About me

I am Heejin Park, a Ph.D. candidate at Purdue University, working in XSEL advised by Prof. Felix Xiaozhu Lin. My research interests lie primarily in system software including Operating Systems. Particularly, I am focusing on building systems for trustworthy yet fast on-device computation in the mobile/edge environments, such as stream analytics and ML inference.

I am on job market. If you are interested, feel free to contact me. CV


Education

  • Doctoral Student in Electrical and Computer Engineering
    Purdue University, West Lafayette, Indiana, United States (2016 - )
  • M.S. in Computer Science
    University of Seoul, Seoul, South Korea (2013 - 2015)
  • B.S in Computer Science and Engineering
    University of Seoul, Seoul, South Korea (2008- 2013)

Publications

  • Safe and Practical GPU Acceleration in TrustZone
      Heejin Park, and Felix Xiaozhu Lin
      preprint. arXiv:2111.03065, Nov, 2021 [Paper]
  • TinyStack: A Minimal GPU Stack for Client ML
      Heejin Park, and Felix Xiaozhu Lin
      will appear in ASPLOS, Mar. 2022 [Paper (tentative)]
  • StreamBox-TZ: Secure Stream Analytics at the Edge with TrustZone
      Heejin Park, Shuang Zhai, Long Lu, and Felix Xiaozhu Lin
      in Proc. USENIX ATC, Jul. 2019 [Paper] [Slides]
  • StreamBox: Modern Stream Processing on a Multicore Machine
      Hongyu Miao, Heejin Park, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, and Felix Xiaozhu Lin
      in Proc. USENIX ATC, Jul. 2017 [Paper] [Slides]
  • Incremental Redundancy to Reduce Data Retention Errors in Flash-based SSDs
      Heejin Park, Jaeho Kim, Jongmoo Choi, Donghee Lee, and Sam H. Noh
      in Proc. IEEE MSST, May. 2015 [Paper] [Slides]

Poster Presentations

  • Analysis of Incremental Redundancy for Data Retention Error of SSDs
      Heejin Park, Jaeho Kim, and Donghee Lee
      at USENIX OSDI, Oct. 2014