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Hamed Hassani is an Associate Professor at the University of Pennsylvania's Department of Computer and Information Science. His research focuses on several areas, including submodular optimization applications, machine learning, robustness in neural networks, distributed and federated learning, and modern coding theory, particularly concerning large-scale probabilistic models and graph matching. He has made significant contributions to the academic community through his work on advanced methodologies in these domains and has co-advised doctoral candidates, collaborating on various interlinked projects. His efforts also extend to actionable applications of his research, such as enhancing the safety and efficiency of language models and exploring optimal multitask linear regression strategies. Hamed holds an academic position within a dynamic university environment, fostering innovation and educational development in emerging fields of study.
University of Pennsylvania • Philadelphia, PA
Teaching and conducting research in the fields of Electrical Systems Engineering and Computer Information Science.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.