Dipanjan Roy (Ph.D.)

Associate Professor and DBT Ramalingaswami fellow 

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Principal Investigator – Dipanjan Roy

Dipanjan Roy currently leads a Cognitive Neurodynamics group focusing on research areas related to Neuroimaging, Brain Connectivity, Multiscale computational modeling, EEG,  fMRI, and behavior. The specific areas in which the group contributes computational models and methods pertained to learning, Perception, Working memory, Aging, and Multisensory processing.. Read Full Bio

Vatika Harlalka (MS by research)

AAEAAQAAAAAAAALnAAAAJGE4MTFkZTE2LWYzMjEtNDYyMy05MmM0LTE4MTdkNTY0ZjEzYwASD functional connectivity at rest using fMRI Simulating large-scale brain network dynamics using mean field models and constrained structural connectivity between brain areas. Simulated BOLD activity is constrained by neuroimaging resting state functional data acquired using fMRI. Designing benchmark simulations to understand the relationship between neuronal activity and metabolic hemodynamic response as measured by fMRI brain signals in Autism Spectrum Disorders (ASD). 


 Snigdha Dagar (MS by research) 

Neuroplasticity and Stroke rehabilitation using joint fNIRS, EEG during tDCS 

How endogenous brain states interact with therapeutic mechanisms where antagonizing these subject-specific maladaptive alterations by regulation of cortical excitability/activity and induction of beneficial plasticity are crucial for re-installing efficient information transfer in the brain during neurorehabilitation. In this perspective article, we propose that innovative technologies of portable electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) neuroimaging will be able to objectively quantify the individual brain state with computational neural mass models in order to understand the impact of Brain State Dependent Electrotherapy (BSDE) in post-stroke rehabilitation.

 Govinda Surampudi (Jointly with Avinash Sharma) (MS by research)

Multiscale diffusion kernels and machine learning techniques to learn functional connectivity features in the Human Cortex 

govindasGovinda is a Research Scholar at IIIT-since July 2015. He graduated from Nirma University, Ahmedabad in computer science in 2013. He has worked at Samsung Research Institute, Noida for 2 years on Android OS and applications. He is interested in Brain-Computer Interface, Computer Vision, and Machine Learning. Currently, he is presently working with CVIT and Cognitive Science Lab at IIIT-Hyderabad on Multiscale diffusion kernel to learn functional connectivity features in the Human Cortex.

Lab Alumni 

Anirudh Vattikonda CNRS and University of Aix-Marseilles France 
IMG_0783 66.8KB
Shruti Naik CNRS, France   
Amit Jaiswal, Electa Finland
Akanksha Gupta 
Short term visitors and summer interns 
Shrey Dutta (NBRC Manesar)
MS (by research) Computer Science (Indian Institute of Technology Madras)

Project Assistant,
Phone: 0124-2845251, Internal extn.  6158

Amba Khare (IIIT Allahabad) B.Tech IIIT Allahabad

 Himadri Agarwal (IIIT Allahabad) B.Tech IIIT Allahabad



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