林英超 Director
Professor, Dept. of CSIE, NCKU

2007 Ph.D, Computer Science and Engineering, The Pennsylvania State University, U.S.A.
2001 M.S., Computer Science and Information, National Taiwan University

Professional Employment
2018-present Professor, Dept. of CSIE, NCKU
2017-2017 Visiting Scholar, Institute of Information Science, Academia Sinica
2015-2015 Visiting Researcher, Information and Communication Research Lab, Industrial Technology Research Institute
2015-2016 Visiting Professor, Electrical and Computer Engineering, University of California, Santa Barbara
2014-2018 Associate Professor, Dept. of CSIE, NCKU
2009-2014 Assistant Professor, Dept. of CSIE, NCKU
2007-2009 Staff R&D Engineer, Timing Closure Verification, Real Intent
2003-2007 Research Assistant, Computer Science and Engineering, The Pennsylvania State University

Research Interests
AI Chip and AI Computing Platform, Reliable Energy-Efficient Computer Architecture, Electronic Design Automation, Digital Integrated Circuits/System-on-Chip Design, Memory Architecture and System, Heterogeneous Computing System and Architecture, In-Memory Computing

1.1. Information for applicants

1. 3 PhD students per year - 2 students (industry-academia cooperation with Macronix) + 1 students (General):
(1) Recommendation and Screening: Application materials 50% + Interview 50% 
i. Qualification: 
  • Graduated from relevant departments which disciplines contain science, technology, engineering and mathematics
  • The applicant needs to have the basic ability of programming (such as Python, C/C++/C#, Java, R or Matlab, etc., at least one).
(2) Application materials:
i. Graduation certificate for master's degree (graduates must pay student ID)
ii. Bachelor and Master Transcripts (with proof of ranking) 
iii. Two reference letters (with the format from NCKU admission system)
iv. Research plan and autobiography for PhD study
v. 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, and ask the instructor or department supervisor to sign. If there is any falsehood, it will not be admitted.)
(3) Remark
i. Participate in the interview based on the review results. Those with excellent review results will be admitted directly without the interview (up to 1/2 of the enrollment quota).
ii. Priority will be given to applicants with the following characteristics:
  • Those who are interested in computing science, artificial intelligence, data science and related fields.
  • Those who are willing to apply advanced semiconductor process technology to the industry.
  • Demonstrate enthusiasm for independent learning and those who are willing to enter the cooperative manufacturers after graduation.
2. For international student’s application, please visit OIA, NCKU.

1.2 Degree Programs: Interdisciplinary Curriculum Planning Concept and Characteristic

1. Plan interdisciplinary and team practice courses which focus on advanced applications and system integration, and combine industry practices to cultivate talents with dual expertise with AI computing technology as the core.
2. This program’s course is divided into four areas, including (1) Statistics and Applied Mathematics, (2) Computing in Memory, (3) Semiconductor Circuits and Processes, (4) Basic EECS Courses (Intermediate Former non-EECS students).
3. Leverage the advanced courses in computing/professional fields of existing departments, with course guides and course maps.
4. Some courses will be connected with industry, and teachers with interdisciplinary expertise and industry experts will jointly guide students to implement application topics.
5. There are more than 20 teachers across the colleges of Electrical Engineering and Computer Science, Engineering, science, and Management.
6. Link industry, academia, and research resources to provide a comprehensive interdisciplinary application-oriented integrated teaching and research environment! 

2.1 Regulations:Credits 

1. Graduation requirement: (detailed regulations can be seen in the attachment: Regulations of Doctor of Engineering Degree Program in Intelligent Computing(4 Years), Regulations of Doctor of Engineering Degree Program in Intelligent Computing(5 Years), some of the regulations are divided into EECS and non-EECS backgrounds)
(1)    Elective courses for 21 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 can enroll 6 credits courses from other departments.
(4)    0 credits for corporate internship (industry-academia cooperation group): Pass the doctoral qualification examination within two years after enrollment (except for years of leave), become Ph. D. Candidates in engineering, and go to the partner company for practical research in the next two years.
(5)    Thesis - 12 credits are extra.

Contact Information

Contact Person:Kacie
TEL:06-2757575 #57000-102
Office Hour: Mon- Fri 9:00~17:00
Office Address: Yun Ping East Building 5F, Office of Miin Wu School of Computing