Keun Soo YIM

Keun Soo YIM

K. S. Yim is an experimental computer scientist and system architect currently working as a software engineering leader at Google. His research interests include reliability, quality, analysis, security, and productivity techniques for software development. This encompasses areas such as GenAI infrastructure, IoT client applications, web technologies, big data, machine learning applications, and the TPU platform. KS holds over 30 United States patents related to intelligent management of mobile and cloud systems, and he has published more than 18 research papers in top-ranked journals and conferences. He obtained his Ph.D. in computer science from the University of Illinois at Urbana-Champaign. Dr. Yim has served as co-chair for the industry track of three international symposia focusing on software reliability and dependable computing. He has also been a member of multiple program committees for international conferences and workshops in areas like fault-tolerant computing, software engineering, computer systems, and parallel and distributed computing. Dr. Yim is a senior member of IEEE.
Authored Publications
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TREBLE: Fast Software Updates by Creating an Equilibrium in an Active Software Ecosystem of Globally Distributed Stakeholders
Iliyan Batanov Malchev
Andrew Hsieh
Dave Burke
ACM Transactions on Embedded Computing Systems, 18(5s) (2019), 23 pages
A Taste of Android Oreo (v8.0) Device Manufacturer
Iliyan Batanov Malchev
Dave Burke
ACM Symposium on Operating Systems Principles (SOSP) - Tutorial (2017)
The Rowhammer Attack Injection Methodology
In Proceedings of the IEEE Symposium on Reliable Distributed Systems (SRDS) (2016), pp. 1-10
Evaluation Metrics of Service-Level Reliability Monitoring Rules of a Big Data Service
In Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE) (2016), pp. 376-387
Characterization of Impact of Transient Faults and Detection of Data Corruption Errors in Large-Scale N-Body Programs Using Graphics Processing Units
IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE International Parallel and Distributed Processing Symposium (IPDPS) (2014), pp. 458-467
Norming to Performing: Failure Analysis and Deployment Automation of Big Data Software Developed by Highly Iterative Models
IEEE International Symposium on Software Reliability Engineering, IEEE International Symposium on Software Reliability Engineering (2014), pp. 144-155
HTAF: Hybrid Testing Automation Framework to Leverage Local and Global Computing Resources
David Hreczany
Ravishankar K. Iyer
Lecture Notes in Computer Science, 6784 (2011), pp. 479-494