Academic Identity
-
Orcid Id 0000-0003-3790-3900 -
Scopus Id 9633620200 -
Researcher Id Y-9412-2018 -
Google Scholar Id HphwUHwAAAAJ
-
Dr N Sriraam
- Head of the Division
- M S Ramaiah Institute of Technology, Bangalore
Publications 2002 - 2024
Publications
-
63
Journal Articles
-
12
Book Chapter
-
56
Conference
Proceedings -
1
Review
-
4
Projects
-
7
-
5
-
1
-
100
Citations / H-Index
2302
Citations
23
h-index
2142
Citations
Altmetrics
5
1
1
10
1
Google Scholar
Personal Information
Dr N Sriraam
Male
M S Ramaiah Institute of Technology, MSRIT Post, M S Ramaiah Nagar
Bangalore, Karnataka, - 560054
Experience
-
Head of the Division
R&D
M S Ramaiah Institute of Technology, Bangalore
-
Professor
Department of Medical Electronics
M S Ramaiah Institute of Technology, Bangalore
Qualification
-
Ph.D
Multimedia University Malaysia
-
MTech
Manipal Institute of Technology
-
BE
National Engineering College
Honours and Awards
2010
International Engineer of the year 2010
International Biographical Center, Cambridge, England
2010
International Engineer of the year 2010
International Biographical Center, Cambridge, England
Doctoral Theses Guided
2022
DEVELOPMENT OF WEARABLE MONITORING FRAMEWORK FOR DETECTION OF CARDIAC EPISODES
Avvaru Srinivasulu, Visvesvaraya Technological University
2021
KNOWLEDGE BASED DECISION SUPPORT MEDICAL SYSTEM USING DATAMINING FRAMEWORK
BV Ravindra, MIT Manipal
2021
WEARABLE ECG MONITORING SYSTEM FOR SCREENING OF CARDIAC ACTIVITIES
Uma Arun, M.S Ramaiah Institute of Technology
2022
DEVELOPMENT OF WEARABLE MONITORING FRAMEWORK FOR DETECTION OF CARDIAC EPISODES
Avvaru Srinivasulu, Visvesvaraya Technological University
2021
KNOWLEDGE BASED DECISION SUPPORT MEDICAL SYSTEM USING DATAMINING FRAMEWORK
BV Ravindra, MIT Manipal
2021
WEARABLE ECG MONITORING SYSTEM FOR SCREENING OF CARDIAC ACTIVITIES
Uma Arun, M.S Ramaiah Institute of Technology
2020
Automated Seizure Detection for long term monitoring
Raghu, The Maastricht University the Netherlands
2018
“Investigation of thermally induced failure mechanisms in electronic components and systems”
Lakshminarayanan, SRI CHANDRASEKHARENDRA SARASWATI VISWA MAHAVIDYALAYA
2018
“Study and investigation of Electrooculogram (EOG) signals for human computer interface development”
Sandra D'Souza, SCSVMV University
2017
Optimal Feature Subset Selection for Pattern Classification & Recognition of Multichannel EEG data using Spectral Entropy as a Complexity Measure: Applications to Alcoholic and Sleep EEG data
TK Padmashri, SRI CHANDRASEKHARENDRA SARASWATI VISWA MAHAVIDYALAYA
Membership In Professional Bodies
2010
IEEE USA
Senior Member
2008
Telemedicine Society of India
Life Member
2001
ISTE
Life Member
2010
IEEE USA
Senior Member
2008
Telemedicine Society of India
Life Member
2001
Read Less
ISTE
Life Member
