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Andreas Haeberlen is a Professor in the Department of Computer and Information Science at the University of Pennsylvania. His research focuses on distributed systems, advancing techniques that enhance performance and reliability in complex environments. Haeberlen has contributed significantly to the field through his work on synchronous data centers, resilient cyber-physical systems, and secure network provenance. His notable publications include studies on running distributed systems and modeling metastability, addressing the challenges and failures in data-center systems. In addition, he has explored federated analytics and its implications for querying sensitive data spread across multiple parties. With numerous publications and ongoing projects, Haeberlen is dedicated to addressing the core challenges in the systems domain and pushing the boundaries of cloud computing capabilities. He actively collaborates with students and other researchers, contributing to advancements in multi-robot systems and cloud services.
University of Pennsylvania • Philadelphia, PA
Teaching and conducting research in computer and information science.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.