SOURAJIT DAS

Hello! I am a Postdoctoral Researcher at Pennsylvania State University, working with Prof. Romit Maulik, where my research focuses on reinforcement learning for dynamical systems and scientific machine learning. My work aims to develop scalable, data-driven learning frameworks for modeling, control, and decision-making in complex physical and engineered systems.

I earned my PhD in Electrical and Systems Engineering from the University of Pennsylvania, where my dissertation explored Graph Neural Networks (GNNs) for multi-agent communication systems. During my PhD, I was a Graduate Research Assistant at AleLab, advised by Prof.  Alejandro Ribeiro, and worked on state-augmented routing, communication-aware control, and graph-based decision-making in wireless networks and multi agent systems.

My research has been supported by large interdisciplinary initiatives, including projects sponsored by the Department of Energy (DOE), Intel Science and Technology Center (ISTC) on Wireless Autonomous Systems (WAS), Simons Institute and the Army Research Laboratory (ARL) through the Distributed and Collaborative Intelligent Systems (DCIST) program. Across these efforts, I have developed methods that bridge graph based learning, signal processing, control theory, and wireless communication, with an emphasis on real-world deployment and scalability. My publications list can be found here and my github profile here. 

Prior to my work in machine learning and dynamical systems, I was a Graduate Student Fellow at the Singh Center for Nanotechnology, where I designed and fabricated Organic Thin-Film Transistors (OTFTs) and solar cells, gaining hands-on experience in nanofabrication, device characterization, and cleanroom processes.

My broader research interests include deep reinforcement learning for dynamical systems, scientific machine learning, graph signal processing, wireless communication networks, multi-agent systems, and distributed optimization. I enjoy working on problems that combine applications, algorithms, systems, and a bit of theory to back it. I am always open to research collaborations and discussions with people from different aspects of science and engineering.