Research

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Research Labs & Centres

Professors, PhD students and research staff, explore topics in the exciting spectrum of Computer Science and Engineering to advance the state-of-the-art. Below is a brief overview of the core and emerging areas:

  • Biometrics and Forensics Lab (BFL): BFL conducts applied research on both biometric system and skin image analysis. Professors and researchers explore distinctive features from various physiological and behavioral characteristics, such as palm print, iris, vein patterns, skin marks, hairs, tattoos, etc., for effective personal identification.  BFL also provides solutions for skin image analysis as a non-invasive measure to better understand and estimate skin related parameters.  BFL aims to develop and integrate novel algorithms in the fields of pattern recognition, machine learning and image processing to tackle existing challenges in biometric, forensic and healthcare applications.


  • Biomedical Informatics Lab (BIL): The research areas and core capabilities of BIL are bioinformatics, computational biology, systems biology, biomedical Imaging and pattern recognition, as well as biomedical visualization. Researchers in BIL are devoted to investigating, inventing and integrating the computational capabilities of these areas. Professors, research staff, and students in BIL work on research projects, and collaborative projects with other institutes and industrial companies. BIL has research projects with LKC School of Medicine and the affiliated Tan Tock Seng Hospital, and A*Star institutes including Bioinformatics Institute and Genome Institute of Singapore.


  • Computational Intelligence Lab (CIL): AI Research @ SCSE conducts research and development of advanced technologies in artificial intelligence that address both low level biological processes and high level cognitive functions in human brain. Research areas of focus include evolutionary and memetic computing, biologically-inspired cognitive systems, computational neural modelling, neural fuzzy systems, computational game theory, multi-agent systems, deep learning, transfer learning, big data analytics, and sentic computing. These technologies have been applied to a wide range of application domains spanning security and surveillance, media and edutainment, computational sustainability, intelligent transportation, social network analytics, and sentiment analysis.


  • Computer Networks and Communications Lab (CNCL): CNCL conducts research in data communications and networking that addresses information transfer among humans, computers, and devices using wired and wireless connections. Professors and researchers in CNCL are devoted to analyzing, designing, and inventing the data communications and networking capabilities and functionalities, from fundamental theory to practical applications and from physical layer to application layer. Research areas include software-defined radio (SDN), network function virtualization (NFV), 5G cellular systems, multimedia networking, mobile cloud computing, green networking and communications, fog computing, mobile big data analytics, wireless sensor networks, Internet of Things (IoT), smart grid data communications, and mobile social networks.


  • Cyber Security Lab (CSL): CSL covers a wide spectrum of security research including software security, system security (including mobile platforms), security protocol analysis, collaborative intrusion detection networks, Web application security, data privacy and security, forensics and biometrics. Research focuses on integrating new knowledge and technology to provide law enforcement and security agencies with automatic devices and capabilities to improve prevention, detection and solution of crimes, and acts of terrorism. Professors, research staff and students in CSL have active projects in collaboration with Singapore’s governmental agencies and companies to provide effective solutions to create a secure cyber space.


  • Data Management and Analytics Lab (DMAL): DMAL conducts research in data management and analytics that addresses the challenges of managing and analyzing massive volumes of data. Researchers in DMAL conducts research in data management and analytics that addresses the challenges of managing and analyzing massive volumes of data. Researchers in DMAL are devoted to inventing and innovating efficient and scalable techniques to manage and mine a variety of structured, semi-structured, and unstructured data from fundamental theory to data-driven practical applications and going beyond papers to build academic prototypes to demonstrate their ideas. Research areas include data management, data visualization, information retrieval, data mining, data privacy, and data-center management.


  • Hardware & Embedded Systems Lab (HESL) : HESL carries out use-inspired research using state-of-the art tools and technologies to create intellectual property that can spur sustainable growth in next-generation hardware and embedded systems. Research areas include embedded vision (scene understanding for autonomous vehicles, collaborative vision based sensing, video surveillance), reconfigurable computing (overlay architectures for FPGA based computing, high level synthesis, custom computing), computer architecture (application-specific processors, heterogeneous MPSoC), hardware security (secure processor, countermeasure against side-channel attacks, high-level synthesis for cryptography), cyber-physical systems (mixed-criticality real-time scheduling, predictable multi-core processing, internet-of-things), and brain-computer interface (BCI for games, neuro-rehabilitation, assistive technologies).


  • Multimedia Lab (MML): The research undertaken in MML is dedicated towards discovering breakthroughs in automatic processing and analysis of images, audio and video using intelligent computational systems, so as to be able to distill important high-level semantic information from such data. Besides traditional multimedia data, other types of data investigated include multi-view imagery, RGB-depth data and also microphone array audio. Research topics include deep learning frameworks for analysis of media content, object and people localization and reconstruction in RGB-D imagery, computational models of image region saliency, automatic foreground-background segmentation and matting, detection and prediction of pedestrian flow densities, as well as speech processing for media retrieval.


  • Parallel and Distributed Computing Lab (PDCL): PDCL conducts research in parallel and distributed computing. Researchers in PDCL are devoted to investigating the theory, design, evaluation, and use of parallel and distributed computing systems. PDCL strives to seek new industrial projects where parallel and distributed processing can provide a solution to real problems, to conduct leading edge research and advance knowledge, and to foster research collaborations both nationally and internationally. Current research activities in PDCL can be broadly grouped into four interest areas from resource infrastructures, enabling technologies to applications of parallel and distributed computing: Large Scale Simulation & Virtual Environments, Collaborative Technologies & Applications, Distributed Computing Theory & Algorithms, High Performance & Cloud Computing.


  • Visual and Interactive Computing Lab (VICL): VICL conducts research in visual computing that addresses the interactions between humans, computers, and real & virtual worlds. Researchers in VICL are devoted to investigating, inventing and integrating the computational capabilities and their interactions with visual data from fundamental theory to practical applications and from physical systems to software development. Research areas include computer graphics (geometric modeling, digital geometry processing, 3D capturing, haptic modeling/rendering, optical measurements, GPU technologies), visualization (scientific/information/data visualization), animation (2D/3D animation, physically based animation and simulation), human computer interaction (multi-touch interface, large display, haptic interfaces), game technologies, and augmented & virtual reality.


  • Research Centre of Excellence in Active Living for the Elderly (LILY) : LILY aims to establish Singapore as an age-friendly services and data hub in addressing global aging issues. It will create a new cross-disciplinary paradigm, namely ageless computing, design and services to support active independent living for the elderly and promote quality of life for all ages. With the participation of end-user communities, concepts and technologies will be developed which will showcase how the well-being of the elderly and all ages can be enhanced. In partnership with industry, commercially viable products and services will be created.


  • Multi-plAtform Game Innovation Centre (MAGIC) : With the global game industry is expected to top $70 billion by 2017, Multi-plAtform Game Innovation Centre (MAGIC) was set up in Nanyang Technological University (NTU) to address the fragmentation of the gaming landscape in Singapore and establish a vibrant game ecosystem; attracting more game companies to Singapore. It is funded by the Singapore National Research Foundation under its IDM Futures Funding Initiative and administered by the Interactive Digital Media Programme Office, Media Development Authority.A cross-disciplinary Research & Development (R&D) effort, MAGIC aims to create Singapore into the regional gaming & publishing hub, specifically in the areas of Serious Game, Game Content, Game Artificial Intelligence (AI), Cloud Gaming, Game Cinematic and 3D Modelling & Rendering.