معرفی
Shamim Pakzad is a Professor and Chair of the Department of Civil & Environmental Engineering at Lehigh University. He leads the Center for Advanced Technology for Large Structural Systems (ATLSS), focusing on structural health monitoring (SHM) using wireless sensor networks. His research emphasizes damage detection in bridges, system identification, signal processing, and probabilistic methods for assessing structural reliability. He holds a Ph.D. from UC Berkeley, an M.S. from San Jose State University, and a B.S. from The Baha’i Institute for Higher Education in Iran.
His work integrates advanced technologies like AI, machine learning, and mobile sensing to revolutionize infrastructure monitoring. Notable contributions include deploying large-scale wireless sensor networks on bridges and developing frameworks for bridge condition assessment using graph neural networks. His research has been highlighted in The Economist and spans interdisciplinary areas such as disaster management, fatigue life estimation, and reinforcement learning for structural control.
Pakzad’s publications frequently address crowdsourcing vibration data from vehicles, compressive sensing strategies for damage diagnosis, and fusion of experimental data with physics-based models. He collaborates on projects like the RL-Controller framework for active structural control and DynNet, a physics-informed neural network for structural response modeling.
His academic service includes advising students (details available via his profile) and leadership roles in advancing civil engineering education and research. Current focuses include AI-driven lifecycle assessment strategies and bridging gaps between sensor data and infrastructure resilience.
