School of Computer Sciences - USM
Researcher Theme's List
  • Abdullah Zawawi Hj Talib
    • Research Title
      • Not specified
    • Research Interests
      • Not specified
  • Ahamad Tajudin Khader
    • Research Title
      • Presently, Prof. Dr Ahamad Tajudin's research focuses on genetic algorithms, particularly in the areas of population modeling and parameter control. He is also actively involve in research on evolutionary algorithms and problems in scheduling, timetabling and planning.
    • Research Interests
      • Not specified
  • Ahmad Sufril Azlan Mohamed
    • Research Title
      • Image Processing, Video Tracking, Facial Recognition and Medical Imaging.
    • Research Interests
      • Industrial Design, Bioresource, Paper and Coatings Technology, Laser
  • Ahmad Suhaimi Baharudin
    • Research Title
      • Management of Information Systems (MIS) *

        * MIS in Small and Medium Enterprises (SMEs) ++
        * MIS in Public Organizations ++
        * MIS in Business Organizations ++.

        ++ IT Adoption, User's Organizational Citizenship Behavior (OCB), User's Deviant Behaviour/Counter Productive Behaviour/Computer Abuse, User's Satisfaction, Organizational and User's Performances, User's Productivity, System Success/Failure, ICT Policy, ICT Security Policy, ICT Planning and Corporate Strategic Planning (Alignment), Turnover/Burnt-out (IT Professionals), Knowledge and Skills Transfer (Outsourced ICT Projects).

        ++ The Fourth Industrial Revolution: Issues relating to people (Users: Internal & External); Management (Strategic, Tactical & Operational); Developers; Other Stakeholders; Organizations (Public & Business) & the Environment when dealing with Digital Systems (Business Intelligent, Internet of Things (IOT) and Big Data), and many more ...
    • Research Interests
      • Not specified
  • Aman Jantan
    • Research Title
      • Software Engineering
        Encompasses research and development of application in many subfields such as software project management, software requirements engineering, design and architectures, software testing, software metrics as well as quality assurance, and software maintenance/evolution. The focuses are mainly on the methodologies of software engineering such as object-oriented software engineering, component-based software engineering, web system engineering, security system engineering (or/as well as secure system development), the critical and legacy systems, extreme programming and reverse engineering.The application of web engineering concept as well as secure system leads to the research on e-Commerce and e-Business, which focused mainly on the security as well as the framework such as the enterprise system, supply chain management, and customer-relationship systems. For software testing, the research focuses on the methodologies as well as techniques such as black-box testing, white-box testing, and so forth.

        ICT Securities

        Research on the computer and network security fields such as intrusion detection system with artificial intelligence capabilities, firewall systems, malwares (such virus and anti-virus, rootkit, and worms), cryptography systems, secure system development, and web system securities.

        The current focuses of research are on the electronic forensic system techniques and application development, network penetration testing and countermeasures, cyber warfare in general, and RFID securities.
    • Research Interests
      • Programming language paradigm, and compiler technology.
  • Azizul Rahman Mohd Shariff
    • Research Title
      • Mobile & Wireless Networks - Cognitive Radio Network, Context Aware Radio & Applications, Pervasive Computing, Vehicular Networks
    • Research Interests
      • Socio-economics of Mobile Industry
  • Azlan Osman
    • Research Title
      • Not specified
    • Research Interests
      • Not specified
  • Azman Samsudin
    • Research Title
      • Azman Samsudin is a Professor at the School of Computer Sciences, Universiti Sains Malaysia (USM). He earned his B.Sc. in Computer Science from University of Rochester, New York, USA, in 1989. Later, he received his M.Sc. and Ph.D. in Computer Science, in 1993 and 1998, respectively, both from the University of Denver, Colorado, USA. He has been with Universiti Sains Malaysia since 1998. His research interests include Cryptography, Switching Networks and Parallel Computing. He has published more than 100 articles over a series of book chapters, professional journals and conference proceedings. He also has held a series of grants in the fields of Cryptography and Parallel Computing.
    • Research Interests
      • Not specified
  • Bahari Belaton
    • Research Title
      • Scientific Data Visualization, Network Security (IDS), Tractography

        Data and Information Visualization

        Main research interest is in the area of scientific data visualization. Initially our focus was in looking at ways of controlling mapping artifacts arising from various ad-hoc and ill-defined assumptions in existing data visualization tools. One possible solution is to treat data modeling function (interpolation and approximation) in the mapping techniques as a separate process, independent of the mapping process itself. Toward this end, an alternative model named as Model Centered Approach (MCA) has been proposed. Further research on MCA has extended it usage into internet-based visualization system. In this case, the compact representation of the modeling function has made it more useful for internet-based visualization – the model that will generate the data is send to the peer hosts, rather than the data themselves which are often huge in size.

        Recent work concentrates on the development of algorithm to optimize 3D surface(s) reconstruction from a series contour’s slices. In this work we optimizes the reconstruction time while preserving the output at an acceptable level i.e. no clear surface artifacts likes holes. Good balances between reconstruction time and surface quality for a series of dataset have been reported by a Master thesis completed recently. We are now looking for a more thorough study on the slice reduction method, at the same time research on the reconstruction of surfaces from sparse contour slices is high in our research agenda.

        Current work in this area is focusing on the extraction of feature lines known as crest-lines from 3D medical dataset. The aim is to use the extracted feature lines in detecting important landmarks on a craniofacial dataset. Automating this landmarks identification and placement is crucial to reduce the tedious and error-prone manual inspection. Feature lines based on crest points (also known as extremal points) are invariant to common transformation, and thus they are good for features registration and matching between objects.
    • Research Interests
      • Network Security

        Primary focus is on improving existing IDS/IPS solutions by enriching and enhancing alerts they produced with verifiable and quantifiable data quality metrics. Initial work in this area was the establishment of a model called Intrusion Alert Quality Framework (IAQF). It main purpose is to assist network and security engineers in making effective and efficient decisions about the security status of ICT assets under their control. With IAQF we have enriched the alerts generated by IDS/IPS with data quality metrics (alive-correctness, os-correctness, service-correctness, etc) and quantify them in term of score. These quality metrics are verified using contextual information (host’s profiles – os, patch level, application version, etc) from the network environment being monitored in an iterative fashion following a typical cycle of TDQM process. The verified and enriched alerts are finally encoded in the standard format (Intrusion Detection Message Exchange Format or IDMEF) widely used by IDS/IPS communities.
  • Chan Huah Yong
    • Research Title
      • Not specified
    • Research Interests
      • Not specified
  • Fadratul Hafinaz Hassan
    • Research Title
      • Pedestrian Simulation
        Optimisation Spatial Layout
        Statistical Analysis

        *** Research Assistant Job***

        Project Title: Enhancing Genetic Algorithm for Spatial Layout Design with Pedestrian Simulation in a Panic Situation.
        Location: Computational Intelligence Lab, School of Computer Sciences, USM, Penang, Malaysia
        Hours: Full Time
        Contract Type: Contract/Temporary
        Expected Start Date: 1st October 2016
        Salary: RM1,800 per month (up to 18 months)
        Please contact Dr. Fadratul Hafinaz Hassan for informal enquiries at:
    • Research Interests
      • Not specified
  • Faten Sheikh Hassan Sulaiman Daman Hoori
    • Research Title
      • Not specified
    • Research Interests
      • Not specified
  • G.C. Sodhy
    • Research Title
      • Data replication

        Distributed resources such as hardware and software can be integrated to create a computing environment which allows multiple computer systems to share these resources. Grid computing provides this infrastructure. Terabytes of data are shared across grid environment and users accessing this data are increasing by the day. In the process of transferring these large amounts of data, the network faces congestion and latency, which consumes large amount of bandwidth. Hence data replication is implemented across grid computing environment as the remedy to this issue. Replication occurs by placing original copies of databases in various storage elements of a grid system. The copies of data (called “replicas”) synchronize with other replicas in order to ensure that they store the latest updates and therefore preserving data integrity. Replication provides better reliability, accessibility and load balancing among the storage elements of a grid environment.

        Among the areas of interest are:
        - Dynamic replication algorithms,
        - Intelligent creation, deletion and movement of replicas,
        - Synchronous and asynchronous protocols to update replicas,
        - Topologies for replica distribution,
        - Cost-estimation modeling for replica access,
        - Combining replication with caching to improve performance.
    • Research Interests
      • - Data replication
        - Data grids
  • Gan Keng Hoon
    • Research Title
      • IR Models and Tasks
        Search Query Analysis, Representation and Optimization
        Structured Contents Annotation and Retrieval
        Focused Search System
        Text Categorization, Extraction, Mining
        Sentiment Analysis
    • Research Interests
      • My research interests mainly focus on semantically rich contents/documents/texts resulted from massive tagging and annotations by various levels of users. In general, studies are focused on automated contents building, platform development for structured text processing, and working applications of such contents.

        Research projects offered for Master and Ph D supervisions include:

        1) Learning to Automate Contents Annotation
        2) Searching the Expert's Expertise
        3) Dynamic Facets for Interactive Focused Search
        4) Opinion Mining Technique for Small Sample Sizes

        If you are interested in the mentioned projects, do not hesitate to email me for collaboration or supervision.
  • Hasimah Hj. Mohamed
    • Research Title
      • Information visualization
        data mining
        Artificial Intelligence
        mobile applications
    • Research Interests
      • Islamic Mobile Applications
        Artificial Intelligence & Databases
        Big Data visualization
        Health Informatics & Medical Data Mining
  • Ibrahim Venkat
    • Research Title
      • Biometrics
        Computer Vision
        Computational Intelligence

        We have funding for a Ph.D. student to perform research on ''3D biometrics / Object recognition". Candidates with proven research record are welcome to contact me.

        We are interested in developing computational models for the problem of recognizing objects under uncertainty. Even human vision has certain degree of uncertainty in recognizing complex objects. Our research involves studies from interrelated fields viz., Biometrics, Computer Vision, Computational Intelligence, Pattern Recognition, Machine Learning, Probabilistic Modelling and Image Processing. When 'Deep Blue', a machine, could beat reigning world chess champion, why not machine vision could surpass human vision? Specifically, we have been investigating the following research problems:

        a) What is the key cognitive mechanism that governs humans to recognize complicated objects which are prone to uncertainty elements such as occlusion and noise?

        b) If machines can learn this mechanism, can they advance ahead of humans?

        This motivated us to invent award winning biometric products such as BORAHMAN...If you want to know more about our inventions and innovations, please go through our publications...Still if you are thrilled, don't hesitate to contact us...

        We have strong links with the Intelligent Systems Lab of Heriot-Watt University as we use to colloborate with Prof. Philippe De Wilde


        We whole heartedly acknowledge (Syukur) the following organizations who offered considerable research funding for our research work

        a) School of MACS, HWU, UK (James Watt Scholarship)

        b) TATiUC, Malaysia

        c) USM, Malaysia
    • Research Interests
      • Artificial Intelligence
        Bayesian Networks
        Markov Logic
        Bio-inspired Computing
        Formal Languages
  • Jasy Liew Suet Yan
    • Research Title
      • My main research goals are:
        1) Harnessing textual emotion signals to gain better insights on how people think and behave
        2) Developing more emotion-sensitive systems to improve human-computer interactions
    • Research Interests
      • I am particularly interested in the detection of emotion in text. My other research interests include: Sentiment Analysis, Natural Language Processing, Computational Linguistics, Text Mining, Affective Computing, Human Computer Interaction, Information Science and Technology
  • Mandava Rajeswari
    • Research Title
      • Main research interest is to process, analyze and to extract contents and information from the images; derive knowledge from the extracted information; to represent the knowledge and use the knowledge in various applications in addition to using it to guide the information extraction from the images. In the early stages of this research the focus was to extract information from the images and put into several applications that include automated visual inspection, and real time process control in industry; robot vision for intelligent assembly; image database retrieval and image segmentation. While these areas remain as research interests, focus is now shifted to image Knowledge extraction and representation and Knowledge guided image segmentation analysis and visualization. The major domain of research is in medical images and natural images.


        Current Research

        i) Medical Images

        Medical images have become the de facto modalities used by surgeons and medical practitioners to perform non-invasive examination of the human body. Computed Tomography and MRI are used in conjunction with computer graphics and visualization algorithms to produce an interactive 3D-model of the anatomy of interest. This 3D-model could then be used to facilitate medical experts in diagnosis, surgery and treatment planning. Our focus is on accurate segmentation and quantification of lesions; segmentation and visualization of risk structures including soft and hard tissues, blood vessels etc. We have developed a software tool to address some of the issues and we are interested in extending our research in this area. In addition to building the models we are interested in exploring surgical planning and annotating 3D models with medical ontologies. Some of the immediate projects in this area are:

        Quantification and visualization of white matter lesions of the brain in a clinical trial of Vitamin E.

        Assessment of musculoskeletal tumour response to chemotherapy

        3D visualization of musculoskeletal tumour and risk structures and surgical planning.

        Knowledge guided medical image segmentation

        Segmentation and visualization of blood vessels

        ii) Semantic Image Knowledge

        The bubble of the information age has burst. The future is in Knowledge. This research is about extracting meaningful knowledge from the sea of information and representing it in a formal way. Image knowledge is knowing or identifying the image contents and their spatial relationships. This understanding represented using a generic terminology that brings same meaning to many, may be considered as knowledge extraction. This generic terminology is referred to as “Ontology”. The extracted knowledge may be represented using semantic networks. Current Image processing techniques are mostly dealing with information at a very low level of the information-knowledge hierarchy whereas human description of images uses concepts that are at the higher level of this heirarchy. The gap between these two representations is known as the “Semantic Gap” problem. Our interest is to address the Semantic Gap with an intention to extract knwoledge about the individual coponents of the image.

        Image Segmentation

        Mapping Low-Level Image Features to High-level Semantic Concepts

        Spatial correlation of concepts

        Concept disambiguation

        Multimodal Meaning Normalization Through Ontologies

        Video annotation and retrieval using semantics
    • Research Interests
      • Not specified
  • Manmeet (Mandy) Mahinderjit Singh
    • Research Title
      • My research interest:
        i) Data Security
        ii) Trust Models & Theories ( Social Media, Location Aware Systems)
        iii) Mobile CrowdSensing Security /Ambient Intelligence Security (RFID/NFC/ IoT, Smart Home )
        iv) Data Mining Security
        ( Intrusion Detection/ Alert Management / Cost -Sensitive Systems )
        v) CyberCrime ( Organizational BYOD / Advanced Persistent Threat Attack- Security Policies Models & Analytical Tools )
    • Research Interests
      • “To Succeed in Life and achieve results, you must understand and master 3 mighty forces— DESIRE, BELIEF, and EXPECTATION.”― A.P.J. Abdul Kalam

        I am a Senior Lecturer attached with the The School of Computer Sciences, University Sains Malaysia, Penang since 2012.
        Ongoing Research Students :
        1) A Study of Mobile CrowdSensing Security - Mr. Owoh, Nsikak Pius
        1)Sentient Multi-Layer Security for APT (Ms. Zakiah Zulkefli)

        MSc [Completed]
        1) NFC Security Risk Management - Ms. Ku Aina
        2) Alert Reduction Technique for Supply Chain - Mr. Mohd Zharif
        3) NFC Filtering Technique for Location Privacy - Mr.Vijaya
        4) Contect-Aware Security Policy for Supply Chain - Ms.Irene Anastasia
        5) Hybrid Data Mining Technique for Email Spam - Mr. ZhiWei

        For future collaboration and supervision, please email me via
  • Maziani Sabudin
    • Research Title
      • Dynamic Knowledge Representation for E-Learning Applications

        The main interest is to investigate the development of Internet-based teaching and learning applications, both for education and training purposes, and application of e-learning algorithmic and knowledge representation. Information resources play an important role in almost every Internet services, and especially in E-Learning (Internet-based teaching and learning). Functionalities like information search and retrieval are a must. But, in the case of E-Learning, such functionalities need to be complemented by taking into account issues like, for instance, learning objectives, pedagogical approaches and learner profile. Thus, there is a context for retrieving information. It is necessary to define which learning materials are relevant to a particular user, who wants to learn about a particular subject. To determine which of the materials available in the courseware database are relevant, two components should be considered. Firstly, the set of subjects associated to each material should be identified. Thus, there needs to be a way to classify and organize materials in terms of knowledge domains. Secondly, the learning context should be identified, since the learning goals and pedagogical models may impact on the way materials are structured and consequently, on the definition of relevant links.

        This leads to an approach supporting a process of discovering the underlying knowledge structure and generating the relationships between learning materials that are part of the courseware knowledge. The use of fuzzy clustering to build such dynamic knowledge representation is being investigated, thus leads to an approach to organize E-Learning materials according to knowledge domains, by means of fuzzy clustering analysis.
    • Research Interests
      • Logic Programming & Object Oriented Programming
  • Mohd Azam Osman
    • Research Title
      • Currently Azam Osman is involved in parallel algorithm especially for parallelizing the Edge Detection Algorithm to classify paddy and weeds leaf. He is also interested in mobile application based on location-based services. At the moment he is developing a platform for mobile application using text (sms) service to receive a list of Halal Food Restaurants in major cities around the world based on location-based services.
    • Research Interests
      • Distributed Shared Memory Systems, Image Processing, Parallel Algorithm, Mobile Application and Location-based Services.
  • Mohd Heikal Husin
    • Research Title
      • Organizational impacts of socially based applications
        IT Policy development
        Semantic web / Data mining
        Human computer interaction (HCI)
        Management Information System (MIS)
    • Research Interests
      • Human-centric technological usage
        Future directions of social media and related research
        Cloud computing
        Social analytics

        1. Tahirah binti Mt Tahir (Sept 2015, main supervisor) – on-going: Digital Etiquette Impacts for Social Media usage among Primary Students in Malaysia

        Masters by Research
        1. Saravanan A/L Sagadevan (2014, co-supervisor) – completed: Personality Detection in Online Social Networking by using Three Factor Personality Model

        Masters Mixed Mode
        1. Sehrish Sher Khan (2015, completed): Design Framework for University Websites
        2. Han Lin Nan (2015, completed): Microblog based Information Disclosure Framework for Chinese Local Government

        Masters by coursework (Informatics)
        1. Julianna Ann A/P Manglesparun (2015, completed): A Roadmap to Adoption of Cloud Manufacturing

        If you are interested in similar areas or would like to know more, please feel free to contact me for more details.
  • Mohd. Adib Hj. Omar
    • Research Title
      • Not specified
    • Research Interests
      • Not specified
  • Mohd. Najwadi Yusoff
    • Research Title
      • Not specified
    • Research Interests
      • - Cyber threat intelligence and threat hunting
        - Digital forensics and investigation (computer, mobile, network, cloud, big data and IoT)
        - Cybercrime (criminology and policy research)
        - Anti (online) money laundering and counter terrorism financing
        - Malware analysis in mobile and IoT networks
        - Privacy issues in digital forensics
  • Muhammad Rafie Hj. Mohd. Arshad
    • Research Title
      • Adaptive Hypermedia Learning System

        This research hopes to develop an adaptive hypermedia e-learning system. The methods and algorithm used in designing an adaptive hypermedia system through user modeling will be examined.

        RFID Technology
        This research will look at some issues in the implementation of RFID technology such as system integration, middleware development, anti-collision software, tag choice and affixing method, reader/tag interaction, privacy, security and user-friendliness. Currently, we are implementing a pilot project on RFID Pilgrims Tagging System for surveillance and monitoring.
    • Research Interests
      • RFID Applications, Mobile Application for Hajj & Umrah.
  • Nasriah Zakaria
    • Research Title
      • I am always interested in People & Technology issues. With my background in Biomedical Engineering, I have been exposed to the human physiology and how to design and develop medical equipment (in this case Impedance Imaging System) to detect anomaly in the body. I further continue my studies in the Information Science and Technology area where I find technology can help to cater human information needs. With the Internet and now with Web 2.0 era (and now in Cloud computing), information privacy among the users may be threatened. Thus, combining privacy research hand in hand with ICT development would be crucial. Here are my main research interests:

        Information Privacy in Various contexts (Hospital Information Systems, Social Networking Sites, e-health)
        E-health developments (including m-health) & User Based Studies including Human Computer Interactions (usability & Sociability), IT Adoptions
        User based studies for e-learning
        Information Literacy
    • Research Interests
      • Qualitative Research Methodology including QDA software
        Human Computer Interaction Research Methodology including Think Aloud, Cogntitive Walkthrough, Delphi Study
        Research Methodology in general
        Ethics in ICT/Engineering
        Health Communications
  • Nasuha Lee Abdullah
    • Research Title
      • 1. Operations management in manufacturing industry.
        2. Productivity and process improvement and monitoring using IT systems.
        3. Performance monitoring using business analytic.
        4. New technology product idea generation.

    • Research Interests
      • Not specified
  • Nor Athiyah Abdullah
    • Research Title
      • Psychological influences of HCI, Human behavior in social media, Survey research, Usability studies
    • Research Interests
      • Not specified
  • Norlia Mustaffa
    • Research Title
      • Not specified
    • Research Interests
      • Information Retrieval, Database Security and E-Learning
  • Nur Hana Shamsudin
    • Research Title
      • Not specified
    • Research Interests
      • Not specified
  • Nur Intan Raihana Ruhaiyem
    • Research Title
      • Not specified
    • Research Interests
      • Not specified
  • Nur Syibrah Muhamad Naim
    • Research Title
      • Fuzzy Logic and Multi-criteria Group Decision Making system implement generalized fuzzy sets such as Type-2 Fuzzy Sets, Hesitant Sets and Intuitionistic Fuzzy Sets.
    • Research Interests
      • Application in ambient intelligent , notably type-2 fuzzy sets, multi-criteria group decision-making, fuzzy logic, intuitionistic fuzzy sets, fuzzy expert system, computing with words, evolutionary computation and other areas of application of fuzzy computing.
  • Nurul Hashimah Ahamed Hassain Malim
    • Research Title
      • - Enhancing Ligand-based Virtual Screening using computational algorithms
        - Drugs properties (ADME) prediction
        - Personality detection using sentiment analysis
        - Topic modeling in Social Network
    • Research Interests
      • Primary Research Interests:
        - Data Mining
        - Machine Learning
        - Information Retrieval

        Application area:
        @ Bio/Chemo- informatics
        @ Sentiment Analysis
        - Online Customer Review
        - Cybercriminal personality
        - Opinion Summarization
        @ Market Segmentation and Orientation
        - Market Basket Analysis
        - Topic Classification

        - GPU & Multi-core (Parallel Computing)

        Secondary Research Interest:
        - Emergence Technology (IOT (NFC) & E-commerce)
        - Digital Citizenship/Etiquette
  • Putra Sumari
    • Research Title
      • Video on demand application
        In layman terms, video on demand means “if you want to watch something (movie, educational material, news, etc.) the system will deliver it to you instantly”. In this infrastructure, the various research issues involved include:

        Server: Data allocation (how data are being placed on the server storage to support the high number of simultaneous users with limited bandwidth), bandwidth optimization, disk latency, array of disk, etc.

        VCR operation: VCR operation involves the ability to fast forward, rewind, pause, etc while watching videos. With the limited bandwidth of LAN over the internet, it is a challenging task for the VCR operation to support large number of users.

        Buffer: What are the best method and mechanism for buffer at the server site to support streaming video on time and at high speed to large number of users.

        As mobile communication technology expands and the number of handheld gadget (such as PDA, hand phone) used today increases, the challenge of video on demand becomes so apparent.

        Data Broadcasting
        Data broadcasting refers to the method data are being distributed from the server to users. The medium of broadcasting can be through wireless or wired network. The issue of limited bandwidth while trying to serve large number of users with no delay is crucial. Broadcasting video data is a challenge since it requires continuous streaming to users. The challenge becomes more interesting in the mobile infrastructure.
    • Research Interests
      • Watermarking, MPEG technology, compression and content based Information Retrieval
  • Rosnah Idrus
    • Research Title
      • Rosnah's current R&D activities are in the areas of enterprise resource planning (ERP) for small and medium enterprises (SMEs) and knowledge-based infostructure. She has received grants for research in wireless video conferencing and knowledge-based network monitoring and troubleshooting infostructure. She is also collaborating with colleagues in the School of Mechanical Engineering in capacity planning and ERP systems research.
    • Research Interests
      • Her other research interests include development of a virtual/digital library, integration of heterogeneous library bibliographical databases, computer ethics, social informatics and IPv6 migration planning.

  • Rosni Abdullah
    • Research Title
      • Prof. Rosni Abdullah is a professor in parallel computing and one of the national pioneers in the said domain. She was appointed Dean of the School of Computer Sciences at Universiti Sains Malaysia (USM) in June 2004, after having served as its Deputy Dean (Research) since 1999. She is also the Head of the Parallel and Distributed Processing Research Group at the School since its inception in 1994.

        Her main interest lies in the data representation and the associated algorithms to organize, manage and analyse biological data which is ever increasing in size. Particular interest is in the development of parallel algorithms to analyse the biological data using Message Passing Interface (MPI) on message passing architectures and multithreading on multicore architectures.

        Currently, the new interest is in neuroinformatics, i.e. the management and analysis of neuroscientific data

    • Research Interests
      • Parallel and Distributed Computing, Cluster Computing, Parallel Numerical Algorithms, Distributed Shared Memory, Mobile Agents and Computational Support for Bioinformatics Applications
  • Sharifah Mashita Syed Mohamad
    • Research Title
      • Software Reliability
        Software Testing, Verification and Validation
        Software Metrics and Measurement
        Iterative and Incremental Development
        Empirical Software Engineering
        Requirements Engineering
        Software Maintenance and Evolution
    • Research Interests
      • Software testing is an important indicator of software reliability and quality. The basic problem in testing is that someone needs to decide whether some specific software is reliable and able to be released. The emergence of iterative and incremental development in its various forms required a different approach to determining the readiness of the software for release. Our study aims to establish applicable measures of reliability for iteratively and incrementally developed software.

        The UML Testing Profile (UTP) defines a language for specifying, designing, constructing and documenting test cases. It extends UML to support testing activities and artefacts. The problem with UTP is at what level of abstraction it is targeted?

        Graduate Supervision:
        1. ROZITA BINTI KADAR, PhD, Cognitive Model for Effective Source Code Review (on-going).

        2. SITI NOR ASIKIN BINTI KAMALZAMAN, Master (Research), A Model For Managing and Tracking Modification Requests in Web Applications (2014).
        3. NURUL AFIQAH BINTI SHAMSUDDIN, Master (Research), Action-Based Help Technique to Improve Learnability and Understandability of Web Applications (2014).

        4. AIMI ELLIYANA RAIS, Master (Dissertation - Mixed Mode), Game-Based Approach to Support the Understanding of Object-oriented Concepts (2012)
        5. AL-FAHIM MUBARAK ALI, Master (Dissertation - Mixed Mode), Enhancing Generic Pipeline Model for Code Clone Detection Through Concatenation Process (2012).
        6. NUR HAFIZAH HARON, Master (Dissertation - Mixed Mode), TDCAM: An Analytic Approach to Test Adequacy Assessment (2015).
  • Siti Khaotijah Mohammad
    • Research Title
      • Not specified
    • Research Interests
      • Not specified
  • Sukumar Letchmunan
    • Research Title
      • Software Engineering
        Software Metrics
        Computer Systems
        Machine Learning
    • Research Interests
      • Please feel free to drop an email or call Dr Sukumar if you keen to pursue your Master degree by research on "Software Metrics area". Dr Sukumar developed and illustrated of a proposed 5 step strategy for guiding decision making on the most appropriate techniques to use for given historical datasets. This strategy is yet been tested on Malaysia Software Industry environment. Therefore there are lots of investigation opportunities on this area.
  • Syaheerah Lebai Lutfi
    • Research Title
      • Emotion and culture modeling, affective social signal processing, emotion detection and expression, user engagement, perceptions, usability studies, perceptional evaluations or experiments.
    • Research Interests
      • Development and evaluation of technologies in the general area of Affective and Social Computing, specifically culture-sensitive socio-emotional interfaces by using a combination of emotion sensing and synthesizing techniques such as speech processing, image processing, machine learning and non-verbal communication.

        For more details, please visit :)
  • Tan Tien Ping
    • Research Title
      • Automatic speech recognition, language recognition, speaker recognition, speech search, machine translation and natural language processing
    • Research Interests
      • Not specified
  • Umi Kalsom Yusof
    • Research Title
      • Resource (machine) optimization and line balancing in area of machine loading problems and Semiconductor industry capacity planning, scheduling and wip-in-progress (WIP)

        The main interest is to investigate and propose the algorithm to optimize the capacity planning under demand uncertainty environment in semiconductor industry. The nature of the business requires the algorithm to be robust to the changes of demand which volatile in nature. The main impact of the volatility of demand will be on the resources which are prepared in advance to meet the demand such as the machines and tools.

        The use of optimization technique is proposed in meeting the forecasted demand with the resources available. In addition, the technique should be able to detect the bottle-neck areas for capacity expansion. Stochastic programming such as Stochastic Linear Programming (SLP) has been recognized as an effective approach in dealing with uncertainty environment. Besides, revolutionary approaches such as Genetic Algorithm (GA) and Ant Colony Optimization (ACO) will be studied to optimize the resources used in the manufacturing.
    • Research Interests
      • Database Design and Management, Web Engineering and Technologies
  • Wahidah Husain
    • Research Title
      • Data Integration of Bioinformatics Databases

        The increasing availability of bioinformatics and medical information in public databases demands for practical information technology tools, able to give integrated and comprehensive access to previously scattered and unconnected data.

        Research aims is to build methods and integrated tools that enable the access to and use of dispersed, heterogeneous databases, to improve clinical and research practice. Current works in this area includes:

        Design of the methods and development of tools to access and integrate distributed bioinformatics and medical databases over internet.

        Development of a vocabulary server to store and relate different biological and medical terminologies.

        Development of a user friendly interface to help users to search, access, and retrieve the contents of remote databases.
    • Research Interests
      • Healthcare Information System and e-Health Monitoring
  • Wan Tat Chee
    • Research Title
      • Dr Wan Tat Chee's research interests are in the areas of Wireless Sensor Networks and Internet of Things, Computer Network Protocols, Multicast & Quality of Service issues and Embedded Real-Time Systems.

        He is an Associate Researcher with the National Advanced IPv6 (NAV6) Center of Excellence. He is also actively involved with the AIII (Asian Internet Interconnection Initiatives) and SOI Asia Project, an East Asia-wide satellite-based Internet and Distance Education group using satellite technologies to deliver live lectures from distributed sites within the region.

        Research projects undertaken as the principal researcher include:

        Development of ICT Infrastructure Platform for Network Monitoring – Wireless Monitoring, a Malaysian IRPA Prioritized Research (Top Down) grant

        Investigation of Satellite-Based Unidirectional Link for Wide Area Collaboration, a Malaysian IRPA Experimental Applied research grant

        Development of an Unidirectional Link Encapsulation (ULE), KEIO University, Japan research grant

        Research projects where he was a co-researcher include:

        Intelligent Network Monitoring System (NetMON), a Malaysian IRPA Long Term grant

        An Investigation Into Adaptive Digital Signal Processing for Wireless Communication: Modelling and Analysis of Algorithms, a Malaysian IRPA Long Term grant

        Multicasting IPv6 and Reliable Multimedia Conferencing over Satellite, a Malaysian IRPA Long Term grant
    • Research Interests
      • Not specified
  • Wan Mohd Nazmee Wan Zainon
    • Research Title
      • Not specified
    • Research Interests
      • Software Engineering (reuse, requirement engineering & software design pattern)
        Multimedia Information Retrieval, Computer Games, Graphics & Animations


        Discussions and applications for postgraduate research
        (in all area listed above) are welcome.


  • Wong Li Pei
    • Research Title
      • metaheuristics, scheduling and optimization in the areas of manufacturing, logistic, timetabling, supply chain, seaport and transportation management.

        ***MSc by Research (Full-time)***
        If you are considering to pursue MSc degree (by research) in the metaheuristic and optimization area, kindly contact me at lpwong{at} (anti SPAM measure: please physically adjust the {at} to the correct symbol)
    • Research Interests
      • Not specified
  • Yap Fa Toh
    • Research Title
      • Not specified
    • Research Interests
      • Not specified
  • Yu-N Cheah
    • Research Title
      • Knowledge Management

        Dr. Cheah Yu-N’s main interest in this area is to explore how computer science techniques can be employed to realise a variety of knowledge management processes, i.e. to create, identify, collect, organise, share, adapt, and apply knowledge. This effort translates into various initiatives such as the following: Tacit knowledge acquisition, Knowledge discovery and data mining, Knowledge organisation, Intelligent agents
        Coalition formation, Automatic question answering, Personal knowledge publishing, and Knowledge email.

        A majority of the implementations are in the form of client-server applications. This is in line with the widespread adoption of intranet- and internet-based environments in many organizations.

        Health Informatics

        Dr. Cheah’s interest in this area focuses on adapting computer science and knowledge management techniques for healthcare purposes. In view of this, some of the research topics can be adapted into other domains besides healthcare. In general, the various research outputs can be incorporated into a platform that aims to provide a variety of processors and services for healthcare knowledge management. Some of the areas being explored are as follows: Dynamic healthcare planning, Healthcare decision support, Clinical case acquisition, and Healthcare portals.
    • Research Interests
      • Knowledge management, intelligent systems, and health informatics, coalition formation, ontologies, organisational modelling, organisational memories, problem-based learning, dynamic planning, question answering systems, sentiment analysis, knowledge discovery and knowledge-based systems.
  • Zarul Fitri Zaaba
    • Research Title
      • • Information Security
        • Security and Usability (Usable security)
        • Human aspects of security
        • Acceptance of security
    • Research Interests
      • • Security Management and culture
        • Risk assessment and Vulnerability management
        • Internet Safety
  • Zulkifli Dol
    • Research Title
      • Information retrieval in large genomic datasets (Bioinformatics)
    • Research Interests
      • Not specified
  • Zurinahni Zainol
    • Research Title
      • To develop a tool for an automatic generation of XML document schema design to produce a non- redundant XML schema for required application using conceptual model and database normalization theory. This tool can be used to support management of highly complex data structures such as scientific databases which contain complex semi-structured data, e;g molecular biology and protein data.

        To achieve this aim we have :
        i) Developed a conceptual model named Graph - Document Type Definition (G-DTD) to describe XML document at the schema level
        ii) Redefined a set of normal form for G-DTD: First Normal Form (1XNF), Second Normal Form (2XNF), Third Normal Form (3XNF) and Fourth Normal Form (4XNF). This set of normal form can be used as a guideline to the user to design non-redundant XML document schema on the basis of user application.
        iii) Developed a novel prototype of XML Document Schema Design using Z formal specification language
        iv) Developed a case study to test the XML document design specification to demonstrate that specification constructed is satisfied and consistent with certain criteria of XML document design
    • Research Interests
      • Software Engineering
        Semantic Web
        Data management and data mining in Medical Data