James Jien-jei Lien Director
Professor, Dept. of CSIE, NCKU

1998 Ph.D, Electrical Engineering, University of Pittsburgh, U.S.A.
1993 M.S., Electrical Engineering, Washington University, U.S.A.
1989 B.S., Biomedical Engineering, Chun Yuan Christian University,

Professional Employment
1999-2002 R&D, L1 Identity Best Face Recognition Company Lead
1995-1998 SCS, Carnegie Mellon University RI

Research Interests
Intelligent Robotics and Automation、Human-Computer Interaction and Augmented Reality、3D Automatic Optical Inspection、Visual Servo Control、Image Processing, 3D Computer Vision and Pattern Recognition、Machine Learning、Embedded System、Intelligent Video Surveillance as a Service VSaaS, Cloud Computing

1.1 Information for Applicants

  1. 16 master students per year - 10 students (from recommendation and screening) + 6 students (from entrance examination):
(1) Recommendation and Screening: Application materials 50% + Interview 50%
  1. Qualification:The applicant is required to have the basic ability of at least one programming type (such as Python, C/C++/C#, Java, R or Matlab, etc.).
  2. Application materials:
    • Transcripts (with proof of ranking)
    • Two reference letters (with the format from NCKU admission system)
    • Autobiography (must contain evidence of interdisciplinary ability or 
    • Study plan (must include application motivation, relevant background or experience, interdisciplinary research expected to invest, future development or employment planning, etc.)
    • Reports, portfolios or other helpful documentation (If the work is a collaboration of more than one person, please indicate the name of the collaborator and the part and responsible percentage).
(2) Entrance Examination:Examination 30% + Application materials 30% + Interview 40%
  1. Examination: Programming
    2021 Examination(in Chinese)
  2. Application materials: same as above
  3. For international student’s application, please visit OIA, NCKU

1.2 Information for Students

  1. Students need to find an advisor (full time or adjunct professor).
  2. Scholarships will be provided to students based on their performance.

1.3 Concepts for the Interdisciplinary Research

  1. The core idea of the program is the AI robotics applications.
  2. The goal is to cultivate talents with interdisciplinary and dual- competency expertise (in AI computing and robotics applications).
  3. The program emphasizes team work, which can train students with system integration ability.
  4. Interdisciplinary courses will be linked to industrial practices.
  5. Part of the courses will cooperate with the industry and invite relevant teachers for cooperation.

2.1 Modularization Courses:Credits and Faculty

  1. Graduation requirement
    1. Elective courses for 24 credits, with the maximum 6 credits from course waiver.
    2. Required course: Seminar (0 credit). Before graduation, students must need to complete Seminar (1) (2) (3) (4).
    3. With agreement from advisors, students are allowed to enroll 6 credits courses from other departments.
    4. Each modularization course will include term project to enhance students' practical ability.

2.2.1 5 Modularization Courses:the relationship between SOC and research centers

2.2.2 5 Modularization Courses:the relationship with AIoT –Computing ABCD


Contact Information

Contact Person:Kacie Liu
TEL:06-2757575 #57000-102
Office Hour: Mon- Fri 8:00~17:00
Office Address: Yun Ping East Building 5F, Office of Miin Wu School of Computing