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Fangju WangView profile

Professor

• Machine Learning
• Artificial Intelligence
• Intelligent Systems
• +7 more

Fangju Wang is a retired Professor with expertise in artificial intelligence, machine learning, and intelligent systems. His research focuses on applying partially observable Markov decision processes (POMDP) and reinforcement learning to develop efficient algorithms for intelligent tutoring systems (ITS), emphasizing computing cost reduction and uncertainty management. He has contributed to interdisciplinary computational science education through collaborative academic program development. Key research interests include algorithm optimization, policy tree efficiency, Bellman equation solutions in POMDP frameworks, and adaptive teaching strategies in educational technology. His work bridges theoretical advancements with practical applications in speech recognition and user behavior modeling in dialogue systems. No academic awards, grants, or advising roles are explicitly documented in the provided materials. His publications span conferences like CSEDU and journals such as International Journal of Information and Education Technology, focusing on computational methods in education and AI.

Karen GordonView profile

Professor

• Biomechanics
• Soft Tissue Mechanics
• Medical Imaging
• +4 more

Karen Gordon, PhD, P.Eng., is a Professor and Associate Dean (Academic) at the Gordon S. Lang School of Business and Economics, University of Guelph. She holds expertise in Biomechanics and Soft Tissue Mechanics, with research focusing on medical imaging, wearable devices, and engineering education. Her academic roles include advising on curriculum development and overseeing academic programs at the Lang School. Her research spans biomechanics of wrist and joint kinematics, with applications in orthopedics and ergonomics. She has developed novel 3D-printed wearable sensors for monitoring joint motion, emphasizing low-cost and accessible medical technologies. Her work also explores STEM education, particularly problem-solving pedagogy and the role of memorization in engineering courses. Dr. Gordon teaches courses in Biosystems Engineering, Mechanics, Biomaterials, and Engineering Design. She is affiliated with the University's Biological and Biomedical Engineering programs. Her recent publications address machine learning in biomechanics, carpal tunnel morphology, and interdisciplinary educational strategies.

Elif AcarView profile

Associate Professor

• High-dimensional dependence
• Statistical genetics
• Nonparametric estimation
• +4 more

Dr. Elif Acar is an Associate Professor in the Department of Statistics at the University of Guelph. Her research focuses on high-dimensional data analysis, multivariate modeling strategies, and meta-analysis in biomedical applications. She holds a PhD in Statistics from the University of Toronto (2010), an MSc in Mathematics from the University of New Hampshire (2006), and a BSc in Statistics from Middle East Technical University (2003). Her research themes include high-dimensional dependence modeling and research synthesis in high-throughput studies, with applications in genome-wide association studies, microbiome research, and phenotyping experiments. She emphasizes methodological developments in handling complex data structures such as longitudinal and incomplete datasets. Dr. Acar has received multiple awards including the MATRIX-Simons Travel Award (2024) and NSERC Discovery Grants (2020–2027). Her recent publications span copula-based models, longitudinal data analysis, and interdisciplinary applications in genetics and neuroscience. She mentors postdoctoral fellows and accepts PhD/MSc students interested in her research areas. Current grants include NSERC funding for statistical method development and collaborative research initiatives.

Wolfgang StuerzlingerView profile

Professor

• 3D User Interfaces
• Extended Reality
• Augmented Reality
• +10 more

Wolfgang Stuerzlinger is a Professor and Director of the VVISE Lab at Simon Fraser University's School of Interactive Arts & Technology. His research focuses on 3D user interfaces, virtual/augmented reality (VR/AR), and human-computer interaction. He holds a Doctorate from the Vienna University of Technology and has held academic roles at York University and the University of North Carolina. **Education**: PhD (Dr. techn.) in Computer Science, Technical University of Vienna, Austria Dipl.-Ing. (Master's equivalent), Computer Science, Technical University of Vienna **Research Interests**: Specializes in VR/AR interaction techniques, 3D user interfaces, and visual/immersive analytics. Current projects address 3D interaction challenges, occasionally failing systems, and hardware/software innovations for extended reality. Notable contributions include studies on vergence-accommodation conflict, gaze-based text entry, and locomotion techniques in VR. **Awards**: Member of the IEEE VGTC Virtual Reality Academy (2023) and ACM SIGCHI Academy, recognizing leadership in VR and HCI research. **Grants & Labs**: Leads the VVISE Lab, collaborating on projects like RedirectedStepper and Depth3DSketch. Active in grant-funded research on immersive analytics and accessibility in XR navigation. **Teaching**: Teaches courses such as IAT 445 (Immersive Environments) and IAT 848 (Mediated Reality Systems).

Jennifer FisherView profile

Professor

• Contemporary Art
• Curatorial Studies
• Exhibition Practices
• +4 more

Jennifer Fisher is a Professor in the Department of Visual Art and Art History at York University's School of the Arts, Media, Performance & Design (AMPD). She holds a BFA from NSCAD University, and MA and PhD degrees from Concordia University. Her academic work integrates curatorial practice with research in contemporary art, sensory aesthetics, and feminist theory. Research Focus Fisher's research explores interdisciplinary intersections including: Exhibition studies and archival reinterpretation Affect theory and non-visual sensory aesthetics Feminist performance and display practices Curatorial methodologies and artist archives Professional Recognition Contemporary Art Fellow at the National Gallery of Canada Research affiliations at Cornell University and NYU Tisch School of the Arts Co-founder of the Journal of Curatorial Studies Founding member of DisplayCult curatorial collective Notable Projects Fisher co-curated 'Archives by Artists' (2024) at the Archives of Ontario, featuring 18 international artists who reconceptualize archival practice through interactive multiples. The exhibition engaged AMPD students in hands-on curation and will travel to Québec in 2025. Her work frequently integrates academic research with public-facing curation.

Ivan BeschastnikhView profile

Associate Professor

• Distributed Systems
• Software Engineering
• Cloud Computing
• +5 more

Ivan Beschastnikh is an Associate Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Faculty of Science. He leads research in distributed systems, software engineering, and formal methods, with a focus on privacy-preserving technologies, blockchain systems, and machine learning. His work bridges theoretical foundations and practical system implementations, emphasizing empirical validation and real-world deployment. Research Interests: His primary areas include distributed systems (e.g., consensus algorithms, transaction processing), formal methods for system correctness (e.g., PGo compiler for verified implementations), and privacy in federated learning and blockchain. He also explores interdisciplinary topics like AI ethics, human-computer interaction for developers, and system security. Key Projects: Includes PGo (formal specification to Go compiler), Biscotti (decentralized federated learning), Erlay (Bitcoin transaction relay optimization), and Teleoscope (text corpus analysis tool). His work has practical impact in blockchain scalability, secure multi-party ML, and distributed system validation. Awards: Recognized with the ASPLOS Distinguished Artifact Award, UBC Faculty Teaching Award, and ESEM Best Paper Award. His contributions span academic excellence, pedagogy, and collaborative research. Lab Affiliations: Active in the Systopia Lab and Software Practices Lab (SPL) , and collaborates with UBC’s Data Science Institute and Blockchain@UBC. He emphasizes interdisciplinary research, mentoring students in both theoretical and applied systems work.

Ronald GarciaView profile

Associate Professor

• Programming Languages
• Gradual Typing
• Type Systems
• +6 more

Ronald Garcia is an Associate Professor in the Department of Computer Science at the University of British Columbia, affiliated with the Faculty of Science and the Software Practices Lab. His research focuses on programming language theory, emphasizing gradual typing, type systems, and end-user programming. He teaches courses such as Programming Language Principles (CPSC 509) and Compiler Construction (CPSC 411). Education details are not explicitly stated in the provided texts, but his extensive academic contributions span over two decades. Research interests include formal semantics of programming languages, typestate systems, dependent types, and improving software practices for end-users. He has advised numerous Ph.D. and Master's students, contributing to over 30 academic publications. Recent work explores hybrid programming environments for end-users, runtime type slicing for debugging, and foundational frameworks for gradual dependent types. Garcia actively participates in academic conferences as a PC member and keynote speaker, notably in PLDI, POPL, and ICFP. His lab and collaborations focus on advancing theoretical foundations while addressing practical challenges in software development and education.

Steven WeijsView profile

Associate Professor

• Water Resources Management
• Mountain Hydrology
• Catchment Hydrology
• +4 more

Dr. Steven Weijs is an Associate Professor and Associate Head (Graduate Programs) in the Department of Civil Engineering at the University of British Columbia (UBC), part of the Faculty of Applied Science. He leads research in water resources management, hydrology, and information theory applications in environmental systems. His work explores optimizing information flows from observations to decision-making in complex water systems. Education: PhD (2011) and M.Sc. (2004) in Water Resources Management from TU Delft, Netherlands. Postdoctoral Research: AXA Research Fund fellowship (2011–2013) at EPFL, Switzerland, followed by roles in environmental fluid mechanics and cryospheric science groups. Research Interests: Mountain hydrology, catchment dynamics, flood forecasting, uncertainty quantification, and information theory-based monitoring strategies. He teaches CIVL 418 Engineering Hydrology and contributes to UBC’s Master of Engineering Leadership in Integrated Water Management. Publications focus on sensor networks, data-driven hydrology, flood analysis, and environmental decision-making. Notable work includes novel methods for streamflow prediction in ungauged basins and optimal monitoring network design. Awards: Leading Scholar (Green College, 2016–2018), AXA Research Fund Postdoctoral Fellowship. He collaborates on projects like WeSenseIt, a citizen observatory initiative, and develops low-cost sensing technologies for hydrological monitoring. His research bridges theoretical frameworks with practical applications in water resource management.

Carlos VenturaView profile

Professor

• Earthquake Engineering
• Structural Dynamics
• Structural Health Monitoring
• +5 more

Dr. Carlos Ventura is a Professor of Structural & Earthquake Engineering at the University of British Columbia (UBC), serving as Director of the Earthquake Engineering Research Facility (EERF). With over 30 years of experience, his research focuses on structural dynamics, seismic retrofit of buildings, and infrastructure resilience. He has published over 400 papers and led projects for seismic safety guidelines in schools and bridges. Research Interests: Earthquake engineering Structural vibration testing Performance-based design Regional seismic risk assessment Structural health monitoring Awards: Lieutenant Governor’s Award of Excellence (2013) Fellow, Canadian Academy of Engineering (2010) Champions of Earthquake Resilience Award (2015) Multiple best paper awards in international journals Labs & Projects: Director of UBC Earthquake Engineering Research Facility (EERF) Lead researcher in BC School Seismic Retrofit Program Principal investigator in structural health monitoring networks Contributions to bridge and dam safety evaluations

• Aspect-Oriented Programming
• Modularity
• Software Engineering
• +4 more

Gregor Kiczales is a Professor of Computer Science at the University of British Columbia , with a career spanning over three decades. His work focuses on programming language design, modularity, and aspect-oriented programming (AOP). Primary affiliation: University of British Columbia Verification email: gregor@cs.ubc.ca Kiczales' research centers around modularity and aspect-oriented programming , with significant contributions to understanding crosscutting concerns, developing AOP frameworks like AspectJ, and exploring novel abstractions for software systems. His work includes: Foundational research in AOP semantics and implementation Studies on code-design alignment and software architecture Developing registration-based abstractions and late-binding mechanisms Investigating scalability challenges in AOP systems

• Unconventional Resources
• Hydraulic Fracturing
• Reservoir Characterization
• +4 more

Shanshan Yao, PhD, is an ATS Assistant Teaching Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering. She specializes in teaching and research focusing on unconventional resources, hydraulic fracturing, reservoir characterization, and drilling engineering. Her courses include PET E 275 (Petroleum Reservoir Fluids), PET E 364 (Drilling Engineering), and advanced reservoir and production engineering modules. Dr. Yao's research interests span pore-scale processes in porous media, pneumatic percussion drilling, and pumped storage hydropower systems. Her recent articles highlight contributions to proppant dynamics, fluid mechanics in fracturing, and optimization of drilling technologies. While no awards or grants are explicitly listed, her work reflects active engagement in petroleum engineering and reservoir science. She currently teaches across multiple terms, demonstrating a commitment to both education and applied research in energy systems.

Regan MandrykView profile

Professor

• Game Studies
• Human-Computer Interaction
• Affective Computing
• +3 more

Regan L. Mandryk is a Professor at the University of Saskatchewan and Tier 1 Canada Research Chair in Digital Gaming Technologies and Experiences. With over 200 publications cited 10,000+ times, she pioneered affective physiological evaluation for games and focuses on games for health, wellbeing, and interpersonal relationships. Inducted into Royal Society of Canada (2014) E.W.R. Steacie Fellowship (2018) Led inaugural CHI PLAY and Canadian graduate training program SWaGUR Research Interests : • Game-based wellbeing interventions • Toxicity and harassment in online spaces • Affective computing and player emotion • Accessibility in digital games • Social dynamics in multiplayer environments • Gamification for health outcomes Recent Article Trends highlight: 1) Toxicity mitigation in esports, 2) Physiological feedback mechanisms, 3) Spatial cognition in games, 4) AI integration in game design, 5) Social anxiety and digital play, 6) Cultural representation in gaming. Scientific Awards : Tier 1 Canada Research Chair (2020–present) E.W.R. Steacie Fellowship ($430,000, 2018) Royal Society of Canada Inductee (2014) Best Paper Awards at ACM CHI, CHI PLAY, IEEE Games, ASSETS, CSCW Teaching & Supervision : Developed courses in affective computing, game design, and human-computer interaction. Supervised numerous undergraduate honors theses on topics including biofeedback games, social anxiety in play, and toxicity detection systems.

Julien ArinoView profile

Professor

• Mathematical Epidemiology
• Mathematical Population Dynamics
• Data Science
• +3 more

Julien Arino is a Professor in the Department of Mathematics at the University of Manitoba , specializing in Mathematical Epidemiology and Mathematical Population Dynamics . He is an active member of the Mathematical Biology group and focuses on the role of movement in disease transmission, with applications to both human and animal health. Department of Mathematics Faculty of Science University of Manitoba His research spans: Metapopulation dynamics with explicit movement Multi-pathogen and multi-species transmission modeling Computational epidemiology with data science integration Evaluation of travel control measures for disease variants Recent work includes publications on: Cholera transmission in Chad Multi-species bovine tuberculosis dynamics Measles resurgence patterns Software tools for R compilation and data visualization He maintains a public YouTube channel with lecture videos on Mathematical Epidemiology and contributes open-source code for scientific computing in R and Python. His methodological contributions include novel approaches to plot formatting and computational efficiency in epidemic modeling.

Pierre-Majorique LégerView profile

Professor

• User Experience (UX)
• Human-Computer Interaction (HCI)
• Human-Centered AI (HCAI)
• +2 more

Pierre-Majorique Léger is a Full Professor at the Department of Information Technology , HEC Montréal. He serves as Director of the ERPsim Laboratory , Co-Director of Tech3Lab , and holds the Chair in User Experience IVADO . His research focuses on User Experience (UX) , Human-Computer Interaction , Human-Centered AI , NeuroIS , and Serious Games for Learning . M.Sc.A. (Industrial Engineering), Polytechnique Montréal Ph.D. (Electrical Engineering), Polytechnique Montréal Postdoctoral Fellowship (Information Technology), HEC Montréal His research interests combine neuroscience with information systems, examining: Cognitive load measurement in digital environments Human-AI collaboration dynamics Neuroadaptive interfaces User behavior in e-commerce Technostress mitigation UX evaluation in VR/AR Recent research trends show: Systematic reviews on AI ethics in industry/education Neurophysiological studies using EEG/fNIRS Experiments on multimodal interfaces Gamification effectiveness analysis Scientific Awards : IVADO Chair in User Experience Grand Prix de recherche (2024) Multiple best paper nominations (2020-2022) Advising & Grants : Directed 3 PhD theses and 74 MSc theses (2020-2025) Secured funding for ERPsim Lab's $2M research grant Collaborated with Tech3Lab on international projects Laboratories : Co-Director, Tech3Lab Director, ERPsim Laboratory IVADO-affiliated researcher

Parminder Singh KangView profile

Associate Professor

• Supply Chain Management
• Machine Learning
• Artificial Intelligence
• +5 more

Dr. Parminder Singh Kang serves as Associate Professor in the Department of Decision Sciences at MacEwan University's School of Business, specializing in supply chain optimization through advanced analytics and machine learning. His cross-disciplinary research integrates people, process, and technology elements to solve complex industrial and service operations challenges. Education: PhD from De Montfort University M.Sc. from De Montfort University Dr. Kang's research centers on applying AI/ML, combinatorial optimization, and simulation modeling to enhance supply chain resilience and customer-centric service systems. His work bridges theoretical frameworks with industry applications, focusing on sustainable digitization, risk profiling, and process improvement through evolutionary algorithms and Lean/Six Sigma methodologies. Recent projects address circular economy integration and Service 4.0 transformation. His publication portfolio reveals strong trends in machine learning applications for supply chain risk analysis, text mining for competency mapping, and digital twin development for customer-centric operations. The research spans theoretical models like HI-TOP to practical case studies on pandemic disruptions and ERP implementation, demonstrating industry-relevant academic contributions. Scientific Awards: Best Paper Award, Administrative Sciences Association of Canada (2018) Horace Pops Medal Award, Wire Cable Conference (2015) Dr. Kang supervises senior student independent studies while teaching business intelligence, machine learning, and supply chain management courses at undergraduate, graduate, and MBA levels. His research is funded by NSERC, MITACS, Alberta Innovates, and industry partners including Fluor Canada, Apana Technologies, and the City of Calgary, supporting projects valued at over $2M annually. He leads collaborative research with Panjab University, CPA Canada, and TATA Steel Europe, focusing on supply chain digitization and process optimization. His work with UK-based SMEs and Canadian organizations drives practical implementation of analytics frameworks in real-world operational environments.