Computer Science and Engineering

This category covers:

Artificial Intelligence
Audio
Computer Graphics and Visualization
Computer Network - Cross Layer Mobility
Computer Security
Computer Vision
Data Mining and Machine Learning
Databases
Distributed Systems
High Performance Computing

Human Computer Interaction
Information Retrieval
Intelligent Agents
Intelligent Robotics and Control
Mobile Media
Modeling and Simulation
Multimedia Understanding
Service Computing
Speech and Signal Processing
Wireless & Smart Sensor Systems

Related Links:
Centre for Computational Intelligence (C2i)
Centre for Advanced Media Technology (CAMTech)
Centre for Multimedia and Network Technology (CeMNet)
Interaction and Entertainment Research Centre (IERC)

Name	Research Interests
Assoc Prof A S Madhukumar	Modulation and multiple access schemes for future broadband systems Advanced signal processing algorithms for wireless communication systems Cognitive radio systems: algorithms and architectures Cooperative Radio Systems for Mobile multi-hop networks Ultra wideband radio systems for wireless personal area networks
Asst Prof Abdulkadir C. Yucel	(i) Fast frequency and time domain electromagnetic simulators with applications to the VLSI/microwave/terahertz circuits, biomedical, photonics, wireless channel characterization, and analysis of highly inhomogeneous media. (ii) Applications of machine learning, deep learning, and uncertainty quantification techniques to the electromagnetics and radar
Assoc Prof Alexei Sourin	Shape modeling, shared virtual environments, haptic interaction, new user interfaces, 3D web visualization, virtual surgery, scientific visualization, music visualization.
Prof Alois C Knoll	Due to the major involvement in the Human Brain Project HBP, a European flagship project, over the last years his research focus has shifted more and more towards neurorobotics. With the neurorobotics platform, a sophisticated tool has been created that will allow both basic researchers in neuroscience and engineers in robotics to integrate their latest insights in theory and practice into fully operational applications for research and development. It can be expected that this platform will serve as a productivity booster both for virtual neuroscience and robotics. • Multimodal human-robot interaction • Neurorobotics • Sensor, sensor data processing, sensor fusion • Medical robotics • Natural-Language based retrieval and fusion of multimedia information • Intelligent/Autonomous vehicles and multimodal mobility concepts
Dr Althea Liang	Two-way and multi-way data analytics and middleware support for Web Services, cloud computing AI and machine learning and its applications in service and cloud computing and supporting frameworks
Assoc Prof Andy Khong Wai Hoong	Microphone array signal processing Speech enhancement Learning analytics Machine learning algorithms for NLP applications
Assoc Prof Anupam Chattopadhyay	Computing Architecture Design Automation Security Emerging Technologies
Assoc Prof Anwitaman Datta	My research interests span the topics of large-scale resilient distributed systems, information security and applications of data analytics. Some of my distinctive and pioneering research contributions which have preceded and influenced new lines of research in respective research communities include: (i) decentralized online social networks for privacy and censorship resistance, (ii) novel erasure codes tailor made for distributed storage systems --- self-repairing (locally repairable) erasure codes, erasure codes with elastic redundancy, and codes exploiting cross-version sparsity to efficiently store multiple versions of data, and (iii) the application of machine learning and stereotyping to computational trust. I have also contributed to well established research topics, spanning security and privacy, distributed data stores, collaborative systems, social network analysis, decision support applications and cryptocurrency forensics.
Asst Prof Arijit Khan	Big-graphs management and analytics, with a focus on user-friendly, online querying and pattern mining in social and information networks, using scalable algorithms and machine learning techniques. keywords: big-graphs, big-data, graph-systems, knowledge graphs, uncertain graphs, graph streams, databases, data mining, machine learning, algorithms.
Assoc Prof Arvind Easwaran	Cyber-Physical Systems (CPS) encompass systems in which the cyber world of computation and communication closely interacts with the physical world of sensors and actuators. These are highly networked and deeply embedded systems such as those found in modern day aircrafts, automotives, factories, medical devices, smart phones, electric grids, etc. From driver-less cars and air traffic management using sense and avoid, to plug-and-play operating rooms and smart electric grids that integrate traditional and renewable energy sources, intelligent automation of an enormous scale is finding its way into many of these systems. Current interests of the CPS Research Group @SCSE,NTU are in the design of cyber-infrastructures for CPS, especially for systems with time-critical functionalities (i.e., real-time systems). The research themes can be broadly classified as follows: Real-Time Systems Model-based Design Methodologies Energy Management
Asst Prof Bei Xiaohui	Computational economics, social networks analysis and general algorithm design.
Assoc Prof Benjamin Seide	• Virtual cultural heritage: Exploring state-of-the-art virtual reality (VR) technologies for the benefit of promoting cultural heritage to a broader audience with “edutainment” applications • Immersive technologies: 360 ̊ video experiences, 3D stereoscopy, dome projections and state-of-the-art virtual reality (VR) applications at the intersection of media art and technology • The art and science of visual effects and its role as an aesthetic and narrative device in filmmaking
Prof Bernhard Schmidt	Finite Geometry Coding Theory Algebraic Number Theory Computing
Assoc Prof Bo An	Artificial intelligence, multiagent systems, computational game theory, reinforcement learning, and optimization
Prof Cai Wentong	Prof Cai's research mainly focuses on the intersection between Computer Science and M&S. The current research interests include: performance and scalability of discrete event simulation, large-scale distributed virtual environment and cloud gaming, dynamic data-driven agent-based modelling and simulation, and agent-based simulation applications (e.g., crowd and traffic simulation).
Assoc Prof Cai Yiyu	His interest in Interactive & Digital Media (IDM) mainly includes Tactile/Haptic VR System Design, GPU-accelerated Digital Media Processing, Serious Games and Simulation, and Computer-aided Design. He has been doing research in the intersection of IDM, and Bio & Medical Sciences covering from Computer-assisted Surgery to Volumetric Cellular Image Processing to Phase I/II Drug Clinical Trial Design to Protein Docking. In MedTech field, he pioneered the research and development on Cardiovascular and Intracardiac Interventional Simulation for pre-treatment planning and training application. He is also active in industry-oriented research working closely with Engineering and Education sectors.
Assoc Prof Cham Tat Jen	Tat-Jen’s research interests are broadly in computer vision and machine learning. Currently, his BTC team has focused on high-fidelity 3D dynamic reconstruction of humans and room environments with casually placed sensors, via deep learning approaches for semantic understanding to enable accurate reconstruction in the presence of clutter, occlusion and limited sensor coverage. His previous work includes image-based localization in urban environments, object matching and registration, human tracking, activity recognition, as well as projector-camera systems to turn all surfaces into ubiquitous interactive displays.
Dr Chan Chee Keong	Currently, Dr Chan is attached to the Information Engineering Division, lecturing in subjects related to computer systems, artificial intelligence, software engineering and cyber security. Through his years in NTU, he has published about 30 research papers in conferences, journals and book chapter. Dr Chan has also provided numerous consultations to the industries. His current research interest areas include data mining (text and solar radiation data mining), evolutionary algorithms (scheduling and games) and renewable energy.
Assoc Prof Chan Syin	Dr Chan Syin's research interests include multimedia information retrieval, web information extraction, ontology applications and multimedia understanding.
Assoc Prof Chang Chip Hong	Assoc. Professor Chang current research interests are Hardware Security, Residue Number Systems, Low-power, Low-voltage and Fault-tolerant Arithmetic Circuits, Design Automation of VLSI Digital Circuits and Application-specific Digital Signal Processing Algorithm and Architectures.
Prof Chang, Joseph Sylvester	Joseph Chang is multi-disciplinary engineer with research encompassing core CAS-related fields including analog, digital and aerospace circuits/systems; biomedical/life-sciences related-fields; and the emerging printed-electronics. He received the B.Eng (ECE) from Monash University, and Ph.D. from the Department of Otolaryngology, Faculty of Medicine, University of Melbourne, and has two-years IC-related industrial-experience. He is currently with the Nanyang Technological University, Singapore (and Adjunct at Texas A&M). He has contributed to senior university administration and to ECE undergraduate/graduate education. He was the inaugural Associate-Dean of Research-and-Graduate-Studies at the 660 faculty-strong College-of-Engineering. For undergraduate education, he emphasized on promoting and instilling undergraduates’ interest in ECE, including being the chair of the Undergraduate-Research-Experience-on-Campus and Undergraduate-Research-Opportunities-Program programs, chaired Orientation-Programs and national-level undergraduate-conferences, and has given several talks in high-schools. In the IEEE, he contributed to both core and multi-disciplinary fields, including as Guest-Editor of the Proceedings-of-the-IEEE on ‘Computational System-Biology’, Guest-Editor of the CAS-Magazine on ‘Special-Issue on Life-Sciences’, Editor of the CAS-Magazine’s Open-Column, Chairperson of the IEEE-NIH Life-Sciences-Systems-and-Applications (LiSSA) Workshop, Chairperson of two IEEE-NIH CAS-Medical-and-Environmental (CASME) Workshops, Chairperson of the LiSSA Technical-Committee, Associate-Editor of IEEE TCAS-I (3-terms) and -II, Associate-Editor of the IEEE CAS-Magazine, Distinguished-Lecturer, etc. Of specific interest, he organized the successful merging of the BioCAS and LiSSA technical-committees, largely for CAS’s concerted/united life-sciences efforts. He was instrumental in several non-IEEE establishments’ engagement in CAS’s activities, including other IEEE societies, National-Institutes-of-Health, Telemedicine-and-Advanced-Technology-Research-Center, American-Institute-of-Medical-and-Bioengineering, etc. Impact thereto includes NIH’s request for each of their 27 institutes a copy of the aforesaid CAS-magazine’s special-issue, representation by different IEEE societies at the IEEE-NIH workshops and NIH financial support for CASME. He has published over 200 referee-reviewed publications (primarily in IEEE) and has over 20 patents (awarded/pending). In the field of ‘Class-D amplifier’, he has the most number of publications in the IEEE; and the top-ranked paper (excluding patents) and four of the top six papers in ‘Digital Class-D Amplifier’ in Google Scholar. He has received numerous grants from local and international funding-agencies (including DARPA and the EU) and from industry, amounting to >US$10M. He has founded two startups, and has designed numerous ECE-related products for industry. His research interests are largely emerging technologies, including bioengineering, microfluidics, audiology, psychoacoustics, and analog and digital circuit designs. He leads a group of 25 researchers - externally funded - including from DARPA (USA) and from the European Union. Some description of his work may be found in the following editorials of the Proceedings of the IEEE and the IEEE Circuits and Systems Magazine (where he served as a Guest Editor): J. Chang, S. Wong, R. Newcomb and P. Häfliger, ‘Third Revolution in Medicine – the Convergence of Life Sciences with Physical Sciences, Mathematics and Engineering’, IEEE Circuits and Systems Magazine, Special Issue on Life Sciences, Aug 2012 S. Wong, M. Ogorzalek and J. Chang, ‘Editorial on the Special Issue on Computational Systems Biology’, The Proceedings of the IEEE, Aug 2008
Assoc Prof Chen Change Loy	Dr Loy's research interests include computer vision and deep learning. Homepage: http://www.ntu.edu.sg/home/ccloy/ Google Scholar Profile: https://scholar.google.co.uk/citations?user=559LF80AAAAJ&hl=
Assoc Prof Chen Chun-Hsien	Assoc Prof Chen Chun-Hsien's areas of expertise are Industrial/Product Design, Knowledge Engineering, and Decision Support Systems. His current research work focuses on collaborative/human-centric/consumer-oriented product design and development, knowledge management, decision support systems and artificial intelligence in product/engineering design.
Assoc Prof Chen Lihui	Dr. Chen's research interests include machine learning algorithms/soft computing (fuzzy logic and neural networks) with applications to data mining, web intelligence, image processing and pattern recognition. She has been actively working in those areas for many years on projects at various levels. Currently her research focus is on some basic researches in data mining as well as its applications which may have significance in information search and retrieval on Internet. Ongoing Research Projects: . Machine Learning and Mining Techniques for Web Intelligence, Information Retrieval . Clustering Methods in Text/Web Mining . Novel techniques for Document Summarization
Mr Chew Chee Hua, Neumann	1. Analytics 2. Data Science 3. Machine Learning 4. Artificial Intelligence
Assoc Prof Chia Liang Tien	His research interests can be broadly categorized into the following areas, Internet related research with emphasis on the Semantic Web, Multimedia Understanding through media analysis, annotation and adaptation, Multimodal data fusion and Multimodality Ontology for Multimedia.. He has published over 100 refereed research papers.
Assoc Prof Chng Eng Siong	Specialisations include: speech and signal processing, microphone arrays and pattern classifications.
Assoc Prof Chong Yong Kim	Prof Chong's areas of expertise are Parallel and Distributed Multiprocessor Systems, Adaptive and Active Noise Control, and DSP-based Audio and Image Processing. His current research works involves Perceptual Subband DCT JPEG Image Coding System, DSP-Based Digital Media Processing and Integrated Headsets using the Adaptive Hybrid Active Noise Control System.
Prof Cong Gao	Geospatial, Textual, and Mobility Data Management Data Mining, Large Scale Data Analytics Mining Social Networks and Social Media User Preference Modeling and Recommendation Urban Informatics
Assoc Prof Deepu Rajan	Image and video processing, computer vision, multimedia signal processing.
Assoc Prof Douglas Leslie Maskell	Associate Professor Douglas Maskell conducts research in the areas of reconfigurable computing systems, algorithm acceleration, embedded applications & architectures and renewable energy. He is an active member of both the Energy Research Institute @ NTU (ERI@N) and the Centre for High Performance Embedded Systems (CHiPES). His principle research focus is in the area of reconfigurable computing. In particular, he examines research problems that aim to overcome the emerging challenges introduced by the trend to incorporate reconfigurable fabrics into embedded and performance computers so as to significantly improve the overall performance of the computing system. This effort involves the development of tools, algorithms & architectures and system level modelling, simulation & design to improve the performance & management of the computing resources. Research areas include: efficient utilisation of FPGA hardware & architecture resources for rapid and near routeless placement & fast configuration; system resource management & inter-module communications for run-time hardware systems and involves investigations at the tools, algorithms and architecture levels. He also applies his modelling and simulation expertise to projects in the renewable energy field. This initiative examines PV module and systems efficiency in tropical climates. Specifically, this work investigates: novel algorithms and architectures for maximum power point tracking, including hybrid architectures, operating under partial shading conditions and sudden irradiance changes; inverter architectures; and concentrated PV (CPV) systems.
Prof Dusit Niyato	- Wireless communications and networking, specifically, dynamic spectrum access and spectrum trading in cognitive radio. - Mobile computing, parallel and distributed systems, specifically, resource management in heterogeneous wireless network and wireless intelligent transportation system. - Queueing theory and Markov chain with an application in performance evaluation of communication systems. - Evolutionary theory with an application in mobile communication and computing.
Prof Er Meng Hwa	1. Array Signal Processing - Robust Broadband and Narrowband Beamforming Techniques - Basic Array Theory & Pattern Synthesis Techniques - Partially Adaptive Array Design - Microphone Array Design - Audio Beam Loudspeakers 2. Image Processing and Computer Vision - Image Processing of VLSI Chips - Images Resolution Enhancement Techniques - Medical Imaging 3. Satellite Communications - LEO Satellite Communications Technology 4. Optimization Techniques - Constrained and Unconstrained Optimization Techniques 5. DSP Applications & Implementations - Surround Sound System - RSA Cryptosystem - Microphone Array - Audio Beam Loudspeakers Secured and completed a total of 24 research projects with an accumulative grant of $20,873,595.
Assoc Prof Erik Cambria	sentic computing sentiment analysis commonsense reasoning natural language understanding
Assoc Prof Feng Qu	Econometrics, Chinese economy, Financial Markets, Machine Learning Applications in Economics and Finance
Prof Foo Shou Boon, Schubert	Professor Schubert Foo's research areas cover multimedia technology, Internet technology, multilingual information retrieval, digital libraries, information literacy, knowledge management and social media innovations.
Assoc Prof Francis Charles Bond	Francis Bond's areas of interest are: Machine Translation, Deep Parsing, Word Sense Disambiguation, Computational Lexicography and the linguistic phenomena of Definiteness, Number, Countability and Numeral classifiers. His current research work focuses on parsing English, Japanese and Korean with head-driven phrase structure grammars; word sense disambiguation with WordNet; constructing a Japanese WordNet and other lexicons.
Assoc Prof Goh Hoe Lian, Dion	Dion Goh has extensive experience in the areas of social media practices and perceptions, gamification techniques for shaping user perceptions and motivating behavior, and mobile information sharing and seeking.
Assoc Prof Goh Wooi Boon	Human Computer Interaction, Computer Vision
Asst Prof Gu Mile	One of the most remarkable facts about the universe is that it can be simulated on a computer. No matter what systems we study, whether it is the dynamics of planets or that of fluids, the rise of fall of tides or stock markets, they all can be simulated by a computer. This fact fascinates me. After all, a computer is typically built out of silicon; it runs via the electro-magnetic force. What a priori reason would it allow us to understand the motion of planets governed by gravity, fundamental particles govern by the strong and weak force? This universality is, when you think about, rather remarkable. Somehow, everything we know around us, can be reduced to the processing of information. My research interests are motivated by this remarkable observation. Can we find interdisciplinary laws that span multiple disciplines through the understanding of how nature fundamentally processes information? Some current directions: On outset, Quantum and complexity science appears to be very different. The former details with objects at the atomic scale – atoms, electrons and photons. The latter, on the other hand, is typically associated with macroscopic systems is many interacting components – the weather, traffic, stock markets. Yet the two science, in fact, an intimately linked; both are bring transformed by the study of information. In quantum science, new information theoretic techniques have allowed the `second quantum revolution’; heralding exciting new quantum technologies such as quantum cryptography and quantum computation. Meanwhile, in complexity science, researchers’ new ways of understanding just how massive systems interact with each other by seeing how they transform and process bits of data. My interest is to unite these two fields – by forging new connections. Can quantum computation lead to new ways of understanding complex systems? Can the use of methods of complexity science help us understand how quantum computer’s get their power and bring forth new quantum technologies? For more information, see https://www.newscientist.com/article/mg22429950-200-quantum-logic-its-simpler-to-be-two-things-at-once What Makes Quantum Computers Powerful? What are the resources behind Quantum Advantage? Quantum computers are heralded to do many things that classical computers cannot, but what resource powers this advantage? For a long time, people thought that the main culprit is quantum entanglement – the unique quantum phenomena where the realities of two spatially separated particles are closely linked. Yet we now see that this may not be the full story. DQC1, for example, seems to allow us to compute the normalized trace of an exponentially large matrix in efficient time – and yet contain negligible entanglement. Meanwhile quantum illumination allows the better detection of faint particles far away in regimes so noisy that entanglement cannot survive. What other resources are associated with improved quantum advantage? We are interested in this question both for practical and foundational concerns. On the one hand, it can lead to noise resilient quantum technologies; on the other it may tell us fundamentally what is quantum.
Prof Guan Cuntai	• Brain-Computer Interface • Machine learning • Data Analytics • Artificial Intelligence • Neural Signal Processing • Neural Image Processing • Neural Cognitive Process and Rehabilitation
Asst Prof Guo Jian	- Symmetric-Key Cryptography - Cryptanalysis - Quantum Attacks - Lightweight Cryptography - FHE/MPC Friendly Designs
Assoc Prof Gwee Bah Hwee	 Asynchronous Circuits  Physical Hardware Attack  Hardware Assurance  Machine Learning  Image Processing  Class-D Amplifiers  DC-DC Converter
Assoc Prof Hans-Martin Rall	Research profile Asst/Prof. Hans-Martin Rall Asst/Prof. Rall's research interests are mainly in the areas of digital animation development and interdisciplinary research in art and technology. He is a renowned director of independent animated short films, with 8 major film-funding grants awarded to him by German and European institutions. Since 1997 Hannes Rall has built a strong reputation for adapting literature successfully in his animated short films: “The Raven“ (1999) and ”The Erl-King“(2003) , adapted from the famous poems by E.A. Poe and J.W. von Goethe respectively, have been screened in over 120 film festivals  world wide and won multiple awards. His work was shown in group-and solo-shows in galleries in 20 countries worldwide since 2004. -Tehran Museum of Contemporary Art -National Museum Singapore -State Gallery of the Arts Stuttgart, Germany -Bangkok International Film Festival -Académie Libanaise des Beaux-Arts, Beirut -Egyptian Opera House, Metrogalerie, Kairo -Cinematheque. Tel Aviv -Goethe-Institut Damaskus -Goethe-Institut Ramallah -Seika Art Academy, Kyoto -Osaka European Film Festival -Auckland University of Technology, NZ -Pataka Museum Wellington, NZ -Muzium dan Galeri Seni Universiti Sains Malaysia, Penang "Tradigital Mythmaking": -Goethe-Institut Singapore/Singapore International Film-Festival -Goethe Institut Kuala Lumpur/Univesrsiti Teknologi Mara Kuala Lumpur Asst/Prof. Rall was awarded a 86 000,- SD tier 1 research grant by NTU in 2006. “Tradigital Mythmaking-Singaporean-Animation for the 21st Century” : In this project Prof. Rall explores the development of genuinely Southeast Asian animation styles, which are not derived from Western or Japanese concepts. His book “Tradigital Mythmaking” was published in Singapore in 2009. In 2010 he was awarded a second tier 1 research grant in the amount of SD 150 000,- to continue and expand his research in “Tradigital Mythmaking-The Next level”: In close cooperation with the Co-PI Prof. Seah Hock Soon from the School of Computer Engineering, Asst/Prof. Rall is exploring the development of digital tools for the adaptation of Asian mythological stories in local art styles. External research funding 2007 Film production funding by the Film Funding Board of Baden Württemberg (MFG Filmförderung) for the film “The Cold Heart” 2004 Script-development funding by the MFG Baden-Württemberg for the animated shortfilm „THE COLD HEART“. 2003 Reference-filmfunding for the film ”The Erl-King“ by the FFA Berlin. 2000 Production-funding for „The Erl-King“ MFG Baden-Württemberg 2000 Production-funding for “The Erl-King”by the Kuratorium Junger Deutscher Film. 2000 Reference-funding for “The Raven”by FFA, Berlin 1997 Production-funding for the short film “The Raven”by the MFG Baden-Württemberg 1994 Script-development funding for animated series „Dicki“ by MEDIA-program Research areas: -Exploring Asian culture and history to develop unique and original animation styles, which are not derived from Western concepts. (Current research project: “Tradigital Mythmaking”) -Development and application of new digital technology to visualize Asian art styles in animation (Current research project: “The Living Line” Co-PI: Prof. Seah Hock Soon SCE, 10 000,-SD mini seed grant by Institute for Media Innovation NTU) -The adaptation of literature for animation (Current research project: “The Cold Heart”, 25 minute animated short film adapted from the novel by Wilhelm Hauff, 90 000,- Euro film-funding grant by MFG Baden-Wuerttemberg). -Marketing animated short films in the 21st century (URECA research project) -History of German animation -History of Southeast Asian Animation
Assoc Prof He Ying	Prof He's research interests include computer graphics, computer-aided design and scientific visualization. His current research works focus on computational conformal geometry and its applications to computer graphics.
Prof Huang Guangbin	Extreme Learning Machine, Neuroscience, machine learning theories and algorithms, human-computer interface, data analytics, video analytics, robotics.
Dr Huang Shell Ying	simulation based optimization heuristics, metaheuristics, computational science, computational logistics and intelligent decision support systems.
Assoc Prof Hui Siu Cheung	Assoc Prof Hui Siu Cheung's areas of expertise are data mining, Web mining, information retrieval, natural language processing, mathematical data mining, intelligent tutoring systems and Semantic Web. His current research works focus on information retrieval, text mining, natural query processing and Semantic Web.
Assoc Prof Ina Conradi Chavez	Area of research: -Public Art -Fine Art -Procedural Interactive Installation -Computer Generated Animation -Digital experimental animation - Stereoscopic 3D - Interactive Media -360 Immersive Media Displays The research delves into an exploration of trandisciplinary visual art media, researching and integrating emotive and subjective abstract image making in digital, traditional and non-traditional forms. Drawing on the ideas of the merging of digital painting, avant-garde film-making and sound cultures, current work aims to craft immersive, interactive and 3D animated installation using digital image, seeking innovative convergence of art and technology to transform spaces into novel experiences. 11.2011-10.2017 MOE AcRF Tier 1 “Immersive Animated Canvas: Merging New Media Art and Technology for Immersive Cinema and Visualization Experiences", PI Ina Conradi (Asst Prof), Co-Pi Ben Alvin Shedd, (Professor) NTU ADM 1.3.2011-28.02.2014 MOE AcRF Tier 1 RG 55/10 (M52090031) "3D Stereo Animated Pictorial Space: Towards New Aesthetics in Contemporary Painting" PI Ina Conradi (Asst Prof), Co-Pi Dr Xiao Wei Sun, EEE (Assoc Prof) NTU 15.8.2011--31.12.2013 IMI Seed Grant, (M4080760.B40) "Unframed", PI Ina Conradi (Asst Prof), Co-Pi Mark Chavez (Asst Prof) NTU ADM 01.01.2008-28.2.2010 MOE (AcRF) Tier 1 RG105/10 (M52090000) “Digital Imaging in Singapore", PI Ina Conradi (Asst Prof) NTU ADM 02/2009-02/2011 MOE (AcRF) Tier 1 “Exploring kinetoaudiovisual parameter mapping strategies for virtual instrument performance and interactive installation,” PI Per Magnus Lindborg, Co-PI Ina Conradi Chavez (Asst Prof), NTU ADM (5% Involvement) 01.10.2010-30.11.2011 IMI Seed Grant, (M4080629.B40) "Stereo Pictorial Spaces", PI Ina Conradi (Asst Prof) Co-Pi Dr Xiao Wei Sun, EEE (Assoc Prof), NTU ADM 01.12.2010-31. 05.2012 IMI Seed Grant: “EEG-based Immersion and 3D Interaction: E-learning, Art, and Medical Application”, PI Olga Sourina Co-PI Ina Conradi (10%) NTU ADM
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.
Asst Prof Jarkko Salojarvi	My research group studies population genomics and systems biology in tree species. A particular interest is the link between microevolution and macroevolution, that is, local selection in populations versus long-term evolution at genome level. In order to study these phenomena, we are using statistical modeling and combining different -omics data sources. The group is currently divided into two countries, in Finland we are studying mainly silver birch (Betula pendula) as the model system for boreal forest trees, whereas at NTU the focus is on tropical trees.
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.
Assoc Prof Jong Ching Chuen	High-level Synthesis; Rapid Prototyping of VLSI systems; Reconfigurable systems;
Asst Prof Joty Shafiq Rayhan	Natural Language Processing - Discourse Processing - Question Answering - Machine Translation - Text Summarization - Sentiment Analysis Machine Learning - Probabilistic Graphical Models - Deep Learning - Reinforcement Learning - Representation Learning
Asst Prof Ke Yiping, Kelly	• AI and machine learning: transfer learning, machine learning for physics modelling • Big data analytics: focusing on big data variety • Data mining: network/graph analytics, clustering, correlation mining, text mining, stream mining • Data management: indexing and query processing on large-scale graph data • Applications: business analytics, computational fluid dynamics, bioinformatics
Assoc Prof Kong Wai Kin Adams	His major research interests include pattern recognition, image processing and biometric security.
Assoc Prof Kwoh Chee Keong	Development of a Computer Prediction System For Rational Design Of HLA-Based Peptide Vaccine; Data Mining and Analysis on Infectious Disease Heterogeneous Multi-Core Systems For Bioinformatics Constrained Optimzation for Bioinformatics Protein Interaction Network Analysis Using Graph Mining Approaches
Prof Lam Kwok Yan	Distributed Systems Security, Cyber Security, Multi-modal Biometrics in Homeland Security, Enterprise Architecture, Biometric Cryptography, Critical Information Infrastructure Protection (CIIP).
Asst Prof Lam Siew Kei	Custom Computing; High Level Synthesis; Heterogeneous and Reconfigurable Computing Systems; Embedded Vision and Autonomous Systems
Asst Prof Lana Obraztsova	Computational social choice and economics, algorithmic game theory.
Dr Le Hai Khoi	Dr. Le Hai Khoi's areas of expertise are Complex Analysis in Several Variables, and Mathematical Foundations of Information Technology. His current research works focus on a theory of representing systems and Dirichlet series in several complex variables as well as applications to functional equations. He also works on some problems related to harmonic functions.
Assoc Prof Lee Bu Sung	Grid/Cloud Computing especially in the area of scheduling and scalability in data intensive application. Computer Network especially in the area of SDN, wireless ad hoc network, Quality of service. Research Awards: Chonho Lee, Liu Yi, Li-Hau Tan, Weihan Goh, Bu-Sung Lee, Chai-Kiat Yeo, “A wavelet entropy-based change point detection on Network traffic”, 1st International workshop on Enterprise Security 2014. Held in conjunction with IEEE Cloudcom 2014. Singapore(3rd Prize in Best Paper award). Shanjiang Tang, Bu-Sung Lee, Bingsheng He “DynamicMR: A Dynamic Slot Allocation Optimization Framework for MapReduce Clusters” . IEEE Transactions on Cloud Computing. 2014 Abhishek Gupta, Laxmikant Kale, Filippo Gioachin, Verdi March, Chun Hui Suen, Bu-Sung Lee, Paolo Faraboschi, Richard Kaufmann and Dejan Milojicic, “The Who, What, Why and How of High Performance Computing in the Cloud”, 5th International conference on IEEE Cloud Computing Technology and Science, Dec 2013, Bristol, UK.(Best Paper Award) Henry Kasim, Terence Hung, Erika Fille Tupas Legara, Kee Khoon Lee, Xiaorong Li, Bu-Sung Lee, Vicknesh Selvam, Sifei Lu, Long Wang, Christopher Monterola, and Vasundhara Jayaraman, “Scalable Complex System Modeling for Sustainable City”, 6th IEEE International Scalable Computing Challenge (SCALE 2013) held in conjunction with the 13th IEEE International symposium on Cluster, Cloud and Grid Computing(ccGrid 2013) at Delft, Netherland. 13-16 May 2013. (1st prize winner of the Scalable Computing challenge) Markus Kirchberg, Ryan K L Ko, Bu-Sung Lee, 2011 “From Linked Data to Relevant Data -- Time is the Essence” 1st International Workshop on Usage Analysis and the Web of Data (USEWOD) held in conjunction with the 20th International World Wide Web Conference (WWW), 2011, Hyderabad, India. (Best Paper Award) Dang Duc Nguyen, Teck Meng Lim, Chai-Kiat Yeo, Bu-Sung Lee, 2010 “Seamless Handoff in Heterogenous Network for VoIP application,” The Second International Conference on Advances in Future Internet(AFIN2010), July 18-25, 2010. Venice, Italy (Best Paper Award)
Assoc Prof Lee Yong Tsui	His research interests lie mainly in computer related areas, such as computer graphics, geometric modeling, computer-aided design and manufacturing, and related applications. More specifically, he current focus is in computer-aided conceptual design, looking at the problem of converting design sketches into 3D models, which can then be ?beautified? to become CAD models. He is also studying the simulation of vehicle collisions, as an impartial assistant to judicial litigation on road accident cases.
Assoc Prof Li Boyang	My research interests lie in Computational Narrative Intelligence, Multimodal Learning, and Machine Learning. Narrative Intelligence is a central cognitive ability and a hallmark of human intelligence. I believe that in order to simulate human intelligence, artificial intelligence must first acquire human-level knowledge from an approximation of the human experience, which is inherently multimodal. Further, inspired by the observation that human intelligence emerges from the interaction of multiple cognitive processes, I am interested in understanding the interactions between different neural network components and developing techniques that coordinate the learning of different neural network components beyond simplistic stochastic gradient descent.
Dr Li Fang	Her research interests include image processing, image retrieval, pattern recognition, human-computer interaction, computer networks, and network security.
Assoc Prof Li Kwok Hung	Dr. Li Kwok Hung's research interest has centered on the area of digital communication theory with emphasis on spread-spectrum communications, mobile communications, coding and signal processing. His current research works focus on performance studies of (i) cooperative communications; (ii) space-frequency codes for multiple-input-multiple-output systems; (iii) fast frequency hopping (FFH) over frequency-selective fading channels; and (iv) ultra-wideband (UWB) systems.
Prof Li Mo	Networked and distributed systems, wireless and mobile, Internet of Things (IoT), smart city and urban computing
Asst Prof Li Yi	Algorithms for massive data sets, data streaming algorithms Low-distortion metric embeddings Compressive sensing and signal processing Theoretical computer science
Asst Prof Li Yi	Dr. Li's research mainly focuses on program analysis and automated reasoning techniques with applications in software engineering and software security. These include software model checking, bug finding, security testing, software evolution and maintenance.
Assoc Prof Lim Meng Hiot	Computational intelligence, reconfigurable hardware systems, computational finance, evolutionary learning, memetic computing
Assoc Prof Lim Yee Fen	All aspects of law and ethics connected with technology, including Artificial Intelligence (AI) law, Autonomous Vehicles law, Internet law, data protection law, privacy law, data analytics law, intellectual property law, cybersecurity and cybercrime law, e-commerce law, tort law, encryption law, and electronic signatures law. Hannah also has a special interest in ethics and moral philosophy, especially its role in guiding law and law making.
Assoc Prof Lin Feng	Dr Lin's research interest includes biomedical informatics, biomedical imaging and visualization, computer graphics, and high-performance computing. Currently active funded projects include: AcRF - Nonrigid graphics shaders for GPU, AcRF - Physiologically-Based Modelling and Visualization of a Beating Heart, AcRF - Properties and Interactions of Functional Modules of the Human Brain Across the Life Span, AcRF - Computational Optical Precision Measurement, AcRF - Elucidate Novel Roles of Unliganded Progesterone Receptor in Breast Cancer, National Science Foundation - Size Detector of Bio-nanoparticles Integratable to Microfluidics, AcRF - In Silico Modelling of Ageing and Stem Cell Based Rejuvenation on Waddington’s Epigenetic Landscape. Completed projects include: AcRF - Full Field Optical Measurement for Transient Phenomena, A-Star/BMRC - Creating an In Vivo Navigational Cellular Fluorescence Imaging System with Dynamically Optimized Endomicroscopy, AcRF - Real-time Diagnostic Endomicroscopy, A-Star/SERC - Collaborative Creation and Application of Interactive Digital Media over the Internet, AcRF - Cellular Fluorescence Imaging with Endomicroscopy, AcRF - Dynamically Adaptable Neurocomputer and Its Application to Recognition of Steroid Hormone Response Elements, SingHealth Foundation Development of a Real-time Fluorescence Endoscopy Diagnostic System for the Early Detection of Oral and Bladder Cancers, NTU/BPE Cluster SEED Funding - Gene Expression Profiling with Oligonucleotide Microarray Technology, SCE ER Lab Research Programme Grant DNA Chip Design Programme, BMRC&NMRC Joint Research Fund - Elucidation of Expression Profiles of Genes in Alpha-fetoprotein Positive and Alpha-fetoprotein Negative Hepatocellular Carcinoma by cDNA Microarray Analysis, AcRF - Design and Simulation of Artificial Bone Implantation, NMRC Research Fund -Nasopharyngeal Carcinoma: 3D Imaging for Staging and Treatment Planning, AcRF - Design and Development of Bio-medical Devices Using Rapid Prototyping (RP) Techniques, AcRF - Real-time Dynamic Simulation, MOH & Singapore Totalisator Research Fund - Transforming Medical Ultrasound Scanning into 3-Dimensional Real-time Organ Imaging to Aid Clinical Diagnosis.
Asst Prof Lin Guosheng	My research interests are in machine learning and computer vision applications, particularly in visual recognition applications.
Asst Prof Lin Shang-Wei	Dr. LIN’s research interests can be classified into two main categories: theoretical and practical computer science. In the theoretical part, he focuses on formal methods including model checking and theorem proving. Currently, he is working on automatic compositional verification techniques to alleviate the state explosion problem with respect to model checking. In the practical part, he focuses on embedded system design, multi-core embedded software development, and application framework design on cyber physical systems.
Prof Lin Weisi	image processing, perceptual modeling, video compression, multimedia communication and computer vision
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.
Asst Prof Liu Weichen	Embedded and Real-time Systems Many-core systems Electronic/Photonic Network-on-chip Computer Architecture
Prof Liu Yang	For cybersecurity, we are working at malware modeling, detection, classification and generation with the focus on Javascript malware, desktop malware and Android malware. We are developing tools for vulnerability modeling and detection using machine learning and (both static and dynamic) program analysis on binary code. In our Securify research project (2015 - 2020), we are performing formal verification on security system from hardware, hypervisor, programs to security protocol using different verification approaches. Recently, we embark on the research on Automotive Security and autonomous vehicle Security in their security design, runtime security monitoring and response, and also the security testing and certification. For software engineering, we are working on the topics related to program specification learning and model learning, performance analysis, Android energy analysis, reliability analysis, code clone analysis, program debugging, program testing, automatic loop analysis, testing and validating deep learning algorithms using techniques like model checking, symbolic execution and machine learning. We are building tools related to these aspects. For Android system, we have been working on security analysis on App malware detection & classification, generation and data analytic, App vulnerability analysis, App testing, Android OS testing and fuzzing, and Automatic UI generation. For multi-agent systems, we are working on the topics related to formal modeling of various multi-agent systems, particularly trust management systems and their analysis in correctness, security and robustness. For big data, we are promoting the concept called event analytic based on behavior learning and analysis, and their applications in sports and finance systems.
Asst Prof Liu Ziwei	Computer Vision, Machine Learning, Computer Graphics.
Dr Loke Yuan Ren	Computer Vision, Image Processing, Machine Learning, Embedded Vision System
Asst Prof Long Cheng	• Spatio-temporal data analytics • Urban informatics and computing • Graph data mining • Big data analytics • Data management, mining and learning
Assoc Prof Louis-Philippe Demers	To investigate Design, Digital Media and Media Arts from the interactive and embodied media perspectives. To investigate Artistic, Aesthetic and Technological impact of digital media on humans under the following paradigm: As digital media, pervasive and ubiquitous computing are increasingly being part of our every day life, the researches focus on the human - the role of the body - at various levels of the digital domain experience. Beyond the sole paradigm of Human Computer Interfaces (HCI), these researches will analyze and implement projects across the spectrum of Art & Design while correlating those to the spectrum of being close to the body -objects-, to a broader sphere -space- and finally to a global container -culture-. Keywords: Social and Emotive Robotics, Entertainment Robotic, Robotic Toys, Hybrid Media, Interactive Media, Interaction Design, User Experience, Intelligent Objects, Wearable, Physical Computing, Ubiquitous Computing, Kinetic Architecture, Public Space, Public Art, Tangible Media, Haptic Devices, Multi-Touch, Surface Computing, Multi-User Environments, Theatre, Stage Design, Lighting Design, Live Performance Technologies, Augmented and Mixed Realities.
Asst Prof Lu Shijian	Image and Video Analytics Visual Intelligence Cognitive Vision Machine Learning
Prof Lu Yilong	Prof LU Yilong's research interests include modern radar systems, antennas, array signal processing, microwave circuits/devices, computational electromagnetics, evolutionary computation for optimization of complex problems. His current research works focus on new radar system concepts and demonstration, integrated millimeter wave antenna array, vector antennas, and new approaches for estimation of direction of arrival. Below is a more detailed list of his research interests: 1. Modern Radar Systems 1.1 Passive Radar (based on GSM, DTV and WiMAX illuminations) 1.2 High Frequency Surface Wave Radar (HFSWR) 1.3 Foliage Penetration Radar 1.4 Multiple-Input and Multiple-Output (MIMO) Radar 1.5 Radar Imaging 2. Antennas 2.1 Wire antennas 2.2 Microstrip antennas 2.3 Millimeter wave antennas 2.4 Cavity antennas 2.5 Conformal antennas 2.6 Vector antennas 3. Array Signal Processing 3.1 Arbitrary digital beamforming (DBF) 3.2 Estimation of direction of arrival (DoA) 4. Microwave/Optical Circuits/Devices 4.1 Microwave digital receiver modules 4.2 Microwave filters 4.3 Integrated dielectric waveguides 4.4 Photonic crystal fiber (PCF) 5. Computational Electromagnetics (CEM) 5.1 Finite Element Method (FEM) 5.2 Method of Moment (MoM) 5.3 Finite-Difference Time-Domain (FDTD) method 5.4 Wavelet Transform Method (WTM) 5.5 Efficient matrix equation solvers for generalized eigensystems 6. Evolutionary Computation 6.1 Genetic Algorithms (GA) 6.2 Particle Swarm Optimization (PSO) 6.3 Applications of Evolution Computation for Optimization of Complex problems 7. GUI Software Development 7.1 MATLAB NEC Toolbox (NEC: Numerical Electromagnetic Code) 7.2 MATLAB Receiver Toolbox 7.3 MATLAB Radar Toolbox
Assoc Prof Luo Jun	- Wireless Networking - Network Modeling and Performance Evaluation - Applied Operations Research - Network Security
Asst Prof Luu Anh Tuan	Artificial Intelligence, Deep Learning, Natural Language Processing
Prof Lye Sun Woh	His research interests include Design and process decision support systems. Statistical sensing and modeling analysis for mechanical design and processes, foam and composite design and manufacture.
Assoc Prof Ma Maode	Wireless Networking, Wireless Network Security, MAC layer Protocol Design, Performance Evaluation of Computer Networks
Asst Prof Mahardhika Pratama	◾Fuzzy Machine Learning ◾Intelligent Control Systems ◾ Evolving and Intelligent Systems ◾ Data Stream Mining ◾ Big Data Analytics ◾ Real World Applications of Computational Intelligence
Assoc Prof Mao Kezhi	Machine Learning, Deep Learning for Big Data, Information Fusion, Image/Video Analytics and Scene Understanding, Knowledge Extraction and Discovery
Prof Miao Chun Yan	Dr. Jaclyn, Chunyan Miao's area of expertise are Agent, Multi-Agent Systems (MAS), Agent Oriented Software Engineering (AOSE), Semantic Web/Grid, Agent Augmented Interactive Media/gaming/storytelling, Agent Mediated e-services?mobile agents for wireless communications. Her current research works focus on infusing intelligent agents into interactive new media (virtual, mixed, mobile and pervasive media) to create novel experiences and dimensions in game design, interactive narrative and other real world agent systems.
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
Assoc Prof Mohammed Yakoob Siyal	Computer vision Image processing Medical image processing Biometric-bases security E-commerce Watermarking Computer architecture IT
Assoc Prof Mu Yuguang	Research Fields 1. MD simulation method and data analysis method development. 2. DNA dynamics, DNA ?protein, DNA-counterions interaction study. 3. Peptide, protein folding, unfolding study, specially aimed at folding, misfolding mechanism which could lead to amyloid fibril. 4. RNA dynamics and folding study.
Dr Mukta Bansal	Her research is based on Supply Chain Management, Supplier Procurement, Logistics, Optimization, and Carbon reduction.
Assoc Prof Ng Woon Lam	His research interests include areas in Art Education, Scientific study of art materials, Oriental Art History and Culture, South East Asia Art, Classical Painting language in Contemporary Art and Digital Animation, Digital Painting, Design, Illustration and Fine Art. Potential researchers, Phd / MA students may contact him directly to discuss possible research collaborations or supervision. Looking for potential Phd students / Master students in Computer Science or Engineering to work with Python programming for MAYA. The program is to work for Calligraphic brushworks in 3D space. Interested potential students, please contact Asst. Prof. Ng Woon Lam : ngwoonlam@ntu.edu.sg Looking for suitable MA students to work on Fine Art related research, focusing on colors and design
Mr Oh Hong Lye	Embedded System Wireless Connectivity
Prof Ong Yew Soon	His research interest lies in Computational Intelligence that spans across Evolutionary & Memetic computation, Complex Optimization, Optimization-informatics & Machine learning.
Dr Owen Noel Newton Fernando	Crowdsourcing & Social Computing Mobile Augmented Reality Multimodal Interfaces and Interactive Systems Human-Computer Interaction
Assoc Prof Pan, Sinno Jialin	Machine learning and artificial intelligence, especially transfer learning and its applications to NLP and IoT.
Assoc Prof Ponnuthurai Naga ratnam Suganthan	My primary research areas are evolutionary computation (or optimization) methods such as the particle swarm optimization, differential evolution and evolutionary programming and pattern recognition. We apply these methods to solve problems in domains such as optics, bioinformatics and so on.
Assoc Prof Qian Kemao	Dr Qian's areas of expertise are optical metrology, image processing and computer animation.
Assoc Prof Qiu Lin	Social Psychology, Cultural Psychology, Media Psychology, Cyberpsychology
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
Prof Seah Hock Soon	Prof Seah Hock Soon has more than 20 years experience in Computer Graphics and Imaging research. His current research areas are in geometric modeling, image sequence analysis with applications to digital film effects, automatic in-between frame generation from hand-drawn sketches, augmented reality, and advanced medical visualization.
Dr Shen Zhiqi	Dr. Shen's areas of expertise are Artificial Intelligence, Software Agents, Multi-agent Systems (MAS); Goal Oriented Modeling, Agent Oriented Software Engineering; Agent Mediated Semantic Web/Grid, e-Learning, Bio-informatics and Bio-manufacturing; Agent Augmented Interactive Media, Game Design, and Interactive Story Telling. His current research works focus on Multi-agent Systems, Agent Augmented Interactive Media, Game Design, Interactive Story Telling, and e-Learning.
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
Assoc Prof Sourav Saha Bhowmick	Data management, human-data interaction, data analytics, network biology, computational social science, data-driven adult learning.
Dr Sourav Sen Gupta	Cryptographic Designs, Cryptanalysis, Bitcoin and Blockchain Technology, Machine Learning in Cybersecurity.
Assoc Prof Su Rong	(1) Discrete event systems: Supervisory control, Model-based diagnosis, Cyber Security Analysis, Simulation (2) Multi-agent systems: Formation control, Output regulation, Sliding mode control (3) Planning and Scheduling with Applications in Smart Cities: Smart manufacturing, Intelligent transportation, Smart buildings
Assoc Prof Sun Aixin	Information Retrieval; Text/Web Mining; Social Computing; Multimedia
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
Prof Tan Ah Hwee	Prof Tan's research areas include intelligent agents, cognitive and neural systems, machine learning, knowledge discovery and text mining. His current projects focus on Silver Assistants for Ageing in Place (with UBC-NTU Research Centre of Excellence for Active Living of Elderly - LILY), Learning and Memory (with DSO National Laboratories), and Joint Situation Awareness Modelling and Collaborative Reinforcement Learning (with STE-NTU Corp Lab).
Assoc Prof Tan Eng Leong	Computational electromagnetics/optics/acoustics - FDTD, ADI/LOD/SS, fundamental implicit schemes, hybrid matrix, scattering matrix; Multilayered biisotropic media, bianisotropic media, photonic crystals, phononic crystals, periodic structures; RF/microwave circuit design
Mr Tan Kheng Leong	- Software Engineering Methodologies - Mobile Devices Security - Software/Application Security
Asst Prof Tan Rui	I am interested in understanding how the physical ambients affect the cyber systems (e.g., sensor networks, wearables, data centers, etc) and exploiting certain properties of the physical ambients to improve the performance and resilience of the cyber systems. My ongoing research topics include: - Resilient CPS/IoT system functions (e.g., timing, synchronization, location, etc) - Low-power wide area networks - Thermal and energy control in data centers - Deep learning for sensing
Assoc Prof Tan Soon Keat	Dr Tan's research interests include application of geographical information system (GIS) in water resources, numerical simulation of flow for hydraulics and coastal engineering applications. His current research projects include hydrodynamic consideration of mega underwater structures and application of wetland technologies in the removal of pharmaceutical products from wastewater streams. Dr Tan specilaises in urban water management, rainfall-runoff modeling as well as water quality modeling, flooding, drainage, urban response, climate change and future scenarios analysis. Managing surface water in terms of quantitative distribution, storage and transport, removal of water-borne contaminant, particularly trace quantity of drugs and pharmaceutical products from waste-water streams are challenges in the management of water resources, and in particular, supply of raw water in the face of climate change and rapid urbanisation. A viable and feasible solution is to employ wetland technology as a means to remove contaminants and management of peak runoff. Under the supervision of Dr Tan, a research team is carrying out a series of constructed wetlands experiments with raw water spiked with selected contaminants. The research work has produced meaningful results and highly cited publications since its inception in 2009. Currently Dr Tan is leading research work on strategic development of coastal, urban scape and water resources, in response to climate change as well as developmental scenarios.
Assoc Prof Tang Xueyan	Distributed systems, mobile and pervasive computing, wireless sensor networks.
Dr Tay Kian Boon	• Public Key algorithms • Security of crypto algorithms, protocols & Random Number Generators • Discrete Math (combinatorics, number theory) • Mathematical analysis
Assoc Prof Tay Wee Peng	- network information processing - distributed signal processing - machine learning - applied probability and statistics
Dr Teoh Teik Toe	2016 Singapore University Technology & Design (SUTD) Research Fellow - Post Doctorate Artificial Intelligence – Deep Learning in Cyber Security lab Project: Cyber Security Log with Big Data, High Velocity, Machine Learning/Deep Learning Analysis using Weka, Matlab and Python Computation model include: Fuzzy, K-mean, PCA, MLP, Ngram, HMM, Recurrent Neural Nework, LSTM, CNN. 2013 to 2015 (Own Business) CT Solution - Enterprise Resource Software (ERP) Inventory and Order Management, Accounting, Human Resources, Customer Relationship Management (CRM), E-commerce (B-B, B-C), Production Management, Supply Chain Management. 2006 to 2012 NTU - Autism Detection: Using Fuzzy-Neural network including Self Organization Map to develop a computational model to detect Autism using Weka, Visual Basic and Matlab. NTU - Face Detection: Using Neural Network, Multi-Layer Perceptron, Decision Tree, Naïve Bayesian, SVM, Kmean, KNN develop in both Computer and Mobile phone using Weka Visual Basic, Matlab, C++ and C#. NTU - Facial Recognition: Using Neural Network Multi-Layer Perceptron, Naïve Bayesian, Kmean, KNN develop in both Computer and Mobile phone using Weka, Visual Basic, Matlab, C++ and C#. NTU - Emotion Recognition: Using Fuzzy-Neural network, GA, Hidden Markov to develop a computational model to recognize human emotion using Weka, Visual Basic, Matlab. 2003 to 2005 AStar - Develop Swimming Pool Drown Detection, Image Compression. MOE - Operation software E-commerce, Hotel software, SMS gateway, school financial system, Computer tracking monitoring and control system, operation data and reporting software in general, Inventory Management, Customer Relationship Management, Asset Tracking, Attendance system, Visitor Tracking, Point of Sales, Store Management. 1995 to 2002 (Own Business) VMS Technology - Telephony Software Develop Voce mil system, call accounting software, call center, voice logger, call sequencer, computer telephone integration, Voice response system, ringtone and logo mobile phone downloading, interactive chat line. 1991 to 1994 HP - Develop software for HP Printer production line -Operation - generating serial label, testing, packaging and communication with PLC -Management - collecting of data, generate reports, real time monitoring administration of Production and development server and data base under HP-UX environment.
Prof Thambipillai Srikanthan	His research interests include design methodologies for complex embedded systems, architectural translations of compute intensive algorithms, computer arithmetic and high-speed techniques for image processing and dynamic routing. He has published more than 250 technical papers including 60 journals in IEEE Transactions, IEE Proceedings and other reputed international journals. His services as a key consultant to embedded systems industry, both locally and internationally are continually being sought for. His specific research contributions have led to design and development of a number of innovative embedded solutions for consumer market. His pioneering efforts in low-cost roadway navigation and image processing solutions have led to commercially viable intellectual properties. He has pioneered the development of techniques based on artificial intelligence heuristics to accelerate embedded computations. His current projects involve the development of novel techniques for vision-enabled embedded systems as well as design methodologies to shorten the Time-To-Market (TTM) and to reduce Non-Recurring Engineering (NRE) costs.
Prof Theng Yin Leng	Theng's research interests are mainly in user-centred design, interaction design and usability engineering. She has participated in varying capacities as principal investigator, co-investigator and collaborator in numerous research projects in the United Kingdom and Singapore since 1998. In the area of research, Dr.Theng’s philosophy is about doing worthwhile, scientifically-based experimental Human-Computer Interaction in understanding users and their interactions, especially for Information Systems, in her earlier research on the World Wide Web and Digital Libraries, and with recent focus on interactive systems/devices for Healthcare and Education. Her main research interest is to develop innovative tools, techniques, methods and models to assist in the design and evaluation of interactive systems/devices, making research relevant and impacting society. From 2003 to 2015, as a PI, she has garnered a total of slightly over S$3M as PI and about S$2M as Co-PI and Collaborator. Dr. Theng has more than 200 papers and publishes widely in top-tiered international journals and conferences. Recent interests include applying user issues to elderly & technologies, games for health, health informatics, smart nation & metrics.
Assoc Prof Tung Lai Lai	My current research interest includes examining the cognitive and behavioral issues of participants in virtual communities. Another separate research track looks at website effectiveness from the dual-perspective of web-designers and users.
Prof Vu N. Duong	My research interests are in the junction of Air Traffic Management, Artificial Intelligence, Complex Systems Modelling, and Data Analytics.
Assoc Prof Vun Chan Hua, Nicholas	Prof Nicholas Vun's areas of expertise are embedded system design, switch mode power supply, and embedded data acquisition system. His current research works focus on developing embedded signal conversion and signal processing techniques based on compressive sensing and number theory approach.
Assoc Prof W. K. Ng	Machine learning / Artificial intelligence Privacy-preserving data analytical techniques Encrypted databases Enterprise blockchain systems Data security
Assoc Prof Wang Han	Prof. Wang' research interests include: (1) Computer Vision (2) 2D/2D image tracking (3) Object recognition (4) Mobile robot navigation using vision (5) Vision application for robots
Assoc Prof Wang Huaxiong	Cryptography Information Security, Coding Theory, Combinatorics, Theoretical Computer Science
Asst Prof Wen Bihan	1. Machine Learning - Deep learning, Transform learning, Dictionary learning, Tensor modeling, etc. 2. Image and Video Processing - Denoising, Super-Resolution, Inpainting, Restoration, etc. 3. Computer Vision - Robust classification / segmentation, Object detection, Crowd counting, Image retrieval, etc. 4. Computational Imaging - Magnetic resonance imaging (MRI), Computed tomography (CT), X-Ray, Synthetic-aperture radar (SAR), etc. 5. Inverse Problems - Blind compressed sensing, Ill-posed inference, Data reconstruction and modeling, etc. We are ALWAYS looking for GOOD and Highly Self-Motivated a) PhD students b) Post-doc Research Fellows c) Research Associates / Project Officer If you are interested of working with me, please send your resume / CV. Only qualified candidates will be contacted.
Prof Wen Yonggang	- Cloud Computing and Green Data Centre - Multimedia Computing and Communications - Machine Learning Systems and Applications
Dr Wilson Goh	Our research activities may be broadly divided into two areas: biodata science and education technology. Biodata science is an exciting new area where the associative technologies associated with data science and relevant thinking skills are applied onto biological and health-related problems. These may include how to resolve batch effect problems when effecting large-scale data mergers, improving study reproducibility, and understanding how choice of normalization method impacts downstream data modeling. We are also very interested in understanding how heterogeneity and data holes impacts outcome of analysis, especially in how it affects our interpretation of the underlying biological system. Our interest in Education technology (EdTech) pertains to the use of data analytics for analyzing student performance and also the development of software for facilitating learning. In particular, we are interested in how we may leverage on big data and machine learning to unravel indicators of human-based deep learning. Instead of fielding our work on typical classroom-type settings, our interest is in combining EdTech with high-impact practices in teaching and learning, where deep learning is more likely to take place. Currently, we focus our research on NTU’s unique Deeper Experiential Engagement Project (DEEP), a large-scale pilot experiential learning project spread across different colleges. Examples of some recent projects include: BioData Science and Computational Biology 1. Dealing with confounders in omics analysis 2. Enabling more sophisticated proteomic profile analysis 3. Resolving the missing protein problem using meaningful context 4. Understanding the cost of batch effects in biological big data analysis 5. Developing graph literacy skills 6. How to improve upon weak validation practices in current machine learning Education Technology 1. Not feeling it — How does sentiment and motivation affect academic performance? 2. Using machine-based deep learning to uncover the signs of human-based deep learning 3. High-impact pedagogical practices
Assoc Prof Wu Hongjun	Cryptography, cryptanalysis, computer security
Assoc Prof Xavier Bresson	Data Science Deep Learning Artificial Intelligence Computer Vision Sparse Convex Optimization Spectral Graph Theory
Asst Prof Xia Kelin	The last century has witnessed the tremendous advancement of Biological Sciences. The availability of massive biological data, high-performance computers, efficient computational algorithms, and mathematical and physical models have paved the way for Biological Sciences to undertake a historic transition from being qualitative, phenomenological, and descriptive to being quantitative, analytical, and predictive. Under this transition, modern Mathematical Biology will be fundamentally changed from macroscale modelings (of species, population, disease, blood fluid, etc) to molecular based analysis (of protein, DNA, gene, virus, etc). Dr. XIA's group focuses on Molecular Based Mathematical Biology (MBMB). The essential idea is to use computational tools from PDE, differential geometry, algebraic topology and statistical learning to study the biomolecular structure, flexibility, dynamics, and functions. His recent interests are topological data analysis (TDA), topology based machine learning/deep learning models, and their applications in drug design.
Assoc Prof Xiao Gaoxi	* Complex Systems and Networks * Optical and Wireless Networking * Internet Technologies * Network Security
Assoc Prof Xie Ming	Intelligent Vehicle, Humanoid Robot, Machine Intelligence.
Prof Xing Chaoping	Algebraic curves over finite fields; application of algebraic geometry and number theory to block coding, quantum coding, space-time coding, cryptograpgy and quasi-Monte Carlo methods; lattice packings.
Asst Prof Yan Zhenzhen	Interplay between optimization and data analytics; Optimization under uncertainty; Sequential Decision Making; Data Driven Pricing; E-commerce Operations, Supply Chain Management; Health Care Operations; Completely Positive Program
Assoc Prof Yap Kim Hui	Dr. Yap's main research interests include image/video processing, media content analysis, computer vision, human-computer interaction, and computational intelligence.
Assoc Prof Yeo Chai Kiat	Her research focus is on Anomaly Detection, Data Analytics, Predictive Maintenance, Neural networks, Machine Learning, Artificial Intelligence, Mobile and Ad Hoc Networks.
Asst Prof Yu Han	Crowdsourcing and Human Computation Ethical Artificial Intelligence (AI) Federated Learning
Assoc Prof Yvonne Lam Ying Hung	Assoc Prof Yvonne Lam's research interests are in analogue IC design as well as Analogue Design Automation.
Asst Prof Zhang Hanwang	1. Multimodal Graph Construction and Inference 2. Learning Compositional Structures in Vision and Language. 3. Multimodal Machine Reasoning
Assoc Prof Zhang Jie	Jie Zhang's research is in the general area of Artificial Intelligence and Multi-Agent Systems, and has been focused on trust management in open, large, dynamic and uncertain environments where users represented by software agents may be deceptive. In particular, he has been addressing the challenging robustness issue in trust management where trust systems become the target of attacks. He has also focused on designing tailored trust systems for emerging application domains (e.g. e-commerce, recommender systems, networking, etc.) to meet specific requirements imposed by the special characteristics of those different application domains. Another major direction of his research is in the design of multi-agent systems and mechanisms that create incentives for agents to behave honestly. + Artificial Intelligence + Multi-Agent Systems + Trust Management + Incentive Mechanism
Asst Prof Zhang Tianwei	Dr. Zhang's research focuses on computer system and architecture security. Specifically, * Distributed system security: he is interested in building secure and flexible frameworks for attesting and protecting distributed systems, including cloud computing, IoT, robotic platforms, etc. * Machine learning security: he is interested in exploring security threats in deep learning platforms, and defense solutions. * Attacks and defenses: he is interested in designing system-level attacks, and methodologies of defeating sophisticated attacks. * Security analysis: he is interested in designing novel methodologies of measuring and quantifying system and architecture security.
Asst Prof Zhao Jun	• AI and Data Science: federated learning, deep learning, adversarial machine learning, computer vision (CV), natural language processing (NLP), reinforcement learning, optimization, etc. • City Brain and Smart Nation: federated learning, Internet of Things IoT, cloud/edge/fog computing, 6G wireless communications, signal processing, smart grid, cyber-physical systems CPS • Security and Privacy: federated learning, blockchains, adversarial machine learning, differential privacy, applied cryptography, secure multi-party computation
Assoc Prof Zheng Jianmin	Dr Zheng's areas of expertise are computer aided geometric design, reality computing, computer graphics, applied geometry, and 3D digital geometry processing. His current research work focuses on T-spline technology and its applications in isogeometric processing, reality computing and 3D capturing, intelligent 3D printing, visualization for AI, and virtual/augmented reality .
Asst Prof Zinovi Rabinovich	Multi-agent Systems, Artificial Intelligence, Modelling of Manipulative Interaction, Perceptual Control and Emergent Behaviour

Research Categories

Computer Science and Engineering

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Computer Science and Engineering

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