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Learning Psychology at Krea is an active process of discovery not only of the world around us, but also of ourselves. This journey of self-discovery is grounded in scientific inquiry, encouraging students to ask questions, evaluate evidence, design studies, interpret data, and communicate ideas with clarity and precision. Rather than simply learning psychological concepts, students come to appreciate how psychological knowledge is generated, challenged, and applied to understand individuals, communities, and society.
From the early years of the programme, students begin to engage in laboratory research, delve into community-based projects, and learn to work on independent projects under close faculty mentorship.
Such kind of learning experiences provide ample opportunities for hands-on training in research design, behavioural observation, experimentation, statistical analysis, and scientific communication, enabling students to develop the capacity to think critically, reason from evidence, embrace complexity, and apply psychological science to address challenges in education, healthcare, technology, public policy, industry, and community development.
Whether pursuing research, professional practice, or careers beyond Psychology, students’ intellectual curiosity is transformed into discovery, preparing students not only to understand the human mind but also to contribute to solving real-world challenges.
Computational Cognition Laboratory: Dr Rakesh Sengupta
Computational Neuroscience and Mathematical Cognitive Modelling, Numerical Cognition and Dyscalculia, Visual Working Memory and Attention, Temporal Cognition, Social Cognition and Network Topology
Cognitive Biology & Biolinguistics Laboratory: Dr Sayantan Mandal
Phonological Theory & the Biolinguistic Architecture, Neurobiology of Natural Language, Natural Selection and Social Theory, Genetics and Molecular Biology of Speech and Language, Neurotechnology and Assistive Communication
Developmental Neurocognition Lab: Dr Madhavilatha Maganti
Early Identification, Multimodal Attention, and Developmental Assessment in At-Risk Infants, Early Language Acquisition, Bilingualism, and Computational Models of Communication; Caregiving, Culture, Resilience, and Development in Low-Resource Contexts; Psychophysics, Experimental Cognition, and Behavioral Neuroscience; Translational Developmental Science and Scalable Early Childhood Interventions
Critical Clinical Psychology: Dr Sabah Siddiqui
Gender, Culture, and Psychopathology, Community Approaches to Mental Health
Decolonising Psychology, History of Psychology, Psychology of Religion, Psychoanalysis of Religion, Psychology of Social Movements, Working with Older Populations, Psychoanalysis and Senescence
The Computational Cognition Laboratory, led by Dr Rakesh Sengupta, develops mathematical and computational models of perception, memory, attention, language, and social cognition, tested through psychophysics and EEG. The lab integrates recurrent neural network modelling, complexity theory, and empirical work with Indian populations across cognition, language, and machine intelligence.
The Cognitive Biology and Biolinguistics Laboratory, led by Dr Sayantan Mandal, investigates the biological foundations of mind and language at the intersection of Universal Grammar, the Minimalist Program, the Computational Theory of Mind, and evolutionary biology. We treat language as a species-specific biological object and human cognition as a structured product of natural selection, interpreting neural data within Marr’s tri-level framework and approaching human social behaviour within the sociobiological tradition of Wilson and Trivers.
Our empirical toolkit spans EEG and NIRS neuroimaging, translational genetics, computational modelling, and assistive neurotechnology, with a sustained focus on Indian language families as an underexploited testing ground for claims about linguistic and cognitive universals. The laboratory collaborates closely with Dr. Rakesh Sengupta’s Computational Cognition Laboratory and with Prof. Madhavilatha Maganti’s programme on early child development. Students and collaborators engage with questions at the frontier of biolinguistics and cognitive science while contributing to research of direct relevance to Indian populations.
The Developmental Neurocognition Lab led by Dr Madhavilatha Maganti was established through collaboration with the Department of Neonatology at Dr Ram Manohar Lohia Hospital and Atal Bihari Vajpayee Institute of Medical Sciences. The lab represents one of the few research-active infant laboratories embedded within a public tertiary care setting in India and was developed to create an integrated translational platform for studying infant and child development across clinical, community, and culturally diverse contexts.
The lab combines approaches from developmental science, cognitive neuroscience, psychophysics, developmental linguistics, computational modelling, and implementation science to examine how early neurocognitive processes are shaped by psychosocial and environmental contexts. A major emphasis of the lab is on developing scalable and culturally grounded approaches for early identification, developmental assessment, and intervention in low-resource settings.The major lines of work at the Developmental Neurocognition Lab are outlined below.
The Computational Cognition Laboratory, led by Dr Rakesh Sengupta, develops mathematical and computational models of perception, memory, attention, language, and social cognition, tested through psychophysics and EEG. The lab integrates recurrent neural network modelling, complexity theory, and empirical work with Indian populations across cognition, language, and machine intelligence.
The Cognitive Biology and Biolinguistics Laboratory, led by Dr Sayantan Mandal, investigates the biological foundations of mind and language at the intersection of Universal Grammar, the Minimalist Program, the Computational Theory of Mind, and evolutionary biology. We treat language as a species-specific biological object and human cognition as a structured product of natural selection, interpreting neural data within Marr’s tri-level framework and approaching human social behaviour within the sociobiological tradition of Wilson and Trivers.
Our empirical toolkit spans EEG and NIRS neuroimaging, translational genetics, computational modelling, and assistive neurotechnology, with a sustained focus on Indian language families as an underexploited testing ground for claims about linguistic and cognitive universals. The laboratory collaborates closely with Dr. Rakesh Sengupta’s Computational Cognition Laboratory and with Prof. Madhavilatha Maganti’s programme on early child development. Students and collaborators engage with questions at the frontier of biolinguistics and cognitive science while contributing to research of direct relevance to Indian populations.
The Developmental Neurocognition Lab led by Dr Madhavilatha Maganti was established through collaboration with the Department of Neonatology at Dr Ram Manohar Lohia Hospital and Atal Bihari Vajpayee Institute of Medical Sciences. The lab represents one of the few research-active infant laboratories embedded within a public tertiary care setting in India and was developed to create an integrated translational platform for studying infant and child development across clinical, community, and culturally diverse contexts.
The lab combines approaches from developmental science, cognitive neuroscience, psychophysics, developmental linguistics, computational modelling, and implementation science to examine how early neurocognitive processes are shaped by psychosocial and environmental contexts. A major emphasis of the lab is on developing scalable and culturally grounded approaches for early identification, developmental assessment, and intervention in low-resource settings.The major lines of work at the Developmental Neurocognition Lab are outlined below.
Faculty members are drawn from the best universities across the world and are a fine blend of academic expertise, combined with robust research credentials. Each year over 100 peer-reviewed publications published, combining rigorous scholarship and industry-linked expertise to guide PhD research across disciplines.
The pathway to becoming an able researcher seeks a blend of curiosity, critical thinking, perseverance, resilience and to top it all, a knack of handling uncertainty, and the Krea PhD scholars are all of these and more. They are driven with a singular aim to contribute to the welfare of humanity through academia, research, and industry.
Let’s help you take the first step into the Kreaverse. We encourage you to explore the various facets of the admissions process in-depth, and reach out to us in case of any queries. We are here to help.
