جستجوی استاد راهنمای دانشگاهی

Gordon McTaggart-Cowan is an Associate Professor and Associate Director in the School of Sustainable Energy Engineering at Simon Fraser University (SFU). He holds a Ph.D. (2006), M.A.Sc. (2002), and B.Eng. (1999) in Mechanical Engineering from the University of British Columbia and the University of Victoria. His research focuses on clean, low-carbon transportation technologies, including vehicle modeling, renewable gaseous fuels, and emissions control in internal combustion engines. He has pioneered work on hydrogen-diesel dual-fuel systems, natural gas engine optimization, and high-pressure fuel injection strategies. Recent publications highlight advancements in hydrogen compression systems, hybrid electric truck performance analysis, and thermoelectric energy harvesting. He has contributed to over 50 peer-reviewed articles and holds multiple patents on fuel injection and combustion control technologies. McTaggart-Cowan is an Associate Editor for the Proceedings of the Institution of Mechanical Engineers, Part D and collaborates internationally through visiting fellowships at Loughborough University and Michigan Technological University. Teaching responsibilities include fluid mechanics, thermodynamics, and sustainable energy design projects. His work aligns with global efforts to decarbonize heavy-duty transport and stationary power systems through innovative engine design and alternative fuel integration.

• Clean, low-carbon transportation
• Vehicle technology modelling and assessment
• Renewable gaseous fuels
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Dr. Chun Peng is a Full Professor and Tier 1 York Research Chair in Women's Reproductive Health in the Department of Biology at York University. He leads the Peng Lab, focusing on female reproduction, ovarian cancer, and placental development. His research employs molecular biology, biochemistry, and bioinformatics to explore growth factors, hormones, and miRNAs in reproductive health disorders like preeclampsia and ovarian cancer. Education: PhD from the University of Alberta, M.Sc. and B.Sc. from Zhongshan University, China. Research Interests: Molecular mechanisms of ovarian cancer, miRNA regulation in reproduction, and novel therapies targeting β-catenin inhibitors. Current projects include placental signaling networks, circular RNAs in cancer, and zebrafish ovarian development. Funding: Supported by Canadian Institutes of Health Research, NSERC, Cancer Research Society, and York University. The lab has produced over 100 publications and trained numerous graduate students and postdocs. Awards: Tier 1 York Research Chair (2022). Lab members have received scholarships like NSERC, OGS, and York Graduate Scholarships. Lab Infrastructure: Bioinformatics tools for miRNA analysis, ImageJ plugins for cell counting, and collaborations in plasmonic nanoparticle biosensors.

• Female Reproduction
• Molecular Biology
• Cell Biology
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Marcus A. Brubaker is an Associate Professor at York University's Department of Electrical Engineering and Computer Science within the Lassonde School of Engineering. He also holds an Adjunct Professor status at the University of Toronto's Department of Computer Science and serves as a Research Scientist at Google DeepMind. His primary affiliations include co-directorship of the Computational Vision and Imaging Lab (CVIL) at York University and membership in the Vector Institute as a Faculty Affiliate. Brubaker's research spans Computer Vision, Machine Learning, Statistics, and their applications to problems like cryo-electron microscopy (cryo-EM) and 3D molecular reconstruction. Education: He earned a Ph.D. in Computer Science from the University of Toronto (2011), with a thesis on physical models of human motion. His M.Sc. (2006) and B.Sc. (2004) in Computer Science were also from the University of Toronto. Research focuses include cryo-EM structure determination (notably the cryoSPARC software), normalizing flows, and probabilistic modeling. His work bridges computational imaging, statistical inference, and deep learning. Key contributions include advancements in cryo-EM algorithms, generative models, and camera noise analysis. He co-founded Structura Biotechnology and has contributed to open-source tools like Stan's math library. Publications emphasize novel view synthesis, neural radiance fields, sensor noise modeling, and cryo-EM reconstruction techniques. His research trends highlight integration of physics-based models with machine learning for solving complex imaging problems. Awards and recognition include impactful contributions to cryo-EM through cryoSPARC, a Nature Methods paper in 2017, and leadership in academic-industrial collaborations. Brubaker's labs and teams focus on advancing imaging technologies and their applications in structural biology and computer vision.

• Computer Vision
• Machine Learning
• Statistics
• +۳ مورد دیگر

Professor Damien Masson is an Assistant Professor in Human-Computer Interaction (HCI) at the Université de Montréal , affiliated with Mila and IVADO . He leads the Montréal HCI group and focuses on interactive systems for AI, document interaction, and software learning. His research bridges HCI principles with AI to enhance user experience in complex applications. Education : PhD in Computer Science (University of Waterloo, 2019-2023), MSc in Computer Science (Université de Lille, France), BSc in Computer Science (Université de Lille, France). Research Interests : Designing intelligent systems (e.g., DirectGPT), visualizing information (e.g., Charagraph/ChartDetective), and augmenting digital documents (e.g., Chameleon). He explores how interface metaphors and direct manipulation can improve interactions with AI and data. Recent Work : His 2025 CHI papers introduced Textoshop (drawing-inspired text editing) and linked writing tools to user needs. In 2024, DirectGPT demonstrated faster LLM interactions via direct manipulation. Earlier work includes Statslator (statistical reporting) and ChartDetective (data extraction from vector charts). Awards : 2024 Bill Buxton Award (best HCI dissertation), 2023 CHI Best Paper (ChartDetective), and 2020 CHI People's Choice Award (Chameleon demo). Lab & Collaborations : Based in the André-Aisenstadt building, his group collaborates with institutions like Mila and UWaterloo. He actively mentors students in HCI and AI-related projects.

• Human-Computer Interaction (HCI)
• Human-AI Interaction
• Information Visualization
• +۴ مورد دیگر

Vincent Dagenais-Beaulé is a Visiting Professor at the Faculty of Pharmacy, Université de Montréal since 2021. He is a clinician in psychiatry and palliative care at the CIUSSS Centre-Ouest-de-l'Île-de-Montréal since 2016. His research at the Lady Davis Institute focuses on antipsychotic use in vulnerable populations, especially the elderly. He supervises Pharm.D. and M.Sc. students in clinical practice and chairs the Quebec Association of Hospital Pharmacists’ psychiatric experts group. Education: Pharm.D., 2014 M.Sc., 2015 Research Interests: Psychotropic medications, geriatric pharmacotherapy, pharmacokinetics of psychotropics, mental health interventions, and clinical governance of psychotropic use in hospitalized elderly populations. His work emphasizes cardiometabolic risk monitoring in psychiatric patients and opioid prescription practices post-surgery. Professional Roles: President, Regroupement des pharmaciens experts en psychiatrie (RPE) Scientific committee member for McGill’s palliative care conference Executive committee member for the 23rd International Congress on Palliative Care Lab/Affiliation: Researcher at the Lady Davis Institute, Jewish General Hospital, Montreal.

• Psychopharmacology
• Geriatric Medicine
• Mental Health
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Chi Liao is an Associate Professor and The Associates Fellow in Finance at the Asper School of Business within the University of Manitoba , affiliated with the Accounting & Finance Department. Her research focuses on behavioral finance, household finance, and corporate decision-making, emphasizing how psychological, social, and environmental factors influence financial behaviors. She holds a Ph.D. in Finance from the University of Toronto (2014), a B.Math from the University of Waterloo (2008), and a B.B.A. in Finance from Wilfrid Laurier University (2008). Her work explores topics such as racial disparities in financial decisions, the impact of sentiment on stock markets, and how ADHD symptoms correlate with financial distress. Her research has been published in leading journals like Review of Finance and Journal of Business Venturing , and she has been featured in media outlets such as the Wall Street Journal and CNBC. Recent studies highlight her focus on societal issues, including generational race-based trauma and gender socialization effects on investment choices. She also investigates fraud experiences and their behavioral consequences, as well as the interplay between risk-taking behaviors and market dynamics. Her interdisciplinary approach bridges psychology, entrepreneurship, and economics to address real-world financial challenges. No scientific awards are explicitly listed in the provided materials. Her advising and grants are not detailed, though her publications suggest active scholarly collaboration. She is based at the Drake Centre, Room 458, and can be contacted at chi.liao@umanitoba.ca.

• Behavioral Finance
• Household Finance
• Corporate Finance
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Selcuk Ozyurt is an Associate Professor in the Department of Economics at York University's Faculty of Liberal Arts & Professional Studies. He holds a PhD in Economics from New York University, an MA from Bogazici University, and a BS in Mathematics from Bogazici University. His primary research focuses on Microeconomic Theory including game theory, mechanism design, and industrial organization, with secondary interests in conflict resolution, development economics, and experimental economics. His research explores strategic interactions in economic systems, market design imperfections, and behavioral responses in negotiations. Recent work examines mediation mechanisms, educational interventions in developing economies, and reputation dynamics in buyer-seller relationships. Ozyurt maintains an extensive YouTube channel with lecture series covering intermediate microeconomics, advanced game theory, and graduate-level economic theory. Ozyurt is currently accepting new graduate students. His teaching portfolio includes Intermediate Microeconomics II, Advanced Microeconomics, Game Theory, and Advanced Game Theory, utilizing innovative pedagogical approaches through structured video lectures and problem-solving exercises.

• Microeconomic Theory
• Game Theory
• Mechanism Design
• +۶ مورد دیگر

Jeff Defoe is a Professor in the Department of Aerospace Engineering at the University of Windsor's Faculty of Engineering. His research focuses on advancing aerospace and mechanical engineering through computational fluid dynamics (CFD), turbomachinery optimization, and aeroacoustics. He collaborates with jet engine manufacturers to enhance aircraft efficiency and has pioneered low-cost ventilator designs for global health applications. Defoe is a recipient of the 2016 Medal of Excellence for dedication to the Faculty of Engineering. His work integrates theoretical, numerical, and experimental methods to address challenges in fan/compressor performance, automotive thermal management, and crosswind effects on aerodynamic systems. Defoe has mentored the University of Windsor Rocketry Team, which achieved third place in an international competition in 2017. His research spans applications from aerospace propulsion systems to sustainable automotive engineering solutions. Key contributions include body-force modeling techniques for turbomachinery, nonlinear control systems for automotive air conditioning, and predictive models for gas turbine dynamics. His publications emphasize innovations in CFD algorithms, turbulence modeling, and noise reduction strategies for high-performance systems.

• Aerospace Engineering
• Fluid Dynamics
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Professor Jill Urbanic is a faculty member in the Department of Mechanical Engineering at the University of Windsor’s Faculty of Engineering. Her research focuses on additive manufacturing, robotics, ergonomics, and sustainable design. She has coordinated capstone projects and advised numerous students, including those involved in innovations like 3D-printed medical devices, sustainable material handling solutions, and ergonomic studies in agriculture. She received notable awards such as the Wighton Fellowship (2013) for innovative teaching and Tech Researcher of the Year (2021). Her work integrates advanced manufacturing techniques with real-world applications, including collaborations with local industries and responses to crises like the COVID-19 pandemic. She has led projects on residual stress analysis in additive manufacturing, robotic automation for textiles, and musculoskeletal risk mitigation in manual labor. Prof. Urbanic also co-founded CAMufacturing Solutions, emphasizing practical industry-academia partnerships. Her teaching emphasizes hands-on laboratory experiences, such as robotic arm design, CAD/CAM applications, and material prototyping. She has organized interdisciplinary events like the WE-Spark think tank and contributed to open house initiatives to engage prospective students. Collaborations with peers like Dr. Duncan Lam highlight her cross-disciplinary creativity, blending engineering with art and storytelling.

• Additive Manufacturing
• Robotics and Automation
• Ergonomics and Biomechanics
• +۴ مورد دیگر

Dr. Janet Dancey is a Professor in the Department of Oncology at Queen's University and Director of the Canadian Cancer Trials Group (CCTG). She holds key appointments as Attending Staff at Kingston General Hospital and Hotel Dieu, and as Program Leader for High Impact Clinical Trials at the Ontario Institute for Cancer Research. Her clinical focus is on gastrointestinal cancers, with expertise in translational research, experimental therapeutics, and clinical trial methodology. Dr. Dancey leads initiatives such as the Melanoma Disease Site Committee at CCTG and chairs the CCO-OICR Experimental Therapeutics and Translational Research Network. Her research emphasizes Phase I/II trials, pharmacodynamic marker development, and genomics-driven approaches to cancer therapy. She has pioneered efforts to improve clinical trial accessibility through frameworks like CRAFT (Canadian Remote Access Framework for Clinical Trials) and contributed to global oncology initiatives such as the Marathon of Hope Cancer Centres Network. Her work addresses barriers to trial participation, including strategies for community cancer centers and rare cancer populations. Dr. Dancey’s academic contributions span over 150 peer-reviewed articles, focusing on biomarker-driven therapies, immunotherapy combinations, and adaptive trial designs. She advocates for standardized response criteria (e.g., iRECIST) and collaborates internationally to advance precision oncology. Her educational efforts include training clinician scientists in clinical trial design and implementation, ensuring rigorous methodological standards in oncology research.

• Clinical Trials
• Oncology
• Translational Research
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George S. Cree is an Associate Professor at the University of Toronto at Scarborough , specializing in Perception, Cognition, and Cognitive Neuroscience . His research bridges Cognitive Science and Neural Network Modeling , focusing on how neurobiological constraints inform computational models of the mind. Research Interests : Computational mechanisms of meaning acquisition from sensory input Neural network frameworks integrating neurobiology and cognition Semantic cognition and knowledge representation Pathways toward Artificial General Intelligence

• Perception
• Cognition
• Cognitive Neuroscience
• +۵ مورد دیگر

Patricia Park serves as a tenured Professor of Creative Writing at American University, where she combines her academic expertise with a distinguished literary career. Recognized as a Fulbright Scholar in Creative Arts and Jerome Hill Artist Fellow, her work bridges academia and contemporary fiction with particular focus on multicultural identity formation. Her research interests span creative writing pedagogy, young adult literature, and Korean American cultural studies, with recurring examinations of identity politics and cultural assimilation. Park's scholarship manifests primarily through her critically acclaimed novels that explore the complexities of navigating multiple cultural expectations in modern America. Analysis of her publications reveals an evolution from adult literary fiction toward targeted young adult works addressing specific identity challenges. Her writing consistently examines intersectional experiences through accessible narratives that resonate with both academic and general audiences. Her distinguished honors include: Fulbright Scholar in Creative Arts Jerome Hill Artist Fellow American Library Association award (for Re Jane) New York Times Book Review Editors' Choice (for Re Jane) O, The Oprah Magazine pick (for Re Jane) NPR Fresh Air pick (for Re Jane) NPR Book of the Day (for Imposter Syndrome) As an educator, Park mentors emerging writers in developing authentic voices that reflect diverse cultural experiences. Her upcoming projects continue to expand exploration of Korean American identities through innovative frameworks including culinary arts and stand-up comedy, demonstrating her commitment to evolving literary representation.

• Creative Writing
• Fiction Writing
• Young Adult Literature
• +۳ مورد دیگر

Julie Prytulak is a Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia (UBC), affiliated with the Faculty of Science. Her research focuses on inorganic geochemistry, particularly isotope geochemistry, magma processes, and subduction zone dynamics. She holds a Ph.D. from the University of Bristol (2008), M.S. from Washington State University (2004), and B.Sc. (Honors) in Geology from Carleton University (2002). Her research interests include magma generation on Earth and other planets, element transfer in subduction zones, subduction initiation, and metal transport in surface/near-surface environments. She develops novel analytical methods, such as stable isotope techniques for tracing geochemical processes. Recent work emphasizes rhenium and vanadium isotopes to study oxidative weathering, magmatic evolution, and crustal differentiation. Her 15 most recent articles (2024–2022) span topics like rhenium isotope behavior in Icelandic systems, vanadium fractionation in plutonic rocks, and nitrogen isotope dynamics in magmatic systems. These studies highlight her expertise in linking experimental mineralogy with isotopic data to address fundamental and applied geoscientific questions. Prytulak advises graduate students (e.g., M.A. Stow, W. Wang) and collaborates widely, with funding supporting projects on subduction zone processes and isotope geochemistry. She contributes to research groups at UBC and international initiatives like IODP Expedition 352, focusing on subduction initiation. Her work bridges traditional geochemistry with cutting-edge analytical techniques, advancing understanding of Earth’s dynamic systems.

• Isotope Geochemistry
• Magma Generation and Evolution
• Subduction Zones
• +۳ مورد دیگر

Mohamed Shehata is a Professor in the Department of Computer Science, Mathematics, Physics, and Statistics at the University of British Columbia's Irving K. Barber Faculty of Science. He holds an adjunct professorship at Memorial University of Newfoundland's Computer Engineering Department. His research focuses on computer vision, biomedical applications, and intelligent camera systems. He earned his B.Sc. (Zagazig University), M.Sc. (Zagazig University), Ph.D. (University of Calgary), and P.Eng. licensure. Previously, he worked at Intelliview Technologies Inc. as Vice President of Engineering and Research. He has held roles as an assistant and associate professor at Memorial University before joining UBC in 2019. He serves as Editor-in-Chief of the IEEE Canadian Journal of Electrical and Computer Engineering and has contributed to over 70 peer-reviewed publications. His work spans video surveillance systems, domain generalization, and medical imaging applications. Education: B.Sc. (Honors), Zagazig University M.Sc., Computer Engineering, Zagazig University Ph.D., University of Calgary Research Interests: He explores cutting-edge topics like federated learning for domain adaptation, biomedical image analysis, and lightweight neural networks for embedded systems. His recent work emphasizes cross-domain generalization and few-shot learning for medical diagnostics and object tracking. Professional Contributions: Dr. Shehata has supervised graduate students and led projects in computer vision applications. His publications bridge theoretical advancements with practical systems like drone-based surveillance and IoT healthcare devices. He actively contributes to IEEE committees and academic journal editing.

• Computer Vision
• Image and Video Processing
• Biomedical Applications
• +۴ مورد دیگر

Lele Wang is an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at the University of British Columbia (UBC), Vancouver. He is affiliated with the Mathematics of Information, Learning and Data (MILD) research cluster and the Institute of Applied Mathematics. His research focuses on information-theoretic approaches to data science and machine learning, with contributions to universal compression, coding theory, statistical inference on graphs, and noisy computing. Before UBC, he held postdoctoral positions at Stanford University, Tel Aviv University, and as an NSF Center for Science of Information fellow. Education: PhD in Electrical Engineering from the University of California San Diego (2015), B.E. in Academic Talent Program from Tsinghua University (2009). Research Interests: Developing tools in information theory, coding theory, high-dimensional statistics, combinatorics, random graphs, and deep generative models for data-driven challenges. Notable works include universal graph compression for stochastic block models and coding-theoretic approaches to distributed machine learning. Awards: Recipient of the 2017 IEEE Information Theory Society Thomas M. Cover Dissertation Award and NSF CSoI Postdoctoral Fellowship. His students have won multiple awards including GSI Awards and NSERC grants. Mentoring: Prioritizes student development in critical and creative thinking, offering courses in real analysis, probability theory, and theoretical frameworks. Hosts round-robin group meetings inspired by Thomas Cover to foster concise communication and problem-solving skills.

• Information Theory
• Machine Learning
• Data Science
• +۷ مورد دیگر