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Geoffrey E. Hinton is a distinguished Professor in the Department of Computer Science at the University of Toronto. He is renowned for his foundational contributions to machine learning, particularly in the development of deep learning and neural networks. His research focuses on understanding learning processes in both artificial and biological systems, with key contributions including Boltzmann machines, backpropagation, and deep belief networks. He teaches advanced machine learning courses such as CSC2535, emphasizing topics like graphical models, variational inference, and deep learning architectures. His work has been published extensively in top journals and conferences, with recent papers exploring forward-forward algorithms, analog diffusion models, and scalable neural network training methods. Hinton has advised numerous PhD and master's students and collaborates with institutions like Vector Institute. He is a central figure in the global AI community, regularly presenting at conferences (e.g., 2023 talks on CBS 60 Minutes, BBC, and PBS). His lab focuses on advancing machine learning theory and applications, addressing challenges in vision, language, and generative models.

• Machine Learning
• Artificial Intelligence
• Neural Networks
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Khuzaima Daudjee is a Professor and David R. Cheriton Faculty Fellow in the Cheriton School of Computer Science at the University of Waterloo. His research focuses on systems-oriented problems at the intersection of systems and data management, particularly building large-scale systems, storage infrastructure in the cloud, and modern hardware applications. He leads projects in distributed database systems, elastic scaling, and resource optimization. His recent work includes Caerus (geo-replicated transactions), Tiresias (predictive storage), and MorphoSys (automatic physical design metamorphosis). Daudjee has chaired major conferences including ICDE 2026 and serves on editorial boards for VLDB, SIGMOD, and IEEE TKDE journals. His awards include ACM Distinguished Scientist and multiple best paper awards. Educational initiatives include developing distributed systems teaching materials and supervising graduate students across database and distributed systems domains. His industry collaborations involve cloud infrastructure optimization and scalable data processing frameworks.

• Distributed Systems
• Database Management
• Cloud Computing
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Dr. Tarek Sayed is a Professor at the University of British Columbia's Department of Civil Engineering within the Faculty of Applied Science. He specializes in Transportation Engineering, focusing on road safety analysis, traffic operations, and Intelligent Transportation Systems (ITS). He serves as the Director of the Bureau of Intelligent Transportation Systems and Freight Security (BITSAFS-Engineering) and Editor of the Canadian Journal of Civil Engineering . His research addresses three core areas: improving road safety evaluation techniques, enhancing safety through traffic operations and highway design analysis, and advancing ITS technologies. Notable contributions include frameworks for safety-audits of infrastructure projects like the Sea to Sky Highway and methodologies for evaluating transit signal priority systems in Vancouver. He has authored/co-authored over 250 publications and supervised 60 graduate students. Key Roles: Professor, BITSAFS Director, Journal Editor Awards: Tier 1 Canada Research Chair, Wilbur Smith Award, Sandford Fleming Award, Prince Michael International Road Safety Award Consulting: Global projects in traffic safety and ITS for agencies like ICBC, FHWA, and Ashghal His research integrates Bayesian statistical methods, extreme value theory, and machine learning to model traffic conflicts, pedestrian behavior, and safety interventions. Current projects include real-time safety optimization using autonomous vehicle data and analyzing shared space interactions between cyclists and pedestrians. Dr. Sayed chairs national/international committees, including the U.S. Transportation Research Board’s safety data committee. His work bridges academia and practice, influencing policy and infrastructure investment decisions worldwide.

• Transportation Engineering
• Traffic Safety Analysis
• Intelligent Transportation Systems (ITS)
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Dr. Zhenman Fang is an Associate Professor at the School of Engineering Science , Simon Fraser University (SFU) , where he founded and directs the HiAccel Lab . He also holds an associate membership in the School of Computing Science at SFU. His research focuses on customizable computing with software-defined hardware acceleration , addressing performance, energy-efficiency, and reliability in post-Moore’s law computing across domains like machine learning , big data analytics , quantum chemistry , and precision medicine . Education: Ph.D. in Computer Science from Fudan University (2014), with a visit to University of Minnesota during his studies. Postdoctoral Work: University of California, Los Angeles (UCLA) (2014-2017). Industry Experience: Staff Software Engineer at Xilinx (2017-2019). Dr. Fang’s research spans the entire computing stack , including application characterization , accelerator-rich architecture design , and programming/tool support . He has developed frameworks like HiSpMV , SyncNN , and SQL2FPGA , emphasizing FPGA acceleration for vision transformers , quantum chemistry , and spiking neural networks . His work has been recognized with 3 best paper awards (FPL 2024, TCAD 2019, MEMSYS 2017) and 3 best paper nominees (FCCM 2025, HPCA 2017, ISPASS 2018). Recent publications highlight trends in low-precision machine learning ( ShiftQuant , ESRU ), quantum chemistry acceleration ( SERI ), and vision transformer optimization ( Quasar-ViT ). His HiAccel Lab actively mentors PhD and MASc students , with notable graduates like Alec Lu (PhD 2024, now at Meta) and Philip Stachura (MASc, now with BC Graduate Scholarship). Scientific Awards: Inaugural SFU Research Excellence Award - Horizon Award (2025) FPL 2024 Stamatis Vassiliadis Best Paper NSERC Alliance Award (2020) CFI JELF Award (2019) Xilinx University Program Award (2019) IEEE Senior Member (2023) Grants: NSERC Discovery Grant (2019) CFI JELF Funding (2019) Huawei and Xilinx sponsorships Dr. Fang leads open-source initiatives like SyncNN , PASTA , and SQL2FPGA , and serves as General Chair for ASAP 2025 and Program Co-Chair for RAW 2025 . His lab collaborates globally with institutions such as UCLA , Northeastern University , and Xidian University .

• Customizable Computing
• Heterogeneous Computing
• FPGA Acceleration
• +8 more

Professor Diana Inkpen is a faculty member at the School of Electrical Engineering and Computer Science, University of Ottawa. She holds a Ph.D. from the University of Toronto's Department of Computer Science and degrees from the Technical University of Cluj-Napoca, Romania (M.Sc. and B.Eng.). Her research focuses on computational linguistics, natural language processing (NLP), and artificial intelligence, with specialties in natural language understanding/generation, lexical semantics, and semantic web agents. Education: Ph.D., Computer Science, University of Toronto M.Sc., Computer Science and Engineering, Technical University of Cluj-Napoca B.Eng., Computer Science and Engineering, Technical University of Cluj-Napoca Affiliations: Director, NLP Lab Editor-in-Chief, Computational Intelligence journal Associate Editor, Natural Language Engineering journal Her research has led to roles such as program co-chair for AI 2012 and leadership in organizing international workshops. She has received funding from NSERC, SSHRC, and OCE, and was honored with a Visiting Professor title at the University of Wolverhampton, UK. Her teaching spans courses like Information Retrieval, Natural Language Processing, and Prolog programming. Professor Inkpen's work bridges NLP innovations with societal challenges, including mental health surveillance via social media analysis and bias mitigation in AI systems. She actively contributes to interdisciplinary projects, such as detecting hate speech and legal text entailment, while maintaining a global research network through collaborations and international conference involvement.

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
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WonSook Lee is a tenured Full Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa’s Faculty of Engineering. Her expertise spans medical imaging, machine/deep learning, computer graphics, and computer vision. She earned her Ph.D. in Computer Science from the University of Geneva (Switzerland) and holds degrees from POSTECH (Korea) and NUS (Singapore). Before academia, she worked at Korea Telecom, Samsung Advanced Institute of Technology, and Eyematic Interfaces Inc. (USA). Her research focuses on applications such as virtual/augmented reality, MRI/CT/Ultrasound analysis, and 3D mesh modeling. She has authored over 130 publications, including 30+ journal papers, and serves on conference committees and editorial boards. Lee has secured major grants (NSERC, CFI, ORF) as Principal Investigator and contributed to global initiatives like South Korea’s National Research Foundation. Her lab explores cutting-edge techniques in medical imaging, AI-driven object detection, and multimodal systems. Notable projects include adversarial perturbation analysis for model robustness, cross-domain GANs for semantic segmentation, and real-time ultrasound-enhanced pronunciation training. She actively promotes interdisciplinary research in healthcare technology and autonomous systems.

• Medical Imaging
• Machine Learning
• Deep Learning
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Hisham Zerriffi is an Associate Professor at the University of British Columbia (UBC) in the Department of Forest Resources Management, Faculty of Forestry. He also serves as Associate Dean for Equity, Diversity, and Inclusion. His research intersects technology, energy, and the environment, focusing on rural areas in the Global South. Affiliation: BioProducts Institute Affiliation: Clean Energy Research Centre Affiliation: Institute for Resources, Environment and Sustainability His research examines institutional factors in technology diffusion, household energy choices, and welfare impacts of energy use. Current projects include analyzing forest density's ecological impact, clean cooking transitions in India, and decentralized energy systems. Recent publications address just transitions, biomass energy economics, and policy misalignments in Indigenous communities. He has authored works on climate change mitigation via forest carbon credits and rural electrification strategies. Scientific Award: Ivan Head South/North Research Chair As a PhD supervisor, he has guided Natalie Payer on urban energy poverty in the U.S. He collaborates on interdisciplinary grants and leads the Energy Resources, Development and Environment Lab (ERDELab).

• Environmental Geography
• Forestry
• Biomass Energy
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Kiran Pedada is an Associate Professor of Marketing at the Asper School of Business, University of Manitoba, and holds the F. Ross Johnson Fellow and The Associates Fellow in Marketing and Inclusive Business. Previously, he was an Assistant Professor at the Indian School of Business (ISB) and a Visiting Scholar at the University of North Carolina. He has been recognized as ISB’s Teacher of the Year (2020 and 2021) and named a top MBA professor by BusinessBecause. His research focuses on marketing strategy, digital transformation, emerging markets, and inclusive business practices. Dr. Pedada earned his Ph.D. in Marketing from Texas Tech University, where he won the Helen Devitt Jones Excellence in Graduate Teaching Award. His doctoral work on international marketing alliances in emerging markets won the prestigious AMS Mary Kay Inc. Doctoral Dissertation Award. Before academia, he worked in management consulting and corporate strategy. Research Interests : Marketing strategy in digital environments Social and financial impact of marketing Global marketing expansion via digital ecosystems Emerging markets dynamics Brand competitiveness through digital orientation Key Contributions : His research has been published in top journals like Journal of Marketing Research and Journal of the Academy of Marketing Science. He co-authored cases on digital transformation for Harvard Business Publishing and serves on editorial boards of key marketing journals. His work has been featured in Forbes, Fortune, and CNN. Awards : AMS Mary Kay Inc. Doctoral Dissertation Award (2019) F. Ross Johnson Fellowship Teacher of the Year (ISB, 2020 & 2021) He actively advises on digital readiness of SMEs and ESG integration in alliances. His current projects explore metaverse applications and rural microentrepreneurship in India.

• Marketing Strategy
• Digital Marketing
• Emerging Markets
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Benjamin Alarie is a Professor and the Osler Chair in Business Law at the University of Toronto Faculty of Law. He is a leading scholar at the intersection of artificial intelligence, law, and taxation, and the co-founder and CEO of Blue J, an AI-powered tax research platform used by over 3,000 organizations across North America and the UK. Education: LL.M. – Yale Law School (2003) J.D. – University of Toronto (2002), with honours M.A. – University of Toronto (2002) B.A. – Wilfrid Laurier University (1999), with high distinction Research Interests: Alarie’s research spans tax law , legal theory , judicial behaviour , and the applications of machine learning in law . He introduced the concept of the “legal singularity”—the idea that legal systems may evolve toward greater clarity and predictability through AI and computational methods. His work explores how AI can enhance legal reasoning, regulatory design, and tax compliance. He is particularly focused on the ethical and practical implications of generative AI in legal and tax practice, including liability, transparency, and the future role of human practitioners in AI-augmented systems. Scientific Awards: PROSE Award (2024) for The Legal Singularity Donner Prize shortlist (2024) for The Legal Singularity vLex Fastcase 50 Honoree (2023) Top 50 Changemaker, The Globe and Mail (2022) Alan Mewett QC Prize for Excellence (2009) Advising & Grants: Alarie is a frequent advisor to courts, government agencies, and global professional networks. His work at Blue J involves strategic partnerships with CPA.com, CPA Canada, the National Association of Tax Professionals, Big 4 accounting firms, and Tax Notes. He also serves as a faculty affiliate at the Vector Institute for AI and the Schwartz Reisman Institute for Technology and Society. Labs & Teams: As CEO of Blue J, Alarie leads a multidisciplinary team of legal scholars, engineers, and data scientists. The platform is used by tax authorities and accounting firms to deliver precise, defensible, and efficient tax research and decision-making tools.

• Tax Law
• Artificial Intelligence and Law
• Legal Theory
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Ben Amor is a Full Professor in the Department of Civil Engineering at the Faculty of Engineering, Université de Sherbrooke, where he serves as Director and Founder of the CIRMIB (Integrated Research Center on Sustainable Materials, Infrastructure and Buildings) and Director of Sustainable Development for the Faculty of Engineering. Previously, he held associate professor positions at Université Laval and Université de Sherbrooke. His research focuses on Life Cycle Assessment (LCA) methodologies applied to sustainable construction, circular economy implementation in building sectors, and building decarbonization strategies. He has pioneered regionalized LCA approaches for Arctic regions and developed frameworks for carbon budgeting in building sectors. His work bridges environmental science with practical engineering solutions for sustainable infrastructure. His recent publications reveal strong trends in building decarbonization pathways, material circularity in construction, and the integration of biogenic carbon accounting. He emphasizes both technological solutions and behavioral change strategies for achieving net-zero emissions in the built environment. ACLCA 2018 Life Cycle Assessment Leadership Award Life Cycle Academy Awards 2019 (two awards) Quebec Public Administration Excellence Prize 2023 for Scientific Collaboration Multiple university teaching awards including the Jacques-Bazinet Merit Award Professor Amor leads significant research grants totaling over $20 million, including NSERC Alliance grants for sustainable building materials and a $2 million Research Chair on Net Zero Strategies and Life Cycle Assessment. He directs the CIRMIB research center and the LIRIDE (Interdisciplinary Research Laboratory in Sustainable Engineering and Eco-design), supervising multiple doctoral candidates. His work includes developing LCA tools for Quebec's construction industry and advising government bodies on sustainable procurement policies.

• Life Cycle Assessment
• Sustainable Construction
• Circular Economy
• +4 more

Patrick Brown is an Associate Professor at the University of Toronto , affiliated with the Department of Statistical Sciences and cross-appointed to the Centre for Global Health Research and St. Michael's Hospital . His research focuses on spatio-temporal data modeling , Bayesian inference , and non-parametric methods for spatial epidemiology and environmental sciences. Fields of Interest : Spatial Statistics, Cancer Statistics, Statistical Software Education : PhD from University of Lancaster His methodological work encompasses Bayesian inference for non-Gaussian spatial data, Gaussian Markov random fields, and computational techniques like INLA and MRA. Applied research themes include disease mapping, environmental risk assessment, and public health surveillance using real-world data sources such as electronic health records and wastewater monitoring . He has developed key R packages (mapmisc, geostatsp, diseasemapping) supporting spatial statistical applications. Current collaborative projects span diverse fields: Ultra-diffuse galaxy detection with astrophysical applications Multi-pollutant mortality studies in Canadian cities SARS-CoV-2 seropositivity tracking Homelessness population estimation using EHR Geospatial cancer risk tools for Nova Scotia His work bridges statistical innovation with global health challenges , emphasizing computationally efficient solutions for large-scale spatiotemporal datasets.

• Spatial Statistics
• Cancer Statistics
• Statistical Software
• +3 more

Trevor Goodyear is an Assistant Professor at the University of British Columbia (UBC) Faculty of Applied Science, School of Nursing. His research explores substance use, mental health, and health equity among marginalized populations, particularly 2S/LGBTQ+ youth and people who inject drugs. Education: MSN, MPH, PhD Research Interests: Harm reduction, LGBTQ+ health, mental health, public health, health equity, social determinants of health His recent work examines harm reduction strategies, structural vulnerabilities, and health narratives in urban drug scenes. Publications analyze cannabis use, overdose prevention, conversion practices, and the intersection of gender identity with substance use. His research employs qualitative methods like photovoice and narrative analysis to center marginalized voices. Key trends in his articles include the role of stigma in healthcare, policy implications of substance use research, and the impact of the COVID-19 pandemic on mental health disparities. He advocates for evidence-informed policies and community-driven interventions to address systemic inequities.

• Substance Use
• Mental Health
• LGBTQ+ Health
• +3 more

Thierry Warin is a Full Professor of Data Science for International Business at HEC Montréal, directing the Department of International Business. He holds the Professorship in Data Science for International Business and is a Principal Investigator at CIRANO, leading the World Economy theme. His roles include affiliations with Harvard Business School’s Microeconomics of Competitiveness program and the International Trade and Finance Association presidency (2020-2022). Education: PhD from ESSEC Business School (France, 2000). Professional development includes the Harvard Business Analytics Program (2018-2020) and GIS training at Harvard. Research Interests: Data science applications in global economic transformations, including network theory, natural language processing, and computational methods. Focus areas: algorithmic collusion, platform economies, and metadata-driven analyses. He develops open-source tools like the statcanR package and advocates for reproducible research. Articles Trends: Recent work explores AI regulation, algorithmic competition, climate transition plans, and central bank speech analysis. Methodologies span structural topic modeling, social media analytics, and entropy-based frameworks. Awards: Honored with the Highly Commended Paper Award (2017-2018) and Emerald Literati Award (2018) for reverse innovation research. Recognized for contributions to computational social science and regulatory frameworks. Advising & Grants: Supervised 16 master’s projects since 2019, focusing on data science applications in global business challenges. Active in interdisciplinary initiatives like the St. Lawrence–Great Lakes corridor data hub. Labs & Philanthropy: Founded quantum simulations and leads Ed’Haîti , an NGO addressing education in Haiti. Collaborates on Science des données au féminin en Afrique , empowering 200 African women with data science skills.

• Data Science for Global Transformations
• Platform Economy
• Industrial Organization
• +7 more

Jonn Axsen is a Professor in the School of Resource & Environmental Management at Simon Fraser University (SFU), where he directs the Sustainable Transportation Research Team (START). With an academic career focused on mitigating transportation emissions, he bridges individual decision-making, social systems, technology, and public policy to advance sustainable mobility solutions. BBA, Business Administration (First Class Honours), Simon Fraser University MRM, Resource Management, Simon Fraser University PhD, Transportation Technology and Policy, University of California, Davis His research identifies solutions for decarbonizing road transportation, examining electric vehicles, alternative mobility systems, and policy frameworks. He emphasizes interdisciplinary approaches to understand consumer behavior, organizational transitions, and policy effectiveness in achieving zero-emissions vehicle adoption. Recent publications focus on policy mixes for ZEV adoption, automobility reduction, and consumer perceptions of emerging mobility technologies. Key trends include analyzing subsidy effectiveness, automaker responses to regulation, and cross-cultural differences in mobility preferences. His work appears in top venues like Nature Climate Change and Transportation Research Part D . Royal Society of Canada Fellow (2021) International Transport Forum Award (2012) Securing $2M+ in grants from SSHRC, Translink, Tesla, and PICS, Axsen collaborates with organizations including the UN, Transport Canada, and environmental NGOs. He serves as Senior Associate Editor for Energy Research & Social Science and sits on the US National Academies’ Transportation Research Board. The START team at SFU conducts applied research on sustainable transportation, integrating stakeholder insights with academic rigor. Axsen's lab focuses on bridging technical and social dimensions of mobility transitions through mixed-method studies.

• Sustainable Transportation
• Greenhouse Gas Emissions Mitigation
• Electric Vehicles
• +4 more

Robinder P. Bedi is a Professor in the Department of Educational and Counselling Psychology, and Special Education at the University of British Columbia (UBC). He specializes in Counselling Psychology , with a focus on Cultural Psychology , Multicultural Counselling Competencies , and integrating Indigenous Psychologies into Western practices. His work addresses Counselling with Men and Masculinity , Folk Models of Illness , and Cultural Adaptation of Psychotherapy , particularly for Punjabi Sikh and Asian-Indian populations. Research Trends : Recent publications analyze the ideological underpinnings of Western psychotherapy , gender dynamics in Indian counselling , and program evaluations for immigrant/refugee trauma interventions . Subfields include implicit bias in Muslim mental health , substance use recovery metrics , and sexuality counseling pedagogy . Scientific Awards : Michael Smith Foundation for Health Research Scholar Award (2009) Green College Leading Edge Scholar (2015) Killam Laureate (2022) Canadian Psychological Association Fellow (2023) Advising : Mentored students such as Kesha Pradhan (PhD candidate), Syler Hayes (poster awardee), and Graham Haber (SSHRC awardee). His lab promotes multi-level mentorship and co-authorship opportunities. Labs : Leads the Counselling and Psychotherapy Research, Teaching, and Service (RTS) Lab at UBC, which emphasizes critical thinking , cross-cultural research , and integration of traditional healing methods .

• Counselling Psychology
• Cultural Psychology
• Multicultural Counselling Competencies
• +7 more