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Centre for Information Security (CIS)
Director: Associate Professor Jiang Xudong
Mission, Vision and Research Philosophy
• To create an interactive environment for active R&D in
information security, and establish collaboration with
universities, research institutes, industries and government
• To solve the security issue of computer system, networks
and internet; secure electronic and physical transactions and
access; prevent illegal copying of documents and
multi-media
• To engage in multidisciplinary research utilising
mathematics, information theory, signal and image
processing, pattern recognition, computer science,
engineering and other associated technologies
Research Activities
The main research activity broadly focuses on the areas of
Data Hiding and Information Forensics, Biometrics, and
Surveillance System.
• The research in Data Hiding and Information Forensics
emphasizes copyright protection and authentication of
image, audio, video, document and vector graphic data
• Biometrics conducts both theoretical and applied research in
areas related to the human identity recognition based on
his/her physiological or behavioural characteristics that are
unique to each individual
• For the project intelligent video surveillance systems, the
primary objectives are video understanding such as target
detection, target tracking, human behaviours activity
understanding, and video representation such as video
compression, video resolution enhancement.
CIS has developed and patented a fast MPEG watermarking
scheme which embeds watermarks efficiently and invisibly
into the MPEG bit stream, without the need for MPEG
decompression. Novelties in this technology include
compressed domain block classification, enhanced bit rate
control, and enhanced blind detection for drift-compensated
video. CIS has investigated the effects of linear and non-linear
collusion attacks on digital fingerprints (personalised
watermarks) and devised new techniques to counter them.
CIS developed a fingerprint retrieval framework using the
orientation field as the main feature and the dominant ridge
distance as an auxiliary feature. These coarse level features
have little correlation with the minutia points that are often
used for the finger matching in an automated fingerprint
verification and identification systems. Consequently, the
proposed retrieval approach will not only speed up the
identification process but also alleviate the accuracy
deterioration of the fingerprint identification from that of the
verification.
Centre for Infrastructure Systems (CIS)
Director: Associate Professor Chu Jian
Mission
To be a centre of excellence in research and education in
infrastructure system planning and development
Current Areas of Research Focus
To work closely with industries to develop innovative
technologies in the areas of
• Space creation: underwater city & new reclamation methods
• Green and smart construction materials
• Urban Infrastructure construction and management
• Underground transport networks
Current Research Projects
• Underwater infrastructures and underwater city in
the future (NRF)
• Methods for reclamation using soft materials (JTC)
• Biocement – a new sustainable and energy saving material
for construction and soil treatment (A*STAR)
• Performance approach to recycled aggregates classification
(BCA)
• Infrastructure systems for mega projects (NTU)
• Risk analysis and assessment
Education and Training activities:
• Research degree programmes: PhD and MEng
• Coursework programmes: MSc (Civil) with specializations
in Geotechnics and Transportation;
MSc(International Construction Management)
• Graduate Diploma in Construction Management
Centre for Intelligent Machines (CIM)
Director: Professor Xie Lihua
Mission
• To spearhead R&D activities in the areas of Control System
Technology, Robotics, Surveillance Technology, Real-time
and Embedded Information Systems, and Machine Learning
• To cooperate with industrial partners and government
agencies in fields of strategic importance
Research Activities
The CIM’s research in control, especially robust and adaptive
control, enjoys excellent international reputation. In addition to
fundamental research, the Centre has put a lot of emphasis
on industrial control, in particular, process modelling,
optimisation and control with applications in air-conditioning
systems, motion control, and flight control, and has completed
several major industrial projects. The Centre also has very
strong research teams in autonomous systems, sensor
networks, and machine learning supported by several
government and industry funded projects.
Research Focus
•
Mobile Robotics
Simultaneous localisation and map building: Robot control;
Underwater robotics; Autonomous vehicles,evolutionary and
bio-robotics; Service robots and e-toys.
•
Control Systems Technology
Robust and adaptive control; Networked control systems
and sensor networks; Intelligent systems and control;
Process control and automation; Flight control systems.
•
Sensor Networks
Reconfigurable and scalable wireless sensor networks;
Resource-constrained information processing; Cooperative
and distributed algorithms; Target tracking and ambient
intelligence.
•
Machine Learning
Stochastic learning theory and applications; Computational
intelligence for machine learning applications; Feature
analysis and classification.
Centre for Mechanics of Micro-Systems (CMMS)
Director: Associate Professor Du He Jun
Vision
CMMS believes that:
• Mechanics (of systems and materials) is the key to improve
the performance of micro/nano-systems;