Matthias Pepin is a Full Associate Professor and Chair in Leadership in Teaching on Entrepreneurial Mindset Development at Université Laval's Faculty of Business Administration. His affiliations include a postdoctoral fellowship at the University of Quebec at Trois-Rivières and ongoing leadership roles in entrepreneurial education reform. His research spans: Entrepreneurial pedagogy and mindset development Responsible entrepreneurship and ethical decision-making K-12 entrepreneurial education ecosystems Design of educational tools for sustainable business modeling Recent publications (2017–2025) focus on: Socio-ecological transformation of business models Ethical frameworks for entrepreneurship education Experimental studies on educational interventions Integration of entrepreneurial learning in primary education He actively contributes to curriculum development and academic leadership, with no awards documented in available materials.
Simon Larose is a Full Professor in the Department of Teaching and Learning Studies at the Faculty of Education, Université Laval. He serves as Director of GRIP Education (Research Group on Psychosocial Maladjustment in Children) and is a researcher with the Research Group on Motivation and Academic Success. Professor Larose was appointed to the FRQSC Board of Directors and maintains strong connections with the Quebec Ministry of Education and various school service centers across Quebec. Professor Larose's research focuses on school transitions and school and community mentoring . His work examines how mentoring relationships, social support systems, and inclusive teaching practices affect student adjustment during critical educational transitions, particularly from secondary to college. He has conducted extensive research on students with disabilities, academic perseverance, and dropout prevention in STEM fields. His recent work includes the development of the FORTUNE program to address learning gaps in elementary school students following the pandemic and a documentary on inclusive teaching practices for students with disabilities. With over 100 publications to his credit, Professor Larose has established himself as a leading researcher in educational transitions and mentoring. His work is characterized by strong methodological rigor, particularly in quantitative approaches, and a commitment to translating research findings into practical applications for educators. His projects often involve large-scale collaborations with school boards, government agencies, and community organizations, ensuring that his research has direct relevance to educational practice. Major research grants and recognition: Social Sciences and Humanities Research Council of Canada (SSHRC) funding for multiple projects Fonds de recherche du Québec - Société et culture (FRQSC) grants Canadian Institutes of Health Research (CIHR) funding Mitacs funding for mentoring research Ministry of Education funding for school-based interventions As an educator, Professor Larose teaches courses on adolescent development, quantitative research methodology, and college teaching. He has supervised numerous graduate students throughout his career, with a focus on developing researchers who can bridge the gap between educational theory and practice. His current research continues to address pressing issues in Quebec's educational system, particularly in the areas of inclusive education and academic perseverance.
Hany Osman is an Associate Professor in the Master of Data Analytics program at the University of Niagara Falls Canada, holding a PhD in Industrial Engineering from Concordia University and a Professional Engineer (PEng) license in Ontario. His academic-industrial career bridges theoretical research with practical applications across multiple sectors. Dr. Osman's research spans three interconnected domains: Machine Learning & Data Analytics : Specializing in logical analysis of data, cost-sensitive learning, and ensemble techniques for industrial applications Operations Research : Developing nature-inspired metaheuristics (cuckoo search, ant colony optimization) for NP-hard problems in manufacturing and logistics Supply Chain Management : Focusing on sustainable optimization of lot sizing, production planning, and inventory control under stochastic conditions His recent publications (2023-2024) reveal a strategic pivot toward AI-integrated manufacturing systems, notably the CAPP-GPT framework for generative AI in process planning and emission-aware lot sizing models. This work demonstrates consistent translation of theoretical advances into industrial solutions for rail, oil, and smart manufacturing sectors. Professional credentials include: IBM Mastery Certificate in Predictive Data Analytics Professional Engineer (PEng) license from Ontario Dr. Osman leverages extensive industrial experience in supply chain logistics, oil industry optimization, and education technology to inform both research and teaching. His supervision in the Master of Data Analytics program emphasizes hands-on application of machine learning to real-world operational challenges, with students contributing to publications in Manufacturing Letters and related journals. While no formal lab is specified, his research group operates at the intersection of data science and industrial engineering, maintaining strong industry partnerships that drive applied projects.
Victor Ezeugwu is an Assistant Professor in the Department of Physical Therapy at the University of Alberta's Faculty of Rehabilitation Medicine. He is a Physical Therapist and research affiliate with the Glenrose Rehabilitation Hospital. Dr. Ezeugwu is also a member of multiple research institutes including the Neuroscience and Mental Health Institute (NMHI), the Institute for SMart Augmentative and Restorative Technologies and Health Innovations (iSMART), the Women and Children's Health Research Institute (WCHRI), and the Sedentary Behaviour Research Network (SBRN). His educational background includes: Postdoctoral Fellowship - Canadian Healthy Infant Longitudinal Development (CHILD) Cohort Study, University of Alberta PhD - Rehabilitation Science, University of Alberta MSc - Physical Therapy, Obafemi Awolowo University, Nigeria BMR - Physical Therapy, University of Nigeria Dr. Ezeugwu's research primarily focuses on precision rehabilitation, utilizing wearable technologies, behaviour change techniques, and ecological approaches to study movement behaviours across the lifespan. His work involves personalizing rehabilitation interventions for individuals living with stroke, Parkinson's disease, frailty, and Long COVID. He has developed expertise in accelerometer-based movement behavior assessment and has contributed significantly to understanding how sedentary behavior impacts health outcomes in various populations, with particular emphasis on compositional approaches that consider physical activity, sedentary behavior, and sleep together rather than in isolation. Analysis of Dr. Ezeugwu's publication record reveals a strong progression from foundational work on movement behavior patterns to targeted clinical interventions. His recent high-impact publications in journals like The Lancet Neurology demonstrate his growing influence in stroke rehabilitation research. A distinctive theme throughout his work is the application of ecological momentary assessment approaches to understand real-world movement behaviors and develop practical, evidence-based interventions that can be implemented in clinical settings. His research increasingly focuses on precision rehabilitation approaches that integrate multiple movement behaviors rather than addressing them separately. Dr. Ezeugwu teaches PTHER 546 - Adult Neurology, covering theory and application of physical therapy for adults with neurological conditions. The course includes assessment, intervention, outcome evaluation, therapeutic exercise, electrophysical agents, and evidence-based skills. While specific scientific awards are not explicitly mentioned in the available information, his research has been published in high-impact journals including The Lancet Neurology, PLoS One, and Journal of Physical Activity and Health. As a research affiliate with the Glenrose Rehabilitation Hospital, Dr. Ezeugwu maintains strong clinical connections that inform his research agenda. His work with the CHILD Cohort Study demonstrates his commitment to longitudinal research that tracks movement behaviors from early childhood through development. His current research program addresses critical gaps in rehabilitation science, particularly in developing evidence-based approaches to reduce sedentary behavior and promote optimal movement patterns across various patient populations and conditions.
