Mr. Thonglek's talk at ICMLA 2020

Mr. Kundjanasith Thonglek (Tem), a first-year doctoral student at SDLab presented the follwing paper at the 19th IEEE International Conference on Machine Learning and Applications (ICMLA 2020)

Mr. Watanakeesuntorn's talk at ICPADS 2020

Mr. Wassapon Watanakeesuntorn (Boom), a second-year doctoral student at SDLab presented the following paper at the 26th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2020):

Three master's students have joined SDLab

Following three master’s students have joined SDLab. Welcome!

Mr. Watanakeesuntorn and Mr. Thonglek attended the RIKEN HPC Summer School

Mr. Wassapon Watanakeesuntorn and Mr. Kundjanasith Thonglek attended the “RIKEN International HPC Summer School 2020 - Toward Society 5.0 -" held by the RIKEN Center for Computational Science (R-CCS) from September 28 to 30, 2020.

Mr. Thonglek received his master's degree

Mr. Kundjanasith Thonglek has received his master’s degree in engineering. He will continue his research at SDLab and pursue his PhD. Congratulations!

Mr. Li participated in Google Summer of Code 2020

Mr. Guoqing Li, an intern at SDLab, participated in the Google Summer of Code 2020 (GSoc 2020) program from June 1 to August 24, 2020, and officially completed it. Mr. Li contributed to the libvirt project (a library to manage diverse virtualization platforms through a unified API), and extended and improved the libvirt plugin for SaltStack. See here for an overview of his work and here for his final report.

Mr. Thonglek's Master's Thesis Defense

Mr. Kundjanasith Thonglek, a master’s student at SDLab, presented his research to his thesis committee on August 24th, 2020.

Mr. Thonglek's research presentation at IJCNN2020

Mr. Kundjanasith Thonglek presented the following paper at International Joint Conference on Neural Networks (IJCNN) of IEEE Word Congress on Computational Intelligence (WCCI) 2020. Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano and Hajimu Iida, “Retraining Quantized Neural Network Models with Unlabeled Data”, International Joint Conference on Neural Networks (IJCNN 2020), Jul. 2020. In this paper, we focus on the fact that we cannot always access the original labeled datasets because of privacy policies and license limitations.

Mr. Guoqing Li gave a talk

Mr. Guoqing Li, who has been staying at our lab as an internship student, presented his work on April 13, 2020. Mr. Li is an undergraduate student at Chiang Mai University, Thailand, and he has been working on a research internship at our lab since January this year. Mr. Li’s research topic is entitled “Comparative Performance Study of Cloud Native Hypervisors.” He conducted an extensive performance evaluation of emerging container runtimes and hypervisors that provide better isolation than conventional container runtimes.