جست‌وجوی استاد و پژوهشگر

Stephen Glasgowمشاهده پروفایل

استادیار

• Neuroscience
• Synaptic Plasticity
• Memory Consolidation
• +۳ مورد دیگر

Dr. Stephen Glasgow is an Assistant Professor in Biological Sciences at Brock University's Faculty of Mathematics and Science, where he leads a research laboratory focused on synaptic plasticity and memory consolidation. He holds a PhD in Psychology from Concordia University (2011), an MA from the same institution (2006), and a BA from the University of Calgary (2003). His professional experience includes postdoctoral work at the Montreal Neurological Institute (McGill University) and research scientist roles in neurotherapeutics. Research interests center on molecular mechanisms of memory, including guidance cue functions in synaptic plasticity, neuromodulation of neural circuits, spatial memory formation, and REM sleep's role in memory consolidation. His laboratory employs techniques spanning optogenetics, in vivo electrophysiology, live-cell imaging, and behavioral analysis to investigate hippocampal function and neural circuit dynamics. The Glasgow Lab maintains active research on three interconnected themes: 1) Roles of guidance cues (netrin-1/DCC) in adult synaptic plasticity, 2) Neuromodulation of excitatory synapses, and 3) Spatial memory consolidation mechanisms. Recent publications demonstrate acetylcholine-netrin synergy in entorhinal persistent firing and DCC-dependent hippocampal memory processes. Canadian Institute for Health Research Fellowship (2014-2016) FRQS Postdoctoral Award (2014-2015, 2012-2014) CPA Outstanding Doctoral Thesis Award (2011) NSERC Postgraduate Scholarship (2008-2010) FQRNT Doctoral Award (2008) CPA Outstanding Master’s Thesis Award (2007) NSERC-USRA (2003) Dr. Glasgow currently advises MSc students Emily Kacur and Harshit Thakare, with recent alumni including Zoe Gagnon (MSc). The lab supports undergraduate researchers through honors projects and NSERC USRA opportunities. Grant support includes funding from CIHR, FRQS, and NSERC. The Glasgow Laboratory is located in the Mackenzie Chown Complex at Brock University, equipped for electrophysiology, cellular imaging, and behavioral analysis. Collaborative networks extend to McGill University, Montreal Neurological Institute, and international partners.

• Algorithms
• Big data analytics
• Blockchain
• +۱۲ مورد دیگر

Dr. Wojciech Golab is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His research focuses on distributed systems, concurrency control, and persistent memory algorithms. He has received recognition for his work on shared memory algorithms from ACM Computing Reviews. His academic career includes teaching courses like ECE 252, ECE 356, and ECE 454 in the past five years. Education: PhD in Computer Science, University of Toronto (2010) M.Math in Computer Science, University of Waterloo (2004) BSc in Computer Science, University of Toronto (2002) Dr. Golab's research interests span algorithms, blockchain, distributed systems, fault tolerance, and scalable storage solutions. His work emphasizes practical applications of theoretical computer science, such as optimizing transaction processing and ensuring consistency in distributed environments. His recent publications explore topics like detectable synchronization objects for persistent memory, blockchain sharding protocols, and efficient mutual exclusion algorithms under system failures. These contributions highlight advancements in both theoretical foundations and real-world distributed system design. Awards: ACM Computing Reviews 'Notable Computing Items' recognition (2012) Dr. Golab has collaborated with industry partners like Hewlett-Packard Labs, Google, and Cisco to advance research in distributed computing and cloud systems. He currently oversees graduate studies in his department and welcomes applications from prospective students.

Peter Buhrمشاهده پروفایل

دانشیار

• Programming Languages
• Concurrency
• Software Engineering
• +۳ مورد دیگر

Peter Buhr is an Associate Professor at the University of Waterloo, located in DC 2504. He holds a Ph.D. (1985), M.Sc. (1978), and B.Sc. (1976), all from the University of Manitoba. His research focuses on programming languages, specializing in concurrency, polymorphism, and persistence. He explores visualization and debugging of concurrent programs, persistent storage-management via memory mapping, and concurrent storage-allocation techniques. Education: Ph.D., University of Manitoba (1985) M.Sc., University of Manitoba (1978) B.Sc., University of Manitoba (1976) His work emphasizes practical and theoretical advancements in concurrent systems and language design. While no specific grants or awards are listed in the provided information, his contributions to programming language research are accessible via his personal webpage and DBLP profile.

Pooya Ronaghمشاهده پروفایل

عضو هیئت علمی

• Quantum Computation
• Quantum Algorithms
• Quantum Error Correction
• +۸ مورد دیگر

Pooya Ronagh is a Research Assistant Professor at the University of Waterloo, affiliated with the Department of Physics & Astronomy and the Institute for Quantum Computing (IQC). He also serves as a Scientific Lead at the Perimeter Institute Quantum Intelligence Lab (PIQuIL) and directs the Hardware Innovation Lab at 1QBit. His work bridges quantum computation, machine learning, and optimal control, focusing on quantum algorithms, error correction, and hybrid quantum-classical systems. Education: PhD in Mathematics (University of British Columbia, 2016), MSc in Mathematics (UBC, 2011), dual BSc in Mathematics and Computer Science (Sharif University of Technology, 2009). Awards include the Benjamin Franklin Fellowship (2009). Research Interests: Quantum algorithms for machine learning, reinforcement learning, fault-tolerant quantum architectures, cryogenic systems, and quantum control. He explores applications of quantum simulation to improve learning efficiency and robustness in AI systems. Recent work includes optimizing quantum error correction decoders, developing scalable superconducting architectures, and advancing neural network-based quantum state tomography. His contributions span theoretical frameworks (e.g., lattice surgery scheduling) and experimental methods (e.g., SFQ pulse control). Teaching: Courses like PHYS 490 (Machine Learning in Physics) emphasize practical coding and interdisciplinary projects. Grants and collaborations involve industry and academic partners in quantum hardware and software development. Labs: Hardware Innovation Lab (1QBit), IQC Quantum Control Group Future Work: Scaling quantum supercomputers, cryogenic neural decoders, quantum-enhanced generative AI

John Paul Mindaمشاهده پروفایل

استاد

• Cognitive Psychology
• Category Learning
• Concept Formation
• +۳ مورد دیگر

Dr. John Paul Minda is a Professor in the Department of Psychology at Western University and an associate director of the Western Institute for Neuroscience. He holds a PhD from the University of Buffalo and was a Beckman Fellow at the University of Illinois. His research focuses on categorization, concept formation, and their influence on decision-making. He has authored influential books like *The Psychology of Thinking* and *How to Think*. Dr. Minda is renowned for his teaching excellence, receiving the 2020 Dean’s Award for Teaching and the 2023 OUSA Teaching Excellence Award. He directs the Minda Lab, a cognitive psychology group affiliated with the Brain and Mind Institute. The lab studies how people learn categories and how these concepts shape behavior. Funded by NSERC, SSHRC, and Mitacs, the lab has produced over 100 publications. Recent work explores implicit learning, cultural differences in categorization, and mindfulness interventions. Key lab members include PhD students Anthony Cruz and Chelsea McKenzie, and postdoc Priya Kalra. Dr. Minda advises over 20 graduate and undergraduate students, mentoring through grants and collaborative projects. His teaching emphasizes accessibility and innovation, reflected in courses on cognitive psychology. He lives in London, Ontario, and balances academia with running and family life.

Thomas Murookaمشاهده پروفایل

دانشیار

• Immunology
• Infectious Diseases
• Virology
• +۳ مورد دیگر

Dr. Thomas Murooka is an Associate Professor in the Department of Immunology at the Max Rady College of Medicine, University of Manitoba. He holds cross-appointments in Medical Microbiology and Infectious Diseases. His research focuses on understanding how pathogens (e.g., HIV, Leishmania) modulate immune cell behavior, with a particular emphasis on cell migration, cell-to-cell communication, and immune evasion mechanisms. Utilizing advanced microscopy techniques, his lab investigates the spatiotemporal dynamics of immune responses in health and disease. Dr. Murooka's educational background includes a Doctor of Medicine (MD) and Bachelor of Science in Medicine from the University of Manitoba (1982), followed by a residency leading to Fellow of Royal College of Physicians and Surgeons of Canada (FRCPC) in Pediatrics (1986). He earned a PhD in Immunology from the University of Toronto (2008) and completed a postdoctoral fellowship at Massachusetts General Hospital (2014), specializing in intravital imaging. His research interests encompass viral and parasitic infections, HIV latency mechanisms, and Leishmania persistence. Key areas include the role of regulatory T cells in immune evasion, miRNA regulation of HIV entry, and the dynamics of T cell migration during infection. Supported by grants from CIHR, Research Manitoba, and CanCURE Enterprise 2.0, his work bridges basic immunology with translational strategies to combat infectious diseases. Dr. Murooka has been recognized for his teaching excellence, including the University of Manitoba Excellence in Graduate Teaching Award (2017 and 2020). His lab collaborates with organizations like CanCURE and the American Society for Microbiology. Current research tools include CRISPR screening, live-cell imaging, and computational modeling of cellular interactions. Notable achievements include discovering how HIV-infected T cells enhance viral spread through migration and identifying niche environments supporting latent HIV reservoirs. His lab’s work on Leishmania immune evasion mechanisms has advanced understanding of persistent parasitic infections. Future directions include developing therapies targeting chemoattractant systems and refining imaging techniques for real-time infection monitoring.

Reto Achermannمشاهده پروفایل

استادیار

• Resilient Systems
• Efficient Systems
• Operating Systems
• +۵ مورد دیگر

Reto Achermann is an Assistant Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Systopia Lab. His research focuses on resilient and efficient systems at the intersection of operating systems, applied formal methods, and hardware models. He holds a PhD from ETH Zurich and previously served as a Postdoctoral Research Fellow at UBC under Prof. Margo Seltzer. Education: PhD in Computer Science from ETH Zurich (advised by Prof. Timothy Roscoe), MSc in Computer Science from ETH Zurich. Research interests include memory and storage systems, formal verification, device drivers, and software synthesis. He contributed to the Barrelfish OS project, particularly in memory management and hardware abstractions. Key achievements: Won distinguished artifact awards at ASPLOS'25 and SOSP'24 for 'Velosiraptor' and 'Verus'. Received UBC's Faculty of Science Excellence in Service Award for educational contributions. Served on program committees for ASPLOS, PLDI, EuroSys, and USENIX ATC. Current roles: Actively supervises graduate students in thesis-based MSc/PhD programs. Engages in interdisciplinary research and collaborates on grants. Previously advised undergraduate research projects and directed studies.

Dwayne Donaldمشاهده پروفایل

دانشیار

• Indigenous Education
• Curriculum Development
• Pedagogy
• +۳ مورد دیگر

Dr. Dwayne Donald is an Associate Professor in the Faculty of Education at the University of Alberta. As a descendant of the amiskwaciwiyiniwak (Beaver Hills people) and Papaschase Cree, his work focuses on integrating Indigenous philosophies into curriculum and pedagogy to foster holistic understandings of education. He critically examines colonial narratives in educational systems and advocates for relational frameworks rooted in Cree concepts like wâhkôhtowin (kinship relations). Research Focus Indigenous epistemologies in education Deconstructing colonial curricula Ecological kinship and ethical relationality Historical memory in pedagogical practices Key Contributions His recent analysis of Alberta's leaked curriculum drafts highlights the persistence of colonial myths in education policy, emphasizing the need for narratives that teach human and more-than-human kinship relations. His SSHRC-funded research explores alternative pedagogical approaches grounded in Indigenous wisdom traditions.

Iva Zovkicمشاهده پروفایل

دانشیار

• Behavioural Neuroscience
• Neurobiology
• Learning and Memory
• +۵ مورد دیگر

Dr. Iva Zovkic is an Associate Professor in the Department of Psychology at the University of Toronto Mississauga (UTM), specializing in Behavioural Neuroscience. Her research investigates neurobiological mechanisms through which transient experiences produce persistent behavioral changes, with a focus on memory formation and epigenetic regulation. Education: B.A. in Psychology from Brock University Ph.D. in Psychology (Behavioural Neuroscience) from Brock University Postdoctoral fellowship in Neurobiology at the University of Alabama at Birmingham Research Focus: Dr. Zovkic's laboratory examines how nucleosome composition and histone variant exchange (particularly H2A.Z) regulate cognitive processes. Key research areas include: Epigenetic control of memory consolidation in hippocampus and cortex Coordination of histone variants with DNA methylation and post-translational modifications Systems consolidation of memories from recent to remote storage Chromatin remodeling in neural plasticity and behavioral adaptation Her work bridges molecular neuroscience with behavioral outcomes using rodent models. Publication Trends: Her recent articles (2013-2019) demonstrate a consistent focus on epigenetic mechanisms of memory formation, with particular emphasis on histone variant exchange, chromatin remodeling in learning, and neurobiological basis of fear/PTSD. The majority employ rodent models and molecular techniques to examine neural plasticity across multiple memory stages.

• Computer Vision
• Computer Graphics
• Computational Photography
• +۶ مورد دیگر

Alexei Efros is a Professor of Electrical Engineering and Computer Science at UC Berkeley , affiliated with the Berkeley Artificial Intelligence Research Lab (BAIR) . Previously, he was a faculty member at the Robotics Institute, Carnegie Mellon University , and a postdoc at Oxford University with Andrew Zisserman. His work spans data-driven computer vision , self-supervised learning , and applications to computer graphics , computational photography , and human-AI interaction . Research Themes : Self-supervised visual learning 3D scene understanding Vision-language multimodal systems Teaching : CS 180/280A: Intro to Computer Vision CS 280: Graduate Computer Vision CS 294-192: Visual Scene Understanding Recent Publication Trends : Focus on diffusion models and self-guidance 3D perception and rendering Interpretability of vision-language models Temporal and sequential learning Scientific Collaborations : Extensive partnerships with institutions like MIT, CMU, Stanford, and NVIDIA Mentorship of PhD students now at TTIC, OpenAI, Anthropic, and academia Labs & Teams : BAIR Lab (UC Berkeley) Collaborations with Adobe Research, Google, and NVIDIA