Dr. Alaa Alslaity, is an assistant professor at Trent University and a researcher at the Persuasive Computing Lab, Dalhousie University. He received his Ph.D. degree in Computer Science from the University of Ottawa, Canada. His Ph.D. thesis was nominated for the Best Ph.D. Thesis Award 2021. Dr. Alslaity has published over 30 peer-reviewed papers, two of which have received the Best Paper Award. His research interests include persuasive technology, personalization, Recommender Systems, user modelling, and Human-Computer Interaction. Dr. Alslaity serve as a reviewer in several reputable venues.
Dr. Rita Orji, is a Canada Research Chair and Computer Science prof. at Dalhousie University, Canada. She is well-known for her work in the area of Personalizing Persuasive Technology and has published over 200 peer-reviewed papers in this area. Her work has won several awards, including best paper awards. Recently, she was recognized as one of the Top 150 Women in Canada Changing the World through Science, Technology, Engineering, and Mathematics (STEM). She has many years of experience serving on program and steering committees, co-chair, and associate chair for several HCI conferences including the Persuasive Technology Conference. Dr. Orji has successfully co-organized many workshops, including organizing the Personalizing Persuasive Technology Workshops since 2016, Personalization in Serious and Persuasive Games and Gamified Interactions Workshop 2015 and 2017, Positive Gaming: Workshop on Gamification and Games for Wellbeing 2017.
Oladapo Oyebode is a PhD candidate at the Faculty of Computer Science, 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, Digital Health, and Health Informatics. He has published over 35 peer-reviewed research articles in international journals and conferences including premier and high-impact venues. He has also collaborated with academic and industry experts on important research over the years. His focus is on tackling real-world problems across various domains including health such as designing and developing intelligent, personalized, and adaptive persuasive systems for improving physical and mental well-being. He has served as reviewer for diverse international journals and conferences, and has co-organized international workshops. He is also a review editor for some reputable and established international journals. He has over 10 years industry experience across various computing fields including software engineering (web/mobile/desktop apps), data science, data analytics, data engineering, machine learning, natural language processing, and cloud solutions.
Dr. Jaap Ham, is associate professor of human-technology interaction at Eindhoven University of Technology, The Netherlands. His research focus is on the social-cognitive characteristics of human-technology interaction. More specifically, he studies questions concerning persuasive technology, user adaptation, persuasive robotics, and ambient (persuasive) intelligence. He is currently associate editor of the International Journal on Social Robotics, and published in a variety of international scientific journals, and co-editor special issues on persuasive technology and personalization (UMUAI) and e-coaching (PUC). Also, he is involved in the management of several European and nationally funded research projects, often in close collaboration with industry.
Dr. Kiemute Oyibo is an Assistant Professor of Computer Science with the Interactive Systems Research Group in the Department of Electrical Engineering and Computer Science. He joined York University in the summer term of 2022. He received his Ph.D. in Computer Science from the University of Saskatchewan in 2020. He did his postdoctoral fellowship at the University of Waterloo and Carnegie Mellon University. His research interests include Persuasive Design, Personalization, User Modeling, User Experience, and Digital Health. He has published over 90 scientific papers in these areas, which have received over 1000 citations on Google Scholar. His persuasive design of a culture-tailored fitness app won the Gold Award at the Human Computer Interaction International 2019 Student Design Competition in Florida. His research proposal on designing contact tracing apps as persuasive technologies was nominated for the 2022 national Banting Fellowship competition by the University of Waterloo. Kiemute’s long-term goal is to use personalization to tackle digital health inequities in high-, middle-, and low-income countries. He is currently researching the utilization of machine learning techniques to personalize persuasive systems and bridge the digital divide in the health domain.
Dr. Ifeoma Adaji, is an Assistant Professor at the University of British Columbia, Canada. Ifeoma’s research is in designing and developing behaviour change systems and persuasive technologies (such as serious games and mobile/web applications) that aim to motivate and support people to adopt behaviours that are beneficial to them and society. Her research also involves mining the data generated by online users to better understand their past behavior in order to positively influence future behaviour. Furthermore, my research entails analyzing social networks to explain patterns and trends, to interpret the role of users in the network, and to identify the flow of (mis)information within the network.