Core Research Areas 

The core research areas of Control & Instrumentation Division would focus on five areas:

Control Systems Technologies

We focus on fundamental research in systems theory and control and their applications. In particular, our research in the areas of adaptive control, robust control, networked control, and process control has been well recognized by international communities. Current core research areas include adaptive and iterative learning control, networked control, multi-agent systems, intelligent control, fault-tolerant control, and nonlinear control.  Funded projects include modeling and control of energy systems (NRF), control technologies for manufacturing (A-Star SERC), flight control (DSO), control of micro-satellite (DSO), etc.


Machine Learning and Computational Intelligence

The nature of research is theoretical, with emphasis on bio-informatics and biomedical applications. New research directions identified are in the area of new robust machine learning algorithms, swarm intelligence, as well as robust evolutionary algorithms, with particular emphasis on bioinformatics & biomedical application areas.


Outdoor Autonomous Robot and Intelligent Systems

Outdoor autonomous robots and intelligent systems play an increasing important role in advanced industries and modern warfare. Core technology areas include mobility, sensing and perception, environmental map building and localization. Funded projects includes Autonomous vehicle mobility (A*STAR and IDeAS), Simultaneous Localisation and Mapping (A*STAR and DSO) and Vision-base perception and navigation (MINDEF project on tank guidance systems).


Sensor Network Technology

Wireless sensor network (WSN) is an emerging research area with great potentials in environmental monitoring, water technology, national securities and defense, intelligent healthcare and transportation systems, Warehouse and logistics, manufacturing systems, etc. Core technology areas include reconfigurable WSN, distributed and scalable localization, sensor management, sensor fusion, bandwidth constrained coding, estimation and control, modeling of unreliable networks, cooperative sensing and control. Funded projects include collaborative information/signal processing for WSNs (A*STAR), networked manufacturing (A*STAR), information processing with unreliable and bandwidth limited communications (MINDEF), networked sensing and control (NSFC of China).


Biomedical Imaging With Focus On Clinical Application And Signal Processing

In line with the national efforts to become a regional biomedical hub, our focus on biomedical research is geared towards practical clinical implementation, with the aim of integrating our expertise in image and signal processing to improve on the present clinical technologies and support local clinical trials. Specific research areas identified include clinical imaging modalities such as the ultrasound, magnetic resonance imaging and computed tomography, as well as biological systems modeling.