Parallel and Distributed Computing Laboratory

Dept. of Computer Science & Information Engineering
National Central University, Taiwan

Location: Building E6, Room A309

The members of the Parallel and Distributed Computing Laboratory (PaDiC Lab) focus on the research issues of parallel and distributed computing, in particular distributed programming and cloud/grid computing. We are also studying and working on the related areas, such as Fault Tolerance and High Availability for Virtual Machines, Cloud/Edge Computing, Smart Manufacturing, Scientific Computing, and Data Hiding.
Our research interests include but are not limited to the following topics:
  • Fault Tolerance and High Availability for Virtual Machines
  • Cloud/Edge Computing
  • Smart Manufacturing
  • Scientific Computing
  • Data Hiding
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實驗室成員

Director

Wei-Jen Wang

Professor, Director

Ph.D Student

Mickey (Min-Yi) Tsai

Ph.D Student

Hong-Pei Chen

Ph.D Student

Second Year Graduate

Yung-Chi Li

Master's student

Yu-Hsuan Lin

Master's student

Yu-Jie Lin

Master's student

Kai-Jie Yang

Master's student

Jing-Cheng Tsai

Master's student

Peng-Sheng Chen

Master's student

Guan-Yu Chen

Master's student

First Year Graduate

Cheng-Wen Cheng

Master's student

Da-Wei Jiang

Master's student

You-Sheng Wu

Master's student

Jia-Hong Zhuo

Master's student

Ying-Shuo Jiang

Master's student

Courses

      Fall 2024
    • (CE1001-A) Introduction to Computer Science I
      Previous Courses
    • (CE1001-A) Introduction to Computer Science I, (CE1003-A) Introduction to Computer Science Lab I, (CE5049) Introduction to Grid Computing, (CE1002A) Introduction to Computer Science II, (CE1004-A) Introduction to Computer Science Lab II, (CE3002-A) Operating System, (SE6023) Introduction to Cloud Computing, (CE6132) Advanced Distributed Computing Models, (CE6002) Computer Science Seminar, (CE3061) Advanced Java Programming, (SE6031) VM Core Technology for Industry PC, (CE3068-*) Cloud Service Security

publication List

Publication List

Open Source Projects