جست‌وجوی استاد و پژوهشگر

Rohit Nishantمشاهده پروفایل

دانشیار

• AI for Sustainability
• Digital Sustainability
• Green Information Systems
• +۴ مورد دیگر

Rohit Nishant is an Associate Professor at Laval University's Department of Organizational Information Systems within the Faculty of Social Sciences (FSA). He leads the Emerging Information Technologies for Business axis at the Centre for Research in Information Technologies and Business (CeRTIA). His research focuses on AI sustainability, digital transformation, cybersecurity, and societal impact of technology. He holds a Doctor of Administration and Ph.D. in Organizational Information Systems from the National University of Singapore, an MBA from TAPAI Management Institute, and a B.Sc. in Manufacturing Engineering from the National Institute of Foundry and Forging Technology. Teaching areas include data mining, business intelligence, AI for managers, and sustainability-focused information systems. His work explores AI ethics, green IS, and blockchain applications in supply chains. Recent studies address quantum computing's societal implications, metaverse ecosystems, and fake news propagation mechanisms. He contributes to policy frameworks for AI safety and cybersecurity in digital transformation contexts. Rohit's research has been published in top journals like Journal of Strategic Information Systems , Decision Support Systems , and Journal of Industrial Ecology . He actively participates in conferences such as AMCIS and EGOS, and collaborates internationally on projects involving climate change mitigation through data management and AI.

Joseph Bennettمشاهده پروفایل

استاد

• Conservation Prioritization
• Threatened Species Conservation
• Invasion Ecology
• +۴ مورد دیگر

Joseph Bennett is a Professor at the Department of Biology and Institute of Environmental Science, Carleton University, and co-director of the Geomatics and Landscape Ecology Laboratory (GLEL). His research focuses on practical conservation decision-making, emphasizing biodiversity monitoring, invasive species management, threatened species protection, and evidence-informed environmental policy. His research interests span conservation prioritization, invasion ecology, spatial statistics, and community science applications. He develops tools to optimize monitoring programs and resource allocation for conservation agencies while integrating Indigenous knowledge into conservation frameworks. His work addresses temperate and boreal ecosystems, polar regions, and migratory species dynamics. Develops AI-driven knowledge synthesis tools (e.g., TReK) Advocates for community-engaged conservation Collaborates with Nature Conservancy of Canada and Indigenous communities Co-supervises interdisciplinary students across Canada and internationally His lab includes 14 graduate students and has produced 25+ peer-reviewed publications in 2024-2025, focusing on topics like citizen science efficacy, invasive species control, and policy reform for the Canadian Species at Risk Act. He also contributes to open science initiatives and evidence-based decision-making frameworks.

• Equity in health systems
• Health policy
• Quantification and performance measurement in health systems
• +۳ مورد دیگر

Keith Denny is an Adjunct Research Professor in the Department of Sociology and Anthropology at Carleton University, and serves as Director of Population & Indigenous Health and Classifications & Terminologies at the Canadian Institute for Health Information (CIHI), as well as Head of the WHO Collaborating Centre for the WHO Family of International Classifications. He holds a Ph.D. from the University of Toronto. His work focuses on equity in health systems, performance measurement, sociology of diagnosis, and clinical classification systems. Denny has contributed to major international initiatives like the WHO Family of International Classifications and co-authored influential papers on health equity and healthcare policy. Education: Ph.D. in Sociology, University of Toronto Research Interests: Denny’s research examines how health systems measure and address disparities through classification systems and performance metrics. He explores how diagnostic categories shape healthcare delivery, particularly in marginalized populations. His work bridges sociological theory with practical policy interventions, emphasizing the normative dimensions of health equity. Recent projects include evaluating the transition to ICD-11 and analyzing the social determinants of mental health. Publications Trends: Denny’s articles span healthcare governance, classification systems, and equity-focused policy analysis. His work frequently addresses intersections between clinical practices and social structures, with a focus on Canada and global health systems. Key themes include the role of data in driving innovation, accountability frameworks in healthcare, and the sociological implications of diagnostic categorization. Leadership Roles: - Editor of multiple special journal issues on healthcare innovation and mental health promotion - Co-editor of volumes on Canadian healthcare policy - Lead for WHO’s classification initiatives Labs/Teams: Affiliated with CIHI’s Population & Indigenous Health division and the WHO Collaborating Centre. His work involves interdisciplinary teams focusing on health data standards and equity measurement.

Ahmed Ashrafمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Biomedical Imaging
• +۶ مورد دیگر

Dr. Ahmed Ashraf is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Manitoba's Price Faculty of Engineering. His research focuses on artificial intelligence, deep learning, and biomedical imaging applications in healthcare, epigenomics, transportation engineering, and power systems. He holds a B.Sc. from UET Lahore (2000), M.Sc. and Ph.D. from Carnegie Mellon University (2006/2010), and postdoctoral training at UPenn (2013) and Toronto Rehab Institute (2018). Education: B.Sc. (2000), M.Sc. (2006), Ph.D. (2010) – Carnegie Mellon; Postdocs at UPenn (2013), Toronto Rehab (2018) His research interests include neural network architectures for biomedical image analysis, AI-driven epigenomic studies, and interdisciplinary AI applications. Key projects include developing interpretable CNN models for partial discharge classification in electrical systems, enhancing multimodal microwave imaging for breast cancer detection, and addressing algorithmic bias in facial analysis for dementia patients. Publications span applications in medical imaging, material analysis, and AI ethics, with a focus on translating machine learning innovations into clinical and engineering solutions. He actively mentors graduate students seeking interdisciplinary research opportunities.

• Geomatics Engineering
• Geospatial Information Systems
• Big Geospatial Data Analytics
• +۵ مورد دیگر

Dr. Songnian Li is a Professor and Associate Chair of Graduate Studies in the Department of Civil Engineering at Toronto Metropolitan University. His expertise spans geocollaboration systems, big geospatial data analytics, and digital twins for smart cities. He holds a PhD from the University of New Brunswick and a BEng from Wuhan Technical University of Surveying and Mapping. Dr. Li's research focuses on human mobility patterns, spatio-temporal dynamics, and geosocial media analysis. He has pioneered techniques for extracting real-time traffic insights from social media data and developed frameworks for urban solar energy mapping. His work emphasizes leveraging geospatial technologies for societal decision-making. Education: PhD (2002, UNB), BEng (1983, Wuhan) Professional Memberships: ISPRS Fellow, Editor-in-Chief of Canadian Journal of Remote Sensing Key achievements include the 2023 Career Achievement Award and 2020 ISPRS Fellowship. He supervises PhD and MASc students in geomatics, data science, and environmental management programs. His GIS and GeoCollaboration Lab explores cutting-edge applications like 3D urban modeling and cultural heritage preservation through point cloud analysis. Dr. Li advocates for student-driven research, evidenced by a supervisee's ultra-prestigious award-winning paper.

• Software Engineering
• Software Testing
• Software Design
• +۳ مورد دیگر

Benoit Baudry is a Full Professor of Computer Science at the University of Montreal's Faculty of Arts and Sciences, Department of Computer Science and Operations Research. He leads the GEODES research group (Groupe de recherche sur les systèmes ouverts et distribués et l’expérimentation dans les logiciels), focusing on software engineering challenges. His teaching responsibilities include courses like Software Quality Metrics (IFT-3913), Software Project Management (IFT-3150), and Advanced Topics in Software Engineering (IFT-6251). He is actively involved in strategic initiatives like IVADO and MITACS-funded projects. Research interests span software supply chain security, dependency management, automated software engineering, and AI-driven development tools. He leads projects such as 'Safe and Transparent Software Reuse' (2025–2031) funded by NSERC and 'CLIMB: LLM-driven MLOps Interface' (2025) supported by MITACS. His work addresses critical issues like detecting bloated dependencies, ensuring reproducible builds, and mitigating supply chain vulnerabilities. Recent funding includes NSERC Discovery Grants and Apogée Canada operational funds. He has pioneered techniques for generating mocks from production data, automating test generation via runtime analysis, and applying large language models to software repair. His interdisciplinary projects bridge software engineering with digital art, such as algorithmic art generation systems. He advises multiple graduate programs including Computer Science Bachelors, Masters, and PhD tracks. Key collaborations include KTH Royal Institute of Technology and industry partnerships like Co-operators. His research emphasizes practical solutions for real-world software systems' reliability and security.

Tony Yangمشاهده پروفایل

استاد

• Structural Engineering
• Earthquake Engineering
• Smart Construction Technologies
• +۳ مورد دیگر

Dr. Tony Yang is a Professor in the Department of Civil Engineering at the University of British Columbia (UBC), affiliated with the Faculty of Applied Science. He leads the UBC Smart Structures research group, focusing on innovative technologies for structural and earthquake engineering. Yang holds a B.Sc. from the University of Buffalo (2001), an M.Sc. (2002), and a Ph.D. from UC Berkeley (2006). His research spans advanced numerical simulations, robotic construction, AI-driven monitoring, and seismic design of resilient infrastructure. Yang is a Fellow of the Canadian Academy of Engineering and serves on 15+ technical committees, including the National Building Code of Canada’s seismic design committee. His work integrates 5G networks, robotics, and AI to advance smart construction technologies. Recent projects include a $812K industrial grant (2024) for 5G-enabled autonomous construction systems, AI inspection robots, and rapid construction methodologies. His research interests include: robotic construction automation, AI-based structural monitoring, performance-based seismic design, and sustainable infrastructure. Key contributions include over 250 publications, 14 patents, and influential roles in high-impact journals like Computer-Aided Civil and Infrastructure Engineering . Yang’s accolades include the EGBC Meritorious Achievement Award (2020), New Zealand Concrete Society Technology Award (2019), and the H.A. Krentz Research Award (2014). His lab develops cutting-edge solutions for autonomous construction sites, advanced structural fuses, and AI-driven damage detection systems.

Sen Chaiمشاهده پروفایل

دانشیار

• Innovation & Entrepreneurship
• Innovation Management
• Technology Strategy
• +۴ مورد دیگر

Sen Chai is an Associate Professor of Strategy & Organization at McGill University's Desautels Faculty of Management and a Desautels Faculty Scholar. She holds a PhD from Harvard Business School, an MS from Stanford University, and a BEng from McGill University. Her research focuses on innovation processes from ideation to commercialization, emphasizing failure management and AI's impact on creativity. Prior roles include teaching at ESSEC Business School, a postdoc at the National Bureau of Economic Research, and consulting at Deloitte. She is fluent in French and Mandarin, and an avid traveler having visited over 75 countries. Education: PhD in Technology and Operations Management, Harvard Business School MS in Management Science and Engineering, Stanford University BEng in Electrical Engineering (minor in Management), McGill University Research interests span innovation ecosystems, strategic collaboration, and temporal coordination in global teams. Her work analyzes how organizations recover from catastrophic failures and leverage AI for idea generation. Recent studies include gender bias in academic citations and temporal brokerage effects in distributed teams. Publications highlight interdisciplinary approaches to innovation challenges, with notable work on Virgin Galactic crash aftermath, conference networking impacts, and academic-industry partnerships. Her scholarship bridges management theory with practical strategy implementation. Awards include the prestigious Desautels Faculty Scholar distinction. Teaching focuses on managing innovation and strategy-building through courses like MGPO 460 and MGPO 630.

Maxime Cohenمشاهده پروفایل

استاد

• Data Science
• Operations Management
• Retail Analytics
• +۴ مورد دیگر

Maxime Cohen is a Professor of Retail and Operations Management and the Scale AI Chair in Data Science for Retail at McGill University's Desautels Faculty of Management. He serves as Academic Director of the Bensadoun School of Retail Management and holds courtesy appointments in Electrical and Computer Engineering. His research focuses on integrating AI and data science into retail, operations, and public policy, with collaborations spanning industries like healthcare, retail, and conflict analytics. He has authored influential books including *Pricing in the Age of AI* (MIT Press, 2026) and *Demand Prediction in Retail* (Springer, 2022). Cohen holds a PhD in Operations Research from MIT and has held roles at NYU Stern, Google AI, and as a high-frequency trader. He advises startups like Intelligems and Cherre, and leads initiatives at institutions such as the Jewish General Hospital and MyOpenCourt.org. His work has been recognized with awards like the Poets&Quants 40-Under-40 and MSOM Young Scholar Prize. Research interests include fair machine learning, field experiments in retail, and AI-driven decision-making. His grants include SSHRC and NSERC funding for projects on AI governance and socially responsible retail practices. Over 20 students have graduated under his supervision, many securing roles at top firms and universities. Labs/Teams: Co-Director of Retail Innovation Lab; Scientific Director of MyOpenCourt.org; Member of CIRRELT and GERAD.

Mary Dellarمشاهده پروفایل

مدرس

• Marketing
• Consumer Behavior
• Brand Management
• +۳ مورد دیگر

Mary Dellar is a Faculty Lecturer in Marketing at McGill University, affiliated with the Marcel Desautels Institute for Integrated Management . She also serves as a Case Associate , contributing to academic materials development. Her expertise lies in marketing strategies, consumer behavior, and high-tech sector applications. Education: MBA in High-Tech, University of Ottawa Graduate Diploma in Sports Administration (Dean’s List), Concordia University BA in Economics, Concordia University Research interests focus on modern marketing challenges, including brand management in digital ecosystems and analytics-driven decision-making. Her work intersects with business ethics and equity through affiliations like the Laidley Centre for Business Ethics and Equity (LCBEE) . Labs/Teams: Active contributor to the McGill Dobson Centre for Entrepreneurship and the Marcel Desautels Institute , fostering interdisciplinary innovation in business education.

Saku Mantereمشاهده پروفایل

استاد

• Strategy Process
• Strategy-as-Practice
• Organizational Change
• +۷ مورد دیگر

Saku Mantere is a Professor of Strategy and Organization at the Desautels Faculty of Management, McGill University, and Director of the Marcel Desautels Institute for Integrated Management. His research focuses on strategic organizations, strategic change, middle management agency, strategy discourse, and qualitative research methods. He holds degrees in engineering (D.Sci., M.Sc.) and philosophy (MA). Previously, he taught at institutions including Warwick Business School, Hanken School of Economics, and Aalto University. Key areas of expertise include strategy process, Strategy-as-Practice, organizational change, communication, and research methods. Awards include the Best Published Paper in Organization and Management Theory (2014) and the SO!What award (2010). His work has been published in top journals like Administrative Science Quarterly and Academy of Management Review. Mantere’s research emphasizes methodological rigor and the sociocultural dimensions of strategy. Recent work explores AI’s impact on research, ethical considerations in corporate political activity, and impasse resolution in creative processes. He leads initiatives like the Strategizing Activities and Practices (SAP) group and contributes to the Delve thought leadership platform.

Jared Leeمشاهده پروفایل

مدرس

• Design Thinking
• Innovation Strategy
• Organizational Behavior
• +۳ مورد دیگر

Jared Lee is a Faculty Lecturer in the Strategy & Organization department at McGill University’s Desautels Faculty of Management. He specializes in teaching design thinking, innovation, and entrepreneurship across graduate and undergraduate programs. His roles include leading workshops at the McGill Executive Institute and consulting through Juniper, a strategy-focused firm. Education: MBA (Global Strategy & Leadership, McGill, 2018), MS Mechanical Engineering (Stanford, 2011), BS Aerospace Engineering (University of Florida, 2009). Research interests focus on applying design thinking to organizational challenges, strategic problem-solving, and leadership development. He emphasizes empathy-driven communication and team performance improvement in both academic and corporate contexts. Awardees of the 2024 Morty Yalovsky Distinguished Teaching Award, Lee’s work bridges academic rigor with real-world application through custom workshops and executive coaching. Advising and professional engagements include strategic planning for transportation, education, and non-profit sectors. He co-founded PeaceGeeks, leveraging technology for global peace initiatives. Certified in Agile and SCRUM methodologies, he integrates modern project management frameworks into teaching and consulting.

Juan C Serpaمشاهده پروفایل

دانشیار

• Sustainability Research
• Digital Transformation
• Data Analytics for Conservation
• +۵ مورد دیگر

Juan C Serpa is an Associate Professor at the Desautels Faculty of Management at McGill University , where he serves as Area Coordinator for Operations Management and Director of the Management Science Research Centre . He is also the founding director of the Data Mangrove Institute (datamangrove.com) and creator of SUSANhub.com , the largest sustainability social network in academia. His work focuses on digital transformation for conservation efforts and sustainable supply chain solutions. Education : Not explicitly mentioned in the text Professor Serpa's research centers on sustainability through data analytics and digital transformation . His projects include Mono-SOS.com , which uses data-driven approaches to improve wildlife safety on Costa Rican roads, and the Sustainability Academic Network , which facilitates global collaboration in climate change research. His work spans themes such as solar energy , mining sustainability , and circular economy initiatives. Recent publications highlight his expertise in supply chain resilience ( Inventory in Times of War , 2020) and competitive airfare management (2023). He received the SSHRC Insight Development Grant in 2024 for his research contributions. Scientific Awards William Dawson Scholar SSHRC Insight Development Grant recipient As founder of SUSANhub.com , Professor Serpa has created a platform for sharing datasets, academic papers, and conservation resources across disciplines. His leadership in the Management Science Research Centre and Data Mangrove Institute demonstrates his commitment to interdisciplinary sustainability solutions through technological innovation.

Eddy Ngمشاهده پروفایل

استاد

• Human Resources Management
• Diversity Management
• Organizational Behavior
• +۳ مورد دیگر

Eddy Ng is a Professor at the Smith School of Business, Queen’s University, holding the Smith Professorship of Equity & Inclusion. Previously, he held the James & Elizabeth Freeman Professorship at Bucknell University and the F.C. Manning Chair at Dalhousie University. His research focuses on diversity management, organizational competitiveness, and the future of work. He has authored over 90 peer-reviewed articles and six books, with notable contributions to understanding generational differences, LGBTQ+ workplace inclusion, and DEI policy impacts. His work is funded by SSHRC grants and recognized in top 2% of scientists (Stanford Study). Education includes a PhD from McMaster University, MBA from Simon Fraser University, and BCom from UBC. Prior to academia, he worked in corporate roles at TD Bank across banking, planning, and HR. He serves as Editor-in-Chief of *Equality, Diversity and Inclusion* and Chair of the Gender & Diversity division at the Academy of Management. Research highlights include analyzing anti-DEI political agendas, generational workforce shifts, and representative bureaucracy theories. His recent work emphasizes global diversity indices, cross-border equity strategies, and the health impacts of discriminatory policies. Media features include CBC, NPR, and *Globe and Mail*. Grants and awards reflect his leadership in diversity scholarship, including SSHRC funding and editorial roles. He advises organizations on navigating DEI challenges and has pioneered frameworks for measuring multicultural policy effectiveness in public sectors.

Jue Wangمشاهده پروفایل

دانشیار

• Operations Research
• Management Science
• Wildlife Conservation Analytics
• +۴ مورد دیگر

Jue Wang is an Associate Professor & Distinguished Faculty Fellow of Management Analytics at the Smith School of Business, Queen's University, Canada. He holds a cross-appointment as Affiliate Professor in Mechanical & Industrial Engineering at the University of Toronto (2019–present). His research focuses on operations research applications in wildlife conservation, public health, and revenue management. He completed his PhD in Industrial Engineering & Operations Research at the University of Toronto (2013) and has led big data analytics projects in energy, transportation, and mining sectors. Educations: PhD, Industrial Engineering & Operations Research, University of Toronto (2013) MSc, Biomedical Engineering, Peking University (2008) BSc, Biomedical Engineering, Xi’an Jiaotong University (2007) Research Interests: Wildlife disease management (e.g., Chronic Wasting Disease surveillance strategies) Threatened species conservation optimization (e.g., Hainan gibbon population modeling) Whale conservation via vessel speed reduction zone optimization Real-time decision-making with monitoring data Optimal control theory applications in revenue management Key Research Trends: Recent work emphasizes conservation analytics, integrating operations research with ecological data to address biodiversity challenges. Publications show focus on strategic surveillance planning, endangered species management, and sustainable shipping practices. His 2024 Management Science paper pioneered AI-driven models for species recovery, highlighted by INFORMS. Awards: Distinguished Faculty Fellow, Queen's University Scotiabank Scholar (Scotiabank Centre for Customer Analytics) Advising & Grants: Supervises students in conservation analytics and operations research. Collaborates with Cornell Wildlife Health Lab on CWD management tools deployed across 27 wildlife agencies via SOP4CWD data warehouse. Active in grant-funded projects involving wildlife agencies and conservation organizations. Labs/Teams: Leads conservation analytics initiatives with Hainan Tropical Rainforest National Park and Cornell University. Develops decision-support systems for wildlife agencies through interdisciplinary teams of biologists, data scientists, and policymakers.