Junho Park is an Assistant Professor at the University of Calgary, holding cross-appointment across three academic units: Schulich School of Engineering (Biomedical Engineering), Cumming School of Medicine (Community Health Sciences), and Faculty of Arts (Psychology). He also serves as Faculty Researcher at W21C Research and Innovation Centre, Member at O'Brien Institute for Public Health, and Child Health and Wellness Researcher at Alberta Children's Hospital Research Institute. PhD in Industrial and Systems Engineering (Texas A&M University) MSc in Industrial Engineering (Seoul National University) BSc in Computer and Industrial Engineering with Psychology minor (Yonsei University) His research focuses on Human-AI Interaction, Human Factors Engineering, and Ergonomics, with specific applications in biosignal processing for prosthetics, workload assessment in assistive technologies, and cognitive support systems for aging populations. Current projects include augmented reality biofeedback systems and autonomous vehicle interfaces for individuals with cognitive impairments. Recent publications demonstrate expertise in applying machine learning to biomedical engineering challenges and human factors assessments. The HERO Lab actively seeks postdoctoral researchers and graduate students in areas spanning human-AI interaction, ergonomics, and computational modeling. Scientific Awards Student Member with Honours, Human Factors and Ergonomics Society (2023) IEEE International Conference on Human-Machine Systems Travel Grant (2022) Institute for Applied Creativity Student Fellowship, TAMU (2022) Korean-American Scholarship Foundation (2021) HFES Best Student Paper Award (2021)
Dr. Ahmed Doha is an Associate Professor at the Sprott School of Business, Carleton University, specializing in Supply Chain Management. He holds a PhD in Operations Management and Information Systems from York University, Canada, and MSc/BSc degrees in Electrical and Computer Engineering from Queen’s University and Mansoura University, respectively. Education: PhD (York), MSc (Queen’s), BSc (Mansoura) Current sabbatical status Contact: 5036 Nicol Hall, Carleton University, Ottawa, ON K1S 5B6 His research focuses on applying emerging technologies like artificial intelligence (AI) and the Internet of Things (IoT) for business model innovation and value creation. Key areas include: Generative AI and Large Language Models (LLMs) in organizational and personal AI assistants E-commerce, recommendation systems, and crowdsourcing applications Semantic ontologies and knowledge bases integration Combating corruption through AI-enabled business models Research methodology follows full-cycle design science principles, from problem identification to field experimentation. Funded by SSHRC, NSERC, CANARIE, and industry partners. Scientific awards: NSERC Alexander Graham Bell Canada Graduate Scholarship Teaching: PhD-level AI research methods, applied AI, technology management, and supply chain fundamentals
Michèle Minor-Corriveau is an Associate Professor and Master's coordinator at Laurentian University's School of Speech-Language Pathology with over 25 years of clinical experience as a Speech-Language Pathologist. She specializes in evidence-based literacy instruction for French minority-language settings and co-founded the AlphaGraphe initiative, producing 60+ open-access resources grounded in reading science. Her educational background includes: Ph.D. in Humanities, Laurentian University M.Sc.S. in Speech-Language Pathology, Laurentian University B.A. in Linguistics, Laurentian University Her research pioneers French literacy frameworks addressing unique challenges in minority-language education. She develops diagnostic tools for spelling analysis, validates language screening instruments for bilingual children, and creates decodable text systems using computational analysis (SATO software). Her work directly bridges clinical practice and classroom application, emphasizing phonemic awareness-to-orthography connections through embedded mnemonic alphabets. Recent publications (2018-2022) reveal concentrated efforts in assessment validation—particularly for preschool language mastery and bilingual populations—and French spelling error diagnostics. Over 80% of her work targets practical resource development for educators in minority contexts, often involving cross-institutional collaborations. Key recognitions include: Faculty of Health Teaching Excellence Award (2018) CNFS Scholarship for doctoral research (2009) She actively mentors graduate students as Master's coordinator and has secured $550,000+ in research funding. Her grant work focuses on instrument validation and resource adaptation for Francophone education, directly responding to Ontario Human Rights Commission findings on reading disability accommodations. Through AlphaGraphe and her blog, she disseminates evidence-based literacy tools to educators nationwide, maintaining direct engagement with school boards to ensure practical applicability in French minority classrooms.
Professor Bouchaib Bahli serves as a full Professor and Associate Director in the Department of Information Technology Management at Toronto Metropolitan University. Holding an MSc, MBA, and PhD, he brings over 25 years of international academic and professional experience, including leadership roles as Dean, Associate Dean for Strategic Planning, and Associate Dean for Research and Accreditations. Since 1995, he has consulted extensively on digital transformation for public and private organizations globally. His research centers on strategic management of digital transformation, business services automation, business analytics, and risk management of emerging technologies. Professor Bahli champions research with tangible societal and business impact, bridging academic theory with practical application. His work spans information systems, project management, and supply chain innovation, employing rigorous empirical methods to address contemporary organizational challenges in technology adoption and risk mitigation. Professor Bahli maintains a robust publication record in premier journals including Information and Management and Journal of Information Technology, with recent work (2020-2022) focusing on project success metrics, supply chain resilience during disruptions, and digital transformation frameworks. His international collaborations, particularly with Brazilian and European researchers, demonstrate a global perspective on technology management challenges. As an educator, he teaches undergraduate courses including Strategy, Management and Acquisition of Information Systems (ITM 707) and the Capstone Project (ITM 900), along with graduate courses in Innovation and Technology Management (MB 8014). His experiential teaching approach leverages real-world consulting cases to develop students' practical skills in information systems development and strategic technology management. While specific student counts aren't documented, his Capstone course provides direct supervision opportunities for applied projects.
Sébastien Le Digabel is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He holds affiliations with GERAD (Groupe d'études et de recherche en analyse des décisions) and IVADO (Institut de valorisation des données), where he contributes to research in optimization and artificial intelligence. Professor Le Digabel's research focuses on black-box optimization and derivative-free methods, particularly the Mesh Adaptive Direct Search (MADS) algorithm. His work spans three main areas: development of optimization methods, application to engineering problems, and development of optimization software. He has made significant contributions to extending MADS for constrained optimization, mixed-variable problems, multiobjective optimization, and stochastic optimization. His recent publications (2023-2025) demonstrate continued innovation in handling complex optimization challenges including categorical variables, hierarchical constraints, and multi-fidelity approaches. These works appear in top journals like Computational Optimization and Applications, SIAM Journal on Optimization, and Optimization and Engineering. Professor Le Digabel actively supervises graduate students, having completed 8 PhD theses and 10 Master's theses with topics spanning multiobjective optimization, hyperparameter tuning, smart grid applications, and power systems optimization. His research is supported by diverse funding sources including NSERC, FRQNT, InnovÉÉ, IVADO, Hydro-Québec, Rio Tinto, and Huawei-Canada, reflecting the broad applicability of his work across academic and industrial domains. Professor Le Digabel leads the NOMAD Research Group and is the primary developer of the NOMAD optimization software, which implements the MADS algorithm and serves as a standard tool in the derivative-free optimization community. The software is available at www.gerad.ca/nomad and continues to evolve with new capabilities for challenging optimization problems.
Jean-Marc Robert is an Associate Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He is an active researcher affiliated with the Poly-Industries 4.0 Laboratory, focusing on human-centered design and future technologies. His work bridges academic rigor and industrial applications, with strong collaborations in aviation and ergonomics. Robert's research interests center on: Human-Computer Interaction : UX evaluation, task analysis, and interface design Prospective Ergonomics : Anticipating human interactions with emerging technologies Aviation Systems : Passenger comfort, cockpit interfaces, and flight safety Engineering Education : Creativity development and cognitive skill enhancement His publication trends show a focus on empirical validation of UX methodologies (2020s), aviation ergonomics (2014-2016), and educational innovation (2018). Recent articles emphasize quantitative scale development and systematic reviews of HCI practices. Robert has advised 52 graduate students (17 PhD, 35 Master's), with theses covering UX design, virtual reality, mobile interaction, and aviation human factors. Student projects frequently involve industry partnerships and prototype development. He contributes to the Poly-Industries 4.0 Laboratory, which explores Industry 4.0 applications through human factors research. The lab addresses challenges in manufacturing, automation, and human-machine collaboration.
Lévis Thériault serves as a Lecturer in the Department of Computer Engineering and Software Engineering within Polytechnique Montréal's Faculty of Engineering. He is also a member of the Institute for Data Valorization (IVADO), contributing to Montreal's AI research ecosystem. His academic credentials include a B.Eng., DESS from UQAC, M.Sc.A., and PhD coursework at Polytechnique Montréal. His research spans two dynamic domains: artificial intelligence applications in healthcare (notably the Marvin chatbot system for HIV treatment adherence) and innovative educational technologies for engineering education. Recent work focuses on conversational agents for patient self-management, digital learning environments, and active learning methodologies. His publication trend shows a strategic pivot toward health AI since 2020, with multiple presentations at International AIDS Conferences, while maintaining his educational technology research thread. Dr. Thériault actively supervises graduate students across multiple cohorts, with current advisees working on AI-driven clinical tools and educational software. His supervision record includes 14 professional Master's graduates between 2021-2024 and ongoing PhD and research Master's projects. Student theses demonstrate strong industry alignment, with implementations at organizations including Desjardins, Intact Assurance, and Criteo. Teaching responsibilities include core courses in operating systems, discrete structures, and software design, where he implements his research on active learning strategies. His 2020 publication on smartphone-based assessment for large engineering classes exemplifies his practical approach to educational innovation. The May 2022 press coverage of his AI solution for Alloprof's homework help platform highlights real-world impact of his educational technology research.
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.
Olivier St-Cyr is an Associate Professor, Teaching Stream and the Associate Dean, Teaching and Learning at the Faculty of Information (iSchool) at the University of Toronto, with a cross-appointment in the Department of Mechanical and Industrial Engineering. He has been instrumental in designing and deploying the user experience design concentration curriculum of the Master of Information (MI) degree since joining the Faculty of Information in 2016. Under his leadership, two novel learning spaces were designed and constructed at the Faculty of Information to facilitate active learning and technology-enhanced courses. Dr. St-Cyr's educational background includes: PhD in Industrial Engineering from the University of Toronto (2006) MASc in Systems Design Engineering from the University of Waterloo (2002) BA in Computer Science and Psychology from York University (2000) His research interests span multiple interconnected domains focused on improving how we teach and apply Human-Computer Interaction principles. At the core of his work is HCI/UX pedagogy and education , where he explores innovative teaching methods and curriculum development. He has co-founded EduCHI, an international community of practice for HCI/UX educators that has grown steadily over the past five years. His research also extends to UI/UX design for complex systems, particularly focusing on human factors for safety critical systems and cognitive work analysis . A significant portion of his recent work investigates active learning pedagogy and the design of technology-enhanced active learning classrooms , where he has designed and overseen the construction of specialized learning spaces at the Faculty of Information. An analysis of Dr. St-Cyr's publication trends reveals a strong focus on HCI education and pedagogy, with increasing emphasis on community building among HCI educators through initiatives like EduCHI. His earlier work focused more on ecological interface design and cognitive work analysis applied to complex systems, while his recent publications show a shift toward educational applications and curriculum development. The interdisciplinary nature of his work connects human factors engineering with educational theory, creating bridges between technical interface design and effective teaching practices. Dr. St-Cyr has received notable recognition for his teaching excellence: Outstanding Instructor Award, Faculty of Information, Master of Information Student Council (MISC), 2016-2017 University of Toronto Early Career Teaching Award, 2020-2021 In terms of academic leadership, Dr. St-Cyr serves in significant roles related to teaching and learning. He is the co-founder of EduCHI, which is part of the ACM conference on Human Factors in Computing Systems (CHI), and serves as a member of the ACM Education Advisory Committee representing SIGCHI. He has developed numerous courses across multiple departments including the Faculty of Information, Department of Mechanical and Industrial Engineering, and various computer science and engineering departments. His grant activity includes projects such as "Acquainting Canadian Seniors with State of the Art Dementia Prevention Strategies," funded by the Public Health Agency of Canada. Dr. St-Cyr has been instrumental in establishing learning environments that support his educational philosophy. Through his leadership, two specialized learning spaces were created at the Faculty of Information to facilitate active learning approaches and technology-enhanced instruction. These spaces enable faculty to incorporate studio sessions and hands-on learning experiences into their courses, reflecting his commitment to innovative educational approaches in the field of information studies and human-computer interaction.
Elise Cormier serves as an Associate Professor in the School of Accounting at Laval University's Faculty of Business Administration (FSA), where she maintains an active research and teaching profile. Her office is located in the Jean-Charles-Bonenfant Building (Room 5439), and she can be contacted directly via email or phone as listed in university directories. Professor Cormier's academic credentials are exclusively from Laval University: Doctorate in Accounting Sciences (Ph.D.) Master of Business Administration in Finance (MBA) Bachelor of Business Administration in Finance (BBA) Her research program critically examines intersections between accounting systems, financial markets, and household economic behaviors. Key contributions address how accounting information influences securities pricing and market valuations, while parallel work investigates personal finance dimensions including savings habits, retirement planning efficacy, policy-driven savings mechanisms, and household indebtedness triggers. This dual focus bridges corporate finance theory with real-world consumer financial decision-making. Analysis of her publication timeline reveals concentrated scholarly activity in the early 1990s, with notable contributions spanning capital markets research (Canadian IPO undervaluation), computational finance (expert systems for stock selection), and public policy evaluation (Quebec Stock Savings Plan). These works collectively demonstrate methodological versatility across empirical market analysis, systems design, and policy assessment within accounting and finance domains. No scientific awards or distinctions were documented in the available materials. Current advising load and grant funding details remain unspecified in the provided text, though her teaching responsibilities include financial statement analysis coursework. Professional engagement continues through maintained LinkedIn and ResearchGate profiles. There is no indication of laboratory leadership or dedicated research team affiliations in her current academic profile.
Yuntong She is a Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering, holding this position since 2024 after progressing from Assistant Professor (2012-2019) to Associate Professor (2019-2024). His research focuses on computational hydraulics with specialization in cold regions engineering and infrastructure resilience. His educational background includes: Ph.D. in Civil & Environmental Engineering, University of Alberta (2004-2008) M.Sc. in Hydraulic Engineering, Tsinghua University (2000-2003) B.Sc. in Hydraulic Engineering, Tsinghua University (1996-2000) Dr. She's research centers on river ice engineering, freeze-up/breakup processes, and ice jam flood forecasting, with additional expertise in sediment transport, urban drainage systems, and oil pipeline integrity. His work combines advanced computational modeling with field data analysis to address hydraulic challenges in cold climates, particularly focusing on infrastructure protection and climate change adaptation. Recent projects demonstrate strong integration of machine learning techniques for ice quantification and transient analysis for pipeline monitoring. Analysis of his 15 most recent publications (2019-2023) reveals three dominant research thrusts: (1) river ice dynamics and flood forecasting (40% of publications), particularly ice jam formation and breakup initiation; (2) pipeline safety and leak detection using transient analysis methods (25%); and (3) renewable energy system performance in cold climates, especially snow impacts on solar panels (15%). His work consistently bridges theoretical modeling with practical engineering applications in Canadian river systems. His scientific recognition includes: Editor's Choice award from Science of the Total Environment (2020) CGU-HS CRIPE Gerard Medal for river ice research (2009) Dr. She actively supervises graduate students, as evidenced by multiple publications with student first authors across river ice, pipeline, and renewable energy topics. His teaching portfolio includes core courses CIV E 431 Water Resources Engineering, CIV E 395 Civil Engineering Analysis III, and specialized CIV E 636 River Ice Engineering. Research collaborations span multiple Canadian institutions with field studies concentrated in the Mackenzie Delta and North Saskatchewan River systems. His laboratory work involves computational modeling of ice processes and pipeline systems, utilizing both proprietary simulation tools and public-domain models like River1D. Current projects focus on climate change impacts on river ice regimes and machine learning applications for real-time infrastructure monitoring in cold regions.
