Careers VIT Vellore VIT – AP VIT Bhopal VIT Bangalore

Dr. Ilakiyaselvan N

Assistant Professor


PhD: VIT Chennai

Research Area: Natural Language Processing, Biomedical Analysis, Drone Technology in Agriculture, Software Engineering

Employee ID50183
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
Ph.D2022 Biomedical AnalysisVellore Institute of Technology (VIT), Chennai
M.E/M.Tech2010Software EngineeringCollege of Engineering Guindy, Anna University, Chennai
B.E./B.Tech2008Information TechnologyJeppiaar Engineering College, Chennai-600119. (Anna University Affiliated)
Post-Doctoral Experience if any_
Research Details
Areas of SpecializationNatural Language Processing, Drone Technology in Agriculture, Software Engineering.Biomedical EEG signal analysis – Brain disease Identification
Scopus ID


H-index (scopus)3
Google Scholar ID


i10 index1
Patent Published Details
Patent Published Title 
Patent Published Application No. 202041048787A. 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. 202141060899Maheswari 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

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