MS Degree Program in Intelligent Technology Systems

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 graphic recognition, machine learning, embedded systems, cloud-based intelligent monitoring services.

School Record

• United States \ University of Pittsburgh \ Electrical Engineering \ PhD 1993 ~ 1998
• United States \ Washington University \ Electrical Engineering \ Master 1991 ~ 1993
• Taiwan \ Chun Yuan Christian University \ Biomedical Engineering \ Bachelor 1985 ~ 1989

Record

• L1 Identity Best Face Recognition Company \ R&D \ Lead 1999 ~ 2002
• Carnegie Mellon University \ SCS, RI \ 1995 ~ 1998

Cultivating Cross-domain AI Talents

The application of artificial intelligence to various fields has become a hot trend, and how to optimize algorithms to make artificial intelligence more precise, efficient, and closer to the needs is the main goal of various industries.
MS Degree Program in Intelligent Technology Systems aims to cultivate intelligent talents who can accelerate the development of various fields through technology, and who have the ability to think in a problem-solving manner, think logically, and communicate across domains, so that they can use AI as a lever to pry open the field and build a better and more convenient society.

Development Directions

MS Degree Program in Intelligent Technology Systems focuses on the core technologies of artificial intelligence, computer vision, image processing, data exploration, robotics, and human-machine interaction, which can be widely applied to various fields, such as healthcare, sports science, smart city/campus, industrial manufacturing, communications, humanities, and social sciences, etc. The program is designed to help students develop their knowledge and skills in a variety of areas.

Courses