Professional Journey
📚 Education
Doctor of Philosophy (2015-2019)
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Thesis: Epilepsy diagnosis from EEG; A machine learning approach
Supervisors: Dr. Justin Dauwels, Dr. Brandon Westover, Dr. Sydney CashBachelor of Technology (2010-2014)
Electronics and Telecommunication Engineering, National Institute of Technology, Calicut, India
Thesis: Physical layer design for underwater acoustic communication
Supervisor: Dr. A. V. Babu
💼 Employment History
2023-Present Research Scientist
Department of Biomedical Engineering, Duke University, USA
Supervisor: Dr. Birgit Frauscher, Director of Duke Comprehensive Epilepsy Center
On-going Projects:
- Deep phenotyping of stereo-EEG data for optimizing epilepsy surgery
- Utilizing Large language models to derive and standardize seizure semiology
- Multicenter clinical evaluation of stereo-EEG biomarkers for epilepsy surgery
- Intracranial thalamic stimulation for modulating sleep-epilepsy networks
- Longitudinal assessment of sleep quality using wearables
- Determining variability in epileptic spike morphology across vigilance states
On-going Collaborative Projects:
- Development of EEG-based biometric system to identify friend and foe in defense application (Dr. Jac Fredo, IITBHU - Indian Institute of Technology (BHU), India)
- Music therapy’s potential to reduce epileptic activity in drug-resistant focal epilepsy (Dr. Thaera Arafat, Dr. Firas Fahoum, Tel Aviv Medical Center, Israel)
- Evaluating long-term effects of pulsatile corticoid therapy in children with genetic drug-resistant epilepsy (Dr. Katharina Schiller, Dr. Markus Rauchenzauner, Children’s Hospital Kaufbeuren, Bavaria, Germany)
2021-2023 Postdoctoral Fellow
Montreal Neurological Institute, McGill University, Canada
Supervisors: Dr. Jean Gotman, Dr. Birgit Frauscher
Projects:
- Developing computational stereo-EEG biomarkers for aiding epilepsy surgery
- Evaluation of human sleep patterns within the brain and their relationship to memory function and abnormal activity
- Analysis of intracerebral epileptic and sleep patterns during auditory stimulation
- International survey-based evaluation of current stereo-EEG-based epilepsy surgery practices and terminology
2019-2020 Postdoctoral Fellow
Nanyang Technological University, Singapore
Supervisor: Dr. Justin Dauwels
Projects:
- Developing automated deep learning-based detectors for identifying epilepsy patterns such as spikes, seizures, and slowing
- Integrating the detectors with the commercial product
- Developing an automated deep learning-based model for autism diagnosis using resting-state fMRI data
2019 Project Assistant
Nanyang Technological University, Singapore