The Department is committed to conducting impactful multi-disciplinary research through recognising our strategic strengths and pooling talents. To further advance our research and spearhead innovative across disciplines, an array of initiatives which include strengthening international exposure and pursing international scholarly recognition, fostering a more open and supportive research culture, increasing engagement of multi-disciplinary research, recruiting and retaining high-caliber staff are well introduced.
The Department is proud to count among our faculty and they contribute fundamentally to our success.
Source: THE World University Rankings
CS Citations in Hong Kong
CS in Asia
CS in World
Aritifical Intelligence (2018-2020)
The Department has secured significant amount of research funds in the past 4 years. The funding solidifies our research strengths and recognises our efforts in creating impactful innovative research.
|No. of Funded Project(s)|
|Collaborative Research Fund (CRF)||1|
|General Research Fund (GRF)||17|
|Early Career Scheme (ECS)||4|
|Research Impact Fund (RIF)||3|
|Innovation and Technology Fund (ITF)||1|
|National Natural Science Foundation of China (NSFC)||5|
|Dr. CHEN, Li|
|Prof. CHEUNG, Yiu Ming||Prof. LIU, Jiming|
|Associate Editor||Associate Editor|
|Prof. CHEUNG, Yiu Ming|
Information as at 11 August 2021
The Department strongly believes that the significance of up-to-date research facilities as a pre-requisite for top research and teaching. High-performance computing facilities, like FAT CPU, FAT GPU servers and GPU clusters are well equipped to enhance our research capabilities and meet ever-expanding research need on artificial intelligence and big data.
List of high-performance computing facilities:
|4 FAT CPU servers|
|4 FAT GPU servers, each with 4 Nvidia V100 GPUs and 1TB RAM|
|Four GPU clusters:|
|Cluster 1: 8 GPU nodes, each with two Nvidia Tesla K80
Cluster 2: 4 GPU nodes, each with two Nvidia Tesla P40
Cluster 3: 5 GPU nodes, each with four Nvidia Tesla V100
Cluster 4: 6 GPU nodes, each with four Nvidia Tesla V100
|One big-data cluster: 10 servers, each with dual 6-core Intel Xeon CPUs|