Dr Ashokkumar S.R
Associate Professor
| Department of Computer Science and Engineering
M.S. RAMAIAH UNIVERSITY OF APPLIED SCIENCES, BANGALORE
Karnataka
Expertise:
Computer Science Artificial Intelligence
18
Publications
0
Projects
296
Scopus Citations
232
CrossRef
13 Years 2 Months Total Experience
Scopus
296
Citations
11
h-index
CrossRef
232
Citations
10
h-index
Google Scholar
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Professional Recognition
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Community & Membership
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ISTE
LM102750Personal Details
Doctor of Philosophy
2021
Sultan Qaboos University, Muscat
Master of Engineering
2013
A.V.C. College of Engineering
Bachelor of Engineering
2009
A.V.C. College of Engineering
Associate Professor
Aug 2025 – Present
M.S. RAMAIAH UNIVERSITY OF APPLIED SCIENCES, BANGALORE
| Department of Computer Science and Engineering
Associate Professor
Jun 2024 – Aug 2025
SAPTHAGIRI NPS UNIVERSITY
Associate Professor
Feb 2021 – May 2024
Sri Eshwar College of Engineering
| Department of Electronics and Communication Engineering
Assistant Professor
Jun 2015 – Feb 2021
SSM INSTITUTE OF ENGINEERING AND TECHNOLOGY, DINDIGUL
Assistant Professor
Jun 2011 – Apr 2013
RVS school of Engineering and Technology, Dindigul
Engineering and Technology
Scholarly Work
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Scholarly Publications
Retraction Note to: An optimized deep learning network model for EEG based seizure classification using synchronization and functional connectivity measures (Journal of Ambient Intelligence and Humanized Computing, (2021), 12, 7, (7139-7151), 10.1007/s12652-020-02383-3)
Open Access
10.1007/s12652-022-04033-2
Scopus: 1
A Literature Survey on Artificial Intelligence-Based Smart City Automation Using LoRa and IOT for Street Lights and Air Quality Check
Li-Fi Technology for Vehicle-to-Vehicle Communication
Detection and Recognition of Species using Deep Convolution Neural Network
An Implementation of Coal Mining Safety and Alerting System Using Internet of Things
Extreme learning adaptive neuro-fuzzy inference system model for classifying the epilepsy using Q-Tuned wavelet transform
A KSOM based neural network model for classifying the epilepsy using adjustable analytic wavelet transform
A novel two-band equilateral wavelet filter bank method for an automated detection of seizure from EEG signals
Showing 1 to 8 of 18 publications