SOC
Jen-Wei Huang Director
Professor, Dept. of Electrical Engineering, NCKU

Educations
2009: Ph.D., Department of Electrical Engineering, National Taiwan University, R. O. C.
2003: M.S., Department of Electrical Engineering, National Taiwan University, R. O. C.
2002: B.S., Department of Electrical Engineering, National Taiwan University, R. O. C.

Experiences
2022/02 ~ current
Professor, Department of Electrical Engineering, National Cheng Kung University, R. O. C.
2022/01~present
IEEE Computational Intelligence Magazine: Associate Editor
2021/08~present
IEEE Tainan Section CIS Chapter: Chair
2021/04~present
IEEE CIS High School Outreach committee
2015~present
Taiwanese Association for Artificial IntelligenceTAAI Director
2018/07 ~ 2022/01
Associate Professor, Department of Electrical Engineering, National Cheng Kung University, R. O. C.
2012/08 ~ 2018/07
Assistant Professor, Department of Electrical Engineering, National Cheng Kung University, R. O. C.
2016/7~2016/8
Visiting Scholar, Big Data and Social Computing Lab led by Prof. Philip S. Yu, Department of Computer Science, University of Illinois at Chicago
2009/08 ~ 2012/07
Assistant Professor, Department of Computer Science and Engineering, Yuan Ze University, R. O. C.
2008/03 ~ 2009/03
Visiting Scholar, IBM Almaden Research Center

Specialties
Data mining, machine learning
Social Network Analysis
Spatio-temporal Data Mining
Multimedia Information Retrieval
Fintech & Bioinformatics

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 
      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).
  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:Ms. Ada Wu
Email:soc57000.ncku.edu.tw
TEL:06-2757575 #57000-104
Office Hour: Mon- Fri 8:00~17:00
Office Address: Yun Ping East Building 5F, Office of Miin Wu School of Computing

Last Updated: Aug. 25, 2022