Dipanjan Roy (Ph.D.)
Associate Professor and DBT Ramalingaswami fellow
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 to computational models and methods pertained to learning, Perception, Working memory, Aging, and Multisensory processing..… Read Full Bio
Moumita Das (Ph.D.) (Postdoctoral Research Associate)
Moumita did her Ph.D. work from Indian Statistical Institute and currently doing her research in developing statistical methods and models to understand resting state and task fMRI data in the context of aging and development. Designing benchmark statistical tools based on nonlinear time series analysis and Bayesian approach to understanding the relationship between neuronal activity recorded using EEG, MEG and the metabolic hemodynamic response recorded using fMRI.
Shubham Kumar (Ph.D.) (Postdoctoral Research Associate)
Shubham did his Ph.D. work from the Polytechnic University of Catalunya Barcelona in nonlinear dynamics and currently doing his research in Perceptual decision making and learning using EEG recordings and modeling oscillatory network dynamics. For instance, time-series data from real-time EEG recordings of a subject performing a certain cognitive task can be very effectively processed by machine learning algorithms, leading to the design of more accurate and even predictive models of brain functioning. Such techniques could be very effective in tasks involving simple cognitive, perceptual or decision making tasks. Thus by this integrated machine learning and nonlinear dynamical system approach, many novel experiments could be designed, each revealing different functional aspects of the brain, which together would help in the eventual understanding of the big picture, that is, the dynamics of consciousness.
Abhishek Narvaria (Ph.D. student)
Abhishek completed his master’s degree from CBCS Allahabad University. Currently, he is working on behavioral experiments to study the relationship between top-down attention and working memory. In particular, he is interested in the theory of divergence and convergence zones in the brain. His longterm interest is to understand the neural dynamics to uncover the role of attention in memory in the human brain using EEG and fMRI.
Vanshika Singh (Ph.D. student)
Vanshika has completed her B.Tech in Biotechnology from Apeejay Stya University, Gurgaon. Currently, she is working on individual subject related idiosyncrasy observed in the aging brain while processing naturalistic stimuli. She is also trying to develop a functional parcellation scheme based on intersubject synchronization. Her longterm interest is to understand the neural dynamics of speech and language processing areas and their overlap across subjects during naturalistic stimulus processing in the human brain and quantify the variability of observed patterns using functional MRI.
Azman Akhtar (Masters thesis)
Azman did his Bachelor degree in Zoology from- AMU. Currently, he is doing a masters thesis in Indian bilinguals by carrying out behavioral experiments using lexical decision and word discrimination paradigms. His longterm interest is to understand the neural dynamics of language processing in the brain using EEG/fMRI in bilingual population.
Fahd Yazin (Project Assistant)
Fahd did his Bachelor of Medicine and Bachelor of Surgery- Calicut University, Kerala. He did an internship following his MBBS. Currently, he is working in understanding episodic memory retrieval and encoding using behavioral experiments along with Brain signal recording using EEG, fMRI. His longterm interest to understand memory in the context of aging, development, and learning.
Vivek Sharma (Project Assistant)
Vivek did his bachelors in Zoology (Hons) from Dyal Singh College (Delhi University) and Masters in Biochemistry From Jamia Millia Islamia. He is interested in Computational Biology and currently working on the overlap between MEG resting state and task networks on healthy aging using Source Localization methods.
Govinda Surampudi (MS research)
IIIT Hyderabad (Jointly with Dr. Avinash Sharma)
Multiscale diffusion kernels and machine learning techniques to learn functional connectivity features in the Human Cortex
Govinda 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.
Anirudh Vattikonda CNRS France
Shruti Naik Neurospin France
Amit Jaiswal Electa Finland
Bikash Sahoo Rutgers University New Jersey
Vatika Harlalka Facebook
Short term visitors and summer interns
Leesa Joyce IISER Mohali MSc Dissertation (August 2018- Present)
Lipika Taneja IISER Mohali Summer Intern 2018
Manasi Malik IIIT Delhi Summer Intern 2018