جست‌وجوی استاد و پژوهشگر

• Communications and Media Policy
• Curriculum and Pedagogy
• Sociology of Media
• +۳ مورد دیگر

David Andrew Young serves as an Assistant Professor in the Department of Sociology at McMaster University, Hamilton, Ontario, with teaching responsibilities extending through 2025 across core sociology curricula including Media and Power (SOCIOL 2WW3) and Classical/Contemporary Theory courses. His academic credentials include: Bachelor of Arts (Honours) in Sociology from Queen's University, Kingston Master of Arts in Sociology from Queen's University, Kingston PhD in Sociology from McMaster University Young's research program critically examines communications and media policy with emphasis on Canadian cultural sovereignty, notably through analyses of Juno Awards dynamics, Canadian content regulations, and state-media interactions. His parallel work in curriculum development addresses pedagogical challenges in large undergraduate classrooms, reflecting his dual commitment to media sociology and educational innovation. Publications consistently explore intersections between cultural policy, national identity, and media institutions within Canadian contexts. His 15 publications (1999-2018) demonstrate evolving focus from historical analyses of Canadian publishing to contemporary studies of music industry regulation and media representations of national unity, with recent work increasingly addressing pedagogical applications in sociology education. Key thematic threads include institutional power in cultural production and comparative policy frameworks. No scientific awards are documented in the available institutional records. Student advising details remain unspecified in public profiles, though his extensive teaching record across 15+ course iterations since 2017 indicates significant mentorship capacity. Research grant activity appears unrecorded in McMaster's VIVO database per current system data. No dedicated laboratories or research collectives are associated with Dr. Young's profile, though his work engages interdisciplinary collaborations visible through co-author networks in media policy scholarship.

Vanessa Auldمشاهده پروفایل

استاد

• Cell Biology
• Developmental Biology
• Neuroscience
• +۶ مورد دیگر

Vanessa Auld is a Professor in the Department of Zoology at the University of British Columbia's Faculty of Science. She conducts her research at the Life Sciences Institute (LSI 3358) where she leads the Auld Lab, which focuses on understanding the development and function of glial cells in the nervous system using Drosophila melanogaster as a model organism. Dr. Auld received her B.Sc. in Microbiology from the University of British Columbia and completed her Ph.D. in Medical Genetics at the University of Toronto. Dr. Auld's research program investigates the critical roles that glia play in nervous system development and function. Her lab examines how glial cells wrap, insulate, and protect the nervous system, with particular focus on three key questions: (1) What mechanisms drive glial cells to ensheathe/wrap their associated axons? (2) What proteins allow for the formation of the glial-based blood-brain barrier? (3) How do the glial layers interact with each other and the overlying extracellular matrix to support peripheral nerve sheath integrity? Her research has revealed significant parallels between Drosophila and vertebrate glia, demonstrating that disruptions in glial development can lead to loss of nervous system function, neurodegeneration, and death. Dr. Auld's recent publications reflect her ongoing investigation into glial biology, with particular emphasis on tricellular junction formation, glia-ECM interactions, and the molecular mechanisms underlying axon ensheathment. Her work spans cell biology, developmental biology, and neuroscience, with applications to understanding human neurological disorders. She has developed numerous methodological approaches for studying Drosophila nervous system development, contributing significantly to the field's technical capabilities. Dr. Auld has mentored numerous graduate students and postdoctoral fellows throughout her career. Her lab is committed to creating an inclusive research environment that values and welcomes people from diverse backgrounds and is dedicated to supporting members from groups underrepresented in the sciences. The Auld Lab is situated within the collaborative, multidisciplinary research environment of the Life Sciences Institute at UBC Vancouver. The lab acknowledges that they work on the traditional, ancestral, and unceded territory of the xʷməθkʷəy̓əm (Musqueam) people.

Hao Yuمشاهده پروفایل

استاد

• Statistical Computing
• Parallel Programming
• Financial Time Series
• +۴ مورد دیگر

Hao Yu is a full-time Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario . Holding a Ph.D. from Carleton University (1993), he specializes in statistical computing, financial time series analysis, and stochastic modeling. Educational Background Ph.D., Carleton University (1993) Research Interests focus on computational statistics, time series analysis, and probabilistic modeling. His work includes developing statistical algorithms for financial applications ( NSERC-funded 2013–2018) and theoretical advancements in residual analysis for ARMA/GARCH models. Academic Contributions include co-developing R packages for time series analysis, advancing maximum likelihood unit root tests, and creating novel methods for heavy-tailed risk factor simulation in finance. His research intersects computational methodology with financial applications. Scientific Awards are not explicitly mentioned in the provided text. Advising notable students: Yifan Li (PhD) Xixian Liu (MSc Financial Mathematics) Xiyang Zhang (MSc Thesis Track in Statistical Sciences)

• Formal Methods
• Relational Algebra
• Term Graph Rewriting
• +۴ مورد دیگر

Professor Wolfram Kahl is a faculty member in the Department of Computing and Software at McMaster University . He has served as an instructor for courses such as Logical Reasoning for Computer Science , Formal Specification Techniques , and Certified Programming with Dependent Types , reflecting his expertise in formal methods and educational technologies. Research Interests : His work focuses on Relational algebraic approaches to software verification Term graph rewriting systems Haskell-based tool development for formal specification Category theory applications in computer science Interactive learning tools for discrete mathematics Parallel and distributed system modeling Publication Trends : Over the last decade, his publications have concentrated on formal verification techniques, graph transformation systems, and educational tool development. Notable works include mechanized relational algebraic proofs, parallel multicore verification frameworks, and contributions to Haskell module design for type class systems. Collaborations : Professor Kahl has collaborated extensively with researchers like Christopher Anand, Jacques Carette, and Alan Wassyng, and has contributed to major conferences including Relational and Algebraic Methods in Computer Science (RAMiCS) .

Oheróhskon Ryan DeCaireمشاهده پروفایل

دانشیار

• Applied Linguistics
• Language Acquisition
• Language Documentation
• +۵ مورد دیگر

Oheróhskon Ryan DeCaire is an Associate Professor in the Department of Linguistics and is cross-appointed to the Centre for Indigenous Studies at the University of Toronto. In parallel, he is a PhD student in the Hawaiian and Indigenous Language and Culture Revitalization Program at the University of Hawai‘i at Hilo. Research Interests His scholarship is anchored in applied linguistics with a focus on Indigenous-language revitalization. He works extensively on the documentation, acquisition, and pedagogical transmission of Kanien’kéha (Mohawk) and other Iroquoian languages, while also advancing community-based food-sovereignty initiatives that link language renewal to land-based practices. Community Engagement & Labs Beyond the university, DeCaire serves as an immersion instructor and curriculum developer at Onkwawén:na Kentyóhkwa and coordinates the community food initiative Tsi Tewaienthò:tha’ “Where We Plant,” which integrates Haudenosaunee knowledge systems with sustainable food production.

David R. Cloughمشاهده پروفایل

استادیار

• Organizational Behavior
• Human Resources
• Entrepreneurship
• +۱ مورد دیگر

David R. Clough serves as an Assistant Professor in the Organizational Behaviour and Human Resources Division and the Entrepreneurship and Innovation Group at the University of British Columbia's Sauder School of Business. His research program centers on organizational behavior, human resources management, entrepreneurship, and innovation. Dr. Clough investigates how organizations can effectively manage their human capital and create environments that foster innovation and adaptability in rapidly changing business landscapes. Dr. Clough's notable publication draws parallels between metaverse development and the historical urban planning of the Las Vegas Strip. His research examines coordination challenges in building complex interconnected systems, with insights applicable to both technology development and organizational strategy.

Maryam Mehri Dehnaviمشاهده پروفایل

دانشیار

• High-Performance Computing
• Cloud Computing
• Machine Learning
• +۳ مورد دیگر

Maryam Mehri Dehnavi is an Associate Professor of Computer Science at the University of Toronto and a Principal Research Scientist at NVIDIA. She holds the Canada Research Chair in Parallel and Distributed Computing. Her research group, ParaMathics, focuses on scalable numerical methods, high-performance libraries, and compilers for cloud and parallel computing platforms. Her research interests span cloud computing, machine learning, numerical analysis, and compiler optimization. She has been recognized with awards including the Ontario Early Researcher Award (2021) and an NSF CRII grant. She has advised numerous students, many of whom have achieved notable academic and industry roles. Teaching: Applied Parallel Computing, Parallel Computing, Cloud Computing Leadership Roles: General Chair of PPOPP 2023, Keynote Speaker at SIAM PP 2024 Labs/Teams: ParaMathics Research Group Her work bridges theoretical advances in numerical methods with practical applications in high-performance computing, emphasizing efficiency and scalability across diverse architectures.

Nandita Vijaykumarمشاهده پروفایل

استادیار

• Computer Architecture
• Compilers
• Systems
• +۵ مورد دیگر

Nandita Vijaykumar is an Assistant Professor in the Computer Science Department at the University of Toronto and the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough. She leads the embARC Research Group, affiliated with the Vector Institute and Robotics Institute. Her work focuses on computer architecture, compilers, and systems, with a particular emphasis on the interplay between programming models, systems, and architectures. She holds a Ph.D. and M.S. from Carnegie Mellon University (2019), advised by Prof. Onur Mutlu and Prof. Phil Gibbons. She has held roles at Intel Labs, AMD, Microsoft, and Nvidia, and was a visiting student at ETH Zurich's Systems Group. Her research bridges computer architecture/systems with robotics, computer vision, and deep learning. Key projects include optimizing GPU algorithms, differential privacy in hardware, and 3D neural graphics. She mentors over 30 graduate and undergraduate students across Ph.D., MSc, and internship programs, fostering innovation in distributed systems and machine learning infrastructure. Nandita’s recent publications address challenges in differentiable rendering, distributed robotics, and energy-efficient computing. Her work on frameworks like DPWatch and DiffusionRenderer highlights her contributions to privacy-aware hardware and neural rendering. Collaborations with industry and academic institutions underscore her commitment to practical, cross-disciplinary solutions.

Christopher Beckمشاهده پروفایل

استاد

• Optimization
• Constraint Programming
• Heuristic Search
• +۳ مورد دیگر

J. Christopher Beck is a Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. He holds a PhD in Computer Science from the University of Toronto (1999), focusing on knowledge-based heuristic search algorithms. His research integrates optimization, constraint programming, and scheduling, with applications in manufacturing, healthcare, and artificial intelligence. **Research Interests**: Optimization, heuristic search, constraint programming, scheduling, hybrid algorithms, dynamic and uncertain problems, problem modeling. His work emphasizes combining mixed-integer programming and constraint programming, optimization under uncertainty, and multi-agent negotiation for combinatorial problems. **Recent Focus**: Recent articles emphasize reinforcement learning, quadratic traveling salesman problems, multicommodity flows, and domain-independent dynamic programming. His work bridges theoretical advances with practical applications in healthcare scheduling, quantum computing, and robotic task planning. **Affiliations**: Director of the Toronto Intelligent Decision Engineering Laboratory (TIDEL), part of the Faculty of Applied Science and Engineering. Active in international conferences like CP (Constraint Programming) and ICAPS (International Conference on Automated Planning and Scheduling). **Advising & Grants**: Advises graduate students in optimization and scheduling. Research supported by grants focusing on constraint programming, cloud computing optimization, and wind farm layout design.

Mark C. Jeffreyمشاهده پروفایل

استادیار

• Computer Architecture
• Parallel Computing
• Computer Systems
• +۳ مورد دیگر

Mark C. Jeffrey is an Assistant Professor in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto, cross-appointed to the Department of Computer Science. His research focuses on computer architecture and systems, aiming to simplify parallel programming for software engineers through novel compilers and large-scale multicore architectures. Previously, he was a Research Scientist at Facebook AI Research and earned his PhD from MIT under Daniel Sanchez. He holds a MASc and BASc from the University of Toronto. Education: PhD in Computer Science, MIT (2019) MASc in Computer Engineering, University of Toronto (2011) BASc in Engineering Science, University of Toronto (2009) Research interests include parallel computing, compilers, multicore architectures, and energy-efficient systems. His work bridges hardware-software co-design to enable scalable parallelism in modern systems. Notable awards include the George M. Sprowls PhD Thesis Award (2nd place, 2019), Best Paper at NoCArc 2023, and a Best Paper Award at ARC 2010. He teaches advanced courses in computer architecture and parallel programming (ECE1755, ECE552). His GitHub repository bf-intersect explores Bloom filter configurations for address-set disambiguation, tied to his SPAA 2011 and MASc thesis work.

Christophe Dubachمشاهده پروفایل

دانشیار

• Data-Parallel Language Design
• Hardware Design Space Exploration
• Heterogeneous Computing
• +۴ مورد دیگر

Christophe Dubach is an Associate Professor at McGill University, jointly appointed in the Department of Electrical and Computer Engineering (ECE) and the School of Computer Science (CS). He holds a Canada CIFAR AI Chair at Mila. Previously, he was a Reader (Associate Professor) at the University of Edinburgh until 2019. His research focuses on data-parallel language design, high-level code generation for parallel hardware (GPUs/FPGAs), hardware design space exploration, and applying machine learning to these areas. He has advised numerous PhD and MSc students on topics like FPGA-based high-level synthesis, neural networks, and compiler optimization. Education: PhD in Informatics (2009, University of Edinburgh), MSc in Computer Science (2005, EPFL, Switzerland). Teaching includes courses on compiler design, computer organization, and high-level synthesis. His projects include Lift (a functional IR for GPU code generation) and High-Level Synthesis of Neural Networks on FPGAs. Collaborators include Michel Steuwer, Lu Li, and others in the fields of compilers, machine learning, and parallel computing.

• Computer Science Education
• Computer Systems
• Object-Oriented Programming
• +۵ مورد دیگر

Mark A. Holliday is a Professor of Computer Science at Western Carolina University (WCU), where he has served since 2004. He holds a Ph.D. in Computer Science from the University of Wisconsin–Madison (1986) and has extensive experience in academia, including roles as Interim Department Head (2007–2009) and Visiting Research Scientist at institutions like the University of Portsmouth (UK) and the University of Toronto. His primary affiliation is with the Department of Mathematics and Computer Science at WCU. Education Background: Ph.D. in Computer Science, University of Wisconsin–Madison (1986) Master's in Computer Science, University of Wisconsin–Madison (1982) B.A. in Mathematics and Economics, University of Virginia (1978) Research Interests: Holliday focuses on enhancing computer science education, particularly in teaching methodologies for programming concepts (e.g., memory diagrams for object-oriented programming), computer systems, and networking. His work includes developing educational tools like interactive animations for network concepts and memory diagram assessments. He also explores performance analysis of parallel architectures and distributed computing. Prior Research Areas: Included grid computing, web services, memory reference traces in parallel systems, and shared memory multiprocessors. His recent projects include the National Storm Surge Database and applications for public access to environmental data. Advising & Grants: While no specific students are listed, Holliday has led curriculum development initiatives and collaborated on projects funded by institutions like the National Oceanic and Atmospheric Administration (NOAA). He has served on the ABET Computing Accreditation Commission since 2023, contributing to accreditation standards. Labs/Teams: His work involves interdisciplinary collaboration, including contributions to the Distributed Systems Group (University of Portsmouth) and the development of the Storm Surge Viewer application.

Eugene Zimaمشاهده پروفایل

دانشیار

• Computer Algebra
• Algorithm Design
• Program Optimization
• +۳ مورد دیگر

Eugene Zima is an Associate Professor in the Department of Physics and Computer Science at Wilfrid Laurier University, holding an adjunct appointment as Associate Professor at the University of Waterloo's Department of Computer Science. He also serves as an Editor for the ACM Communications in Computer Algebra. His research focuses on computer algebra, algorithm design, program optimization, closed-form summation, and modular arithmetic. Notable contributions include advancements in symbolic summation techniques, hypergeometric series computation, and parallel algorithm optimization. Zima has co-chaired major conferences like ISSAC and organized workshops such as the Waterloo Workshop on Computer Algebra. Awarded the Best Scientific Result Award at the 1994 PARCELLA Conference, Zima has published extensively in top-tier venues like ISSAC, SNC, and Springer's Lecture Notes in Computer Science. He has authored books on symbolic algorithms and contributed to open-source software projects like the JMCR engine for multidimensional recurrence computations. Zima's teaching spans computer science fundamentals, algorithms, operating systems, and computer networks, with courses taught since 2000. He actively promotes visual learning through initiatives like Visual OS and Visual Algorithms , enhancing educational resources for core computer science topics.

Michael Cichonمشاهده پروفایل

دانشیار

• Mediaeval Welsh Literature
• Arthurian Literature
• Medieval Studies
• +۳ مورد دیگر

Michael Cichon is an Associate Professor at Saint Michael's College, specializing in Mediaeval Welsh literature, Arthurian studies, and the intersection of law and literature. He holds a Ph.D. from the University of Toronto's Centre for Mediaeval Studies and has taught courses ranging from introductory English to advanced seminars on medieval romance and legal studies. Education B.A., St. Francis Xavier M.A., University of Wales, Bangor M.A., University of Toronto M.S.L., Pontifical Institute of Mediaeval Studies Ph.D., University of Toronto, Centre for Mediaeval Studies Research Interests Mediaeval Welsh language and literature Arthurian literature and the Cult of Chivalry The blood feud in medieval narratives Medieval legal systems and their literary representation Teaching & Administration He teaches courses such as English 110, 286, and advanced seminars like English 401 and 498, while serving as an Associate Dean's advisor for the STM cohort program pilot.

Yuanhao Weiمشاهده پروفایل

استادیار

• Parallel Algorithms
• Concurrent Data Structures
• Multicore Computing
• +۳ مورد دیگر

Yuanhao Wei is an Assistant Professor in the Department of Computer Science at the University of British Columbia (UBC). Previously, he was a Postdoctoral Researcher at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), working with Julian Shun. He earned his Ph.D. from Carnegie Mellon University under Guy Blelloch and completed his undergraduate studies at the University of Toronto, mentored by Faith Ellen and Toniann Pitassi. His research focuses on developing efficient parallel and concurrent algorithms for multicore systems, with a strong emphasis on both theoretical foundations and practical implementations. Education: Ph.D., Carnegie Mellon University (2023) Bachelor's Degree, University of Toronto Research interests include concurrent data structures, memory management (e.g., garbage collection), persistent algorithms, and efficient implementations of concurrency primitives such as atomic operations and locks. His work bridges the gap between theory and practice, aiming to create algorithms that are both theoretically sound and performant in real-world multicore environments. Awards: Best Paper Award at PPoPP’22 for Lock-free Locks: Revisited Principles of Distributed Computing Doctoral Dissertation Award (2023) He currently teaches CPSC 320: Intermediate Algorithm Design and Analysis and is actively recruiting self-motivated MSc/PhD students interested in parallel/concurrent algorithms. His research contributions span topics like multiversioning, concurrent memory reclamation, and efficient NVRAM data structures.