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Steve HansenView profile

Professor

• Human Movement Behavior Analysis
• Motor Control
• Sensory-Motor Systems
• +3 more

Dr. Steve Hansen is a Professor in the Department of Physical and Health Education at Nipissing University, serving as Graduate Program Coordinator and Chair within the Schulich School of Education. He holds a BKin (Honours), MSc, and PhD from McMaster University. His research focuses on visual control of upper limb movements, kinematic analyses of movement in both typically developing and special populations, and theoretical modeling of movement control and rehabilitation. Key themes include optimizing speed-accuracy trade-offs, sensory-motor integration, and movement variability quantification. Research interests span human movement behavior, sensory-motor systems, and movement control in clinical populations. His work examines how visual feedback and task constraints influence movement planning and execution, with applications to neurorehabilitation and motor learning. Recent trends in his publications emphasize hormonal effects on motor performance, robotics in pediatric therapy, and peer feedback dynamics in skill acquisition. No scientific awards are explicitly listed, but his extensive publication record reflects impactful contributions to motor control theory. As an academic leader, he oversees graduate training and curricular development in physical education. While no lab affiliations are noted, his research collaborations involve interdisciplinary teams studying biomechanics, neuroscience, and clinical applications.

Jim McAuliffeView profile

Professor

• Visual Attention
• Motor Learning
• Neurocognitive Function
• +3 more

Dr. Jim McAuliffe is a Full-Time Professor and Dean of Graduate Studies and Research at Nipissing University's Schulich School of Education. He holds a PhD in Physical Education and Sports Studies from the University of Alberta and has over two decades of academic leadership experience, including roles at Lakehead University and Nipissing. His research focuses on visual attention, motor learning, and neurocognitive function, particularly in the context of sports-related concussions and safe return-to-play protocols. He has secured grants from NSERC, the Ontario Neurotrauma Foundation, and Auto21 Network. Education: HBA & MA (University of Western Ontario), PhD (University of Alberta) Leadership Roles: Director of BPHE Program, Vice-Dean of Schulich School of Education Research interests include visual attention mechanisms, autonomic nervous system responses, and driving safety. He has contributed to over 25 peer-reviewed publications, emphasizing interdisciplinary approaches to human movement science and clinical neurology. Dr. McAuliffe also serves on national sports organizations like Squash Canada and the Canadian Olympic Committee. His academic work bridges theoretical research and practical applications, such as improving sports safety protocols and optimizing cognitive assessments for athletes. He actively collaborates with institutions to advance concussion management strategies and youth sports safety.

Asifa AamirView profile

Academic

• Information Systems
• Business Processes and IT
• User Experience
• +4 more

Asifa Aamir is an Associate Teaching Professor at Ontario Tech University's Faculty of Business and Information Technology. Her research focuses on information systems, instructional technologies, and hybrid learning models. She investigates strategies to bridge gender gaps in STEM through gamification and user-centric design. Her work also explores the strategic use of new technologies in academia and business environments. Education: SAP Certified Application Associate - Business Process Integration (SAP S/4HANA) Master of Business Administration (Technology Management), University of Duisburg-Essen Master of Philosophy (Information Systems Engineering), Ontario Tech University Master of Science (Computer Sciences), UMIST, Manchester Bachelor's, Quaid-e-Azam University, Pakistan Research Interests: Asifa's work spans information systems engineering, business-process optimization, and the integration of technology in education. She emphasizes user experience design, hybrid learning frameworks, and the impact of emerging technologies on academic and corporate landscapes. Her projects often address accessibility and equity in STEM through innovative instructional tools. Research Trends: Her publications highlight optimization methodologies (e.g., Benders decomposition) and risk management in supply chains, transportation systems, and environmental policy. Recent work emphasizes sustainable infrastructure (e.g., EV charging networks) and data-driven decision-making in logistics. Awards: None explicitly listed. Advising & Grants: While no student advisees are noted, her role emphasizes pedagogical innovation and curriculum development. She contributes to experiential learning initiatives within the Faculty of Business and IT. Labs/Teams: Collaborates with the Business Analytics & AI Research Group, focusing on data-driven solutions for business and academic challenges.

Louise MilletteView profile

Associate Professor

• Environmental Engineering
• Civil Engineering
• Geological Engineering
• +5 more

Louise Millette is an Associate Professor at Polytechnique Montréal , where she teaches in the Department of Civil, Geological and Mining Engineering . She also serves as Director of the Office of Sustainable Development at Polytechnique Montréal, focusing on operationalizing sustainable practices in engineering education and business systems. Research Areas : Contaminated Site Management, Environmental Management Systems for Businesses, Sustainable Development Implementation Affiliations : CIRODD (Co-Investigator), Michael D. Penner Institute on ESG Issues (Member) Scientific Contributions Millette’s work bridges engineering pedagogy and environmental stewardship, emphasizing human-centric solutions over techno-enthusiasm. Her publications span topics like soil remediation, duckweed-based water treatment, and stakeholder mobilization in circular economy transitions. Awards & Recognition 2024: King Charles III's Coronation Medal 2022: Ordre de Montréal - Chevalier 2020: Quebec's Minister of Higher Education Award 2019: Quebec Business Women's Award 2018: Fellow - Engineers Canada Academic Leadership She has supervised six Master’s theses on climate change adaptation, portable water treatment, and urban environmental decision-making tools. Her advocacy includes public critiques of lithium-based green economy plans and contributions to debates about Montreal’s educational and infrastructure legacy projects.

Soumaya YacoutView profile

Professor

• Industrial Engineering
• Operations Management
• Operations Research
• +7 more

Soumaya Yacout is a Full Professor in the Department of Mathematical and Industrial Engineering at Polytechnique Montréal. She holds a Doctorate in Science from George Washington University and has been a leading academic in industrial engineering and artificial intelligence for over two decades. Her research focuses on Industry 4.0, predictive maintenance, and data-driven decision-making. Key projects include the Intelligent Cyber-Physical Systems Lab, developing cyber-physical platforms for Industry 4.0 factories, and creating algorithms for big data analysis in manufacturing systems. She also leads the CĒOS Net network, advancing smart maintenance strategies for heavy-duty electrical buses. Yacout has supervised over 27 PhD and Master’s students, with notable alumni contributing to sectors like aerospace, automotive, and smart manufacturing. Her work integrates AI, optimization, and machine learning to address complex industrial challenges, including fault diagnosis, prognosis, and real-time decision-making systems. Her recent publications emphasize AI applications in maintenance, digital twins, and predictive modeling. She leads interdisciplinary teams and collaborates with industry partners on projects funded by IVADO and NSERC, driving innovation in sustainable manufacturing and smart infrastructure.

Han YanView profile

Assistant Professor

• Banking
• Climate Finance
• Voluntary Disclosure

Han Yan is an Assistant Professor at UBC Sauder School of Business specializing in banking, climate finance, and corporate disclosure practices. He holds a PhD from NYU Stern and teaches managerial accounting courses. His research bridges finance and environmental economics, with recent focus on climate risk integration in financial systems. Prior to his finance career, he conducted significant research in materials science and nuclear engineering, publishing on cyclotron target systems and cellulose-based materials. This interdisciplinary background informs his current work on sustainable finance and environmental disclosure frameworks.

• Continuous Optimization
• Machine Learning
• Design and Analysis of Optimization Algorithms
• +3 more

Jiajin Li is an Assistant Professor in the Operations and Logistics Division at the UBC Sauder School of Business, concurrently affiliated with the Institute of Applied Mathematics (IAM) at the University of British Columbia. He holds a BSc in Statistics from Chongqing University and a PhD in Systems Engineering and Engineering Management from the Chinese University of Hong Kong (CUHK). Prior to joining UBC, he was a postdoctoral researcher at Stanford University's Department of Management Science and Engineering. His research focuses on continuous optimization , design and analysis of optimization algorithms , and machine learning , with emphasis on nonsmooth/nonconvex optimization, minimax problems, and distributionally robust optimization. His work bridges theoretical foundations with applications in graph data analysis and algorithmic stability. He teaches courses including Logistics and Operations Management (BCom), Seminar on Theoretical Developments in Management (PhD), and Optimization Theory and Applications (PhD). He actively seeks PhD students with strong mathematical or coding backgrounds through UBC Sauder or IAM programs. Key research contributions include advancements in primal-dual balancing for minimax optimization, stability evaluation via distributional perturbation analysis, and outlier-robust algorithms for graph data. His methodologies often integrate optimal transport theory and subdifferential analysis. He is affiliated with multiple research communities, including the IEEE and conferences like NeurIPS, ICML, and ICLR. His work emphasizes algorithmic robustness and scalability in complex optimization landscapes.

Jolene ReidView profile

Assistant Professor

• Organic Chemistry
• Computational Chemistry
• Catalysis
• +3 more

Jolene Reid is an Assistant Professor in the Department of Chemistry at the University of British Columbia (Vancouver Campus), affiliated with the Faculty of Science. Her research integrates computational and experimental methods to advance data-driven approaches in organic chemistry, focusing on reaction optimization, catalyst discovery, and mechanistic analysis. Research Interests: Her work emphasizes machine learning applications for reaction prediction, development of efficient chiral catalyst systems, and automation of reaction condition selection. Key themes include understanding noncovalent interactions in enantioselectivity, mechanism-based reaction design, and bridging physical organic principles with synthesis. Publications: Recent work highlights advancements in predictive modeling for catalyst generality, machine learning-driven mechanistic elucidation, and the design of novel chiral phosphoric acid catalysts. Her studies often explore the synergy between computational insights and experimental validation. Lab Team: The Reid Lab at UBC fosters interdisciplinary collaboration, with current members including Yutao, Isaiah, Jiajing, Junshan, and Saumya. They focus on predictive chemistry tools for selective synthesis, emphasizing innovation at the computational-organic interface. Labs/Teams: The Reid Lab is equipped to tackle challenges in catalyst design and reaction optimization, leveraging both experimental and computational infrastructure. Current projects aim to expand the scope of asymmetric catalysis through algorithmic and mechanistic innovation.

Margo SeltzerView profile

Professor

• Computer Systems
• Operating Systems
• Database Systems
• +7 more

Margo Seltzer is a Professor and Co-Head of the Department of Computer Science at the University of British Columbia (UBC). She holds the Canada 150 Research Chair in Computer Systems and the Cheriton Family Chair in Computer Science. Her research focuses on computer systems, including operating systems, databases, data provenance, graph analytics, and interpretable machine learning. She is also involved in educational initiatives and has held leadership roles in academia, including serving as Dean of Computer Science and Engineering at Harvard University. Education: PhD in Computer Science from UC Berkeley (1992), AB in Applied Mathematics from Harvard (1983). Professional roles include Chief Technology Officer at Sleepycat Software and architect at Oracle Corporation. She has received prestigious awards such as the ACM Athena Lecturer Award, Killam Teaching Prize, and membership in the National Academy of Engineering. Research Interests: Systems, databases, transaction processing, provenance capture, healthcare informatics, and cybersecurity. Her work emphasizes practical applications of systems research, including optimizing storage, improving operating system performance, and enhancing data security. She has contributed to open-source projects like Berkeley DB and CamFlow provenance system. Key Contributions: Developed systems for provenance-aware storage, sparse decision trees (e.g., GOSDT), and intrusion detection (FRAPpucino). She advocates for reproducible research through tools like Encapsulator and Rclean. Her teaching and mentorship have influenced countless students and junior faculty in computer science. Awards: ACM Athena Lecturer (2023), SIGMOD Systems Award (2020), USENIX Lifetime Achievement Award (2019), and election to the American Academy of Arts and Sciences (2021). Her work bridges theoretical computer science with real-world applications, emphasizing both technical innovation and societal impact.

• Operating Systems
• Storage Systems
• Programming Languages
• +3 more

Norman C. Hutchinson is an Associate Professor in the Department of Computer Science at the University of British Columbia (UBC), within the Faculty of Science. He specializes in operating systems, storage systems, programming languages, computer communications protocols, and virtual machine monitors. His research emphasizes scalable distributed systems, storage efficiency, and virtualization technologies. Teaching Hutchinson teaches courses such as CPSC 110 (Computation, Programs, and Programming), CPSC 210 (Software Construction), CPSC 313 (Computer Hardware and Operating Systems), and CPSC 317 (Introduction to Computer Networking). His teaching spans foundational to advanced topics in computer science, reflecting his expertise in systems and networking. Awards and Recognition UBC Computer Science Undergraduate Team Award (2011) CS Department Teaching Award Faculty of Science Achievement Award USENIX Symposium on Networked Systems Design and Implementation Award Research Focus Hutchinson’s research explores scalable storage systems , virtual machine replication , and distributed protocols . Notable projects include SPEX (scalable publish/subscribe systems), Innesto (searchable key-value stores), and Remus (high-availability virtual machine replication). His work addresses challenges in consistency, performance, and reliability in distributed environments. Grants and Labs His research is supported by grants focusing on cloud storage, distributed systems, and virtualization. He collaborates with industry and academic partners to advance practical solutions for modern computing challenges.

Burak KantarciView profile

Professor

• Internet of Things (IoT)
• AI-based Security
• Vehicular Networks
• +6 more

Dr. Burak Kantarci is a Full Professor at the School of Electrical Engineering and Computer Science, Faculty of Engineering, University of Ottawa. He holds a University Research Chair in AI-Enabled Secure Networking for Smart Critical Infrastructures and a courtesy faculty appointment at Clarkson University. His research focuses on IoT, AI-based security, vehicular networks, and edge computing. Education and Career: Previously an Assistant Professor at Clarkson University (before joining University of Ottawa) and a Research Fellow at University of Ottawa (2009–2014). He is a Professional Engineer (P.Eng) in Ontario. Research Interests: Includes continuous authentication, communication models for big data, crowdsensing, and vehicular sensing. He leads the NEXTCON-SCVI Labs and has published over 200 peer-reviewed works. Articles Trends: Recent work emphasizes AI-driven security solutions, autonomous systems safety, and 5G/6G networking challenges. Topics include adversarial detection, UAV optimization, and edge computing efficiency. Awards: Distinguished Lecturer (IEEE Communications & Systems Societies), ACM Distinguished Speaker, Senior Member (ACM/IEEE). Grants & Advising: Principal Investigator on NSERC/CFI/NSF-funded projects. Advises on grants focused on smart infrastructure and secure networking. Labs/Teams: Founder of NEXTCON-SCVI Labs, focusing on communications, computing networks, and smart vehicles innovation.

• Micro-electro-mechanical Systems (MEMS)
• Biomimetics
• Polymers and Composites
• +3 more

Dan Sameoto is a Professor in the Mechanical Engineering Department at the University of Alberta, Faculty of Engineering. His research focuses on micro-electro-mechanical systems (MEMS), biomimetic adhesives, and advanced manufacturing techniques. He holds a PhD in Engineering Science from Simon Fraser University (2008), an M.A.Sc. (2004) and B.Eng. (2002) from Dalhousie University. Research interests include biomimetics, polymers and composites, and additive manufacturing. His work spans applications in thermal camouflage, soft robotics, and space technology, leveraging innovative materials like liquid metals and microfluidic devices. Notable projects include the development of gecko-inspired adhesives for orbital debris capture and the design of reconfigurable actuators. Recent publications highlight advancements in polymer-based thermal management systems, recyclable soft robotics components, and high-efficiency wastewater treatment membranes. His courses, such as MEC E 451A/B on vibrations and sound, reflect his expertise in mechanical systems. No scientific awards were explicitly mentioned in the provided texts. He advises no listed students, but collaborates on multidisciplinary projects involving labs focused on MEMS, microfabrication, and sustainable materials.

• Ultracold Quantum Gases
• Quantum Technologies
• Quantum Simulation
• +4 more

Lindsay LeBlanc is an Associate Professor in the Department of Physics at the University of Alberta. She holds the Canada Research Chair (Tier 2) in Ultracold Quantum Gases and is a Fellow of the Canadian Institute for Advanced Research (CIFAR) Quantum Materials Program. Her research focuses on quantum simulation and hybrid quantum systems, leveraging ultracold atoms to explore phenomena in condensed matter physics and quantum technologies. She earned her Ph.D. in Physics from the University of Toronto (2011) and B.Sc. in Engineering Physics from the University of Alberta (2003). Her academic career includes roles as an NSERC Postdoctoral Fellow (2010–2013) at the Joint Quantum Institute and National Institute of Standards and Technology. LeBlanc's research laboratory investigates quantum many-body systems, including the creation of artificial gauge fields and the study of spin-orbit coupling in ultracold gases. Current projects aim to interface ultracold atoms with solid-state devices for quantum technologies, emphasizing coherence and hybrid systems. Her teaching includes Phys 146 (Fluids and Waves), Phys 294/295 (Experimental Physics), and a cross-listed course on Quantum Atomic and Optical Physics. She actively mentors graduate students and postdoctoral researchers, with current lab membership including four PhD and three MSc students. Key achievements include developing quantum memories based on superradiance, microwave-to-optical signal transduction, and reinforcement learning for optimizing ultracold gas production. She has been recognized with the AITF Strategic Chair (Tier 3) and has published extensively in journals like *Physical Review Letters*, *Nature Photonics*, and *Communications Physics*.

• Algebraic Geometry
• Thermal Engineering
• Energy Efficiency
• +5 more

Xi Chen is an Associate Professor in the Department of Mathematics & Statistical Sciences at the University of Alberta, Faculty of Science. His research focuses on Algebraic Geometry and interdisciplinary applications in thermal engineering, energy efficiency, and sustainable building technologies. He collaborates with civil and mechanical engineering domains to advance building performance, energy systems, and smart home technologies. Research interests include mathematical modeling of thermal dynamics, optimization of heating/cooling systems, and sustainable construction materials. He explores robotics in construction, moisture/mold prevention in timber structures, and energy forecasting through machine learning. His work addresses cold-climate challenges in residential and commercial buildings, emphasizing net-zero energy solutions and infrastructure resilience. Recent studies analyze hybrid fuel heating systems, ventilated block walls, and airtightness evaluation of Canadian dwellings. He investigates the potential of tap water for space cooling and integrates transfer learning for energy consumption forecasting. Collaborations span engineering, computer science, and environmental fields. No scientific awards are listed. Advising details and grants are not provided in the text. His work contributes to labs and teams advancing sustainable building technologies and energy-efficient systems in cold regions.

• Mathematical Finance
• Arbitrage Theory
• Stochastic Analysis
• +3 more

Professor Tahir Choulli is a faculty member in the Department of Mathematics & Statistical Sciences at the University of Alberta, specializing in Mathematical Finance and Stochastic Analysis. He holds the rank of Professor and is actively involved in teaching advanced courses such as MATH 356/357, MATH 415, and MATH 515, focusing on mathematical finance fundamentals, arbitrage theory, and stochastic processes. His research interests include Arbitrage Theory , Risk Quantification , Backward Stochastic Differential Equations , and Mathematical Insurance . He has been a keynote speaker at prestigious events like the Bachelier Colloquium and international workshops honoring Nobel laureates in Economics. His work bridges theoretical stochastic analysis with practical applications in finance and insurance. Recent publications emphasize Optimal Stopping Problems , Random Horizon Models , and Log-Optimal Portfolios , reflecting advancements in stochastic control and financial risk management. Over 40+ peer-reviewed articles highlight contributions to martingale representation, arbitrage-free pricing, and risk-minimization strategies. Choulli has advised graduate students in stochastic finance and maintains active collaborations in academic networks. His work is supported by rigorous mathematical frameworks and addresses contemporary challenges in financial markets and insurance systems.