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Marie D. MartelView profile

Professor

• Library Science
• Public Libraries
• Digital Humanities
• +7 more

Rôle et affiliation : Marie D. Martel est Professeure agrégée au sein de l'École de bibliothéconomie et des sciences de l'information (EBSI) de l'Université de Montréal, rattachée à la Faculté des arts et des sciences. Ses travaux portent sur les bibliothèques publiques, l'innovation sociale, la littératie communautaire, et les enjeux éthiques dans l'intelligence artificielle. Elle supervise des étudiants à la maîtrise, comme Romy Otayek (2023). Recherche : Ses intérêts incluent la transition socioécologique des bibliothèques, l'inclusion sociale, et le rôle des bibliothèques dans la médiation culturelle et numérique. Elle dirige des projets financés par des organismes québécois et canadiens, notamment sur les pratiques d'intelligence artificielle en bibliothèque universitaire et les stratégies de développement des compétences en littératie chez les adolescents. Publications clés : Ses écrits couvrent des sujets tels que l'impact des ateliers Wikipédia en bibliothèque, la conception interculturelle des espaces publics, et l'histoire des femmes bibliothécaires au Québec. Elle a co-écrit un ouvrage sur le mouvement Wikimédia au Canada (2024). Subventions et réseaux : Elle participe à des regroupements stratégiques comme le Centre de recherche interuniversitaire sur les humanités numériques (CRIHN) et a reçu des financements du FRQSC, FQRNT, et CRSH. Ses collaborations portent sur des questions d'EDI (Équité, Diversité, Inclusion) et de services bibliothéconomiques adaptés aux publics vulnérables. Engagements : Elle milite pour une bibliothèque Saint-Sulpice comme laboratoire pour les jeunes et contribue à des déclarations éthiques sur l'intelligence artificielle (Déclaration de Montréal, 2018). Ses initiatives incluent des ressources éducatives libres et des études sur les grainothèques et les pratiques écoresponsables en bibliothèque.

• Medical Education
• Skin Cancer
• 3D-Bolus
• +3 more

Lara Best serves as Associate Professor and Program Director for the Residency Program within the Department of Radiation Oncology at Dalhousie University's Faculty of Medicine. Her clinical expertise spans head and neck cancer, skin malignancies, central nervous system (CNS) tumors, and benign conditions requiring radiation therapy, with active practice across multiple clinical sites. Her educational background includes: MD from Queen's University FRCPC certification from Western University MEd from Acadia University FRANZCR fellowship from Australia Dr. Best's research centers on medical education innovation, particularly transition-to-practice challenges for radiation oncology residents, and clinical applications of 3D-bolus technology in skin cancer management. She investigates quality indicators for breast cancer treatment and develops patient engagement strategies through visible quality displays, bridging educational theory with clinical radiation oncology practice. Analysis of her 2017-2020 publications reveals consistent focus on residency training methodologies and quality assurance systems. Key trends include developing transitional rotations, assessing resident research attitudes, and implementing province-wide patient engagement initiatives in Canadian maritime radiation oncology departments, with strong emphasis on educational outcomes and clinical safety. Her contributions have been recognized through: RANZCR Graduation Ceremony Declaration of Geneva presenter role Governor General’s Award for Academic Excellence (Acadia University, 2019) Consecutive Teacher of the Year awards (Department of Radiation Oncology, 2018-2019) As Residency Program Director, Dr. Best oversees curriculum development and mentorship for radiation oncology trainees while serving on the TROG Independent Data and Safety Monitoring Committee. Her administrative leadership extends to quality improvement projects and educational research initiatives, though specific grant details are not documented in source materials. She collaborates with multidisciplinary teams across the Canadian maritime provinces to implement patient visible quality displays and advance clinical protocols. Her work integrates closely with the Department of Radiation Oncology's clinical operations at Dalhousie University, where she manages complex cases including skull base tumors and radiation-sensitive malignancies.

Evgenia TernovskaView profile

Associate Professor

• Descriptive Complexity
• Theoretical Computer Science
• Knowledge Representation
• +4 more

Evgenia Ternovska is an Associate Professor at Simon Fraser University specializing in Computational Logic, with research spanning Descriptive Complexity, Theoretical Computer Science, Knowledge Representation, and Reasoning about Actions. She has served as Senior PC Member for ECAI 2020 and Co-Organizer for LICS 2019, alongside extensive roles in AAAI, IJCAI, KR, and LPNMR conferences over the past decade. She earned her PhD in Artificial Intelligence in 2002 from the University of Toronto under Ray Reiter. Her current research focuses on Descriptive Complexity, Algebra of Modular Systems, Model Expansion, and Logic of Information Flows. Dr. Ternovska actively recruits PhD students and postdoctoral researchers for PIMS-funded positions, emphasizing declarative programming and computational logic applications. Her conference service includes program committees for 15+ major AI events since 2008, reflecting deep community engagement in logic-based AI research.

• Artificial Intelligence
• Political Science
• Democracy
• +3 more

Jean-François Gagné is a Lecturer in the Department of Political Science at the University of Montreal's Faculty of Arts and Sciences. He holds a PhD in Political Science from the University of Montreal (2013). His research focuses on comparative analysis of national artificial intelligence strategies and the impacts of technologies on democracy. He is affiliated with the Centre d'études et de recherches internationales (CÉRIUM) and is an associated member of the Centre d'études d'Asie de l'Est (CÉTASE). Previously, he was a researcher at the Raoul-Dandurand Chair in Strategic and Diplomatic Studies and a political analyst at Exportation et Développement Canada. His research projects include 'Les visions du futur de l'intelligence artificielle' (2021-2023), examining socio-technical imaginaries among AI entrepreneurs, and a postdoctoral fellowship supporting Sylvain Munger's work (2020-2023). He has been funded by organizations like the Secrétariat des programmes interorganismes and the Fonds de recherche du Québec - Société et culture (FQRSC). Gagné's publications span hybrid regimes, rentier states, and resource conflicts, with work appearing in journals like Studies in Comparative International Development and Politique et Société . He currently advises on programs and teaches at the University of Montreal while contributing to the Montréal Declaration for Responsible AI's algorithmic governance initiatives.

Roger PilonView profile

Associate Professor

• Indigenous health
• Decolonization of healthcare
• Type 2 diabetes care
• +6 more

Dr. Roger Pilon is an Associate Professor and currently serves as Vice-Dean (Health Sciences) and Director of the School of Nursing at Queen's University. He holds an additional affiliation as Assistant Professor at the Northern Ontario School of Medicine (NOSM) within the Undergraduate Medicine Theme 1 program. His academic journey includes a PhD in Rural and Northern Health (Laurentian University, 2015), an MScN (2008), and a BScN (1989), all from Laurentian University. Dr. Pilon’s research focuses on decolonizing type 2 diabetes care for Indigenous communities, emphasizing qualitative methodologies such as ethnography, grounded theory, and community-based participatory research. He has collaborated extensively with First Nation communities along Lake Huron’s North Shore for over 25 years. His interests also span Indigenous health systems, cultural safety in healthcare, and curricular reforms to Indigenize nursing education. Future goals include advancing decolonized diabetes care models, addressing intimate partner violence in Indigenous communities, and mentoring health professionals through graduate supervision. His teaching philosophy integrates multiple learning theories (behaviorism, constructivism, connectivism) to foster critical thinking and cultural competence. Key strategies include promoting interdisciplinary learning, fostering a safe educational environment, and emphasizing ethical values like respect and integrity. Dr. Pilon collaborates with institutions such as Maamwesying-North Shore Community Health Services and NOSM’s interprofessional teams. He actively advocates for the Truth and Reconciliation Commission’s Calls to Action and the UN Declaration on Indigenous Peoples within healthcare education.

Joanne AtleeView profile

Professor

• Software Engineering
• Software Product Lines
• Feature Interaction Analysis
• +4 more

Joanne Atlee is a Professor in the Department of Computer Science at the University of Waterloo, Canada. She serves as Director of Women in Computer Science, actively promoting gender equity in the field. Her research focuses on software product line engineering, feature interaction analysis, and visualization of software analysis results. She holds a Ph.D. (1992), M.Sc. (1988), and B.Sc. (1985) from the University of Maryland and College of William and Mary. Education: Ph.D., Computer Science, University of Maryland, 1992 M.Sc., Computer Science, University of Maryland, 1988 B.Sc., College of William and Mary, 1985 Research Interests: Analysis and visualization of large distributed software systems Semantics of software feature composition Feature interaction detection and resolution Formal methods in software engineering Model-driven engineering Her work emphasizes industrial applications, particularly in automotive software and safety-critical systems. Recent research trends in her publications include: Exploring AI-driven code analysis (e.g., distinguishing human vs. GPT-4-generated code) Advancing visualization techniques for software product line analysis (e.g., Neo4j-based tools) Addressing scalability challenges in formal verification for industrial systems As an advocate for diversity, her work on gender representation in software engineering communities bridges technical and sociotechnical aspects of the discipline. She has advised numerous industrial collaborations in automotive and embedded systems domains, though no specific student names are listed in available materials. Labs/Teams: Leads the Women in Computer Science initiative at Waterloo and collaborates with automotive industry partners through formal methods research.

• Machine Learning
• Stochastic Control
• Statistical Modeling

Yan Yu is a PhD candidate in Statistics at the University of Waterloo under Dr. Bin Li's supervision. Her research interests include machine learning applications and stochastic control systems. Technical expertise spans: Workflow state machine error handling Streaming data view maintenance MapReduce resource optimization

Yoshua BengioView profile

Professor

• Machine Learning
• Deep Learning
• Artificial Intelligence
• +5 more

Yoshua Bengio is a Full Professor at Université de Montréal's Department of Computer Science and Operations Research, and a leading global expert in deep learning. He is the founder and scientific advisor of Mila Quebec AI Institute, and holds a Canada CIFAR AI Chair. His work has revolutionized AI, earning him the 2018 Turing Award ("Nobel of computing") and multiple accolades including the Killam Prize and Officer of the Order of Canada. Education: PhD in Computer Science (McGill, 1991), postdocs at MIT (1991-1992) and AT&T Bell Labs (1992-1993). Research focuses on deep learning theory, generative models, and AI ethics. He co-leads the CIFAR Learning in Machines & Brains program and advises IVADO. Concerned about AI's societal impact, he co-authored the Montreal Declaration for Responsible AI and chairs global AI safety initiatives. Recent research spans AI safety frameworks, causal machine learning, and climate change applications. Over 200 students supervised, including PhDs and postdocs. Key awards include Royal Society Fellowships, IEEE Pioneer Award, and UN Scientific Advisory Board membership.

• Artificial Intelligence
• Statistical Relational Learning
• Probabilistic Reasoning
• +4 more

David Poole is a Professor of Computer Science at the University of British Columbia, where he has established himself as a leading researcher in Artificial Intelligence with an h-index of 52 and over 19,000 total citations. His academic career spans more than three decades, with publications dating from 1985 to 2025, demonstrating sustained research productivity and relevance in the field. Professor Poole's research focuses on the integration of logical and probabilistic approaches to artificial intelligence. His work bridges symbolic AI and statistical methods, creating frameworks that handle uncertainty while maintaining logical expressiveness. He has made seminal contributions to probabilistic Horn abduction, Bayesian networks, and statistical relational artificial intelligence. His theoretical work on the Independent Choice Logic (ICL) has provided foundational frameworks for representing and reasoning with uncertainty in complex domains. His applied research spans geological analysis, educational technology, and mineral exploration. Professor Poole has authored influential textbooks including 'Computational Intelligence: A Logical Approach' (1998, 1,915 citations) and 'Artificial Intelligence: Foundations of Computational Agents' (2010, 1,750 citations), which have shaped AI education globally. His recent publications (2020-2025) demonstrate continued innovation in knowledge hypergraphs, relational neural networks, and geological hazard mapping applications. His most impactful research areas include: Statistical Relational Learning (as evidenced by the 2016 book 'Statistical Relational Artificial Intelligence') Knowledge Graph Embeddings and Hypergraphs CP-nets for preference representation (1,293 citations) Lifted probabilistic inference techniques Applications of AI in geological hazard prediction Professor Poole maintains active research collaborations with institutions worldwide, including Google DeepMind, universities in Hong Kong, Germany, and the United States. His work continues to influence both theoretical foundations and practical applications of artificial intelligence.

Yuepeng WangView profile

Assistant Professor

• Programming Languages
• Formal Methods
• Software Engineering
• +1 more

Yuepeng Wang is an Assistant Professor at the School of Computing Science, Simon Fraser University, Canada. He received his PhD and MSc from the University of Texas at Austin and BEng (honors) from the University of Science and Technology of China. Previously, he was a postdoctoral researcher at the University of Pennsylvania. Academic Honors: Distinguished Paper Award (OOPSLA'24, OOPSLA'17) Research Focus: Programming languages, formal verification, program synthesis, software engineering, and databases His research combines program verification and synthesis techniques across database applications, smart contracts, and software refactoring. Recent work focuses on SQL query equivalence, smart contract verification, and synthesis-driven database transformations. He supervises multiple graduate students and teaches advanced courses in programming languages and formal verification. He has contributed 15+ publications to top venues including PLDI, OOPSLA, ICSE, and POPL. His service includes program committee roles at POPL'26, SAS'25, and artifact evaluation committees for OOPSLA'23 and CAV'20. He also received the Distinguished Reviewer Award from PLDI'24.

• Declarative Programming
• Answer Set Programming
• Knowledge Representation
• +2 more

Jia-Huai You is Professor in the Department of Computing Science at the University of Alberta, where he previously served as Department Associate Chair (Graduate). His research focuses on declarative problem-solving paradigms in artificial intelligence. Research examines computational aspects of knowledge representation systems including answer set programming, constraint programming, and SMT solving. Current investigations analyze semantic foundations, computational properties, and implementation strategies for declarative systems.

Gavin MoodieView profile

Adjunct Professor

• Higher Education Policy
• Vocational Education and Training
• Tertiary Education Systems
• +5 more

Gavin Moodie is an Adjunct Professor in the Department of Leadership, Higher, and Adult Education at the Ontario Institute for Studies in Education (OISE), University of Toronto, and an honorary fellow of the University of Oxford Centre for Skills, Knowledge and Organisational Performance. With over 35 years of experience in Australian universities, primarily in administrative roles, he brings extensive practical knowledge to his academic work. His educational background includes a PhD from the University of New England (2006), an LLB from the University of Melbourne (1981), and a BA (Hons) from the same institution (1973). He also holds a Certificate IV in Training and Assessment from RMIT (2011). Moodie's research focuses on the complex relationships between vocational and higher education systems, with particular emphasis on educational pathways, articulation arrangements, and the implications of marketization on tertiary education. His work examines how students navigate between different sectors of education, how institutions can better serve diverse student populations, and how policy frameworks shape educational opportunities. Through his comparative international approach, he has illuminated both common challenges and distinctive national approaches to structuring tertiary education. His publications reveal a consistent interest in how educational systems can be structured to promote greater equity and social justice, particularly examining how vocational qualifications relate to higher education pathways and how these relationships affect students from different socioeconomic backgrounds. His two major books provide comprehensive analyses of the historical evolution of universities in the face of technological change and the structural relationships between vocational and higher education systems internationally. Principal Policy Adviser , RMIT (2010-2013) Principal Policy Adviser , Griffith University (2002-2009) Head of Student Administration , then of Quality and Strategy, Victoria University, Melbourne (1996-2002) Deputy Executive Officer , South Australian Tertiary Admissions Centre (1994-1996) Moodie has contributed to numerous policy discussions through submissions to government reviews in both Australia and Canada, focusing particularly on how educational structures can be designed to improve access and outcomes for underrepresented groups. His work bridges academic research and practical policy application, making significant contributions to understanding how educational systems can better serve diverse student populations.

Chrystopher NehanivView profile

Professor

• Algebra
• Transformation Semigroups
• Complex Adaptive Systems
• +5 more

Chrystopher Nehaniv is a full-time Professor in the Department of Biomedical Engineering at the University of Waterloo, actively contributing to research groups including Intelligent and Autonomous Systems, Physical Systems and Mechatronics, and Human Factors and Interfaces. His work bridges mathematical theory with practical applications in robotics and complex systems, reflecting a strong interdisciplinary approach across engineering and cognitive sciences. His research spans algebraic structures in transformation semigroups, complex adaptive systems, and human-robot interaction. Key interests include cellular automata, autopoiesis, dynamical systems theory, and EEG microstate analysis, with significant theoretical contributions to semigroup complexity and practical implementations in domestic service robotics. Recent work emphasizes biologically inspired imitation learning, continual adaptation in human-robot teams, and mathematical modeling of social dynamics in games and neural systems. Analysis of his 15 most recent publications (2024-2025) reveals three dominant trajectories: (1) foundational algebraic work on transformation semigroups and finite groups applied to sandpile models, traffic systems, and game theory; (2) robotics innovations in social referencing, mental imagery, and continual learning for domestic service robots; and (3) neuroscience applications through EEG microstate syntax analysis and neural dynamics modeling. These threads consistently integrate rigorous mathematical frameworks with real-world complex systems challenges. No scientific awards or fellowships were mentioned in the provided materials. While specific student advisees and grant details were absent from the source text, his extensive publication record in human-robot interaction and complex systems suggests active supervision in interdisciplinary robotics projects. The absence of explicit grant mentions contrasts with his high-output research profile across multiple domains. Nehaniv operates within Waterloo's Intelligent and Autonomous Systems research ecosystem, collaborating across physical robotics (mechatronics, human factors) and theoretical frameworks (BIOMICS interaction computing). His work with the iCub robot platform and domestic service robot implementations indicates hands-on laboratory engagement, particularly in social interaction validation and object disambiguation systems.

John Paul MindaView profile

Professor

• Cognitive Psychology
• Category Learning
• Concept Formation
• +3 more

Dr. John Paul Minda is a Professor in the Department of Psychology at Western University and an associate director of the Western Institute for Neuroscience. He holds a PhD from the University of Buffalo and was a Beckman Fellow at the University of Illinois. His research focuses on categorization, concept formation, and their influence on decision-making. He has authored influential books like *The Psychology of Thinking* and *How to Think*. Dr. Minda is renowned for his teaching excellence, receiving the 2020 Dean’s Award for Teaching and the 2023 OUSA Teaching Excellence Award. He directs the Minda Lab, a cognitive psychology group affiliated with the Brain and Mind Institute. The lab studies how people learn categories and how these concepts shape behavior. Funded by NSERC, SSHRC, and Mitacs, the lab has produced over 100 publications. Recent work explores implicit learning, cultural differences in categorization, and mindfulness interventions. Key lab members include PhD students Anthony Cruz and Chelsea McKenzie, and postdoc Priya Kalra. Dr. Minda advises over 20 graduate and undergraduate students, mentoring through grants and collaborative projects. His teaching emphasizes accessibility and innovation, reflected in courses on cognitive psychology. He lives in London, Ontario, and balances academia with running and family life.

Catherine RégisView profile

Professor

• Artificial Intelligence Ethics
• Health Law
• Global Health Governance
• +4 more

Catherine Régis is a Full Professor at the Faculty of Law, Université de Montréal, holding dual Canada-CIFAR Chairs in AI and Human Rights, and in Health Law and Policy. She co-directs CIFAR’s AI Safety Research Program and leads IVADO’s Social Innovation and International Policy initiatives. Previously, she served as Special Advisor for Strategic Planning at UdeM (2021–2023) and directed health law programs at Université de Sherbrooke (2008–2012). Her education includes degrees from Université de Montréal (LL.B., 1998), University of Toronto (LL.D., 2007), and a Certificate in Clinical Ethics from Université de Genève (2001). Her research focuses on AI ethics, global health governance, and responsible innovation. She advises governments and international bodies like WHO, OECD, and UNIDIR, and co-authored the Montreal Declaration for Responsible AI. Key roles include steering committees for UNESCO’s AI and Rule of Law program, the Global Partnership on AI, and the U7+ Alliance’s digital innovation working group. Régis is affiliated with institutions including Jesus College Cambridge, Mila Quebec AI Institute, and H-pod. Awards include UNITAR’s Science Diplomacy Fellowship and extensive grants from CIHR, FRQ, and SSHRC. She frequently presents at venues like NeurIPS, WHO conferences, and the Supreme Court of Canada. Her legal practice includes Quebec Bar membership since 1999 and mediation accreditation.