Research Strengths

Be involved with innovative and important research

Through Dalhousie's highly regarded Master of Computer Science program and PhD, you have the opportunity to join the Faculty of Computer Science in developing innovative research.

You'll work alongside our award-winning faculty to find the right research area for you in our major areas of specialization:

Big Data and Machine Learning

Our key areas of focus in Big Data and Machine Learning include data mining, knowledge management, health data analytics and bioinformatics. The Big Data Analytics theme aims to extract insights and support decision-making based on large sets of data that accumulate from human activity, which dramatic advances in computing, digital storage, networking, and sensor technologies have made possible.

Our Researchers

View the full list of our researchers.

Our Big Data and Machine Learning research team includes:

Dr. Stan Matwin
A Canada Research Chair (Tier 1), Dr. Stan Matwin is recognized internationally for his work in text mining, applications of Machine Learning, and data privacy, and author and co-author of more than 250 research papers. He is also the Director of the Institute for Big Data Analytics.

Dr. Fernando Paulovich
Dr. Fernando Paulovich is an associate professor and Canada Research Chair in Data Visualization. My research interests involve visualization, visual data mining, and visual analytics, more specifically visual representations to help people on understanding the "brave new information world."

Dr. Stephen Brooks
With current interests lieing in the areas of non-photorealistic rendering, image editing, animation and visualization, Dr. Stephen Brooks led research projects including Hybrid 2D/3D Geospatial Information Systems, Digital Scrapbooks for 3D GIS and Real-time Ocean Modelling. 

Dr. Raza Abidi
Dr. Raza Abidi's interests span health informatics, semantic web, knowledge management and data analytics. From a health informatics perspective, his research focuses on clinical decision support systems, computerization of clinical guidelines, health data analytics, patient empowerment strategies, behaviour modification progams and mobile health. 

 

Human-Computer Interaction, Visualization and Graphics 

The HCI, Visualization and Graphics theme aims to advance the interfaces between humans and computers in terms of the presentation of information for human consumption, and the design of technologies that make the use of computers useful, effective, and enjoyable. Key areas of focus include ubiquiotous computing, mobile graphic interfaces, collaboration technologies and text visualization.

Our Researchers

View the full list of our researchers.

Our Big Data and Machine Learning research team Our Human-Computer Interaction, Visualization and Graphics research team includes:

Dr. Derek Reilly
Dr. Derek Reilly's research generally explores post-desktop computer interfaces, particularly their relationship to the built environment and to human physicality. The work crosses a range of technical domains, including interactive visualization, mobile computing, mixed reality environments, interactive exhibits and whole body interaction. He is also a member of the Graphics and Experiential Media (GEM) Lab 

Dr. Kirstie Hawkey
Dr. Kirstie Hawkey's research interests lie in Human Computer Interaction (HCI), Usable Privacy and Security, Computer-Supported Cooperative Work (CSCW), Personal Information Management (PIM), Information Visualization, Mobile Devices, Assistive Technology (persons with Alzheimer's Disease), and Web Browsing Behaviour.

Dr. Rita Orji
Dr. Rita Orji's research examines how interactive technologies can be designed to motivate desirable behavior change. She is particularly passionate about studying how Persuasive Technologies and Behavior Change Support Systems can be designed to help people move towards improved health and wellness. 

Dr. Jamie Blustein
Dr. Jamie Blustein's overall goal is to help people find and use information more effectively through interdisciplinary and collaborative research. Much of his research is conducted under the mantle of the HAIKU research group.

Dr. Carolyn Watters
Provost & Vice-President, Academic of Dalhousie University, her research stems in hypertext, information retrieval, electronic news, technology and learning, hypertext design and modelling.

 

Systems, Networks and Security

The Systems theme aims to advance knowledge of computer systems that enable the information and communication technologies space of applications. Key areas of focus include security in computer networks, data privacy, information systems and high-performance computing.

Our Researchers

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Our Systems, Networks and Security research team includes:

Dr. Srini Sampalli
Professor and 3M National Teaching Fellow, Dr. Srini Sampalli's research work spans cyber security, risk mitigation, vulnerability analysis, intrusion detection and prevention, emerging wireless technologies, mobile computing, applications of near field communications (NFC), radio frequency identification (RFID) systems, smartphones, sensor networks and body area networks.

Dr. Nur Zincir-Heywood
Dr. Nur Zincir-Heywood's interests lie in designing and developing autonomous and intelligent systems for solving network operations and security related problems. Some of her main projects are in the areas of network traffic analysis, anomaly and fraud / intrusion detection, monitoring and performance analysis, system and application data analysis as well as fault diagnosis and prediction.

Dr. Israat Haque
An expert in Systems, Networks and Security, Dr. Israat Haque focuses on topics including Software Defined Networking (SDN), Wireless Sensor Network (WSN), Internet of Things (IoT), and Network Design and Optimization.

 

Ocean Analytics

Our research in ocean data and analytics encourages more effective collaboration between science and innovation in the oceans sector, combining people and leading-edge data analytics with disruptive ocean sensing technologies – solving growth challenges for ocean industries. Examples of our work in this area includes developing techniques for automatically identifying and measuring scallops in seafloor images, and for distinguίshing them from other animate or inanimate objects; Analysis of holographic water samples with deep networks, and; he design of visual analytics for real-time aquaculture optimization.

Our Researchers

View the full list of our researchers.

Our Ocean Analytics research team includes:

Dr. Stan Matwin
A Canada Research Chair (Tier 1), Dr. Stan Matwin is recognized internationally for his work in text mining, applications of Machine Learning, and data privacy, and author and co-author of more than 250 research papers. He is also the Director of the Institute for Big Data Analytics.

Dr. Andrew Rau-Chaplin
Dean of the Faculty of Computer Science, Dr. Andrew Rau-Chaplin's research has focussed on the application of High Performance Computing (HPC) in data and computationally intensive challenges in domains including data warehousing, OLAP, spatial information systems, catastrophe modeling, and risk analytics. His academic research has lead to over 100 publications in conferences and journals and his M.Sc. and Ph.D. students have gone on to positions in academia and leading technology companies including Google, Microsoft, and Intel.

Dr. Evangelos Milios
Dr. Evangelos Milios has research interests in Visual Text Analytics, Modelling and Mining of Networked Information Spaces, Text Mining, Graph Mining, Social Network Analysis.