People

Principal Investigator

Dr. Rajan Kashyap
Dr. Rajan Kashyap completed his Electrical Engineering from NIT Bhopal and was selected as a Talent Italy Fellow (Full fellowship) to pursue his Masters in Electronics Engineering at Politecnico Di Torino, Italy. He earned his PhD in Physics (Neuroscience) from Hong Kong, in close collaboration with Humboldt University, Germany, supported by Hong Kong Government's Top PhD Fellowship (HKPFS) and the DAAD Fellowship from Germany.
Dr. Kashyap has extensive experience working with leading AI and neuroscience researchers. He served as a Research Scientist at the National University of Singapore under Dr. Thomas Yeo, one of the world's top neuroscientists, and later at the AI & Clinical Brain Application Labs at Nanyang Technological University, Singapore, collaborating with Prof. Annabel Chen and Cuntai Guan on AI, brain-computer interfaces, and neurorehabilitation.
He also has industrial experience with companies like Oracle and Polaris and serves as an AI lecturer and neuroscientific consultant for universities and several startup organizations. In 2022, he returned to India as a Ramalingaswami Fellow, a prestigious recognition by the Government of India for top Indian scientists abroad.
He is now an Assistant Professor (under RLS Fellowship) at the Department of Neuroimaging and Interventional Radiology, NIMHANS, Bangalore. His research focuses on leveraging AI to analyze multimodal brain data and develop precision, non-invasive treatment strategies for neuropsychiatric disorders. He has developed five widely used open-source toolboxes and published extensively in top neuroscience journals.
CV | ORCID | X | LinkedIn | Scholar
Teaching
Advance Courses
(i) Functional MRI and Machine Learning
(ii) Data Driven Mental Health - Precision techniques for understanding the Brain
(iii) Statistical frameworks for Data Mining
Basic Courses
(i) Fundamentals of MRI
(ii) Signal and Image Processing - Concept of K space
(iii) Network Theory
(iv) Electrical Circuits
(v) The Science of Complexity
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Interests
  • Music 🎼 - He is a trained Tablist (Indian Classical Instrument) and loves to play the instrument at home and in invited concerts. Music soothes his soul.
  • Sports 🏃‍♂️ - Born to a national-level athlete mother, Rajan grew up inspired by sport and resilience. He went on to become a state-level swimming champion🏆, a pursuit that entertains him to his core. One of his most profound memories is watching his mother compete in the stadium while enduring intense cancer treatment, just six months before her passing - a journey that will continue to inspire his soul.
  • Traveling 🌍 - Vivid traveler enjoys food 😋, culture and people🫂.

Research Fellows

Tanushree L
Tanushree is a dynamic researcher focused on developing AI-driven solutions from large-scale data. She has developed models to estimate brain age using MRI data. Her work combines hands-on expertise in building AI models with experimental validation using MRI, FMRI, DTI, and tDCS, bridging computational approaches with real-world neuroimaging and neuromodulation applications.
Tanushree was selected as the FOSSEE Summer Fellow 2023 at IIT Bombay, where she published 15 projects in mathematical modeling using GeoGebra on the FOSSEE open-source platform. Her expertise lies in the application of Mathematics and Science, bridging interactive visualization such as 3D Augmented Reality (AR) with computational modeling.
Her passion for AI in healthcare was sparked during her MSc thesis, where she developed an "FFT Based Algorithm in Smart Watches for Disabled Persons." This work, which focused on signal processing for assistive technology, was presented at an International Conference and laid the foundation for her transition into computational neuroscience.
Moving forward, she aims to develop AI models, non-invasive treatment strategies for neuropsychiatric disorders and build personalized neuromodulation softwares to improve patient outcomes.
LinkedIn | Github | Website
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Interests
  • Outdoor Enthusiast 🌄 - Loves travelling 🚗, volunteering, trekking, and cycling 🚵‍♀️ (with a personal record of 55km, currently working toward 100km).
  • Sports 🏸 - An active sportsperson enjoying Badminton and Cricket (as a spinner).
  • Creative 🎨 - A creative at heart (Created this website 😂), she enjoys reading, writing poems, and unique experiences like bathing elephants. She has published four anthology poems and is the author of the anthology book "Spellbound," available on Amazon.
Rijin Reji
AI Researcher & Software Developer
Ernst & Young

A dynamic AI researcher and software developer at Ernst & Young, combining cutting-edge AI research with practical software solutions in field of computational neuroscience and brain network analysis.

Arun Kumar P
Cognitive Scientist
PhD Student - Germany

A cognitive scientist who spent a year with our lab gaining hands-on expertise in computational modeling. He is now pursuing his PhD in Neuroscience in Germany, continuing his research journey in brain and cognition.

Doctoral Fellows

Dr. T. Seetam Kumar
Neurointerventionist (MBBS, MD, DM)
2022–2025

Dr. Seetam Kumar (2022–2025) is a Neurointerventionist (MBBS, MD, DM) who completed his DM thesis with our lab. His award-winning thesis, "Network Organization and Memory – A Resting-State Functional Connectivity Study," received a Gold Medal. Dr. Kumar combines clinical expertise with a strong research focus in neurointervention and cognitive network analysis.

Dr. Utkarsh Yadav
Interventional Neuroradiologist
2023–2026

Dr. Utkarsh Yadav (2023–2026) is an accomplished Interventional Neuroradiologist who completed his DM thesis titled "Role of Resting-State Connectivity in Predicting Postoperative Outcomes in Glioma Patients." A clinician-scientist with a modern approach to neuroradiology, he is deeply committed to integrating cutting-edge research with patient care. He combines clinical expertise with a strong research focus to advance diagnostic and therapeutic strategies in neuro-oncology.

Research Interns

Susreeti Sur
Research Scholar
University of North Bengal, WB

Susreeti Sur is a research scholar in Department of Computer Science and Technology, University of North Bengal, WB working on the application of Artificial Intelligence in neuroscience, MRI thermometry, and medical image processing. She learned FMRI techniques during her internship in our lab.