Find Academic Supervisors

Matthias SchonlauView profile

Professor

• Survey Methodology
• Natural Language Processing
• Data Visualization
• +3 more

Matthias Schonlau is a Professor in the Department of Statistics at the University of Waterloo. He previously worked as a statistician at the RAND Corporation (1999-2011), where he led the RAND Statistical Consulting Service. He holds a PhD from the University of Waterloo (1997) and a Master's from Queen's University (1993). His research focuses on survey methodology, natural language processing for open-ended questions, data visualization, and statistical software development. Key contributions include the Hammock Plot for mixed data visualization and automated classification algorithms for open-ended survey responses. His work spans algorithmic innovation (e.g., occupation coding, multi-label classification) and statistical software tools (e.g., HAMMOCK and RFOREST modules for Stata). Recent projects address semi-automated classification, one-shot learning, and text dataset distillation. He has held sabbaticals at the University of Auckland (2015-2016) and DIW Berlin (2009-2010), collaborating with the Max Planck Institute. Major awards include the Humboldt Research Prize (2022) and ASA Fellowship. His publications emphasize bridging statistical methods with practical applications, including books like Applied Statistical Learning (2023) and peer-reviewed articles in computational statistics and machine learning.

Ryan RiordanView profile

Professor

• Climate Finance
• High-Frequency Trading
• Financial Technology
• +3 more

Ryan Riordan is a Professor of Finance at Queen’s University’s Smith School of Business, holding dual roles as Research Director of the Institute for Sustainable Finance and Head of the Institute of Financial Innovation and Technology at Ludwig-Maximilians University in Munich. He specializes in financial technology, climate finance, and high-frequency trading systems. His research examines technology’s dual role in stabilizing markets versus exacerbating instability through misapplication. Academically, he holds a PhD (summa cum laude) from Karlsruhe Institute of Technology and MBA/Commerce degrees from Carleton University. Prior to academia, he worked as a trader and risk manager at HSBC in Germany. Research interests focus on: 1) Climate finance’s impact on asset pricing and liquidity, 2) High-frequency trading’s role in market quality, and 3) Cryptocurrency liquidity dynamics. His work appears in top journals like the Journal of Finance and Review of Financial Studies . Notable awards include the Bank of Canada Governor’s Award ($60K grant), Michael J. Brennan Best Paper Award ($20K prize), and multiple SSHRC grants. He advises PhD students like Saad Khan and collaborates with institutions like the Bank for International Settlements. Teaching includes Financial Technology and Innovation courses at MBA/PhD levels. He founded Smith’s Master of Financial Innovation and Technology program. Current research projects address automated lending ethics, carbon risk assessment, and financial infrastructure security.

Hamed SamarghandiView profile

Professor

• Supply Chain Management
• Operations Research
• Healthcare Optimization
• +5 more

Hamed Samarghandi is a Professor of Management Science and Edwards Enhancement Chair in Business at the Edwards School of Business, University of Saskatchewan. He is also an Associate Member of the Department of Mathematics and Statistics. He holds a BSc (2006) and MSc (2008) in Industrial Engineering from Amirkabir University of Technology and Sharif University of Technology, Tehran, Iran, respectively, and a PhD in Mechanical and Manufacturing Engineering from the University of Manitoba (2013). His research focuses on supply chain management, healthcare optimization, operations research, and international trade policy. He teaches courses in Business Forecasting and Supply Chain Management. His research explores topics such as supply chain resilience, stochastic optimization, energy hub modeling, and patient scheduling in healthcare. Recent publications address trade agreements’ impacts, green supply chain strategies, and financial software learning rate predictions. He advises students in supply chain management, healthcare optimization, and transportation management, requiring strong analytical and coding skills. No scientific awards are explicitly mentioned in the text.

Houari SahraouiView profile

Professor

• Software Engineering
• Automated Software Engineering
• Model-Driven Engineering
• +5 more

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.

• Work and Organizational Psychology
• Workplace Empowerment
• Personality
• +4 more

Professeur titulaire at the Université de Montréal's Department of Psychology within the Faculty of Arts and Sciences. Specializes in work and organizational psychology, focusing on psychological empowerment, personality dynamics, and the impact of AI on labor. Conducts research on employee well-being, leadership styles, and adaptive performance in evolving workplace environments. Supervises numerous doctoral and postgraduate research projects addressing feedback mechanisms, leadership effectiveness, and psychological health in organizations. Education: Advanced training in psychology, with a focus on organizational and clinical applications. Academic qualifications consistent with full professorship in Canadian university system. Research Interests: Explores transformational leadership, workplace empowerment, and the psychological impacts of modern work environments. Recent work emphasizes AI integration in jobs and employee resilience strategies. Grants & Projects: Leads CRSH-funded projects on adaptive performance measurement and empowerment leadership (2025-2029), MITACS initiatives on psychometric assessment tools, and exploratory research on cognitive flexibility in job roles. Labs/Teams: Collaborates with CRIR (Center for Interdisciplinary Rehabilitation Research) and CERNEC (Center for Neuropsychology Research) on applied workplace psychology studies.

Wei WangView profile

Assistant Professor

• Leadership
• Business Ethics
• Organizational Behavior
• +3 more

Wei Wang is an Assistant Professor and The Associates Fellow in Leadership and Ethics at the Business Administration Department, Asper School of Business, University of Manitoba. His research focuses on leadership dynamics and ethics in the workplace, employing mixed-method approaches. He has been recognized with the 2019 Society of Business Ethics Emerging Scholar Award and the 2022 Anne Tsui Dare to Care Research Award for impactful work on employee well-being. His teaching expertise spans organizational behavior, negotiation, and business ethics. He leads the GLOW Lab, advancing research in leadership and ethical workplace practices. Key research interests include ethical leadership, workplace mistreatment, and the behavioral consequences of deviant coworker behaviors. His work has been published in leading journals such as Journal of Applied Psychology and Journal of Management . Beyond academia, he enjoys outdoor activities, running, and travel. Awards include the 2019 Emerging Scholar Award for contributions to business ethics and the 2022 Dare to Care Award for research prioritizing employee welfare. His lab, the GLOW Lab, drives innovative studies in leadership and ethical organizational practices.

William N. SumnerView profile

Associate Professor

• Automated Debugging
• Concurrency & Parallelism
• Program Analysis & Transformation
• +3 more

William N. Sumner is an Associate Professor and Associate Director, Academic and Administration in the School of Computing Science at Simon Fraser University. He holds a Ph.D. in Computer Science from Purdue University (2013) and a B.Sc. in Computer Science from Hope College (2005). His research focuses on automated debugging tools, concurrency, parallelism, program analysis, and software quality. He teaches courses such as Software Development Methods, Software Testing, and Automated Software Analysis. Sumner actively recruits graduate and undergraduate students for research in improving software development processes through automation. His work emphasizes reducing repetitive tasks in software development using techniques like test case reduction and program analysis. Education: Ph.D., Computer Science, Purdue University, 2013 B.Sc., Computer Science, Hope College, 2005 Research Interests: Sumner’s research addresses challenges in software development automation, including automated debugging, test suite assessment, and program hardening. He develops tools like Pardis to optimize test case reduction and improve software reliability. His work intersects with concurrency, parallelism, and program transformation to enhance developer productivity and software quality. Recent Contributions: Recent publications include advancements in type batched program reduction (2023) and leveraging models for test case reduction in software repositories (2021). His Pardis framework (2019) improves test case reduction efficiency by addressing priority inversion in structured inputs. Teaching & Engagement: Sumner teaches courses such as CMPT 373 (Software Development Methods), CMPT 473 (Software Testing), and CMPT 479 (Automated Software Analysis). He emphasizes hands-on projects, such as the Geotagged Meeting Planner in CMPT 276, focusing on teamwork, agile methodologies, and software engineering best practices.

K. W. Michael SiuView profile

Researcher

• Electric Vehicle Technology
• Green Energy
• Mass Spectrometry
• +3 more

K. W. Michael Siu is a researcher at the University of Windsor, serving as Vice President of Research and Innovation. He is affiliated with the Centre for Hybrid Automotive Research and Green Energy, focusing on electric vehicle technology and green energy systems. His work also extends to proteomics and biomolecular chemistry, including studies on peptide radical cations and targeted protein degradation. He has played an instrumental role in fostering interdisciplinary research collaborations, such as the Entrepreneurship Practice and Innovation Centre (EPICentre). His research interests span environmental chemistry, mass spectrometry, and cancer biomarker discovery. Notable contributions include advancements in phosphoproteome profiling and drug development strategies for cancer therapy. As a leader in research administration, Dr. Siu has overseen initiatives like the Lancer Sport and Recreation Centre and supported academic partnerships, including student exchange programs with institutions like KU Leuven. His interdisciplinary approach bridges engineering, biology, and chemistry, with publications covering topics from automotive innovation to molecular mechanisms in diseases. His work emphasizes sustainable technology and precision medicine, contributing to both academic and industrial advancements.

• Artificial Intelligence
• Multi-Agent Systems
• Preference Elicitation
• +6 more

Scott Buffett is an Adjunct Professor at the Faculty of Computer Science, University of New Brunswick, and an Associate Research Officer at the National Research Council Canada (NRC), working in the Learning and Collaborative Technologies Group under the Information and Communications Technology Portfolio. He holds a PhD in Computer Science from the University of New Brunswick (UNB). His primary research focus is on artificial intelligence, particularly multi-agent systems, preference elicitation, workflow/process mining, and social commerce. He has developed systems like OmniBid, which demonstrates mechanism design for automated negotiations that balance individual utility and societal welfare. His work extends to privacy in e-commerce, data mining, and machine learning. Education: PhD (UNB), MSc in Automated Theorem Proving. Current teaching includes MBA courses in Production and Operations Management and Social Network Analysis. Past courses include Decision-Theoretic Agents and FORTRAN Programming. He supervises graduate students in preference modeling, negotiation systems, and workflow analytics. His research has been published extensively in conferences like CAI, ICEC, and journals like Electronic Commerce Research and Applications. He is active in collaborative technologies and data-driven process optimization. Research Interests: Multi-Agent Systems: Negotiation mechanisms, utility theory, and societal welfare optimization. Preference Elicitation: Techniques for extracting user preferences with minimal intrusion, including Bayesian methods and clustering. Workflow Mining: Dynamic process modeling for real-time guidance in industries like manufacturing and energy. Social Commerce: Analyzing social network effects on commercial interactions using network analysis techniques. Privacy and Data Analytics: Frameworks for privacy compliance in collaborative environments and energy management systems. Publications: Over 30 peer-reviewed articles, including work on automated negotiation, process mining theory, and preference network adaptation. Recent focus on dynamic process composition and socially aware commerce systems.

Waguih ElMaraghyView profile

Professor

• Manufacturing Engineering
• Industrial Engineering
• Systems Engineering
• +3 more

Waguih ElMaraghy is a Professor at the University of Windsor's Faculty of Engineering, specializing in the Department of Mechanical, Automotive, and Materials Engineering. He is a renowned academic with notable contributions to manufacturing systems, reconfigurable robotics, and Industry 4.0 technologies. ElMaraghy holds prestigious fellowships from the Canadian Academy of Engineering and the Society of Manufacturing Engineers (SME), and actively serves on professional boards like the Canadian Engineering Accreditation Board. His research focuses on advanced manufacturing paradigms, including digital twin frameworks, supply chain resilience, and cognitive manufacturing systems. He has pioneered work on adaptable assembly lines and fault detection systems, integrating machine learning into manufacturing processes. His cross-disciplinary efforts extend to biomedical applications, such as using deep learning for breast cancer biomarker identification. ElMaraghy has been honored for over three decades of volunteer service to Professional Engineers Ontario and the American Society of Mechanical Engineers (ASME). His work on sustainable supply networks and reconfigurable machinery has shaped modern industrial practices, particularly in automotive framing systems for vehicles like GO trains. Awards: Ontario Volunteer Service Award, SME College of Fellows, Canadian Academy of Engineering Fellow Key Roles: Former Head of Industrial and Manufacturing Systems Engineering, Board Member of Canadian Engineering Accreditation Research Themes: Industry 4.0, Digital Twins, Supply Chain Resilience, Biomedical Applications of AI

Laura SanitàView profile

Associate Professor

• Combinatorial Optimization
• Approximation Algorithms
• Network Design
• +3 more

Laura Sanità is an Associate Professor in the Department of Computing Sciences at Bocconi University, Milan, Italy. Previously, she held positions at TU Eindhoven (2020–2022) and the University of Waterloo, Canada, where she was an Assistant Professor (2012–2017) and later Associate Professor (2017–2020). She earned a Bachelor’s and Master’s in Management Engineering from Università di Roma Tor Vergata (2003–2005), followed by a PhD in Operations Research from Università Sapienza di Roma (2009). Her postdoctoral work (2009–2011) was at EPFL’s Discrete Optimization Group. Her research focuses on Combinatorial Optimization , Approximation Algorithms , Network Design , and Algorithmic Game Theory . Key contributions include advancements in node connectivity augmentation, graph stabilization, and polytope diameter analysis. She has received prestigious awards such as the NWO-VIDI Award (Netherlands), NSERC Discovery Accelerator Supplements, and the Early Researcher Award (Ontario). Laura co-organizes the Bocconi Theory Day (May 2024) and serves on program committees for conferences like SODA, ESA, and IPCO. She is an Associate Editor for Mathematical Programming , Mathematics of Operations Research , and Operations Research Letters . Current advisees include PhD students Sean Kafer, Dylan Hyatt-Denesik, and Lucy Verbeck. Her work bridges theoretical foundations and practical applications, with notable publications in Mathematical Programming , SIAM Journal on Optimization , and Operations Research . Recent projects explore stabilization of capacitated matching games and iterative randomized rounding techniques for combinatorial problems.

Apparao DekkaView profile

Assistant Professor

• High-Power Converters
• Medium-Voltage Drives
• Renewable Energy Systems
• +3 more

Dr. Apparao Dekka is an Assistant Professor in the Department of Electrical Engineering at Lakehead University, Canada. He holds a B.Tech. from Jawaharlal Nehru Technological University, an M.Tech. from IIT Bombay, and a Ph.D. from Ryerson University. His research focuses on high-power converters, medium-voltage drives, renewable energy systems, and electrified transportation. He has published over 75 peer-reviewed papers and authored/co-authored a Wiley-IEEE book on Modular Multilevel Converters. Dr. Dekka has held roles as a Research Engineer at Khalifa University (2010–2012), Post-Doctoral Research Fellow at Ryerson University (2017–2019), and Research Associate at McMaster University (2017–2019). His awards include the IEEE Transactions on Power Electronics Outstanding Reviewer Award (2022, 2015), the IET Electric Power Applications Premium Award (2019), and the 2023 Lakehead University Teaching Award. Research Team: Leads projects on converter design, renewable energy integration, and advanced digital control methods. Labs/Teams: Collaborates with labs focused on electric drive applications and power electronics infrastructure. Grants: Secured funding through the Ontario Research Fund - Research Infrastructure Program.

• Geophysics
• Inverse Theory
• Data Science
• +6 more

Lindsey Heagy is an Assistant Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia (UBC), Faculty of Science. Her research focuses on inverse theory, machine learning, and geophysical data analysis, with applications in mineral exploration, carbon sequestration, and groundwater systems. She leads a group developing open-source software like SimPEG for geophysical simulations and inversions, alongside GeoSci.xyz for geoscience education resources. Key research areas include geophysical inversions of electromagnetic and potential field data, detection of unexploded ordnance (UXO) using machine learning, and collaboration with industry partners on carbon sequestration projects. Heagy actively recruits graduate students and postdoctoral researchers, emphasizing interdisciplinary approaches to geophysical challenges. Her work emphasizes open science practices, with contributions to open-source tools for data processing and reproducible workflows in geophysics. Recent publications highlight advancements in electromagnetic modeling, magnetic vector inversion, and the integration of neural networks in geophysical parameterization. Her lab's projects often involve large-scale datasets and cutting-edge computational methods, reflecting a commitment to both theoretical innovation and practical applications in environmental and resource geoscience.

Ronald GarciaView profile

Associate Professor

• Programming Languages
• Gradual Typing
• Type Systems
• +6 more

Ronald Garcia is an Associate Professor in the Department of Computer Science at the University of British Columbia, affiliated with the Faculty of Science and the Software Practices Lab. His research focuses on programming language theory, emphasizing gradual typing, type systems, and end-user programming. He teaches courses such as Programming Language Principles (CPSC 509) and Compiler Construction (CPSC 411). Education details are not explicitly stated in the provided texts, but his extensive academic contributions span over two decades. Research interests include formal semantics of programming languages, typestate systems, dependent types, and improving software practices for end-users. He has advised numerous Ph.D. and Master's students, contributing to over 30 academic publications. Recent work explores hybrid programming environments for end-users, runtime type slicing for debugging, and foundational frameworks for gradual dependent types. Garcia actively participates in academic conferences as a PC member and keynote speaker, notably in PLDI, POPL, and ICFP. His lab and collaborations focus on advancing theoretical foundations while addressing practical challenges in software development and education.

Reid HolmesView profile

Professor

• Software Engineering
• End-user Programming
• Software Maintenance
• +3 more

Reid Holmes is a Professor in the Department of Computer Science at the University of British Columbia , part of the Faculty of Science . His research focuses on improving software engineering practices, particularly in end-user programming, developer tool design, and empirical software engineering. He leads the Software Practices Lab and has contributed extensively to understanding developer workflows, testing methodologies, and educational tools for programming. Education: PhD in Computer Science, University of Calgary (2008) MSc in Computer Science, University of British Columbia (2004) BSc in Computer Science, University of British Columbia (2002) Research Interests: End-user programming environments, software testing, developer productivity tools, human-centered AI, educational technology, and empirical studies on software development practices. His work emphasizes bridging the gap between theoretical advancements and practical usability for both professional developers and novice programmers. Recent Article Trends: Focus on hybrid programming environments (e.g., block-based and graph-based systems), human-AI collaboration in testing/assertion generation, and age-inclusive IDE design. His research often involves empirical evaluations of tool effectiveness and developer workflows. Awards: FSE Most Influential Paper Award ICSE Most Influential Paper Award UBC Computer Science Teaching Award CS-Can/Info-Can Outstanding Research Prize Advising & Grants: Supervised over 30 graduate students and postdocs. Noted for collaborative projects with industry partners (e.g., Mozilla, Microsoft). Active in curriculum development for software engineering education. Labs/Teams: Leader of the Software Practices Lab , collaborating with industry and academic partners on tools like CodeShovel , AutoAssert , and Devy (conversational developer assistant).