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Hamed Hassani is an associate professor in the Department of Electrical and Systems Engineering at the University of Pennsylvania, where he also holds a position as a visiting faculty researcher at Google Research in New York City. His research primarily focuses on foundations of Machine Learning and optimization techniques, particularly in areas such as submodular optimization, adversarial training, and robust classification. He has been recognized with multiple awards including the IEEE Information Theory Society James L. Massey Research and Teaching Award for Young Scholars in 2023 and the NSF CAREER Award in 2019. Dr. Hassani aims to enhance the theoretical foundations of learning-enabled optimization and has contributed to prominent conferences such as ICML, NeurIPS, and AISTATS. His academic journey includes being a research fellow and post-doctoral scholar at ETH Zürich, where he engaged in cutting-edge research within the Institute for Machine Learning. Hassani's works involve a variety of collaborations that address practical challenges in machine learning and data science.
University of Pennsylvania • Philadelphia, PA
Primary faculty in the Department of Electrical and Systems Engineering.
Google Research • New York City, NY
Engaged in research collaboration in the fields of AI and machine learning.
ETH Zürich • Zurich, Switzerland
Worked in the Institute for Machine Learning.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.