I am an Assistant Professor at the Mehta Family School of Biosciences and Biomedical Engineering, IIT Indore. My research brings together biomedical signal processing, neurotechnology, and machine learning — with a focus on EEG/SEEG analysis, seizure characterization, affective computing, and brain network analysis.

Previously, I was a Postdoctoral Fellow at the Epilepsy Center, Neurological Institute, Cleveland Clinic, working with Dr. Balu Krishnan in the SPIKE Lab, where my work focused on seizure segmentation in stereotactic EEG (SEEG) and unsupervised learning of ictal patterns using contrastive latent representations.

I received my Ph.D. from the Indian Institute of Technology (IIT) Madras in the Department of Applied Mechanics and Biomedical Engineering, advised by Prof. Ramakrishnan Swaminathan and Dr. Subha D. Puthankattil. My doctoral research centered on the analysis and classification of audio-visual stimuli induced emotional states using EEG signals, leveraging advanced signal processing and explainable machine learning techniques.

Prior to Cleveland Clinic, I was a Guest Scientist at University Hospital RWTH Aachen (Germany) through the prestigious DAAD Bi-National Guided Research Fellowship, supervised by Prof. Ute Habel, where I investigated EEG-based impulsivity classification and functional brain network analysis. I hold an Integrated M.Tech in Biomedical Engineering from IIIT Allahabad, where I graduated with a Medal for academic excellence.

My research interests include:

• Artificial Intelligence and Machine Learning for Biomedical Data
• Neural Signal Processing (EEG/SEEG/MEG)
• Brain Connectivity and Network Neuroscience
• Neural Engineering
• AI for Healthcare and Clinical Diagnostics

I am a peer reviewer for journals including IEEE Transactions on Affective Computing, Brain Communications, Journal of Neural Engineering, Signal, Image and Video Processing, and Scientific Reports.

News

• July 2026 — Joined IIT Indore as an Assistant Professor in the Mehta Family School of Biosciences and Biomedical Engineering.
• May 2026 — Paper Subject-independent emotion recognition with EEG bispectral quadratic phase coupling features and explainable machine learning published online in Biomedical Physics & Engineering Express. Read on IOPscience
• April 2026 — Paper Three-Phase Seizure Segmentation in Stereotactic EEG Using Envelope-Based Multivariate Changepoint Analysis published online in Annals of Biomedical Engineering. Read on Springer
• April 2026 — Paper EEG-based emotion recognition using super-resolution superlet transform and self-attention convolutional neural network accepted in Biomedical Signal Processing and Control. Read on ScienceDirect
• March 2026 — Abstract accepted as Printed Poster Presentation at the 2026 ASSFN Biennial Meeting, Cleveland, OH (May 30–June 2, 2026).
• December 2025 — Presented Unsupervised Learning of Ictal Patterns from Stereo EEG using Contrastive Latent Representation at the American Epilepsy Society Annual Meeting. Read AES abstract