Persistent Memory Systems Professors and Supervisors in Canada | ApplySharif

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نمایش ۴۶-۶۰ از ۷۰ استاد راهنما

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

LillAnne Jacksonمشاهده پروفایل

عضو هیئت علمی

University of VictoriaCanada

Memory Consistency for Multiprocessor Architectures
Computational Geometry
Teaching Concurrency
+۱ مورد دیگر

LillAnne Jackson is an Associate Teaching Professor and Associate Dean of Undergraduate Studies in the Department of Computer Science at the University of Victoria. She holds a PhD from the University of Calgary and has dual roles in academic leadership and teaching innovation within the Faculty of Engineering and Computer Science. Dr. Jackson’s research focuses on memory consistency for multiprocessor architectures, computational geometry, and pedagogical strategies for teaching concurrency in computer science. Her educational work emphasizes improving retention in STEM fields through innovative teaching methods and curriculum design. She has contributed to accreditation-driven curricular reforms and explored the efficacy of video-based instruction in technical education. Her technical research addresses challenges in parallel computing systems, including memory coherence models for architectures like Itanium and Sparc. Earlier work includes computational geometry projects such as polygon reconstruction algorithms and visibility analysis. Her articles span both technical computer science topics and educational methodologies, reflecting her dual expertise in technical systems and academic innovation. In her administrative role as Associate Dean, she oversees undergraduate academic policies and program development. She collaborates with faculty to enhance student experiences through curriculum modernization and pedagogical research. Dr. Jackson’s work bridges theoretical computer science with practical educational strategies to strengthen undergraduate education and technical workforce development.

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Nicholous Dealمشاهده پروفایل

استادیار

Mount Saint Vincent UniversityCanada

Dr. Nicholous Deal is an Assistant Professor in the Department of Business and Tourism at Mount Saint Vincent University (MSVU), specializing in management, nonprofit leadership, and strategic human resource management. He holds a PhD in Business Administration from Saint Mary’s University and has taught at multiple institutions across Atlantic Canada. His research focuses on management history, critical historiography, and the intersection of equity, diversity, and inclusion (EDIA) in organizational contexts. Deal’s academic journey includes roles at Dalhousie University, Crandall University, and Cape Breton University. He has been honored with four ‘Professor of the Year’ awards and the 2024 Mount’s Alumni Early Career Teaching Award. His research explores historical analyses of management practices, Canadian management theory, and storytelling methodologies. His publications span journals like Management Learning and Journal of Management History , emphasizing themes such as microhistory, actor-network theory, and the role of historical narratives in modern organizations. Deal also serves as an editorial board member for Qualitative Research in Organizations and Management and Journal of Management History . Community engagement includes leadership roles at the Halifax West Ecumenical Food Bank and One Church. His grants include SSHRC-funded research on Canadian management knowledge and internal MSVU grants supporting his work. Deal actively contributes to academic conferences, focusing on historical organization studies and critical management perspectives.

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Iain Moylesمشاهده پروفایل

دانشیار

York UniversityCanada

Iain Moyles is an Associate Professor in the Department of Mathematics and Statistics at York University, Faculty of Science. His research focuses on mathematical modelling, asymptotic analysis, and scientific computing, with applications in battery technology, disease dynamics, soil science, and behavioral systems. He holds a PhD in Applied Mathematics from the University of British Columbia (2015), and completed postdoctoral work at the Mathematics Applications Consortium for Science and Industry (MACSI) at the University of Limerick (2015–2018). Research Interests: Mathematical Modelling of Batteries, Disease Spread Mechanisms, Soil Biogeochemistry, and Behavioral Dynamics. Sub-disciplines include Scientific Computing and Asymptotic Methods. Publications highlight contributions to epidemiological modeling (e.g., mpox, SARS-CoV-2), battery degradation, and soil phosphorus transport. His work has been published in journals such as Mathematical Biosciences , SIAM Journal on Applied Mathematics , and Scientific Reports . Awards include supervision of students recognized with accolades like the CIRN Trainee Scholarship and Faculty of Science Excellence in Educational Leadership Award. Active in teaching applied mathematics courses, including Perturbation Methods and Mathematical Modelling. Labs/Teams: Leads a research group with doctoral, master’s, and undergraduate students focused on interdisciplinary projects in applied mathematics and computational science.

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Boyer Wintersمشاهده پروفایل

استاد

University of GuelphCanada

Boyer Winters is a Professor in the Department of Psychology at the University of Guelph, within the College of Social & Applied Human Sciences. His research focuses on the neurobiological mechanisms underlying declarative memory, particularly using rodent models to study object recognition, memory consolidation, and reconsolidation. He investigates how brain regions interact during cognitive processes, aiming to understand complex memory systems and their breakdown in diseases like Alzheimer’s and schizophrenia. Education: Bachelor’s in Experimental Psychology (Dalhousie University, 1994–1998) PhD in Experimental Psychology (University of Cambridge, 1998–2001) Postdoctoral training at the University of Cambridge (2001–2007) Research Interests: Neural bases of object recognition and crossmodal perception Role of cholinergic and dopaminergic systems in memory Developing touchscreen-based cognitive tests for rodent models Memory destabilization and reconsolidation mechanisms Articles highlight advancements in understanding how neuromodulators like dopamine and acetylcholine regulate memory processes. His work bridges basic neuroscience with translational studies on neurodegenerative and psychiatric disorders. Teaching: Courses include Behavioral Neuroscience, Neurochemical Basis of Behavior, and Advanced Topics in Behavioral and Cognitive Neuroscience. Labs/Teams: Lead of the Neurobiology of Cognition Lab at the University of Guelph, focusing on interdisciplinary approaches to cognitive neuroscience.

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Peter Allan Buhrمشاهده پروفایل

استاد

University of WaterlooCanada

Peter Allan Buhr is a Professor at the School of Computer Science, University of Waterloo. His primary research focuses on programming languages, concurrency, polymorphism, and tools for monitoring and debugging concurrent systems. He is known for developing μC++ and C∀, extensions to C and C++ that enhance concurrency and type safety. Buhr's work includes contributions to memory-mapped databases (μDatabase), debugging tools (MVD), and high-performance web server architectures. His research interests include concurrency control, lock-free algorithms, type systems, and persistent data structures. He has advised numerous graduate students on topics like C∀ type systems, concurrency patterns, and real-time scheduling. Buhr has published extensively in top-tier journals such as ACM Transactions on Parallel Computing and Concurrency and Computation: Practice and Experience. He leads the C∀ open-source project, aiming to modernize the C language while maintaining backward compatibility. His work on μC++ has been used in undergraduate concurrency courses at Waterloo for decades. Buhr's contributions to concurrency education and research have had a global impact, with tools and frameworks adopted widely in academia and industry.

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Yuan Dingمشاهده پروفایل

استاد

University of TorontoCanada

Professor Yuan Ding is a Canada Research Chair in Systems Software at the University of Toronto , affiliated with the Faculty of Applied Science and Engineering and serving as Chair of the Computer Engineering Group . He joined the Department of Electrical and Computer Engineering in 2013 and was promoted to Professor in 2023. Education: PhD in Computer Science (2012) from University of Illinois at Urbana-Champaign, B.E. in Computer Science and Engineering and B.S. in Mathematics (2006) from Beihang University Research Interests focus on improving the reliability and performance of large-scale software systems , particularly distributed and systems software. His work addresses critical issues like upgrade failures , log compression , performance profiling , and non-intrusive debugging . Key methodologies include empirical studies of real-world failures, static analysis, and runtime optimization. Publication Trends show expertise in operating systems , distributed systems , and software engineering . Recent work includes μSlope (log compression) and Relational Debugging (root-cause analysis), while earlier studies investigated JVM performance and distributed failure patterns . Scientific Awards : Canada Research Chair (2023), McCharles Prize (2018), NetApp Faculty Fellowship (2013–2016), ACM SIGSOFT Distinguished Paper (2011), Saburo Muroga Fellowship (2006–2007), University Gold Medal (2005) Advising & Collaborations : Supervised 15+ PhD and Master’s students, including Yongle Zhang (Purdue), Xu Zhao (Facebook), and Xiang Ren (Northeastern). Founded startup YScope to commercialize log compression tools like CLP , now deployed at Uber.

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Gennady Pekhimenkoمشاهده پروفایل

دانشیار

University of TorontoCanada

Dr. Gennady Pekhimenko is an Associate Professor in the Department of Computer Science and cross-appointed to the Electrical and Computer Engineering department at the University of Toronto. He leads the EcoSystem research group and serves as CEO/Co-Founder of CentML, with affiliations at CIFAR and Vector Institute. PhD in Computer Science from Carnegie Mellon University (2016) His research spans computer architecture, systems optimization, and applied machine learning, with a focus on memory hierarchy efficiency, hardware acceleration, and compiler design. Recent work emphasizes large language model training, GPU virtualization, and processing-in-memory systems. Key article trends include: 1) Memory optimization for transformers and sparse models (2024-2025), 2) GPU resource management (2022-2024), 3) Prompt programming languages (2025), and 4) Deep learning compilation frameworks (2021-2023). Major Awards: NVIDIA Graduate Fellowship, Microsoft Research PhD Fellowship, ISCA Hall of Fame, AWS/Google/VMware research grants Key Collaborations: Onur Mutlu (CMU), Todd Mowry (CMU), Vector Institute researchers

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Oliver Hardtمشاهده پروفایل

دانشیار

McGill UniversityCanada

Oliver Hardt is an Associate Professor in the Department of Psychology at McGill University, where he leads the Memory and Forgetting Lab. His research focuses on the neurobiology of memory with particular emphasis on memory maintenance and forgetting mechanisms, employing a systems-level approach across multiple model organisms and human subjects. His primary research areas include Behavioural Neuroscience and Cognitive Neuroscience, with core interests in memory systems, forgetting processes, and neurobiological mechanisms. The lab utilizes behavioral studies in genetically modified Drosophila melanogaster , pharmacological manipulations of specific rodent brain regions, and computer-based cognitive tasks in human subjects. Collaborative work extends to clinical populations with memory dysfunctions including Fragile X syndrome, autism spectrum disorders, and Alzheimer's disease. Analysis of his publication record reveals a consistent focus on synaptic mechanisms underlying memory persistence and decay, particularly AMPA receptor trafficking and endocytosis. His work bridges molecular neuroscience with behavioral outcomes, establishing critical links between cellular processes and cognitive phenomena in both healthy and pathological memory systems. Scientific Awards: No awards were mentioned in the provided documentation. Advising and Grants: The available information does not specify graduate students, postdoctoral researchers, or external grant funding. Labs and Teams: The Memory and Forgetting Lab operates as an interdisciplinary research unit integrating molecular, systems, and cognitive neuroscience approaches to investigate fundamental memory processes across species.

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Maithe Arruda Carvalhoمشاهده پروفایل

دانشیار

University of TorontoCanada

Maithe Arruda Carvalho is an Associate Professor in the Department of Psychology at the University of Toronto Scarborough (UTSC). Her research focuses on understanding how neural circuits mature to support complex behaviors, particularly in cognitive flexibility, fear memory, and social behavior. She holds a BSc and MSc from the Federal University of Rio de Janeiro and a PhD from the University of Toronto, followed by postdoctoral training at Mount Sinai Hospital in New York. She joined UTSC in 2016. Education: BSc in Biomedical Sciences, Federal University of Rio de Janeiro MSc in Cellular Neurobiology, Federal University of Rio de Janeiro PhD in Neuroscience (with Dr. Paul Frankland), University of Toronto Her research investigates developmental critical periods in neural circuits, such as the hippocampus-prefrontal cortex pathway, which underpin cognitive flexibility and fear extinction. She employs rodent models to study synaptic plasticity, synaptic transmission maturation, and the neurobiological basis of autism spectrum disorder. Her lab emphasizes rigorous experimental methodologies, including 3D-printed object recognition tasks and optogenetic techniques. Key research themes include the maturation of nucleus accumbens circuits for social behavior rescue, developmental fear memory persistence, and off-target effects in viral vector-based experiments. She collaborates widely to advance reproducibility in developmental neuroscience research. Lab members include thesis students Anusha Abdusalom, Danyal Zaidi, and Francesca Violi, alongside newer researchers Ashutosh Patel and Anna Canella. The lab actively seeks new talent through its Opportunities page.

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Keith Thor Carlsonمشاهده پروفایل

استاد

University of the Fraser ValleyCanada

Dr. Keith Thor Carlson is Professor of History and Tier One Canada Research Chair in Indigenous and Community-Engaged History at the University of the Fraser Valley. His scholarship collaborates with Coast Salish communities to reconstruct Indigenous histories within their own cultural frameworks. Research focuses on Stó:lō memoryscapes, settler colonial impacts, and Indigenous-settler treaty relationships. Award-winning publications include 'The Power of Place, The Problem of Time' (Clio Prize) and 'A Stó:lō Coast Salish Historical Atlas' (BC Book Prize). His community-engaged methodology established the UFV Collaboratorium to facilitate co-designed research. Honors include election to the Royal Society of Canada and multiple book/article awards. Current projects examine smallpox bioterrorism, land-based memory practices, and decolonizing pre-history narratives. He received the names Xyéytil and Stelómetel from Stó:lō communities in recognition of his ethical scholarship.

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Yuanhao Weiمشاهده پروفایل

استادیار

University of British ColumbiaCanada

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.

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Buddhika Bellanaمشاهده پروفایل

استادیار

York UniversityCanada

Buddhika Bellana is an Assistant Professor in the Department of Science at Glendon College, York University. They lead the Memory & Meaning Lab, which investigates human memory, spontaneous thought, and narrative processing. Bellana holds a PhD in Psychology from the University of Toronto (2013–2018) and postdoctoral fellowships at Johns Hopkins University (2018–2021) and the University of Toronto (2020–2021). Their research focuses on episodic memory, the role of narratives in cognition, and the neural mechanisms underlying spontaneous thought, particularly involving the default mode network and hippocampus. Bellana has secured grants from the Natural Sciences and Engineering Research Council (NSERC) for projects on memory consolidation and predictive models in naturalistic contexts. They teach courses such as 'Stories, Minds, and Brains' and 'Introduction to Experimental Psychology,' and mentor graduate students exploring topics like curiosity, aging, and episodic memory. The lab collaborates with interdisciplinary teams to apply natural language processing and machine learning to study timeless narratives and mental context persistence. Education: PhD in Psychology, University of Toronto (2013–2018) MA in Psychology, University of Toronto (2012–2013) BA in Psychology, York University (2007–2012) Research Interests: Episodic memory, spontaneous thought dynamics, narrative analysis, neuroimaging, default mode network, aging, computational modeling. Grants: Multiple NSERC grants (2012–2028) focused on memory, predictive models, and aging. Labs/Teams: Principal Investigator of the Memory & Meaning Lab; collaborations with institutions like Johns Hopkins University and York University.

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Judith N. Mandlمشاهده پروفایل

دانشیار

McGill UniversityCanada

Judith N. Mandl is an Associate Professor in the Department of Physiology at McGill University. Her research focuses on T cell biology, particularly the mechanisms governing T cell trafficking, immune surveillance, and self/non-self recognition. She employs advanced microscopy techniques to study T cell dynamics in vivo. Education: Postdoctoral training at the NIH (US), Ph.D. from Emory University (US), and BSc (Hons) from the University of Warwick (UK). Research Interests: T cell migration mechanisms, T cell receptor repertoire development, immune response to infections, and immunodeficiency pathogenesis. Her work emphasizes understanding how T cell behavior impacts immune system efficacy in health and disease. Lab Website: jmandl.lab.mcgill.ca . Graduate/postdoctoral positions are currently available. Notable Contributions: Pioneering studies on DOCK8-dependent T cell migration, mechanisms of T cell self-tolerance, and the role of T cell heterogeneity in infection responses. Her interdisciplinary approach bridges immunology, cell biology, and biophysics.

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Xiaoqiang Zhaoمشاهده پروفایل

استاد پژوهشی

Memorial University of NewfoundlandCanada

Dr. Xiaoqiang Zhao is a Research Professor in the Department of Mathematics and Statistics at Memorial University of Newfoundland. He holds a PhD from the Chinese Academy of Sciences (1990) and academic degrees from Northwest University (B.Sc. 1983, M.Sc. 1986). His research focuses on applied dynamical systems, nonlinear differential equations, and mathematical biology with applications in population dynamics and epidemiology. Education: PhD in Applied Mathematics, Chinese Academy of Sciences, 1990 MSc in Mathematics, Northwest University, 1986 BSc in Mathematics, Northwest University, 1983 Research Interests: Dr. Zhao's work emphasizes the theoretical and applied aspects of dynamical systems in biological contexts. Key areas include spatiotemporal dynamics of infectious diseases, nonlocal dispersal models, traveling wave solutions, and the analysis of reaction-diffusion equations in periodically varying environments. His contributions bridge nonlinear analysis and real-world applications in ecology and epidemiology. Grants: NSERC Grant (2025-2030): 'Dynamics of Nonlinear Systems with Spatial and Temporal Heterogeneities' NSERC Grant (2019-2025): 'Spatial and Temporal Dynamics of Evolution Systems with Applications' Editorial Roles: Discrete and Continuous Dynamical Systems, Series B Dynamics of Continuous, Discrete and Impulsive Systems, Series A Journal of Nonlinear Modeling and Analysis Academic Activities: Active in organizing seminars (e.g., Nonlinear Dynamics Seminar, Winter 2025) and participating in international conferences. Supervises graduate students and postdoctoral researchers in mathematical biology and nonlinear dynamics.

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Yuan Yuanمشاهده پروفایل

استاد

Memorial University of NewfoundlandCanada

Dr. Yuan Yuan is a Professor of Mathematics at the Department of Mathematics and Statistics , Memorial University of Newfoundland in St. John's, NL. He holds the NSERC University Faculty Award (2004) and focuses on applied dynamical systems, delay differential equations, and mathematical biology. His research explores topics like disease transmission models, neural networks, and ecological systems. Education: PhD, The University of Western Ontario M.Sc., Central South University B.Sc., Wuhan University Postdoc, University of Waterloo Research Interests: Nonlinear Dynamical Systems Delay Differential Equations Mathematical Biology/Ecology Computation of Differential Equations Neural Networks His work emphasizes modeling complex systems, including predator-prey interactions, disease spread dynamics, and control strategies in ecological and epidemiological contexts. Recent Publications: Recent works address topics like predator-prey models with harvesting, fractional Schrödinger equations, and epidemic dynamics. These studies highlight interdisciplinary approaches to real-world problems, such as optimizing fishery management and understanding viral transmission patterns. Awards: NSERC University Faculty Award (2004) Teaching & Advising: Teaches courses in differential equations, dynamical systems, and mathematical modeling. Advises students like Isam Al-Darabsah on topics such as disease transmission and stage-structured models. Professional Activities: Organized the AARMS Workshop on Mathematical Biology (2011) and contributed to collaborative research networks.

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