Research Areas
Computer Engineering and Control Systems

Applied Electromagnetics Optoelectronics, Electronics, Nanotechnology and Biosystems
Wireless Communications Networking Computer Engineering and Control Systems

Nonlinear Systems Analysis and Chaos Theory

Nonlinear Systems Analysis and Chaos Theory with Applications

Complex Networks: Modeling, Dynamics and Control

Complex Networks: Modeling, Dynamics and Control

Tensor Computing

Tensor Computing
Prof. Hong Yan

Cancer Data Analysis

Cancer Data Analysis
Although several non-small cell lung cancer drugs are effective initially, almost all patients develop resistance to the drugs later. We perform molecular modeling and protein-drug pattern analysis to study the mechanism of drug resistance and develop personalized treatment plan.
Prof. Hong Yan

Human Face Image Analysis

Human Face Image Analysis
Human face image analysis and recognition is useful for many real world applications, including entertainment and security operations. We study machine learning and pattern classification techniques for facial feature extraction, face tracking, and facial expression recognition.
Prof. Hong Yan

Architecture designs for high throughput Trusted computing and Biomedical applications

Ray Cheung FPGA
At CityU Architecture Lab for Arithmetic & Security (CALAS), we conduct research on trusted computing, cryptography, security protocol, build up efficient hardware components using Field-programmable Gate Arrays (FPGA), develop flexible hardware components for hippocampus VLSI chip, and create new mathematical models to support novel research outcomes.
Dr. Ray Cheung

Given any problem, learn to find the best algorithm to solve it

Best guess of best algorithm
  • Design type black box optimization problem
  • Develop a wiki type online tool for collecting real world problems
  • Offer solution to the problem by a default algorithm
  • Observe performance, predict more suitable problem, iterate, finally returning best solution
  • Life long learning as it solves problems
  • Long term: Selecting representative problems, learning why an algorithm is best for a problem
Dr. Kelvin S Y Yuen

Computer and Control Systems are key research areas related to state-of-the-art computer and system technologies. This research group consists of researchers focusing on both theoretical research and applied computer-based technologies development. Advanced theoretical research includes modeling and control of complex networks, analysis of nonlinear systems, development of new machine learning computational algorithms, and hardware and software design methodologies. The group also conducts signal processing, bioinformatics, cloud computing and computer vision research. These diverse engineering applications are all key areas in the current IT and computer industries. These research works have become an integral part of modern computer technologies as powerful tools enabling us to model and forecast the behavior of a highly complex system, such as genomic data, documents and even the human society, for which they made visualization of huge complex data possible. These works also enable us to handle big data and solve previously unsolved practical problems.

The team is devoted to the research on: intelligent and networked control; complex networks; nonlinear circuits and systems; signal processing; pattern recognition; biomedical imaging; bioinformatics; artificial intelligence; machine learning; computer graphics and vision; cloud computing; computer architecture; embedded systems; and evolutionary computing.

The team consists of the following faculty members: Dr Stanley C F Chan, Dr K L Chan, Prof Jie Chen, Prof Guanrong Chen, Dr L L Cheng, Dr L M Cheng, Dr Ray C C Cheung, Dr Bernard C Y Chiu, Prof Tommy W S Chow, Dr Ricky W H Lau, Prof K F Man, Dr Timothy Y M Siu, Dr Wallace K S Tang, Dr Peter W M Tsang, Dr Angus K M Wu, Prof Hong Yan, and Dr Kelvin S Y Yuen.

Last Updated : 10 Jan 2017