- Assistant Professor, Computer Science & Engineering
- Phone: 979-458-1904
- Email: khanhtn@tamu.edu
- Office: PETR 229
- Website: Personal Website
Educational Background
- Ph.D., Computer Science, University of California, Los Angeles, 2019
- M.S., Computer Science, University of California, Irvine, 2015
- B.S., Computer Science, University of California, Irvine, 2012
Research Interests
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- Programming Languages
- Compiler & Runtime Support
- Memory Management
- Big Data Systems
Awards & Honors
- Google Ph.D. Fellowship, 2017
- Facebook Ph.D. Fellowship Finalist, 2017
Selected Publications
- Christian Navasca, Cheng Cai, Khanh Nguyen, Brian Demsky, Shan Lu, Miryung Kim, and Guoqing Xu. "Gerenuk: Thin Computation over Big Native Data Using Speculative Program Transformation", Proceedings of the ACM Symposium on Operating Systems Principles (SOSP), 2019.
- Khanh Nguyen, Lu Fang, Christian Navasca, Guoqing Xu, Brian Demsky, and Shan Lu. "Skyway: Connecting Managed Heaps in Distributed Big Data Systems", Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2018.
- Khanh Nguyen, Lu Fang, Guoqing Xu, Brian Demsky, Shan Lu, Sanazsadat Alamian, and Onur Mutlu. "Yak: A High-Performance Big-Data-Friendly Garbage Collector", Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2016.
- Lu Fang, Khanh Nguyen, Guoqing Xu, Brian Demsky, and Shan Lu. "Interruptible Tasks: Treating Memory Pressure As Interrupts for Highly Scalable Data-Parallel Programs", Proceedings of the ACM Symposium on Operating Systems Principles (SOSP), 2015.
- Khanh Nguyen, Kai Wang, Yingyi Bu, Lu Fang, Jianfei Hu, and Guoqing Xu. "Facade: A Compiler and Runtime for (Almost) Object-Bounded Big Data Applications", Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2015.