Shuenn-Yuh Lee Director
Distinguished Professor, Dept. of EE, NCKU

1999 Ph.D., Electrical Engineering, National Cheng Kung University, Taiwan
1994 M.S., Electrical Engineering, National Cheng Kung University, Taiwan
1988 B.S., Electrical Engineering, National Taiwan Ocean University, Taiwan

2001-2002 Chairman Integrated Circuit Design Center Southern Taiwan University of Technology
1996 Engineer, Information and Communications Research Laboratories of the Industrial Technology Research InstituteITRI
1994 Engineer, Consumer Product Development Department, WINBOND Corp.
1992 Engineer, Manufacturing Engineering Department, LOGITECH Corp.
1990-1992 Engineer, Manufacturing Engineering Department, AT&T-TT.

Research Interests
· Implantable telemetry device: heart pacemaker, bladder controller, micro-stimulator
· Bio-signal ECG acquisition system on a chip SOC: preamplifier, analog filter, ADC/DAC
· Healthcare system: RF fron-end and analog frond-end integration, RFID/ZigBee system
· Low-power circuits for wireless biomedical circuits and systems
· Digital system: DSP chip for feature extraction, baseband chip for healthcare system
· Wearable device with internet of thing IOT system on a chip SOC
· Guard Patch: An artificial intelligence system and platform with wearable diseases diagnosis
· Guard Patch: A system-on-chip and platform for cardiovascular diesease analysis and evaluation

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:Ms. Ada Wu
TEL:06-2757575 #57000-104
Office Hour: Mon- Fri 9:00~17:00
Office Address: Yun Ping East Building 5F, Office of Miin Wu School of Computing