Electronics and Instrumentation Engineering

• Dedicated and experienced faculty

• Well equipped laboratories

• Good Alumni support

• Library with good number of books

• Sensors and Instrumentation
•  Health care and Analytics

#	Program Educational Objectives:-The Graduates will be able to:
PEO – 1	Excel in professional career in Electronics, Instrumentation and allied Engineering disciplines.
PEO – 2	Upgrade knowledge for technological advancement to use modern tools.
PEO – 3	Exhibit leadership, team spirit and communication skills with commitment towards requirements of the society

#	Program Specific Outcomes :-The Graduates will be able to:
PSO-1	Empowered with the knowledge of design and analysis of Electronics and Instrumentation systems required for industry, higher education and research.
PSO-2	Able to apply the concepts of design and development in Automation, Control and transmission by selecting suitable hardware and software tools for providing industrial solutions.
PSO-3	Having the knowledge of acquisition, processing and analysis of physical and physiological parameters for industrial and heath care applications.

#	Program Outcomes :-The Graduates will be able to:
PO-1	Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO-2	Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO-3	Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO-4	Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO-5	Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO-6	The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO-7	Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO-8	Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO-9	Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO-10	Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO-11	Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO-12	Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Undergraduate	Postgraduate	Research
B.E. (Electronics and Instrumentation Engineering)	M.Tech. (Biomedical Signal Processing and Instrumentation)	Ph.D.(Electronics and Instrumentation Engineering)

The department Academic advisory committee comprises  HOD, a senior faculty, external academicians, members from industry, alumni members and student members. The committee will review the academic quality and suggest improvements in the related areas.

#	NAME WITH DESIGNATION	CATEGORY
1	Dr.K UmaRani Assoc Prof and Head,Dept of E&I,SJCE(JSSSTU)	Internal Academician Chairman
2	Dr.K.Shailaja Assoc Professor,Dept of E&I,SJCE(JSSSTU)	Internal Academician Convener
3	Dr.H S Mohana Principal,NAVKIS college of Engg,Hassan	External Academician
4	Dr.B G Mohan krishna Founder ,DC sqrd ,Mysuru	Industry
5	Dr.M.ShivaKumar Principal,GSSSIETW,Mysuru	Alumni
6	Dr.M.S Mallikarjuna Swamy Assoc Professor, Dept of E&I,SJCE(JSSSTU)	Internal Academician Member
7	Subash M S	Student

Program Assessment Committee – PAC is constituted to assess the academic process of the program.

The following are the roles of the Program Assessment Committee:

1. Assist in framing Course Outcomes and mapping COs to POs / PSOs.
2. Contribute in the Teaching Learning Process of the program.
3. Suggest additional assessment techniques other than CIE.
4. Verify the course and program attainment process.
5. Verify the action plans and their attainment in each course.

Program Assessment Committee:

1. Dr.Sidram M H

Associate Professor,Dept of E&E,

2. Prof Mahesh K S  

Assistant Professor,dept of CS&E

#	Category	Designation	Name of the person
1	Deans of the faculties Dean(Engg and Technology)	Ex-officio member	Dr.B.Manoj kumar Dr.S B Kivade
2	Head of the Dept	Chair person	Dr K Umarani
3	Senior associate  professor of the concerned dept	member	Dr.K Shailaja Associate professor
4	Senior assistant professor of the concerned dept	member	Mrs.Rajeswari P Assistant professor
5	External subject expert from any reputed academic/research institution/other universities nominated by academic council	member	Dr. J Kamala Associate professor Department of Electronics and communication College of Engineering Guindy, Anna University, Chennai-360025 Phone No- 9444148847 Email id:  jkamalaa@annauniv.edu                 Jkamalaa06@gmail.com
6	External subject expert   from any reputed Academic/Research Institutions/other Universities nominated by the Vice Chancellor upon recommendation by the Dean of respective faculty.	member	Dr. Meenakshi  M, Principal, Dr. AIT , Bengaluru Phone No:9480494025 Email id: meenakshi_mbhat@yahoo.com
7	External members from concerned  industry/ Government Departments/ Public Sector undertakings/ allied area relating to placement, nominated by the Academic Council upon recommendation by the Dean of respective faculty.	member	1.Bharath Kumar Hegde Co-founder & CEO Autoyos Pvt. Ltd. Bangalore. Phone No-7259459469 Email id: bharathkumar.hegde@autoyos.com 2.Lohith H C Global Technology Leader ABB Energy Industry, Services Bengaluru. Email id: lohith.hc@in.abb.com
8	postgraduate meritorious alumnus, to be nominated by the Head of the Department.	member	Kalyani C S Senior software Engineer Philips Innovation campus, Manyata Tech park, outer ring road, Nagavara, Bangalore -560 045                                                        Phone No. : 9980892184 Email id : cs.kalyani92@gmail.com
9	The Chairperson, Board of Studies, may with the approval of the Vice Chancellor, Co-opt as Members: a)   a)   One external subject expert from reputed Academic/ Research Institution/Other Universities/Industry/ Government departments/ public sector undertakings, whenever special courses of studies are to be formulated. b)        Two other members of faculty  of      the concerned Department.	member	Nandish S Assistant Professor (Senior scale) Manipal Institute of Information science, Manipal Academy of Higher Education Manipal -576104 Phone No. : 8105600172 Email id : nandish.s@manipal.edu   Sheela N Rao Assistant Professor   Chaya H P Assisant Professor

Quality Monitoring and Administration Committee (QMAC):

1. Dr.K.UmaRani
2. Dr.M S Mallikarjuna Swamy

Teaching and Learning Committee (TLC):

1. Dr.Nanda S
2. Ms Rajeswari P

Academic Committee (AC):

1. Dr.Rathnakara S
2. Dr.Sheela N

Department Support Activities Committee (DSAC):

1. Dr.Sheela N
2. Dr.K S Babu

Research & Development Committee (RDC):

1. Dr.K UmaRani
2. Dr M S Mallikarjuna Swamy

Laboratory Development Committee (LDC):

1. Dr.Rathnakara S
2. Ms Anusha M U

Time table committee (TTC):

1. Ms.Chaya H P
2. Ms.Ashwini G

ERP committee:

1. Ms.Ashwini G
2. Ms.Anusha M U

ELECTRONICS AND INSTRUMENTATION ENGINEERING

  (Admission Year 2020-2021)

II year ADVISORS  LIST

SL.NO.	USN	NAME	ADVISOR
1.	01JST20EI001	ABHIDHAMMA ACARIYA	Dr. K SHAILAJA
2.	01JST20EI002	ABHISHEK V K
3.	01JST20EI003	ADITYA PAWAR
4.	01JST20EI004	ADVITH K
5.	01JST20EI005	ANAGHA R
6.	01JST20EI006	ANJU V	Dr. K UMARANI
7.	01JST20EI007	BHARATH S
8.	01JST20EI008	BHAVANI R
9.	01JST20EI009	BHOOMIKA
10.	01JST20EI010	BHUMIK MALAI H M
11.	01JST20EI011	DEEPIKA M G	Dr. MALLIKARJUNA  SWAMY M S
12.	01JST20EI012	GAGAN C
13.	01JST20EI013	GAGAN H S
14.	01JST20EI014	GANAVI S S
15.	01JST20EI015	INCHARA M KHANAPURI
16.	01JST20EI016	IRFAN ALI	Dr. NANDA S
17.	01JST20EI017	JYOTHI V J
18.	01JST20EI018	LAKSHMI K T
19.	01JST20EI019	LIKITHA
20.	01JST20EI020	LIKITHA K
21.	01JST20EI021	MEGHANA	P RAJESHWARI
22.	01JST20EI022	MOHAMMED FAWAZ
23.	01JST20EI023	MOHITH B S
24.	01JST20EI024	N PAVAN RAJ
25.	01JST20EI025	NAFIA P M
26.	01JST20EI026	NEHAL PAREK	Dr. RATHNAKARA S
27.	01JST20EI027	NIHARIKA D V
28.	01JST20EI028	NISARGA C L
29.	01JST20EI029	NITIN SHREE SHASTHA L
30.	01JST20EI030	NITISH KUMAR M	Dr. SHEELA N RAO
31.	01JST20EI031	PRAGNA DYAVANUR
32.	01JST20EI032	PRAJWAL S R
33.	01JST20EI033	PRAKRUTHI K P
34.	01JST20EI034	PREETHI G
35.	01JST20EI035	PRIYADARSHINI K B	CHAYA H P
36.	01JST20EI036	RAHUL P
37.	01JST20EI037	RAMESHA B S
38.	01JST20EI038	ROHIT G PAWAR
39.	01JST20EI039	SAHITHYAKAVYAKSHARA V
40.	01JST20EI040	SAMARLA PRANEETH	Dr. K S BABU
41.	01JST20EI041	SAMRUDH N R
42.	01JST20EI042	SANIHA H N
43.	01JST20EI043	SHISHIR M
44.	01JST20EI044	SHIVALI R
45.	01JST20EI045	SHREELAKSHMI R	ANUSHA M U
46.	01JST20EI046	SINCHANA M R
47.	01JST20EI047	SMRITHI BHAT
48.	01JST20EI048	SUBHAS M S
49.	01JST20EI049	SUDHA B
50.	01JST20EI050	T KOTRESH	ASHWINI G
51.	01JST20EI051	TEJASWINI N
52.	01JST20EI052	VARUNI G
53.	01JST20EI053	VINDYA K
54.	01JST20EI054	VINUTHA M S

 

 

ELECTRONICS AND INSTRUMENTATION ENGINEERING

 (Admission Year 2019-2020)

III Year ADVISORS  LIST

SL.NO	USN	NAME	ADVISOR
1.	01JST18EI040	RAMAKRISHNA N
2.	01JST19EI005	BHUMIKA.B.S.	Dr. K SHAILAJA
3.	01JST19EI006	CHAITANYA R
4.	01JST19EI007	CHANDANA C R
5.	01JST19EI009	DEEKSHA S
6.	01JST19EI010	DEEPAK NG
7.	01JST19EI011	DIVYASHREE.B
8.	01JST18EI053	VINAYAKA H
9.	01JST19EI012	H AMITH	Dr. K UMARANI
10.	01JST19EI013	HARISH G KULKARNI
11.	01JST19EI014	INDIRA D
12.	01JST19EI015	JEEVITHA CV
13.	01JST19EI016	KARTHIKEYA PADUBIDRE
14.	01JST19EI017	KARTIK JOLAD
15.	01JST19EI001	ABHINANDAN	Dr. MALLIKARJUNA SWAMY M S
16.	01JST19EI018	KIRAN KUMBAR
17.	01JST19EI019	MANJUNATHA V
18.	01JST19EI020	MANOJ KUMAR R N
19.	01JST19EI021	MANSI. N
20.	01JST19EI023	MILAN
21.	01JST19EI024	MOULYA BHAGATH

 

 

22.	01JST19EI002	AFIYA HAFSA	Dr. NANDA S
23.	01JST19EI025	N VENNILA
24.	01JST19EI026	NAGAPRERANA CS
25.	01JST19EI027	NAMRATHA C
26.	01JST19EI030	NIRAJ JAPAGAL
27.	01JST19EI031	PAVANA.M
28.	01JST19EI003	ANISH SARKAR U
29.	01JST19EI032	POOJASHREE K N	P RAJESHWARI
30.	01JST19EI033	PREKSHA R
31.	01JST19EI034	RACHANA S
32.	01JST19EI035	RAJASHREE SIDDAPPA
33.	01JST19EI036	RAKESH B S
34.	01JST19EI004	ANKITHA C
35.	01JST19EI037	RITU D	Dr. S RATHNAKARA
36.	01JST19EI038	ROHIT KATTIMANI
37.	01JST19EI039	RUTHU ROHIT
38.	01JST19EI040	S DARSHINI
39.	01JST19EI041	SACHIN V B
40.	01JST19EI044	SHASHANK GOWDA B M	Dr. SHEELA N RAO
41.	01JST19EI045	SIDDAYYA
42.	01JST19EI046	SIDDESH S
43.	01JST19EI047	SINCHANA P
44.	01JST19EI048	SOUNDARYA S P
45.	01JST19EI049	SUCHITHA.S	CHAYA H P
46.	01JST19EI051	SUDEEP M
47.	01JST19EI052	T S APARNA
48.	01JST19EI053	TRUPTHI H DAS
49.	01JST19EI054	VARSHA DIGRAJE
50.	01JST19EI055	VINAYAKA P	Dr. K S BABU
51.	01JST19EI056	VITHUBHAVANI
52.	01JST19EI057	YASHWANTH N
53.	01JST19EI058	BRIJESH S SHETTY
54.	01JST19EI059	CHANDANA M U
55.	01JST19EI060	RANJINI V IYER	ANUSHA M U
56.	01JST19EI061	SHASHANK L
57.	01JST19EI062	N SRIKANTH
58.	01JST20EI400	APOORVA
59.	01JST20EI401	GAUTHAM
60.	01JST20EI402	NANDEESH	ASHWINI G
61.	01JST20EI403	PALLAVI
62.	01JST20EI404	SANDEEP KUMBAR
63.	01JST20EI405	SHAMBHAVI
64.	01JST20EI406	SHREE SKANDA

 

ELECTRONICS AND INSTRUMENTATION ENGINEERING

 (Admission Year 2018-2019)

IV Year ADVISORS  LIST

Sl.No.	USN	NAME OF THE STUDENT	ADVISOR
1.	01JST18EI001	AADITYESHA SINHA
2.	01JST18EI006	BHOOMIKA LM	Dr. K SHAILAJA
3.	01JST18EI007	BHUMIKA PD
4.	01JST18EI008	CHAITHRA A S
5.	01JST18EI010	CHANDAN MK
6.	01JST18EI002	AMISH KUTHETHURE
7.	01JST18EI011	CHIRANTH H	Dr. K UMARANI
8.	01JST18EI012	DEEKSHITHA A URS
9.	01JST18EI013	DHANYASHREE
10.	01JST18EI014	HARISHA H L
11.	01JST18EI003	ANAGHA D S
12.	01JST18EI015	HARSHA BHAT	Dr. MALLIKARJUNA SWAMY M S
13.	01JST18EI016	JESSIKA KALYANSHETTI
14.	01JST18EI017	K GAYATHRI
15.	01JST18EI018	K KOUSHIK
16.	01JST18EI004	ANIRUDDHA V S
17.	01JST18EI019	K SUMANTH	NANDA S
18.	01JST18EI020	KAVYA T M
19.	01JST18EI021	MAHESH
20.	01JST18EI022	MAHITH NANDHAN R
21.	01JST18EI005	BHERULAL M
22.	01JST18EI023	MANJUNATH	P RAJESHWARI
23.	01JST18EI025	NANDISH KOLLI
24.	01JST18EI026	NIDHISHREE S
25.	01JST18EI027	NIKITA PRAKASH KAMATAGI
26.	01JST18EI028	NISHANTH SRIVATSA M S	Dr. S RATHNAKARA
27.	01JST18EI029	NISARGA
28.	01JST18EI030	POOJA HEBBALLI
29.	01JST18EI034	RAHUL M ETHAPE
30.	01JST18EI036	RAHUL TEGGI	SHEELA N RAO
31.	01JST18EI037	RAKSHA C
32.	01JST18EI038	RAKSHITH PAI R
33.	01JST18EI039	RAKSHITHA P
34.	01JST18EI046	SOUMYA R B	CHAYA H P
35.	01JST18EI049	S.AIMAN.M
36.	01JST18EI050	THEJASWINI.L.B
37.	01JST18EI052	VARUN V
38.	01JST18EI054	VISHWARAJ	K S BABU
39.	01JST18EI055	VISHWAS HN
40.	01JST18EI056	Y V NAGAMRUTA
41.	01JST18EI057	JAGADEESH DAMBAL
42.	01JST18EI058	K ADITHI	ANUSHA M U
43.	01JST18EI059	PRAGNA P
44.	01JST18EI060	SRIRAKSHA B R
45.	01JST19EI400	AKSHITH GM
46.	01JST19EI401	BHAVANA KR	ASHWINI G
47.	01JST19EI402	NAYANA KP
48.	01JST19EI403	PRATHAP AP
49.	01JST19EI406	THANUJASHREE S
Detained students from admission year 2017- 2018
SL.NO	USN	NAME OF THE STUDENT	ADVISOR
50.	01JST17EI031	PRASHANTH P	P RAJESHWARI
51.	01JST17EI053	VARUN N	SHEELA N RAO
52.	01JST18IT403	M S CHARAN NANDA	K S BABU
53.	01JST18IT405	MANOJ KUMAR M	ANUSHA M U

Details of Lab facilities

Name of the Laboratory	Name of the Important Equipment
Process control and Instrumentation lab	AC and DC Bridges,LVDT and Capacitance transducer module,PLC trainer kits,Bottle filling and elevator modules,Level,Flow ,Pressure and Temperature controllers.
Hardware	Digital  Trainer kits,CRO,Signal Generators,Regulated power supply,Ammeters,Voltmeters,Variacs.
Software	Core i7 computers,8051 Flash kit(DC motor,DAC,ADC,stepper motor,LCD,7segment display) TMS320C6713 DSP trainer kit with code composer studio TMS5416 DSP trainer kit with code composer studio 6437 DSP trainer kit
Research	Core i7 computers with 8GB RAM,Biokit.

Classroom

Department has spacious class rooms with adequate seating capacity. Each class room is provided with a digital board, LCD Projector with screen facility for Audio/ Visual purpose. In addition Green glass boards and Podium are provided in each class room.

Click  here to Download

UG- Even 2023 timetable

Academic Year 2020-21 

Sl.No	Name of the FDP/Conference/Workshop Organized	Date
1	“Automation Trends in Process Industry”	17-07-2020 to 19-07-2020
2	“Research Avenues in Healthcare Technology”	21-07-2020 to 25-07-2020
3	“Concepts, Methods, Challenges and Future Directions in Medical Image Analysis using Machine Learning”	10-08-2020 to 14-08-2020
4	“Biomedical Signal Acquisition and Analysis”	26-08-2020 to 27-08-2020
5	“Design Thinking and Cloud Architectures for Industrial IoT”	26-9-2020
6	“Interdisciplinary topics of Electronics, Instrumentation and Healthcare Engineering”	01-03-2021 to 10-03-2021

Instrument Society of India (ISOI), Student Chapter

Instrument Society of India (ISOI) is a Society of Instrumentation Professionals, established in the year 1970 with head quarters at Indian Institute of Science, Bengaluru.  The Instrument Society of India strives to link academic institutions and instrumentation industry by organizing several programs. It also conducts short term courses, symposia and reviews both for students as well as working professional.  Department of EI is a Life member.

ISOI- SJCE

The instrument society of india, SJCE chapter has been promoting in the field of electronics and instrumentation engineering. It is helped to promote intellectual needs of students through various activities. The SJCE takes pride is the student body aims to nurture the student’s skill. ISOI students’ chapters organized invited talks, workshops and technical events.

Association of Instrumentation Engineers

This society is aimed at encouraging and providing a platform for our students to exhibit their talents.

Activities

• Elites – Annual Fest
• Technical Events: Technical dumb sharrads, Mock placement, Project exhibition etc.
• Cultural programs.
• Inter-departmental Sports events. 

Extracurricular activities-web info

#	Research Guide	Area of Specialization
1	Dr.K Shailaja	Control systems and power converters
2	Dr.K.UmaRani	Biomedical signal & speech processing, Machine learning
3	Dr.M S Mallikarjuna Swamy	Medical image processing & visualization, VLSI
4	Dr.S Rathnakara	Speech signal processing & Rehabilitation engineering
4	Dr Nanda S	Medical Image Analysis & machine learning
4	Dr Sheela N	Medical Image Analysis and machine learning
4	Dr Babu K S	Medical Image Analysis

#	Guide	Research Scholar (Full/Part Time)	Research Topic	Registration Year	Status
1	Dr.K Shailaja	1. Ms.Chaya H P(Part Time) 2. Mr.Praveen Kumar M S(Part Time) 3.Ms.Divyashree(Part Time)	·         Design of noninvasive micro electromechanical system based sweat sensor for diagnosing human body. ·         Extensive study and characterization of  Pervoskite Polymer Nano Composites for sensor and Photonic Application ·         Analysis and control of Reactive Power of vehicle  to Grid systems with electric vehicle as distributed source.	2017-18 2017-18 2017-18	In Progress In Progress In Progress
2	Dr K UmaRani	Ms Anusha M U(Part Time)	Classification of  Neurological diseases using image processing techniques and machine learning algorithm.	2019	In Progress
3	Dr.Mallikarjuna Swamy M S	1. P Praveen(Part Time)   2.  MaheshKumar A S (Part time)   3.      Mrs.Soumya M S (Part Time)	·         Extraction and analysis of clinically significant features of LowerBack Pain (LBP) from radiography images and IR Thermography images using image processing techniques   ·         Extraction of clinically significant features of RA affected joints from radiology (X-ray/CT) images and thermography images: a comparative study ·         A study on musculoskeletal complications and immune systems in diabetic mellitus patients and diagnostic tools	2017-18 2017-18 2020-21	In Progress In Progress In Progress
4	Dr.Rathnakara S	1.      Mr.Shiva kumar   2.      Ms Ashwini G	Region of interest based medical image encryption and transmission Hand Gesture to speech conversion	2017-18   2021	In Progress   In Progress
5	Dr.Sheela N	Anupama B C	Medical image analysis area	2023	In Progress

Completed Funded Project Details:

#	Project Title	Principal Investigator	Duration	Funding Agency	Amount	Action	Date of Sanction
1	Development of Robust Instrument for Conversion of Hindi Braille to speech	Dr.V UdayaShankara	(2012-16)4years	Council Of Scientific And Industrial Research (CSIR)	14.5Lakhs	Completed	2012
2	To design and develop a programmable FES system to Rehabilate the foot drop patients	Dr.sukumar M	(2007-9) 3 years	DRDO	8 lakhs	Completed	2007
3	Neural networks for performance enhancement of Digital hearing aid.	Dr.V.Udayashankara	(2001-2004) 4Years	AICTE	10Lakhs	Completed	2001

Interdisciplinary/multidisciplinary collaboration is a key for success in the research. The department has national and international collaborations from academic and research institutions.

Dr.  MALLIKARJUNASWAMY M.S., Dept of E&I

1. Dr. Chandrashekar S.,

Chanre Rheumatology & Immunology Center & Research (CRICR)

No. 65 (414), 20th Main, West of Chord Road, Rajaji Nagar, 1st Block, Bengaluru -560010

Outcome: Joint Publications as Springer Book Chapter

1.     P. Praveen, Mallikarjunaswamy M.S., Chandrashekhara S., ‘Influence of Aging and High BMI on Lower Back Pain’, Machines, Mechanisms and Robotics, Lecture Notes in Mechanical Engineering(LNME), Springer Singapore 2021, pp. 27-31(DOI 978-981-16-0550-5_4)
2.     Mahesh Kumar A. S., Mallikarjunaswamy M S, Chandrashekara S, ‘Detection of Rheumatoid Arthritis using a Convolutional Neural Network’, Innovative Computing and Communications: Advances in Intelligent Systems and  Computing, Vol. 1387, Springer Singapore 2021, pp.607-618 (DOI: 978-981-16-2594-7_50)

 

2. JSS AHER and JSS Hospital

Outcome: Joint Publications in Q4 journal

1.   Mallikarjunaswamy M. S., Mallikarjun S Holi, Rajesh Raman and Sujana Theja J S. ‘Visualization of Meniscus from Knee Joint MRI and Assessment of its Size Differences due to Age, Gender and BMI’, International Journal of Bioinformatics  Research and Applications, Vol.17(3), 2021, pp:275-287. DOI: 10.1504/IJBRA.2021.117171

 

The thrust area for research activities carried out in the department includes

• Biosignal Processing
• Image Analysis

Sl no	Title of the Paper	Authors	Journal Name with ISSN Number	Journal Details	IF
1	‘Visualization of Meniscus from Knee Joint MRI and Assessment of its Size Differences due to Age, Gender and BMI’	Mallikarjunaswamy M. S., Mallikarjun S Holi, Rajesh Raman and Sujana Theja J S	International Journal of Bioinformatics  Research and Applications 1744-5485	Vol.17(3), 2021, pp:275-287.  DOI: 10.1504/IJBRA.2021.117171	0.37(0.554)

Placement Statistics

 

Particulars	2021-22	2020-21	2019-20	2018-19	2017-18	2016-17
No of students	62	54	56	61	62	63
No of students placed	48	41	40	43	56	32
Higher studies	–	3	3	3	6	1

Events conducted by the department

2020-21

#	EVENT NAME	RESOURCE PERSON	DATE
1	“Automation Trends in Process Industry”	1.Mr. J Shiva Prasad Project Manager ,XNG Automation, Bengaluru. 2.Mr. R. Raghavendran Deputy General Manager, Yokogawa India Ltd , Bengaluru. 3.Mr. Anil Kumar Vice President EPC Business Development, Schneider Electric, Singapore	17-07-2020 to 19-07-2020
2	“Research Avenues in Healthcare Technology	1.Mr. Abhijith Baillur Research and Development Engineer Qripto Technologies Pvt. Ltd.Bangalore 2.Prof. Sheeba Pakkan Bibliometrician, Directorate of Research,Centre for Research on Research,Manipal 3.Dr. Rajesh R Prof. & Head, Department of Radiology,Mandya Institute of Medical Sciences, Mandya 4.Dr. Kishore Kumar Ultrasound R&D, Philips Healthcare, Andover, Massachusetts, USA 5.Dr. Bharathkumar Hegde Co-founder, Autoyos Private Limited, Bangalore	21-07-2020 to 25-07-2020
3	“Concepts, Methods, Challenges and Future Directions in Medical Image Analysis using Machine Learning”	1.Dr. Bhanu Prakash K N Group Leader at Signal and Image Processing Group (SIP), Singapore Bioimaging Consortium, A*STAR 2.Dr. Suryakanth V Gangashetty Speech Processing lab, IIIT, Hyderabad 3.Mr.Abhijith Bailur R&D Engineer, Qripto Technologies Pvt. Ltd.,Bengaluru 4.Dr. G Shivakumar Prof. & Head Dept. of E&IE, MCE, Hassan 5.Dr. Anand Raj Ulle Asst.Professor, Dept. of IS&E, SJCE Mysuru 6.Dr. Shivmurthy P M Asst.Professor, Dept. of CS&E,SJCE Mysuru	10-08-2020 to 14-08-2020
4	“Biomedical Signal Acquisition and Analysis”	1.Dr. G Shiva kumar Prof and Head ,Dept of E&I MCE hassan.  2.Dr.Mallikarjun S Holi Principal UBDTCE,Davangere. 3.Dr.T Shreekanth Project Manager, Automotive Embedded Platform Software L & T Technology Services  Mysuru. 4 Mr.S Kumar Sr. Manager – Biomedical Application; T&M TMI Systems, Bangalore	26-08-2020 to 27-08-2020
5	“Design Thinking and Cloud Architectures for Industrial IoT”	Mr. Anand Venkat Design Thinker & Go-To Market Specialist Digital Business Solutions Pasir Ris, Singapore	26-9-2020
6	“Interdisciplinary topics of Electronics, Instrumentation and Healthcare Engineering”	1.Dr. Venkatratnam Chitturi CEngg. Faculty in School of Engineering Asia Pacific University of Technology and Innovation, Kualalumpur, Malaysia 2.Mr. Raghu Vishwanath Co-Founder & Managing Partner Bluemind Solutions, California, USA 3.Mr. Prasad Srinivasamurthy Vice President, Omnicell San Francisco Bay Area, USA 4.Mr. Banuprakash Biligere Manager IT Program Management Citibank corporate office, Mckinney, Texas 5.Mr. Anupam Srivastava Director-Business Development, Refinery and Petrochemical, Emerson Process Management(India) Pvt. Ltd, Gurugram-122002 6.Ms. Hemapriya Dhamodaran Specialist, Clinical Technologist Royal infirmary of Edinburgh Edinburgh, Scotland, United Kingdom 7.Mr. Datta Prasad Krishnappa Principal Software Engineer Menara Networks Allen, Texas,United States 8.Mr. Nagendra Sanjeeva Senior Vice President: MasterCard IT Transformation Executive – Global Head of Technology – CTO, Chesterfield, Missouri 9.Mr. Kuttappa Bittinanda Vice president, ARM India, Bengaluru 10.Dr. Chandrashekar S. ChanRe Rheumatology and Immunology Centre & Research, Bengaluru	01-03-2021 to 10-03-2021

Workshop conducted

International workshop on “Interdisciplinary topics of Electronics, Instrumentation and Healthcare Engineering”	23rd – 28th December 2022	Dr.Mallikarjunaswamy M S, Dr. Nanda S, Dr. Sheela N Rao	ESPAR, USA, JSS STU, Mysuru
Five Day Workshop on “Industrial Automation, PLC and SCADA”	29th March – 5th April 2023	Dr.Rathnakara S, Ms. Rajeshwari P, Ms. Ashwini G	Vidyut Automation, Mysuru, JSS STU, Mysuru

workshop report-web info

Sl.no	Name	Designation	Company	City
1	Sudhanva D	CEO	Excelsoft           Technologies	Mysore
2	Javagal srinath	ICC Match Referee
3	Anitha Venkatesh	Founder and Principal	Adithya Institute of Management and Information Technology	Mysore
4	Raghunath T R	Founder	RMSTechnologies	Bangalore
5	Ganesh Subramaniam	Vice President (R&D)	muRata Vios Pvt. Ltd.	Bangalore
6	Nagendra Shetty	Founder	Ideas Unlimited	Mysore
7	Dr K.N.Bhanu Prakash	Scientist	Bioinformatics Institute(Astar)	Singapore
8	Dr.Tomy Verghese	Associate Professor	University of Wisconsin Medical School	USA
9	Ms.Sowmya Achar	IAS Officer	Government sector	Bangalore
10	Mr.V.B.Hande	Principal Engineer	Siemens R&D center Electronic city,	Bangalore
11	Mr.Suresh	Deputy General Manager	Yokogawa India Ltd,	Bangalore
12	Ms.Veena	Deputy General Manager	Tata consulting Engineers	Bangalore
13	Ms.Uma	scientist F	ADA	Bangalore
14	Mr. Venkatesh Murthy	Deputy General Manager	Velankani Software	Bangalore
15	Mr. Sanjay David	Regional Manager	Siemens India	Chennai.
16	Dr.Manjunath	Asst Professor	School of Medical Technology,IIT	Kharagpur
17	Dr.Kishore Kumar	Sr.Research Engineer,	Philips Health Care	Bangalore
18	Tenny John		Wipro GE Medical system	Trivandrum
19	Dr. Suresh D.S	Director	CIT	Gubbi
20	Padmashree N	Software Programmer	Technical Solution Inc. EL Paso	USA
21	Krishnakumar	Entrepreneur and Supply Chain Enthusiast	Simbus technologies Pvt.Ltd.	Bangalore

Faculty members and research scholars undertake research work along with their regular teaching workload. They have published around “In_Numbers”+ Articles in Journals / Conferences. Some of the quality publications are listed here.

 

Papers published in last Five years:

International Journals	International Conferences
65	30

Faculty Publications 2016-2021

Name of the Faculty	Journals	Conference Proceedings	Book/ (Book Chapter)	Total (Scopus/WoS)
Dr. V. Udayashankara	60	64	4	128
Dr. K. Shailaja	10	13		23
Dr. K. Umarani	11	18		29
Dr.Mallikarjunaswamy M.S.	25	18	7	50
Dr. Nanda S	12	13		25
Mrs. P. Rajeshwari	5	9		14
Dr. S. Rathnakara	15	21		36
Dr. Sheela N Rao	11	10		21
Ms. Chaya H P	2	6		8
Dr. K. S. Babu	3	2		5
Mrs. Ashwini G	–	1		1
Mrs. Anusha M U	1	4		5
Total				340 (50)

Dr. V. Udayashanakara

 

Text Books 

1. Udayashankara  and M.S. Mallikarjunaswamy, “8051 Microcontroller: Hardware, Software and Applications”,  McGraw-Hill, 2009.
2. Udayashankara, “Real Time Digital Signal Processing”, Prentice Hall India, 2010.
3. Udayashankara, “Modern Digital Signal Processing-includes signals and systems, Matlab programs, DSP Architecture with Assembly and C programs” Prentice Hall India-2012, 3rd  Edition -2016
4. Udayashankara, “Speech signal processing”, IK International, 2022

 

International Journals

1. Gour G.B., Udayashankara V, Badakh D.K., Kulakarni Y.A. (2021) ,“Voice disorder identification of Laryngeal cancer patients”,  International Journal of Advanced Computer Science and Application, Vol. 11, Issue 11, Pages 352-358
2. Gour G.B., Udayashankara V, Badakh D.K., KulakarniY.A.,(2020), “Frame work based supervised voice activity detection using linear and nonlinear features”,  International Journal of Computer Science and Engineering, Vol. 11, Issue 6, Pages 935-942.
3. R. Kiranmayi and V.Udayashankara, (2020) “Detection  of Epilepsy using discrete cosine harmonic wavelet transform-based features and neural network classifier” International Journal of Biomedical Engineering and Technology, Vol.32 No.2 Pages 109-122
4. Bindu Shree C, Navya Bharathi K S, Dr. V Udayashankara,(2020) “Asystole and Atrial fibrillation Arrhythmia Classification of ECG signals”  International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE) , e-ISSN: 2278 – 8875, p-ISSN: 2320 – 3765, Vol. 9, Issue 5.
5. Navya Bharathi K S, Bindu Shree C, Dr. V Udayashankara,(2020) ” Implementation of Digital Hearing AID for Sensory Neural Impairment”  International Journal of Trend in Scientific Research and Development (IJTSRD), e-ISSN: 2456 – 6470, Vol. 4 Issue 4.
6. S. Raju and V Udayashankara, (2018)  “A Survey on Unimodal, Multimodal Biometrics and its Fusion Techniques”, International Journal of Engineering & Technology, 7 (4.36), 689-695.
7. A S Raju, V Udayashankara,(2018)  “Performance Evaluation of Multimodal Biometrics System”, International Journal of Pure and Applied Mathematics, Volume 118, No. 5, pp 367-381.
8. Amaresh P Kandagal, V.Udayashankara, (2018) “Audio and Audiovisual Speech Recognition for Noisy Acoustic Conditions, International Journal of pure and applied Mathematics, Volume 118, No 5, PP 353-365.
9. Amaresh P Kandagal,V.Udayashankara, “Speaker Independent speech recognition using maximum likelihood approach for isolated words, International Journal of Computer Applications, Volume-7, No.6, PP 72-83, 2017.
10. Amaresh P Kandagal,V.Udayashankara, “Visual Speech Recognition Based On Lip Movement for IndianLanguages”,InternationalJournal of Computational Intelligence Research (IJCIR), ISSN 0973-1873 Volume 13, Number 8, pp. 2029-2041, 2017
11. Amaresh P Kandagal,V.Udayashankara, “Speech Corpus Development for Speaker Independent Speech Recognition for IndianLanguages”, Grenze International Journal of Engineering & Technology (GIJET),  ISSN: 2395-5287, 2017
12. R.Kiranmayi and V.Udayashankara, “Neural network classifier for the detection of Epilepsy/Seizure based on bispectrum features”, International Journal of Advanced Research in Engineering and Technology, Volume 8, Issue 6, 121-130, Nov-Dec 2017.
13. Raju A S, V Udayashankara, “Database Evaluation of ECG Fingerprint and Face Multimodal Biometric System”, Grenze International Journal of Computer Theory and Engineering,​Vol 3, Issue 4, pp. 142-151,2017
14. S and Dr.V.Udayashankara “System Identification in Speech Signal Using Modified Kalman Based Normalized Least Mean Square (NLMS) Algorithm”-IJARCSSE Volume 7, Issue 3, March 2017,PP180-184  ISSN 2277 128X
15. S and Dr.V.Udayashankara “Real Time System Identification for Speech Signal Implemented on TMS320C6713” IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 7, Issue 2, Ver. I (Mar. – Apr. 2017), PP 20-25 ISSN 2319-4197
16. S and V. Udayashankara. Enhancement of Speech Signal using Improved NLMS Algorithm. Communications on Applied Electronics 6(9): PP-34-37, April 2017 ISSN 2394-4714
17. S, V.Udayashankara,”Estimation of Noise in Nonstationary Signals Using Derivative of NLMS Algorithm”, International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.8, pp.9-16, 2017.DOI: 10.5815/ijigsp.2017.08.02 , ISSN 2074-9082
18. Shreekanth,  V.Udayashankara and Pavan V.Naidu, “An Efficient Recursive Technique for BrailleDot Extraction in Optical Braille Recognition through Frequency Domain Approach”, Advances in Computing, Control and Communication Technology, pp. 107–114, 2016.
19. Megha Gadag and V.Udayashankara, “Generation of English text from scanned Braille document”, International Journal of Engineering Science and Computing, Volume 6 Issue No. 4, April 2106.
20. Megha Gadag and V.Udayashankara, “Efficient approach for English Braille to text conversion”English text from scanned Braille document”, International Journal of Engineering Science and Computing, Volume 6 Issue No. 4, April 2016.
21. Shreekanth and V.Udayashankara, “A Histogram Based Two-Stage Adaptive Character Segmentation for Transcription of Inter-Point Hindi Braille to Text”, International Journal of Image and Graphics, World Scientific, Vol.15, No.3, 2015.
22. Shreekanth and V.Udayashankara, “A New Research Resource for Optical Recognition of Embossed and Hand-Punched Hindi Devanagari Braille Characters: BHARATI BRAILLE BANK“, International Journal of Image, Graphics and Signal Processing, Vol.7, pp 19-28, 2015.
23. Shreekanth and V.Udayashankara, “Duration Modelling Using Neural Networks for Hindi TTS System Considering Position of Syllable in a Word”, Computer science Journal,Elsevier, Vol 46, pp.60-67,2015.doi:10.1016/j.procs.2015.01.056
24. Shreekanth and V.Udayashankara, “An application of Eight Connectivity based Two-pass Connected-Component Labelling technique for double Sided Braille Dot Detection”, International Journal of Image Processing, Vol 8(5), 2014, pp. 294-312.
25. Shreekanth and V.Udayashankara, “Braille dot extraction for Optical Braille Character Recognition through unsharp masking: A frequency domain filtering approach”, International Journal of Recent Trends in Engineering and Technology, ACEEE. (Accepted on July 14, 2014)
26. Shreekanth and V.Udayashankara, “An Unit Selection based Hindi Text to Speech Synthesis System Using Syllable as a Basic Unit”, Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 4, Issue 4, Ver. II (Jul-Aug. 2014), PP 49-57 e-ISSN: 2319 – 4200, p-ISSN No. : 2319 – 4197.
27. Shreekanth and V.Udayashankara, “An Algorithmic approach for double sided Braille dot recognition using image processing Techniques”, International Journal of Image processing and Visual Communication, ISSN:2319-9784 , Vol.2 , Issue 5, June 2014.
28. R.Kiranmayi and V.Udayashankara, “EEG Subband Analysis using Approximate Entropy for the detection of Epilepsy”, IOSR Journal of Computer Engineering, ISSN:2278-8727, Volume 16, Issue 5,  2014.
29. C, Shreekanth.T and V.Udayashankara,” Development of Speech Database for Hindi Text-To-Speech System Considering Syllable as a Basic Unit “,International Journal of Advanced Research in Computer Science and Software Engineering ISSN: 2277 128X, Volume 4, Issue 5, May 2014.
30. Shreekanth and V.Udayashankara, “A Review on software algorithms for optical recognition of embossed Braille characters”, International Journal of computer applications (0975-8887), Vol.81-No.3, November 2013.
31. S.L., and V. Udayashankara “Performance enhancement of digital hearing aid by   adaptive Walsh Hadamard for sensorineural Hearing impairment ” , IJESC, Vol-4, No2, July-Dec 2012, PP 65-67.
32. S.L., and V. Udayashankara “Adaptive complex transformation for sensorineural impairment: A practical approach” International  Journal of Scientific and Engineering Research ISSN 2229-5518, Vol 3,  Issue 7,  July-2012.
33. S.L., and V. Udayashankara “Practical approach: Adaptive filtering for Sensorineural hearing impairment” International  journal of advanced biotechnology and research ISSN 0976-2612, Vol 2,  Issue 1,  2011, pp 183-189.
34. G. Hiremath and V.Udayashankara, “Role of NeuroTransmitters in Epilepsy” International Journal of Computer Science and Engineering Systems, April 2008.
35. Sunitha S.L. and V.Udayashankara, Fast recursive DCT-LMS speech enhancement for performance enhancement of Digital Hearing Aid, International Journal of computing and applications, Page no. 65-76, Vol 1(1), June 2006.
36. Sunitha S.L. and V.Udayashankara,  Recursive DCT-LMS Speech enhancement for performance of digital hearing aid, AOIJ, Vol. 18, 2006.
37. Sunitha S.L. and V.Udayashankara, Fast Factored DCT-LMS Speech Enhancement for Performance Enhancement of Digital Hearing Aid . Transactions of Engineering Computing and Technology, page no.253-257, Vol.10, Dec 2005.
38. Sunitha S.L. and V.Udayashankara, DHT-LMS Algorithm For Sensorineural Loss Patients, Transactions of Engineering ,Computing and Technology, page no. 249-252, Vol. 10, Dec 2005.
39. G. Hiremath and V.Udayashankara, Neural Network Model for Seizure Activities of the Brain (Characterization of Glut-1 Deficiency Syndrome), International Journal of Information Technology (International Academy of Sciences), page no. 125-131, Vol. 2, No.2, 2005.
40. N.Suresh and V.Udayashankara, A new Technique for Multi resolution Characterization of epileptic spikes in EEG, International Journal of Information technology, Page no. 42-45, Vol. 2, 2005.
41. G. Hiremath and V.Udayashankara, Neural Network Model For Seizure Activities of the Brain (A Chaotic Model of Generation), International Journal of Systemics, Cybernetics and Informatics, April 2006. ( ID.No A 06-05)
42. N. Suresh and V. Udayashankara, Real time analysis of EEG signals using Neural Network and Wavelet Transform,    International Journal of Computers and Applications,  Aug 2006. ( journals@actpress.com,  Paper No. 202-1963).
43. Suresh D.S. and V.Udayashankara, Web enabled centralized hub for wireless communication using MCF-5272-32 bit Motorola Microcontroller, International Journal of Computer systems science and Engineering.
44. N.Suresh and V.Udayashankara, Real time analysis of EEG signal using neural network and wavelet transform, International Journal of Computers and applications, Aug 2006.
45. Udayashankara and A.P. Shivaprasad, Digital Hearing Aid – A Review, International Journal on Medical Physics and Biomedical Engineering, Page no. 121-126, Brazil, 1995.
46. Udayashankara and A.P.Shivaprasad, The Application of Voltera LMS Adaptive Filtering  to     Speech     Enhancement     for   the  Hearing   Impaired,   International   Journal   on Speech Communication And Technology, Madrid, Spain, Page no. 1871-74, 1996.

 

National Journals

1. Suresh D.S.  and V.Udayashankara, Hardware security for steganography, Journal on Engineering and Technology, Vol.2. No.2, Page no. 17-22, Nov-Jan 2007.
2. Sunitha  S.L. and V. Udayashankara,  Fast factored DCT-LMS speech enhancement for performance enhancement of digital hearing aid, Industrial Engineering Journal ,  Mumbai, Page no. 37-41, Feb.  2007.
3. Suresh D.S. and V. Udayashankara, Web Enabled Centralized HUB for Wireless communication using MCF-5272 Motorola Microcontroller, Journal on Software Engineering Vol.1, No.2,  Page no. 86-95, Oct. to Dec. 2006.
4. Suresh D S and V Udayashankara, Fingerprint Recognition and Matching Using Minutiae Technique and Artificial Neural Networks, Journal on Engineering and Technology,  vol. 1, No. 4 , Page no. 12-18,  May-July 2006.
5. Suresh D.S. and V.Udayashankara, Finger Print & matching using minutiae technique and ANN,  Journal of Engineering and Technology, Vol. 1 No. 4, Page. No. 42-51, May-July , 2006.
6. Sunitha S.L. and V.Udayashankara, Adaptive DFT based Speech Enhancement Algorithm for Sensorineural Loss Patients, Bioinformatics Journal, India, Volume 3, Issue 2, Aug.-Oct.  2005.
7. Sunitha S L and V.Udayashankara, Modified DCT-LMS speech enhancement for performance enhancement of digital hearing aid, Engineering Today, Journal of Technological World, Page no. 16-19, Vol-7, Issue-2005.
8. N. Suresh and V.Udayashankara,  Multiresolution characterization of epileptic spikesin EEG,   Bio-Informatics Journal, India, Page no. 29–33, July-Sep 2005.
9. Sunitha S.L. and V.Udayashankara, FFT based DCT-LMS speech enhancement technique for performance enhancement of Digital Hearing Aid, Journal of Computer Science, 2006
10. Sunitha S.L. and V.Udayashankara,  Discrete Walsh Hadamard (Sequence ordered) LMS Speech enhancement algorithm for performance enhancement of digital hearing aid, IJIST, Nov 2006.
11. Suresh D.S. and V Udayashankara, Hardware Security for Steganography, Indian Journal of Information Science and Technology.
12. Suresh D.S. and V Udayashankara, Fingerprint Enabled Image Encryption, Journal on Engineering and Technology.
13. Suresh D.S. and V Udayashankara, External Hardware security for steganography, Nov – Jan 2006, Journal on Engineering and Technology.
14. Udayashankara  and A.P. Shivaprasad,  A  Digital  Filter bank Hearing   Aid   Design  and  Implementation,  Journal   of   the Instrument Society, India,   P. 96 – 100, Vol. 24, 1994.

 

International Conferences

1. Amaresh P Kandagal and V.Udayashankara, “Speech Corpus Development for Speaker Independent Speech Recognition for IndianLanguages”, International Conference on Signal, Image Processing Communication and Automation (ICSIPCA- 2017), JSS Academy of Technical Education, 6^th  &7^th  July 2017.
2. Amaresh P KandagalandV.Udayashankara, Anusuya M.A.”SilentSpeech Recognition”, international conference on cognitive computing and information processing, Springer, 2017.
3. Pradeep M N and  Udayashankara V, “Survey of Spatial Audio Enhancement for Digital Hearing Aid”, International Conference on Signal, Image processing, Communication and Automation, JSS Academy of Technical Education, 6^th &7^th  July 2017.
4. Raju, A S, and V Udayashankara, “Multimodal Biometric Database and its Privacy Protection”, International Conference on Signal, Image Processing Communication and Automation – ICSIPCA, pp 557-564, 2017.
5. A S Raju and  Udayashankara V “Database evaluation of ECG, Fingerprint and Face Multimodal Biometric system”, International Conference on Signal, Image processing, Communication and Automation, JSS Academy of Technical Education, 6^th &7^th  July 2017.
6. Vijay kumar and V.Udayashankara, “Smart Real-Time Health care Monitoring and Tracking system based on IOT”, International Conference on Signal, Image processing, Communication and Automation, JSS Academy of Technical Education, 6^th &7^th  July 2017.
7. Udayashankara  and Swapna Havalgi, “Speech Therapy System to Kannada Language”, Second International Conference on Cognitive Computing & Information Processing, Aug 12-13, 2016, SJCE, Mysore.
8. Shreekanth and V.udayashankara, “An Adaptive Approach for Optical Recognition of Inter-Point Hindi Devanagari Braille and its Transcription to Text”, Advances in Computer science Research, Atlantis Press, International Seminar on Computation, Communication and Control, Sydney, Australia, pp.32-36, Mar 2015. doi:10.2991/is3c-15.2015.
9. T, Udayashankara. V., “A two stage Braille Character segmentation approach for embossed double sided Hindi Devanagari Braille documents,” IEEE International Conference on Contemporary Computing and Informatics (IC3I) ,pp.533-538, 27-29 Nov,2014. doi: 10.1109/IC3I.2014.7019590.
10. Amaresh P Kandagal and V.Udayashankara,Automatic bimodal audiovisual speech recognition: A review, International Conference on Contemporary Computing andInformatics (IC3I), , 940-945, 27-29, Nov 2014.
11. A S Raju and V.Udayashankara,,Biometric person authentication: A review, International Conference on Contemporary Computing and Informatics (IC3I), 27-29, Nov 2014.
12. Shreekanth and V.Udayashankara, “Braille Image Enhancement using Frequency Domain Filtering Approach for Optical Braille Character Recognition”, Proc. of Int. Conf. on Recent Trends in Signal Processing, Image Processing and VLSI, ACEEE, 2014. pp. 449-457.
13. G.R.Kiranmayi, Dr.V.Udayashankara, Neural Network classifier for the detection of Epilepsy, proceedings of theInternational IEEE Conference on Circuits, controls and communications ,CCUBE 2013, 27 – 28 December.
14. Gururaj B Gour and V.Udayashankara, A New Diagnostic Approach: Voice Analysis of Thyroid Patients after Thyroid Surgery without Laryngeal Nerve Injury, International Conference on Multimedia Processing, Communication and Information Technology- MPCIT-2013, JNNCE, Shimoga, (ISBN 978-81-910691-6-7), 19^th to 21^st December 2013.
15. Shreeshayana and Dr.V.Udayashankara, Glioma multiforme brain tumor segmentation using soft computing techniques with integrated radiology study maker, International conference on Electronics and communication engineering, 28^th April-2013, Bengaluru, ISBN 978-93-83060-04-7
16. S and Dr.V.Udayashankara “Speech Enhancement using Normalized LMS algorithm” International conference on Communication,VLSI and Signal Processing, ICCVSP2013, SIT Tumkur 20-22^nd Feb’2013.
17. Gururaj B Gour and V.Udayashankara, Investigation of voice of Thyroid patients for the development of noninvasive diagnostic tools, ICETIT, VTU, Belgaum, Oct, 2012.
18. R.Kiranmayi and V.Udayashankara, Bispectrum analysis of EEG for the detection of epilepsy, ICETIT, VTU, Belgaum, Oct, 2012.
19. R.Kiranmayi and V.Udayashankara, Automatic Detection of Epilepsy: A Review, International conference on current trends in Engineering & Management, (ICCTEM), VVCE, Mysore, July 12-14, 2012.
20. Shiva kumar C. and V.Udayashankara, Kannada digits speech recognition for permanent deaf patients, International conference on current trends in Engineering & Management, (ICCTEM), VVCE, Mysore, July 12-14, 2012.
21. G.Hiremath and V.Udayashankara, Networks of Hippocampal Interneurons: A Model for Neuronal Epileptical Oscillations, Eighth International Conference on Nano Structured Materials (NANO 2006), Indian Institute of Science, Bangalore, India, August 20-25, 2006.
22. N. Suresh and V.Udayashankara,  Real Time Processing of EEG Signals using Neural Network based Adaptive Filter,  International – Multi conference on Informatica sciences & Transactions. Istanbul, Turkey,  Page no. 22-24, January 26^th to 27^th 2006.
23. Sunitha S.L. and V.Udayashankara, DHT – LMS for Sensorinerural Loss Patients, MERG 2005, International Conference on Current Trends of Information Technology, Bhimavaram, Andhra Pradesh, March 4-6, 2005
24. Sunitha S L  andV.Udayashankara,   NLMS  Speech Enhancement for Sensorineural Hearing Loss Persons, International Conference on Distributed Multimedia Systems, (DMS’ 2005), Aug 20-26, 2005.
25. Sunitha S L and V.Udayashankara,  DWT-LMS Technique For Performance of Digital Hearing Aid, ICSCI-2005, Pentagram Research Centre, Hyderabad, India, Page no. 356-361,  Volume 1, Jan 6-9, 2005. (Best paper of the session)
26. G. Hiremath and V Udayashankara,  Neural Network Model for Seizure Activities of Brain, International Conference on Computational intelligence (World Enformatica Congress) Istanbul, Turkey, Nov 2005
27. G. Hiremath and V Udayashankara, Computational Concepts Kindling Model ICSCI 2005, International Conference on Systematics, cybernetics and informatics, Pentagon Research Center, Hyderabad, India,  Page no.158-163,  Vol. 1, Jan 6-9 , 2005.
28. HN Suresh and V.Udayashankara, Characterization of EEG signals using wavelet Transform  ICSCI 2005, International Conference on Systematics, cybernetics and informatics. Pentagon Research Center Pvt Ltd. Mehdipatnam, Hyderabad, page no. 558-560, Vol. 1of 2, January 6^th
29. HN Suresh and V.Udayashankara,  Automatic Detection of EEG  spikes using wavelet transform and artificial neural network,  The International Association of science and technology for development,  International Conference on Modeling and Simulation, in Cancun,  Mexico,  page no. 238-240, May 18^th to 20^th
30. HN Suresh and V.Udayashankara, Characterizing regularity and singularities in EEG using wavelet transforms,  The International Association of science and technology for development, Conference on Applied Modeling and Simulation, Benalmadena, Spain, Page no. 448-454, June 15^th to 17^th
31. Suresh  D.S. and V.Udayashankara, Web Enabled Centralized HUB for Wireless Communication, MERG, International Conference on Current Trends of Information Technology, Page no. 183-184,  Oct. 1^st– 3^rd
32. Suresh  D.S. and V.Udayashankara, Fingerprint Enabled Image Encryption, MERG, International Conference on Current Trends of Information Technology, Page no. 102-104,  Oct. 1^st– 3^rd
33. Udayashankara and A.P.Shivaprasad, The Application of Voltera LMS Adaptive Filtering   to  Speech  Enhancement  for   the  Hearing   Impaired,   4th    Eurospeech Conference  on  Speech Communication And Technology, Madrid, Spain, Page no. 1871-74,18 – 21, Sept. 1995.
34. Udayashankara and A.P. Shivaprasad, Noise  Reduction  in Speech  using  Newton type Adaptive Algorithms  for  the  Hearing Impaired,   International   conference   on   signal   processing application and Technology, Boston, MA, USA, 24 – 26th Oct.1995.
35. Udayashankara and A.P. Shivaprasad, Digital Hearing Aid – A Review,  World  Congress on Medical  Physics  and  Biomedical Engineering, Brazil, 21 – 26 Aug, 1994.
36. Udayashankara and Mudduveerappa, Therapeutic Robot, North Sea Conference on Biomedical Engg., Nov., 1990.
37. Udayashankara  &Mudduveerappa,  GPIB   Compatible Electroneurograph,     13th    Annual    Joint    meeting     of Electroencephalography  and  clinical  Neurophysiology,   Prague, Czechoslovakia, May 14 – 17, 1990.
38. Udayashankara and M.N.Shivaram, Sound Sensitive Artificial Hand,  12th   Annual   International   Conference,   IEEE/EMBS, Philadelphia, Nov., 1 – 4th, 1990.
39. Udayashankara  and  A.P.Shivaprasad,  GPIB   Compatible Electrocardiograph,  International Symposium on  Instrumentation Methods  of Electroanalytical Techniques, Nov.,  1987,  S.J.C.E., Mysore, India.

 

National Conferences

1. Gururaj B. Gour and V. Udayashankara, Investigation of objective voice changes after thyroid surgery without laryngeal nerve injury, National Conference on communication & soft computing, NCCSC-2012, KSIT, Bangalore 9^th Aug 2012.
2. Gururaj B. Gour and V. Udayashankara, Investigation of objective voice changes after thyroid surgery without laryngeal nerve injury, National Conference on signal processing and communication R.V.C.E. Bangalore., 17-18 May 2012.
3. Avinash K.R. and V. Udayashankara, Identification of normal and Parkinson’s patients based on voice analysis using hybrid approach, National Conference on signal processing and communication R.V.C.E. Bangalore., 17-18 May 2012.
4. Jyothi B.and V. Udayashankara, Automated analysis of Brainstem evoked response using wavelets and neural networks, National Conference on Recent trends in communication technology, Tumkur university, 12-13 Jan 2012 (Best oral presentation).
5. S and V. Udayashankara, Noise Estimation for Speech Enhancement, National Conference on Computational Control systems and Optimization, Dr.A.I.T., 12-13 May 2011.
6. Avinash K.R. and V. Udayashankara, Voice Disorder Identification for classification of Normal and Parkinson’s patients using hybrid approach, National Conference on Computational Control systems and Optimization, Dr.A.I.T., 12-13 May 2011.
7. Sindhu Patil R.V. and V. Udayashankara, Embedded Wireless High Data Device, National Conference on Computational Control systems and Optimization, Dr.A.I.T., 12-13 May 2011.
8. Jyothi B.and V. Udayashankara, Automated Brainstem Response Audimetry using Wavelets and Neural network, National Conference on Computational Control systems and Optimization, Dr.A.I.T., 12-13 May 2011.
9. Udayashankara and Prashanth A.Athavale, Gestational age determination by measuring biparietal diameter:an application of Hough transform, National Conference Respograf 2008, Hyderabad, 18-19 April, 2008.
10. Rajeshwari P. and V.Udayashankara, Performance enhancement of Digital hearing aid using adaptive DCT algorithm, National conference of Biomedical engineering, MIT, Manipal  (NCBME 2007), 2007
11. Ravishankar chinnur and V.Udayashankara, Automation of Nuchal  translucency thickness measurement from fetal images using canny filters, National conference on radar technology and signal processing techniques, Sri Venkateswara university, Tirupti, India, 24^th to 25^th July 2006.
12. Ravishankar chinnur and V.Udayashankara, Automation of Nuchal  translucency thickness measurement from fetal images, Pragathi –06, Hubli, 9^th 2006.
13. HN Suresh and V.Udayashankara,Anew approach to adaptive separation of background activity and transient in epileptic EEG using mathematical morphology and wavelet transforms, National Conference on Intelligent Instrumentation, DSCE & Instrument Society of India, Bangalore, Page no. 12-15, April 7-8^th
14. Sunitha and V.Udayashankara,   DFT-LMS   Speech  Enhancement  For  Sensorineural Loss Patients,  National Conference on Bioinformatics Computing, NCBC’05, March 18-19, 2005.
15. Sunitha and V.Udayashankara,  DCT-LMS   Speech  Enhancement  For   Performance Enhancement  of Hearing Aid, ,  National  conference  on Signal   processing, Communication and Control System, ( SPCCN01), July 1-6, 2005.
16. Suresh D.S. and V.Udayashankara, “Fingerprint Recognition & Matching using Minutiae technique and Artificial Neural Networks, National Conference on advances in Electronics and Telecommunication engineering, Feb 25^th –26^th , 2005.
17. HN Suresh and V.Udayashankara, “Automated analysis of K complex in EEG using Neural Networks”, National Conference on Bioinformatics computing (NCBC – 05), Patiala, Thapar Institute of Engineering and Technology, March 18^th to 19^th 2005
18. G. Hiremath and V Udayashankara, Networks of Hippocampal Interneurons: A Model for gamma and theta oscillations,  National conference on electronics circuits & communication systems, Thapar Institute of Engg. &Technology,  Patiala, 2004.
19. G. Hiremath and V Udayashankara, “Epileptical Model of Generation”, National Conference on BioInformatics, Thapar Institute of Engg. &Technology,-2004,PATIALA.
20. G. Hiremath and V Udayashankara, “Hippocampal Model for generation of GAMMA oscillations through fast GABA_A receptors”, National Conference on Biomedical Engineering-2004, VISHAKAPATNAM.
21. G. Hiremath and V Udayashankara, Chaotic Model for Inter neurons, National Conference on Intelligent Instrumentation, Dayananda Sagar College of Engineering Bangalore, India.
22. HN Suresh and V.Udayashankara , Wavelet Analysis of epileptic spikes, National Conference on Electronic Circuits and communication systems held in Patiala, Thapar Institute of Engineering and Technology, Page no. 51-53, Sep. 23^rd to 24^th
23. HN Suresh and V.Udayashankara, Processing of EEG Signal using Neural Network  based adaptive filter, National conference on Bio-Medical Engineering (NCBME 2004) Visakhapatnam Dept of Electronics and instrumentation & Electronics and Communication. Associated with BME Society of India, 48-50, December 23^rd to 25^th
24. Udayashankara and A.P.Shivaprasad, A Digital Filter bank Hearing  – Aid Design and Implementation, National Symposium on Instrumentation, Hyderabad, 1994.
25. Udayashankara, Speech Sensitive Robot, National Symposium on Instrumentation, Indian Institute of Science,Bangalore 1 – 4th, 1990.

 

Dr.  K. Shailaja

International Journals

1. Krittika I. Shirkol, Mallikarjunaswamy M. S., Nanda S., Shailaja K., Detection of Varicose Veins from Doppler Ultrasound Images using CNN,  Design Engineering, Vol.5, 2021, pp: 2912-2920.
2. Rashmi H., Mallikarjunaswamy M.S., Dinesh R., Shailaja K.,(2020) “Diagnosis of Skin Pathologies using Image Processing Techniques” (2020), Materials Today: Proceedings, Elsevier  (ISSN: 2214-7853org/10.1016/j.matpr.2020.10.853)
3. Shailaja K, Shrynik Jain M B and Priyadarshini K, (2018)  “A 3-lead ECG device using platinum coated titanium electrode for clinical diagnosis: a comprehensive approach”, Journal of Instrument Society of India, Vol. 48, No.1.
4. Pavana S, Shailaja K, “Diabetes Mellitus Detection Based On Facial Texture Feature using the GLCM”, International Research Journal of Engineering and Technology, Vol. 4, No.6, June 2017, pp 921-924.
5. Mohammed Ammar Khateeb& Shailaja K, “Automatic detection of  blood vessels in retinal images using Kirsch’s templates and region growing”, International journal for scientific research and development, Volume 3, July 2015.
6. Shashidhara& Shailaja K, “Biometric Authentication System based on hand vein patterns”, International journal for scientific research and development, Volume 3, July 2015.
7. Lokesh B, Shailaja K & Nanda S, “Segmentation and Classification of Breast Lesions in Ultrasound Images”, International Journal of Scientific & Technology Research, Volume 3, Issue 06, June 2014.
8. Nagarjuna M C, Shailaja K, “Three-Dimensional Modeling for Heat Transfer in the Human Brain, While Subjected to Mobile Phone Radiation”,  International Journal of Research in Engineering & Advanced Technology, Volume 2 , Issue 3, June-July 2014.
9. Shailaja, K &Umamaheswari B, “Control of transformerless uninterrupted power supply for Unity Power factor and sinusoidal inductor currents”, journal of theoretical and applied information technology” Vol.58, No.3, December 2013.
10. Shailaja K &Umamaheswari B, “Control of transformerless inverters supplying linear and non-linear loads”, International Journal of electrical engineering, Vol.6, No.3, June 2013.

International Conferences

1. Reeha K.R., Shailaja K.,“Undecimated Complex Wavelet Transform base                    Bleeding Detection for Endoscopic Images” ,Second International Conference on           Cognitive Computing and Information Processing (CCIP), SJCE, 2016.
2. Vamshadeepa , Shailaja K and Nanda S , “Texture Features for Classification of Liver Ultrasonic Images”, International conference on “Current Trends in Engineering and Management ” at Vidyavardhaka College of Engineering, Mysore on 12^th and 14^th July 2012.
3. Shailaja K, Balaji B, Umamaheswari B, “ Variable gain hysteresis Controller for tight voltage regulation and unity power factor control of  a Half Bridge rectifier for wide variation of the input and output voltage” 6^th international conference on trends industrial measurements and automation ( TIMA-2009), Madras Institute of Technology, Anna University, Chennai, January 4^th -6^th

National Conferences

1. Shailaja K, Shrynik Jain M B and Priyadarshini K R, “A 3-Lead ECG Device Using Platinum Coated Titanium Electrode for Clinical Diagnosis:A Comprehensive Approach”, national symposium on Instrumentation, SJCE, Mysuru, 13th – 14th July 2018.
2. Shailaja K, Shrynik Jain M B and Priyadarshini K R, “ Design and Development of Compact 3-Lead ECG Device Using Platinum Coated Titanium Electrode with Reduced Motion Artifacts for Clinical Diagnosis:A Comprehensive Approach”, national conference on Technology innovation, Dr.AIT, Bengaluru, 6^th – 7^th June 2018.
3. Ammar and Shailaja K “Automatic detection of retinal blood vessels using edge operators”,  national conference on control system and optimisation (CCSO 2015), Dr.AIT, Bengaluru, 23^rd to 24^th April 2015.
4. Shashidhara and Shailaja K “Hand ‘dorsal-vein’ pattern recognition system”, national conference on control system and optimisation (CCSO 2015)”, Dr.AIT, Bengaluru, 23^rd to 24^th April 2015.
5. Ms SherinJaji M, Ms. K. Shailaj “Brain Tumor Segmentation using Fuzzy Clustering”, National conference on Computational Control Systems and Optimization -2013. ISBN 978-93-82338-56-7.Volume 1.May 2013.
6. Harini P and Ms. Shailaja K, “Automated Brain Tumor Segmentation using Fast Implementation of Level Set Method”, National Conference on Computational Control Systems and Optimization, Isbn: 978 – 93 – 82338 – 56 – 7, Vol 2, May 2013.
7. Prathima, Shailaja K and Nanda S, “An Automatic Approach for Segmentation of Ultrasonic Liver Images”, National conference on “Communication and Soft Computing” at KSIT, Bangalore on 9^th August 2012.
8. Shailaja K &Umamaheswari B, “Control of transformerless rectifiers with automatic adjustment of loop gain” in National conference on computational control system and optimization, at Dr. AIT Bangalore May 12^th – 13^th
9. Karthik M C & Shailaja K  “ Hepatic Tumour detection using ultrasound Imaging and FEA” in National conference on computational control system and optimization, Dr. AIT Bangalore May 12^th – 13^th
10. Shailaja K, Manikandan P &Umamaheswari B, “Modelling and control of transformerless single phase photovoltaic inverter” NCIS -2010, Manipal centre for information science, Manipal University, 2010.

 

Dr. K. Umarani

Journal Publications

1. Nalini T S, Anusha M U, Dr. K Uma rani,(2020) “Parkinson’s Disease Detection using SPECT Images and Artificial Neural Network for Classification”, International Journal of Engineering research and Technology(IJERT), Volume 8, Issue 11, Special issue
2. Uma Rani K., Mallikarjun S. Holi, “Wavelet transform features to hybrid classifier for detection of neurological disordered voices”, Journal of clinical engineering, pp.89-98, vol.42, no.2, April/June 2017.
3. Kiran K and Uma Rani K , “Analysis of EMG signal to evaluate muscle strength and classification”, International research journal of engineering and technology, pp.177-182, vol.4, no.7, July 2017.
4. Mukambika P S and Uma Rani K, “Segmentation and classification of MRI brain tumor”, International research journal of engineering and technology, pp.683-688, vol.4, no.7, July 2017.
5. Neeha Fathima and K Uma Rani, “Reduction of noise in EEG signal using Faraday’s cage and wavelet transform: A comparative study”, International journal of engineering science and computing, pp. 8566-8569 vol.6, no. 7, July 2016. Impact factor -5.611
6. Uma Rani. K and Mallikarjun S Holi “A hybrid model for neurological disordered voice classification using time and frequency domain features” Artificial Intelligence Research  pp.87-94, vol. 5, no. 1, Nov. 2016. (DOI: 10.5430/air.v5n1p87) Impact factor -1.691
7. Uma Rani K., Mallikarjun S. Holi. “Neurological Disorder Detection Using Acoustic Features and SVM Classifier”, American Journal of Biomedical Science and Engineering. pp. 71-81, vol. 1, no. 5, Sep. 2015
8. Asharani Neelakanth and Umarani K, “Acoustic Analysis of Nasal and Oral Speech of Normal versus Cleft Lip and Palate” International Journal for Scientific Research & Development, pp. 327-331vol. 3, no. 5, May 2015 (ISSN (online): 2321-0613)Impact factor-4.396
9. Uma Rani and Mallikarjun S Holi, “GMM Classifier for Identification of Neurological Disordered Voices Using MFCC Features”, IOSR Journal of VLSI and Signal Processing, pp. 44 -51,vol. 5, no.2, March-April 2015. (ISSN: 2319 – 4197) Impact factor- 2.82
10. Uma Rani and Mallikarjun S Holi, “A Comparative Study of Neural Networks and Support Vector Machines for Neurological Disordered Voice Classification”International Journal of Engineering Research & Technology (IJERT) pp.652-658, vol.3, no.4, April 2014. (ISSN: 2278-0181) Impact factor-2.85
11. Vikram C.M and Uma Rani K, “Pathological Voices Analysis to Detect Neurological Disorders Using MFCC and SVM”, International Journal of Advanced Electrical and Electronics Engineering, vol. 1, no.3, pp.39-43, 2012. (ISSN : 2278-8948).

 

Conference Publications

1. Nalini T S, Anusha M U, Uma rani K, (2020)  “Classification and Early Detection of Parkinson’s Disease using SPECT Image and ANN ”, 2nd International Conference on Adaptive Computational Intelligence ICACI 2020, organized by IQAC by GSSS Institute of Engineering and Technology for Women, Mysuru, In technical collaboration with Springer and University of Sannio Benevento, Italy..
2. Nalini T S, Anusha M U, Uma rani K,(2020) “Parkinson’s Disease Detection using SPECT Images and Artificial Neural Network for Classification”, 2nd IETE National Level conference (Student Technical Paper Contest), organized by IETE Mysuru centre.
3. Seema Firdos and K Uma Rani,” Disordered voice classification using SVM and feature selection using GA”, Proceedings of IEEE 2nd International conference on cognitive computing and information processing, Mysuru, 12th- 13th August 2016.
4. Pannaga P. Kowshik and K. Uma Rani,  “Ventricular Arrhythmia Classification By Neural Network Classifier Using Wavelet Transform Features”, Proceedings of Asian Society for Academic Research (ASAR) International Conference, 14th May-2014, Mysore, India pp. 12-16. ( SBN: 978-93-84209-17-9).
5. Vikram C.M and Uma Rani K, “Phoneme Independent Pathological Voice Detection Using Wavelet Based MFCCs,GMM-SVM Hybrid Classifier”, IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI), Mysore ,22nd-25th August, 2013, pp. 929-934.
6. Sunitha S.V and K.Uma Rani, “Nonlinear Dynamic Measures and SVM approach based on Pathological Voice Recognition”, International conference on Electronics and Communication Engineering, Bangalore, 24th April 2013, pp. 81-85.
7. Vikram C.M and Uma Rani K, “Text Independent Classification of Normal and Pathological Voices Using MFCCs and GMM-UBM”, IEEE International Conference on Information and Communication Technologies (ICT 2013),Kanyakumari,11th &12th April, 2013, pp.980-985.
8. Vikram C.M and Uma Rani K, “Pathological Voices Analysis to Detect Neurological Disorders Using MFCC and SVM”, International Conference on Advance engineering and Technology (ICAET) , Mysore, India, 27 January 2013, pp.52-56.
9. Uma Rani K and Mallikarjun S. Holi, “Automatic Detection of Neurological Disordered Voices UsingMel Cepstral Coefficients and Neural Networks” IEEE-EMBS Special Topic Conference on Point-Of-Care (POC) Healthcare Technologies, Bangalore, India, January 16-18, 2013, pp.76-79. Impact factor – 0.175
10. Uma Rani K and Mallikarjun S. Holi, “Analysis of Speech Characteristics of Neurological Diseases and their Classification”, 3rd International Conference on Computing, Communication and Networking Technologies (ICCCNT 2012), Coimbatore, India, 26-28 July 2012.
11. Uma Rani and M.Sukumar,”Classification of Otoacoustic Emission Signals using Wavelet Transform”, in proceedings 10th International Conference on Biomedical Engineering, Dec. 6-9, 2000, Singapore, pp. 229-230.
12. Yashwanth T and K.Uma Rani, “Identification And Classification Of Pathological Voice Using Support Vector Machine”, National conference on Recent advances in computing, information, communication and  applications, 23rd May 2015,GSSSIETW, Mysore, pp. 76-78.
13. K and Uma Rani K, “ Voice Disorder Detection Using ANN and GMM”, National conference on Communication & Soft Computing, on 9th August 2012, K S Institute of Technology, Bangalore,pp.131-134.
14. Harini B, Uma Rani.K, “Screening of Sleep Apnea by HRV Analysis ”, 4th National conference on Digital Convergence from 16-17th April, 2011,RMK Engg. College, Tamilnadu India, pp.513-516.
15. Malavika K Murth, Uma Rani.K, “Analysis of Voice Signals Using Wavelet Transforms”, 4th National conference on Digital Convergence from16-17th April, 2011,RMKEngg. College, TamilnaduIndia,pp.454-457.
16. S and K.Umarani “IRIS Person identification Technique using Human Recognition” National conference on Radar Technology and signal processing techniques from 24th to 25th July 2006, SVU college of Engineering Sri Venkateswara University Tirupati,pp.18-23.
17. Sumathy and K.Umarani, M.S. Thakur, “ Microcontroller based automatic Biosensor system” National conference on modern trade in electrical and instrumentation systems from 9th to 10th  March 2005 Coimbatore,pp.649-654.
18. Sanjeev kubakaddi and K.Umarani “ Image compression using wavelets” Proceedings of 2nd National conference on mathematical and computation modules2003,   Belgaum.

 

Dr.Mallikarjunaswamy  M. S.

International Journals

1. Mallikarjunaswamy M. S., Mallikarjun S Holi, Rajesh Raman and SujanaTheja J S. ‘Visualization of Meniscus from Knee Joint MRI and Assessment of its Size Differences due to Age, Gender and BMI’, International Journal of Bioinformatics  Research and Applications, Vol.17(3), 2021, pp:275-287. DOI: 1504/IJBRA.2021.117171
2. Krittika I. Shirkol, Mallikarjunaswamy M. S., Nanda S., Shailaja K., Detection of Varicose Veins from Doppler Ultrasound Images using CNN,  Design Engineering, Vol.5, 2021, pp: 2912-2920.
3. Mahesh Kumar A. S., Mallikarjunaswamy M S, Chandrashekara S, (2020)  Imaging Modalities and Parameters in Diagnosis of Rheumatoid Arthritis, International Journal of Grid and Distributed Computing, Vol. 13(2), pp: 1082 – 1089.
4. Praveen, Mallikarjunaswamy M.S., ChandrashekharaS.,(2020) Quantification of Intervertebral Space of Lumbar Spine in Lower Back Pain Affected People,  International Journal of Future Generation Communication and Networking, Vol. 13(4),  pp. 2409–2414.
5. Mahesh Kumar A S, Mallikarjunaswamy M S, ChandrashekaraS,(2020) “Detection of Rheumatoid Arthritis using Image Processing Techniques”, International Journal of Psychosocial Rehabilitation, Vol. 24(2), pp. 4714-4724 (DOI: 10. 37200 /IJPR /V24I2 /PR2020910).
6. Rashmi H., Mallikarjunaswamy M.S., Dinesh R., Shailaja K.,(2020) “Diagnosis of Skin Pathologies using Image Processing Techniques” (2020), Materials Today: Proceedings, Elsevier  (org/10.1016/j.matpr.2020.10.853)
7. Mallikarjunaswamy M. S., Bhanu H.S., (2019 ) “Development of 3D Model of Tibia Femoral Bone in Knee Joint for FEA”, Indian Journal of Public Health Research & Development, Vol.10(5),  pp:916-920 (DOI:10.5958/0976-5506.2019.01196.3).
8. Mallikarjunaswamy M. S.,  Mallikarjun S Holi, Rajesh Raman and SujanaTheja J S. (2019) ‘Visualization of Cartilage from Knee Joint MRI and Quantitative Assessment to Study the Effect of Age, Gender and BMI in Progressive OA’, Current Medical Imaging. Vol.15(6),  pp:565-572( DOI:2174/1573405614666181018123251)
9. Mallikarjunaswamy M.S. and Mallikarjun S.Holi, and Rajesh Raman, ‘Knee joint menisci segmentation, visualization and quantification using seeded region growing algorithm’, Journal of Medical Imaging and Health Informatics, Vol. 5(3), June 2015, pp.552-560
10. Sajeer M., Mallikarjunaswamy M.S., ‘Segmentation, Diagnosis and Analysis of Inter-vertebral using Lumbar Spine MRI’, International Journal of Applied Engineering Research, Vol. 10(44), pp.30631-30636, 2015
11. Usha D., Mallikarjunaswamy M.S., ‘Detection of Malaria Based on the Blood Smear Images Using Image Processing Techniques’, International Journal of Engineering Research &Technology,  Vol.5 (21), May 2017, pp.94-97
12. Kalyani C S, MallikarjunaSwamy M S, ‘Segmentation of Rectum from CT Images for the Radiation Treatment Planning of Prostate Cancer’, International Journal of Engineering Research in Electronic and Communication Engineering, Vol. 3(5), May 2016, pp. 149-152
13. Piyush Kaushik A, Rohit Ramesh Muttur, Aparnnaa, M.S. Mallikarjunaswamy,  ‘Crash Alerting and Data Logging System for Remote Monitoring of Automobiles’, vol. 5(6), International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, June2016, pp.5530-5535, ( DOI: 10.15662/ IJAREEIE. 2016. 0506101)
14. Abhiram M.V., Jayanth Kumar H.S., Krishna Prasad M.J., M.S. Mallikarjunaswamy, ‘A Wireless Implementation of a Prosthetic Animatronic Hand’, vol. 5(6), International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, June 2016,  pp.6622-6626, DOI:10.15662/IJAREEIE.2016.0508004)
15. Anu T.C., Mallikarjunaswamy M.S. and Rajesh Raman, ‘Detection of Bone Fracture using Image Processing Methods’, International Journal of Computer Applications, Vol.3, pp. 6-9, December 2015
16. Shivani V Devoor, Syed Sha Qutub and Mallikarjunaswamy M.S., ‘Design of Sensor Network for Home Automation System’, International Journal of Engineering and Innovative Technology (IJEIT), Vol. 5(3), pp. 94-98, Sept. 2015
17. Adarsh S P and Mallikarjunaswamy M.S., ‘Design of Intelligent Sensor Network for Automation of Utilities in Public Areas’, International Journal of Engineering and Innovative Technology (IJEIT), Vol. 5(3), pp. 128-133, Sept. 2015,
18. KhateejaAmbareen,  M. S. Mallikarjuna Swamy, and Dr. Rajesh Raman, ‘Astrocytoma Type of Brain Tumor Classification using Artificial Neural Network’, International Journal of Electronics Communication and Computer Engineering, Vol. 5(2), pp.421-425, 2014
19. Nandini M.N. and M.S.Mallikarjunaswamy, ‘Detection of Melanoma Skin Disease using Dermoscopy Images’, International Journal of Electronics Communication and Computer Technology, Vol. 4 (3), pp.643-647, 2014
20. Tejaswini H.V. and M.S.Mallikarjuna Swamy, ‘Determination and Classification of Blood Types using Image Processing Techniques’, ITSI Transactions on Electrical and Electronics Engineering (ITSI-TEEE), Vol. 2(2), pp.29-33, 2014
21. Rachna H. B., M.S.Mallikarjuna Swamy, ‘Detection of Tuberculosis Bacilli using Image Processing Techniques’, International Journal of Soft Computing and Engineering (IJSCE), Vol.3(4), pp. 47-51, Sept. 2013
22. Lavanya K., M.S.MallikarjunaSwamy, ‘Segmentation of Lungs, Fissures, Lobes from Chest CT Images and Analysis’, International Journal of Electronics Communication and Computer Technology, vol. 2(5), pp.208-212, Sep-2012
23. Mallikarjunaswamy M.S. and Mallikarjun S.Holi, ‘Knee joint articular cartilage segmentation using radial search method, visualization and quantification’, International Journal of Biometrics and Bioinformatics, Vol.7(1), June 2013, pp.1-12,
24. Mallikarjunaswamy M.S. and Mallikarjun S. Holi, ‘Knee joint articular cartilage segmentation, visualization and quantification using image processing techniques: A Review’, International Journal of Computer Applications, Vol. 42(19), March 2012, pp. 36-43

 

Book Chapter/Springer Proceedings

1. Praveen, Mallikarjunaswamy M.S., Chandrashekhara S., Influence of Aging and High BMI on Lower Back Pain, Machines Mechanisms and Robotics, Lecture Notes in Mechanical Engineering(LNME), Springer Singapore 2021, pp. 27-31(DOI 978-981-16-0550-5_4)
2. Mahesh Kumar A. S., Mallikarjunaswamy M S, Chandrashekara S, Detection of Rheumatoid Arthritis Using a Convolutional Neural Network, Advances in Intelligent Systems and  Computing, Vol. 1387, Springer Singapore 2021, pp.607-618 (DOI 978-981-16-2594-7_50)
3. Mallikarjunaswamy M. S.,  Mallikarjun S Holi, Rajesh Raman and SujanaTheja J S, (2020)  “Accurate Techniques of Thickness and Volume Measurement of Cartilage from Knee Joint MRI using Semiautomatic Segmentation Methods”, Advances in Computational Vision and Bio Inspired Computing, Springer International, pp.1017-1025(DOI: 1007/978-3-030-41862-5_103)
4. Mallikarjunaswamy M. S.,  Rajesh Raman,  Mallikarjun S. Holi and SujanaTheja J. S. (2018) “Detection of MenisciTears in Sports Injured and Pathological Knee Joint using Image Processing Techniques”, Computational Vision and Bio Inspired Computing: Springer LN Computational Vision and Biomechanics, Vol.28,  pp.528-541 (ISSN: 2212-9391, DOI:10.1007/978-3-319-71767-8)
5. Sajeer M., Mallikarjunaswamy M.S. ‘Statistical analysis of low back pain—A real global burden’, Advances in Intelligent Systems and Computing, Vol. 397, Springer LNEE, 2016, pp. 117-124(DOI: 10.1007/978-81-322-2671-0_11)
6. Mallikarjunaswamy M.S. and Mallikarjun S. Holi, and Rajesh Raman, ‘Quantification and 3D visualization of articular cartilage of knee joint using image processing techniques’, Computational Intelligence in Data Mining, Smart Innovation, Systems and Technologies, Springer LNEE, Vol. 32, Dec 2014, pp.417-425(ISSN: 978-81-322-2207-1, DOI 10.1007/978-81-322-2208-8_38)
7. Mallikarjunaswamy M.S. and Mallikarjun S. Holi, ‘Segmentation, visualization and quantification of knee joint articular cartilage using MR Images’, Multimedia Processing, Communication and Computing Applications, Springer LNEE 213, June 2013, pp. 321-332, (ISSN: 1876-1119 DOI:10.1007/978-81-322-1143-3_26)

 

Book and Course Material

1. Dr. V. Udayashankara and Mallikarjunaswamy M.S.,  8051 Microcontroller Hardware, Software & Applications, Tata McGraw-Hill, 2009 (ISBN-13:978-0-07-008681-4)
2. Mallikarjunaswamy M.S., Digital Signal Processing for Biomedical Applications., Center for National Academic Network for Continuing Education (CNANCE), AICTE, New Delhi, 2002

International Conference

1. Aswani V. R., Bharath Kumar K. S., Mallikarjunaswamy M. S., Poornalakshmi Devi and Prajna   Bhat,Smart Monitoring System for COVID-19, Proc. 4^th International conference on VLSI, Communication and Signal Processing(Springer), 24-26 September, MNIT, Allahabad, Prayagraj
2. Mallikarjunaswamy M.S., Ranjana K.R., P. Praveen, Chandrashekara S., Extraction of Features in Abnormal Human Gait using Image Processing Techniques, Proc. of International Conference on Emerging Trends in Engineering and Technology 2021(ICETET21), at Laxmi Institute of Technology, Sarigam, Gujarat, 25^th March 2021(awarded as Best Paper-1)
3. Kalyani C S, Mallikarjunaswamy M S, ‘Segmentation of Rectum from CT Images Using K-Means clustering for the EBRT of Prostate Cancer’, Proc. of International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT), IEEE, Dec 2016, pp. 34-39(DOI: 1109/ICEECCOT.2016.7955181)
4. Janardhan M ,Mallikarjunaswamy M S, ‘Development of robotic arm to assist differently abled and elderly people’, Proc. of International Conference on Signal processing , Communication and computational Research (ICSPCCR-16), Mysuru, 18-19 May 2016
5. Jeevitha U.  M.S.MallikarjunaSwamy, and Dr. Rajesh Raman “Segmentation of Kidney Organs from Abdominal Computed Tomography (CT) Images”, Proc. 2^nd International Conference on current Trends in Engineering and Management (ICCTEM-2014), pp.1220-1225, 17-19^th July, 2014.
6. Tejaswini H.V. and M.S.MallikarjunaSwamy, “Determination and Classification of Blood Types using Image Processing Techniques”, Proc. International Conference on Engineering and Applied Science (ICEAS2014), pp.89-92, Bangalore, India, 13^th July, 2014(ISBN: 978-3-643-24819-09).
7. Nandini M.N., M.S.Mallikarjunaswamy, “Detection of Melanoma Skin Disease using Image Processing Techniques”, Proc. of International Conference on Current Trends in Engineering and Management (ICCTEM 2012), VVCE, Mysore, 12-14 July 2012, pp. 108-113
8. Mallikarjunaswamy M.S. and M.S.Holi, ‘Knee joint menisci visualization and detection of tears’, Proc. IEEE International Conference on Computing, Communications and Applications (ICCCA-2012), Dindigul, Tamil Nadu, India, Feb. 22-24, 2012, pp.1-5 (DOI:1109/ICCCA.2012.6179203)
9. Mallikarjunaswamy M.S. and M.S.Holi, ‘Knee joint cartilage visualization and quantification in normal and osteoarthritis’, Proc. of IEEE International Conference on Systems in Medicine and Biology (ICSMB-2010), Dec.16-18, 2010, IIT Kharagpur, India, pp.148-152, DOI:1109/ICSMB.2010.5735360)
10. Ummu Salma K, Girish Krishnamurthy, Mallikarjunaswamy M.S., Implementation of a Standard Wireless Technology for Patient Monitoring System Using Bluetooth, Proc. International Conference on Sensors and Related Networks (SENNET09), VIT University,Vellore, India, Dec. 08-10, 2009, pp. 529-532
11. Mallikarjunaswamy M.S., Umalaksmi A., Sandya Rao, M.S.Holi, Erythrocyte Shape Investigation and Analysis using Image processing Technique’, Proc. IEEE International Conference on Modeling and Simulation (MS-07), University of Calcutta, Kolkata, India, 3-5 Dec 2007, pp.187-191.
12. Mallikarjunaswamy M.S., Ashok Rao and D.V. Poornaiah, Systolic Array based VLSI Architecture for Motion Estimation in Video Compression Applications, Proc. IEEE International Conference on Progress in VLSI Design and Test (VDAT-2004), Infosys Learning Institute, Mysore, India, August 26-28, 2004, pp. 194-202(ISBN: 81-88901-10-5)

 

National Conference

1. Rachana H.B and M.S.MallikarjunaSwamy, ‘Automatic Segmentation Technique of Tuberculosis Bacilli in Ziehl-Neelsen- Stained Tissue Image’, Proc.2^nd National Conference on Computational Control System and Optimization(CCSO2013), Vol. 2, pp.5-7, Dr. AIT, Banglore, India, 10^th -11^th May 2013,(ISBN 978-93-82338-63-5)
2. KhateejaAmbareen and M.S.Mallikarjuna Swamy, “Astrocytoma type of brain tumor classification using artificial neural network”, Proc.2^nd National Conference on Computational Control System and Optimization(CCSO2013), Vol. 2, pp.47-50, Dr. AIT., Bangalore, India, 10^th -11^th May 2013, (ISBN 978-93-82338-63-5)
3. Sham P. Sutrave, Mallikarjunaswamy M.S., Lohit Kumar, Manjunath M., ‘Development of Cost Effective Baby Incubator for Rural Health Care’, Proc. Indian conference on Medical Informatics and Telemedicine (ICMIT 2006), IIT Kharagpur, Dec 18-20, 2006, pp. 8-11, (ISBN 10:0230-63018-9)
4. Naveen Menon, Mallikarjunaswamy M.S., M.S.Holi, ‘Design and Development of Autonomous Robotic Vehicle with on Board Data Acquisition System’, Proc. National Conference on Intelligent Communication and Automation(NCICCA-2005), Anand Nagar, Krishnankoil, India, April 1-2, 2005, pp. 56-59.
5. Mallikarjunaswamy M.S., SiddeshPujar, K.R. Sowmya, Acquisition, Transmission and Display of Heart Beats through Telephone‟, Proc. National Conference on Trends in Instrumentation and Control Engineering (TICE-2004), Thapar University, Patiala, Punjab, 5-6 Feb. 2004, pp. 372-377.
6. Mallikarjunaswamy M.S., G.M.Gurumurthy, V.S. Leena, R.K.Roopa and M.S.Holi, ‘Quantitative Assessment of Hand Strength in Normal and Diseased Subjects by Power Spectrum Analysis of EMG signals’, Proc. 24th Annual Conference of Indian Association of Biomedical Scientists(IABMS) Radiotracers in Drug Development”, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, Delhi, 1-4 Nov 2003, pp. 61.

 

Dr. Nanda S.

International Journals

1. Renuka Hiremath, Saurav Pratap Singh, Nanda S, (2020)  “Real-Time Implementation of Signal Processing Techniques for Human Physical Activity Monitoring”, DogoRangsang Research Journal, Vol-10, Issue-08, pp 17-21, August 2020.
2. Nanda S, Sukumar M, “Thyroid Nodule Classification using Steerable Pyramid based Features from Ultrasound Images”, Journal of Clinical Engineering”, Vol 43, No. 4, Oct 2018, pp. 149-158, ISSN : 0363-8855.
3. Nanda S , Sukumar M, “Analysis of the Performance of Classifiers on Wavelet Features with PCA and GA for the Detection of Breast Cancer in Ultrasound Images”, IOSR Journal of VLSI and Signal Processing, Vol. 8, Issue 1, 2018, pp. 16-24.
4. Nanda S , Sukumar M, “Identification of Thyroid Cancerous Nodule using Local Binary Pattern Variants in Ultrasound Images”,  International Journal of Engineering Trends and Technology (IJETT), Vol. 49, Issue 6, pp 363-368, July 2017. ISSN: 2231-5381.
5. Nanda S, Sukumar M, “ Detection and Classification of Thyroid Nodule using Shearlet Coefficients and Support Vector Machine”, International Journal of Engineering and Technology, Science Publishing Corporation, Vol. 6, Issue 3, pp 50-53, March 2017.
6. Ramya S, Nanda S, “ Breast Cancer Detection and Classification Using Ultrasound and Ultrasound Elastography Images”,  International Research Journal of Engineering and Technology, Vol. 4, Issue 7, pp 596 – 601, July 2017.
7. Swathi H K, Nanda S, “Detection of Lung Nodules from CT Images using Image Processing Techniques”, International Conference on Signal, Image Processing, Communication and Automation – ICSIPCA – 2017 at Bengaluru, on 6th and 7th July 2017, Grenze International Journal of Engineering and Technology (GIJET), ISSN (Online): 2395-5295.
8. Shruthi C V, Nanda S, “Classification of Thyroid Nodules in Ultrasound Images Based On Texture Analysis”,  International Journal of Engineering Research in Electronic and Communication Engineering (IJERECE), Vol 3, Issue 5, May 2016 , pp 52-56.
9. Gayana H B, Nanda S, Rajesh Raman, “ Classification of Thyroid Nodules in Ultrasound Images using kNN and Decision Tree”, International Research Journal of Engineering and Technology, Vol.2, Issue 5, Aug-2015, e-ISSN: 2395 -0056, pp 125-129.
10. Lokesh B, Shailaja K, Nanda S, “Segmentation and Classification of Breast Lesions in Ultrasound Images”, International Journal of Scientific & Technology Research, Vol. 3, Issue 06, June 2014, pp. 238-242.
11. Maitri R Bhat, Nanda S , “Cyst Segmentation in Texture Feature Space in Ultrasound Breast Images”, International Journal of Research in Advent Technology, Vol. 2, No. 6, June 2014,E-ISSN: 2321-9637, pp 200-204.
12. Gireesha H M, Nanda S,  “Thyroid Nodule segmentation and Classification in Ultrasound Images” in the International Journal of Engineering Research & Technology,  Vol. 3, Issue 5, May 2014, pp 2252-2256.

 

International Conferences

1. Shruthi C V, Nanda S, “Classification of Thyroid Nodules in Ultrasound images based on Texture Analysis”, International conference on Signal Processing, Communication and Computational Research  ICSPCCR-16, at VVIET, Mysuru on 18th and 19th May 2016.
2. Manjunath Gudur, Nanda S, “Automatic Retinal Vessel Segmentation using Modified Local Entropy Thresholding Algorithm”, International conference on “Electronics and Communication Engineering” at Bengaluru  on 28th April  2013.
3. Vamshadeepa , Shailaja K, Nanda S , “Texture Features for Classification of Liver Ultrasonic Images”, International conference on “Current Trends in Engineering and Management ” at Vidyavardhaka College of Engineering, Mysore on 12th and 14th July 2012.
4. AbhijithBailur, Nanda S,  “Metric Parameterization of Ultrasound Liver Image by Textural Characteristics”, International conference on “Current Trends in Engineering and Management ” at Vidyavardhaka College of Engineering, Mysore on 12th and 14th July 2012.

 

National Conferences

1. Gayana H B, Nanda S, Rajesh Raman, “ Characterization and Classification of Thyroid Nodules in Ultrasound Images”, 3rd National conference on Computational Control Systems and Optimization- CCSO 2015 at Dr. AIT, Bengaluru on 23rd  and 24th April 2015.
2. Sowmya C G, Nanda S, Rajesh Raman,  “Mass Detection and Classification in Breast Ultrasound Images using SVM and KNN Classifiers” , 3rd National conference on Computational Control Systems and Optimization- CCSO 2015 at Dr. AIT, Bengaluru on 23rd  and 24th April 2015.
3. Roopa,  Nanda S, “Statistical Analysis and Classification of Nonalcoholic Fatty Liver”, National conference on “Advances in Signal Processing,  Communications and Networking”  at Bangalore on 29th and 30th August 2013.
4. Prathima, Shailaja K, Nanda S , “An Automatic Approach for Segmentation of Ultrasonic Liver Images”, National conference on “Communication and Soft Computing” at KSIT, Bangalore on 9th August 2012.
5. Pooja Anand, Nanda S , “Quantitative Evaluation of Non Alcoholic Fatty Liver”, National conference on “Signal Processing and Communication” at R.V.College of Engineering, Bangalore on 17th and 18th May 2012.
6. Chitra, Nanda S,  “Classification and analysis of Malaria parasite species”, National conference on “Computational Control systems and Optimization” at Dr. AIT, Bangalore on 12th and 13th May 2011.
7. Md. MutheebParveez, Nanda.S, “Braille transcription from optically recognized Latin Script”, National Conference on “Document Analysis and Recognition” at Mysore, December 2005.
8. Kishore Kumar, Nanda.S, “Low cost Electroglottograph system design, signal acquisition and analysis for clinical Instrumentation”, National Conference on “Modern Trends in Electronic and Instrumentation Systems” held at Government College of Technology, Coimbatore on 9th and 10th March 2003.
9. Nanda.S, Narasimha Kaulgud, “Wavelet based Video Frame Interpolation”, National conference on Document analysis and Image Recognition at PESCE, Mandya , August 2001.

 

Mrs. Rajeswari P.

Journal Publications

1. Anusha S and P.Rajeswari (2019)  “EEG-Based Mental Fatigue Detection using Threshold Based       Classification” ‘International Journal of Recent Technology and Engineering (IJRTE)’  Volume-8 Issue-2, ISSN 2277-3878.
2. Krutika R and P.Rajeswari (2018) “Speech reconstruction using machine learning approach for speech impaired persons”, International Journal of Advance research ideas and innovation in technology(IJARIIT)Vol.4, Issue 4, pp 513-518.
3. Syeda Adiba Rehman and P.Rajeswari “P wave related disease detection using DWT” IOSR Journal of VLSI and signal processing, Vol.7, Issue 3 Ver. I pp14-18.May –June 2017.
4. Syeda Adiba Rehman and P.Rajeswari “P wave Estimation using DWT” , IJIAREC, Vol. 5, Issue-2, pp:2299-3303 May-2017.
5. Nagabhushana  R M and Rajeswari. P, “Geometrical analysis of leucocyte nucleus to detect lymphoblast from microscopic blood images’ ‘ , International journal of technology and engineering science(IJTES), vol 2(6), pp 1947-1951  June 2014.

 

Conference Publications

1.Rajeswari p and Sandeep kumbar and team presented a paper on “Smart health care monitoring system using IOT” in the national conference “MY

NUTRICORN-2022”organised by JSSAHER,Mysore

2. Rajeswari P and Dr Shankaraiah  N presented a paper on”Dysphonic speech reconstruction using machine learning approach”6th international conference on computing, communication, control and automation(ICCUBEA-2022) Pimpri chinchwad College of Engineering,Pune,26-27th  Aug 2022.
3. Shrilakshmi P and Rajeswari P presented a paper on “Cuffless, Non-Invasive Blood Pressure Monitoring Using ECG And PPG” in the first internal conference on social work,science and technology(ICSST- online)organized by shrimathidevkunvarNanalalbhattvaishnav college for women , Chennai in collaboration with global conference hub, Coimbatore on 29 and 30^thJuly 2021.
4. Syeda Adiba Rehman and P.Rajeswari P “wave detection using DWT” IJERT NLPGPS-17, Vol.5, issue-21, pp76-77,  June-2017.
5. Raksha Pole and P. Rajeswari “Analysis of liver anomalies in CT image using feature extraction method GLRLM and PHOG algorithm IJERT NLPGPS-17, Vol.5, issue-21, June-2017.
6. Subhija E N and  Rajeswari.P, Detection and classification of diabetic macular edema from color retinal images using SVM”, National conference on Advancements in instrumentation, control and automation-NCAICA’14 Thangavelu Engineering College, Karapakkam, Chennai, 3 May 2014.
7. Subhija E N and Rajeswari.P,”Retrieval of color fundus images with diabetic macular edema using multiSVM and KNN Classifier” , 4th International conference on advanced computing and communication technologies for high performance applications,Federal institute of Technology, Cochin,19-21 June 2014.
8. Vinaykumar M C and Rajeswari P “Clinical Information of  MRI database-Case study approach for PACs framework”, International conference on information and communication Engg(ICICE-2013) in Bangalore on 25th Aug 2013.

9.Rajeswari P and V Udayashankara “performance enhancement of digital hearing aid using adaptive DCT algorithm” National conference of Biomedical engineering,MIT,manipal(NCBME-2007),2007.

 

Dr.Rathnakara S.

International Journal

1. Srinidhi H, Rathnakara.S& Janardan M “Real time Arrhythmia Analysis”, International journal of pure and applied mathematics (IJPAM), Volume 120, No 6  July-2018.pp 11657-11668. ISSN, 1314-3395 (on-line version)(Scopus Indexed)
2. Sanjana S and Rathnakara.S “Design of interface board for medical kiosk based on “off-the-shelf” platform” International Research Journal of Engineering and Technology (IRJET) Volume: 04 Issue: 07  June-2017 PP 737-741 ISSN 2395-0072
3. Rathnakara.S, V. Udayashankara,”Estimation of Noise in Nonstationary Signals Using Derivative of NLMS Algorithm”, International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.8, pp.9-16, 2017.DOI: 10.5815/ijigsp.2017.08.02 ISSN 2074-9082
4. Rathnakara.S and V. Udayashankara“ Enhancement Of Speech Signal Using Improved NLMS Algorithm”, Communication on Applied Electronics 6(9), pp-34-37, April 2017, ISSN 2394-4714, DOI 10.5120/cae201765257
5. Rathnakara.S and Dr.V.Udayashankara “Real Time System Identification for Speech Signal Implemented on TMS320C6713” IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 7, Issue 2, Ver. I (Mar. – Apr. 2017), PP 20-25 ISSN 2319-4197
6. Rathnakara.S and Dr.V.Udayashankara “System Identification in Speech Signal Using Modified Kalman Based Normalized Least Mean Square (NLMS) Algorithm”-IJARCSSE Volume 7, Issue 3, March 2017, PP180-184  ISSN 2277 128X ,DOI-10.23956/ijarcsse/V7I3/0104
7. Amulya.N  &Rathnakara.S “Medical Information Security by Steganography and Cryptography” International Journal of Engineering Science and  computing(IJESC) Vol 6, Issue 5, May 2016, ISSN 2321 3361 pp 6076-6079
8. Priyanka.M.C&Rathnakara.S“ Conversion of English text to speech with increasing intelligibility” International Journal of Engineering Science and  computing(IJESC) Vol 6, Issue 5, May 2016, ISSN 2321 3361 pp 6025-6028
9. Vijayashri B. Nagavi, Mr. Ajish K. Abraham, Dr. M. Pushpavathi   &   Mr Rathnakara S “Classification of Velopharyngeal Dysfunction in Children with Cleft Palate using Cineradiographic Images” International Journal for Scientific Research & Development|(IJSRD)  Vol. 3, Issue 04, 2015 | ISSN (online): 2321-0613, pp 3058-3061
10. Nikhil K &Rathnakara.S“ Robot for Bio-Medical applications controlled by regional language” International Journal of Electrical & Electronic Engineering & Telecommunications (IJEETC), Vol 4, No 3, July 2015 PP 16-20  ISSN 2319 – 2518
11. Nikhil K &Rathnakara.S “Speech recognition system robotics for biomedical applications controlled by regional language” International journal for scientific research & development (IJSRD) Vol 3, Issue 3, 2015 ,ISSN(online)  2321-0613 PP 2704-2706
12. Kailashnath J.K and Rathnakara.S “A Review on Improvising Robustness of Speaker Recognition System” International Journal of Computer Applications (0975 – 8887) Advanced Computing and Communication Techniques for High Performance Applications (ICACCTHPA-2014) pp 30-33
13. Shinto Sebastian &Rathnakara.S “Separation of Heart Sound Artifact from Respiratory Signals Using Singular Spectrum based Advanced Line Enhancer” International Journal on Advanced Computer Theory and Engineering (IJACTE) ISSN 2319-2526 Volume-2, Issue-4, 2013. pp 107-112.  http://www.irdindia.in/Journal_IJACTE/PDF/Vol2_Iss4/22.pdf
14. Kushal P Giri and S Rathnakara, “Face Recognition Using Appearance Based Analysis”  elixir online journal for advanced engineering informatics  ISSN 2229 -712X August 2011 pp 4530-4532.
15. Nilofar Farzana and S Rathnakara, “Detection of Microcalcifications in Mammogram images using Probabilistic Neural Network”, elixir online journal for computer science and engineering ISSN 2229 -712X August 2011 pp 4404-4408.

 

International conference

1.   Rathnakara.S, Srinidhi H, & Janardan M “An effective algorithm to differentiate NSR and Arrhythmia” International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC) 978-1-5386-8333-0/18/$31.00 ©2018 IEEE KIIT Bhubaneswar, Ohisha, India 22-24 October 2018 (Best student paper award)
2. Srinidhi H, Rathnakara.S& Janardan M “Real time Arrhythmia Analysis”, International conference on advanced trends in computer science and Information Technology (ICATCSIT), Geethanjali institute of Technology, Nellore, A.P 24th -25th August 2018. (Best paper award)
3. Srinidhi.H&Rathnakara.S (2018) “Real time multiplexed moving window baseline wander removal and arrhythmia analysis” National symposium of Instrumentation (NSI41)  By IISc Bangalore and SJCE Mysore at SJCE Mysore, Karnataka
4. Sanjana S and Rathnakara.S “Design of intermediate control and communication unit for health kiosk, International conference on signal, image processing, communication & automation (ICSIPCA-2017) 6-7 July 2017, JSS Academy of Technical Education Bengaluru GRENZE Scientific society, Grenze ID: 02.ICSIPCA.2017.1.63 PP:396-403
5. Kailashnath J.K and Rathnakara.S “Kannada speaker recognition using mel frequency cepstral coefficients (MFCC) and artificial neural network(ANN)” 2nd  international conference on current trends in engineering and management (ICCTEM2004), 17-19 July,2014,Vidyavardhaka college of engineering Mysore. PP526-530
6. Kailashnath J.K and Rathnakara.S “A Review on Improvising Robustness of SpeakerRecognition System” Fourth international conference on Advanced computing and communication technologies for high performance computing applications, Cohin, Kerala 19-21 June 2014
7. Maheshwari.B and Rathnakara.S “EEG noise cancellation and seizure detection using adaptive algorithms” 2nd  international conference on current trends in engineering and management (ICCTEM2004), 17-19 July,2014,Vidyavardhaka college of engineering Mysore. PP:522-525
8. Maheshwari.B and Rathnakara.S “Different approaches for EEG noise cancellation” Fourth international conference on Advanced computing and communication technologies for high performance computing applications, Cohin, Kerala 19-21 June 2014
9. Shinto Sebastian and Rathnakara.S “Separation and localization of heart sound artifacts from respiratory data by adaptive selection of Eigen triples in singular spectrum analysis” Fourth international conference on Computing, Communication and Networking Technologies(ICCNT), July 4-6 2013, Vivekananada college of Engineering for Women Tiruchengode 637205. ISBN:978-1-4799-3925-1 PP23-27, published by IEEE.
10. Shinto Sebastian and Rathnakara.S “Removal  Of Heart Sound Artifact During Pulmonary Auscultation Using Singular Spectrum Based Advanced Line Enhancer” 4th international conference on electrical, electronics and computer science   (ICEECS),  30th June, 2013  Pune, ISBN 978-81-31703-83-3, PP 27-31
11. Madhukara RS and Rathnakara .S” Development of Image Tools for MR Images using PACS( Picture archiving and communication systems)”  International Conference on Electronics and Communication Engineering, 28th April-2013, Bengaluru, ISBN: 978-93-83060-04-7
12. Rathnakara S and Dr.V.Udayashankara “Speech Enhancement using Normalized LMS algorithm” International conference on Communication,VLSI and Signal Processing, ICCVSP2013, SIT Tumkur 20-22nd Feb’2013.
13. SusmithaWils K and Rathnakara S “Assessment of subcutaneous Adipose tissue of the Abdomen by MRI”, IEEE 1st International conference on Signal & Image Processing, BVBCET Hubli, Page 364-368,7-9 Dec’06.

 

National Conference

1. Srinidhi.H&Rathnakara.S “Real time multiplexed moving window baseline wander removal and arrhythmia analysis” National symposium of Instrumentation (NSI41)  By IISc Bangalore and SJCE Mysore,13th -14th July 2018, SJCE Mysore
2. AnithaV.Raj,Deeksha Nayak, Rajeswari.P&Rathnakara.S,” Active Noise Reduction in audiometer”  BME Explore BIET, Davanagere, 9th April’2013
3. Chandana and Rathnakara.S “Detection of Liver injury in CT Images” B R V Vardhan’12 National conference, IEEE Bangalore section at PESCE, Mandya on 31th October 2012.
4. Srinidhi .V,Sudarshan M.S. and Rathnakara.S”Agricultural Robot”  B R V Vardhan’12 National conference, IEEE Bangalore section at PESCE, Mandya on 31th October 2012.
5. Sunil Kumar T, Jayanth Prasad D.K and Rathnakara.S ”Myoelectric Arm” B R V Vardhan’12 National conference, IEEE Bangalore section at PESCE, Mandya on 31th October 2012. (  Secured Second Prize)
6. Venu S and Rathnakara.S, ”ECG signal feature extraction using DWT and ICA for the classification of cardiac arrhythmias” National conference on communication and soft computing(NCCSC-2012) by KSIT Bangalore on 9th Aug 2012.
7. Kushal P Giri and S Rathnakara“ Face Recognition Using Appearance Based Analysis”  SOFTCOMP ‘II, VIT University, Vellore  JULY 22-23, 2011
8. Nilofar Farzana and S Rathnakara, “Detection of Microcalcifications in Mammogram images using Probabilistic Neural Network” SOFTCOMP ‘II, VIT University, Vellore  JULY 22-23, 2011
9. Rathnakara.S, Dr.V.Udayashankara “Noise Estimation for Speech Enhancement” first national conference on computation Control systems & Optimization Dr.AIT, Bangalore, 12-13 May 2011.

 

Dr. Sheela N Rao

International Journal

1. Apoorva S Kulkarni, Sheela N, (2020) “Methods to Evaluate Airway Resistance and Lung Compliance During Mechanical Ventilation: A Comparative Study” International Journal of Innovative Science and Research Technology, Vol 5, Issue 7.
2. Sheela N Rao, Basavaraj L, “Shearlet Based Feature Extraction for the Detection and Classification of Age – Related Macular Degeneration in Spectral Domain Optical Coherence Tomography Images”, Journal of Clinical Engineering, Vol 43(4), Oct 2018.
3. N., L. Basavaraj, “Analysis of Gabor Filter based Features with PCA and GA for the Detection of Drusen in Fundus Images”, Science Publishing Corporation International Journal of Engineering and Technology, 7(1), PP:115-120, Jan 2018. ISSN: 2227-524X
4. Sheela. N., L. Basavaraj “Diabetic Macular Edema Detection using Graph Theory and Retinal Layer Features”, International Journal of Engineering Trends and Technology (IJETT), V49(6),PP: 363-368 July 2017. ISSN: 2231-5381. Impact Factor – 2.88
5. Dhanushree S, Sheela N, “Processing of Retinal Images for the Detection of Vascular Diseases”, International Journal of Engineering Research & Technology (IJERT). NLPGPS-2017, Vol 5, Issue 21. ISSN: 2278-0181. PP:1-4
6. P. Danya, Sheela N, “Retinal Macular Edema Detection Using Optical Coherence Tomography Images”, International Organization of Scientific Research, IOSR Journal of VLSI and Signal Processing (IOSR-JVSP), Vol 7, Issue 2, Ver 1, Mar-Apr 2017. E-ISSN: 2319-4200. PP: 47-52. Impact Factor – 2.82
7. Harini R, Sheela N, “Automated Detection and Classification of Diabetic Retinopathy using Morphological processing and Support Vector Machine” International Journal of Engineering Research in Computer Science and Engineering (IJERCSE) Vol 3, Issue 5, 2016. ISSN (Online): 2394-2320. PP:9-13. (Presented: International Conference on Signal Processing, Communication and Computational Research (ICSPCCR-16))
8. Rachana S N and Sheela N Rao. “Detection and Classification of Age Related Macular Degeneration in Retinal Images Using Support Vector Machine Classifier” International Journal for Scientific Research and Development, Vol 3, Issue 4, 2015. ISSN(Online): 2321-0613, PP:158-161.  Impact Factor – 4.396
9. Lija George and Sheela N Rao. “Automated Detection of Glaucoma Stages Using Retinal Images” International Journal for Scientific Research and Development, Vol 3, Issue 4, 2015. ISSN(Online): 2321-0613, PP:3407-3411.   Impact Factor – 4.396
10. Sheela N Rao and Dr. L. Basavaraj. “Segmentation of Retinal Vasculature in Fundus Images – A Survey”, International Journal on Recent Trends in Engineering and Technology, Association of Computer, Electronics and Electrical Engineers.
11. Sobia Naz and Sheela N Rao. “Glaucoma Detection InColor Fundus Images Using Cup – to – Disc Ratio”, The International Journal of Engineering and Sciences (IJES), Vol – 3, Issue – 6, June 2014. Impact Factor – 0.898
12. Bhavyashree K. G. and Sheela N. Rao, “Determination And Analysis of Arthritis Using Digital Image Processing Techniques”, International Journal of Electrical, Electronics and Data Communication (IJEEDC), Vol – 2, Issue – 9, Sep 2014. Impact Factor – 0.543

 

International Conference

1. Sheela N, L.Basavaraj, “Automated Detection of Glaucoma Using Average Thicknesses of the RNFL Quadrants and ANN”, International Conference on Current Trends in Engineering, Science and Technology (ICCTEST) held at Don Bosco Institute of Technology, Bengaluru on 5th Jan 2017, Grenze International Journal of Engineering and Technology (GIJET), ISSN (Online): 2395-5295.
2. Sheela N, L.Basavaraj, “Automated Detection of AMD Using Wavelet Transform Based Features”, IEEE International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT) held at GSSSIETW, Mysuru on 9th and 10th Dec 2016,
3. Harini R, Sheela N, “Feature extraction and classification of retinal images for automated detection of Diabetic Retinopathy” IEEE Second International Conference on Cognitive Computing and Information Processing (CCIP) held at Sri Jayachamarajendra College of Engineering, Mysuru on 12th and 13th August 2016, ISBN (Electronic): 978-1-5090-1025-7, ISBN (PoD): 978-1-5090-1026-4
4. Harini R, Sheela N, “Automated Detection and Classification of Diabetic Retinopathy using Morphological processing and Support Vector Machine” International Conference on Signal Processing, Communication and Computational Research (ICSPCCR-16), and Conducted by VVIET, Mysuru and Institute for Engineering Research and Publication (IFERP), on May 12th-13th, 2016. (Published in International Journal of Engineering Research in Computer Science and Engineering (IJERCSE) Vol 3, Issue 5.)
5. Sheela N Rao and Dr. L. Basavaraj. “Comparison of Retinal Vascular Segmentation Techniques in Fundus Images”, 2nd International Conference on Current Trends in Engineering and Management (ICCTEM 2014) held at Vidyavardhaka College of Engineering, Mysore, during 17th – 19th July 2014.

 

National Conference

1. Sunil C and Sheela N Rao, “Design and Analysis Of 2D Single Axis Capacitive Comb Drive Accelerometer”, Second National Conference On Computational Control Systems And Optimization (CCSO 2013) at Dr.AIT, Bangalore, 10TH and 11TH May 2013.
2. Prasanna Kumar and Sheela N Rao, “Design and Analysis Of An Implantable Nanotube Based Sensor For Continuous Blood Pressure Monitoring”, Topical Transcend In Mechanical Technology at SJBIT, Banglore, 4th May 2013.
3. Aneesh Jain and Sheela N Rao, “Three dimensional modeling of RF ablation for Hepatocellular Carcinoma” National conference on communication and soft computing(NCCSC-2012) at KSIT Bangalore, 9th Aug 2012
4. Sangamesh Vandal and Sheela N Rao, “Design and Analysis Of 2D Single Axis Comb Drive Based Micro Accelerometer”, National conference on communication and soft computing (NCCSC-2012) at KSIT, Bangalore, 9th Aug 2012.
5. Navyashree. T. and Sheela N. Rao, “Automated Enhancement and Segmentation of Peripheral Blood Smear Images”, First National Conference on Computational Control System and Optimization CCSO-2011, Dr. AIT, Bangalore, 12 – 13 May 2011.

 

Ms. Chaya H.P.

Journals

1. Maneesh P  and Chaya H P. “Retinal blood-vessel segmentation by fcm clustering and artificial bee colony optimization” in the International journal of Electrical and Electronic Engineering and Telecommunication, Volume. 4, No. 3, July 2015.
2. Idris Nayaz Ahmed and Chaya H P.”Segmentation and Classification of Skin Cancer Image” in the International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 5, May 2014.

 

Conferences

1. Chaya H P, Shrynik Jain M B, Ranjini H D.” Android Application Based Automated Hyrax Apparatus”, National Symposium on Instrumentation(NSI 41). Conducted in association with Indian Institute of Science, Bangalore, during 13th & 14th July 2018 at SJCE, Mysuru
2. Chaya HP, Shrynik Jain MB. and Ranjini HD  “Automated Rapid Maxillary Expansion(ARME) Appliance”  in the National conference on Technology Innovation (NCTI-2018) (TEQIP-III Sponsored) at Dr AIT, Bangalore, Karnataka , on  7th  June 2018.
3. Arbaaz Zahoor and Chaya H . P, “Automatic detection and classification of stroke from brain CT images” in national conference on “Recent advances in computing, informatics, communication and applications (RACICA) at GSSS institute of engineering and technology for women, Mysuru, Karnataka on 23rd May 2015.
4. Shruthi R and Chaya.H P, “Detection of Pulmonary Lung Nodules using CT Images” in the second national conference on Computational Control Systems and Optimization-CCSO-2013 (TEQIP-II Sponsored) which was held in Dr. Ambedkar Institute of Technology, Bangalore on 10th and 11th May, 2013.
5. Anitha Chandra And  Chaya.H P. “Brain Tumor Classification Using SVM Classifier” in the second national conference on Computational Control Systems and Optimization-CCSO-2013 (TEQIP-II Sponsored) which was held in Dr. Ambedkar Institute of Technology, Bangalore on 10th and 11th May, 2013.
6. H P and Asha, “Image fusion algorithm based on Wavelet”  in the National conference on Frontiers of computer science and Technology at RRCE, Bangalore during February2012.

 

Dr. Babu K.S.

International Journals

1. Babu, K. S., SukantaSabut, and Y. B. Ravi Kumar.(2019): “Decision Trees For Segmentation And Assessment Of Wound Healing Process Of Diabetic Patients.” Biomedical Engineering: Applications, Basis and Communications 1950029
2. Babu, K. S., Subudhi, A., &Sabut, S. (2018). Segmentation of Diabetic Wound by Multidimensional Clustering for Quantitative Assessment of Healing Process. Current Medical Imaging Reviews, 14(1), 71-76.
3. K.S. Babu, SukantaSabut, Nithya D K. Efficient detection and classification of diabetic     foot ulcer tissue using PSO technique, International Journal of Engineering &Technology,      vol.7(3.12), pp. 1006 -1010, 2018

 

International Conferences

1. Babu, K. S., and N. R. Sharvani (2020)  “Breast Cancer Detection and Classification Employing Convolutional Neural Networks and Support Vector Machine for Histopathological Images.” Proceedings of International Conference on Communication, Circuits, and Systems: IC3S 2020. Springer Nature
2. Babu, K. S., Ravi, K. Y., &Sabut, S. (2017, May). An improved watershed segmentation by flooding and pruning algorithm for assessment of diabetic wound healing. In Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2017 2nd IEEE International Conference on (pp. 679-683). IEEE

 

Mrs Ashwini G

 Conferences

1. IOT Based EMG Monitoring System ,National Conference “MY NUTRICON-2022”, organized by JSS AHER, Mysuru

 

Mrs Anusha M U

Journals

1. Nalini T S, Anusha M U, Dr. K Uma rani,(2020) “Parkinson’s Disease Detection using SPECT Images and Artificial Neural Network for Classification”, International Journal of Engineering research and Technology(IJERT), Volume 8, Issue 11, Special issue

Conferences

1. Nalini T S, Anusha M U, Uma rani K, (2020)  “Classification and Early Detection of Parkinson’s Disease using SPECT Image and ANN ”, 2nd International Conference on Adaptive Computational Intelligence ICACI 2020, organized by IQAC by GSSS Institute of Engineering and Technology for Women, Mysuru, In technical collaboration with Springer and University of Sannio Benevento, Italy..
2. Nalini T S, Anusha M U, Uma rani K,(2020) “Parkinson’s Disease Detection using SPECT Images and Artificial Neural Network for Classification”, 2nd IETE National Level conference (Student Technical Paper Contest), organized by IETE Mysuru centre.

 

 

 

	Journal	Conference	Book/Book chapter	Total
Springer		4	6	10
Elesvier	2			2
Inderscience	2			2
Bentham Science	2			2
American Scienctific	1			1
World Scientific	1			1
IEEE		10		10
McGrawHill			1	1
PHI			2	2
Others	08	10	1	19