Functional programming languages Professors and Supervisors in Canada | ApplySharif

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استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۳۱-۴۵ از ۲۲۱ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Roie Levinمشاهده پروفایل

استادیار

McGill UniversityCanada

Roie Levin is an Assistant Professor at Rutgers University's Department of Computer Science. He received his PhD in Algorithms, Combinatorics and Optimization from Carnegie Mellon University in 2022, advised by Anupam Gupta. Prior to that, he worked at the Allen Institute for Artificial Intelligence (2015-2017) and earned dual BSc degrees in Computer Science/Applied Mathematics and Mathematics from Brown University (2015). Before joining Rutgers, he was a Fulbright Postdoctoral Fellow at Tel Aviv University under Niv Buchbinder. Current Role: Assistant Professor in Computer Science Academic Training: PhD (2022) CMU, BSc (2015) Brown University Postdoctoral: Fulbright Fellow at Tel Aviv University Levin's research focuses on approximation algorithms for uncertain environments (online/dynamic/streaming models) and submodular function optimization. His work spans theoretical foundations and practical implementations across distributed systems, geometric constraints, and reinforcement learning paradigms. Teaching includes graduate and undergraduate algorithms courses (CS 344, CS 513) with emphasis on problem-solving techniques, computational complexity, and modern algorithmic trends. His publications showcase expertise in online algorithms, submodular optimization, and approximation theory with applications in clustering, caching, and machine learning. The 2025 articles demonstrate continued exploration of online consistency and contention resolution, while 2023-2024 works focus on submodular optimization under uncertainty and dynamic environments. Earlier publications (2015-2017) cover semantic parsing, geometric approximation, and planar graph optimization. Fulbright Postdoctoral Fellow Levin's research connects theoretical guarantees with practical implementations, bridging classical algorithm design with modern machine learning applications. His recent work explores primal-dual methods in online settings and robust subspace approximation techniques for streaming data environments.

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Morteza Zihayatمشاهده پروفایل

دانشیار

Toronto Metropolitan UniversityCanada

Morteza Zihayat is an Associate Professor and Canada Research Chair (Tier 2) in Human-Centered Artificial Intelligence at Toronto Metropolitan University. He holds dual appointments in the Faculty of Engineering and Architectural Science (Department of Electrical, Computer, and Biomedical Engineering) and the Ted Rogers School of Management. Additionally, he serves as an Adjunct Professor at the University of Waterloo in Management Sciences and is a Faculty Fellow at IBM's Centre for Advanced Studies. Dr. Zihayat's educational background includes: PhD in Computer Science from York University (2016) MSc in Computer Engineering from University of Tehran (2011) Postdoctoral Research Fellowship at University of Toronto's Faculty of Information (2017) His research lies at the intersection of AI, security, and society with a focus on building fair and transparent AI systems. Dr. Zihayat's expertise spans human-centered AI, fair information retrieval systems, and blockchain-enabled AI infrastructures. His work emphasizes creating AI systems that are accountable and designed to serve the public good, with applications in healthcare, digital media, and social networks. Dr. Zihayat has received numerous accolades including the Canada Research Chair (Tier 2) in Human-Centered AI (2024), Dean's Outstanding Scholarly, Research, and Creative Activity Award (2023), Best Short Paper Award at ECIR (2023), and IBM CAS Faculty Fellowship (2021). His research has attracted over $1.7 million in external funding from agencies such as NSERC, Mitacs, and multiple industry partners including Toronto Transit Commission, The Globe and Mail, AT&T, and IBM. Dr. Zihayat serves as Associate Editor of the Computational Intelligence Journal and is an active reviewer for top-tier venues. He is also Co-director and Co-founder of the Digital Enterprise Analytics and Leadership (DEAL) Research Center.

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Omar Alamمشاهده پروفایل

دانشیار

Trent UniversityCanada

Professor Omar Alam is an Associate Professor in the Department of Computer Science at Trent University. His research focuses on software engineering, particularly Model-Driven Software Engineering, Aspect-Oriented Modelling, and Mining Software Repositories. Prior to Trent, he earned his PhD at McGill University, specializing in Model-Driven Engineering. He has received notable awards such as the ACM SIGSOFT Distinguished Paper Award (2019) and the Merit Award for Excellence in Research (2022). His teaching includes courses like Software Specification (COIS 3030), Software Design and Modeling (COIS 2240), and Software Architecture (COIS 3040). Key grants include the NSERC Discovery Grant (2017-2024) and past fellowships from NSERC and FRQNT. His work spans collaborative modeling, automated grading systems, and empirical studies on developer practices. Research often intersects software development methodologies, tool integration, and socio-technical aspects of computing. His recent publications explore topics like developer workplace communication, transit schedule deviations using real-time data, and three-way domain-specific model differencing. He actively contributes to journals like SoSyM and conferences such as SLE and ICSM. His teaching excellence is recognized through student awards and nominations, reflecting his commitment to pedagogy in computer science education.

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Truman Yangمشاهده پروفایل

دانشیار

Toronto Metropolitan UniversityCanada

Truman Yang is an Associate Professor in the Department of Electrical and Computer Engineering at Toronto Metropolitan University. He holds a Ph.D. in Computer Science from the University of Regina, Canada (2003) and an M.S. in Computer Science from Jilin University, China. His research focuses on cybersecurity, including role-based access control, web security, information flow control, and wireless sensor network security. He is a recipient of the CFI New Opportunities Fund Award (2004). Research Interests: Role-Based Access Control Modeling Web Security Mechanisms Information Flow Control Systems Security in Wireless Sensor Networks His publications span topics such as secure e-commerce frameworks, cryptographic access control protocols, and wireless network security solutions. Beyond research, he teaches courses like Programming Languages (ELE808) and Computer Network Security (EE8213). Advising & Grants: Recipient of CFI funding for security-related research Prior research experience with TRLabs (Telecommunication Research Labs of Regina, 1999–2002) Labs/Teams:曾参与TRLabs的电信研究工作，专注于安全协议开发与网络架构设计。

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Michael Fowlerمشاهده پروفایل

استاد

University of WaterlooCanada

Michael Fowler is a Professor in the Department of Chemical Engineering at the University of Waterloo, cross-appointed to the Department of Mechanical and Mechatronics Engineering. His research focuses on electrochemical power systems, including battery degradation analysis, fuel cell reliability, and clean energy hubs. He leads projects like ChallengeX and EcoCar, developing fuel cell and hybrid vehicles. He teaches CHE 331 (Electrochemical Engineering) and actively supervises graduate students. His work integrates hydrogen economy concepts, renewable energy incentives, and Power-to-Gas energy storage. Key interests span polymer science, interfacial phenomena, and battery thermal management systems. Education: Ph.D. in Chemical and Materials Engineering (2003, Royal Military College of Canada), M.Sc. in Engineering Chemistry (1988, Queen's University), B.Sc. in Fuels and Materials Engineering (1986, Royal Military College of Canada). Research emphasizes modeling fuel cells, battery performance, and electrolyte materials. Recent articles explore lithium-ion battery diagnostics, aluminum-air batteries, and thermal runaway prevention. He collaborates with industries on sustainable energy solutions and advises student teams in green energy systems. His lab focuses on advanced materials for electrochemical systems and energy storage innovations. Current roles include co-faculty supervisor of vehicle design teams and director of the Waterloo Fuel Cell Research Network. He welcomes graduate applications and is involved in developing Canada’s hydrogen transition strategies. His work bridges academic research with practical applications in automotive, renewable energy, and material science sectors.

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Glen Bersethمشاهده پروفایل

دانشیار

University of MontrealCanada

Glen Berseth is an Associate Professor in the Department of Computer Science and Operations Research at the University of Montreal and a Senior Academic Fellow at Mila – Quebec Institute for Artificial Intelligence. He is also a Canada CIFAR Chair in AI and Co-Director of the Montreal Robotics and Integrative AI Laboratory (REAL). His work focuses on reinforcement learning, robotics, and deep learning applied to autonomous systems. He holds a postdoctoral background from Berkeley Artificial Intelligence Research (BAIR), working under Sergey Levine. His research emphasizes real-world applications, including human-robot collaboration, continual learning, and multi-agent systems. He teaches courses on robot learning at the University of Montreal and Mila, covering cutting-edge techniques for general-purpose robots. Key research interests include reinforcement learning for robotics, adaptive interfaces, and sim-to-real transfer. His recent work addresses challenges in autonomous learning systems, such as robust locomotion control and efficient exploration strategies. Notable awards include the Canada CIFAR AI Chair. He has supervised numerous students, including PhD candidates Ozgur Aslan and Siddarth Venkatraman, and Master’s students like Roger Creus-Castanyer and Léa Demeule, focusing on topics like reinforcement learning and robotic control. Berseth leads research projects funded by organizations like the CRSNG, FCI, and MITACS, addressing topics such as modular lifelong learning and generalization in robotics. His lab, REAL, explores embodied AI and robotics integration.

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David Slompمشاهده پروفایل

استاد

University of LethbridgeCanada

Dr. David Slomp serves as Associate Dean of Graduate Studies and Research and Professor in the Faculty of Education at the University of Lethbridge. Previously holding positions at the University of Ottawa and University of Alberta, he specializes in writing assessment and literacy education across educational levels. His leadership includes co-directing the MEd General program in Curriculum and Assessment and serving as Co-Editor-in-Chief of Assessing Writing . His educational background features a Master's degree in Teaching English as a Second Language and a PhD in Secondary Education focused on writing assessment. Key research interests include principled assessment design, ethics and validity in writing evaluation, and writing development across the lifespan. His work critically examines justice, fairness, and equity in literacy assessment practices. Recent publications (2019-2025) demonstrate consistent focus on workplace communication assessment, digital literacy frameworks, and dismantling anti-Black assessment practices. Key trends include sociocognitive construct development, equity-centered design, and big data implications for formative assessment. His scholarship bridges theoretical rigor with practical classroom applications. Dr. Slomp's scientific contributions have been recognized through prestigious awards: Graduate Student Teaching Award, University of Alberta Writing Program Certificate of Excellence, Conference on College Composition and Communication President's Achievement Award, University of Alberta Issak Walton Killam Memorial Scholarship Board of Governor's Teaching Chair, University of Lethbridge As Associate Dean and MEd program co-director, he mentors graduate students and shapes curriculum development. His editorial leadership at Assessing Writing significantly influences global assessment scholarship. Current projects address workplace English communication frameworks and equity-centered design principles through major collaborative research initiatives. Dr. Slomp actively contributes to scholarly communities through editorial work and professional organizations, advancing writing assessment theory and practice globally while addressing contemporary challenges in digital literacy and assessment justice.

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Brian Rossمشاهده پروفایل

استاد

Brock UniversityCanada

Brian Ross is a Professor at the Department of Computer Science, Brock University. He holds a BSc (Hon) from the University of Manitoba, MSc from the University of British Columbia, and PhD in Artificial Intelligence from the University of Edinburgh. His research focuses on evolutionary computation , particularly genetic programming , with applications in computational biology , evolutionary design , and computational aesthetics . Education: BSc Computer Science (Hon), University of Manitoba MSc Computer Science, University of British Columbia PhD Artificial Intelligence, University of Edinburgh Research Interests: Computational Intelligence: genetic programming, evolutionary algorithms, multi-objective optimization Evolutionary Design: computational aesthetics, 2D/3D modeling, energy-efficient architecture Applications: computational biology, stochastic process algebra, GPU-based image analysis Article Trends: His recent work combines deep learning with evolutionary algorithms to enhance diversity in agent behavior and design optimization. Earlier studies focused on stochastic modeling of biological networks and procedural texture generation . Collaborations span computational aesthetics, passive solar architecture, and non-photorealistic rendering techniques. Students & Collaborations: He has supervised diverse projects including evolved intelligent agents , passive solar building design , and evolutionary art systems . Notable students include Marshall Joseph (2023), Tyler Cowan (2021), and Sheikh Faishal Basher (2021).

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Michael Winterمشاهده پروفایل

استاد

Brock UniversityCanada

Michael Winter is a Professor in the Department of Computer Science at Brock University, Canada. He holds a Habilitation from the University of the Federal Armed Forces, Munich (2002), a Ph.D. (Dr. rer. nat.) from the same institution (1998), and a Master of Computer Science (Dipl. Inform.) (1993). His research focuses on programming languages, semantics, program verification, relational methods, category theory, and fuzzy logic. He is the Managing Editor of the Journal on Relational Methods in Computer Science . Winter's academic roles include teaching courses such as COSC 2P05 (Programming Languages), COSC 3P91 (Advanced Object-Oriented Programming), and COSC 5P02 (Logic in Computer Science). He has advised numerous graduate and undergraduate students on topics including fuzzy relational analysis, program verification, and formal methods. His research contributions span over 100 publications in journals and conferences, emphasizing relational algebra, category theory, and their applications in computer science. His work integrates theoretical foundations with practical applications, such as developing tools like RelView for relational computation and exploring applications in ambient intelligence and data visualization. Winter collaborates internationally, contributing to conferences like RAMiCS and publishing in journals like Fuzzy Sets and Systems and Journal of Logical and Algebraic Methods in Programming .

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Craig Leth-Steensenمشاهده پروفایل

دانشیار

Carleton UniversityCanada

Craig Leth-Steensen is an Associate Professor in the Department of Psychology at Carleton University, affiliated with the Faculty of Arts and Social Sciences. He holds a Ph.D. from McGill University. His research focuses on cognitive psychology, particularly the application of quantitative methods and computational models (e.g., neural networks, random walks) to analyze human cognitive performance, reaction time distributions, and symbolic comparative judgments. Recent interests include early childhood cognitive development and interventions through programs like PlayWisely. His work spans experimental psychology and psychometrics, with key contributions to reaction time analysis, spatial-numerical associations (SNARC effect), and task-switching dynamics. He has published widely in journals like Psychological Review , Journal of Experimental Psychology , and Frontiers in Psychology . Dr. Leth-Steensen has no listed awards but has collaborated with institutions globally. His research emphasizes methodological rigor, integrating statistical techniques with experimental designs to explore information processing and decision-making mechanisms.

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Ahmad Abdel Latifمشاهده پروفایل

استادیار

University of CalgaryCanada

Dr. Ahmad Abdel Latif is an Assistant Professor in the Department of Electrical and Software Engineering at the University of Calgary. Previously, he served as a postdoctoral researcher at DASLab, Concordia University, and earned his Ph.D. in Software Engineering from Concordia under Dr. Emad Shihab. His master’s degree was obtained from King Fahd University of Petroleum and Minerals (KFUPM). His research focuses on software engineering advancements in artificial intelligence, including chatbots, software quality, and mining software repositories. Notable projects include analyzing dependency ecosystems (e.g., NPM, Maven) for security risks, developing AI-driven chatbots for code repositories, and exploring machine learning model management challenges. He also investigates ethical implications of AI-generated code and open-source collaboration dynamics. Dr. Latif teaches ENSF 381: Full Stack Web Development and actively publishes on topics such as vulnerability mitigation, LLM-based chatbots, and software bot detection. His work bridges technical innovation with practical applications in cybersecurity, open-source ecosystems, and AI integration.

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Deanna Williamsonمشاهده پروفایل

دانشیار

University of AlbertaCanada

Dr. Deanna Williamson is an Associate Professor in the Department of Human Ecology at the University of Alberta, within the Faculty of Agricultural, Life and Environmental Sciences. Her research focuses on family well-being, particularly examining how social, economic, and political conditions influence family functioning in diverse populations. She leads a critical ethnographic project exploring family processes among families with young children facing socioeconomic challenges and ethno-cultural diversity. Williamson has secured significant grants, including a SSHRC grant (2013–2018) totaling $489,000 and a Teaching Enhancement Fund grant for field supervisor engagement in practicum programs. Her work critiques welfare-to-work policies and their impacts on low-income families, emphasizing health inequities, child development, and systemic marginalization. She collaborates with interdisciplinary teams and has contributed to randomized controlled trials evaluating service integration approaches for disadvantaged families. Williamson actively supervises graduate students researching topics like urban Indigenous family dynamics, disability-inclusive family processes, and poverty reduction strategies. Publications span themes such as work-life balance, maternal employment effects, policy fragmentation, and cross-cultural research methodologies. She advocates for participatory approaches in community-based research, particularly with immigrant/refugee populations, ensuring marginalized voices inform policy and practice. Williamson’s scholarship bridges academic research with actionable insights for social and health systems reform.

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Mahmoud Alfadelمشاهده پروفایل

استادیار

University of CalgaryCanada

Mahmoud Alfadel is an Assistant Professor in the Department of Computer Science at the University of Calgary, Faculty of Science. His research focuses on software ecosystems, build systems, security vulnerabilities, and mining software repositories. He holds a PhD in Software Engineering from Concordia University (2021), an M.S. from KFUPM (2017), and a B.S. from Damascus University (2013). Education: Bachelor of Science in Information Technology, Damascus University (2013) Master of Science in Software Engineering, King Fahd University of Petroleum and Minerals (KFUPM, 2017) Doctor of Philosophy (Ph.D.) in Software Engineering, Concordia University (2021) His research emphasizes empirical studies in DevOps practices, continuous integration, and software security. Recent work explores vulnerability lifecycle analysis in Golang, fuzz testing adoption in open-source projects, and dependency-induced waste in CI pipelines. His publications reflect a focus on improving software quality and security through automated tools and empirical analysis. Awards and Grants: No specific awards or grants are listed in the profile. His work is supported through empirical studies and academic collaborations. Advising and Labs: No student advisees or specific lab affiliations are noted in the provided materials. His research is likely conducted through collaborative projects with students and industry partners.

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Radhakrishnan Mahadevanمشاهده پروفایل

استاد

University of TorontoCanada

Radhakrishnan Mahadevan is Professor and Canada Research Chair (Tier 1) in Metabolic Systems Engineering at the University of Toronto's Faculty of Applied Science and Engineering, Department of Chemical Engineering & Applied Chemistry. He serves as Acting Associate Chair for Undergraduate Curriculum Development and leads the Laboratory for Metabolic Systems Engineering and BioZone Centre for Applied Bioscience and Bioengineering. Education: B.Tech., Indian Institute of Technology (Madras) Ph.D., University of Delaware His research integrates machine learning with metabolic engineering to address challenges in industrial biotechnology, environmental sustainability, and biomedical applications. Current projects include AI-assisted biocatalyst engineering, bioengineering mine tailings for nickel extraction, and hybrid metabolic engineering approaches. His work spans genome-scale modeling, synthetic biology for dynamic metabolic control, and development of therapeutic probiotics for inflammatory diseases. Recent publications reveal a strong trend toward machine learning integration in enzyme engineering and metabolic model optimization, with applications spanning biofuels, biochemicals, and personalized medicine. The research demonstrates increasing focus on multi-scale modeling from molecular interactions to bioreactor systems. Scientific Awards: Canada Research Chair (Tier 1) in Metabolic Systems Engineering Professor Mahadevan actively mentors 19 graduate students including 15 PhD candidates and 4 Master's students, with ongoing recruitment for new projects. His research is supported through the Canada Research Chair program and industry collaborations focused on bioprocess optimization and synthetic biology applications. He directs the Laboratory for Metabolic Systems Engineering, which employs robotic platforms for automated cell engineering and maintains collaborations with industrial partners. The lab's multi-disciplinary team includes research scientists, postdoctoral fellows, and students working across computational and experimental domains.

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Juan Abellóمشاهده پروفایل

دانشیار

University of British ColumbiaCanada

Juan Abelló is an Associate Professor of Teaching in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science. He serves as Program Chair for the Applied Science stream at Vantage College, UBC's first-year program integrating English language support with engineering content. With industry experience and a Cornell PhD, he brings practical applications to student learning through active methodologies. His educational background includes: B.S. from Cornell University M.S. from Cornell University Ph.D. from Cornell University He is a Professional Engineer (P.Eng.) and member of CEEA and Tau Beta Pi (TBP). Dr. Abelló's research centers on engineering education innovation, with emphasis on systemic functional linguistics in design pedagogy, academic buoyancy, and student wellness. His work investigates motivation in engineering career choice and integrates mental health literacy into technical curricula. Earlier research focused on rotorcraft aerodynamics and aeroacoustics, particularly blade-vortex interaction noise reduction through wake displacement modifications. Analysis of his 15 most recent publications (2018-2024) reveals a decisive shift from aerospace engineering to educational scholarship. Recent work dominates in engineering education (93% of publications), with concentrated focus on student wellness interventions, academic buoyancy metrics, and active learning techniques like self-paced modules and role-playing exercises. Only historical publications (pre-2018) address rotorcraft noise reduction. His scientific recognition includes: Killam Teaching Prize, University of British Columbia (2022) As Educational Leadership team member, Dr. Abelló transformed second-year engineering software instruction into self-paced modules with classroom support, enabling personalized learning while maintaining instructor accessibility. He pioneered embedding mental health literacy components into Mech 2 and Vantage College courses, conducting longitudinal studies on academic buoyancy. His grant-supported work focuses on evidence-based curriculum development, student wellness integration, and open educational resources, with findings presented at CEEA and ASEE conferences. He collaborates with the Mechanical Engineering Educational Leadership team and Vantage College faculty on initiatives including the Applied Science stream curriculum, wellness-integrated pedagogy, and mental health literacy frameworks for engineering students.

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