Find Academic Supervisors

Xuekui ZhangView profile

Associate Professor

• Bioinformatics
• Biostatistics
• Machine Learning
• +4 more

Dr. Xuekui Zhang is an Associate Professor at the University of Victoria (UVic) and holds a Tier 2 Canada Research Chair in Biostatistics and Bioinformatics. He is also a Michael Smith Health Research BC Scholar. His primary affiliation is with the Department of Mathematics and Statistics, Faculty of Science at UVic, with adjunct roles at University of Manitoba and UBC's Centre for Heart Lung Innovation. He specializes in developing statistical methods and software tools for analyzing genomic data, clinical trials, and environmental datasets. **Education**: PhD in Statistics (UBC, 2011), postdoctoral training at Johns Hopkins University (2011–2013), and visiting scholarships at institutions like Fred Hutchinson Cancer Research Center.** **Research**: Focuses on bioinformatics, biostatistics, and machine learning applications in COPD, environmental monitoring, and precision medicine. Notable projects include the OPMS ocean pollution monitoring system and ADSP adaptive diagnostic testing strategy. His work integrates multi-omics data (scRNA-seq, scATAC-seq) and clinical trial design innovations. **Awards**: Recipient of the Canadian Journal of Statistics (CJS) Award (2022) for collaborative work on logistic regression modeling.** **Grants**: Leads or co-leads major projects funded by Genome Canada ($6.3M), NRC ($1.5M), and CIHR ($0.8M). Current initiatives include COPD biomarker discovery and clinical decision tools for shoulder replacements. **Students**: Supervises a dynamic team of 12+ PhD/MSc students and undergraduates, focusing on machine learning, environmental statistics, and genomic data analysis. Notable trainees include Yushan Hu (COPD research) and Haochen Ning (plant virology diagnostics). **Labs/Teams**: Coordinates a multidisciplinary group with expertise in statistical computing, collaborating with researchers in medicine, environmental science, and computer science.

Wendy JamesView profile

Senior Lecturer

• Curriculum Design
• Program Design and Evaluation
• Professional Learning
• +7 more

Dr. Wendy James is the Director of the Gwenna Moss Centre for Teaching and Learning at the University of Saskatchewan, College of Education. With over 20 years of experience in K-12 education and a Ph.D. focused on the assessment of professional learning, she bridges academic research with practical teaching strategies. B.A. in unspecified field B.Ed. in Education M.Ed. in Educational Technology and Design Ph.D. in assessment of professional learning Her research interests span curriculum and program design, professional learning evaluation, instructional technology integration, and innovative assessment practices. She leads initiatives at the Gwenna Moss Centre to enhance teaching and learning through structured self-assessment and technology implementation. Her work has informed international learning labs and domestic educational policy. Key trends in her publications include transdisciplinary sustainability education, digital literacy in K-12 settings, and data-driven professional development frameworks. She has also explored mentoring practices and technology adoption challenges in educational environments. At the University of Saskatchewan, Wendy directs the Gwenna Moss Centre, which supports pedagogical innovation, and has contributed to global research projects like TRANSECTS’ international learning labs. Her leadership role bridges academic research with real-world application in teaching and learning.

Adel GuitouniView profile

Associate Professor

• Multi-criteria decision aid
• Supply chain management
• Risk management
• +6 more

Dr. Adel Guitouni is an Associate Professor at the Gustavson School of Business, University of Victoria, with expertise in multi-criteria decision aid, supply chain management, and risk management. He holds a PhD in Operations & Decision Support from Laval University. His work bridges academic research with practical applications, including roles with the Canadian government supporting major events like the Vancouver 2010 Olympics and G8/G20 summits. He has led scientific teams in defense and security projects, and established a non-governmental organization in Tunisia to foster entrepreneurship. Education: BSc (Electrical Engineering, University of Quebec, Trois-Rivières), MSc (Electrical Engineering, Laval University), PhD (Operations & Decision Support, Laval University). Research focuses on MCDA (Multi-Criteria Decision Aid), supply chain design, resource optimization, and applications in defense/safety. His work emphasizes automation in planning, net-enabled resource management, machine learning, and collaborative decision systems. Over 50 refereed publications and multi-million dollar grants, including projects on maritime surveillance, cloud computing, and crisis management. Award-Winning: Multiple achievement awards from Department of National Defense (2009-2011) and Gold Award from Defense R&D Canada (2009) Grants: MITACS, NSERC, Defense R&D Canada, PRECARN (CanCoast Watch) Teaching includes global supply chain management, decision sciences, and MBA/PhD courses. Advised numerous graduate students and post-doctoral fellows. Engaged in MENA region development through leadership capacity-building initiatives.

Denilson BarbosaView profile

Professor

• Natural Language Processing
• Information Retrieval
• Machine Learning
• +3 more

Denilson Barbosa is a Professor of Computing Science at the University of Alberta's Faculty of Science. He holds a PhD and specializes in Natural Language Processing, Information Retrieval, and Machine Learning. His research focuses on knowledge extraction, entity recognition, and knowledge graph construction. Barbosa teaches courses like CMPUT361 (Information Retrieval) and CMPUT656 (Knowledge Graphs). He served as President of the Canadian Artificial Intelligence Association (CAIAC) from 2023 to 2024. His work includes developing tools like the NLP Workbench and contributing to open relation extraction, Wikipedia analysis, and low-resource language models. Education and Background: Barbosa's academic background aligns with his research interests in computational linguistics and AI applications. His teaching emphasizes practical skills in algorithms, data structures, and machine learning for text processing. Research Highlights: Barbosa's research spans semantic graphs, probabilistic language models, and defect prediction systems. He explores challenges in multilingual NLP, particularly for Indigenous and low-resource languages like Cree. His work often integrates machine learning with traditional IR methods to improve system efficiency and accuracy. Recent Contributions: Notable recent projects include improving Bengali/Hindi LLMs, evaluating QA systems via textual entailment, and developing Bayesian methods for crowdsourced truth discovery. His articles reflect his interdisciplinary approach, combining theory with real-world applications in education, software engineering, and social media analysis.

Chris McGloryView profile

Assistant Professor

• Exercise Metabolism
• Skeletal Muscle Adaptation
• Protein Turnover
• +2 more

Chris McGlory is an Assistant Professor specializing in Exercise Metabolism at Queen's University. He holds a PhD from the University of Stirling, MPhil from Liverpool John Moores University, and BSc from Liverpool John Moores University. His research program examines cellular and molecular mechanisms of skeletal muscle adaptation to nutrition, exercise training, and immobilization. He specializes in stable isotopic tracers for tracking muscle protein turnover combined with molecular biology techniques for measuring enzyme activity, protein expression, and post-translational modifications. McGlory's publications focus on muscle protein metabolism, disuse atrophy prevention, and nutritional interventions. Recent work investigates omega-3 fatty acid supplementation effects on muscle preservation during immobilization and resistance exercise signaling pathways. He teaches undergraduate courses including HLTH 331 (Advanced Human Nutrition) and KNPE 449 (Advanced Protein Metabolism). For graduate opportunities, he encourages prospective students to apply for TriCouncil CGSM Master's Awards through NSERC and Ontario Graduate Scholarships.

Reina GreenView profile

Professor

• Early Modern Literature
• Shakespeare Studies
• Drama and Performance
• +3 more

Dr. Reina Green is a Professor in the Department of English at Mount Saint Vincent University. She holds a BA (Hons) from Mount Saint Vincent University and an MA and PhD from Dalhousie University. Her research focuses on early modern literature and drama, Shakespearean adaptations, gender studies, memorialization, and contemporary Canadian drama. She has authored/co-authored significant works such as Speaking Up: New Voices on War and Peace in Nova Scotia (2023) and contributed to interdisciplinary volumes like With(out) Trace (2016). Her work bridges literary analysis with performative and spatial studies, addressing intersections of gender, space, and historical memory. Research Interests Shakespearean plays and their modern reinterpretations Gender dynamics in early modern and contemporary drama Memorialization practices and public space Domestic space in Canadian theatre War and artistic expression Recent Contributions Her articles explore topics such as queer interpretations of Twelfth Night , Indigenous performance in Burning Vision , and experiential learning in higher education. She frequently presents at conferences like the Shakespeare Association of America and Canadian Association of Theatre Research, addressing themes ranging from festival aesthetics to settler-Indigenous relationships through performance. Grants & Collaborations Co-edited volumes emphasizing regional and interdisciplinary scholarship Collaborations with scholars like Diane Piccitto on pedagogical innovation Labs/Teams No dedicated lab mentioned, but actively engages in academic networks and editorial projects.

• Educational Technology
• Blended Learning
• Flipped Classrooms
• +7 more

Dr. Robin Kay is a Full Professor in the Faculty of Education at Ontario Tech University in Oshawa, Canada. He holds a Ph.D. in Cognitive Science (Educational Psychology) and an MA in Computer Applications in Education from the University of Toronto. His research focuses on pedagogy, technology integration in education, and innovative teaching methods such as flipped classrooms, blended learning, and mobile learning environments. Current projects include AI in education, e-learning tools, and the use of video podcasts in instruction. Education: Ph.D. in Cognitive Science (Educational Psychology), University of Toronto MA in Computer Applications in Education, University of Toronto Research Interests: Technology-enhanced learning environments (online/blended/flip/mobile) Scale development for educational research Emotional impacts of technology on learners AI applications in K-12 and higher education Video podcast design and effectiveness Teaching: Courses include Advanced Research Methods, Technology and the Curriculum, and Web-Based Learning Tools at the Master's level, plus foundational education courses at the undergraduate level. He has over 30 years of teaching experience across multiple education levels. Publications: Over 200 articles/chapters/presentations focusing on pedagogical innovation, technology integration, and learning environment design. Recent work explores post-pandemic education models and hybrid learning systems.

• Equity in STEAM Education
• Inclusive Pedagogies
• Mathematics Education
• +5 more

Dr. Robyn Ruttenberg-Rozen is an Assistant Professor in the Faculty of Education at Ontario Tech University, specializing in inclusive pedagogies within K-16 STEAM education. Her research focuses on equity, innovation, and disrupting deficit perceptions of ability, particularly for underserved, linguistically diverse, and exceptional learners. She has received the 2020 Ontario Tech Early Career Teaching Award and serves as co-newsletter editor for the Canadian Mathematics Education Study Group (CMESG) and editorial board member for the Journal of Educational Informatics . Her teaching spans undergraduate and graduate programs, including courses on mathematics education, STEM integration, and reflective practice. Research Interests: Equity in STEAM education for marginalized populations Interventions for learners with mathematics difficulties Implicit bias awareness in educational spaces Intersectionality in STEM identity formation Online learning equity strategies Teaching Responsibilities: Bachelor of Education: Mathematics Thinking and Doing (Primary/Junior), STEM I & II Master of Education: Principles of Learning, Curriculum Foundations Undergraduate: Reflective Practice/Action Research Awards: Ontario Tech Early Career Teaching Award (2020) Lab/Team: Visit her lab website for collaborative research projects and student involvement opportunities.

Jaho SeoView profile

Associate Professor

• Mechatronics
• Autonomous Mobile Machines
• Intelligent Construction Equipment
• +5 more

Dr. Jaho Seo is an Associate Professor in the Department of Automotive and Mechatronics Engineering at Ontario Tech University, part of the Faculty of Engineering and Applied Science. He holds a PhD in Mechanical Engineering from the University of Waterloo and has extensive experience in academia and industry. His research focuses on mechatronics, autonomous systems, intelligent construction/agriculture machinery, and control systems. Education: PhD (Mechanical Engineering), University of Waterloo, 2011 M.Ing (MSc in Mechanical Engineering), École de Technologie Supérieure (Montreal), 2006 BSc (Agricultural Machinery & Process Engineering), Seoul National University, 1999 Research Interests: Dr. Seo specializes in mechatronics, autonomous mobile machines, and intelligent systems. His work emphasizes safety-control mechanisms, electro-hydraulic systems, and hardware-in-the-loop simulation. He has developed algorithms for autonomous excavation, vehicle dynamics, and sensor integration. Professional Activities: Board Member, IT Convergence Technology Division of the Korean Society of Mechanical Engineers (2016–2017) Local Arrangement Co-Chair, 30th Institute of Control, Robotics and Systems Annual Conference (2015) Government R&D evaluator for Korean ministries (2014–2017) Awards: Multiple Best Conference Paper Awards (2014–2016) KIMM Technical Support Award (2015) University of Waterloo Graduate Scholarship (2009–2011) Grants & Labs: He leads the AVeC Lab (Automated Vehicle and Construction Lab). His grants focus on autonomous systems, safety-control, and energy-efficient machinery. He has secured funding for projects related to excavator automation and agricultural machinery. Future Work: Dr. Seo is advancing autonomous construction equipment, real-time safety systems, and sustainable agricultural technologies. His lab collaborates with industry partners to commercialize innovations in electro-hydraulic systems and machine learning.

Christine Kampen RobinsonView profile

Academic

• Experiential Learning
• Career Development
• Language Acquisition
• +2 more

Christine Kampen Robinson is Teaching Assistant Professor and Chair of Experiential Learning at Canadian Mennonite University. She directs the Centre for Career and Vocation and practicum programs, with research focusing on work-integrated learning, vocational development, and narrative approaches to education. Research areas: Work-integrated learning pedagogy Vocational identity development Language acquisition in migrant communities Narrative inquiry methods Publications examine language learning in immigrant contexts and technology-mediated language education. She has developed innovative curriculum connecting academic learning with practical application through CMU's required practicum program.

Wendy KroekerView profile

Associate Professor

• Conflict Transformation
• Peacebuilding
• Nonviolence
• +3 more

Wendy Kroeker is an Associate Professor and Chair of Peace and Conflict Transformation Studies at Canadian Mennonite University and Co-Director of the Canadian School of Peacebuilding. She holds a Ph.D. from the University of Manitoba (2018), an M.A. in Theology from Mennonite Brethren Biblical Seminary (1986), and a B.A. from the University of Waterloo (1982). With 25+ years in conflict transformation, she trains communities in the Philippines, Indonesia, Myanmar, and Palestine. Her research examines local peacebuilding in contexts of violent extremism, colonialism, and post-conflict reconciliation. Kroeker emphasizes multi-dimensional approaches, diaconal peacemaking, and indigenous agency. She teaches courses like Models of Peace, Nonviolence, and Cultures of Violence/Peace. Publications explore emancipatory peacebuilding, NGO partnerships, and trauma healing, often centered on Southeast Asia. Her 2020 book, 'Multi-Dimensional Peacebuilding,' analyzes Philippine case studies. Recent work connects theology with reconciliation in Canadian Indigenous contexts.

Tim RogalskyView profile

Associate Professor

• Mathematical Modeling
• Chaos Theory
• Mathematics Education
• +2 more

Dr. Tim Rogalsky is an Associate Professor of Mathematics at Canadian Mennonite University. He holds a PhD from University of Manitoba and teaches courses spanning discrete mathematics, calculus, and chaos theory. His pedagogy focuses on making mathematics accessible and demonstrating interdisciplinary connections to science, economics, and social justice. Research Interests: Dr. Rogalsky develops mathematical models for epidemiological control, investigates connections between mathematics and art, and creates pedagogical approaches for diverse learners. Notable projects include: Optimal control methods for disease management Mathematical mysticism in Salvador Dali's work Aerodynamic optimization using Bézier parameterization Community Engagement: Regularly presents mathematical concepts to public audiences through Winnipeg Art Gallery lectures exploring beauty in nature, sacred geometry, and Renaissance mathematical influences. Teaching Philosophy: Emphasizes interactive learning that connects mathematics to real-world contexts, serving students from math-phobic general learners to mathematics majors.

Mostafa NaghizadehView profile

Researcher

• Seismic Data Processing
• Inverse Problems
• Mineral Exploration
• +3 more

Mostafa Naghizadeh is a Researcher affiliated with the Metal Earth project at Laurentian University's Harquail School of Sustainable Mining. His expertise lies in seismic data processing, inverse problems, and mineral exploration geophysics. He holds a B.Sc. in Mining Engineering from Shahid Bahonar University of Kerman (Iran), an M.Sc. in Geophysics from the University of Tehran, and a Ph.D. in Geophysics from the University of Alberta. Dr. Naghizadeh's research focuses on advancing seismic imaging techniques, environmental sustainability in seismic surveys, and crustal architecture studies. His work integrates geophysical methods with machine learning to enhance mineral exploration efficiency. He has contributed to projects like the Metal Earth initiative, which maps mineral endowments in Canada's Archean terranes. Education: B.Sc. Mining Engineering, Shahid Bahonar University of Kerman M.Sc. Geophysics, University of Tehran Ph.D. Geophysics, University of Alberta His research interests emphasize seismic data optimization, inverse problem solutions, and environmental adaptations for geophysical surveys. Recent work includes developing EcoSeis—low-footprint acquisition methods—and analyzing fault systems in gold-endowed regions. He has received numerous awards, including the SEG Karcher Award (2011), CSPG Baillie Award (2009), and multiple scholarships for academic excellence. Professionally, he is a certified Geoscientist (APEGA) and holds editorial roles at SEG's Geophysics and CSPG's Recorder journals. Key contributions include advancing seismic design for sustainability, crustal-scale imaging, and mineral prospectivity mapping in the Abitibi and Wabigoon belts. His interdisciplinary approach bridges geophysics with environmental and computational sciences.

Spencer SmithView profile

Associate Professor

• Software Engineering
• Scientific Computing
• Requirements Analysis
• +5 more

Dr. Spencer Smith is an Associate Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. He serves as the Undergraduate Advisor for Software Engineering and teaches courses such as Scientific Computing, Software Design, and Capstone Projects. Education: Ph.D. in Engineering (2001), McMaster University M.Eng. (1997), McMaster University B.Eng. in Computer Systems (1995), McMaster University Research Interests: Software Engineering Principles for Scientific Computing Assurance Cases for Research Software Numerical Algorithms in Engineering Problems Finite Element Method Applications Medical Imaging and Computational Medicine His work emphasizes improving software sustainability and reliability through systematic documentation, requirements analysis, and generative approaches. Notable projects include the Drasil framework for literate scientific software and the Mesh Generation Toolbox. Advising & Collaboration: He advises numerous graduate students and oversees research groups like the Software Quality Research Lab (SQRL) and the Algorithms Research Group (ARG). His collaborations span computational medicine, seismology, and nuclear safety software certification. Labs/Teams: Drasil Framework Mesh Generation Toolbox (MGT) Virtual Material Testing Laboratory

• Transportation engineering
• Sustainable Transport and Infrastructures
• Environment, Economy, and Society
• +7 more

Catherine Morency is a Full Professor in the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal, where she holds the Mobility Chair and a Tier-1 Canada Research Chair on Personal Mobility. Her research focuses on transportation engineering, sustainable transport, intermodality, and equity in urban mobility. She is affiliated with multiple research units including the Centre interdisciplinaire de recherche en opérationnalisation du développement durable (CIRODD), Agence de mobilité durable, Société de transport de Montréal (STM), Laboratoire en intelligence des données, Institute for Data Valorization (IVADO), and CIRRELT. Her work integrates modeling interactions between transportation modes, analyzing spatial-temporal data, and evaluating sustainability metrics. She advocates for reducing car dependency through ridesharing, carsharing, and active modes, while emphasizing equity in transport planning. Recent publications explore driving cycle construction, metro network vulnerability, e-bike route optimization, and GHG emission modeling. 2021 - Prix d'excellence en recherche et innovation, Polytechnique Montréal 2019 - Prix Antoine Grégoire, ATUQ 2014 - Prix du président, AQTr 2005 - Prix de la francophonie, France Morency supervises numerous Ph.D. and Master's students, with completed theses spanning topics like car ownership modeling, bike-sharing demand prediction, transit network design, and impact assessments of shared mobility. She actively contributes to public discourse on Quebec transport policy, particularly critiquing car-centric projects and advocating for prioritization of public transit, equity, and data-driven decision-making.