Electronic and Computer Engineering

Award winner Dr. Shao Jiawei shared his valuable research experiences and the challenges he faced with current research postgraduate students at the PhD Research Excellence Award Ceremony on May 30.
Award winner Dr. Shao Jiawei shared his valuable research experiences and the challenges he faced with current research postgraduate students at the PhD Research Excellence Award Ceremony on May 30.
Prof. Shen Yajing, Associate Professor of the Department of Electronic and Computer Engineering at HKUST
Prof. Shen Yajing, Associate Professor of the Department of Electronic and Computer Engineering at HKUST
Prof. Shen Shaojie (third right), his current PhD students Jiang Chenxing (first author, second right), Liu Peize (first left) and Yu Zehuan (second left), and former PhD student Dr. Zhou Boyu (third left) received an IEEE Robotics and Automation Letters Best Paper Award at the IEEE International Conference on Robotics and Automation 2024.
Prof. Shen Shaojie (third right), his current PhD students Jiang Chenxing (first author, second right), Liu Peize (first left) and Yu Zehuan (second left), and former PhD student Dr. Zhou Boyu (third left) received an IEEE Robotics and Automation Letters Best Paper Award at the IEEE International Conference on Robotics and Automation 2024.
Prof. Shen Shaojie (first left) and his two former PhD students, Dr. Zhou Boyu (second left) and Dr. Xu Hao (second right), received the 2024 IEEE Transactions on Robotics King-Sun Fu Memorial Best Paper Award, which recognizes the best paper published annually in the IEEE Transactions on Robotics.
Prof. Shen Shaojie (first left) and his two former PhD students, Dr. Zhou Boyu (second left) and Dr. Xu Hao (second right), received the 2024 IEEE Transactions on Robotics King-Sun Fu Memorial Best Paper Award, which recognizes the best paper published annually in the IEEE Transactions on Robotics.
Prof. Daniel Palomar (first left) was presented a certificate for elevation to EURASIP Fellow at the 32nd European Signal Processing Conference, which took place in Lyon, France on August 26-30, 2024.
Prof. Daniel Palomar (first left) was presented a certificate for elevation to EURASIP Fellow at the 32nd European Signal Processing Conference, which took place in Lyon, France on August 26-30, 2024.
Dr. Kang Chengbin (3rd left) is holding a white LED and Prof. Abhishek Srivastava (3rd right) with a set of QRLED prototypes in his hand and various monochromatic quantum rods on the table. Other co-authors are Liao Zebing (1st left), Kumar Mallem (2nd left), Dr. Maksym Prodanov (center), Dr. Valerii Vashchenko (2nd right) and Song Jianxin (1st right).
Dr. Kang Chengbin (3rd left) is holding a white LED and Prof. Abhishek Srivastava (3rd right) with a set of QRLED prototypes in his hand and various monochromatic quantum rods on the table. Other co-authors are Liao Zebing (1st left), Kumar Mallem (2nd left), Dr. Maksym Prodanov (center), Dr. Valerii Vashchenko (2nd right) and Song Jianxin (1st right).
Prof. Khaled B. Letaief was honored with a 2024 Distinguished Engineering Alumni Award by Purdue University for his preeminence in the field of computer science and engineering.
Prof. Khaled B. Letaief was honored with a 2024 Distinguished Engineering Alumni Award by Purdue University for his preeminence in the field of computer science and engineering.
Prof. Tu Fengbin (left) and Prof. Xie Yuan (right) have been devoted to researching and developing the groundbreaking technology of the Reconfigurable Digital Computing-In-Memory AI chip (ReDCIM).
Prof. Tu Fengbin (left) and Prof. Xie Yuan (right) have been devoted to researching and developing the groundbreaking technology of the Reconfigurable Digital Computing-In-Memory AI chip (ReDCIM).
The HKUST-FYBB#1 Satellite Forum on January 27, 2024 was well received by over 400 local secondary school students, academics and entrepreneurs.
The HKUST-FYBB#1 Satellite Forum on January 27, 2024 was well received by over 400 local secondary school students, academics and entrepreneurs.
Prof. Zhang Jun (pictured) and his former PhD student Dr. Shao Jiawei’s study is set to enable a privacy-preserving, communication-efficient, and heterogeneity-adaptive federated training framework.
Prof. Zhang Jun (pictured) and his former PhD student Dr. Shao Jiawei’s study is set to enable a privacy-preserving, communication-efficient, and heterogeneity-adaptive federated training framework.