Meet the team

Rita Orji

She is a Canada Research Chair in Persuasive Technology and an Associate Professor at the Faculty of Computer Science , Dalhousie University where I direct the Persuasive Computing Lab. Her research areas include Human-Computer Interaction, Persuasive Technology, Games for Change, and Digital Health. Her research group is particularly interested in investigating user-centered approaches to designing interactive systems to motivate people for actions and causes that are beneficial for them and their communities as well as how interactive systems can be designed for the under-served population (HCI for Development (HCI4D)).

Stan Matwin

He is a Canada Research Chair (Tier 1) at the Faculty of Computer Science, Dalhousie University, and the Director of the Institute for Big Data Analytics. He also Emeritus Distinguished Professor of Computer Science at the University of Ottawa, and a Professor in the Institute of Computer Science of the Polish Academy of Sciences.

Swarna Weerasinghe

Swarna Weerasinghe's research focuses on development of new statistical methods to analyze complex data structures, where traditional methods are no longer applicable and big data analytics. Current research focuses on healthcare utilization by vulnerable communities and modeling environmental health and emergency department use data.

Hamed Jelodar

Hamed Jelodar received the Ph.D. degree from the Nanjing University of Science and Technology in 2021. He is currently a research assistant and visiting student in the Department of Computer Science at Dal University, Canada. He is the author or co-author of several papers in the database and leading AI journals. His research includes text data mining, machine/deep learning, NLP, and health Informatic.

Oladapo Oyebode

OLADAPO OYEBODE is a PhD candidate at Dalhousie University, Canada. He received his Master's degree in Computer Science from Western University, Canada. His research interests include Human-Computer Interaction, Persuasive Technology, Adaptive Systems, Affective Computing, Artificial Intelligence, and Health Informatics. He has published over 20 peer-reviewed research articles in these areas. He is currently tackling real-world problems in various health domains, including designing and developing persuasive and adaptive systems/interventions to promote healthy lifestyles and behaviours. He has served as reviewer for international conferences and journals, and co-organized international workshops. He has over 10 years industry experience in computing, specifically in the area of software engineering (web/mobile/desktop apps), data science, data engineering, machine learning, natural language processing, and cloud solutions.