Satarupa Chakrabarti

Satarupa Chakrabarti is a Digital Futures Postdoctoral Research Fellow at KTH Royal Institute of Technology, based in the Computational Brain Science group within the Division of Computational Science and Technology. She holds a PhD in Computer Science from KIIT Deemed to be University, India, and previously worked as a Junior Research Fellow with DST-SERB, India. Her research focuses on biomedical engineering, signal processing, machine learning, and space physics, with a particular emphasis on developing brain activity-based biomarkers for Parkinson’s disease diagnosis and prognosis.

Her academic background includes interdisciplinary projects on biomedical signal analysis, pediatric epilepsy detection, and power system fault localization. She collaborated with multidisciplinary teams at KTH, contributing to innovations in healthcare technology and smart societal solutions. Her postdoc project (2020–2022), funded by Digital Futures, aimed to extract temporal features from brain activity to improve PD diagnosis, leveraging machine learning advancements. Supervised by Professors Arvind Kumar and Saikat Chatterjee, her work bridges computational science and clinical applications.

Publications span biomedical engineering (e.g., pediatric seizure detection), electrical engineering (HVDC fault localization), and space physics (ionospheric plasma analysis). Her contributions highlight machine learning applications across diverse domains. No scientific awards were explicitly mentioned. She is affiliated with Digital Futures, a cross-disciplinary center jointly established by KTH, Stockholm University, and RISE.