معرفی
Sayan Mandal is a Researcher at the Jülich Supercomputing Center (JSC), Forschungszentrum Jülich, Germany, and is pursuing his Ph.D. in Electrical and Computer Engineering from the University of Iceland in collaboration with the 'AI and ML for Remote Sensing' Simulation and Data Lab at JSC.
- B.Tech. in Computer Science from University of Petroleum and Energy Studies, India (2017)
- M.Sc. in Computer Science (major: Machine Learning, minor: Visual Computing) with distinction from Technical University of Graz, Austria (2024)
Prior to his master's, he worked for over 4 years in computer vision at two leading Indian startups. His master's thesis involved a Student Project Assistant role in the FutureWoods Project at ICG, TU Graz, Austria, funded by FFG - Austrian Research Promotion Agency and the Vienna Scientific Cluster supercomputer.
His research focuses on robust deep learning models for remote sensing applications, foundation models, and AI efficiency using HPC systems. He also serves as a reviewer for IEEE Access.
