CV
Education
- Ph.D., Biomedical Engineering — Indian Institute of Technology (IIT) Madras, Chennai, India (2019–2024)
- Thesis: Analysis and Classification of Audio-Visual Stimuli Induced Emotional States Using EEG Signals
- Advisors: Prof. Ramakrishnan Swaminathan & Dr. Subha D. Puthankattil
- Half-Time Research Assistantship (HTRA) fellowship, Ministry of Education, Govt. of India
- Integrated M.Tech, Biomedical Engineering — Indian Institute of Information Technology (IIIT) Allahabad, Prayagraj, India (2013–2018)
- Bronze Medal for outstanding academic performance
- Thesis: Detection of Valvular Heart Diseases Using Heart Sounds (PCG) and Machine Learning
Experience
- Assistant Professor — Mehta Family School of Biosciences and Biomedical Engineering, IIT Indore, Indore, India (2026–present)
- Room FC 509, LRC Building, Khandwa Road, Simrol, Indore (M.P.) 453552
- Research: AI/ML for biomedical data, neural signal processing (EEG/SEEG/MEG), brain connectivity and network neuroscience, neural engineering, AI for healthcare and clinical diagnostics
- Postdoctoral Fellow — Cleveland Clinic, Neurological Institute, Cleveland, OH, USA (2024–2026)
- SPIKE Lab, working with Dr. Balu Krishnan on neurotechnology and brain signal processing for epilepsy research
- Seizure segmentation in stereotactic EEG (SEEG) using contrastive latent representations
- Seizure onset zone (SOZ) localization using advanced signal processing and deep learning
- Superlet transform and transformer-based approaches for SEEG analysis
- Guest Scientist (DAAD & AROP Fellow) — University Hospital RWTH Aachen, Aachen, Germany (2021–2022)
- Supervised by Prof. Ute Habel, Dept. of Psychiatry, Psychotherapy and Psychosomatics
- EEG-based impulsivity classification using data-driven machine learning
- Whole-brain functional connectivity analysis for trait impulsivity prediction
- Functional brain network analysis using graph-theoretic methods
- Doctoral Research Scholar — Indian Institute of Technology (IIT) Madras, Chennai, India (2019–2024)
- NIID Lab, Dept. of Applied Mechanics and Biomedical Engineering
- Developed multi-modal (EEG, PPG, EDA) signal analysis frameworks for affective computing
- Designed nonlinear phase-based functional connectivity measures for emotion recognition
- Published 10+ journal articles and 8 conference papers
- Research Intern — Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India (2017–2018)
- Biomedical signal processing and instrumentation research
Awards & Fellowships
- DAAD Bi-National Doctoral Guided Research Fellowship (2022) — German Academic Exchange Service (DAAD). Funded by the German Federal Ministry of Education and Research.
- Advanced Research Opportunities Program (AROP) Fellowship (2021) — RWTH Aachen University
- Half-Time Research Assistantship (HTRA) (2019–2024) — Ministry of Education, Government of India
- Bronze Medal — Academic Excellence (2018) — IIIT Allahabad, Integrated M.Tech in Biomedical Engineering
Invited Lectures
- BME Engineering Training Program — IITM and ISRO Human Spaceflight Training Program, IIT Madras (14 February 2025)
- Short-Term Programme on Medical Informatics and Digital Health — IIT Hyderabad (21 March 2025)
- Faculty Development Program on Next Generation Health Technologies: Integrating Signal Processing, Teleneurology and AI — Adi Shankaracharya Institute of Engineering and Technology, Kerala (6 June 2025)
- 4th IEEE International Conference on Sensors and Related Networks — Preconference Lecture, Vellore Institute of Technology (VIT), Vellore (17 July 2025)
Skills
- Signal Processing: EEG/SEEG Analysis, Superlet Transform, Wavelet Packet Transform, Phase-Amplitude Coupling, Functional Connectivity, Time-Frequency Analysis, Nonlinear Dynamics
- Machine Learning & AI: Deep Learning (Transformers, CNNs), Random Forests, L1-Regularized Logistic Regression, SVMs, Explainable AI (XAI), Contrastive Learning
- Programming & Tools: Python, MATLAB, R, LaTeX, Git, EEGLAB, MNE-Python, TensorFlow, PyTorch, Scikit-learn
- Neuroimaging: Stereotactic EEG (SEEG), Scalp EEG, PPG, EDA, MEG, Brain Mapping
- Statistics: Logistic Regression, ICC, Adjusted Rand Index, Permutation Testing, Bootstrap Methods, Mixed-Effects Models
Service & Reviewing
- Peer Reviewer: IEEE Transactions on Affective Computing, Brain Communications, Journal of Neural Engineering, Scientific Reports
Publications
Please see the Publications page for the full list of publications.