Research Center on Artificial Intelligence and Sustainability
Research Field
Pao-Ann Hsiung, Ph.D., received his Ph.D. in Electrical Engineering from the National Taiwan University, Taipei, Taiwan, ROC, in 1996. Since August 2007, he has been a full professor at the National Chung Cheng University (CCU), Taiwan. Currently, he is the Director of the Research Center on AI and Sustainability, CCU and the Director of the Taiwan-India Joint Research Center on Artificial Intelligence at IIT Ropar and CCU. Previously, he was the Chief Information Officer (CIO), Dean of International Affairs, CS department chair, and the Director-General of Intelligence Technologies Department, Chiayi City Government. He is listed among the World Top 2% Scientists Ranking by Stanford University for career-long impact (1960-2023) in the fields of AI and Image Processing, and Computer Architecture and Systems. He has also been listed as a top scholar by ScholarGPS, a reputed world ranking, within 0.5% lifetime world ranking for the area of hardware-software codesign in 2024 (ranked 1st in Taiwan and 57th in the World of 11,865 researchers in this area). He has published more than 330 papers in international journals and conferences. He was the recipient of the 2010 CCU Outstanding Research Award, 2001 ACM Taipei Chapter Kuo-Ting Li Young Researcher, and 2004 CCU Young Scholar Research Award. He helped Chiayi to achieve 2018 TOP7 Smart City in the Intelligence Community Forum world competition. Dr. Hsiung is a fellow of the IET, a senior member of the IEEE and the ACM, and a life member of the IICM. Dr. Hsiung’s main research interests include smart system design, deep learning, AIoT, smart city technology such as smart traffic and smart grid, embedded real-time system design.
The Research Center on Artificial Intelligence and Sustainability is located at room 509, Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan. It was established in March 2022. The research center is currently being led by Professor Pao-Ann Hsiung. We are committed to the research on the design of smart systems, including applications to smart traffic, smart grid, environment protection, and biomedical diagnosis. Currently, we have three research projects undergoing inclouding Design of Integrated Command and Control Center for Sustainable Smart Cities, Taiwan-India Joint Research Center on Artificial Intelligence and Smart Observer : Distant-Water Fishermen Labor Rights and Safety Management. We have achieved several research results disseminated in more than 300 publications.
- Digital Twin Design with Scenario Planning for City Disaster Management (with AI-based Management)
- Edge-AI System Design for Drones
- Situational Awareness for Urban Environment and Traffic (using CityGML)
- Open Source Contribution: Automatic Deployment of AI models based on Kubernetes, Kubeflow and Kserve (on GitHub)
- AI and Image/Video-based Quality Monitoring of Water Bodies (such as lakes, rivers, etc.)
- Professor Hsiung is listed among the World Top 2% Scientists Ranking by Stanford University for career-long impact (1960-2023) in the fields of AI and Image Processing, and Computer Architecture and Systems.
- He has also been listed as a top scholar by ScholarGPS, a reputed world ranking, within 0.5% lifetime world ranking for the area of hardware-software codesign in 2024 (ranked 1st in Taiwan and 57th in the World of 11,865 researchers in this area).
- He has published more than 330 papers in international journals and conferences.
- He was the recipient of the 2010 CCU Outstanding Research Award.
- He was the recipient of the 2001 ACM Taipei Chapter Kuo-Ting Li Young Researcher.
- He was the recipient of the 2004 CCU Young Scholar Research Award.
- He helped Chiayi to achieve 2018 TOP7 Smart City in the Intelligence Community Forum world competition.
- Dr. Hsiung is a fellow of the IET, a senior member of the IEEE and the ACM, and a life member of the IICM.
Ph.D., Electrical Engineering, National Taiwan University, Taiwan
B.S., Department of Mathematics, National Taiwan University, Taiwan
2 Vacancies
Job Description
Deliverables:
- Weekly reports
- Bi-weekly presentation
- 6-hours daily from Monday to Friday, except on national holidays
- Final report in the form of an academic paper
Preferred Intern Education Level
Master or PhD students
Skill sets or Qualities
Python Programming
Deep Neural Network Model Design and Optimization
Paper reading and writing