Chih-Hung Chang

Chih-Hung Chang received his Ph.D. degree in computer science from Feng Chia University in 2004. His research interests include Deep Learning, Software Engineering, Cloud Services, and Healthcare Systems. Prof. Chang has more than 10 principal investigators from MOST/NSCT and many projects Co-PIs from MOE/NSCT. His research results have been published in the “Engineering Science and Technology Bulletin” twice. Prof. Chang is also actively involved in related research services, such as serving as a CS team, a judge of the Ministry of Education's IMBD, and a teacher of the Intelligent Manufacturing Industry Innovation and Enhancement Talent Cultivation Program textbook compiler. He is also a judge/district judge of the National Skill Competition of the Ministry of Labor, a reviewer of the Forward-Looking Digital Project of the MOE, etc. He has been a member of many international conferences, such as the program committee of TANET, ACM SAC Software Engineering Track, and co-chair of the IEEE SCA Workshop. In industry-academia cooperation, Prof. Chang is currently collaborating with Taichung Veterans General Hospital, Changhua Christian Hospital, Tung’s Taichung MetroHarbor Hospital, Netbirdge, and Any Door Technology, etc., on practical applications such as AI, LLM, and energy management. For example, Long Covid-19 analysis, diagnosis of rare diseases in orthopedics, epilepsy detection, and healthcare robots. Prof. Chang received the Best Paper Award in TANET 2021 and 2017 and the Best Paper Award in NCS 2017. Prof. Chang has published over 30 journal articles and 100 seminar papers on AIoT, cloud computing, and software engineering in recent years.