Concentrations by faculty
Strategic Research Strengths
The Faculty of Computer Science identifies its high-level strategic research areas as: Big Data, Systems, and HCI and Visualization.
Faculty Member Research Interests
Dr. Raza Abidi
Semantic Web, Health Informatics, Knowledge Management, Information Personalization & Intelligent Systems
Dr. Dirk Arnold
Evolutionary computation, optimisation, image processing, computer graphics and animation.
Dr. Robert Beiko
Bioinformatics, Comparative genomics and phylogenetics, Machine learning, Visualization of biological data
Dr. Christian Blouin
Protein evolution and biophysics, algorithms, phylogenetics, high-performance computing, statistical mechanics, molecular modeling.
Dr. J. Blustein
Hypertext, Human-Computer Interaction, Web Science, Digital Libraries, Annotation, Text Analytics, and e-Learning, Sensemaking, Information Seeking
Dr. Alex Brodsky
Distributed computing and distributed systems, Discrete mathematics and computation complexity, Operating systems and related topics
Dr. Stephen Brooks
Computer graphics, visualization and 3D geospatial information systems.
Dr. Qigang Gao
Machine intelligence and knowledge-based systems, computer vision and image analysis, data warehousing and data mining, data visualization, and GUI.
Dr. Kirstie Hawkey
Human Computer Interaction (HCI), Usable Privacy and Security, Interactive Information Visualization, Mobile Device Interactions, Computer-Supported Cooperative Work (CSCW), and Personal Information Management (PIM)
Dr. Meng He
Algorithms and data structures, especially fast and space-efficient algorithms and data structures, including succinct data structures, string algorithms and text indexing, I/O-efficient algorithms, implicit data structures, and adaptive algorithms. Computational Geometry, especially efficient algorithms and data structures for computational geometry. Efficiency Issues in databases, text retrieval systems, bioinformatics and geographic information systems.
Dr. Malcolm Heywood
Genetic Programming particularly within the context of coevolution and reinforcement learning tasks. Potential application domains include intrusion detection, behavioural modelling, gaming and control.
Dr. Nauzer Kalyaniwalla
Networked Information Spaces, analysis of massive dynamic graphs, graph and tree compression algorithms, compressibilty as a measure of information content in graphs
Dr. Vlado Keselj
Text Processing, Natural Language Processing, Data Mining, Algorithmics, Multi-Agent Systems, Computational Number Theory, Programming Languages
Dr. Michael McAllister
Distributed systems, networks, privacy and security, computational geometry
Dr. Evangelos E. Milios
Networked Information Spaces, Machine Learning, Social Network mining, Digital Libraries.
Dr. Andrew Rau-Chaplin
High Performance Computing, Parallel Algorithms & Applications, Data Warehousing and OLAP, and Risk Analytics.
Dr. Derek Reilly
Human Computer Interaction (HCI), Ubiquitous Computing, Mixed Reality, Whole Body Interaction, Computer Supported Cooperative Work (CSCW), Information Visualization
Dr. Srinivas Sampalli
Security and Quality of Service in Hybrid (Wireline and Wireless) Networks; Virtual Private Networks; Active Networks; Secure Voice, Video and Image transfer with Quality of Service; High performance switching and routing; Secure Grid Computing.
Dr. Michael Shepherd
Information retrieval, hypertext, web information systems, electronic news delivery, information filtering, genre in digital documents, medical informatics
Dr. Thomas Trappenberg
Computational neuroscience and machine learning
Dr. Carolyn R. Watters
Hypertext, information retrieval, electronic news, technology and learning, hypertext design and modelling.
Dr. Norbert Zeh
Algorithms and data structures, I/O-efficient and cache-oblivious algorithms, parallel algorithms, graph algorithms, computational geometry
Dr. Nur Zincir-Heywood
Computer networks, network operations, network data analysis, system data analysis, computational intelligence
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