جست‌وجوی استاد و پژوهشگر

Andrea Buntمشاهده پروفایل

استاد

• Human-Computer Interaction
• Intelligent Interactive Systems
• Software Learnability
• +۵ مورد دیگر

Andrea Bunt is a Full Professor and Associate Head (Graduate) in the Department of Computer Science at the University of Manitoba, where she co-directs the HCI lab. She has established herself as a leading researcher in human-computer interaction with significant contributions to software learnability, rural computing, and technologies for children and families. Her work bridges theoretical and practical aspects of HCI, with strong community engagement through student supervision and collaborative projects. Dr. Bunt completed her B.Sc. at Queen's University, followed by an M.Sc. in 2001 and Ph.D. in 2007 at the University of British Columbia. Prior to joining the University of Manitoba, she was a Postdoctoral Fellow at the University of Waterloo in the Human-Computer Interaction Lab. This educational trajectory has provided her with a strong foundation for her interdisciplinary research approach. Her research interests span multiple areas within human-computer interaction, with particular focus on software learnability for diverse user groups, improving computing experiences in rural and remote communities, and designing technologies specifically for children and families. Her work on explainable AI, gender inclusivity in technology, and collaborative learning dynamics represents cutting-edge contributions to the field. Recent projects include Stream Assistant for live streamers, digital interventions for adolescent tech disengagement, and gender-inclusive approaches to online question-and-answer platforms. Analysis of her recent publications reveals a strong emphasis on user-centered approaches to technology design, particularly focusing on vulnerable or underserved populations. Her work consistently bridges theoretical HCI principles with practical applications, demonstrating how technology can be made more accessible, inclusive, and effective for diverse user groups. There's a clear trajectory toward addressing societal challenges through HCI, with increasing focus on ethical considerations in AI systems. CS-Can | Info-Can Young Researcher Award (2018) NSERC Accelerator Supplement (2015-2018) Multiple Best Paper Awards at premier conferences including CHI, Graphics Interface, and FDG Consistent recognition for methodological innovation and impactful research contributions Dr. Bunt actively mentors a diverse group of students at all levels, from undergraduate research assistants to Ph.D. candidates. Her lab receives funding from NSERC Discovery Grants and other sources to support research on intelligent interactive systems. She has successfully guided numerous students through their academic journeys, with many going on to impactful careers in academia and industry. Her collaborative approach extends to interdisciplinary partnerships across computer science, education, and social sciences. The HCI lab she co-directs serves as a vibrant research hub focusing on real-world applications of human-computer interaction principles. Current projects address critical challenges including technology use in rural communities, digital wellbeing for adolescents, and inclusive design practices. The lab fosters a collaborative environment where students and researchers work together to develop innovative solutions to complex HCI problems.

Martin Müllerمشاهده پروفایل

استاد

• Artificial Intelligence
• Game Theory
• Monte Carlo Tree Search
• +۷ مورد دیگر

Martin Müller is a Professor in the Department of Computing Science at the University of Alberta, where he conducts research in artificial intelligence, game theory, and heuristic search. He holds the Canada CIFAR AI Chair at Amii and is an Amii Fellow, underscoring his leadership in AI. His research group focuses on Monte Carlo tree search, reinforcement learning, combinatorial game theory, and automated planning, with applications in games such as Go, Hex, and NoGo. His research interests span Monte Carlo and exact methods in game-tree search , exploration in heuristic search and machine learning , and algorithms in combinatorial game theory . He has developed open-source software like MCGS (Minimax-based Combinatorial Game Solver) and contributes to game-playing systems such as Fuego for Go. His work bridges theoretical foundations with practical implementations in AI-driven game solvers. Recent publications show a strong trend in reinforcement learning , particularly in deep Q-learning, policy gradient methods, and anomaly detection in deep RL. His team also explores combinatorial game solving , sparse reward environments , and imperfect information games . The research integrates machine learning with classical AI techniques, emphasizing empirical validation and algorithmic innovation. Canada CIFAR AI Chair Amii Fellow Best student paper award at IEEE Conference on Games 2024 Best paper award at IEEE COG 2021 Outstanding paper award at AAAI-18 Faculty of Science Dissertation Award (2016) Dissertation Award from the Canadian Artificial Intelligence Association (2013) Müller has supervised numerous PhD and MSc students, including Hongming Zhang, Henry Du, and Timo Bertram, many of whose theses focus on game AI, reinforcement learning, and combinatorial optimization. He is funded by NSERC, Mitacs, and Compute Canada. His group collaborates on projects involving neural networks for game playing, SAT solving, and planning algorithms. He is currently on sabbatical but remains academically active, teaching a graduate course on combinatorial games in 2025 and hosting visiting researchers. His lab is involved in the development of MCGS, a solver for sum games, and contributes to open-source AI software. The team publishes regularly in top venues such as NeurIPS, ICML, AAAI, and IEEE Transactions on Games. Future work includes advancing combinatorial game solvers, improving deep RL robustness, and exploring generalization in game representations.

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.

• Artificial Intelligence
• Heuristic Search
• Computer Games
• +۲ مورد دیگر

Dr. Martin Mueller is a Professor in the Faculty of Science's Computing Science department at the University of Alberta. His research focuses on advancing heuristic search techniques through artificial intelligence, game tree search algorithms, and machine learning approaches. Research pillars include: Search algorithm development Domain knowledge for evaluation functions Simulation techniques for action sequence exploration Large-scale machine learning for domain knowledge acquisition He developed the open-source Fuego framework, which pioneered computer Go advancements including the first program to defeat a top professional player on the 9x9 board. His work has influenced award-winning game systems in international competitions.

Mahmoud Alfadelمشاهده پروفایل

استادیار

• Software Ecosystems
• Software Releases
• Build Systems
• +۵ مورد دیگر

Mahmoud Alfadel is an Assistant Professor in the Department of Computer Science at the University of Calgary, Faculty of Science. His research focuses on software ecosystems, build systems, security vulnerabilities, and mining software repositories. He holds a PhD in Software Engineering from Concordia University (2021), an M.S. from KFUPM (2017), and a B.S. from Damascus University (2013). Education: Bachelor of Science in Information Technology, Damascus University (2013) Master of Science in Software Engineering, King Fahd University of Petroleum and Minerals (KFUPM, 2017) Doctor of Philosophy (Ph.D.) in Software Engineering, Concordia University (2021) His research emphasizes empirical studies in DevOps practices, continuous integration, and software security. Recent work explores vulnerability lifecycle analysis in Golang, fuzz testing adoption in open-source projects, and dependency-induced waste in CI pipelines. His publications reflect a focus on improving software quality and security through automated tools and empirical analysis. Awards and Grants: No specific awards or grants are listed in the profile. His work is supported through empirical studies and academic collaborations. Advising and Labs: No student advisees or specific lab affiliations are noted in the provided materials. His research is likely conducted through collaborative projects with students and industry partners.

Christine Farionمشاهده پروفایل

عضو هیئت علمی

• Wearable Technologies
• Prototyping
• Microcontrollers
• +۷ مورد دیگر

Christine Farion is an Instructor in the Faculty of Computer Science at Dalhousie University, Nova Scotia, Canada. She brings extensive experience in wearable technologies, prototyping, and microcontrollers for impactful human-centered interactions. Previously, she served as a Post Graduate Lecturer at The Glasgow School of Art, UK, where she taught innovation and interaction design with a focus on physical computing and electronics. PhD in Media & Arts Technology, Queen Mary University of London (EPSRC-funded) MSc in Creative Technology (Distinction), Leeds Beckett University, UK Her research focuses on enhancing quality of life through wearable technologies, particularly using conductive fabrics and experience-centred design. She specializes in creating interactive systems that support interpersonal communication and community well-being, often targeting accessibility for individuals with sensory impairments. Christine's recent work spans wearable prototypes—from clap-sensitive gloves to social distancing hats—using platforms like Arduino, ESP32, and Circuit Playground. Her projects emphasize participatory design, rapid prototyping, and open-source sharing. She has authored The Ultimate Guide to Informed Wearables and developed over 50 hands-on activities for building intelligent wearables. Her scientific recognition includes a 4-year EPSRC scholarship and project funding from the Arts Council and British Council (UK). 4-year EPSRC scholarship Arts Council, UK funding British Council, UK funding Christine actively mentors through tutorials, online courses (including a free soldering course on Patreon), and public installations. She has collaborated on projects like Sonic Bodies for visually impaired audiences and developed apps for cultural institutions. Her work bridges academic research, maker culture, and community engagement. She leads initiatives in physical computing education and maintains active involvement in DIY electronics, with a focus on accessibility and creative reuse. Her lab-style practice emphasizes iterative prototyping and open sharing of techniques.

Jeff Cluneمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Neuroevolution
• +۵ مورد دیگر

Jeff Clune is a Professor in the Department of Computer Science at the University of British Columbia (UBC), Canada, and a Canada CIFAR AI Chair at the Vector Institute. He also serves as a Senior Research Advisor at DeepMind. His work focuses on advancing artificial intelligence through evolutionary computation, neuroevolution, and open-ended systems. Clune's research explores topics such as continual learning, generative models (e.g., Genie), and automated scientific discovery. He is known for developing algorithms like Go-Explore and pioneering methods in neuroevolution to create robust and adaptable AI systems. His academic affiliations include the UBC Faculty of Science and collaborations with industry leaders like DeepMind. Clune teaches courses on machine learning and data mining, emphasizing practical applications and theoretical foundations. His awards include the SIGEVO Impact Award and recognition for outstanding publications in AI research. Notable projects include the development of the Go-Explore algorithm and contributions to AI safety and ethical frameworks. Clune's work bridges biological inspiration with machine learning, aiming to create systems that evolve and learn like natural organisms. Research interests span AI safety, generative AI, robotics, and scalable learning algorithms. He has published extensively on topics like neural network dynamics, open-endedness, and automated experimentation. Current projects include enhancing AI's ability to self-improve and exploring ethical implications of advanced AI systems.

Isabela Granicمشاهده پروفایل

استاد

• Developmental Psychology
• Digital Mental Health
• Video Games and Mental Health
• +۶ مورد دیگر

Isabela Granic is an Industry Professor in the Department of Health, Aging & Society within the Faculty of Social Sciences at McMaster University. Her research focuses on the intersection of digital technology and mental health, particularly exploring how video games and virtual reality can be leveraged for psychological assessment and intervention. Dr. Granic's research interests span several key areas: Digital mental health interventions, particularly video game-based approaches for anxiety and depression Application of dynamic systems theory to understand developmental psychopathology Emotion regulation processes in children and adolescents Virtual reality and biofeedback technologies for therapeutic applications Social media use and its relationship to wellbeing Her recent publications demonstrate a strong focus on developing and evaluating digital interventions for mental health, particularly the MindLight video game for anxiety prevention and treatment. Her work spans multiple populations including children, adolescents, and young adults, with special attention to vulnerable groups such as those with autism spectrum disorder. Dr. Granic has received significant attention for her research, with numerous publications in high-impact journals across psychology, human-computer interaction, and mental health fields. Her work has been cited extensively and has influenced both academic thinking and practical applications in digital mental health.

Liang Songمشاهده پروفایل

استادیار

• Plant Hormone Signaling
• Seed Development
• Gene Expression Regulation
• +۴ مورد دیگر

Liang Song serves as an Assistant Professor in the Department of Botany within the Faculty of Science at the University of British Columbia (UBC). His research program investigates molecular mechanisms underlying plant stress responses and seed development through transcriptional regulation. Education: BSc, Fudan University PhD, Pennsylvania State University Postdoctoral Fellow, Salk Institute for Biological Studies Dr. Song's research focuses on two interconnected domains: (1) Abscisic acid (ABA)-regulated gene expression networks that orchestrate plant stress responses and developmental decisions, and (2) Environmental and genetic control of seed development stages including storage reserve deposition, desiccation tolerance, and dormancy. His work employs Arabidopsis thaliana as a model system to dissect transcriptional networks involving activators, repressors, and co-regulators that integrate hormonal and environmental signals. Current investigations examine how combinatorial transcription factor interactions govern seed maturation and stress adaptation. Analysis of Dr. Song's publication record (2016-2024) reveals consistent emphasis on transcriptional networks in seed development and stress responses, with particular focus on ABA and auxin signaling crosstalk. His research demonstrates how co-repressors like AtSDR4L and transcription factor hierarchies coordinate developmental transitions and environmental adaptation through precise gene expression control. The work bridges fundamental molecular mechanisms with potential applications in crop resilience. Scientific Awards: No major personal awards documented in available sources Dr. Song actively mentors five graduate students (Milad Alizadeh, Ryan Hoy, Renwei Zheng, Gloria Bailan Lu, Dongeun Go) and multiple undergraduates, with trainees securing competitive funding including UBC 4 Year Fellowships, BC Graduate Scholarships, and NSERC USRA awards. His lab maintains collaborative relationships with the UBC Botanical Garden and Beaty Biodiversity Centre, supported by student awards and institutional resources. The research group emphasizes teamwork, evidenced by regular group activities including hiking excursions and social events. The Song Lab operates from the Biological Sciences Building (rooms 2231/2234) utilizing UBC's Bioimaging Facility and Herbarium resources. Current projects investigate molecular dialogues between transcriptional activators and repressors during seed-to-seedling transitions, with implications for understanding crop adaptation mechanisms under climate change.

Mark A. Toveyمشاهده پروفایل

استادیار مدعو

• History of Astronomy
• Space Travel History
• Material Culture of Astronomical Instruments
• +۳ مورد دیگر

Dr. Mark A. Tovey is an Adjunct Assistant Professor in the Department of History at Western University , and Curator of the Hume Cronyn Memorial Observatory . His research focuses on the history of astronomy, material culture of scientific instruments, and digital public history. He has curated major exhibits such as the 1940s-era observatory office and 1960s control room at Cronyn Observatory, and co-edited A Cosmic Treasury (2023). He leads projects like Hear Here London , an oral history initiative mapping neighborhood heritage through digital platforms. Notable awards include the 2020 Public Education Award (Architectural Conservancy Ontario) and the 2019 CSDH/SCHN Contribution Award. Teaching : Courses include HIST 2192A (Beer's cultural history), HIST 3810A (Introduction to Public History), and graduate supervision in public history internships. He has produced historical reenactments (e.g., John Harris's speeches) and served as Eldon House Board Vice Chair. Key Projects : Cronyn Observatory exhibits: 1940s office (2015), 1960s control room (2017), 1940s workshop (2018) Oral history of London's Oxford/Richmond neighborhoods Canada Going (Back) to the Moon exhibit (2022)

Christopher Smeenkمشاهده پروفایل

استاد

• History of Science
• Philosophy of Science
• Philosophy of Physics
• +۷ مورد دیگر

Christopher Smeenk is a Professor in the Department of Philosophy at Western University and serves as Associate Director of the Rotman Institute of Philosophy. He recently completed a term as Director of the Rotman Institute in July 2023, during which he held a Western Leadership Chair. Smeenk earned his BA from Yale and his MA, MS, and PhD from the University of Pittsburgh in History and Philosophy of Science. His educational background reflects a strong foundation in both philosophy and the history of science, with advanced degrees from Pittsburgh's renowned History and Philosophy of Science program. Smeenk's academic journey has positioned him at the intersection of historical analysis and philosophical inquiry into scientific practice. Smeenk's research focuses on scientific method and the nature of our knowledge of physics, examining what constitutes the structure and content of physical theories, how theories are evaluated, and how they are extended. His work spans from historical analysis of Newton's introduction of the theory of gravity to contemporary cosmological debates. He has made significant contributions to understanding the philosophical foundations of spacetime physics, cosmology, and seventeenth-century natural philosophy. His approach combines philosophical rigor with historical sensitivity to specific scientific episodes. Analysis of Smeenk's recent publications reveals a consistent focus on foundational issues in cosmology and theoretical physics. His work demonstrates growing engagement with current debates in cosmology, particularly regarding the interpretation of observational data, the validity of cosmological models, and the philosophical implications of modern physics. There's a clear trajectory toward increasingly sophisticated analysis of the relationship between theory and observation in advanced scientific contexts, with particular attention to how scientific knowledge is structured and validated in cosmological settings. Smeenk serves as an Associate Editor of Philosophy of Science and is on the Editorial Board of Foundations of Physics , reflecting his standing in the field. He has co-edited the Oxford Handbook of Isaac Newton with Eric Schliesser, demonstrating his expertise in the history of physics. As a supervisor, Smeenk can guide research in foundations of physics (especially spacetime physics and cosmology), general topics in philosophy of science, and seventeenth-century natural philosophy. His leadership roles at the Rotman Institute of Philosophy indicate active involvement in shaping research directions in philosophy of science. The Rotman Institute serves as a hub for interdisciplinary research connecting philosophy with various scientific disciplines. Smeenk maintains active research collaborations, particularly with Sarah C. Gallagher in astrophysics-related philosophical work, and with Adam Koberinski on cosmological topics. His work bridges historical scholarship with contemporary philosophical analysis, creating a distinctive approach to understanding the development and structure of scientific knowledge.

Claire Daviesمشاهده پروفایل

استاد

• Biomechanics
• Assistive Technology
• Rehabilitation Engineering
• +۳ مورد دیگر

Dr. Claire Davies is a Professor in Mechanical and Materials Engineering at Queen's University, leading the Building and Designing Assistive Technology (BDAT) Lab. She serves as Co-Lead of the Research, Design, and Innovation Community of Practice for the Canadian Accessibility Network, driving interdisciplinary collaboration between engineers, clinicians, and end-users to develop inclusive assistive solutions. Her research centers on user-centered biomechanics and assistive technology development, with core projects including Go Baby Go (adapting mobility devices for children) and Building Better Together (interprofessional design education). The BDAT Lab emphasizes "enabling end-users to design assistive technology that meets their needs" through universal design principles, focusing on stroke rehabilitation robotics, braille literacy tools like BrailleBunny, and emotion recognition systems for individuals with severe communication impairments. Recent publications reveal a strategic shift toward AI integration in accessibility solutions, particularly machine learning models for emotion detection in non-verbal populations and equity-focused frameworks for healthcare AI. Key trends include addressing AAC system barriers, optimizing eye-tracking interfaces, and developing home-based rehabilitation technologies that prioritize user autonomy. Dr. Davies actively mentors graduate students through the BDAT Lab's research pipeline, securing funding for community-engaged projects that bridge engineering innovation with clinical practice. Her work with occupational/physical therapists ensures real-world applicability of technologies across diverse disability contexts. The BDAT Lab operates as a collaborative nexus where engineers co-design with end-users and clinicians. Current initiatives include stroke rehabilitation mechatronics, covert speech interfaces for AAC, and the EDAI Framework for inclusive AI development - all reflecting her commitment to dismantling accessibility barriers through participatory design.

• Algorithm Design
• Game Theory
• Artificial Intelligence
• +۱ مورد دیگر

Ryan Hayward is Professor in Computing Science at the University of Alberta. His research develops algorithms for combinatorial games and AI systems, with focus on solving complex problems in Hex and Go through novel search techniques. Research highlights: Monte Carlo tree search enhancements for board games Proof number search optimization methods Virtual connection strategies in Hex Neural network architectures for game AI Publications introduce fundamental advances in game-solving algorithms validated through championship-level AI systems. Research bridges theoretical computer science and practical AI implementations.

Thomas Wolfمشاهده پروفایل

استاد

• Differential Equations
• Integrability
• Computer Algebra
• +۴ مورد دیگر

Thomas Wolf is a Professor of Mathematics at Brock University, affiliated with the Department of Mathematics and Statistics. His primary research focuses on differential equations, integrability, computer algebra systems, and applications to General Relativity and Combinatorial Game Theory. He has developed influential software tools like CRACK and ConLaw for solving overdetermined systems of equations and analyzing conservation laws. Research Interests: Integrable systems, symbolic computation, mathematical physics, and game theory. Notable Contributions: Algorithms for simplifying PDEs, contributions to the classification of integrable systems, and work on computer Go (Weiqi) strategies. Outreach: Founded the Brock Brain Benders Club and Caribou Math Contests, promoting mathematics education. His publications span theoretical advancements in differential equations and practical applications in physics and combinatorial games. Recent work includes exploring hyperdeterminants in discrete systems and supersymmetric hierarchies. Advising & Grants: While no formal advisees are listed, his collaborations include international researchers in mathematics and physics. His work has been supported by computational tools and interdisciplinary projects. Labs/Teams: Active in developing computational frameworks for mathematical research and organizing educational initiatives like the Caribou Contests.

• Computer Graphics
• Physically Based Animation
• Motion Capture
• +۴ مورد دیگر

Paul G. Kry is an Associate Professor in the School of Computer Science at McGill University, where he leads the Computer Animation and Interaction Capture Laboratory. His research focuses on physically based animation, computer graphics, and human motor control, with applications in video games, movies, training simulations, ergonomics, and robotics. He teaches graduate and undergraduate courses including COMP 557 (Fundamentals of Computer Graphics) and COMP 559 (Fundamentals of Computer Animation). Dr. Kry's research interests center on computer graphics, physically based animation, skin deformations of articulated characters, motion capture, interaction, and physically based modeling of humans and animals. He investigates human and animal motor control (locomotion, grasping, manipulation) in combination with the physics of rigid objects, deformation, and contact. His work emphasizes the combination of real-world measurements, approximate models, and physically based simulation, with additional interests in machine learning, numerical methods, and audio. His recent publications demonstrate strong trends in physically based animation, with focus areas including adaptive simulation techniques, real-to-sim calibration, constraint-based physics, neural network applications in graphics, and motion control policies. His work spans both theoretical foundations and practical applications, often bridging the gap between computer graphics and robotics. BEST PAPER at Graphics Interface, 2023 BEST STUDENT PRESENTATION at ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2019 BEST PAPER at Computational Aesthetics / Expressive, 2016 Dr. Kry actively supervises numerous PhD and MSc students, with many graduates going on to positions at leading companies including Ubisoft, Google, Facebook, and Autodesk. He has served on program committees for major conferences including ACM SIGGRAPH, Symposium on Computer Animation, and Graphics Interface. His lab maintains specialized equipment including a 24-camera motion capture system, force plates, consumer DSLR cameras, high-speed cameras, data gloves, quadrotor robots, and various pressure sensors.