جست‌وجوی استاد و پژوهشگر

Lois Weinthalمشاهده پروفایل

استاد

• Interior Design Theory
• Digital Fabrication
• Healthy Interior Design
• +۴ مورد دیگر

Lois Weinthal is a Professor and Graduate Program Director at the School of Interior Design, Toronto Metropolitan University. Her academic career spans roles at institutions like Parsons The New School for Design and The University of Texas at Austin. She holds an MArch from Cranbrook Academy of Art and a BArch from Rhode Island School of Design. Her research explores intersections between architecture, interiors, and material culture. Key interests include interior design theory, digital fabrication, and post-pandemic spatial practices. Her 2011 anthology Toward a New Interior redefined interior theory and won the IDEC Book Award. She co-edits the Interiors: Design/Architecture/Culture journal and has secured grants from SSHRC, Graham Foundation, and DAAD. Recent work includes SSHRC-funded projects on digital fabrication in interior design and pandemic-informed design strategies. Her exhibitions such as Interior Archipelago blend theory and practice, addressing global spatial narratives. Awards recognize her contributions to design education and creative scholarship.

• Software Engineering
• Software Testing
• Software Design
• +۳ مورد دیگر

Benoit Baudry is a Full Professor of Computer Science at the University of Montreal's Faculty of Arts and Sciences, Department of Computer Science and Operations Research. He leads the GEODES research group (Groupe de recherche sur les systèmes ouverts et distribués et l’expérimentation dans les logiciels), focusing on software engineering challenges. His teaching responsibilities include courses like Software Quality Metrics (IFT-3913), Software Project Management (IFT-3150), and Advanced Topics in Software Engineering (IFT-6251). He is actively involved in strategic initiatives like IVADO and MITACS-funded projects. Research interests span software supply chain security, dependency management, automated software engineering, and AI-driven development tools. He leads projects such as 'Safe and Transparent Software Reuse' (2025–2031) funded by NSERC and 'CLIMB: LLM-driven MLOps Interface' (2025) supported by MITACS. His work addresses critical issues like detecting bloated dependencies, ensuring reproducible builds, and mitigating supply chain vulnerabilities. Recent funding includes NSERC Discovery Grants and Apogée Canada operational funds. He has pioneered techniques for generating mocks from production data, automating test generation via runtime analysis, and applying large language models to software repair. His interdisciplinary projects bridge software engineering with digital art, such as algorithmic art generation systems. He advises multiple graduate programs including Computer Science Bachelors, Masters, and PhD tracks. Key collaborations include KTH Royal Institute of Technology and industry partnerships like Co-operators. His research emphasizes practical solutions for real-world software systems' reliability and security.

Jane Yardleyمشاهده پروفایل

استاد

• Diabetes
• Exercise Physiology
• Public Health
• +۳ مورد دیگر

Jane Yardley is a Professor at the Université de Montréal, affiliated with the Faculty of Medicine and the School of Kinesiology and Physical Activity Sciences. Her email is jane.yardley@umontreal.ca , and she holds a secondary number at work. She teaches courses like KIN-1047 (Physiological Foundations of Physical Activity) in the Baccalauréat en enseignement de l'éducation physique et à la santé program. Her research focuses on diabetes management during physical activity, particularly in females, exploring topics like glycemic control during exercise, menstrual cycle impacts, and automated insulin delivery systems. Key themes include sex-specific precision medicine, barriers to physical activity in diabetic populations, and strategies to mitigate hyperglycemia-related anxiety in athletes. Her work spans clinical trials (e.g., READI trial), observational studies, and qualitative analyses examining patient experiences. She collaborates on strategic research initiatives at Université de Montréal, contributing to evidence-based guidelines for diabetes care in active individuals. Advising and grants: While specific grants are not listed, her involvement in initiatives like the BETTER registry and participation in collaborative studies suggest active grant-funded research. She advises on clinical trial design and patient-centered research priorities as reflected in her scoping reviews and priority-setting projects. Labs/teams: Affiliated with research centers within the School of Kinesiology, focusing on translational studies linking exercise physiology to diabetes management. Collaborates with endocrinology and sports medicine teams for comprehensive patient care approaches.

Donatella Tampieriمشاهده پروفایل

استاد

• Clinical medicine
• Cerebrovascular sciences
• Neurosciences
• +۳ مورد دیگر

Donatella Tampieri is a Professor of Radiology at McGill University, holding joint appointments in Neurology and Neurosurgery. She serves as Chief of Neuroradiology at the Montreal Neurological Hospital and Institute. Her primary affiliations include the Department of Diagnostic Radiology within the Faculty of Health Sciences and the School of Medicine. She has over 200 peer-reviewed publications and has contributed to major clinical trials in cerebrovascular interventions. Education: MD from University of Bologna, Italy (1986) Specialist in Radiology certification from University of Bologna, Italy (1986) Neuroradiology fellowship at Montreal Neurological Hospital (post-1984) Research Focus: Treatment of intracranial aneurysms and vascular malformations Endovascular revascularization techniques Neuroimaging advancements in stroke diagnosis (CT/MRI perfusion, collateral circulation assessment) Collaborations on AI tools for ischemic stroke evaluation (CASCADE-FSL, SCANED) Key Contributions: Leading roles in the MAPS (aneurysm coil efficacy) and ESCAPE (endovascular therapy timing) trials Development of standardized stroke care guidelines (Canadian best practices) Pioneer in portable MRI applications for remote stroke care Administrative Roles: Chair of the Council of Physicians at the Montréal Neurological Hospital and Institute, and leadership in national/international neuroradiology societies. Labs/Teams: Active in the Centre for Neuroscience Studies at Queen’s University and the McGill Stroke Program. Collaborates across disciplines in neurology, neurosurgery, and radiology.

Xiang Liمشاهده پروفایل

دانشیار

• Process control and simulation in chemical engineering
• Optimization under uncertainty
• Data-driven estimation, optimization, and control
• +۳ مورد دیگر

Dr. Xiang Li is an Associate Professor in the Department of Chemical Engineering at Queen's University, affiliated with the Smith Engineering Faculty. His email is xl14@queensu.ca, and his office is located in Dupuis 403. He holds a PhD in Chemical Engineering from McMaster University, an M.Eng. in Systems Engineering from Zhejiang University, and a B.Eng. in Industrial Automation, also from Zhejiang University. After completing a postdoctoral fellowship at MIT, he joined Queen's University in 2011. His research focuses on optimizing complex engineering systems under uncertainty, with emphasis on energy and water networks, production planning, and data-driven optimization techniques. Key areas include mixed-integer programming, stochastic optimization, and supply chain management. His work bridges theoretical advancements and practical applications in chemical engineering. Dr. Li has been recognized with an NSERC Discovery Grant (Early Career Supplement). His research outputs span computational biology (e.g., nucleosome positioning, histone mutations) and traditional chemical engineering domains, reflecting interdisciplinary interests. His lab develops novel algorithms and software tools for system design and control. Education: PhD (2009): Chemical Engineering, McMaster University M.Eng. (2003): Systems Engineering, Zhejiang University B.Eng. (2000): Industrial Automation, Zhejiang University Awards: NSERC Discovery Grant with Early Career Researcher Supplement His advising efforts and grant activities are central to advancing interdisciplinary engineering solutions. Current projects involve energy-water nexus systems, optimization under uncertainty, and data-driven methodologies.

Ying Zouمشاهده پروفایل

استاد

• Software Engineering
• Software Maintenance and Evolution
• Empirical Studies
• +۷ مورد دیگر

Dr. Ying Zou is a Professor and Canada Research Chair (Tier II) in Software Evolution at Queen’s University’s Department of Electrical and Computer Engineering, with a cross-appointment to the School of Computing. She is a Visiting Faculty Fellow at IBM Centers for Advanced Studies (CAS) and a member of IEEE. Her research focuses on software engineering, maintenance, empirical studies, and service-oriented computing, with notable contributions to refactoring patterns, performance analysis, and developer tooling. Education: BEng from Beijing Polytechnic University (China), MEng from Chinese Academy of Space Technology (China), and PhD from the University of Waterloo (Canada). Research interests include software evolution dynamics, code clone analysis, and optimizing developer workflows. Notable achievements include the 2014 IBM CAS Research Faculty Fellow of the Year and two IBM Faculty Awards (2007, 2008). Her work bridges empirical software engineering with practical industrial applications. Awards: Canada Research Chair, IBM Faculty Awards, IBM CAS Fellow Grants: IBM CAS collaborations, cross-disciplinary research funding Labs/Teams: Active contributor to the Software Evolution and Analysis Lab (SEAL), focusing on empirical studies and tool development for software maintenance challenges.

James Fraserمشاهده پروفایل

استاد

• Ultrafast Nanosystems
• Laser Material Processing
• Coherent Imaging
• +۴ مورد دیگر

James M. Fraser is a Professor of Physics at Queen's University, Canada, leading an experimental research team in coherent imaging, ultrafast nanosystems, and laser processing. He holds a PhD from the University of Toronto and has pioneered real-time monitoring techniques for high-power laser manufacturing, including welding and additive manufacturing. His work bridges fundamental physics and industrial applications, with six patents and the co-founding of Laser Depth Dynamics, now part of IPG Photonics. Fraser is recognized for teaching excellence, winning the CAP Teaching Medal and 3M National Fellowship. He directs the NSERC CREATE-MAPS program, fostering interdisciplinary training in photonics and sensing for graduate students in Physics, Chemistry, and Chemical Engineering. Research interests include optoelectronic properties of carbon nanotubes, 2D materials, and laser processing dynamics. His innovations in inline coherent imaging enable real-time control of manufacturing defects and material behavior. Fraser's contributions span academic publications, patents, and industry partnerships, emphasizing both scientific discovery and practical application. Education: PhD, University of Toronto Awards: CAP Teaching Medal, 3M National Fellowship, OCE Martin Walmsley Fellowship Labs/Teams: Experimental Physics Lab, Laser Depth Dynamics (spin-off)

Christopher Bowieمشاهده پروفایل

استاد

• Neurocognition in Psychosis
• Functional Outcomes in Psychotic Disorders
• Cognitive Remediation
• +۳ مورد دیگر

Christopher Bowie is a Professor in the Department of Psychology at Queen's University. He holds a M.A. (1997) and Ph.D. (2002) from Hofstra University. His research focuses on neurocognition in psychosis, functional outcomes in psychotic disorders, novel behavioral assessment methods, and early intervention in severe mental illness. He is affiliated with the university's Clinical Program and leads the Bowie Lab. His work emphasizes cognitive remediation strategies and translational research in schizophrenia and related disorders. Research interests include neurocognitive mechanisms underlying psychosis, pharmacological and behavioral treatments for cognitive deficits, and optimizing functional outcomes through evidence-based interventions. His studies often involve collaborations with clinical teams, leveraging advanced neuroimaging and behavioral analysis methods. Recent work explores the role of cognitive training in improving real-world functioning and mental health outcomes in university students and older adults with cognitive impairments. Key publications highlight advancements in cognitive remediation techniques, including randomized controlled trials evaluating interventions for schizophrenia, bipolar disorder, and age-related cognitive decline. His work also addresses the moderating effects of neurophysiology on treatment outcomes and the development of objective assessment tools using digital technologies. Bowie has contributed to influential white papers on cognitive remediation standards and co-edited a seminal text on cognitive remediation's role in improving functional outcomes. His research is supported by grants focusing on translational approaches, including studies integrating transcranial direct current stimulation with cognitive training. Collaborations with international consortia (e.g., the Canadian Biomarker Integration Network in Depression) underscore his commitment to advancing biomarker-based and neurocognitive research in mental health.

Arie Gurfinkelمشاهده پروفایل

استاد

• Automated Program Analysis
• Software Model Checking
• Automated Reasoning
• +۴ مورد دیگر

Arie Gurfinkel is a Professor at the University of Waterloo, holding a joint appointment in the Department of Electrical and Computer Engineering and the Cheriton School of Computer Science. His research focuses on automated program analysis, software model checking, automated reasoning, and abstract interpretation. He develops tools like SeaHorn, Avy, and others to enhance the verification and testing of complex computer systems. His work emphasizes formal methods, machine learning integration, and hardware/software verification. Recent publications highlight advancements in interpolation-based model checking, constrained Horn clauses, and algorithm selection for hardware verification. Gurfinkel's contributions include open-source tools and frameworks widely used in academic and industrial verification efforts. He actively seeks motivated graduate students interested in logic, automated reasoning, and formal methods. His research has been presented in top-tier conferences and journals, reflecting his expertise in formal verification and software engineering.

Michael Godfreyمشاهده پروفایل

استاد

• Software Engineering
• Software Evolution
• Empirical Studies
• +۵ مورد دیگر

Michael Godfrey is a Professor at the University of Waterloo's David R. Cheriton School of Computer Science, affiliated with the Department of Electrical and Computer Engineering. His work focuses on software engineering, empirical studies of software systems, code review practices, and open-source software ecosystems. He holds a Ph.D., M.Sc., and B.Sc. from the University of Toronto (1997, 1988, 1986). Research interests include software evolution, mining software repositories, provenance tracking, code duplication analysis, and program comprehension. He actively explores how developers interact with code reviews, documentation systems, and modern CI/CD pipelines. Recent work investigates app store software ecosystems, Bash scripting vulnerabilities, and deep learning API testing. Publications span empirical studies of developer communities (e.g., Stack Overflow analysis), architectural teaching methods, and automated testing techniques like documentation-guided fuzzing. His work bridges theory and practice, addressing challenges in large-scale systems maintenance and developer productivity. Leverages tools like Elasticsearch for repository mining and explores anomaly detection in software development. Engaged in curriculum development for software architecture education and has contributed to conferences like MSR and ICSE.

Yang Luمشاهده پروفایل

استادیار

• Machine Learning
• Genomics
• Proteomics
• +۳ مورد دیگر

Dr. Yang Lu is an Assistant Professor at the Cheriton School of Computer Science, University of Waterloo. He develops interpretable machine learning methods for genomics and proteomics, with applications in single-cell analysis and mass spectrometry. His research integrates statistical learning with biological data science to advance reproducible AI in healthcare applications.

Meiyappan Nagappanمشاهده پروفایل

دانشیار

• Empirical Software Engineering
• Mining Software Repositories
• Software Security
• +۳ مورد دیگر

Academic Profile Dr. Meiyappan (Mei) Nagappan is an Associate Professor at the University of Waterloo's Cheriton School of Computer Science. He holds a Ph.D. (2011) and M.Sc. (2008) from North Carolina State University, and a B.Sc. from Anna University, India (2006). Research Focus His research spans empirical software engineering, mining software repositories, and mobile app store analysis. Current investigations focus on software security, static analysis techniques, and diversity in software engineering. Recent work critically examines AI programming assistants like GitHub Copilot, evaluating their performance, security implications, and impact on developer workflows. Key Research Areas Diversity analysis in open-source contributions and academic publishing Vulnerability detection using machine learning Bug localization and automated debugging Cross-platform app analysis Publications Research demonstrates strong focus on empirical validation of developer tools, with recent emphasis on AI-assisted programming. Work appears in top software engineering venues covering security, testing, and developer productivity.

Shane McIntoshمشاهده پروفایل

دانشیار

• Empirical Software Engineering
• Software Delivery
• Release Engineering
• +۲ مورد دیگر

Shane McIntosh is an Associate Professor and Associate Director of Graduate Studies at the Cheriton School of Computer Science, University of Waterloo. He holds a Ph.D. from Queen's University (2015) and specializes in empirical software engineering, software delivery processes, and software quality improvement through data mining techniques. His research focuses on analyzing historical and operational data from large-scale software systems to derive actionable insights. Key areas include release engineering, DevOps optimization, and software quality enhancement. McIntosh employs empirical methods to study build systems, continuous integration practices, and defect prediction. McIntosh's recent publications demonstrate a strong focus on improving software development workflows through empirical analysis of build systems, CI/CD pipelines, and code quality metrics. His work frequently addresses efficiency optimization in development operations and vulnerability detection in machine learning systems.

Sharon Fergusonمشاهده پروفایل

استادیار

• Computer-Supported Cooperative Work
• Human-Computer Interaction
• Future of Work
• +۵ مورد دیگر

Sharon Ferguson is an Assistant Professor in the Management Sciences Department at the University of Waterloo and a faculty affiliate at the Schwartz Reisman Institute for Technology and Society. Her research focuses on understanding and improving teamwork through digital trace data analysis, particularly in Human-AI collaboration and virtual environments. She holds a PhD in Mechanical and Industrial Engineering from the University of Toronto (2024), where she also earned a BASc in Industrial Engineering (2020). Her work has been recognized with awards such as the 2023 Teaching Assistant Award and the Reviewer's Favourite Award at the International Conference on Engineering Design. Ferguson has led projects on Human-AI decision-making, student retention in AI, and the impact of remote work on engineering teams. She previously interned at Slack’s Future of Work team and served as President of the Graduate Society of Women Engineers. Education: PhD in Mechanical and Industrial Engineering (2024), University of Toronto BASc in Industrial Engineering (2020), University of Toronto Research Interests: Computer-Supported Cooperative Work Human-Computer Interaction Human-AI Collaboration Virtual Collaboration Engineering Design Processes Diversity and Inclusion in STEM Publications Trends: Her recent work emphasizes leveraging digital communication data to study team dynamics, with a focus on psychological safety, gendered language patterns, and the impact of AI on decision-making. She frequently publishes in top venues like CHI and CSCW, addressing hybrid work challenges and innovation in distributed teams. Awards and Grants: NSERC Canada Graduate Scholarship Microsoft AI & The New Future of Work Grant (2024) Human-AI Interaction Fellowship Ethics of AI Fellowship Technology and Society Fellowship Advising & Labs: Currently recruiting graduate students at the University of Waterloo. Active in the Ready Lab (University of Toronto) and COoKIE Group, focusing on algorithmic solutions for shared understanding in teams. She also leads projects on student social belonging and conflict analysis in hybrid design teams.

Fatih Safa Erenayمشاهده پروفایل

دانشیار

• Stochastic Modeling and Optimization
• Markov Decision Processes
• Medical Decision Making
• +۷ مورد دیگر

Fatih Safa Erenay is an Associate Professor in the Department of Management Sciences at the University of Waterloo. His research integrates stochastic modeling, optimization techniques, and healthcare policy analysis. He holds a PhD in Industrial and Systems Engineering from the University of Wisconsin-Madison (2010), an MSc (2006) and BSc (2004) in Industrial Engineering from Bilkent University. Dr. Erenay's research spans three key areas: healthcare decision-making (organ transplantation protocols, cancer screening optimization, and vaccine distribution), stochastic modeling (Markov decision processes, simulation-based optimization), and production systems (multi-criteria scheduling, facility design). His medical research specifically examines chronic disease management through collaborations with Mayo Clinic and Grand River Hospital. Analysis of his 15 most recent publications reveals strong thematic clusters: healthcare operations (67%), optimization methodology (20%), and energy/process engineering (13%). Primary methodologies include stochastic modeling, simulation-based optimization, and cost-effectiveness analysis applied to medical and industrial systems. Scientific Awards: Best Paper for liver allocation system design INFORMS Pierskalla Award Finalist (2011) 1st Place, INFORMS Service Science Award (2009) IERC Doctoral Colloquium Poster Award (2009) TUBITAK Graduate Scholarship (2005-2006) Research Funding: Secured $347,000 in grants including: NSERC Discovery Grants (2012-2017, 2018-2023) University of Waterloo Start-up Grant (2011) Mayo Clinic Travel Funding (2017-2018) He currently advises 6 PhD and 2 MSc students, with 9 graduates now in academic and industry positions. Directs collaborative projects with: Mayo Clinic (Neurology, Gastroenterology) Grand River Hospital (Infectious Diseases) Ontario Ministry of Health Petroleum/energy sector partners