Michel C. Desmarais is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he has been faculty since 2002. With a PhD in Psychology from Université de Montréal, his research bridges artificial intelligence, educational technology, and human-computer interaction. He holds affiliations with IVADO and LAMA-WeST research groups, and has held visiting positions at Sorbonne University, Eindhoven Technical University, and other European institutions. His research focuses on three interconnected pillars: 1) Cognitive modeling and educational data mining , developing algorithms for student knowledge assessment and adaptive learning systems; 2) AI-driven educational tools , including automated grading systems and peer instruction platforms; and 3) Recommendation systems and user modeling , particularly for personalized learning interfaces. His work consistently applies machine learning to solve practical challenges in technology-enhanced education. Analysis of his 150+ publications reveals strong trends in educational NLP (sentence similarity for short-answer grading), generative AI (LLM-generated code validation), and Bayesian modeling (Q-matrix refinement). Recent work increasingly focuses on transformer architectures and real-world educational datasets. He maintains an active supervision record, having graduated 35+ graduate students. Current PhD candidates work on NLP for educational applications (Bakhtiari, Kamdem) and AI for engineering (Wang). His teaching covers user interface design, recommender systems, and intelligent interfaces. Professional service includes editorial leadership (JEDM journal), conference co-chairing (UMAP 2017, EDM founding), and grant review panels for NSERC, MITACS, and EU programs. Industry experience includes prior roles as R&D Director at MVM Inc. and researcher at Montreal Computer Research Center.
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Lars Hallstrom serves as Professor and Director of the Prentice Institute for Global Population and Economy at the University of Lethbridge, a position he assumed in January 2021. The Prentice Institute, established in 2009 through an $8.25 million endowment from entrepreneur John Prentice, operates as a cross-faculty research hub examining demographic, economic, and social consequences of global population shifts. His academic foundation includes a BA in Political Science from the University of Calgary (1995) and MA/PhD in Political Science from Purdue University. Prior appointments include Professor and Canada Research Chair in Public Policy and Governance at St. Francis Xavier University, followed by directorship of the Alberta Centre for Sustainable Rural Communities at the University of Alberta (2009-2020). Hallstrom's research spans Public Policy, Environmental Governance, and Rural Development with distinctive focus on Canadian contexts. His work critically examines multi-level governance structures, citizen engagement in sustainability planning, and intersections between resource development, public health, and rural community resilience. Recent publications demonstrate consistent emphasis on Alberta case studies while addressing universal challenges in demographic transitions and policy implementation. As Prentice Institute Director, Hallstrom leads interdisciplinary initiatives connecting scholars across faculties to generate evidence-based solutions for population-related economic and social challenges, positioning the institute as Alberta's nexus for demographic futures research.
Émilie Giguèreمشاهده پروفایل
دانشیار
Émilie Giguère serves as Associate Professor at Laval University's Faculty of Education, School of Counselling and Guidance, where her research examines women's career development, digital transformation impacts on work, and professional integration challenges. Her work bridges academic theory with practical workplace interventions through the Research and Intervention Centre on Education and Working Life (CRIEVAT). Her educational foundation includes: Master's degree in Career Guidance from Laval University (2014) Doctorate in Guidance Sciences from Laval University (2020) Professor Giguère investigates how women navigate managerial roles amid technological disruption, focusing on career progression barriers, work-life integration, and the psychological impacts of digital transformation. Her qualitative research reveals how organizational structures create invisible work burdens and how hyper-efficiency expectations affect female executives. She examines digital transformation through employee perspectives, identifying how automation reshapes support staff roles while creating new career dilemmas. Her scholarly contributions have earned recognition including the Emerald Literati Award of Excellence (2019). Current research initiatives explore: Professional integration of young managers across life domains Workplace accident return-to-work policies Women's adaptation to digital transformation in insurance sectors As principal investigator on SSHRC-funded projects and co-researcher on multiple interdisciplinary grants, she connects academic research with workplace interventions. Her teaching spans undergraduate courses on human labor psychology to graduate internships in humanistic-existential counseling, emphasizing practical applications of career development theories. Through CRIEVAT, she contributes to program development and social justice initiatives in education, maintaining an active research profile that bridges gender studies, organizational psychology, and career counseling.
Linmei Huangمشاهده پروفایل
استادیار
Linmei Huang serves as Assistant Professor in the Department of Organizational Information Systems at Université Laval's Faculty of Business Administration, where she bridges business strategy, information systems, and financial technology through research and teaching. Her academic credentials include: Ph.D. in Information Systems and Finance (Baruch College) M.Sc. in Applied Economics (Berlin School of Economics and Laws) MBA and Bachelor's in Finance (University of Economics and Finance of the Southwest) Dr. Huang's research program investigates critical digital economy phenomena: the funding dynamics when startups accept investments from tech giants, corporate social responsibility communication consistency across social media platforms, and the emerging field of 'memeonomics' where viral content shapes financial markets. Her cybersecurity work explores blockchain applications in contractual systems, reflecting interdisciplinary engagement with technology's business impacts. Recent publications demonstrate strong conference presence at premier venues including ICIS, INFORMS, and AMCIS, with 2023 work revealing a clear trajectory toward understanding how social media virality and platform economics intersect with traditional financial systems. This positions her research at the vital nexus of information systems, behavioral finance, and digital innovation. Teaching responsibilities encompass Machine Learning/AI applications, Data Analysis techniques, Management Information Systems frameworks, and Financial Technology implementations—providing students with practical skills for technology-driven business environments. Her course development reflects direct integration of current research into pedagogical practice.
Lavy Khoushinskyمشاهده پروفایل
استادیار
Lavy Khoushinsky serves as Assistant Professor in the Marketing Department at Laval University's Faculty of Administrative Sciences, where he maintains an active research program bridging analytical marketing, artificial intelligence, and consumer behavior. His work addresses critical contemporary challenges including ideological polarization in markets, healthcare access barriers, and ethical AI implementation. His educational foundation includes a Ph.D. from Smith School of Business, Master's in Sustainable Energy Policy from Carleton University, and Bachelor's in Communication from Concordia University. This interdisciplinary background informs his research approach that integrates technical marketing analytics with social impact considerations. Professor Khoushinsky's research program demonstrates remarkable thematic evolution from sustainable transportation (2019) through banking experience innovation (2020-2021) to his current focus on AI-consumer interactions in contested spaces. His 14 publications (2019-2025) reveal three dominant trajectories: AI-Mediated Consumer Interactions (50% of recent work): Examining chatbots, healthcare navigation systems, and accountability frameworks Ideological Market Dynamics (30%): Analyzing niche marketing in polarized environments and consumer discourse patterns Technology Adoption Barriers (20%): Studying privacy paradoxes, e-waste responsibility, and mixed-reality banking experiences His methodological approach combines computational linguistics with experimental design to address complex marketing phenomena. Through his teaching portfolio spanning Marketing Principles to AI applications, Professor Khoushinsky prepares students for evolving marketing landscapes. His course development emphasizes practical analytical skills while addressing contemporary ethical challenges in digital marketing. The collaborative nature of his publication record (80% co-authored) indicates strong team-based research practices and interdisciplinary connections across institutions.
Sina Radمشاهده پروفایل
استادیار
Sina Rad serves as Assistant Professor in the Master of Management program at the University of Niagara Falls Canada, specializing in the intersection of emerging technologies and business management. His research bridges computational methods with organizational leadership, focusing on practical applications that transform business processes and public administration. His academic credentials include: PhD in Management, Gordon S. Lang School of Business and Economics, University of Guelph MSc in Computer Science BEng in Software Engineering Dr. Rad's research portfolio demonstrates exceptional interdisciplinary range , spanning machine learning applications in healthcare diagnostics (2013), digital accountability systems in public administration (2016-2022), and blockchain solutions for business contracts (2025). His work consistently examines how technological innovations reshape organizational behavior, human resource practices, and management frameworks through rigorous analytical methods. Publication trends reveal growing focus on business-technology integration , with recent work emphasizing blockchain's transformative potential in contractual systems and machine learning's role in business analytics. His research spans administrative sciences, information systems, and computational social science, reflecting the increasingly digital nature of modern management challenges. As an educator, Dr. Rad teaches graduate courses including Technology Trends and Applications, Data Analytics for Management, and Capstone Project development. His industry-relevant curriculum prepares students for technology-driven business environments through practical implementation frameworks and analytical case studies. Students benefit from his dual expertise in software engineering and management theory when exploring emerging technology applications.
Ahlam Maremiمشاهده پروفایل
استادیار
Ahlam Maremi is an Assistant Professor of Mining Engineering at Laurentian University's School of Engineering and Computer Sciences in Sudbury, Ontario, Canada. She holds a PhD in Mining Engineering from Laurentian University, complemented by Bachelor's and Master's degrees in Mining Engineering from the University of Tripoli, Libya. Her professional background includes extensive research and industrial experience in both Libyan and Canadian mining sectors. Dr. Maremi's research program focuses on: Advanced mine design and feasibility analysis Long-term and short-term operational optimization Integrated planning for resource extraction Waste stream management solutions Uncertainty modeling in mining operations Mechanization and automation of mining systems Simulation of complex mining processes Her work bridges theoretical optimization with practical industry applications, particularly in addressing challenges related to mine planning efficiency and environmental management.