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

Educations
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. 19 master students per year - 12 students (from recommendation and screening) + 7 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 
      potential)
    • 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), and discuss with their advisors about their interdisciplinary topic, then find a co-advisor (or more) for interdisciplinary research.
  2. Students will work together on their interdisciplinary research with their advisors and co-advisors.
  3. 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 is 1.5 credits (3 hours per week *9 weeks).
    5. Each modularization course will include term project to enhance students' practical ability.
  2. Faculty
    1. The interdisciplinary faculty consists of 28 professors with rich practical experience in the field of AI or/and robotics.
    2. The interdisciplinary faculty are from CSIE, EE, ME, IMI and Institute of Data Science
 

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


2.3.1 5 Modularization Courses:Course Map – Course Fields

2.3.2 5 Modularization Courses:Course Map(Download)

2.4 5 Modularization Courses:Courses and Credits

*TBD
 
1. Artificial Intelligence Computing Modularization Courses
No. Course Credits Instructor
1 Introduction to AI Robotics 1.5 CSIE Prof. Jenn-Jier James Lien
2 Artificial Intelligence: Computing and Application 1.5 CSIE Prof. Wei-Ta Chu
3 Deep Learning: Computing and Application 1.5 ME Prof. Torbjörn Nordling, instructed in English
4 Evolutionary Computation* 1.5 CSIE Prof. Shu-Mei Guo
5 Special Topic on Game AI 1.5 CSIE Prof. Wen-Yu Su
6 The Application of Deep Learning for Internet of Things 1.5 CSIE Prof. Kun-Chan Lan
7 Implementing Applications of Cyber Physical Systems* 1.5 CSIE Prof. Pei-Hsuan Tsai
8 Implementing Applications of Cyber Physical Systems* 1.5 CSIE Prof. Pei-Hsuan Tsai

2. Learning-Based Computer Vision Modularization Courses
No. Course Credits Instructor
1 Image Processing and Robot Vision: Fundamental and Design 1.5 SOC Prof. Jin-Yi Wu
2 Image Processing and Robot Vision: Computing and Application 1.5 SOC Prof. Jin-Yi Wu
3 Image Processing and Geometric Data Analysis: Fundamental and Design 1.5 EE Prof. Chia-Hsiang Lin
4 Image Processing and Geometric Data Analysis: Computing & Application 1.5 EE Prof. Chia-Hsiang Lin
5 Deep Learning for Medical Image Processing 1.5 CSIE Prof. Ming-Long Wu
6 Deep Learning for Computer Vision 1.5 CSIE Prof. Jenn-Jier James Lien
7 Artificial Intelligence to Sports Analytics 1.5 Institute of Physical Education, Health &Leisure Studies Prof. Kuangyou B. Cheng
8 Application of Deep Learning for Human Skeleton 1.5 CSIE Prof. Kun-Chan Lan

3.Human-Robot Interaction Modularization Courses
No. Course Credits Instructor
1 Natural Language Communication between Humans and Robots 1.5 CSIE Prof. Wen-Hsiang Lu
2 Deep Learning for Recommender Systems 1.5 Institute of Data Science Prof. Cheng-Te Li
3 Deep Learning for Speech Recognition* 1.5 TBD
4 Interaction with Chatbots 1.5 SOC Prof. Shao-Man Lee
5 Value-Infused Interaction with Chatbots 1.5 SOC Prof. Shao-Man Lee
6 Learning-Based Human-Robot Interaction: Fundamental and Design* 1.5 SOC Prof. Jin-Yi Wu
7 Learning-Based Human-Robot Interaction: Computing and Application* 1.5 SOC Prof. Jin-Yi Wu
8 Brain-Computer Interface* 1.5 TBD

4.AMR and ROS Modularization Courses
No. Course 學分數 Instructor
1 AMR Having RGB-D Camera and LiDar: Computing and Application* 1.5 TBD
2 Applications of Autonomous Driving Technologies 1.5 EE Prof. Jyh-Chin Juang*
3 SLAM(Simultaneous Localization and Mapping): Computing and Application* 1.5 TBD
4 Programming for the Robot Operating System* 1.5 CSIE Prof. Ching-Chun Huang
5 Programming for the Robot Operating System* 1.5 CSIE Prof. Ching-Chun Huang
6 Embedded Software* 1.5 CSIE Prof. Da-Wei Chang
7 Parallel Computing for___* 1.5 CSIE Prof. Chia-Heng Tu
8 Implications and Forecasting of Automation Technology 1.5 ME Prof. Torbjörn Nordling

5.Robot and Robot Arm Modularization Courses
No. Course Credits Instructor
1 Vision-Based Control: Computing and Application 1.5 EE Prof. Ming-Yang Cheng
2 Mobile Robot System: Computing and Application 1.5 EE Prof. Tzuu-Hseng S. Li
3 Mobile Robot Arm Control: Computing and Application 1.5 EE Prof. Jason Sheng-Hong Tsai
4 Introduction to Design, Analysis and Control of Robotic System 1.5 ME Prof. Tsing-Iuan James Tsay
5 Intelligent Robot Control: Computing and Application 1.5 ME Prof. Tsing-Iuan James Tsay
6 Introduction to Networked and Mobile Robotic System* 1.5 ME Prof. Chao-Chieh Lan
7 Introduction to Networked and Mobile Robotic System* 1.5 ME Prof. Yen-Chen Liu
8 Soft Robot: Design, Analysis and Application 1.5 ME Prof. Chih-Hsing Liu
9 Robot Gripper Design: Computing、System Integration and Application 1.5 ME Prof. Chih-Hsing Liu
10 Advanced Control: Robotic and Complex Systems* 1.5 ME Prof. Yen-Chen Liu
11 Advanced Dynamics : Robotic and Complex Systems* 1.5 ME Prof. Chao-Chieh Lan*
12 Robot Law: Introduction* 1.5 SOC Prof. Shao-Man Lee
13 Robot Law: Social Bot* 1.5 SOC Prof. Shao-Man Lee
14 Robot-Aided Smart Construction* 1.5 TBD
15 Artificial Intelligence to Bionic Hand Control* 1.5 TBD
 

Contact Information

Contact Person:Diana
Email:airobotics@email.ncku.edu.tw
TEL:06-2757575 #57000-106
Office Hour: Mon- Fri 8:00~17:00
Office Address: Yun Ping East Building 5F, Office of Miin Wu School of Computing