Daehyeok Kim Receives NSF CAREER Award

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Published:
July 9, 2025
Daehyeok Kim

Dr. Daehyeok Kim has received a Faculty Early Career Development (CAREER) Award from the National Science Foundation (NSF). The NSF CAREER award is a prestigious program that recognizes and supports exceptionally promising junior faculty members who are engaged in both research and education within their areas of expertise. 

The award was given to Dr. Kim based on his research project “Toward Programmable NICs as Multi-Tenant Cloud Resources.” The project aims to develop NicOS, an operating system designed for programmable network interface cards (NICs), which are crucial for efficient data movement in cloud data centers and AI infrastructure. NicOS will enable robust and secure resource sharing and efficient management of these NICs, paving the way for a new "programmable NIC-as-a-service model" in multi-tenant clouds. The project will also integrate its research outcomes into educational programs, offering hands-on experiences for students, and ensure widespread impact through broader dissemination via open-source prototypes and industry partnerships.

Dr. Kim is an Assistant Professor in the Department of Computer Science at UT Austin. He co-leads the UT Networked Systems Research Group and am also a member of the Wireless Networking and Communications Group and 6G@UT. He is a co-PI of the LDOS NSF Expeditions in Computing project. Prior to joining UT Austin, he was a senior researcher at Microsoft Research Redmond. He received his Ph.D. from the Computer Science Department at Carnegie Mellon University.

His research interests include computer networks, operating systems, and distributed systems. Kim's current research focuses on designing new hardware and software systems that make cloud and edge data centers faster, more efficient, and more resilient. His current projects include:

  • Resource management for programmable cloud infrastructure
  • Robust and resilient cellular network infrastructure
  • End-to-end framework for network transport design and implementation
  • Learning-directed operating system
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Research