جستجوی استاد راهنمای دانشگاهی

Dr. Youcef Derbal is an Associate Professor in the Department of Information Technology Management at Toronto Metropolitan University's Ted Rogers School of Information Technology Management. With a Ph.D. in Electrical and Computer Engineering from Queen's University, he brings extensive industry experience from robotics, telecommunications, and software sectors to his academic work. His research focuses on Complex Adaptive Systems, particularly in modeling cancer dynamics through agent-based simulations, machine learning applications for oncology, and computational frameworks for biological processes. Key research areas include tumor dynamics, cell signaling pathways, and tumor-infiltrating lymphocyte recruitment. Dr. Derbal teaches undergraduate courses in business information systems, programming, system analysis, database design, and client-server applications, along with graduate-level advanced project management. His publication record shows consistent output in computational biology, cancer modeling, and grid computing since 2006. Professional affiliations include: Association for Computing Machinery (ACM) Institute of Electrical and Electronics Engineers (IEEE) International Society for Computational Biology (ISCB) Administrative contributions include service on University Senate, chairing multiple departmental committees, leading the Business Technology Management curriculum development (2009-2014), and serving as School Director during 2013/2014.

• Complex Adaptive Systems
• Cancer Modeling
• Machine Learning in Oncology
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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.

• Operations Research
• Mathematical Optimization
• Black-box Optimization
• +۵ مورد دیگر

Alain Hertz is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He is affiliated with two major research centers: Institut de valorisation des données (IVADO) and Groupe d'études et de recherche en analyse des décisions (GERAD). His expertise spans operations research, management science, and algorithm development with applications across multiple industries. Professor Hertz specializes in combinatorial optimization, graph theory, algorithms, heuristics and metaheuristics. His research bridges theoretical mathematics with practical applications in scheduling, vehicle routing, and decision support systems. Recent work explores graph-based approaches for recommender systems and chemical graph theory, demonstrating the versatility of his mathematical frameworks. His publication record shows consistent output across top journals in operations research and graph theory. Recent articles (2021-2025) focus on extremal graph theory, chemical graphs, graph coloring variants, and applications of graph theory to recommender systems. This demonstrates both theoretical depth and practical relevance in his research trajectory. Prix de la ministre de l'Éducation, du Loisir et du Sport - Gouvernement du Québec (2011) Professor Hertz has supervised 13 doctoral students and 18 master's students, with thesis topics ranging from optimization methods for semi-supervised clustering to wind farm network design. His supervision approach emphasizes both theoretical foundations and practical applications, preparing students for careers in both academia and industry. His research has been supported by various grants enabling collaborative work with international partners. Through his affiliations with IVADO and GERAD, Professor Hertz contributes to interdisciplinary research initiatives that connect mathematical theory with real-world problems in data science, artificial intelligence, and industrial engineering.

• Operations Research
• Management Science
• Combinatorial Optimization
• +۶ مورد دیگر

Matt J. Kusner is an Associate Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. He holds additional affiliations as a Senior Academic Member at Mila - Quebec Artificial Intelligence Institute and as a Member at the Institute for Data Valorization (IVADO). Previously, he served as an Associate Professor at University College London and the University of Oxford. Professor Kusner's research spans machine learning, with particular focus on causal inference, fairness in algorithms, representation learning, and domain adaptation. His work bridges theoretical foundations with practical applications in natural language processing, algorithmic fairness, and scientific computing domains including plasma physics and renewable energy systems. His research interests include Pattern Analysis and Artificial Intelligence, Algorithms, and Learning and Inference Theories. His publication record shows consistent output across top machine learning venues including NeurIPS, ICML, and ICLR, with recent work trending toward causal machine learning methods and applications in scientific domains. Professor Kusner has 42 publications spanning from 2014 to 2025, demonstrating sustained research productivity. Turner Dissertation Award for best doctoral dissertation in Computer Science & Engineering Professor Kusner received his PhD in Computer Science from Washington University in St. Louis in 2016 under Kilian Weinberger. His work has been featured in major media outlets including The Guardian, Forbes, and the Harvard Business Review, and he has presented at prestigious institutions including the Federal Reserve Banks, Cambridge Centre for Mathematical Sciences, and the Royal Society.

• Machine Learning
• Artificial Intelligence
• Pattern Analysis
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Ivan J Fernandez is a Professor at the University of Maine in the School of Forest Resources and Climate Change Institute. With over 238 publications and 11,940 citations, his research has significantly contributed to our understanding of forest ecosystems, particularly regarding biogeochemical processes, carbon cycling, and responses to environmental change. His work bridges academic research with practical applications for forest management and climate change mitigation. Dr. Fernandez's research interests center on forest ecology and soil science, with particular focus on carbon and nitrogen cycling in forest ecosystems. He has conducted extensive long-term research at the Bear Brook Watershed in Maine, examining ecosystem responses to nitrogen and sulfur deposition. His work addresses critical questions about how forest management practices affect carbon sequestration, how acid deposition impacts forest soils, and how climate change influences watershed processes. Recent research has expanded to evaluate natural climate solutions in forest and agricultural landscapes. Analysis of Dr. Fernandez's recent publications reveals a consistent focus on ecosystem responses to environmental change, particularly regarding carbon dynamics in forest ecosystems. His work spans from detailed soil biogeochemistry to landscape-scale carbon accounting, demonstrating both depth and breadth in ecological research. The publications show strong connections between forest management practices, carbon sequestration potential, and climate change mitigation strategies, with increasing emphasis on practical applications for policy makers. Lead contributor to Maine's Climate Future reports Principal investigator for Bear Brook Watershed in Maine research Key participant in Maine Natural Climate Solutions Initiative Extensive work on forest soil monitoring and assessment Dr. Fernandez's research program emphasizes long-term ecological monitoring and experimental approaches to understand complex ecosystem processes. His work on the Bear Brook Watershed has provided critical data on ecosystem recovery from acid deposition, while more recent projects evaluate forest management strategies for climate change mitigation. Through collaborations with state agencies and other researchers, his work bridges fundamental ecological research with practical applications for forest management and climate policy. Dr. Fernandez leads an active research group focused on forest ecosystem science, with particular emphasis on soil processes, carbon cycling, and responses to environmental change. His laboratory work complements extensive field research at sites like the Bear Brook Watershed, providing comprehensive insights into forest ecosystem function under changing environmental conditions.

• Forest Ecology
• Soil Science
• Carbon Cycling
• +۶ مورد دیگر

Jerimy Cunningham is an Associate Professor at the Department of Anthropology, University of Lethbridge , with an adjunct appointment in Archaeology at the University of Calgary . He completed his PhD at McGill University after undergraduate studies at Red Deer College and University of Calgary , and graduate work at University of Western Ontario . Research Interests: Domestic production, exchange systems, ethnoarchaeology, African archaeology, Casas Grandes regional system Key Publications: Co-edited volume on Modes of Production (2017), theoretical works on slow archaeology (2019), and ethnoarchaeological case studies from Mali (2009-2017) Methodological Focus: Critical analysis of ethnographic analogy, Marxist frameworks, and materiality approaches Current Projects: Investigating household dynamics in the 13th-15th C. Casas Grandes system His 15 most recent articles (2003-2023) span topics from theoretical archaeology to material culture analysis in Africa and North America, with recurring themes of political economy , domestic modes of production , and gendered consumption . No explicit awards mentioned in current data.

• Domestic Production
• Exchange Systems
• Ethnoarchaeology
• +۷ مورد دیگر

Dr. Idil Atak serves as Professor at Toronto Metropolitan University's Lincoln Alexander School of Law, specializing in migration law, refugee protection, and human rights. Her expertise encompasses irregular migration, securitization of migration policies, and international human rights frameworks, with significant contributions to global migration governance discourse through leadership roles including Director-at-Large for CARFMS and former Editor-in-Chief of the International Journal of Migration and Border Studies. Her academic foundation includes: LLD (Doctor of Laws) from Université de Montréal MA (Social Sciences) from University of Marmara BA (Public Administration and International Relations) from University of Bogazici Atak's research critically examines the intersection of security imperatives and human rights in migration governance, focusing on policy consequences like criminalization, externalization, and sanctuary city dynamics. Her interdisciplinary approach combines legal analysis with political science perspectives to address vulnerabilities of asylum seekers and undocumented migrants, particularly in Canadian urban contexts. Recent publications reveal evolving focus on Global Compact implementation, human trafficking data systems, and sanctuary policy efficacy, demonstrating consistent engagement with contemporary migration challenges through international collaborations. Her work consistently highlights tensions between state security measures and fundamental human rights protections. Key recognitions include: Ontario's Early Researcher Award (2019-2024) Université de Montréal's Best International Thesis Award (2012) She directs multiple SSHRC-funded projects examining migration securitization, sanctuary policies, and trafficking responses, while actively mentoring emerging scholars and shaping refugee studies through CARFMS leadership. Her research teams integrate legal scholars, policymakers, and community organizations to address complex migration challenges through evidence-based approaches.

• Migration Law
• Refugee Law
• Human Rights Law
• +۲ مورد دیگر

Brian Leung is an Associate Professor at McGill University with dual appointments in the Department of Biology and the Bieler School of Environment. He holds the prestigious UNESCO Chair for Dialogues on Sustainability and serves as Director of the McGill-STRI Neotropical Environment Option, a collaborative program between McGill University and the Smithsonian Tropical Research Institute. His academic career spans over two decades of research on ecological modeling and invasive species management. PhD in Biology, Carleton University, Ottawa, ON, Canada (1999) B.Sc (Honours) in Biology, University of British Columbia, Vancouver, BC, Canada (1993) Professor Leung's research program focuses on large-scale ecological predictions and environmental decision-making, with particular emphasis on biological invasions as a major driver of biodiversity change. His work bridges mathematical, statistical, and computational modeling with empirical data across terrestrial, aquatic, and marine biomes at regional, national, and global scales. He has pioneered approaches to integrate socio-economic and ecological phenomena in understanding invasion dynamics. His current research includes leading the Panama Research and Integrated Sustainability Model (PRISM), a multidisciplinary effort to develop sustainability science templates for the Global South. Analysis of his recent publication record reveals a strong trend toward addressing global challenges in biological invasions through collaborative, interdisciplinary research. His work spans ecological theory, economic analysis, policy implications, and practical management solutions. Key themes include quantifying invasion costs, developing predictive models for species spread, assessing global monitoring capabilities, and creating scenario-based management frameworks. His research increasingly emphasizes the socioeconomic dimensions of invasions alongside ecological impacts, reflecting the complex nature of sustainability challenges. Professor Leung actively supervises graduate students, with Morgane Henry currently pursuing doctoral research under his guidance. His research program has attracted significant funding to support fieldwork, modeling efforts, and international collaborations focused on understanding and managing biological invasions. As Director of the Neotropical Environment Option, Professor Leung oversees an important international research and training platform that connects McGill University with the Smithsonian Tropical Research Institute in Panama. This program supports field research, student exchanges, and collaborative projects addressing sustainability challenges in tropical environments.

• Biological invasions
• Predictive modeling
• Quantitative ecology
• +۵ مورد دیگر

Dr. Araz Jabbari serves as an Associate Professor in the Department of Organizational Information Systems at Laval University's Faculty of Business Administration. His research examines how individuals and organizations engage with digital technologies and navigate digital transformation, with particular focus on conceptual modeling practices in increasingly complex digital environments. Dr. Jabbari maintains an active research agenda that bridges theoretical frameworks with practical applications, contributing significantly to information systems scholarship through publications in top-tier journals and conferences. Dr. Jabbari's academic foundation includes: Ph.D. in Information Systems from Queensland University of Technology MBA in IT Management from Multimedia University B.Sc. in Mathematics from University of Urmia Dr. Jabbari's research centers on conceptual modeling in the digital era, investigating how traditional modeling approaches must evolve to address contemporary challenges. His work explores how individuals understand and use multiple conceptual modeling scripts, ontological overlap in combined models, and the transition from representation to mediation in digital environments. Recent research increasingly addresses AI-specific challenges, including information quality frameworks for AI systems and the faithfulness of machine learning training data. His scholarship examines digital transformation from both technical and organizational perspectives, with growing emphasis on how data, intelligence, and transparency reshape coordination practices. Dr. Jabbari's publication trajectory demonstrates progression from foundational conceptual modeling research to cutting-edge investigations at the intersection of information systems, organizational theory, and artificial intelligence. His work shows increasing engagement with interdisciplinary topics, particularly how digital systems fundamentally reshape organizational practice. The research evolution reflects the field's broader shift from viewing information systems as representations to understanding their mediating role in digital ecosystems. Dr. Jabbari's scholarly impact is evident through: Publications in premier journals including MIS Quarterly, Journal of the Association for Information Systems, and Decision Support Systems Presentations at leading conferences such as HICSS and AMCIS Development of influential frameworks like 'Modeling 4.0' that reshape conceptual modeling discourse 297 citations across 29 publications indicating research influence As an educator, Dr. Jabbari teaches system analysis and design, business analysis, and digitization courses that likely integrate his research expertise. His student supervision approach probably emphasizes both theoretical rigor and practical application, preparing students to address real-world digital transformation challenges. His collaborative research style, evident in numerous international co-authorships, suggests opportunities for students to engage with a global research network. The Department of Organizational Information Systems at Laval University provides a rich academic environment where Dr. Jabbari contributes to shaping how future information systems professionals understand and design digital solutions for complex organizational challenges.

• Information Systems
• Conceptual Modeling
• Digital Transformation
• +۴ مورد دیگر

Marie-Eve Carignan serves as Full Professor in the Department of Communication at Université de Sherbrooke, holding key leadership roles including Program Director for the Master's in Communication (course-based track in international political communication and democratic risks) and responsibility for third-cycle development. She co-holds and directs the Media Pole at the UNESCO Chair for the Prevention of Radicalization and Violent Extremism (UNESCO-PREV Chair), demonstrating deep institutional integration. Her academic credentials include dual doctorates: a PhD in Information and Communication Sciences from Sciences Po Aix-en-Provence (France) and a joint PhD in Communication from Université de Montréal (with Concordia University and UQAM). Additional qualifications comprise a Master's and Bachelor's in Social Communication from Université du Québec à Trois-Rivières, and a Journalism and Television Animation diploma from ProMédia School. Professor Carignan's research critically examines press discourse, journalistic practices during crises (including terrorism and industrial disasters), cultural industry statistics, and media ethics. Her work bridges theoretical frameworks with practical applications, particularly analyzing ethical boundaries in native advertising and community resilience communication during events like the Lac-Mégantic rail tragedy. She investigates how media coverage shapes public understanding of complex crises while maintaining journalistic integrity. Recent publications reveal consistent focus on crisis communication dynamics, with significant attention to media coverage of terrorist attacks (Ottawa 2014) and industrial disasters. Her scholarship increasingly addresses digital transformation challenges, particularly native advertising's ethical implications and niche media development. This trajectory demonstrates evolving expertise from traditional press analysis toward contemporary digital media ethics and crisis response frameworks. She actively contributes to multiple research collectives including the Society, Law and Religions Research Center (SoDRUS) at Université de Sherbrooke, the Cultural Audiences Research Laboratory (LRPC), the International Network for Communicator Professionalization (RESIPROC), and the CHERPA research center, fostering interdisciplinary collaboration across communication, sociology, and cultural studies domains.

• Press discourse
• Communications, journalism and information
• Public relations
• +۳ مورد دیگر