Control, Intelligent Systems & Robotics
Research in the CISR group in the Department of Electrical and Computer Engineering (ECE) can be split into three tracks which are all multiple and cross disciplinary; Control, Intelligent Systems and Robotics. Due to the multi-faceted nature of these areas, the group has attracted collaboration from a wide and diverse range of industrial companies and research institutions, both locally and abroad, in applications including but not limited to manufacturing, automation, health science, transport, build environment, financial analysis and other service sectors. The group has set up a joint laboratory with Singapore Institute of Manufacturing Technology (SIMTech) in precision motion control systems which actively conducts research in high-speed precision motion control and energy-efficient manufacturing systems, with interests in projects relating to micro-machining, precision metrology, precision geometrical and thermal compensation, fault tolerant control and accommodation, predictive analytics.
Research Focus
- Control
The research of the Control subgroup is centered on systems and control. The core strengths are on system control methodology, and industrial applications. The current focus of system control methodology includes adaptive systems, switched & hybrid systems, robust control, and nonlinear control. The current focus of industrial applications includes process control for chemical engineering and semiconductor manufacturing systems, precision mechatronics for data storage systems, precision medical systems, unmanned aerial vehicles.
- Intelligent Systems
The research of the Intelligent Systems subgroup focuses on computational and machine intelligence. The core strengths are on computational intelligence based optimization, and machine learning based applications. The current focus of computational intelligence based optimization includes multi-objective evolutionary optimization methods for engineering design problems. The current focus of machine learning based applications includes classification and diagnosis of biomedical signals, machine health condition diagnosis & monitoring.
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Robotics
The research of the Intelligent Robotics (IRR) is centered on AI-driven Robotics. The core strengths are on fusion of machine learning and robotics. The current focus of robotic technology includes humanoid robots, industrial robots, drones, social robots, healthcare robots and autonomous vehicles. The synthesis of control theory, robotics and machine learning yields multi-agent cooperative systems, guidance and navigation.
People
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Abdullah AL MAMUN E4-08-18 +65 6516 2251 Precision mechatronics, servomechanism in data storage devices, intelligent control, and mobile robots |
ZHAO Lin E4-08-16 +65 6516 8954 Control, Optimization, and learning theories, with applications to multi-agent systems and UAVs. |
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GE Shuzhi, Sam E4-05-28 +65 6516 6821 Social robotics, mind robotics, multimedia fusion, adaptive control, intelligent systems, artificial intelligence |
HANG Chang Chieh E4-05-49 +65 6516 6500 Social robotics, innovation strategy and management |
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HO Weng Khuen E4-08-13 +65 6516 6286 Control and signal processing in semiconductor manufacturing, process control |
LEE Tong Heng E4-05-25 +65 6516 2564 Adaptive systems, knowledge-based control, intelligent mechatronics, computational intelligence |
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TAN Woei Wan E4-06-18 +65 6516 8323 Systems science, computational intelligence |
TAY Ee Beng, Arthur E4-08-12 +65 6516 6326 Control, signal processing, simulation and optimization for semiconductor manufacturing, design for manufacturing, lithography process control, fault detection and monitoring, computational intelligence |
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Prahlad VADAKKEPAT E4-08-19 +65 6516 2296 Frugal innovation, distributed robotic systems, humanoid robotics, biomorphs, neuro-fuzzy controllers and intelligent control techniques |
XIANG Cheng E4-08-07 +65 6516 6210 Pattern recognition, intelligent control and systems biology |
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LOH Ai Poh E4-06-14 +65 6516 2451 Systems & Control, machine learning, in recent days, interested in student attitudes, motivations and engineering education |
