معرفی
Sudip Vhaduri is an Assistant Professor in the School of Applied and Creative Computing at Purdue University, where he serves as Director of the mobile Artificial Intelligence (mAI) Laboratory. He holds appointments with several Purdue research centers including the Applied AI Research Center (AARC), Center for Education to Research in Information Assurance and Security (CERIAS), Purdue Institute of Inflammation, Immunology and Infectious Disease (PI4D), and the Institute for a Sustainable Future (ISF).
Dr. Vhaduri received his educational training from:
- Ph.D. in Computer Science and Engineering from University of Notre Dame
- M.Sc. in Computer Science from University of Memphis
- B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology
His research focuses on the intersection of artificial intelligence and mobile computing, with particular emphasis on machine learning, deep learning, and federated machine learning approaches. Dr. Vhaduri's work integrates three major application areas: health informatics leveraging smartphone and wearable sensing, continuous user authentication using physiological and behavioral biometrics, and reliable discovery of places of interest using alternative sensor data. His research has been featured in prestigious outlets such as Forbes Magazine.
Dr. Vhaduri collaborates extensively with interdisciplinary researchers from medical and nursing schools at institutions including University of Cincinnati and Indiana University, as well as industrial research institutions like IBM Research. He is an active member of multiple IEEE societies including IEEE Computer Society, IEEE Signal Processing Society, IEEE Geoscience and Remote Sensing Society, and IEEE Engineering in Medicine and Biology Society.
He teaches courses including Machine Learning for Smart Sensing (F'21-F'24), Data Fusion for Machine Learning (S'23-S'24), and Database Fundamentals (S'22-present). Dr. Vhaduri actively seeks highly motivated PhD students for research in ML/DL/FedML, IoT, and Mobile & Wearable Computing, with multiple funded positions available.
