جستجوی استاد راهنمای دانشگاهی

Yanbo Guoمشاهده پروفایل

استادیار

• Renal Transplantation
• Uro-oncology
• Surgical Innovation
• +۳ مورد دیگر

Dr. Yanbo Guo serves as an Assistant Professor in Surgery at McMaster University and practices as an attending surgeon in Urology and Renal Transplantation at St. Joseph's Healthcare and Hamilton Health Sciences. His clinical expertise encompasses kidney and pancreas transplantation, complex urological procedures, and uro-oncology management. Education: Residency in Urology, McMaster University Advanced Fellowship in Kidney and Pancreas Transplantation, University of Western Ontario Dr. Guo's research program focuses on renal transplantation optimization , urological oncology , and surgical innovation . His work bridges clinical practice and technological advancement, particularly in donor kidney assessment protocols (including the Canadian Anatomic Kidney Score), machine learning applications for recurrence prediction, and novel preservation techniques. Recent publications demonstrate significant contributions to point-of-care diagnostics for transplant recipients and robotic surgical training methodologies. Analysis of his 15 most recent publications reveals dominant themes in transplantation medicine (47%), urological oncology (20%), and surgical technology (13%), with emerging interdisciplinary work in public health (13%) and materials science (7%). His research consistently appears in high-impact journals including Journal of Urology , Transplantation , and European Urology . Professional Affiliations: St. Joseph's Healthcare, Hamilton (Urology and Renal Transplantation) Hamilton Health Sciences (Urology and Renal Transplantation)

Yuepeng Wangمشاهده پروفایل

استادیار

• Programming Languages
• Formal Methods
• Software Engineering
• +۱ مورد دیگر

Yuepeng Wang is an Assistant Professor at the School of Computing Science, Simon Fraser University, Canada. He received his PhD and MSc from the University of Texas at Austin and BEng (honors) from the University of Science and Technology of China. Previously, he was a postdoctoral researcher at the University of Pennsylvania. Academic Honors: Distinguished Paper Award (OOPSLA'24, OOPSLA'17) Research Focus: Programming languages, formal verification, program synthesis, software engineering, and databases His research combines program verification and synthesis techniques across database applications, smart contracts, and software refactoring. Recent work focuses on SQL query equivalence, smart contract verification, and synthesis-driven database transformations. He supervises multiple graduate students and teaches advanced courses in programming languages and formal verification. He has contributed 15+ publications to top venues including PLDI, OOPSLA, ICSE, and POPL. His service includes program committee roles at POPL'26, SAS'25, and artifact evaluation committees for OOPSLA'23 and CAV'20. He also received the Distinguished Reviewer Award from PLDI'24.

Jessie Galasso-Carbonnelمشاهده پروفایل

استادیار

• Software Engineering
• Software Reverse Engineering
• Knowledge Extraction
• +۵ مورد دیگر

Jessie Galasso-Carbonnel is an Assistant Professor in the Department of Electrical and Computer Engineering at McGill University's Faculty of Engineering. Her research focuses on software reverse engineering, knowledge extraction, variability management, and software repository mining. She holds a Ph.D. in Computer Science from the University of Montpellier (2018) and completed postdoctoral research at the French National Institute for Sustainable Development (IRD) and the University of Montréal's Geodes group. She is currently co-chairing several international conferences and workshops, including the Poster Track at MODELS’24 and the Doctoral Symposium at SPLC’24. Her academic background includes: Ph.D. in Computer Science, University of Montpellier (2018) Postdoctoral Researcher at IRD (2019–2020) and University of Montréal (2020–2023) Recipient of IVADO Postdoctoral Research Funding (2020) Research interests span: Software product line engineering Formal concept analysis AI-driven code recommendation systems Domain-specific language design Reproducible software development practices Recent contributions include advancements in: Automated repair of semantic errors in model transformations Social diversity metrics for collaborative problem-solving Low-code development frameworks for AI pipelines She actively contributes to the academic community through roles such as PC member for SANER’25 and co-chair of multiple international workshops. Her work intersects software engineering, AI, and formal methods to advance scalable and accessible software development practices.

• 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.

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.

Houari Sahraouiمشاهده پروفایل

استاد

• Software Engineering
• Automated Software Engineering
• Model-Driven Engineering
• +۵ مورد دیگر

Houari Sahraoui is a Full Professor and Vice Dean of Planning and Infrastructure at the Faculty of Arts and Sciences, University of Montreal, where he also previously served as Department Director from 2013 to 2017. He leads the GEODES research group (Groupe de recherche sur les systèmes ouverts et distribués et l'expérimentation dans les logiciels) and has been actively supervising graduate students and conducting research in software engineering since at least 2000. Dr. Sahraoui's research focuses on automated software engineering , with particular emphasis on model transformations learning from examples using evolutionary approaches. His work spans reverse engineering (comprehension) and reengineering (refactoring, migration to component-based software), utilizing static and dynamic analysis techniques. He also investigates visualization of large sets of multidimensional data for software comprehension and maintenance. His research integrates artificial intelligence approaches to enhance various phases of the software development lifecycle. His recent publications demonstrate a strong trend toward integrating large language models and artificial intelligence with traditional software engineering practices. The research spans code review automation, model-driven engineering, microservices identification, and digital twins for applications like vertical farming. Many publications focus on improving automation through techniques like parameter-efficient fine-tuning, knowledge distillation, and social diversity metrics. Dr. Sahraoui was named a Fellow of Automated Software Engineering in 2023, an honor recognizing his significant and sustained contributions to the ASE community, both scientifically and professionally. This prestigious title is awarded by the IEEE/ACM International Conference Steering Committee. Dr. Sahraoui has supervised over 50 Master's and PhD students throughout his career, with recent supervision focusing on AI-assisted software engineering, code review automation, and model-driven approaches. His research has been supported by multiple grants from the Natural Sciences and Engineering Research Council of Canada (NSERC), MITACS, and industry partners, with projects spanning from 2000 to projected completion in 2031. He leads the GEODES research group (Groupe de recherche sur les systèmes ouverts et distribués et l'expérimentation dans les logiciels) which focuses on open and distributed systems and software experimentation. His current projects include 'Improving automation and assistance for software engineering tasks with generative AI' (2025-2031) and work on digital twins for vertical farming.

• Ophthalmology
• Retinal Surgery
• Medical Imaging Analysis
• +۳ مورد دیگر

Renaud Duval is a Clinical Associate Professor in the Department of Ophthalmology at the University of Montreal's Faculty of Medicine. He directs the Ophthalmology Fellowship Program and leads retinal services at the Centre universitaire d’ophtalmologie (Hôpital Maisonneuve-Rosemont). His clinical practice integrates surgical innovation, medical education, and research supervision for medical students, residents, and fellows. Education: MD CM, McGill University (2006) Residency in Ophthalmology, Université de Montréal (2011) Fellowship in Vitreoretinal Surgery, Rush University/Illinois Retina Associates (2013) His research bridges clinical ophthalmology and technology development. Primary interests include: retinal pathophysiology (age-related macular degeneration, diabetic retinopathy), surgical innovation (new instrument design, vitrectomy techniques), AI integration for automated analysis of OCT/fundus images, and tele-ophthalmology frameworks for remote diagnostics. He co-authored Canadian tele-retina screening guidelines and develops deep learning models for lesion segmentation in retinal imaging. Publications emphasize translational applications: 65% focus on surgical outcomes (vitrectomy mechanics, intraocular pressure dynamics), 25% on AI/imaging diagnostics, and 10% on infectious/inflammatory retinopathies. Recent work demonstrates strong convergence of biomechanical modeling (ocular rigidity) and AI-driven image analysis. Awards & Honors: 6× Rhett Buckler Awards (ASRS Film Festival, 2012-2019) for innovative surgical videos ASRS Junior Achievement Award (2015) Dean’s Honour List (McGill 2006, UdeM 2011) Robert Forsyth/Francis Williams Prizes (McGill, 2006) He leads or co-investigates clinical trials (6+ as PI/co-I) and secured CIHR funding for a 5-year project (2022-2026) developing an OCT-controlled subretinal drug injection system for preclinical research. As director of fellowships, he oversees advanced ophthalmology training programs. Affiliations include the Vision Health Research Network (RRSV), emphasizing collaborative retinal research.