جست‌وجوی استاد و پژوهشگر

• Internet of Things (IoT)
• Wireless Sensor Networks (WSN)
• Active Learning Classrooms
• +۵ مورد دیگر

Maher Elshakankiri is an Assistant Professor, Teaching Stream at the University of Toronto's Faculty of Information. He holds a Ph.D. in Computer Engineering from Ain Shams University (Egypt), followed by a postdoctoral fellowship at the University of Regina. His research focuses on IoT, Wireless Sensor Networks (WSN), and pedagogical integration of technology and gaming. He has supervised over 100 student projects and authored a book on WSNs. Education: Ph.D. in Computer Engineering, Ain Shams University, Egypt M.Eng., B.Eng. in Engineering, Ain Shams University, Egypt Postdoctoral Fellowship, University of Regina, Canada Research Interests: IoT in healthcare, agriculture, and sports Active learning classrooms and technology in education Wireless communication protocols (V2V, UAV, RFID) Leadership & Grants: Director, Bachelor of Information (BI) Program (2024–present) Coordinator, Information Systems and Design (ISD) Concentration (2023) SSHRC Grant: 'Gaming in teaching towards a more inclusive class' (2022–2023) Professional Activities: Member, SCC IoT & Digital Twins Standards Committee Reviewer for journals including Wireless Networks , Telematics and Informatics , and Computational Intelligence Technical Program Committee member at multiple conferences Teaching: Courses include INF1340 (Programming for Data Science), INF1005/1006 (IoT Workshops), and INF452 (Information Design Coding).

Manisha Kulkarniمشاهده پروفایل

استاد

• Vector-borne Diseases
• Climate Change and Health
• Epidemiology
• +۱۴ مورد دیگر

Dr. Manisha Kulkarni is a Professor at the School of Epidemiology and Public Health, University of Ottawa, where she holds the University Research Chair in Climate Change and Emerging Diseases. She is also the Director of the INSIGHT (Interdisciplinary Spatial Informatics for Global Health) research lab and serves as Scientific Director of the Canadian Lyme Disease Research Network (TickNet Canada). Her work spans global public health, with a focus on vector-borne and zoonotic diseases. PhD in Medical Entomology, McGill University (2006) BSc in Environmental Biology, McGill University (2001) Dr. Kulkarni's research centers on the socio-ecological determinants of infectious disease emergence, particularly malaria, Lyme disease, and West Nile virus. She applies population surveys, entomological field sampling, molecular diagnostics, and GIS to study spatio-temporal patterns and the impacts of climate change and landscape transformation on disease transmission. Her work emphasizes One Health approaches and capacity building in low-resource settings. Her recent research trends show a strong focus on geospatial modeling of vector-borne diseases, climate change adaptation, urban tick surveillance, and international collaborations in Tanzania, Benin, and Latin America. She leads interdisciplinary projects integrating drone mapping, citizen science (e.g., eTick.ca), and community participation to identify disease risk factors. Scientific awards and recognitions include: University Research Chair in Climate Change and Emerging Diseases Ontario Early Researcher Award Faculty of Medicine Award for Leadership in Global Health (2023) Researcher of the Year, Faculty of Medicine (2019) Member, College of New Scholars, Royal Society of Canada NSERC Discovery Grant and CIHR funding Dr. Kulkarni has successfully advised multiple PhD and Master’s students and leads major funded projects supported by CIHR, PHAC, CFI, IDRC, and NSERC. She has held leadership roles as Associate Dean of Global Health (2021–2024) and currently serves on the CIHR Institute of Infection and Immunity advisory board. Her lab, INSIGHT, fosters an interdisciplinary training environment combining field, lab, and analytical methods for global health research. Key research teams and collaborations include: INSIGHT Lab, University of Ottawa Pan-African Malaria Vector Research Consortium (PAMVERC) Canadian Lyme Disease Research Network (TickNet Canada) London School of Hygiene & Tropical Medicine (LSHTM) National Microbiology Lab, PHAC Centre de Recherche Entomologique de Cotonou (CREC), Benin

Gabriel Wainerمشاهده پروفایل

استاد

• Modelling and Simulation Methodologies
• Discrete Event Systems
• Real-Time Modelling
• +۷ مورد دیگر

Dr. Gabriel Wainer is a Professor in the Department of Systems and Computer Engineering at Carleton University's Faculty of Engineering and Design. He leads the Advanced Real-Time Simulation Lab and specializes in modeling and simulation methodologies, particularly focusing on discrete event systems, real-time modeling, cellular automata, and DEVS formalism. Research Interests: Discrete event systems, DEVS formalism, cellular automata, real-time simulation, IoT applications, and parallel/distributed simulation Affiliation: Carleton University Recent publications highlight his work in advanced simulation frameworks, energy-efficient 5G systems using deep reinforcement learning, and pandemic modeling with cellular automata. His lab develops tools like PROMETHEUS and Devsmap for standardized DEVS model representation, while also exploring applications in wireless communication, building energy systems, and behavioral epidemiology.

Anne-Marie Nicolمشاهده پروفایل

دانشیار

• Health communication
• Toxicology
• Social marketing
• +۲ مورد دیگر

Dr. Anne-Marie Nicol is an Associate Professor of Professional Practice in Health Sciences at Simon Fraser University. Her multidisciplinary research spans health communication, toxicology, social marketing, risk perception, and risk assessment, with emphasis on environmental and occupational health exposures. She leads CAREX Canada, a national carcinogen surveillance program, and has developed public health campaigns including Wash with Care and Tick Talk. Her work focuses on translating scientific information about carcinogens to policymakers and cancer prevention stakeholders. She teaches Human Health Risk Assessment, Toxicology for Public Health, and Health Communication. Her research has been funded by CIHR, Michael Smith Foundation, and Canadian Cancer Society. Current projects include studies on radon exposure, infodemic communication strategies, and community resilience to wildfire smoke. She holds a BA from SFU, MES from York University, and PhD from UBC.

Stephen Brooksمشاهده پروفایل

استاد

• Computer Graphics
• Visualization
• Human-Computer Interaction
• +۱۳ مورد دیگر

Stephen Brooks is a Professor in the Faculty of Computer Science at Dalhousie University, actively contributing to research and education in computer graphics, visualization, and human-computer interaction. He is affiliated with the Human-Computer Interaction, Visualization & Graphics research cluster and currently supervises multiple graduate students on diverse projects. PhD in Computer Science, University of Cambridge (2004) MSc in Computer Science, University of British Columbia (2000) BSc, Brock University (1998) His research focuses on computer graphics and visualization, particularly non-photorealistic rendering, image editing, 3D geospatial systems, ocean visualization, and real-time rendering of natural phenomena. He has also worked in sound synthesis and motion editing. His recent publications show a strong emphasis on visual analytics, network flow visualization, and ocean science applications. His work spans interdisciplinary domains including environmental science, genomics, cybersecurity, and digital art. He has developed visualization tools for ocean science under a major CFREF-funded initiative and created novel methods for rendering stained glass, mixed media art, rivers, and ocean surfaces. His research integrates perception, automation, and user interaction to enhance visual analysis. Notable scientific contributions include work on tone mapping optimization, uncertainty visualization using chromatic aberration, semantic object clouds, and hybrid 2D/3D GIS. His publications appear in top venues such as IEEE TVCG, ACM Transactions, and SIGGRAPH. NSERC Discovery Grants Canada First Research Excellence Fund (CFREF) NSERC CREATE Mitacs Accelerate and Globalink CFI New Opportunities Grant Cyber Security Research and Development Grant He has supervised numerous PhD, Master’s, and undergraduate students in areas including ocean visualization, tone mapping, network security, VR, and geospatial analytics. He teaches courses in Game Design, Visualization, Computer Animation, and Network Computing, emphasizing project-based and interdisciplinary learning. He leads research in visual analytics for network data (FloVis), ocean science, and mixed reality collaboration. His lab develops interactive systems for data exploration in domains ranging from marine biology to cybersecurity. Future work includes expanding ocean-first climate visualization and enhancing mixed presence collaboration in immersive environments.

Indratmoمشاهده پروفایل

دانشیار

• Information Visualization
• Human-Computer Interaction
• Social Computing
• +۳ مورد دیگر

Dr. Indratmo is an Associate Professor and Chair of the Department of Computer Science at MacEwan University. He holds a PhD from the University of Saskatchewan, an M.Sc. from the University of Manitoba, and a B.Eng. from Petra Christian University. His research focuses on information visualization, human-computer interaction, and social computing, with a particular emphasis on developing tools for analyzing social media data. He has contributed to projects like a visual analytical tool for sentiment analysis in Edmonton's traffic-related social media data and studies on multimedia content effectiveness in communication strategies. Indratmo teaches a range of computer science courses, emphasizing student engagement through transparent pedagogical practices. His work bridges technical innovation with social impact, aiming to enhance communication strategies for organizations through data-driven insights. He has published extensively in journals like Big Data Research and Visual Informatics , and his research spans topics from educational visualization tools to smart mirror applications and geospatial heritage systems. Outside academia, he enjoys outdoor activities in the Canadian Rockies. Notable collaborations include work on stacked bar chart efficacy, web-based course registration models, and exploratory browsing frameworks. His research portfolio demonstrates a commitment to both theoretical advancement and practical applications in computing.

Bon Woo Kooمشاهده پروفایل

استادیار

• Geospatial Urban Analytics
• Walkability and Active Living
• GIS (Geographic Information Systems)
• +۴ مورد دیگر

Dr. Bon Woo Koo is an Assistant Professor at the School of Urban and Regional Planning , Toronto Metropolitan University. His expertise lies in geospatial urban analytics, walkability, and GIS applications, focusing on urban design for public health equity and innovative data science tools. He holds a PhD in City & Regional Planning from Georgia Institute of Technology, a Master’s in Landscape Architecture from Seoul National University, and a Bachelor’s in Interior Design from Kookmin University. Education: PhD in City and Regional Planning, Georgia Institute of Technology Master of Landscape Architecture, Seoul National University Bachelor of Interior Design, Kookmin University Research Interests: Dr. Koo investigates urban environments’ impact on health and well-being, equity in environmental amenities (e.g., tree canopies), and advanced GIS techniques. He develops automated audit methods for walkability and explores spatial modeling for urban sustainability. His work bridges data science with policy, contributing to CDC health surveillance and smart city initiatives. Publications: His research appears in journals like Landscape and Urban Planning , Environment and Behavior , and Health and Place , with a focus on walkability audits, urban tree equity, and audio-based pedestrian sensing. Recent work addresses post-pandemic mental health and broadband equity strategies. Professional Engagement: He has advised the CDC’s technical panel on leveraging big data for health policy, presented at conferences like the Association of Collegiate Schools of Planning, and collaborated with institutions like Universitas Gadjah Mada and the Atlanta Regional Commission.

• Smart Cities
• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• +۱۰ مورد دیگر

Dr. Hung Cao is an Assistant Professor of Computer Science at the University of New Brunswick, where he directs the Analytics Everywhere Lab. His work focuses on interdisciplinary research in Cyber-Physical Systems (CPS), IoT, Edge/Fog/Cloud Computing, and Explainable AI, addressing societal challenges through data-driven solutions. Prior roles include PostDoc Fellow and Data Scientist at the People in Motion Lab, UNB, and Lecturer/Researcher at Vietnam National University. He holds a Ph.D. in Geomatics Engineering (specializing in Data Science) from UNB (2020), an M.Sc. in Computer Science from University College Dublin (2015), and a B.Eng. from Vietnam National University (2011). Research interests span Smart Cities, Embedded AI, TinyML, Federated Learning, and Real-time Systems. He has led projects with Cisco, NB Power, and other industry partners to develop scalable analytics frameworks for IoT applications. Dr. Cao actively contributes to technical communities (IEEE Smart City, Edge Computing, etc.), serving as a reviewer for journals and conferences, and a Topic Editor for Electronics Journal . His innovations include the Analytics Everywhere framework for spatio-temporal data analysis, MACeIP platform for smart cities, and energy-efficient IoT systems for environmental monitoring. Current work emphasizes human-centered AI for healthcare diagnostics and industrial inspection systems.

Elvin Wylyمشاهده پروفایل

استاد

• Urban Geography
• Housing Policy and Finance
• Gentrification and Displacement
• +۷ مورد دیگر

Elvin Wyly is a Professor in the Department of Geography within the Faculty of Arts at the University of British Columbia. His research focuses on the relations between market processes and state policy in producing and reinforcing urban social inequalities, blending critical social theory, legal and policy analysis, and multivariate quantitative methods. Wyly earned his PhD (1995) and MA from the University of Minnesota, Minneapolis, and his BSc from The Pennsylvania State University. His academic journey reflects a deep engagement with geographical thought and methodology. His research interests span urban geography, housing policy and finance, gentrification and displacement, urban inequality, spatial analysis, critical social theory, digital geographies, GIS, and race, class, and gender studies. Wyly's approach combines critical theory with empirical analysis to examine how market forces and public policy interact to create spatial inequalities in urban environments. Analysis of Wyly's recent publications (2019-2024) reveals consistent engagement with themes of urban transformation, housing finance, and spatial inequality. His work increasingly addresses the digital turn in urban studies, examining smart cities, datafication of urban space, and the evolving nature of gentrification in the 21st century. There's a clear trajectory from studying traditional urban processes toward examining how digital technologies reshape urban inequalities and governance. Wyly's research demonstrates significant contributions to understanding the financialization of urban space, particularly through his work on subprime mortgage markets, housing discrimination, and the racial dimensions of urban development. His publications in leading geography and urban studies journals establish him as a significant voice in critical urban scholarship. His teaching appears to focus on urban geography, with courses covering topics related to cities, economies, transnational flows, digital geographies, and issues of gender, race, and class. His research website serves as a resource for students and colleagues interested in advanced urban geographical analysis.

Peter Johnsonمشاهده پروفایل

دانشیار

• Geospatial Technology
• Open Data
• The Geoweb
• +۷ مورد دیگر

Peter Johnson is an Associate Professor at the University of Waterloo, affiliated with the Department of Geography and Environmental Management and the Waterloo Civic Map Lab. His research focuses on geospatial technology intersections with open data, the Geoweb, mobile devices, and crowdsourcing for governance and planning. His work evaluates how geospatial tools reshape citizen-government-corporate collaboration, with projects on open data value assessment civic hackathons and smart cities Geoweb platform development climate change adaptation in tourism agent-based modeling for tourism vulnerability Recent publications highlight open data governance models drone imagery repositories disaster response crowdsourcing smart city participatory tools trends in 2019–2016. Awards include: Fellow at Balsillie School of International Affairs He supervises graduate students in topics like open data smart cities technology adoption , with funded opportunities via SSHRC Geothink grants.

Neil D. B. Bruceمشاهده پروفایل

دانشیار

• Computer Vision
• Deep Learning
• Machine Learning
• +۶ مورد دیگر

Neil D. B. Bruce is an Associate Professor in the School of Computer Science at the University of Guelph, Canada. His research focuses on computer vision, deep learning, and computational neuroscience, with a strong emphasis on visual saliency, neural networks, and semantic segmentation. He holds a BSc in Computer Science & Pure Math from the University of Guelph, an MASc in Systems Design Engineering from the University of Waterloo, and a PhD in Computer Science from York University. Prior to Guelph, he held academic positions at Ryerson University and the University of Manitoba. Dr. Bruce leads the Vision Lab, exploring topics like attention mechanisms, image processing, and AI-driven solutions for visual computing challenges. His work bridges theoretical models with practical applications, including real-world gaze behavior analysis and exposure blending techniques. Key contributions include saliency prediction frameworks (e.g., AIM model) and semantic segmentation networks (EML-Net, Iterative Gating Networks). His research also intersects with interdisciplinary fields such as neuroscience and healthcare informatics, as seen in recent studies on avian influenza outbreak detection using social media data. Teaching highlights include courses in neural networks, data science, and machine learning. He actively supervises graduate and undergraduate research projects, emphasizing computational methods and AI innovation.

Frank Maurerمشاهده پروفایل

استاد

• Extended Reality (XR)
• Immersive Analytics
• Human-Computer Interaction (HCI)
• +۷ مورد دیگر

Dr. Frank Maurer is a Professor in the Department of Computer Science at the University of Calgary, specializing in Extended Reality (XR) and Immersive Analytics. His work focuses on serious applications of XR in healthcare, energy, and engineering sectors. He leads the SEER Group, advancing cross-reality prototyping tools and digital twin technologies. Maurer holds a Diplom and a Dr. rer. nat. in Computer Science from the University of Kaiserslautern (1989 and 1993). Research areas include XR prototyping , immersive analytics , UX design for 5G-XR , and healthcare applications like pre-surgical epilepsy evaluations. He collaborates on strategic initiatives such as Brain/Mental Health and Energy Innovations. Recent work explores hydrogen pipeline monitoring, seismic data analysis (Siera tool), and generative AI integration in XR. Publications emphasize technical challenges in 3D medical imaging, reservoir engineering workflows, and cross-reality application testing. Maurer teaches Research Methods in Computer Science and has pioneered tools like NiwViw (immersive analytics authoring) and SpyREST (API documentation). His lab develops solutions for multi-surface environments and emergency response systems.

Donghoon Leeمشاهده پروفایل

استادیار

• Hydroclimatology
• Water Resources Engineering
• Climate Risk Assessment
• +۵ مورد دیگر

Dr. Donghoon Lee is an Assistant Professor and Tier-2 Canada Research Chair in the Department of Civil Engineering at the University of Manitoba's Price Faculty of Engineering. His research focuses on the intersection of hydroclimatology, data science, and societal impacts, particularly addressing challenges related to climate variability and its effects on water resources, agriculture, and disaster management systems across multiple sectors. Dr. Lee's educational background includes: Ph.D. in Civil and Environmental Engineering from the University of Wisconsin-Madison (2018) M.Sc. in Civil Engineering from Ajou University (2012) B.Sc. in Civil System Engineering from Ajou University (2010) His research expertise spans hydroclimate forecasting, water resources systems, disaster risk assessment, and agricultural drought and food security. Dr. Lee applies geospatial data science, water system engineering, statistical applications, remote sensing, and numerical modeling to quantify interactions between climate, environmental, and societal factors. His work enhances understanding of both short- and long-term climate risks and develops practical solutions for climate-related challenges facing human societies. Recent publications demonstrate a strong focus on agricultural data systems, climate adaptation policy, and food security analytics, with particular attention to Africa and North American regions. His research integrates satellite data, climate modeling, and socioeconomic analysis to develop practical decision-support tools for sustainable resource management under changing climate conditions. Dr. Lee has received significant recognition through his appointment as a Tier-2 Canada Research Chair, which supports his innovative work at the hydroclimate-society interface. Dr. Lee actively mentors graduate students and is currently seeking applicants at all levels (Postdoc, PhD, MS, and Undergraduate students) to join his research group. His Hydroclimate2X Lab provides opportunities for students to engage in cutting-edge research that combines computational methods with real-world climate challenges. The Hydroclimate2X Lab applies computational and statistical methods to quantify the impacts of climate variability on society. The lab's work includes forecasting extreme hydroclimate events, assessing water-energy risks, and integrating climate data with food and environmental systems to support sustainable decision-making across multiple sectors including agriculture, disaster management, and urban planning.

• Water Security
• Climate Change
• Public Health
• +۱۱ مورد دیگر

Corinne Wallace is an Adjunct Assistant Professor in the Department of Civil Engineering at McMaster University , with research expertise at the intersection of water security, climate change, public health, and gender equity. Her work spans both technical engineering analysis and community-engaged studies, particularly focusing on marginalized populations in Canada, East Africa, and South America. Dr. Wallace's research interests include: Water-Health Nexus Climate Change Impacts on Disease Gender Equity in Water Access Indigenous Water Governance Mosquito-Borne Disease Modeling Rainwater Harvesting Systems Her publication trends show increasing focus on climate-health interactions (2025), gender-water linkages (2024), and machine learning applications for water quality analysis (2025). She employs mixed-methods approaches and works closely with First Nations communities and international development organizations. Dr. Wallace utilizes art-science communication strategies like the Virtual Water Gallery to transform water and climate knowledge dissemination. Her recent work explores EDI (Equity, Diversity, Inclusion) implementation in large research networks and conceptual frameworks for climate-water equity.

• Environmental Systems Analysis
• Water-Food-Energy Nexus
• Climate Change Impact Assessment
• +۳ مورد دیگر

Gordon Huang is an Adjunct Professor in the Civil Engineering department at McMaster University , specializing in environmental systems analysis and sustainable resource management. His research focuses on quantitative methods for addressing uncertainties in climate change, water-food-energy nexus planning, and contaminant remediation. Primary Affiliation : Civil Engineering, McMaster University His work integrates advanced computational models like Bayesian neural networks, factorial optimization, and copula-based downscaling to analyze complex environmental interactions. Recent projects examine CO2 emission pathways, microplastic impacts, and climate-driven drought risks. Key methodologies include stochastic programming , ecological network analysis , and machine learning for predictive modeling. Publications span topics from membrane technology for water treatment to large-scale hydropower socio-economic effects. Email : huangg31@mcmaster.ca