Edmund Yeh

Edmund Yeh is Professor of Electrical and Computer Engineering at Northeastern University, with a courtesy appointment in the Khoury College of Computer Sciences. He has previously held faculty positions at Yale University and visiting roles at MIT, Stanford, Princeton, UC Berkeley, NYU, EPFL, and National Taiwan University. His research spans networking, distributed systems, and data-centric computing, with strong emphasis on edge computing, caching, network coding, and interdependent infrastructure resilience.

His research interests include:

• Networking and systems for data-intensive engineering, science, and health applications
• Caching, fog/edge computing
• Networked distributed learning
• Wireless network optimization
• Coding for low latency, network coding, polar codes
• Interdependent networks, cascading failure, information dissemination
• Network economics

Recent publications show a strong focus on joint optimization of caching, routing, and computation in edge and data-centric networks, emphasizing low-latency, energy efficiency, and robustness. His work often integrates machine learning with networking, particularly in federated and distributed learning systems under communication constraints.

His scientific honors include:

• Best Paper Awards at WiOpt (2023), ICN (2017), ICC (2015), and ICUFN (2012)
• Best Poster Award at IPSN (2023)
• IEEE Communications Society Distinguished Lecturer (2021–2022)
• Alexander von Humboldt Research Fellowship
• Army Research Office Young Investigator Award
• Winston Churchill Scholarship
• National Science Foundation and ONR Graduate Fellowships

Prof. Yeh has led or participated in over $38 million in funded research from NSF, DARPA, DTRA, and industry partners such as Cisco, Intel, and Raytheon. He has served as PI or co-PI on major projects including the Named Data Networking (NDN) initiative, SANDIE, N-DISE, and the PAWR Project Office. He mentors numerous graduate students and collaborates extensively with researchers in networking and machine learning. He also contributes to the broader community through editorial roles and service on U.S. National Academies panels.

He is actively involved in research labs and collaborative teams focused on data-centric networking, edge computing, and resilient infrastructure systems.