معرفی
Garud N. Iyengar is the Avanessians Director of Columbia University's Data Science Institute (DSI) and a Professor of Industrial Engineering and Operations Research at The Fu Foundation School of Engineering and Applied Science. He leads over 400 affiliated faculty in DSI's research and education initiatives and co-leads Columbia's Artificial Intelligence Initiative. His research focuses on control systems, machine learning, and optimization, with applications in power systems, supply chains, causal inference, and cellular processes. He holds two patents and has authored over 90 publications.
Education: BTech in Electrical Engineering from IIT (1993), PhD in Electrical Engineering from Stanford (1998). Leadership roles include Senior Vice Dean for Research at Columbia Engineering (2021-2024), department chair (2013-2019), and DSI Associate Director for Research (2017-2019). His work has been funded by NSF, ONR, and DOE.
Research interests span optimization theory, machine learning applications, and interdisciplinary systems analysis. Notable projects include game-theoretic logistics modeling, blockchain in supply chains, and cellular information processing. Awards include INFORMS Fellow (2018) and Amazon Scholar (2019-2024).
Grants and advising: Extensive funding history across energy systems, AI, and operations research. Active in mentoring and shaping DSI's postdoctoral and seed funding programs. Collaborates on technologies like SmartGraph AI databases and interpretable decision systems.
Labs/Teams: Core contributor to DSI's interdisciplinary research ecosystem, leading teams in AI, optimization, and data-driven decision making. Involved in multi-disciplinary initiatives bridging engineering, computer science, and life sciences.
