جست‌وجوی استاد و پژوهشگر

Sheldon Andrewsمشاهده پروفایل

دانشیار

• Real-time physics simulation
• Articulated mechanism simulation
• 3D character animation
• +۵ مورد دیگر

Sheldon Andrews is an Associate Professor of Software Engineering and IT at École de technologie supérieure (ETS) in Montreal, Canada, with an adjunct appointment in Computer Science at McGill University. He is a member of the Multimedia Research Laboratory and has established himself as a leading researcher in physics-based computer animation and simulation. Andrews earned his Ph.D. in Computer Science from McGill University (2015), MASc in Electrical and Computer Engineering from the University of Ottawa (2007), and B.Eng. in Computer Engineering from Memorial University (2004). His academic journey reflects a strong foundation in both theoretical and applied aspects of computer engineering and graphics. His research focuses on real-time physics simulation, articulated mechanism simulation, 3D character animation, motion capture, computational contact mechanics, and virtual environment modeling. Andrews' work bridges the gap between theoretical physics and practical applications in computer graphics, with particular emphasis on creating physically plausible animations that can run in real-time. His research has significant implications for video games, virtual reality, and robotics applications. Analysis of his recent publications (2022-2025) reveals a strong trend toward increasingly sophisticated physics-based character animation techniques, with growing integration of machine learning approaches. His work spans multiple subfields including collision detection, deformable object simulation, vehicle physics, and reinforcement learning for character control, demonstrating both breadth and depth in his research program. VRIPHYS 2012 best paper award for 'Policies for goal directed multi-finger manipulation' Andrews has advised numerous graduate students through their PhD and Master's degrees, with many going on to positions at major companies like DNEG, CM Labs Simulations, and AMD. His professional service is extensive, having served as Program Chair for SCA 2025 and MIG 2024, Conference Chair for I3D 2019, and on program committees for major conferences including SIGGRAPH, SCA, and MIG for multiple years. He has also been active in the Montreal SIGGRAPH Chapter as Secretary from 2018-2021. As a core member of the Multimedia Research Laboratory, Andrews collaborates with researchers across multiple disciplines to advance the state of the art in physics-based simulation. His lab maintains strong industry connections, including a visiting researcher position at Roblox Research, ensuring that theoretical advances translate to practical applications in gaming and virtual environments.

Eunsik Kimمشاهده پروفایل

استاد

• Ergonomics
• Biomechanics
• Human Factors Engineering
• +۵ مورد دیگر

Eunsik Kim is a Professor at the University of Windsor , holding a position in the Department of Mechanical, Automotive, and Materials Engineering within the Faculty of Engineering . His research focuses on ergonomics, occupational safety, and biomechanics, with applications in automotive design, workplace safety, and human-machine interaction. He leads the Occupational Safety and Ergonomics research lab , where students explore real-world solutions for challenges such as driver fatigue, musculoskeletal risks in manual labor, and automation in agriculture. Key research interests include: Ergonomics : Optimizing workstation designs, automotive seating, and anti-vibration tools Biomechanics : Analyzing human posture, musculoskeletal loading, and workplace ergonomics Machine Learning : Developing AI-driven systems for posture recognition, workload prediction, and task automation Autonomous Vehicles : Investigating human factors in driving automation and takeover scenarios Education Innovation : Gamification in engineering labs to enhance student motivation and learning Collaborations include projects with Ewha Womans University (South Korea) on autonomous vehicle comfort and a prototype robotic system for mushroom harvesting. His work often bridges theoretical research with practical applications, addressing both industry and academic challenges. Awards and Recognition: Students Ilfeoma Michael and Elnaz Akhavan Rezaee received accolades at the Association of Canadian Ergonomists conference for their lab research Advising and Grants: Professor Kim mentors students in interdisciplinary projects, focusing on ergonomics, robotics, and AI. His research has led to innovations in workplace safety and automated systems, supported by institutional and collaborative funding. Labs/Teams: The Occupational Safety and Ergonomics Lab and partnerships with South Korean institutions drive cutting-edge studies in automotive safety, robotics, and human factors engineering.

• Urban Resilience
• Environmental Planning
• Climate Change Adaptation
• +۳ مورد دیگر

Isabelle Thomas is a Full Professor at the School of Urban Planning and Landscape Architecture, Faculty of Urban Planning, University of Montréal. Her research focuses on urban resilience, environmental planning, and climate change adaptation, with a particular emphasis on vulnerability analysis and flood risk management in urban areas. She leads projects funded by agencies like FRQSC and CRSH, collaborating with organizations such as the Quebec Ministry of Public Safety. Education: - Ph.D. in Geography from Sorbonne University, Paris (Thesis: Urban Sprawl and Industrial Brownfields in Ohio Cities) - Postdoctoral Fellowship at the University of Louisville (2001–2003) - Former Professor at Universities of Houston and New Orleans, and Visiting Professor at Virginia Tech. Research Interests: Her work integrates action research and theoretical inquiry, emphasizing community engagement in resilience-building. Key areas include: - Flood resilience strategies and urban planning - Development of vulnerability assessment tools (e.g., RésiliAction) - Green infrastructure for climate adaptation - Post-disaster reconstruction frameworks Publications: Her 2017 co-edited book La ville résiliente: Comment la construire? outlines foundational principles for resilient communities. Recent articles address topics like eco-districts, urban flood resilience, and participatory disaster recovery processes. Awards: - 2004 Prix Eugène Gallois for her book Étalement urbain et friches industrielles . Grants & Teams: - Leads the ARIACTION research team (Adaptation-Resilience-Innovation-Action) - Co-founded the Observatoire Ivanhoé Cambridge du développement urbain - Collaborates with international networks like i-Rec and AFPCN. Labs & Projects: - Developed the COPARI T-REX initiative for post-flood learning - Involved in the RIISQ network for flood risk management research

Alla Konnikovمشاهده پروفایل

استادیار

• Sociology of Work
• International Migration
• Gender Studies
• +۵ مورد دیگر

Dr. Alla Konnikov is an Assistant Professor of Sociology at Concordia University of Edmonton (CUE), affiliated with the Department of Social Sciences in the Faculty of Arts. Her expertise focuses on the sociology of work, international migration, gender, and intersectionality, with recent work examining AI's impact on labor market inequalities. She holds a PhD from the University of Calgary (2019), an MA from the University of Haifa (2010), and a BA in Sociology/Anthropology and Communication (2007). Research interests include labor market dynamics, immigrant integration, gendered career trajectories, and the application of quantitative/qualitative methods. She teaches courses on work sociology, migration, inter-group relations, and social statistics. Her research has been published in journals like Canadian Review of Sociology and Journal of International Migration and Integration , with recent contributions to AI ethics through the BIAS project addressing gender bias in job advertisements and labor market equality. Dr. Konnikov collaborates on multidisciplinary initiatives like the BIAS project, investigating algorithmic fairness in hiring practices. She is part of Concordia’s research ecosystem, contributing to initiatives at the Allan Wachowich Centre for Science, Research, & Innovation.

Faezeh Ensanمشاهده پروفایل

استادیار

• Information Retrieval
• Knowledge Engineering
• Semantics
• +۳ مورد دیگر

Faezeh Ensan is an Assistant Professor at Toronto Metropolitan University, specializing in Information Retrieval, knowledge engineering, and data science applications in software engineering. She holds a B.Sc. from the University of Tehran (2004), M.Sc. from Ferdowsi University of Mashhad (2006), and Ph.D. from the University of New Brunswick (2011). Her research focuses on semantic technologies, ad hoc retrieval systems, and ontology evaluation. B.Sc., University of Tehran, 2004 M.Sc., Ferdowsi University of Mashhad, 2006 Ph.D., University of New Brunswick, 2011 Her work bridges semantic web, machine learning, and information systems, with notable contributions to entity-based retrieval and modular ontology evaluation. She has been funded by NSERC, Mitacs, and ACOA, and has held prestigious fellowships including the NSERC Industrial Research Fellowship (2014-2016). Recipient of NeOn Student Prize for Best Paper at EKAW 2008 Editor of Canadian Semantic Web: Technologies and Applications (2010) Her advising and grants include collaborations with industrial partners through NSERC and Mitacs projects. She teaches courses like COE528 and COE848, emphasizing object-oriented engineering and data engineering fundamentals.

Vincent DePaulمشاهده پروفایل

استادیار

• Cerebrovascular sciences (including stroke)
• Neurosciences
• Rehabilitation medicine
• +۶ مورد دیگر

Dr. Vincent DePaul is an Assistant Professor in the School of Rehabilitation Therapy at Queen's University, with affiliations including the Faculty of Health Sciences, the Human Mobility Research Centre, and the Centre for Neuroscience Studies. His research focuses on interventions for gait and balance recovery in stroke survivors and older adults, emphasizing motor learning principles and wearable technology applications. He holds cross-appointments as an Associate Scientist in Health Services and Policy Research and Associate Professor in Rehabilitation Therapy. Education: Doctorate of Philosophy (2013), Rehabilitation Science, McMaster University Bachelor of Health Science (1990), Physiotherapy, McMaster University Diploma in Physiotherapy (1989), Mohawk College Research Interests: Cerebrovascular sciences, neurorehabilitation, stroke recovery, aging, motor learning, and community-based interventions. His work explores therapeutic strategies like feedback, guidance, and wearable technology to enhance mobility recovery. Key Contributions: Developed the Oasis Senior Supportive Living model for aging-in-place and led the OSCAIL study to improve stroke care in low-resource settings. Active in global health initiatives and rehabilitation technology development. Affiliations: Member, Human Mobility Research Centre (2017–present) Associate Scientist, Health Services and Policy Research Institute (2018–present) Research Affiliate, Providence Care Hospital (2016–present) Teaching: Teaches foundational clinical skills and motor performance in rehabilitation at Queen's University.

Daniel Layton-Matthewsمشاهده پروفایل

دانشیار

• Geochemistry
• Mineral Exploration
• Isotope Geochemistry
• +۲ مورد دیگر

Daniel Layton-Matthews is an Associate Professor in Geological Science and Geological Engineering at Queen's University. His research program investigates chemical indicators in sedimentary rocks, post-depositional modification of minerals, and geochemical dispersion patterns for mineral exploration. Current research examines trace element signatures in ancient ore systems, with field sites including the Canadian Shield, Australian playa uranium deposits, and marine ferromanganese formations. His group develops analytical methods for in-situ geochemical analysis and isotopic tracing of element migration pathways. Research collaborations span industry partners and government geological surveys. Fieldwork integrates drone-based sampling techniques and advanced laboratory analysis including LA-ICP-MS and isotope ratio measurements.

Kayll Lakeمشاهده پروفایل

استاد

• General Relativity
• Relativistic Astrophysics
• Computer Algebra
• +۳ مورد دیگر

Kayll Lake is a Professor in the Department of Physics, Engineering Physics & Astronomy at Queen's University in Kingston, Ontario, Canada. He is affiliated with the Faculty of Astronomy, Astrophysics & Relativity under the Arts & Science school. His contact information includes an email at lakek@queensu.ca and a phone number: 613-533-2720. His academic genealogy traces back to doctoral advisors Werner Israel and John Lighton Synge, with a genealogy PDF available. Education: PhD (University of Toronto) Research Interests: General Relativity Relativistic Astrophysics Computer Algebra Black Hole Physics Gravitational Collapse Recent studies include the propagation of discontinuities in solutions to Einstein’s equations (cosmological structure formation) and the dynamics of gravitational collapse leading to naked singularities. His work emphasizes integrating computational tools with theoretical frameworks to advance understanding of astrophysical processes and cosmology. Publications reflect a focus on applying computer algebra to Einstein’s equations and exploring foundational questions in relativistic astrophysics. He has advised three students: Dr. S. M. M. Rahman in 2018, 2019, and 2020. No grant or award information is explicitly provided. Office: STI 308G, Stirling Hall, 64 Bader Lane, Kingston, ON KL7 3N6.

Michael Reimerمشاهده پروفایل

دانشیار

• Quantum Optics
• Quantum Photonics
• Semiconductor Nanowires
• +۳ مورد دیگر

Michael Reimer is an Associate Professor at the University of Waterloo, affiliated with the Institute for Quantum Computing (IQC). His primary role involves advancing quantum photonic technologies through experimental and theoretical research. He is a full-time faculty member with expertise in semiconductor nanowire-based devices, quantum dot systems, and their integration with atomic ensembles for quantum communication applications. His research interests focus on developing high-efficiency single-photon sources and detectors, metamaterials for photonic applications, and leveraging cold atoms in hollow-core fibers to enhance quantum state manipulation. He also explores hybrid quantum-classical systems, particularly in optimizing signal-to-noise ratios (SNR) and mitigating nonlinear impairments in optical networks. His work bridges fundamental quantum optics with practical implementations in quantum computing and secure communication systems. Recent articles highlight trends toward achieving near-unity absorption in metamaterials, on-demand photon generation with quantum dots, and probabilistic constellation shaping for optical networks. While no scientific awards are explicitly mentioned, his contributions to quantum photonic devices are notable. No specific grants or advisees are detailed in the provided text, but his affiliation with IQC suggests involvement in collaborative research projects. He is affiliated with the Institute for Quantum Computing, a leading academic unit at the University of Waterloo.

• High-Performance Computing
• Distributed Systems
• Graph Algorithms
• +۳ مورد دیگر

Tahsin Reza is an Assistant Professor at the University of Waterloo, affiliated with the Faculty as a full-time member. His research focuses on high-performance computing, distributed systems, and large-scale graph processing. His work emphasizes algorithmic optimization for irregular parallelism, distributed approximation algorithms, and efficient handling of massive graphs with billions of edges. Key research interests include developing frameworks like YGM for HPC, HyGN for NUMA architectures, and tools such as PruneJuice for graph pruning. His contributions span graph algorithms for Steiner trees, temporal graphs, and metadata-driven pattern matching. He has extensively explored GPU and hybrid CPU-GPU systems to accelerate graph processing tasks in domains like InSAR data analysis and VANET tracking. No scientific awards or grants are explicitly mentioned in the provided materials. His work has been published in top venues, consistently addressing challenges in scalability, efficiency, and real-world applicability of graph-based solutions.

Dmitry Pushinمشاهده پروفایل

دانشیار

• Neutron Physics
• Quantum Information Science
• Condensed Matter Physics
• +۴ مورد دیگر

Dmitry Pushin is an Associate Professor at the University of Waterloo and a Faculty member of the Institute for Quantum Computing (IQC). He holds a PhD in Physics from MIT (2006), and prior degrees from Moscow Institute of Physics and Technology (BSc 1995, MSc 1997). His research focuses on advancing neutron interferometry to address fundamental physics questions, including quantum information science, condensed matter physics, and dark energy studies. He explores applications like magnetic material characterization and spintronics development, with recent work on chameleon scalar field constraints via neutron experiments. Teaching includes courses such as MNS 321 (Electrical/Optical Properties of Materials), MNS 410 (Special Topics in Solid-State Materials), and graduate courses in Quantum Information Processing (QIC 890). His experimental work leverages neutron optics to study quantum coherence effects at macroscopic scales, with contributions to structured neutron waves and precision measurements. Key research areas include quantum information processing, magnetic materials, and fundamental physics inquiries like Born’s Rule verification. His team pioneered methods for neutron orbital angular momentum (OAM) generation and applied interferometry to study novel materials. Recent advancements include high-precision silicon interferometer fabrication and PROSPECT experiment contributions in antineutrino physics. Notable collaborations involve the PROSPECT reactor antineutrino experiment, focusing on short-baseline oscillations and dark matter limits. He also explores human perception of structured light phenomena, linking quantum optics to vision science.

Derek Wilsonمشاهده پروفایل

استاد

• Protein Dynamics
• Microfluidics
• Time-resolved Mass Spectrometry
• +۷ مورد دیگر

Derek Wilson is a Full Professor in the Department of Chemistry at York University, holding the York Research Chair (Tier 2). His research focuses on protein dynamics and structural biology using advanced mass spectrometry techniques, including time-resolved electrospray ionization (TRESI) and hydrogen-deuterium exchange (HDX-MS). He leads the Wilson Lab, which investigates protein motions, enzyme mechanisms, and interactions with ligands, membranes, and other proteins. His expertise spans analytical and biological chemistry, with a strong emphasis on developing microfluidics-based tools for studying millisecond-to-second timescale processes. Key projects include elucidating the dynamics of antibiotic resistance enzymes (e.g., β-lactamases), intrinsically disordered proteins (e.g., tau in Alzheimer’s), and antiapoptotic proteins (Bcl-2/Mcl-1) involved in cancer. Education: Ph.D. in Chemistry (specific details not listed in text). Awards include the Tier 2 York Research Chair. The lab collaborates widely with institutions like the University of Chicago and St. Jude Children’s Hospital, advancing drug discovery and structural biology. Current students and alumni include researchers studying STAT5b oncogenic mutations, tau protein dynamics, and nanodisc technologies. The lab operates cutting-edge equipment such as the Synapt G2-S HDMS and VersaLaser microfluidic devices.

• Blockchain
• Internet of Things (IoT)
• Edge computing
• +۹ مورد دیگر

Abdelhakim HAFID is a Full Professor at the University of Montreal , affiliated with the Faculty of Arts and Science and the Department of Computer Science and Operations Research . He leads the LRC — Laboratoire de recherche en réseaux de communication and is a member of several research centers including CIRRELT (interuniversity research center on enterprise networks, logistics, and transportation), the Cyberjustice Lab , and talents (AI for cybersecurity lab). His research focuses on Blockchain security , IoT , edge and fog computing , intelligent transport systems , and network resource management . He has supervised over 30 graduate students and led/co-led numerous research projects funded by agencies like NSERC , FRQNT , and MITACS . Notable projects include Blockchain Evolution: Quantum-Resistant Security (2025–2031) and Design and Management of Fog Networks (2019–2026). His work spans vehicular networks , mobile cloud computing , and machine learning for network optimization . He actively contributes to cybersecurity initiatives, including IoT authentication frameworks and AI-driven solutions for judicial systems (e.g., Cyberjustice ). Key Projects : Quantum-Resistant Blockchain Security (2025–2031) IoT Authentication via Blockchain and Intelligent SIM (2022–2026) Fog Network Design (2019–2026) Grants : NSERC Discovery Grants MITACS Acceleration Fellowships FRQNT Team Research Grants His lab collaborations include CIRRELT (logistics & transport) and Cyberjustice (digital law), reflecting interdisciplinary strengths in both technical and societal domains.

Biniam Kebedeمشاهده پروفایل

استادیار

• Food Bioprocessing
• Data Science
• Fermentation Technology
• +۹ مورد دیگر

Dr. Biniam Kebede is an Assistant Professor in the Department of Food Science at the University of Guelph. His research focuses on integrating bioprocessing, food analytics, and data science to enhance food functionality and sustainability. He leads the Food Bioprocessing and Data Science Research Group, which explores fermentation, enzymatic treatments, and machine learning for food innovation. Academic History: B.Sc. in Food and Biochemical Technology, Bahir Dar University (Ethiopia) M.Sc. in Food Technology, Ghent University (Belgium) Ph.D. in Bioscience Engineering, KU Leuven (Belgium) Research Interests: Dr. Kebede's work addresses sustainable food systems through: Optimizing fermentation to unlock bioactive compounds from plant-based sources Mitigating off-flavors in pulses via value-chain analysis Engineering food structures to improve nutrient bioaccessibility Developing portable machine learning tools for food authenticity Valuing indigenous food ingredients and traditional processing methods His approach combines multi-omics, imaging, and AI to create predictive models for food innovation. Awards & Affiliations: 2022 IUFoST Young Scientist Award 2014 EFFoST PhD Student of the Year Award Member of IFT, CIFST, and IUFoST Honorary affiliation with University of Otago (New Zealand) Training Philosophy: Dr. Kebede emphasizes personalized mentoring through Individual Development Plans (IDPs), biweekly lab meetings, and interdisciplinary collaboration. Students engage in all research phases, including conference presentations and industry partnerships to build technical and professional skills.

Rafael Santosمشاهده پروفایل

دانشیار

• CO2 Capture and Utilization
• Environmental Remediation
• Process Intensification
• +۵ مورد دیگر

Rafael Santos is an Associate Professor in Environmental Engineering at the University of Guelph's School of Engineering since 2017. He holds a PhD from KU Leuven (Belgium) and is a registered Professional Engineer of Ontario. Research focuses on CO 2 capture/utilization, solid waste valorization, environmental remediation, and process intensification Professional affiliations include PEO, ACS, AWMA, CSChE, RSC, and AIChE Particle Technology Forum Research Themes: Transforming industrial/agricultural wastes into carbon sinks and valuable products Developing energy-efficient reactor technologies (ultrasound, tubular reactors, hot-stage processing) Commercialization through GeoRewind™ with Twitter/Instagram presence Applying enhanced rock weathering to Southern Ontario agriculture and mining Scientific Recognition : NSERC Discovery Grant & Launch Supplement (2019-2024) Scialog Fellow (2020-present) Editorial roles in 4 journals He supervises 23 graduate students/visitors via projects spanning carbon capture, waste valorization, reactor design, and environmental monitoring. Teaching includes core courses like Fluid Mechanics and specialized graduate programs in Geochemical Modeling.