Introduction to Psychophysics with Python (River Publishers Series in Computing and Information Science and Technology) - Tapa blanda

Acerca del autor

Dr. Rakesh Sengupta has been a researcher and Assistant Professor at School of Inter-woven Arts and Sciences, Krea University, Sri City, India since 2025, holding a PhD from the University of Hyderabad (2015). His interdisciplinary background spans developmental and educational psychology, cognitive and computational neuroscience, and creative cognition. With a growing scholarly record (25 publications, 300 citations, h index of 8) and robust collaborations across psychology and brain research communities, he brings both empirical rigor and a multicultural perspective essential for cognitive science. He is actively involved in experiments combining behavioral assessment and neuroscientific measures (e.g., EEG, eye tracking) to explore cognitive faculties in culturally grounded settings.

Madhavilatha Maganti is an Associate Professor of Psychology at Krea University with expertise in Developmental Psychology and Cognitive Science, specializing in infancy and early childhood development. Her research examines developmental trajectories from the neonatal period to early childhood in high-risk and typically developing populations. Using behavioral and computational methods, her lab investigates mother–child interactions, perceptual and attentional processes, and language acquisition, contributing to embodied models of cognition. Additional work includes narrative-based language assessments, and studies on socio-emotional development in children. Further, her work involves functional assessments of children with neurodevelopmental disorders using the World Health Organization’s International Classification of Functioning, Disability and Health for Children and Youth (ICF-CY) framework.Taking this work further, she is involved in developing early childhood development interventions to reduce the impact of risks associated with early adversity. Her long-term objective is to leverage emerging empirical evidence from developmental science to advance translational research and promote scalable, evidence-based practices, with an emphasis on improving developmental outcomes for all children.