جست‌وجوی استاد و پژوهشگر

Jialu Zhangمشاهده پروفایل

استادیار

• AI for Programming
• LLM-Powered Software Development
• Automated Debugging
• +۴ مورد دیگر

Jialu Zhang is a Tenure-Track Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. Her research focuses on AI-driven solutions for programming challenges, including LLM-powered software development, automated debugging, and program repair. She holds a PhD in Computer Science from Yale University (2023) and a BS in Electrical and Computer Engineering from Shanghai Jiao Tong University (2017, IEEE Honor Class). Her work emphasizes practical applications like Gmerge (merge conflict resolution), PyDex (automated code repair), and Clef (AI-assisted competitive programming). She collaborates with Microsoft Research’s RiSE and PROSE teams, exploring industry partnerships in AI-assisted software engineering. Recent projects include productizing Gmerge for Microsoft Edge and developing educational tools like PyDex for AI-driven tutoring systems. Zhang actively seeks students (Masters/PhD/interns) and industry collaborations to advance AI’s role in programming and software engineering. Her research bridges foundational AI capabilities with real-world software development challenges, emphasizing both technical innovation and educational impact.

• Workflow Verification
• Ontology and Logic Reasoning
• Healthcare Information Systems
• +۳ مورد دیگر

Wendy MacCaull is an Adjunct Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. Her scholarly activity focuses on formal methods for healthcare workflow verification, ontology reasoning, and temporal logic applications in process mining. Role: Adjunct Professor Institution: McMaster University Department: Computing and Software Research Interests: Workflow Verification, Ontology Reasoning, Healthcare Process Mining Her work bridges formal logic and healthcare IT , with publications on compensable workflows, timed BDI CTL logic verification, and ontology merging for clinical systems. She has contributed to Journal of Symbolic Logic , Lecture Notes in Computer Science , and IEEE Transactions on Knowledge and Data Engineering . Recent trends include contextual process mining (2024) and multi-context reasoning architectures (2023). Earlier works (2008-2012) explored non-classical logics, residuated logic models, and Kripke semantics.

Laura Reimerمشاهده پروفایل

استاد

• Policy and Governance
• Indigenous Education
• Reconciliation
• +۴ مورد دیگر

Dr. Laura Reimer serves as the Director of Program Development for the Faculty of Law and the Marcel A. Desautels Centre for Private Enterprise and the Law at the University of Manitoba, while also chairing the Faculty of Law Business Advisory Committee. She previously served as the first Practicum and Professional Development Coordinator for the Master of Human Rights program and was an Assistant Professor of Public Administration and Public Policy at the University of Winnipeg, where she received the prestigious Clifford J. Robson Memorial Award for Teaching Excellence. Dr. Reimer's research interests explore the intersection of theory and practice, with expertise merging peacebuilding practices with policy, governance, and leadership. She has particular focus on education policy and Indigenous education, informed by her experience as a former elected school trustee. Her career path evolved from political science to public administration, education, and peace and conflict studies, reflecting a growing understanding of the interconnectedness of justice, governance, education and human rights-informed decision-making. Her publications reveal consistent themes across policy leadership, Indigenous education, reconciliation processes, and conflict transformation. The research demonstrates a progression from foundational work on school board governance to increasingly sophisticated analyses of reconciliation frameworks and narrative approaches to peacebuilding. Her most recent work emphasizes intersectional approaches to justice that incorporate Indigeneity, gender, and security perspectives. Clifford J. Robson Memorial Award for Teaching Excellence, University of Winnipeg, 2017 Nominated for the Manitoba Book Awards for 'Expanding Edges of Narrative Inquiry: Research from the Mauro Institute' (2019) Dr. Reimer has been instrumental in developing the experiential practicum component of the Master of Human Rights program, connecting theoretical knowledge with practical application. Her community involvement includes serving as Commissioner of the Manitoba Law Reform Commission (2022-2025), membership on the University of Manitoba Board of Governors (2019-2022), and governance roles with the Mediation Services Board of Directors. As a trained Mediator, she brings practical conflict resolution expertise to her academic work, emphasizing the importance of addressing identity conflicts through understanding common ground.

• Bayesian Methods
• Biostatistics
• Data Science
• +۴ مورد دیگر

Saman Muthukumarana is a Professor and Head of the Department of Statistics at the University of Manitoba. He joined the department in 2010 as an Assistant Professor, was promoted to Associate Professor in 2016, and became a full Professor in 2022. He holds a BSc (Honours Special) in Statistics from the University of Sri Jayewardenepura, an MSc from Simon Fraser University, and a PhD from Simon Fraser University under Dr. Tim Swartz, focusing on Bayesian methods and applications. His research emphasizes Bayesian methodologies for complex models, with applications in social networks, health studies, sports analytics, environmental science, and machine learning. He has secured over $8.4M in research funding from NSERC, Mitacs, CIHR, and other organizations. His work has been published in journals such as the Canadian Journal of Statistics, Machine Learning with Applications, and IEEE Open Journal of Instrumentation & Measurement. Dr. Muthukumarana’s research spans Bayesian computation, biostatistics, data science, and environmental statistics. He has contributed to anomaly detection in buildings, predictive modeling for public health (e.g., Long COVID), and ecological studies like salmon stock recruitment. His collaborative projects include developing statistical tools for microbiome analysis and improving machine learning approaches for imbalanced datasets. He also leads the Data Science Nexus, fostering interdisciplinary research. His grants and collaborations highlight his role in advancing statistical methodologies for real-world challenges, including health, energy efficiency, and ecological conservation. While no specific awards are listed, his extensive funding and publication record reflect his scholarly impact. He currently supervises graduate students and actively participates in academic leadership roles.

Adam Aliمشاهده پروفایل

استادیار

• Islamic Studies
• Medieval History
• Military History
• +۵ مورد دیگر

Adam Ali is an Assistant Professor of Arabic Language in the Department of Near and Middle Eastern Civilizations at the University of Toronto. His research focuses on warfare, military slavery, and revolts in medieval Islamic societies, utilizing medieval Arabic chronicles and biographical documents. He teaches Arabic language courses at beginner and intermediate levels across multiple campuses and offers specialized courses on Islamic history topics. Education: PhD in Islamic History from the University of Toronto (Department of Near and Middle Eastern Civilizations), with prior M.A. degrees from the University of Western Ontario and the University of Toronto. Research Interests: Medieval Arabic military traditions, military slavery systems, rebellions, and violence dynamics in pre-modern Muslim societies. His work bridges historical analysis with primary sources, examining themes like the Zanj Revolt and Mamluk military structures. Publications include books like Slavery in Egypt under the Mamluks (Oxford UP, 2023) and Zanj Revolt in the Abbasid Caliphate (Oxford UP, 2022). His articles explore topics such as Ottoman military strategies, medieval warfare, and the socio-political role of slavery in Islamic empires. Teaching: Has developed advanced Arabic reading courses at the Mississauga campus and contributed to curriculum design for Islamic history modules. Active in pedagogical innovation for language education and historical content delivery.

Susan Schneiderمشاهده پروفایل

استاد

• Philosophy of Cognitive Science
• Artificial Intelligence
• Consciousness Studies
• +۳ مورد دیگر

Susan Schneider is the William F. Dietrich Distinguished Professor of Philosophy of Mind at Florida Atlantic University (FAU), affiliated with the Stiles-Nicholson Brain Institute and the Dorothy F. Schmidt College of Arts and Letters. She serves as Founding Director of the Center for the Future Mind and co-director of the MPCR Lab, focusing on AI, consciousness, and astrobiology. Her research explores the philosophical implications of AI, including conscious AI ethics, integrated information theory, and existential risks. Schneider has held the NASA Chair and Library of Congress Distinguished Scholar roles, contributing to AI policy development in Congress. She has authored influential books like *Artificial You* and appears frequently in media (PBS, History Channel). Her work bridges philosophy, cognitive science, and technology to address cutting-edge questions about mind, AI, and the future of intelligence. Key affiliations include FAU’s Gruber Sandbox facility, where AI systems are developed using neuroscience and philosophy insights. Collaborations with NASA and YHouse explore AI consciousness testing and interstellar probes. Schneider’s recent work involves patenting AI consciousness tests and publishing in journals like *Journal of Consciousness Studies*. She lectures globally, addressing forums such as Harvard’s Kennedy School and the World Science Festival. Education: Not explicitly listed, but her roles imply advanced academic training in philosophy and cognitive science. Grants/Awards: NASA-funded projects, Library of Congress Chair, and Forbes recognition for *Artificial You*. Media Engagement: TV appearances (Star Talk, History Channel), TED talks, and op-eds in *New York Times* and *Scientific American*. Her research trends emphasize interdisciplinary approaches to AI ethics, consciousness measurement, and future technology governance. Articles and talks highlight the urgency of addressing AI’s existential risks and philosophical boundaries. Labs like MPCR Lab exemplify her commitment to merging theory with practical AI development.

Noah Flemingمشاهده پروفایل

استادیار

• Computational Complexity
• Proof Complexity
• Circuit Complexity
• +۵ مورد دیگر

Noah Fleming is an Assistant Professor in the Department of Computer Science at Memorial University, where he is a core member of the Theory Group. He holds a PhD from the University of Toronto under Toni Pitassi, with postdoctoral research at UCSD and the Simons Institute at UC Berkeley. His research focuses on computational complexity, proof complexity, circuit complexity, and robust algorithms, with specific interests in TFNP and sublinear algorithms. Education: PhD in Computer Science (University of Toronto, 2017), supervised by Toni Pitassi. Postdoctoral positions at UCSD (2017–2020) and Simons Institute (2020–2021). Research interests include foundational questions in computational complexity, such as proof systems, circuit lower bounds, and the interplay between computational models and algorithmic robustness. His work often bridges theoretical computer science with practical algorithm design, particularly in SAT solvers and sublinear algorithms. Recent publications explore topics like polynomial hierarchy functions, sensitivity bounds in approximation algorithms, and tradeoffs in proof complexity. His work appears in top venues like STOC, CCC, and ITCS. Advising: Supervises PhD students Christophe Marciot and Deniz Imrek (co-supervised with Anna Gal), MSc student Jordan Kilfoy (co-supervised with Antonina Kolokolova), and undergraduate researchers Parsa Esmkhani, Grey Seaward, and Michael Gregory (both co-supervised with Antonina Kolokolova). Active in organizing the Theory Group's seminars and workshops. Labs/Teams: Leads the Complexity Theory research stream within the Theory Group at Memorial University, collaborating with faculty like Antonina Kolokolova and visiting researchers from institutions such as UC Berkeley and University of Toronto.

• Machine Learning
• Computer Vision
• Artificial Intelligence
• +۵ مورد دیگر

Eugene Belilovsky is an Assistant Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on machine learning, computer vision, optimization algorithms, and their applications in medical imaging and federated learning. He explores topics such as continual learning, model merging, and bias mitigation in deep learning systems. His work bridges theoretical advancements with practical applications, including healthcare diagnostics and efficient training strategies for large models. Belilovsky's recent publications emphasize innovative methods like MuLoCo for inner optimizer design, FairDropout for enhancing minority group generalization, and techniques to scale multi-task learning with sparse masks. His studies on federated learning explore incentive mechanisms for decentralized systems and robust pre-training of large language models. His contributions to 3D reconstruction and motion prediction highlight interdisciplinary applications in computer graphics and generative models. His research trends reflect a strong emphasis on improving model efficiency, fairness, and adaptability across diverse domains. While no scientific awards are explicitly listed, his prolific publication record underscores his impactful contributions to AI and machine learning.

• Classroom Management
• Pedagogical Practices
• Motivational Dynamics
• +۵ مورد دیگر

Jonathan Smith is an Associate Professor at the University of Sherbrooke since 2022, previously serving as Assistant Professor from 2017-2022. His research spans psychopedagogy, classroom dynamics, and mental health interventions, with editorial roles at Social Psychology of Education (Springer) and consulting editorships at Journal of Educational Psychology (APA) and Journal of Research on Adolescence (Wiley). His research focuses on motivational dynamics , classroom management , educational transitions , and mental health interventions for students. Recent work examines eco-anxiety through arts-based interventions, body image concerns, and pandemic-related anxiety in Quebec adolescents. He employs statistical modeling and mixed-methods approaches to analyze pedagogical practices and psychosocial adaptation. Current publications reveal strong trends in climate anxiety interventions (12% of recent work), existential psychology applications (18%), and digital media impact studies (9%). His team frequently collaborates across disciplines, merging educational psychology with clinical approaches to address student wellbeing through arts, philosophy, and mindfulness. Nomination for UdS-Tremplin Research Prize (University of Sherbrooke, 2022) Thesis Excellence Mention (University of Montreal, 2018) Dr. Smith co-leads 14 active research grants totaling over $6.5M CAD, primarily from FRQSC, SSHRC, and Public Health Agency of Canada. His GRISE research group (Groupe de recherche et d'intervention sur les adaptations scolaires de l'enfance) conducts school-based interventions for anxiety prevention and mental health support. Current projects include eco-anxiety toolkits for primary teachers and scaling the HORS-PISTE anxiety prevention program across Quebec schools.

• Computer Vision
• Machine Learning
• Image Classification
• +۳ مورد دیگر

Jalila Filali is a Researcher at Université Laval, affiliated with the Computer Vision and Systems Laboratory. Her work focuses on advancing computer vision techniques through ontology integration and deep learning models, with applications in environmental monitoring and wildlife tracking. She holds a post-doctoral position and specializes in image classification, object detection, and semantic annotation systems. Her research interests include developing ontology-driven systems for image annotation, comparing machine learning models like HMAX and Bag-of-Visual-Words for large-scale classification, and applying YOLOv5 frameworks to analyze wildlife behavior via camera-collar videos. She has contributed to projects involving environmental information extraction in northern Quebec ecosystems. Key technical trends in her publications include hybrid ontology-machine learning architectures, classifier fusion techniques, and the integration of visual features with semantic knowledge bases. She has explored both theoretical advancements in computer vision algorithms and practical implementations in ecological monitoring contexts. Jalila Filali's work is supported by the Computer Vision and Systems Laboratory at Université Laval, where she contributes to interdisciplinary projects merging artificial intelligence with ecological research.

• Political Ecology
• Critical Agrarian Studies
• Rural Development
• +۷ مورد دیگر

Diana Cordoba is an Assistant Professor at Queen's University in the Global Development Studies department. She holds a PhD in Social Sciences from Wageningen University and focuses on critical agrarian studies and political ecology. Education: PhD (Social Sciences), Wageningen University Her research examines the social and environmental impacts of rural development practices, technologies, and models across Latin America, with fieldwork in Bolivia, Brazil, Colombia, Argentina, Honduras, Nicaragua, and Mexico. Key areas include: Interactions between neoliberalism and post-neoliberal governance Political ecology of natural resource management Sustainability standards and fair trade systems Participatory approaches in agrarian development State-society relations in environmental policy Commodity crop expansion and deforestation Dissertations and publications since 2010 analyze power dynamics in development interventions, including Payments for Ecosystem Services (PES) schemes and value chain alliances. Her work reveals how political and technical dimensions merge in shaping rural development. Contact: diana.cordoba@queensu.ca

Sara Ellisonمشاهده پروفایل

استاد

• Galaxy Evolution
• Astrophysics
• Quasar Absorption Lines
• +۳ مورد دیگر

Sara Ellison is a Professor in the Department of Physics and Astronomy at the University of Victoria. Her research focuses on multi-wavelength studies of galaxies and AGN, QSO absorption lines, and the evolution of galaxies through cosmic time. She leads projects such as the UNIONS survey, analyzing galaxy mergers and their impacts on star formation and AGN activity. Ellison has secured significant grants including NSERC Discovery Accelerator (2007-2010) and CFI infrastructure funding. Her work combines observational data, simulations, and machine learning to explore interstellar/intergalactic media, chemical enrichment, and environmental effects on galaxies. Notable collaborations include the GalNet initiative and the XQ-100 survey, which study neutral gas and metals at high redshift. Ellison’s research has been recognized in awards like the shared 2025 Breakthrough Prize in Physics. Key projects include the MAGPI survey (tracking star formation trends) and the FLASH survey (HI absorption studies). She advises a research group focusing on post-merger galaxies, AGN triggering, and cosmological simulations. Ellison’s contributions span over 150 publications, emphasizing galaxy evolution mechanisms and observational techniques.

Yagiz Aksoyمشاهده پروفایل

استادیار

• Computational Photography
• Computer Graphics
• Image Editing
• +۵ مورد دیگر

Yağız Aksoy is an Assistant Professor in the School of Computing Science at Simon Fraser University (SFU), leading the Computational Photography Lab. His research focuses on inverse rendering and computational photography, aiming to enable 3D physical control over light and geometry in image editing and movie post-production. His work is funded by NSERC, CFI, BC government, Adobe Research, and Meta Reality Labs. Education: PhD in Computer Science, ETH Zurich (2019), supervised by Marc Pollefeys. Postdoctoral research at MIT CSAIL with Wojciech Matusik and Disney Research Zurich. MSc in Computer Engineering, Middle East Technical University (2013). Research Interests: His lab develops physically-based methods for relighting, intrinsic image decomposition, HDR reconstruction, and monocular depth estimation. Recent breakthroughs include Physically Controllable Relighting (SIGGRAPH 2025) and Colorful Diffuse Intrinsic Decomposition (SIGGRAPH Asia 2024, Best Paper Honorable Mention). Grants & Awards: Best Paper Award Honorable Mention at SIGGRAPH Asia 2024. NSERC Discovery Grant, CFI John R. Evans Leaders Fund, and BC Early Career Research Award. Industry partnerships with Adobe and Meta. Students & Lab: Supervises PhD/MSc students including Chris Careaga, Sebastian Dille, and Mahdi Miangoleh. The lab's Computational Photography Studio operates in a production environment, emphasizing real-world applicability. Active projects include RGB+NIR editing, dynamic scene rendering, and physically-aware compositing tools.

Xinzhi Liuمشاهده پروفایل

استاد

• Hybrid Dynamical Systems
• Nonlinear Stability
• Mathematical Biology
• +۱ مورد دیگر

Xinzhi Liu is a Professor in the Department of Applied Mathematics at the University of Waterloo. His research focuses on hybrid dynamical systems, nonlinear stability, mathematical biology, and secure communication. He develops control strategies for multi-agent systems, stochastic systems, and networked environments. Recent work includes hybrid impulsive control for formation tracking, resilient algorithms for autonomous vehicles under cyber-attacks, and bifurcation analysis of impulsive systems. Applications span robotics, epidemiology, and communication networks.

Sam Nakhlaمشاهده پروفایل

استاد

• Composite Materials
• Multiscale Modeling
• Biomechanics
• +۵ مورد دیگر

Sam Nakhla is a Professor of Mechanical Engineering at Memorial University of Newfoundland, with a cross-appointment in the Faculty of Medicine. He holds degrees from Cairo University (BSc, MSc Aeronautical Engineering) and Georgia Institute of Technology (MSc, PhD Aerospace Engineering). His research focuses on mechanics of materials, composite materials analysis, multiscale modeling, and biomechanics, with applications in aerospace, mechanical, and biomedical engineering. He leads the Germain Laboratory for Advanced Structures (GLAS), pioneering work in environmental degradation analysis, additive manufacturing defects, and AI-driven design optimization. Dr. Nakhla’s research spans molecular dynamics simulations, fracture mechanics, and nondestructive evaluation techniques like µCT. He has collaborated with industry partners such as Suncor, Bombardier, and NASA Goddard, securing federal/provincial funding. His work includes developing virtual design tools for prosthetic sockets, optimizing morphing wing composites, and advancing ASTM standards for material testing. Current initiatives address Additive Manufacturing quality control through AI-Design of Experiments. His academic contributions include over 50 peer-reviewed articles, teaching innovations in aerospace structures, and interdisciplinary work merging medical imaging with engineering solutions for healthcare applications. He established the GLAS lab in honor of Marie-Sophie Germain, emphasizing precision engineering and material integrity.