Dipanjan Roy
Professor, Centre of Excellence in Brain Science & Applications, School of AI & Data Science
Indian Institute of Technology Jodhpur
Fellow of the National Academy of Sciences India (NASI)
Adjunct Professor, National Brain Research Center, Manesar
Principal Investigator – Dipanjan Roy
Professor Dipanjan Roy leads a Cognitive and Computational Neuroscience group dedicated to understanding how the brain represents time scales, organises large-scale network dynamics, and undergoes connectivity changes underlying attention, memory, perception, and multisensory integration.
The group’s research spans several interconnected domains. On the methodological side, the lab develops and applies neuroimaging approaches — including EEG, MEG, and fMRI — alongside carefully designed behavioural paradigms to investigate perceptual processing, multisensory speech perception, attention, and memory. The lab also places strong emphasis on understanding brain connectivity alterations associated with atypical neurodevelopment and aging, as well as advancing multiscale computational modelling frameworks to interpret these complex neural dynamics.
In terms of scientific questions, the group makes focused contributions across learning, perceptual and sensory processing (both visual and auditory), working and episodic memory, age-related neural changes, and multisensory processing. These contributions cut across computational modelling, experimental design, and stimulus construction, reflecting the lab’s integrated approach to linking brain mechanisms with behaviour. Read Full Bio
PhD students
Jeet Agnihotri (Ph.D. student, CBSA School of AIDE)
Contact: p24ai0201@iitj.ac.in
Jeet holds a B.E. in Information Technology from M.B.M. University, Jodhpur, and an M.Tech. in the same discipline from IIEST Shibpur, Howrah, West Bengal. Driven by a deep interest in neurodiversity — particularly within the autism spectrum — she pivoted to computational neuroscience, where her work centres on understanding how brain organisation differs between typically and atypically developing individuals. Using functional MRI data, she investigates network-level changes in brain connectivity, seeking to identify the structural and functional patterns that underpin neurodevelopmental variation.
Azman Akhtar (Integrated Ph.D. student )
Contact: azman.b17@nbrc.ac.in
Azman holds a B.Sc. in Zoology from Aligarh Muslim University, followed by an M.Sc. in Neuroscience from NBRC, where he went on to complete his Ph.D. as well. His current research investigates the neural correlates of reading across different orthographies in multiliterate individuals, with a particular focus on the anatomical substrates that support this process. He draws on the distinctive linguistic culture of North India, where many readers are equally fluent in Hindi and Urdu — two orthographically distinct scripts used to represent the same spoken language, Hindustani — to probe how the brain adapts to and processes fundamentally different writing systems. Looking ahead, his broader interests lie in unravelling the neural dynamics of language processing and social cognition, using EEG and fMRI methodologies in bilingual populations.
Debottam Bhunia (Ph.D. Student, CBSA School of AIDE)
Contact: p22ai203@iitj.ac.in

Debottam has received his B.Tech in electrical engineering from NIT Durgapur and M.Tech in power electronics and electrical drives from IIT Dhanbad. Riveting the complexity of the human brain, he has steered his research interest in computational neuroscience. His research area centres around developing the large-scale computational models of multisensory perception.
Vinsea AV Singh (Ph.D. student)
Contact: vinseab18@nbrc.ac.in

Perception causes interaction among the neural entities. Vinsea is primarily interested in pre-stimulus neural oscillations to explain the inter-individual and inter-trial variability in perception among the participants subjected to the McGurk illusion (incongruent visual and auditory syllables perceived as a completely different syllable). More precisely, she is studying the differences in the pre-stimulus electrophysiological (EEG) data between the ‘rare’ and ‘frequent’ groups of perceivers of the McGurk effect. Her work focuses on elucidating the role of different brain regions driving multisensory perception and how these brain regions have distinct developmental trajectories leading to differences in the degree of perception at the individual level.
Ankit Yadav (Ph.D. student)
Contact: yadavankit99@gmail.com

Ankit studied zoology in his bachelor’s and master’s. Investigating self and externally directed attention, the interaction between attention and working memory, and dissociation between self versus externally oriented attention, particularly interested Ankit. He is exploring attention dynamics using EEG and fMRI neuroimaging modalities. Apart from research, he likes to play chess.
N Akhila (Ph.D. Student, CBSA School of AIDE)
Contact:
p23ai0001@iitj.ac.in

Akhila did her M.Tech. in Data Science, Amrita Viswa Vidyapeetham, and B.Tech in Computer Science Engineering, AU College of Engineering, Andhra University. Her research revolves around the fascinating intersection of neuroscience and data science. Specifically, she is delving into the intricate dynamics of the brain using heart-brain coupling. In her research, she is using EEG, fMRI, and iEEG to contribute to a multimodal understanding of cognitive processes and their underlying physiological mechanisms. By leveraging multimodal data fusion techniques, she is working towards unveiling patterns and insights that can reveal distinct timescales of brain dynamics underlying cognitive processing.
Abinaya Vairam (Ph.D. Student, CBSA School of AIDE)
Contact:
p22ai001@iitj.ac.in

Abinaya is a working professional and part-time PhD student. Her research revolves around the fascinating intersection of neuroscience and AI/ML. Specifically, she is delving into constructing whole-brain biologically annotated maps in developmental disorders, ASD, and ADHD using multimodal neuroimaging data and state-of-the-art AI/ML techniques for classification and prediction using both human and animal imaging data.
MS and M.Tech research students
Shreya Deb (MS by research student) (Jointly with Dr.Vignesh Muralidharan CBSA)
Contact: r23ab0002@iitj.ac.in

Shreya has done her B.Tech in Electrical and Electronics Engineering from BIT Durg. Currently, she is pursuing an MS(by Research) at the Centre for Brain Science and Application, School of AIDE from the Indian Institute of Technology, Jodhpur. How does the human brain work, what sets it apart from other creatures, and makes humans intelligent beings, and how exactly learning about these things will help develop better artificial intelligence models is what made her choose this field of study.
Swatantra has received his B.Sc. honours in biotechnology and completed his master’s in medical biotechnology and bioinformatics. He is currently pursuing his MS by research at CBSA, School of AIDE, IIT Jodhpur. His research focuses on developing neuroscience methods to study episodic memory processing in naturalistic task conditions and investigating the role of aging in episodic memory dynamics.
Lab Alumni
Short term visitors and summer interns
Vishal Verma 2024 IMSC Chennai
Raj Mishra 2023 BS-MS dual degree IISER Bhopal
Antarjot Kaur 2023 Undergraduate major in Psychology Thapar University
Devanshi Singh 2023 Masters of Neuroscience University of Padua Italy
Rishi Dey Chowdhury 2022 B.Stat ISI Kolkata
Palak Sharma 2022 IIT Gandhinagar
Leesa Joyce 2020 IISER Mohali MSc Dissertation (Currently at LMU Munich)
Titas Sil, IISER Bhopal, Summer Intern 2019 (Currently at University of Oregon, USA)
Lipika Taneja IISER Mohali Summer Intern 2018
Manasi Malik IIIT Delhi Summer Intern 2018 (PhD at Jhons Hopkins University, USA)

























