About Me
I hail from a small town- Raiganj, north of West Bengal, India. After my matriculation in 2015, I went to Kota for a couple of years to get coached for JEE (Advanced). Post that, I joined Jadavpur University in the Department of Electrical Engineering (2017-2021). I was extremely passionate about coaching students for JEE, and that's what I took up after my graduation for a couple of years (2021-2023), worked with Unacademy for a brief period, and together with a couple of trained faculties, planned our coaching institute Bodhiclasses. Parallelly, I was preparing for GATE CS and exploring the idea of pursuing a career in research. In Fall 2023, I secured admission in the School of Computing and Electrical Engineering, IIT Mandi for pursuing direct Ph.D., supervised by Dr. Siddharth Panwar, and had been on a wonderful journey ever since.
My pastimes include movies (mostly of dense philosophical tone), reading books (mostly non-fiction), playing Tabla, writing poems, occasionally reflecting about varied perspectives of life and our place in this Universe, and yes, I play a lot of Chess, albeit without any knowledge of theory whatsoever.
I am awestruck by the human ability to comprehend sophisticated patterns in the Universe, and connect seemingly unrelated domains to build extremely sophisticated tools for advancing knowledge driven with curiosity. To further this, I am exploring Electroencephalography, an underexplored modality as a shadow of the source of everything -- the human brain.
Education
Ph.D. (Intelligent Systems) : 2023 - Present
Institute - Indian Institute of Technology, Mandi
B.E. (Electrical Engineering) : 2017-2021
Institute - Jadavpur University, Kolkata, India
Courses Taken:
EE511: Computer Vision
EE516: Biomedical Systems
EE531: Estimation & Detection Theory
CS669: Pattern Recognition
IK502: Introduction to Biosignals
IK510: Cognitive Neuroscience
Research Contributions
2026
[January] Femtomodels for EEG Artifact Removal: A Parameter Lower-Bound for Generalisable EOG Denoising, paper accepted at ICASSP 2026 as an Oral Presentation, the most prestigious flagship conference of the IEEE Signal Processing Society (IEEE ICASSP 2026)! [Paper] [Code]
[June] Robust multi-centre interictal EEG biomarker for distinguishing epilepsy from mimickers, paper accepted at the Journal of Neural Engineering! [Paper] [Code]
[June] Balanced Predictive Attractor Networks: A Compact Excitatory–Inhibitory Testbed for Anytime and Sequential Inference, paper accepted at the IEEE Transactions on Cognitive and Developmental Systems! [Paper] [Code]
2025
[June] MicroWaveNet: Lightweight CBAM-Augmented Wavelet-Attentive Networks for Robust EEG Denoising, paper accepted at the 35th IEEE International Workshop on Machine Learning for Signal Processing (IEEE MLSP 2025)! [Paper] [Code] [Video]
[December] Evaluating the clinical readiness of artificial intelligence in EEG-Based epilepsy diagnosis, paper accepted at the Journal of Neural Engineering! [Paper]
2021
Got introduced to the field of Machine Learning and contributed (mildly) to a research on classifying EMG signals with SVM and ANN. Dimension reduction was done through PCA and LDA and the results were compared. [Paper]
Awards, Fellowships and Grants:
Awards:
The Secret of Work Scholarship: Finalist amongst the top 150 candidates chosen for scholarship amongst 47000+ candidates nationwide who wrote the test and 200 people who qualified for the interview. The subject of the evaluation was on Karma Yoga by Swami Vivekananda.
Fellowships:
HTRA Fellowship: The Half-Time Research Assistantship (HTRA) fellowship is a financial support scheme for full-time postgraduate (M.S. and Ph.D.) students at institutions like IITs and NITs.
Grants:
Travel Grant for IEEE MLSP 2025: Institute travel grant of ₹ 1,00,000 that includes travel and accommodation expenses.
Competitive Examinations Qualified:
GATE DA 2025
GATE CS 2023
JEE (ADVANCED) 2017
BITSAT 2017
WBJEE 2017