People

Dipanjan Roy

Associate 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

Dipanjan Roy currently leads a Cognitive and computational Neuroscience group focusing on understanding representation of time-scales, large-scale brain network dynamics, and brain connectivity alterations in attention, memory, perception, and multisensory integration. His lab primarily focuses on research areas related to Neuroimaging methods and data generation process during experiments, Brain Connectivity patterns in atypical neurodevelopment and aging, Multiscale computational modeling, EEG, MEG, fMRI, and behavioral studies about perceptual processing, multisensory speech perception, attention, and memory processing. The specific areas in which the group contributes to computational modeling, experiments, and stimulus design pertained to questions related to learning, Perceptual and sensory processing (visual and auditory), working and episodic memory, Aging, and Multisensory processing. Read Full Bio

PhD students

Jeet Agnihotri (Ph.D. student, CBSA School of AIDE)
Contact: p24ai0201@iitj.ac.in

Jeet earned her B.E. in Information Technology from M.B.M. University, Jodhpur, followed by an M.Tech. in Information Technology from IIEST Shibpur, Howrah, West Bengal. Motivated by her interest in neurodiversity, particularly within the autism spectrum, she transitioned into the field of computational neuroscience. Her research focuses on characterizing network-level alterations between typically and atypically developing brains through the analysis of functional MRI (fMRI) data, with the aim of uncovering connectivity patterns that underlie neurodevelopmental differences.

Azman did a BSc in Zoology from Aligarh Muslim University. He continued to do a PhD after an MSc in Neuroscience from NBRC itself. Currently, he is interested in understanding the neural correlates of reading in different orthographies by multiliterates and the underlying anatomical characteristics. He is utilizing the unique culture of North Indians to read and write two distinctly different orthographies, Hindi and Urdu, for the same language, Hindustani. His long-term interest is to understand the neural dynamics of language processing and social cognition in the brain, using EEG/fMRI 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.

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 a difference in the degree of perception at the individual level.

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.

Jointly supervised with Dr.Dip Sankar Banerjee
Contact: rastogi.1@iitj.ac.in/https://sites.google.com/view/krastogi

Kopal completed her Master’s degree in Computer Science and Engineering from PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India. She is passionate about bridging the realms of computer science and neuroscience, which in turn is driven by a profound curiosity about the workings of the human brain. She has embarked on a transformative journey into the emerging field of Neuro-AI, where cutting-edge technologies intersect with the complexities of the brain. Her main research interest is recognizing the patterns in the neural data leading to critical insights about human intelligence.

N Akhila (Ph.D. Student, CBSA School of AIDE)
Contact: p23ai0001@iitj.ac.in

WhatsApp Image 2024-02-01 at 10.14.08 AM

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.

MS and M.Tech research students

Shreya Deb (M. 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.

Sireejaa has received her B.Tech in Computer Science Engineering from NIT Goa and is currently pursuing her M.Tech in CSE at IIT Jodhpur. Her research focuses on the intersection of data science and neurology, which is significant given the importance of their convergence. She is particularly interested in understanding the brain functions. At the same time, she is gaining insights into the phases of brain dynamics that are critical for cognitive processing and demonstrating patterns using multimodal data fusion approaches.

Swatantra Dhara (MS by research student)

Contact: r23ab0003@iitj.ac.in

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.