Dr. Ilakiyaselvan N

Assistant Professor

Email: ilakiyaselvan.n@vit.ac.in

PhD: VIT Chennai

Research Area: Biomedical Signal Analysis

Employee ID 50183
Intercom 1286
Educational details (Please mention all the degrees with latest first)
Degree Passed out year Specialization Institute/University/ College
Ph.D 2022 Biomedical Signal Analysis Vellore Institute of Technology (VIT), Chennai
M.E/M.Tech 2010 Software Engineering College of Engineering Guindy, Anna University, Chennai
B.E./B.Tech 2008 Information Technology Jeppiaar Engineering College, Chennai-600119. (Anna University Affiliated)
Post-Doctoral Experience if any _
Research Details
Areas of Specialization Biomedical EEG signal analysis – Brain disease Identification
ORCID ID https://orcid.org/0000-0003-2133-3659
Scopus ID https://www.scopus.com/authid/detail.uri?authorId=57195106623


H-index (scopus) 2
Google Scholar ID https://scholar.google.com/citations?user=1Kv6n-4AAAAJ&hl=en


i10 index 1
Patent Published Details
Patent Published Title  
Patent Published Application No. 202041048787 A. Nayeemulla Khan, N. Ilakiyaselvan,  A. Shahina,

Method and System for Identification of Brain Diseases; Schizophrenia, Epilepsy and Sleep disorder using EEG, Deep Learning and Reconstructed Phase Space.

Patent Published Application No. 202141060899 Maheswari R, Thomas Abraham J V, Sharath Kumar J, N. Ilakiyaselvan, Muralidhar  A,

IOT Based Automatic Steam Inhalation Machine for the Public (COVID ASIM)

Major International Collaboration Details  – Academic Collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration
§  N. Ilakiyaselvan, A. Nayeemulla Khan, A. Shahina, Reconstructed phase space portraits for detecting brain diseases using deep learning, Biomedical Signal Processing and Control, Volume 71, Part B, 2022, 103278.

§  Ravi S., Shreenidhi S, Shahina, N. Ilakiyaselvan, A. Nayeemulla khan. Epileptic seizure detection using convolutional neural networks and recurrence plots of EEG signals. Multimedia Tools and Applications 81, 6585–6598 (2022).

§  Ilakiyaselvan N, Nayeemulla Khan A, Shahina A. Deep learning approach to detect seizure using reconstructed phase space images. J Biomed Res. Jan 2020; 34(3):240-250