| Name | Research Interests |
| Assoc Prof Alessandro Romagnoli | Alessandro's research interests are:
- Waste heat recovery (Thermo-electric generation, Boosting technology and turbocharging, Organic ranking cycles)
- Battery thermal management
- Thermal energy storage
- Propulsion for UAVs |
| Assoc Prof Ali Iftekhar Maswood | Design and Evaluation of a New Converter Control Strategy for Near Shore Tidal Turbines
Five-Level Multiple-Pole PWM AC-AC Converters with Reduced Components Count
Novel Converter topology for hybrid Wind & Solar Energy
Maximum Power Tracking Control Strategies using Fuzzy logic and Particle Swram Optimization
Novel DC-DC buck-boost Converter for solar/Fuel Cell optimal power txtraction |
| Asst Prof Andrew Prahl | Organizational Communication, Human-Automation Trust, Interpersonal Advice, Automated Advice, Automation Ethics |
| Mr Ang Hock Eng | Fracture Mechanics Analysis of Engineering Components using Boundary Element Methods.
Instrumentation & Control of Fluid Power Systems. |
| Assoc Prof Ang Wei Tech | - BioRobotics / Bio-Mechatronics
- Rehabilitation Engineering
- Assistive Technology
- Robotic Microsurgery
- Robotic Cell Micromanipulation |
| Asst Prof Bernhard Johannes Schmitt | Bernhard's research interests are in the areas of stop-motion animation, experimental animation and interdisciplinary research in art and technology with an emphasis on social robots. |
| Assoc Prof Cai Wenjian | Prof Cai's areas of expertise are system modelling, control and optimization, multivariable system identification and control, sensor and instrumentation, mechanical system simulation and design, and intelligent systems. His current research works focus on industry applications in building HVAC processes, renewable energy processes and environmental processes. |
| Prof Chen I-Ming | 1) Mechatronics system design: cable-driven systems, biomorphic robots, entertainment robots;
2) Wearable sensors and haptic devices;
3) Body sensor network, wireless sensor network and sensor grid;
4) Reconfigurable automation;
5) Parallel kinematics machines (PKM);
6) Micro- and nano-manipulation systems;
7) Spherical actuators and smart material based actuators;
8) Robotic locomotion. |
| Asst Prof Cheong Foong Soon | Corporate governance, Analyst forecast, Management guidance, Investor responses. |
| Assoc Prof Dino Accoto | Design, development and testing of biomedical robots and biomechatronic systems for:
- human augmentation;
- biological and biomedical investigations;
- physical assistance;
- rehabilitation. |
| Assoc Prof Domenico Campolo | Human-Machine Physical Interaction. Motor Control in Humans and Robots with applications to Industry & Healthcare. Geometric and Lie Group Theoretical Methods. |
| Dr Foo Yi Shyh Eddy | His research interests are multi-agent systems, microgrid energy management systems, electricity markets, Power Hardware in the Loop and renewable energy resources. |
| Assoc Prof Goh Wooi Boon | Human Computer Interaction, Computer Vision |
| Assoc Prof Gooi Hoay Beng | Prof Gooi's areas of expertise are Energy Management Systems, Forecast & Scheduling Applications, and Network Applications. His current research focuses on Microgrid Energy Management Systems, Electricity Markets, Spinning Reserve, Energy Efficiency and Renewable Energy Sources. |
| Dr Heng Kok Hui, John Gerard | Current Research:
Automated physio-neuro rehabilitation platform for recovery of hand function after stroke (Smart)
Automated Neuro-Motor Stroke Rehabilitation Device - A Platform for Functional Recovery of Paralyzed Hand after Stroke (POC- NRF)
Wheel chair Gap Crossing mechanism (TRD – NRF)
Unified Platform for acceleration functional return with EMG orthosis for accelerated stroke rehabilitation. (NMRC)
SEMG/EEG driven orthosis for accelerated rehabilitation for stroke patients
Multi Level Haptics Systems
Assistive Technology
Rehabilitation Systems
Other Research Interest Areas:
Exoskeleton Systems
Teleoperation/Telepresence Systems
Legged vehicles, Autonnomous Vehicles
Mechanical and Mechatronics System Design |
| Assoc Prof Hoon Kay Hiang | Research Interests
Main research interests are in stress analysis of thin-walled steel and composite structures, drop-impact study of electronic products, constitutive theory and toughening mechanisms of advanced materials and micro/nano mechanics of deformation and fracture. Also actively involved in bio-mechanical analysis, and design and development of assistive and rehabilitative gait devices for the physically disabled and geriatric healthcare. |
| Assoc Prof Hu Guoqiang | Analysis, control, design and optimization of distributed intelligent systems
(A) Theoretical research: Distributed control and estimation, distributed optimization, game theory, distributed decision making
(B) Projects and applications:
. Multi-robot systems: multi-robot coordination, cooperative robotics, swarm intelligence, visual servo control and autonomous systems
. Smart city systems (buildings and energy): data science, fault detection and diagnostics, building automation and control, energy management and optimization |
| Asst Prof Hung Dinh Nguyen | Complex systems, nonlinear dynamics and stability; power system operation, control, and optimization; Dynamic Security Assessment/Energy Management System; and smart grids. |
| Prof Jagath Chandana Rajapakse | Professor Rajapakse's areas of expertise are machine learning, brain imaging, and computational and systems biology.
Professor Rajapakse has pioneered several techniques for analysis of anatomical and functional MR images. His team was the first to develop techniques to model brain connectivity in an exploratory manner, using functional MR images. Presently, his team is investigating brain connectivity patterns underlying higher-order brain functions such as language and memory, and brain disease such as Parkinson's disease. He is also working on potential applications of brain connectivity and constrained independent component analysis (cICA) in Brain Computater Interface applications, especially in identifying different mental states and extracting features robust to inter- and intra-subject variations.
Professor Rajapakse is presently working on identifying key targets in biological pathways. His research is centered on identifying co-regulated genes, building gene regulary networks, fusion of protein-interactions, and identifying key molecules and core networks in pathways. His team also develops techniques to segment cells and nuclei, identify protein subcellular localizations, and model spatiotemporal changes of cell morphologies from cellular images obtained from electron microscopy and high content screening. |
| Assoc Prof Jiang Xudong | Xudong Jiang's areas of expertise are pattern recognition, computer vision, biometrics, signal and image processing. His current research works focus on statistical pattern classification, feature extraction from image, fingerprint recognition, human face detection and recognition, multimodal biometric fusion, and visual object detection and recognition. |
| Prof Lam Yee Cheong | Dr. Lam's research is well supported by private and public funding. His most current research endeavor is on microfluidics, which include mixing and particle separation in microchannels. His recent research activities include modeling of materials and their processing, injection moldings, fiber composite manufacturing and the behaviors of polymers. He has also conducted research in the areas of metal working, fracture mechanics, life extension of structures and finite element analysis. He has published more than three hundred technical papers. His research in plastic injection molding is supported by Moldflow Corporation, USA, the leading and dominant company in plastic injection molding simulation software. As a result of this research collaboration, Moldflow donated $12.4 million dollars of software to NTU for research and educational purposes in 2000. |
| Assoc Prof Ling Keck Voon | Keck-Voon Ling's areas of experties include control and optimisation, Online Laboratorties and Embedded Systems. His current research interests include model predictive control, receding horizon estimation, and their embedded and high speed implementations.
Selected Publications
Model Predictive Control
KV Ling, JM Maciejowski and BF Wu, Embedded Model Predictive Control (MPC) using a FPGA, 17th IFAC World Congress, Seoul, Korea, 6-11 July 2008.
A. Richards, KV Ling, JM Maciejowski, Robust Multiplexed Model Predictive Control, European Control Conference, July 2007, pp.441-446
KV Ling, JM Maciejowski and BF Wu, Multiplexed Model Predictive Control, CUED Report, CUED/F-INFENG/TR.561, July 2006.
KV Ling, JM Maciejowski and BF Wu, Multiplexed Model Predictive Control, 16th IFAC World Congress, Prague, July 2005.
KV Ling and KW Lim, Receding Horizon Recursive State Estimation, IEEE Transactions on Automatic Control, Vol.44, No.9, pp.1750-1753, 1999.
KS Low, KY Chiun and KV Ling, ?Evaluating Generalised Predictive Control for a Brushless DC Drive?, IEEE Transactions on Power Electronics, Vol. 13, No. 6, pp. 1191-1198, November 1998.
KV Ling and KW Lim. A State Space GPC with Extension to Multi-Rate Control. Automatica, Vol.32, No.7, pp.1067-1071, 1996.
KV Ling and AL Dexter, ?Expert Control of Air-Conditioning Plant?, Automatica, Vol. 30, No. 5, pp. 761-773, May 1994.
Online Laboratories
Habib Mir M. Hosseini, Keck Voon Ling and Bing Duan, Learning Object Model for Online Laboratories, in: Handbook of Research on Instructional Systems and Technology, Volume II (Terry T. Kidd and holim Song, eds), Information Science Reference, Hershey, New York (2008), pp.768-784.
Bing DUAN, Habib Mir HOSSENIN, Keck Voon LING and Robert Keng Leng GAY, An Architecture for Online Laboratory E-Learning System, Journal of Distance Education Technologies, 4(2), 87-101, April-June, 2006.
Bing DUAN, Keck Voon LING, Habib Mir M. HOSSEINI and Robert Kheng Leng GAY, An e-Learning Model for Lab-based Courses, International Journal of Engineering Education, Vol.21, No.6, pp.1068-1075, 2005
KV Ling, Y Lai and K Chew, An online Internet laboratory for control experiments, in: Advances in Control Education 2000 (L Vlacic and M Brisk, eds), Pergamon, Great Britain (2001), pp.173-176. |
| Dr Liu Shukui | (1) Marine Hydrodynamics
(2) Ship Design and Optimization
(3) Fuel and Environmental Performance Analysis
(4) Dynamics of a ship in Seaways
(5) Ship Stability |
| Dr Loke Yuan Ren | Computer Vision, Image Processing, Machine Learning, Embedded Vision System |
| Asst Prof Lum Guo Zhan | The three main research topics in our lab are: 1. shape-programmable millimeter-scale robots, 2. gallium and 3. flexure mechanisms for high precision applications.
1. Shape-Programmable Millimeter-scale Robots
Shape-programmable robots are machines that can be excited by external stimuli to generate desired time-varying shapes. These robots are especially appealing at small-scale because they have great potential to achieve functionalities unattainable by their rigid counterparts.
As these miniature soft robots can easily access confined spaces within the human body, they show great promise to realize revolutionary biomedical applications such as targeted drug delivery and minimally-invasive surgeries. While there exists many different types of actuation, here we are particularly interested in using remote magnetic fields to control our robots. In contrast to other methods, magnetic actuation offers higher control authority as the actuating fields can be controlled not only in their magnitude but also in their direction and spatial-gradients. Furthermore, this actuation method will be compatible for our targeted medical applications as the actuating magnetic fields can easily and harmlessly penetrate through biological tissues.
Heading towards these biomedical applications, we have previously developed a universal design method that can program the magnetization profile and actuating fields for our robots to achieve their specified functionalities. However, to enhance the practicality of these robots, we will continue to develop new design methods to further enhance their functionalities.
2. Gallium
Gallium is a class of liquid metal that can be attached to millimeter-scale robots to enhance their functionality. In our previous research, we discovered that gallium can exhibit highly reversible and switchable adhesion when it undergoes a solid–liquid phase transition. It has been demonstrated that this liquid metal can become highly adhesive when it freezes and it can conversely lose its adhesion when it melts. These adhesive properties had been characterized, and we experimentally show that gallium has good performance over a wide range of smooth and rough surfaces, under both dry and wet conditions.
Another critical advantage of gallium is that it has a natural layer of oxide, which acts like an elastic membrane surrounding the liquid metal. This oxide layer can effectively conserve the mass of gallium when it is in the liquid-state, and this in turn ensures that gallium can be used repeatedly as a reversible and switchable adhesive. The unique adhesive properties of gallium can therefore allow it to perform various pick-and-place tasks at small-scale, which are critical for numerous applications in transfer printing, robotics, electronic packaging, and biomedicine.
We believe there are still many interesting abilities in gallium, which have not been discovered yet. Therefore, we will continue to explore new abilities of this material and transform them into critical functions for miniature robots.
3. Flexure Mechanisms
Flexure mechanisms are flexible structures that are designed to deliver desired motions via elastic deformations. Due to their unique actuation, these structures can effectively eliminate backlash and dry friction, allowing them to achieve highly repeatable motions. As a result, flexure mechanisms have become the ideal candidates for constructing high precision robotic systems, and they have been deployed across a wide range of applications pertaining to biomedical research, microscopy technologies and various industrial manufacturing processes.
From the design perspective, the performances of many existing flexure mechanisms are still not optimal. Hence, here we will explore new design methods that can successfully address such issues such that engineers can fully utilize such machines. |
| Assoc Prof Mao Kezhi | Machine Learning, Deep Learning for Big Data, Information Fusion, Image/Video Analytics and Scene Understanding, Knowledge Extraction and Discovery |
| Asst Prof Mohamed M. Sabry | - Computer architecture
- AI-based systems design and optimization
- Emerging nanotechnologies
- System-level design and optimization
- Power and thermal management
- Simulation of computing systems
- IoT design and optimization |
| Prof Pang Hock Lye, John | His current research work includes Design-For-Reliability (DFR) assessments, Additive Manufacturing, Laser Metal Deposition Materials-Process-Performance (MPP) characterizations, Elastic-Plastic-Creep mechanics of lead-free (Sn-Ag-Cu) solders, Fitness-For-Service (FFS) assessments of welded joint and offshore structures. His research contributions to design-for-reliability (DFR) methodologies for lead-free solder has been documented in his book on Lead Free Solder : Mechanics and Reliability, Springer, 2012. (ISBN 978-4614-0462-0, e-ISBN 978-4614-0463-7). It covers lead-free solder mechanics, finite element modeling, simulations of failure for thermal cycling, cyclic bending, vibration fatigue and impact drop tests. He has research interest in Digital Image Correlation (AFM/DIC) analysis, Materials characterization, Nano-indentation, CNT applications. |
| Prof Phee Soo Jay, Louis | His current research works focus on Medical Robotics and Mechatronics in Medicine. |
| Assoc Prof Quek Hiok Chai | His main interests includes the research and study of brain-inspired functional and computational models of memory structures that underlie the human reasoning process. In addition, advanced brain-inspired reasoning and cognition frameworks such as focus of attention, affect modeling, skill learning from novice to expert are actively investigated using the neurocognitive informatic approach. Fuzzy, Fuzzy neural, Neural, GA, GA-Neural, Rough set that maps formal fuzzy logical structures onto neural systems to perform fuzzy set derivation and Rule identification/reduction are investigated. The development of architectures that supports on-line and off-line learning fuzzy intelligent rule based systems is examined. The research issues cover fuzzy clustering, learning, modeling, fuzzy rule model, etc. These basic techniques are used to craft the brain-inspired memory learning systems. These memory learning structures are the building blocks of the functional neuro-cognitive brain and they can be broadly classified into huppocampal global semantic memories and neocortical like semantic association memories. In addition, research into CMAC and in-house developed MCMACs and Fuzzy MCMACs are actively pursued. They form a class of cerebellar like association memories that have excellent memory resolution and recall. The application areas are extensive as they rely heavily on the basic research into brain-inspired learning memory structures and brain-inspired cognitive architectures for emotion, cognition and perception modeling. The exciting application areas include computational finance ? arbitration, portfolio, trend analysis, bond and commodity trading; biomedical engineering ? diabetes modeling and control, ICU ventilator control; Affect modeling for edutainment, forensic tools, marketing research tools; Medical decision support tools ? thermograph analysis, pediatric leukemia and ovarian cancer analysis; Intelligent transportation analysis tools ? trend analysis and incident monitoring; as well as student affect modeling in Intelligent Tutoring System. |
| Assoc Prof Sameer Alam | Artificial Intelligence methods for Air Traffic Management and Airport Operations
Machine Learning
Swarm Intelligence and Ant Colony Optimization
Genetic Algorithms and Evolutionary Computation
Multi Objective Optimization |
| Assoc Prof Seet Gim Lee, Gerald | Main research interests are in mechatronics and field robotics, with specific interest in underwater mobile robotics and fluid power systems. A consultant to industry in these areas. Recent research interest includes Unmanned Aerial Vehicles UAV) and collaborative robotic systems. |
| Dr Sellakkutti Rajendran | Dr Rajendran’s current research focuses on computational methods related to novel finite elements, meshless methods, and vibration and buckling of aircraft structures. Some past researches include molecular dynamics (MD) simulation of carbon nanotubes and graphene, computational methods for large eigenproblems, modelling of MEMS gyroscope and delamination buckling of composites. |
| Dr Smitha K G | VLSI design
Digital Signal Processing,
Biomedical Signal Processing
Brain-machine Interface-algorithms and applications,
Low Power Reconfigurable signal processing circuits for Cognitive Radio
Computer Arithmetic |
| Prof Soh Yeng Chai | Robust system theory and applications; Estimation and filtering; Signal and information processing; Hybrid systems and applications; Optical signal processing. |
| Assoc Prof Tai Kang | design automation, design optimization, multiobjective optimization, structural optimization, topology optimization, shape optimization, evolutionary computation, genetic and evolutionary algorithms, computational intelligence, discrete and combinatorial optimization, compliant mechanisms, flexural mechanisms, finite and boundary element analysis, paperboard packaging, folding and unfolding of 3D folded structures, flat pattern design, computational geometry, UAV trajectory planning, sensor network deployment, probability collectives, collective intelligence, system identification, mathematical modeling |
| Assoc Prof Tor Shu Beng | A/P Tor's areas of expertise are in Micro-replication processes, Tooling for micro-replication, Mold and tooling Design and Manufacturing informatics. His current research works focus on Micro Powder Injection Molding and Tooling for Polymeric Microfluidic Devices.
http://www.researcherid.com/rid/F-8930-2010 |
| Prof Vu N. Duong | My research interests are in the junction of Air Traffic Management, Artificial Intelligence, Complex Systems Modelling, and Data Analytics. |
| Prof Wang Youyi | Dr. Wang Youyi's main research interests are in the area of applications of nonlinear control, robust control to power and energy systems, electric drive systems, information storage systems, fuel cell systems, renewable energy systems and MEMS systems. Since he joined Nanyang Technological University in 1991, Dr. Wang keeps actively doing research in many areas and exploring some new research areas. Dr. Wang has made a good contribution and has a good international recognition and reputation in the established research areas of power and energy system control and analysis, hard disk drive systems, drive system control, and renewable energy system modeling and control. |
| Assoc Prof Xavier Bresson | Data Science
Deep Learning
Artificial Intelligence
Computer Vision
Sparse Convex Optimization
Spectral Graph Theory |
| Prof Xie Lihua | Prof Xie's expertise areas include robust control and estimation theory. His current research works focus on networked control, cooperative control, sensor networks, energy efficient buildings, and unmanned systems. |
| Assoc Prof Xie Ming | Intelligent Vehicle, Humanoid Robot, Machine Intelligence. |
| Assoc Prof Yap Fook Fah | MAJOR RESEARCH INTERESTS
1. Mechanics of micro-systems, in particular the dynamic analysis of multi-component
systems for high capacity, high speed data storage. Currently manager of Centre
for Mechanics of Micro-Systems.
2. Virtual prototyping and simulation of complex mechanical systems
3. Dynamics of damped structures and vibration control using magneto-rheological fluid
damping technology. |
| Assoc Prof Yeo Song Huat | Dr. Yeo's areas of expertise are in robotics and mechanisms. His current research works focus on cable-driven mechanisms, motion capture system, and modular robots. |
| Assoc Prof Zhong Zhaowei | Mechatronics and Design; Microelectronics Packaging; Precision Engineering and Nanotechnology; Modelling and Analysis |
