Koby Hayashi

  • Program Year: 1
  • Academic Institution: Georgia Institute of Technology
  • Field of Study: Computer Science
  • Academic Advisor: Haesun Park
  • Practicum(s): Practicum Not Yet Completed
  • Degree(s):
    M.S. Computer Science, Wake Forest University, 2018; B.S. Computer Science, Wake Forest University, 2016

Summary of Research

Research is focused on algorithms, applications, and software for Constrained Low-Rank Approximations.


Dynamic functional connectivity and individual differences in emotions during social stress. Journal of Human Brain Mapping, 2017 doi:10.1002/hbm.2382, Michael Tobia, Koby Hayashi, Grey Ballard, Christian Waugh, and Ian Gotlib

Parallel Nonnegative CP Decomposition of Dense Tensors. 25th IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2018, Grey Ballard, Koby Hayashi, Ramakrishnan Kannan (All authors contributed equally)

Shared Memory Parallelization of MTTKRP for Dense Tensors. Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP'18, ACM, New York, NY, USA, pp. 393-394, 2018, Koby Hayashi, Grey Ballard, Yuijie Jiang, and Michael Tobia (Extended Abstract)


UPE Computer Science Honors Society. Wake Forest Chapter.

Graduated with Honors in Computer Science, Wake Forest University 2016.
Magna Cum Laude, Wake Forest University 2016.