Keun Soo YIM
K. S. Yim is an experimental computer scientist working as a software engineer (technical lead) at Google. His current research interests include reliability, quality, security, and productivity techniques for software development (e.g., video-on-demand, IoT client, web, big data, and machine learning applications). KS holds 30+ United States patents on intelligent management of mobile and cloud systems and has published 18+ technical papers in top-ranked journals and conferences. He obtained his Ph.D. degree in computer science from the University of Illinois at Urbana-Champaign. Dr. Yim has served as co-chair of the industry track of three international symposia (in software reliability and dependable computing) and has also served on multiple program committees of international conferences and workshops (in 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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The Task-oriented Queries Benchmark (ToQB)
arXiv:2406.02943 (2024)
Assessment of Security Defense of Native Programs Against Software Faults
System Dependability and Analytics, Springer (2023)
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)
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
The Rowhammer Attack Injection Methodology
In Proceedings of the IEEE Symposium on Reliable Distributed Systems (SRDS) (2016), pp. 1-10
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
