PhD student, Rensselaer Polytechnic Institute, Department of Mechanical, Aerospace and Nuclear Engineering
His current research interests include structural health monitoring, time-series analysis, UAV fault detection and damage identification, and thermal-field reconstruction for wire-arc additive manufacturing. His work involves statistical modeling, Bayesian inference, physics-informed neural networks, time-series foundation models, and inverse parameter identification. He is also interested in reinforcement learning, multi-robot systems, uncertainty quantification, and quantum-enhanced methods for engineering inverse problems.
Mr. Shinan is a PhD student at Rensselaer Polytechnic Institute in the Department of Mechanical, Aerospace, and Nuclear Engineering. He is affiliated with the Intelligent Structural Systems Laboratory (ISSL), where he conducts research on structural health monitoring for unmanned aerial vehicles and advanced manufacturing systems. He serves as a student lead on a DARPA-sponsored project, coordinating research tasks, technical discussions, and the integration of results across different project components. He also collaborates with IBM on time-series foundation models and quantum-enhanced computational methods. He holds a master’s degree from the National University of Singapore, where he studied reinforcement learning for multi-robot path planning. His research has received 145 citations