جست‌وجوی استاد و پژوهشگر

Morgan Barenseمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Memory Formation
• Aging and Dementia
• +۳ مورد دیگر

Morgan Barense is an Associate Professor at the University of Toronto (since 2014) and Director of the Toronto Neuroimaging Facility. Her research focuses on understanding how the brain supports memory formation, aging-related cognitive decline, and neurological disorders through neuroimaging, neuropsychology, and cognitive psychology. She holds a B.A. from Harvard University and a Ph.D. from the University of Cambridge, followed by a postdoctoral fellowship at Peterhouse (Cambridge). Her expertise spans Perception and Cognition Cognitive Neuroscience Neuroimaging Techniques Memory Disorders She investigates neural mechanisms underlying episodic memory, autobiographical memory, and spatial navigation using fMRI, behavioral studies, and computational modeling. Her work has been recognized with prestigious awards such as the Canada Research Chair in Cognitive Neuroscience and the Young Investigator Award from the Cognitive Neuroscience Society. Her research explores applications like smartphone-based interventions to mitigate memory decline in aging populations and neuroimaging methods to assess cognitive functioning in acute stroke patients. She also studies how prediction errors and environmental boundaries influence episodic memory consolidation. Current projects include examining hippocampal function in dementia risk groups and developing frameworks for understanding memory across multiple temporal and spatial scales.

George Arhonditsisمشاهده پروفایل

استاد

• Aquatic Biogeochemical Modelling
• Plankton Ecology
• Bayesian Inference
• +۵ مورد دیگر

George Arhonditsis is a Professor and Vice Dean of Graduate & Postdoctoral Studies at the Department of Physical & Environmental Sciences, University of Toronto Scarborough. His research focuses on aquatic biogeochemical modeling, plankton ecology, Bayesian inference, and environmental management. He holds a Ph.D. from the University of the Aegean and has received prestigious awards including the Elsevier Best Paper Award (2012 & 2014) and the Ontario Early Researcher Award (2009). Research Interests include ecosystem modeling, climate impacts on freshwater systems, nutrient dynamics, and harmful algal blooms. His work integrates field data, statistical methods, and mechanistic models to address environmental challenges. Notable contributions include studies on Lake Erie phosphorus management, Bayesian framework applications, and the ecological consequences of climate change. Recent articles highlight climate-driven harmful algal blooms, agricultural sustainability, and watershed modeling. He leads initiatives to improve adaptive management strategies and environmental policy integration. His labs and teams collaborate globally, emphasizing interdisciplinary approaches to water quality and ecological forecasting.

• Intelligent User Interfaces
• Computer Science Education
• Human-Robot Interaction
• +۳ مورد دیگر

Tovi Grossman is an Associate Professor in the Department of Computer Science at the University of Toronto. He holds the NSERC/Autodesk Industrial Research Chair in Human-Computer Interaction (HCI) and has received prestigious awards like the Alfred P. Sloan Research Fellowship (2021) and the NSERC E.W.R. Steacie Memorial Fellowship (2020). His research focuses on intelligent user interfaces, mixed reality, and AI-driven interaction techniques. Education: Ph.D. in Human-Computer Interaction from the University of Toronto. Previously, he was a Distinguished Research Scientist at Autodesk Research. Research Interests: Grossman explores how emerging technologies like AI and mixed reality can enhance user experiences. His work spans intelligent UIs, human-robot interaction, and education technologies. Notable projects include Autodesk Sketchbook Motion (Apple iPad App of the Year 2016) and Geppetto (CHI 2019 Best Paper Award). Articles Trends: Recent work emphasizes AI-assisted creativity (e.g., generative design tools), mixed reality applications in education, and human-AI collaboration in programming and robotics. Over 180 peer-reviewed articles and 100+ patents highlight his contributions. Awards: 18+ best paper awards, Sloan Fellowship, NSERC Chairs. Grants: NSERC/Autodesk Chair (2019–2024), multiple industry collaborations. Team: Supervises a dynamic team of Ph.D./M.Sc. students and undergraduate researchers, focusing on HCI innovation. Collaborates with Toronto-area industry labs like Autodesk.

Nicolas Arnaezمشاهده پروفایل

مدرس

• Interactive Sound
• Sound Art
• Spatialization
• +۳ مورد دیگر

Nicolas Arnaez currently serves as Research Coordinator at the College of Social Sciences and Humanities , University of Alberta, and as Lecturer in the Department of Music. He also holds roles as Production Manager at New Music Edmonton and Sound Technician at Yardbird Suite. Doctor of Music Composition (University of Alberta) Master of Music Composition (University of Alberta) Licentiate in Music Composition (University of Alberta) A leading figure in interactive sound composition , Arnaez merges electroacoustic music , multichannel spatialization , and real-time processing to create immersive sonic experiences. His work explores the spatial dimension as a compositional parameter , employing tools like ambisonics , VBAP , and self-coded software to manipulate sound trajectories and audience perception. His recent compositions, including Requiem 13 (2024) and SinData (2023-present), demonstrate consistent innovation in interactive installations , quadraphonic sound design , and human-technology collaboration . Key trends include site-specific works , cross-disciplinary projects , and experimental music education through tools like Wavegenerator and SpaCO software. Notable grants include funding from the Social Sciences and Humanities Research Council (SSHRC) for his Lost Garden video game project (2017-2021), which explored interactive sound as game mechanic . He has developed specialized software for 3D spatialization (HPSC, Trajectory Recorder) and live processing (TallaD, ReDo Synth) used in both academic and performance contexts. Arnaez collaborates with Mile Zero Dance Company (The Disaster Show, 2020-2025) and leads Blackout Over Rio (2018-present), an improvisation trio. His Audio Games Lab at University of Alberta and SpaCO spatialization software have become institutional resources for computer music research and Canadian sound art development .

Paul Calamaiمشاهده پروفایل

استاد

• Operations Research
• Nonlinear Optimization
• Bilevel Optimization
• +۵ مورد دیگر

Paul Calamai is a Professor in the Department of Systems Design Engineering at the University of Waterloo, and is affiliated with the Waterloo Institute for Sustainable Energy. His research focuses on resource management, optimization methods, and the integration of operations research with geographical information systems (GIS). He holds a BSc, MSc, and PhD from the University of Waterloo (1977–1983). Research Interests : Bilevel optimization, societal and environmental systems, nonlinear optimization, facility location, and resource allocation. His work emphasizes developing robust decision-support tools for operational strategy analysis in constrained resource environments. Recent Work Trends : His publications from 2005–2011 emphasize multi-objective optimization, evolutionary algorithms, and spatial data modeling. Key themes include dynamic combinatorial problem-solving, ant colony systems, and applications in land-use planning and manufacturing systems. Advising & Grants : Currently accepting graduate applications in optimization and systems design. His research has addressed challenges in bioenergy planning, vehicle routing, and active suspension systems through interdisciplinary collaborations. Labs/Teams : Active within the Waterloo Institute for Sustainable Energy, focusing on bioenergy systems and sustainable resource management strategies.

• Virtual Reality
• Human-Computer Interaction
• Social Computing
• +۳ مورد دیگر

Daniel Harley serves as an Assistant Professor at the University of Waterloo's Stratford School of Interaction Design and Business , with cross-appointment status across Faculty units. His academic home bridges design, business, and technology disciplines within this specialized school. Harley's research critically examines virtual reality through multiple lenses: social dynamics in gaming environments, sensory design innovations, and the political economy of VR platforms. His work consistently challenges assumptions about embodiment, accessibility, and power structures in virtual spaces, with recent publications analyzing corporate framing (Apple Vision Pro), social inequality, and sensory reproduction in art contexts. Analysis of his 25 publications (2014-2025) reveals an evolution from technical implementations (2016-2018) toward critical social analysis (2023-2025). Key trends include: 1) Investigating how casual gamers navigate social expectations 2) Deconstructing corporate narratives around VR 'newness' 3) Designing for mental health and sensory inclusion 4) Exposing experiential disparities based on identity. His scholarship occupies the intersection of HCI, media studies, and critical design.

• Speech Perception
• Speech Production
• Hearing-Assistive Devices
• +۵ مورد دیگر

Ewen MacDonald is an Associate Professor at the University of Waterloo's Faculty of Engineering, affiliated with the Department of Biomedical Engineering. His research focuses on speech perception/production, hearing-assistive devices, and conversational dynamics in hearing-impaired populations. He holds a Ph.D. (2007) in Biomedical Engineering from the University of Toronto, with prior academic appointments at Queen's University and the Technical University of Denmark. Key research areas include: speech intelligibility in noise, auditory feedback control mechanisms, and timing analysis in interactive conversations. His work addresses hearing aid signal processing optimization and the perceptual consequences of aging/synaptopathy-induced hearing loss. Recent studies investigate audio-visual integration for humanoid robots, physiological measures of conversational engagement, and the impact of remote microphone technology on hearing-impaired communication. He teaches courses like BME 101L (Biomedical Visualization), BME 284 (Physiological Systems), and SYDE 740 (Human Systems). Education: Doctorate in Biomedical Engineering (2007), University of Toronto Master of Applied Science (2002), University of Toronto Bachelor of Applied Science (1999), University of Toronto Received the 2021 Distinguished Performance Award from the University of Waterloo's Faculty of Engineering. Current research explores real-time conversation analysis and wearable auditory assistive technologies.

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +۷ مورد دیگر

Xiaodan Zhu is an Associate Professor in the Department of Electrical and Computer Engineering at Queen's University, holding the Mitchell Professorship at the Ingenuity Labs Research Institute and serving as a Faculty Affiliate at the Vector Institute for Artificial Intelligence. He earned his Ph.D. in Computer Science from the University of Toronto (2010) and a Master's from Tsinghua University (2000). His research focuses on Natural Language Processing (NLP), Machine Learning, and AI, with notable contributions to sentiment analysis, adversarial attacks, legal decision-making, and medical text mining. Key research interests include semantic compositionality, calibration attacks on models, and robust reasoning in financial text. He has led projects funded by NSERC (Discovery Accelerator Supplement, Discovery Grants), JP Morgan, and the New Frontiers in Research Fund. Notable awards include the Adam Kilgarriff *SEM Best Paper Award (2015) and the Best Long Paper Award at the NAACL-2024 TrustNLP Workshop. Zhu supervises a dynamic team of graduate and undergraduate students, contributing to over 150 publications. His work spans adversarial machine learning, legal judgment prediction, and healthcare applications, with collaborations extending to industry partners like IBM, Amazon, and Samsung. He actively contributes to the academic community through editorial roles (e.g., Co-Editor-in-Chief of ACL Rolling Review) and organizing major conferences (e.g., SEMEVAL, EMNLP). Current research includes exploring robust reasoning models for financial text, legal AI applications, and advancing ensemble methods for NLP tasks. His lab’s innovations in calibration attacks and spatial reasoning with large language models reflect cutting-edge advancements in AI safety and capability.

John E. Lewisمشاهده پروفایل

استاد

• Systems Neurobiology
• Computational Neurobiology
• Electrophysiology
• +۶ مورد دیگر

John E. Lewis is a Full Professor in the Department of Biology at the University of Ottawa, affiliated with the Faculty of Science. His research focuses on systems neurobiology and computational neurobiology, particularly exploring how neural dynamics mediate sensory processing and behavior in weakly electric fish. His work spans electrophysiology, computational modeling, and quantitative behavior analysis. Education details are not explicitly provided, but his extensive publications suggest advanced training in neuroscience and biophysics. Research interests include the physics of electric fields in sensory systems, neural network energetics, and the biophysical mechanisms underlying electric organ discharges. His lab studies are supported by NSERC and the University of Ottawa. Notable collaborations include work on electrosensory signal processing and the development of tools like ELFENN and fish2eod . He advises numerous graduate and undergraduate students, with a focus on interdisciplinary projects combining biology, physics, and engineering. Labs/Teams: Lewis Lab (uOttawa) focuses on electric fish neurobiology, supported by NSERC grants. The lab acknowledges its location on unceded Algonquin territory.

Carolina Tropiniمشاهده پروفایل

استادیار

• Microbiome Research
• Inflammatory Bowel Disease
• Microbial Ecology
• +۲ مورد دیگر

Assistant Professor Carolina Tropini leads an interdisciplinary research group at the University of British Columbia with joint appointments in Biomedical Engineering and Microbiology & Immunology. Her laboratory investigates gut microbiome dynamics, focusing on how environmental perturbations affect microbial communities in health and disease. Research integrates microbiology, engineering, and computational approaches to study inflammatory bowel disease mechanisms, phage-bacteria interactions, and microbial responses to osmotic stress. The lab develops novel biosensors and microfluidic platforms to quantify microbial functions in real-time. Professor Tropini teaches undergraduate and graduate courses in biomicrofluidics and microbiome research methods, emphasizing experimental design and quantitative analysis. She maintains an inclusive lab culture through structured mentorship programs and equity initiatives.

Qiang Fuمشاهده پروفایل

دانشیار

• Sociology
• Chinese Studies
• Urban Sociology
• +۳ مورد دیگر

Dr. Qiang Fu is an Associate Professor of Sociology and Co-Director of the Centre for Chinese Research at the University of British Columbia (UBC). His research focuses on Chinese history discourse, urban social dynamics, legal-political systems, and urban governance. He holds affiliations with the School of Public Policy and Global Affairs and the Faculty of Arts at UBC. Dr. Fu's work bridges sociological theory with empirical analysis, addressing topics such as state-embedded gentrification, neighborhood conflicts, and the socio-spatial dimensions of mental health. His methodological expertise includes computational sociology, age-period-cohort modeling, and topic modeling. He has published in top-tier journals like the American Journal of Sociology and Sociological Methods & Research. Key Research Themes: Urban sociology, Chinese governance, computational methods, health disparities, and demographic analysis. Teaching: Courses in sociology, urban studies, and research methodology (see UBC course listings). Leadership: Co-Director of the Centre for Chinese Research, fostering interdisciplinary studies on contemporary China. His recent projects include analyzing adolescent marijuana trends in the U.S., spatial equity in education access, and the socio-political impacts of China’s urbanization. He emphasizes quantitative rigor and interdisciplinary collaboration in addressing complex social issues.

David Soaveمشاهده پروفایل

استادیار

• Statistical Genetics
• Predictive Modelling for Health Outcomes
• Two-Phase Study Design
• +۴ مورد دیگر

David Soave is an Assistant Professor at Wilfrid Laurier University's Faculty of Science, specializing in statistical genetics and predictive modeling for health outcomes. His research focuses on design and analysis of two-phase studies, with particular emphasis on clonal hematopoiesis, cancer risk prediction, and epigenetic biomarkers. His work bridges statistical methodology development and translational health research, aiming to improve early disease detection and understand genetic influences on aging and chronic conditions. Key research themes include leveraging cell-free DNA methylation and fragmentomic signatures for early cancer identification, investigating the role of psychosocial factors in cancer incidence through large-scale meta-analyses, and analyzing mutation dynamics in aging populations. His methods-driven approach has yielded novel insights into clonal evolution in blood systems and the genetic basis of cystic fibrosis-related complications. Publications highlight interdisciplinary applications of statistical genetics, including studies on pre-diagnosis breast cancer methylome profiling and the interplay between recombination events and gene expression. While no specific scientific awards are listed, his contributions to cancer biomarker research and two-phase study design demonstrate significant academic impact. David supervises student research in statistical methodology and health outcomes analysis, though specific advisee names are not provided in available materials. His office is located in LH3071 Lazaridis Hall, and he can be contacted via dsoave@wlu.ca for collaboration opportunities.

Xu Wangمشاهده پروفایل

استاد

• Automated Statistical Learning
• Data Mining
• Stochastic Process
• +۴ مورد دیگر

Xu (Sunny) Wang is a Professor in the Department of Mathematics at Wilfrid Laurier University, affiliated with the Faculty of Science. Their research focuses on automated statistical learning, stochastic processes (particularly self-exciting point processes), mixture models, and applications of applied statistics in health and economics. They teach various mathematics courses and actively engage in interdisciplinary research collaborations. Research interests include data mining methodologies for healthcare and business analytics, with recent emphasis on modeling terror attacks using self-exciting processes, sleep apnea diagnosis via neural networks, and analyzing periodic communication patterns. Their work spans statistical theory (e.g., nonparametric methods) and practical applications like emergency call clustering and economic efficiency studies in Ghana. Publications reflect a strong computational-statistical foundation, combining mathematical rigor with real-world problem-solving across disciplines. Supervision opportunities are available for students interested in statistical modeling, data science, and interdisciplinary research projects.

Colin Robertsonمشاهده پروفایل

دانشیار

• Spatial-Temporal Analysis
• Environmental Health
• Geographic Information Systems (GIS)
• +۳ مورد دیگر

Colin Robertson is an Associate Professor in the Department of Geography and Environmental Studies at Wilfrid Laurier University, where he previously served as Director of the Cold Regions Research Centre. He also leads data science initiatives at Boeing Vancouver, focusing on aerospace analytics. His research spans spatial-temporal analysis for ecosystem and human health, citizen science, and environmental monitoring. Robertson holds a Ph.D. in Geography from the University of Victoria, with earlier degrees from Simon Fraser University and BCIT. Education: B.A. (Honours) in Geography, Simon Fraser University, 2002 Advanced Diploma (Honours) in GIS, BC Institute of Technology, 2004 M.Sc. in Geography, University of Victoria, 2007 Ph.D. in Geography, University of Victoria, 2011 Research Interests: Spatial analysis of environmental and health systems, disease surveillance, climate change impacts, and geospatial data science. His work bridges traditional spatial analysis with machine learning, emphasizing practical applications in conservation, public health, and aerospace. Key Contributions: Founded the Spatial Lab to advance geospatial research, developed frameworks for emerging disease surveillance (e.g., RinkWatch citizen science project), and contributed to maritime intelligence systems at GSTS. His research integrates interdisciplinary methods to address real-world challenges in environmental systems. Labs & Collaborations: Director of Cold Regions Research Centre, leading projects on Arctic ecosystems and climate change. Collaborates with governments, NGOs, and industry on spatial data solutions, including Boeing’s aerospace maintenance analytics. Awards & Recognition: No specific awards listed, but recognized for innovative applications in spatial data science across academia and industry.

Alan Kingstoneمشاهده پروفایل

استاد

• Cognitive Ethology
• Social Attention
• Extended Reality
• +۶ مورد دیگر

Alan Kingstone is a Professor and Distinguished University Scholar at the University of British Columbia (UBC) in the Department of Psychology, Faculty of Arts. He holds a PhD from the University of Manchester (1990) and directs the Brain, Attention and Reality (BAR) Lab, pioneering methods in attention and cognitive ethology that bridge lab research with real-world human interactions. Education: PhD, University of Manchester, 1990 His research integrates cognitive science with social attention, brain-behavior relationships, and extended reality. The BAR Lab employs techniques like eye tracking, brain imaging, and motion capture across populations including children, patients, and adults. Recent work explores how digital environments modulate attention, mind perception, and social behavior through VR and real-world experiments. The 15 most recent publications span attentional mechanisms in VR, social cognition, and perceptual biases. Key themes include the interplay between gaze behavior, spatial awareness, and cognitive load, with applications to environmental psychology, autism spectrum traits, and human-robot interaction. Scientific Awards: Donald O. Hebb Distinguished Contribution Award (2020) Royal Society of Canada Fellow (2012) Association for Psychological Science Fellow (2007) Distinguished University Scholar, UBC (2004) Killam Faculty Research Fellowship (2004) Killam Faculty Research Prize (2002) Kingstone has held leadership roles including Head of UBC’s Psychology Department (2011-2014) and VP Research Advisor for SSHRC (2014-2020). He co-founded the Annual Review of Cognitive Neuroscience and served on editorial boards of top journals. The BAR Lab at UBC investigates attentional dynamics through multidisciplinary approaches, involving collaborators like Dr. Tom Foulsham. Recent projects examine gaze signaling, social presence in VR, and cognitive strategies in joint tasks.