Computer Science and Engineering

Engineering education in the AI era should help students to become engineers who can use AI thoughtfully, question its outputs when evidence is unclear, and take responsibility for the systems they design.
Engineering education in the AI era should help students to become engineers who can use AI thoughtfully, question its outputs when evidence is unclear, and take responsibility for the systems they design. 
Prof. Qu Huamin (second left), PhD student and co-first author Shi Yuzhe (second right), and MPhil graduate Li Yanjia (first left), all from HKUST’s Department of Computer Science and Engineering, together with Prof. Ruan Lecheng (first right) of Peking University, corresponding author of the paper.
Prof. Qu Huamin (second left), PhD student and co-first author Shi Yuzhe (second right), and MPhil graduate Li Yanjia (first left), all from HKUST’s Department of Computer Science and Engineering, together with Prof. Ruan Lecheng (first right) of Peking University, corresponding author of the paper. 
Prof. Xie Yuan (fourth left) and his former PhD students and collaborators received the prestigious 2026 ACM/IEEE A. Richard Newton Technical Impact Award in Electronic Design Automation at the 63rd Design Automation Conference, held in Long Beach, California, in July 2026.
Prof. Xie Yuan (fourth left) and his former PhD students and collaborators received the prestigious 2026 ACM/IEEE A. Richard Newton Technical Impact Award in Electronic Design Automation at the 63rd Design Automation Conference, held in Long Beach, California, in July 2026. 
Prof. Chen Hao (center), Assistant Professor of the Department of Computer Science and Engineering and the Department of Chemical and Biological Engineering and Director of the Collaborative Center for Medical and Engineering Innovation at HKUST, together with co-first authors Mr. HE Sunan (left) and Mr. NIE Yuxiang (right), both PhD students from the Department of Computer Science and Engineering, in collaboration with an international team, have developed the novel medical AI framework GSCo.
Prof. Chen Hao (center), Assistant Professor of the Department of Computer Science and Engineering and the Department of Chemical and Biological Engineering and Director of the Collaborative Center for Medical and Engineering Innovation at HKUST, together with co-first authors Mr. HE Sunan (left) and Mr. NIE Yuxiang (right), both PhD students from the Department of Computer Science and Engineering, in collaboration with an international team, have developed the novel medical AI framework GSCo. 
New GSCo Framework Significantly Improves Diagnostic Accuracy and Enables Low-Cost AI Model Development
The projects led by Prof. Hsing I-Ming (left), Professor from the Department of Chemical and Biological Engineering; and Prof. Zhang Qian (right), Head of the Division of Integrative Systems and Design, and Chair Professor of the Department of Computer Science and Engineering, and Department of Electronic and Computer Engineering, have secured fundings from the RGC’s Strategic Topics Grant, marking the largest share among local universities.
The projects led by Prof. Hsing I-Ming (left), Professor from the Department of Chemical and Biological Engineering; and Prof. Zhang Qian (right), Head of the Division of Integrative Systems and Design, and Chair Professor of the Department of Computer Science and Engineering, and Department of Electronic and Computer Engineering, have secured fundings from the RGC’s Strategic Topics Grant, marking the largest share among local universities.