Electronics and Instrumentation

 About Department

             The Department of Instrumentation Technology was established in the year 1978 and renamed as Electronics and Instrumentation in the year 2014. Department offers UG programme, B.E. in Electronics and Instrumentation Engineering and PG programme, M.Tech. in Biomedical Signal Processing and Instrumentation. The department has state of the art facilities to cater to the needs of undergraduate, post graduate and research programs. The Department has well experienced and dedicated faculty, seven with doctorates and four  pursuing Ph.D. The Department has well equipped laboratories such as Electronic Circuits, Instrumentation, Process Control, Microcontrollers, IoT, Biomedical Instrumentation, VHDL, DSP and also provides good computing facilities to impart quality technical education. The department has a well-focused research centre concentrating on recent advancements in the area of Medical Image analysis, Real time Signal Processing, Speech and Biomedical Signal Processing. The Department has a  library, enriched with a good number of books relevant to the program. Campus placement for students is excellent. Students have excelled in their academics and are placed in reputed companies. The department is proud to have distinguished alumni, who excelled in their career with outstanding performance at the global level.

Message From HOD

“ The department of Electronics and Instrumentation was started in the year 1978. It was the first of its kind in the technical education system in the country. Over the past 43 years, it has produced top notch engineers who have taken the name of our department and college to greater heights. Many of our alumni own major industries providing employment to the next generation engineers and many are contributing to the research and development across national and international sectors. I am indeed happy to be part of such a great department offering my best leadership in meeting the expectation of next generation Instrumentation engineers. Our faculty are committed to teaching and research with a main focus on giving laboratory level hands on exposure to the students. The department provides open space for promoting ideas and help in developing the skills at all levels of Bloom’s taxonomy. ”                                                                                                                                                

Dr. K Umarani

  • uma_devoor@jssstuniv.in
  • 9448569883

Vision

“To produce professionally competent engineers to face the global challenges in the field of Electronics, Instrumentation and Health care Engineering”.

Mission

  1. To impart quality education based on in-depth and thorough understanding of fundamentals.
  2. To provide practical exposure for students to face global challenges.
  3. To facilitate R&D activities in the areas related to Electronics, Instrumentation, Signal Processing, Health care and Rehabilitation Engineering.
  4. To encourage students to become Entrepreneurs.
  5. To develop both personal and technical skills of young engineers who will contribute to the development of society.
  • Dedicated and experienced faculty
  • Well equipped laboratories
  • Good Alumni support
  • Library with good number of books
  • Sensors and Instrumentation
  •  Health care and Analytics

Long Term

  • To embark upon higher-level knowledge transfer to students, aiming at moulding them with necessary skills to cater to the need of the hour.
  • To emerge as a knowledge pivot for Education with International Quality Standards.
  • To establish a Centre of Excellence in Instrumentation and Health care Engineering
  • To organise International conference

Short Term

  • To ramp up the interaction with Industries and Research organisations.
  • To revamp hands on training to students in the areas outside the curriculum, but very much necessary.
  • To organise National conference.
# 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.
UG details PG details Research Programmes
B.E. (Electronics and Instrumentation Engineering) : 4 years duration M.Tech. (Biomedical Signal Processing and Instrumentation): 2 years duration M.Sc. (Engineering) by research

Ph.D.

OBE Administration

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

Asst.Professor, Dept of E&I,SJCE(JSSSTU)

Internal Academician Member
7 Abhinandan 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,

  1. 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 Shailaja
3 Senior associate  professor of the concerned dept member Dr.K Umarani

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.

Know your Faculty

# Faculty Name Qualification (Specialization) Design. Exp. Yrs. DOJ Nature of Association Email-Id (JSS STU)
1 Dr. K Umarani Ph.D.(Biomedical signal & speech processing, Machine learning) Associate Professor and Head 32 20-10-1989 Regular uma_devoor@jssstuniv.in
2 Dr. Shailaja K Ph.D.(Control systems and power converters) Associate Professor 34 26-05-1987 Regular kshaila_15@jssstuniv.in
3 Dr. Mallikarjunaswamy M S Ph.D.(Medical image processing & visualization, VLSI) Assistant  Professor 26 22-01-2007 Regular msm@jssstuniv.in
4 Dr. Nanda S Ph.D.(Medical image analysis and machine learning) Assistant  Professor 25 13-10-2003 Regular nanda_prabhu@jssstuniv.in
5 Ms. Rajeswari P M.Tech.(Process Instrumentation and Automation, Speech signal processing) Assistant  Professor 23 08-10-2003 Regular  

 

 

6 Dr. Rathnakara S Ph.D.(Speech signal processing & Rehabilitation engineering) Assistant  Professor 23 30-10-2004 Regular rathnakara_s@jssstuniv.in
7 Dr. Sheela N Ph.D.(Medical image analysis and machine learning) Assistant  Professor 15 01-03-2006 Regular sheelaraon@jssstuniv.in
8 Ms. Chaya H P M.Tech.(Biomaterials and Sensors, Data Analytics, MEMS) Assistant  Professor 13 06-08-2008 Regular chaya.hp@jssstuniv.in
9 Dr. K S Babu Ph.D.(Biomedical Image Processing) Assistant  Professor 15 01-09-2015 Regular NU
10 Ms. Ashwini G M.Tech.(Pattern recognition) Assistant  Professor 5 01-10-2016 Regular ashwinig@jssstuniv.in
11 Ms. Anusha M U M.Tech.(Medical image processing and Machine learning) Assistant  Professor 5 01-10-2016 Regular nusha.mu@jssstuniv.in
# Name Qualification Designation Exp.Yrs Email-ID
1 Lakshmiprasad

R.S.

I.T.I Instructor 19 rslp28@sjce.ac.in
2 Chaluvaraju. C I.T.I Asst

Instructor

13 chaluvaraju@rediff.com
3 Basavaraju P VIII std Helper 12
4 Jagadeesh B.S I.T.I Lab Asst. 9 Jagadeeshabs1978@gmail.com
5 Naveen H S I.T.I Lab Asst. 5 hsnaveen84@gmail.com

Curriculum & 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. 

RESEARCH INITIATIVES

# Research Guide Area of Specialization
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

# 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

Completed Funded Project Details:

# Project Title Principal Investigator Duration Funding Agency Amount Action Date of Sanction
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)

 

  1. 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 2020-21 2019-20 2018-19 2017-18 2016-17
No of students 54 56 61 62 63
No of students placed 41 40 43 56 32
Higher studies 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

1

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)

Scopus/ WoS

Indexed journal

Scopus/ WoS

Indexed Conf/

Total

 

Dr. V. Udayashankara

20 7 2 (books) 3 7

29

Dr. K. Shailaja

4 3 2

7

Dr. K. Umarani

6 3 1 1

9

Dr. Mallikarjunaswamy M.S.

12

4   4 (book chapter) 7 5

20

Dr. Nanda S

9 1 1 1

10

Mrs. P. Rajeshwari

4

3

7

Dr. S. Rathnakara

8 5 1 2

13

Dr. Sheela N Rao

6 4 2 1

10

Ms. Chaya H P 2  2

Dr. K. S. Babu

3 2 2 2

5

Mrs. Ashwini G

Mrs. Anusha M U

1

2 1

3

Total 73 36 6 19 20

 

115

 

Dr. V. Udayashanakara

Text Books 

  1. Udayashankara, ―Modern Digital Signal Processing-includes signals and systems, Matlab programs, DSP Architecture with Assembly and C programs‖ Prentice Hall India2012, 3rd Edition -2016
  2. Udayashankara, ―Speech signal processing‖, IK International, 2021 International Journals
  3. Gour G.B., Udayashankara V, Badakh D.K., Kulakarni Y.A., ―Voice disorder identification of Laryngeal cancer patients‖, International Journal of Advanced Computer Science and Application, Vol. 11, Issue 11, 2021, Pages 352-358
  4. Gour G.B., Udayashankara V, Badakh D.K., Kulakarni Y.A., ―Frame work based supervised voice activity detection using linear and nonlinear features‖, International Journal of Computer Science and Engineering, Vol. 11, Issue 6, 2020, Pages 935-942.
  5. R. Kiranmayi and V.Udayashankara, ―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 2020, Pages 109-122 4. Bindu Shree C, Navya Bharathi K S, Dr. V Udayashankara,―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, 2020
  1. Navya Bharathi K S, Bindu Shree C, Dr. V Udayashankara, ―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. 2020
  2. S. Raju and V Udayashankara, ―A Survey on Unimodal, Multimodal Biometrics and its Fusion Techniques‖, International Journal of Engineering & Technology, 7, 2018, 689695.
  3. A S Raju, V Udayashankara, ―Performance Evaluation of Multimodal Biometrics System‖, International Journal of Pure and Applied Mathematics, Volume 118, No. 5, 2018, pp 367-381.
  4. Amaresh P Kandagal, V.Udayashankara, “Audio and Audiovisual Speech Recognition for Noisy Acoustic Conditions, International Journal of pure and applied Mathematics, Volume 118, No 5, 2018, PP 353-365.
  5. 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.
  6. Amaresh P Kandagal,V.Udayashankara, “Visual Speech Recognition Based On Lip Movement for IndianLanguages”, International Journal of Computational Intelligence Research (IJCIR), ISSN 0973-1873 Volume 13, Number 8, pp. 2029-2041, 2017
  7. Amaresh P Kandagal,V.Udayashankara, “Speech Corpus Development for Speaker Independent Speech Recognition for Indian Languages”, Grenze International Journal of Engineering & Technology (GIJET), ISSN: 2395-5287, 2017
  8. 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.
  9. 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
  1. 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
  1. 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
  2. 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
  3. 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
  1. 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.
  2. 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 2016.
  3. 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.

International Conferences

  1. Amaresh P Kandagal and V.Udayashankara, “Speech Corpus Development for Speaker Independent Speech Recognition for Indian Languages”, International Conference on Signal, Image Processing Communication and Automation (ICSIPCA- 2017), JSS Academy of Technical Education, 6th &7th  July 2017.
  2. Amaresh P Kandagal and V.Udayashankara, Anusuya M.A.”Silent Speech 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, 6th  &7th  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, 6th  &7th  July 2017.
  1. 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, 6th &7th  July 2017.
  2. Udayashankara and Swapna Havalgi, ―Speech Therapy System to Kannada Language‖, Second International Conference on Cognitive Computing & Information Processing, Aug 12-13, 2016, SJCE, Mysore.

 

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.,―Diagnosis of Skin Pathologies using Image Processing Techniques‖, Materials Today: Proceedings, Elsevier 2020 (ISSN: 2214-7853doi.org/10.1016/j.matpr.2020.10.853)
  3. Shailaja K, Shrynik Jain M B and Priyadarshini K, ―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. 2018
  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.

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.

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, 6th – 7th June 2018.

 

Dr. K. Umarani

Journal Publications

  1. Nalini T S, Anusha M U, Dr. K Uma rani, ―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, 2020, 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 87-94, vol. 5, no. 1, Nov. 2016. (DOI: 10.5430/air.v5n1p87) Impact factor -1.691 Conference Publications
  7. Nalini T S, Anusha M U, Uma rani K, ―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. 2020
  8. Nalini T S, Anusha M U, Uma rani K, ―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. 2020
  9. 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.

 

Dr. Mallikarjunaswamy  M. S.

International Journals

  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: 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, Imaging Modalities and Parameters in Diagnosis of Rheumatoid Arthritis, International Journal of Grid and Distributed Computing, Vol. 13(2), 2020, pp: 1082 – 1089.
  4. Praveen, Mallikarjunaswamy M.S., Chandrashekhara S., Quantification of Intervertebral Space of Lumbar Spine in Lower Back Pain Affected People, International Journal of Future Generation Communication and Networking, Vol. 13(4),  2020, pp. 2409–2414.
  5. Mahesh Kumar A S, Mallikarjunaswamy M S, Chandrashekara S, ―Detection of Rheumatoid Arthritis using Image Processing Techniques‖, International Journal of Psychosocial Rehabilitation, Vol. 24(2), 2020,  pp. 4714-4724 (DOI: 10. 37200 /IJPR /V24I2 /PR2020910).
  1. Rashmi H., Mallikarjunaswamy M.S., Dinesh R., Shailaja K., ―Diagnosis of Skin Pathologies using Image Processing Techniques‖, Materials Today: Proceedings, Elsevier 2020 (doi.org/10.1016/j.matpr.2020.10.853)
  1. Mallikarjunaswamy M. S., Bhanu H.S., ―Development of 3D Model of Tibia Femoral Bone in Knee Joint for FEA‖, Indian Journal of Public Health Research & Development, Vol.10(5), 2019, pp:916-920 (DOI:10.5958/0976-5506.2019.01196.3).
  2. Mallikarjunaswamy M. S., Mallikarjun S Holi, Rajesh Raman and Sujana Theja J S.  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), 2019, pp:565-572( DOI:10.2174/1573405614666181018123251 )
  1. Usha D., Mallikarjunaswamy M.S., ‗Detection of Malaria Based on the Blood Smear Images Using Image Processing Techniques‘, International Journal of Engineering Research & Technology, 5 (21), May 2017, pp.94-97
  2. 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
  3. 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)
  4. 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, 6622-6626, DOI:10.15662/IJAREEIE.2016.0508004)

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 978-981-160550-5_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 978-98116-2594-7_50)
  3. Mallikarjunaswamy M. S., Mallikarjun S Holi, Rajesh Raman and Sujana Theja 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.10171025(DOI: 10.1007/978-3-030-41862-5_103)
  1. Mallikarjunaswamy M. S., Rajesh Raman,  Mallikarjun S. Holi and Sujana Theja 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: 22129391, DOI:10.1007/978-3-319-71767-8)
  1. 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)

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. 4th 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, 25th 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

 

Dr. Nanda S.

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. Renuka Hiremath, Saurav Pratap Singh, Nanda S, ―Real-Time Implementation of Signal Processing Techniques for Human Physical Activity Monitoring‖, Dogo Rangsang Research Journal, Vol-10, Issue-08, pp 17-21, August 2020.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  1. 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.

 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.

 

Mrs. Rajeswari P.

Journal Publications

  1. Anusha S and P.Rajeswari ―EEG-Based Mental Fatigue Detection using Threshold Based       Classification‖ ‗International Journal of Recent Technology and Engineering (IJRTE)‘  Volume-8 Issue-2, 2019, ISSN 2277-3878.
  2. Krutika R and P.Rajeswari ―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, 2018, 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.
  1. Syeda Adiba Rehman and P.Rajeswari ―P wave Estimation using DWT‖ , IJIAREC, Vol. 5, Issue-2, pp:2299-3303 May-2017.

 Conference Publications

  1. 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 shrimathi devkunvar Nanalal bhatt vaishnav college for women , Chennai in collaboration with global conference hub, Coimbatore on 29 and 30th July 2021.
  2. Syeda Adiba Rehman and P.Rajeswari ―P wave detection using DWT‖ IJERT NLPGPS17, Vol.5, issue-21, pp76-77, June-2017.
  3. 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.

 

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)
  1. Sanjana S and Rathnakara.S ―Design of interface board for medical kiosk based on ―offthe-shelf‖ platform‖ International Research Journal of Engineering and Technology (IRJET) Volume: 04 Issue: 07 June-2017 PP 737-741 ISSN 2395-0072
  2. 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
  3. 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
  4. 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
  5. 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
  1. 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
  2. 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

International conference

  1. 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)
  1. 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)
  2. H & Rathnakara.S ―Real time multiplexed moving window baseline wander removal and arrhythmia analysis‖ National symposium of Instrumentation (NSI41) 2018 By IISc Bangalore and SJCE Mysore at SJCE Mysore, Karnataka
  3. 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

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

 

Dr. Sheela N Rao International Journal

  1. Apoorva S Kulkarni, Sheela N, “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 7.2020
  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.
  1. 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
  2. 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
  1. 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
  2. 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
  3. 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))

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.
  1. 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,
  2. 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): 978-1-50901025-7, ISBN (PoD): 978-1-5090-1026-4
  1. 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.)

 

Ms. Chaya H.P.

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.

 

Dr. Babu K.S. International Journals

  1. Babu, K. S., Sukanta Sabut, and Y. B. Ravi Kumar “Decision Trees For Segmentation And Assessment Of Wound Healing Process Of Diabetic Patients.” Biomedical Engineering: Applications, Basis and Communications 2019, 1950029
  2. Babu, K. S., Subudhi, A., & Sabut, S. Segmentation of Diabetic Wound by Multidimensional Clustering for Quantitative Assessment of Healing Process. Current Medical Imaging Reviews, 14(1), 2018, 71-76.
  3. S.Babu, Sukanta Sabut, 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 “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 2020
  2. Babu, K. S., Ravi, K. Y., & Sabut, S. 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 2017

Mrs Ashwini G Mrs Anusha M U Journals

  1. Nalini T S, Anusha M U, Dr. K Uma rani, ―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, 2020 Special issue

Conferences

  1. Nalini T S, Anusha M U, Uma rani K, ―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,―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.2020

 

 

  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