جست‌وجوی استاد و پژوهشگر

• Applied Electromagnetics
• Wireless Communications
• Antenna Design
• +۵ مورد دیگر

Dr. Xingqi Zhang is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Alberta, Canada. He holds adjunct professorships at University College Dublin (Ireland) and has held visiting positions at the University of Toronto and Queen Mary University of London. His research focuses on applied electromagnetics and wireless communications, emphasizing high-performance computational models for 5G/6G/THz systems, intelligent transportation, underwater communications, IoT, and biomedical applications. Education: B.Sc. (Honors) from Harbin Institute of Technology, M.A.Sc. and Ph.D. from the University of Toronto. Research interests include physics-based wireless channel modeling, radio wave propagation in diverse environments, multiphysics modeling for electromagnetic and biomedical systems, reconfigurable intelligent surfaces (RIS), antenna design, and machine learning applications in communications. He leads a Horizon 2020-funded project on future wireless networks and collaborates with global academia and industry. Awards: ACES Early Career Award, RIA Charlemont Award, and multiple best paper awards. He serves as an associate editor for IEEE journals and technical committee roles in flagship conferences. Teaching: Currently teaches ECE 209A/B (Fundamentals of Electrical Engineering) in 2025 terms. His group oversees projects in channel modeling, integrated sensing/communication, and machine learning-based parametric modeling.

• Early Literacy Development
• Digital Literacy
• Drama Education
• +۵ مورد دیگر

L Laidlaw is a Professor in the Faculty of Education's Elementary Education department at the University of Alberta, specializing in early literacy development, digital literacy, and curriculum theory. They hold a Ph.D. from York University (2001) with a dissertation on writing and human experience, and have extensive teaching experience in both undergraduate and graduate programs. Research focuses on: Educational technology's impact on young learners Ecological approaches to curriculum design Adoption studies in educational settings Drama-based literacy instruction Recent publications emphasize pandemic-era educational adaptations, digital divides, and teacher professional development in technology integration. Their work has been featured in media discussions about child tech usage and pandemic pedagogy innovations. Teaching contributions include courses like Early Literacy Development (taught 17 times across 2001-2015) and Literacy Development through Drama. Courses often incorporate blended or online modalities.

• Educational Measurement
• Psychological Testing
• Automatic Item Generation
• +۵ مورد دیگر

Dr. Mark J. Gierl is a Professor of Educational Psychology at the University of Alberta's Faculty of Education, holding the Tier 1 Canada Research Chair in Educational Measurement. His research focuses on automatic item generation (AIG), assessment engineering, and psychometric methods for evaluating test translation. He authored the 2021 book Advanced Methods in Automatic Item Generation , co-authored with Hollis Lai and Vasily Tanygin. His work integrates cognitive modeling, automated test assembly, and multilingual automated scoring systems. Education: PhD in Educational Psychology from the University of Illinois Urbana-Champaign (College of Education). Research interests include large language model applications in assessment, AIG for medical and science education, and cross-linguistic scoring frameworks. Key contributions include developing AIG systems for secure testing and validation frameworks for generated items across disciplines. Research highlights: Over 50 peer-reviewed articles on topics like neural semantic analysis for video assessment, automated bone loss measurement in dentistry, and LLM-driven reading comprehension item generation. His work emphasizes ethical AI integration in educational measurement, test security, and multilingual assessment equity. Awards: Holder of the prestigious Tier 1 Canada Research Chair since 2021. His work bridges advanced computational methods with foundational psychometric principles to revolutionize modern testing practices.

Marina Gavrilovaمشاهده پروفایل

استاد

• Machine Learning
• Biometric Security
• Image Processing
• +۴ مورد دیگر

Marina Gavrilova is a Professor and Associate Head (Research and Strategic Planning) in the Department of Computer Science at the University of Calgary. Her research focuses on biometric security, machine learning, pattern recognition, and interdisciplinary computational sciences. She is a co-founder of the Biometric Technologies Laboratory and the SPARCS laboratory, and serves as Founding Editor-in-Chief of Springer's Transactions on Computational Sciences. Her work spans ethical AI frameworks, multimodal biometric systems, and healthcare applications. Dr. Gavrilova holds Senior ACM and IEEE membership statuses and has received prestigious awards including the Canada Foundation for Innovation Grant and the University of Calgary’s U Make a Difference Award. Her editorial roles include positions with IEEE Transactions on Computational Social Sciences, IEEE Access, and multiple biometrics journals. Her research explores emotion-aware de-identification systems, trustworthy AI, and bias mitigation in healthcare machine learning. Key contributions include advancements in generative adversarial networks, fusion strategies for multimodal data, and computational methods for medical imaging. She advocates for ethical AI practices and interdisciplinary collaboration to address societal challenges in security and privacy. Lab affiliations include the Biometric Technologies Lab and SPARCS Lab, which focus on computational security and interdisciplinary research. Ongoing work emphasizes social behavioral biometrics, autonomous systems, and AI-driven healthcare solutions.

Usman Alimمشاهده پروفایل

دانشیار

• Computer Graphics
• Visualization Techniques
• Volume Rendering
• +۶ مورد دیگر

Usman Alim is an Associate Professor in the Department of Computer Science at the University of Calgary, and Director of the Data Science Program. He holds a dual Bachelor's in Mathematics and Physics from the University of Rochester (2001), an M.Sc. in Computer Science from Rochester Institute of Technology (2007), and a Ph.D. in Computer Science from Simon Fraser University (2012). His research focuses on global illumination, physically-based modeling, and signal processing applications in computer graphics and visualization. He is particularly noted for innovations in volume visualization, VR interfaces, and haptic systems. Key research areas include: Interactive visualization systems for multivariate data Uncertainty visualization in geological and medical datasets Efficient rendering techniques for large-scale datasets Low-code frameworks for data workflow automation Notable achievements include winning the 2019 IEEE SciVis Contest's Best Report Cover and multiple awards in Compute Canada's Visualize This contest. His work bridges theoretical foundations with practical applications in fields like environmental science, healthcare, and urban analytics. Current initiatives include advancing haptic interaction design, developing cloud-deployable medical imaging pipelines, and exploring AI-driven solutions for oil sands analysis. He teaches graduate courses like DATA 601 (Data Visualization) and special topics in computer science, contributing to both academic research and applied data science education.

Tyler Bonnellمشاهده پروفایل

استادیار

• Data Science
• ML/AI
• Agent-based models
• +۳ مورد دیگر

Tyler Bonnell is an Assistant Professor in the Department of Computer Science at the University of Calgary, Faculty of Science. His research focuses on applying data science, machine learning, and agent-based modeling to study behavioral ecology and primatology, particularly the evolution and development of collective behavior in social animals. He investigates how social animals respond to environmental changes, such as landscape and climate shifts, using geospatial and statistical tools. His work emphasizes interdisciplinary approaches, bridging computer science and ecology to address questions about group movement, social networks, and disease dynamics. Research interests include agent-based models for wildlife populations, social network analysis, and the impact of environmental factors on animal behavior. He has contributed to studies on vervet monkeys, beluga whales, and other species, exploring topics like maternal social position effects, disease transmission, and spatial mixing. His lab develops innovative tools to analyze complex ecological systems and advocate for interdisciplinary collaboration. Publications highlight his focus on statistical methodologies, network analysis, and computational models to understand animal behavior and ecological interactions. While no specific grants or awards are mentioned, his work reflects a commitment to advancing computational methods in ecological research.

Katie Ovensمشاهده پروفایل

استادیار

• Biomedical Data Analysis
• Medical Image Analysis
• Computer Vision
• +۴ مورد دیگر

Katie Ovens is an Assistant Professor in the Department of Computer Science at the University of Calgary's Faculty of Science, and currently serves as Interim Assistant Head for Communications and Outreach. She holds a PhD (2020), MSc (2016), and BSc (2013) in Computer Science and Health Science from the University of Saskatchewan and University of Calgary. Her research focuses on biomedical data analysis, medical image analysis, computer vision, bioinformatics, and comparative transcriptomics, with emphasis on applications in healthcare and evolutionary biology. Dr. Ovens' work bridges computational methods with biological systems, including tumor segmentation algorithms, gene regulatory network analysis, and machine learning validation frameworks. Her contributions span reproducibility assessment in medical AI, generative models for agricultural imaging, and evolutionary comparisons of cartilage maturation processes. She actively contributes to open-source tools like Juxtapose for co-expression network analysis and Silver for dataset validation. Awards and grants are not explicitly listed in the provided information. She teaches courses in natural language processing, scalable data systems, and special topics in computer science. Her research outputs emphasize interdisciplinary solutions to complex biomedical and ecological challenges, leveraging both supervised and unsupervised machine learning paradigms.

Richard Zhaoمشاهده پروفایل

استادیار

• Serious Games
• Artificial Intelligence
• Immersive Technologies
• +۳ مورد دیگر

Richard Zhao is an Assistant Professor in the Department of Computer Science at the University of Calgary. He leads the Serious Games Research Group , focusing on developing immersive technologies (e.g., VR, eye-tracking) and AI algorithms to enhance training, learning, and education through serious games. His work emphasizes adaptive experiences and automated content generation for educational applications. Research Interests: Serious Games for Education Artificial Intelligence in Virtual Environments Immersive Technologies (VR/AR) Collaborative Systems Procedural Content Generation Recent Work Trends: Recent publications highlight advancements in AI-driven poetry generation, VR interaction techniques, and collaborative problem-solving models. His work often bridges computational methods with human-centric design, particularly in manufacturing simulations and educational VR systems. Labs/Teams: He oversees the Serious Games Research Group, hosting projects like the Immersive Virtual School (IVS) and GEARS: Gearing up for Education . These initiatives integrate AI and VR to address real-world training challenges in engineering and education. Teaching: Teaches graduate and undergraduate courses on Game AI, Game Development, and introductory computer science. Courses include CPSC 686 (Research in Game AI) and CPSC 586 (Game AI) .

Mindi Summersمشاهده پروفایل

استاد آموزشی

• Biology Education
• Scholarship of Teaching & Learning
• Biodiversity
• +۴ مورد دیگر

Mindi Summers is an Associate Dean (Undergraduate Programs & Student Affairs) in the Faculty of Science and a Teaching Professor in Biological Sciences at the University of Calgary. She holds a B.S. from Stanford University (2009), an M.S. (2011), and a Ph.D. (2014) from Scripps Institute of Oceanography, University of California, San Diego. Her research focuses on biodiversity, urban pollinator conservation, and innovative teaching practices. She pioneered the University of Calgary’s designation as a Bee Campus (2020), collaborating with local communities to study and promote pollinator habitats. Key research areas include biology education, plant-pollinator interactions, and sustainable design. Dr. Summers has received multiple awards, including the Killam Undergraduate Mentorship Award (2022), Internationalization Early Career Award (2022), and several teaching excellence recognitions (2020–2021). Her work emphasizes experiential learning, community partnerships, and undergraduate research involvement. Publications span ecology, education, and taxonomy, with recent contributions on biodiversity conservation, teaching methodologies, and urban ecosystems. She collaborates widely, including on digital natural history collections and open educational resources.

• Horticultural Education
• Educational Technology
• Online Learning Strategies
• +۳ مورد دیگر

Jeff Morton is a Senior Instructor in the Department of Plant, Food, and Environmental Sciences at Dalhousie University’s Faculty of Agriculture. He teaches courses such as Landscape Horticulture I, Landscape Installation, Advanced Turfgrass Installation and Design, and Landscape Maintenance across Dalhousie and FAFU campuses. His scholarly activities focus on innovating horticultural education through mobile-based tools (e.g., GPS learning apps, flashcards) and adapting curricula for online delivery. He also studies cross-cultural teaching strategies for Western landscape horticulture in China. Professionally, he contributes to service roles including the FAFU 3+1 Coordinating Committee, Landscape Architecture and Horticulture Working Group, and Campus Sustainability Committee. His work bridges traditional horticultural practices with modern pedagogical methods, emphasizing accessibility and global relevance.

Steve Shirtliffeمشاهده پروفایل

استاد

• Field crop agronomy
• Crop Phenotyping
• Crop Imaging
• +۳ مورد دیگر

Steve Shirtliffe is a Professor in the Department of Plant Sciences at the University of Saskatchewan’s College of Agriculture and Bioresources. His research focuses on field crop agronomy, crop phenotyping, precision agriculture, and weed science. He holds a Ph.D., M.Sc., and B.Sc. from the University of Manitoba. Dr. Shirtliffe’s work integrates remote sensing, machine learning, and field experimentation to improve crop yields and agricultural sustainability. He has pioneered applications of UAV-based imaging for crop analysis, including canola yield prediction and weed management. His research emphasizes precision agriculture, crop lodging prediction, and mechanical weed control systems. He has received prominent awards including the ASA Professor of the Year (2008) and University of Saskatchewan’s Provost’s Outstanding Teaching Award (2011-12). Courses taught include PLSC 375 (Current Topics in Agronomy), PLSC 401 (Sustainable Crop Production), and PLSC 898 (Plant Population Biology). Recent research highlights include: Development of AI-driven field boundary delineation systems Integration of SAR and optical data for crop phenology mapping Optimized deep learning models for edge device yield prediction Long-term weed dynamics studies in organic/conventional systems His work addresses critical challenges in Prairie agriculture through innovative technology applications and systems-level crop management strategies.

Jutta Gutberletمشاهده پروفایل

استاد

• Waste Governance
• Climate Justice
• International Community-Based Development
• +۴ مورد دیگر

Jutta Gutberlet is a Professor in the Department of Geography at the University of Victoria and Director of the Community-Based Research Laboratory (CBRL). Her work focuses on International community-based development Waste governance and climate justice Qualitative research methodologies She has conducted extensive research across Brazil, Canada, and multiple Global South countries. Her research spans urban sustainability , community-led waste management , and grassroots innovations , particularly examining how informal waste pickers contribute to climate mitigation and social justice. She emphasizes Participatory action research Knowledge democracy Co-creation with marginalized communities Her recent publications analyze waste governance frameworks and youth-led sustainability initiatives. Key teaching areas include Geographies of Waste Global Development Studies Research Methods in Human Geography She collaborates with institutions in Brazil, Canada, and East Africa on projects related to the UN Sustainable Development Goals. Major initiatives include UNICATA : A university for waste pickers Youth Zero Waste : Grassroots engagement in Canada/Brazil Mapping Waste Governance : Global comparative analysis

Simon Lacoste-Julienمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Artificial Intelligence
• +۶ مورد دیگر

Simon Lacoste-Julien is a Full Professor at the Université de Montréal's Department of Computer Science and Operations Research, part of the Faculty of Arts and Sciences. He is affiliated with the Centre de recherches mathématiques (CRM) and Mila – Quebec AI Institute. His research focuses on machine learning, deep learning, optimization, and theoretical foundations of AI. Notable contributions include advancements in constrained optimization algorithms, game-theoretic learning, and sparsity-aware models. Education: Doctorate in Machine Learning (PhD), specialized in optimization and graphical models. Research Interests: His work bridges theory and practice, exploring topics such as: - Optimization for Machine Learning : Developing efficient algorithms for large-scale problems. - Game-Theoretic Approaches : Applying game theory to prediction and mechanism design. - Disentangled Representations : Learning structured latent variable models for better interpretability. - Adaptive Gradient Methods : Improving convergence and stability of training processes. Grants & Projects: Lead researcher on multiple grants including: - Model-based Machine Learning with Guarantees (2025-2031, CRSNG) - Robust and Efficient Structured Prediction (2017-2025) - Projects on few-shot learning and algorithmic fairness funded by MITACS and IVADO. Labs & Teams: Active member of Mila, leading research in optimization and theoretical aspects of deep learning. Collaborates widely with industry (e.g., Samsung Electronics) and contributes to open-source tools like the Cooper library for constrained optimization.

• Child Development
• Educational Psychology
• Symbolic Play
• +۵ مورد دیگر

Sarah Landry is an Associate Professor at the Department of Psychopedagogy and Andragogy in Université de Montréal's Faculty of Education. Her research focuses on children's social development, symbolic play in early childhood education, and teacher roles in fostering social skills. She holds a PhD (2014, Université Laval) and Master's (2006, Université de Montréal) in education-related fields. Research Interests : She investigates symbolic play's role in social problem-solving, prosocial behavior, and classroom social dynamics. Her work emphasizes how educators can support child development through play and socio-emotional interventions. Key themes include early childhood education contexts, teacher-student interactions, and inclusion strategies for at-risk students. Grants & Projects : 2021-2026: Leading projects on symbolic play and socialization funded by SSHRC and FQRSC. 2020-2026: Investigating play maturity's link to social acceptance in preschoolers. 2019-2023: Studying symbolic play's impact on social thinking in 5-year-olds. Teaching : Teaches courses like 'L'environnement éducatif à la maternelle' and 'Intervention au préscolaire'. Supervises graduate students in early childhood education and social development. Labs/Teams : Collaborates with research networks like GRIMP (Groupe de recherche et d’intervention dans le monde du préscolaire) focusing on educational dialogue and play-based learning.

Bronwen Wheatleyمشاهده پروفایل

دانشیار

• Chemistry Education
• Organic Chemistry
• Academic Integrity
• +۳ مورد دیگر

Dr. Bronwen Wheatley is an Associate Professor (Teaching) in the Department of Chemistry at the University of Calgary's Faculty of Science, and also serves as an Instructor in the Natural Sciences Program. She holds a B.S. (2002) and Ph.D. (2009) in Chemistry from the University of Calgary. Her research focuses on chemistry education, academic integrity, and organic synthesis methodologies. She has contributed to studies on teaching strategies, contract cheating prevention, and reaction mechanisms involving palladium-catalyzed reactions. Her work bridges traditional organic chemistry research with innovative pedagogical approaches. Education: Bachelor of Science in Chemistry, University of Calgary (2002) Doctor of Philosophy in Chemistry, University of Calgary (2009) Research Interests: Dr. Wheatley explores the intersection of chemistry education and practical research. She investigates teaching methodologies to enhance student engagement, particularly in scientific writing and problem-solving. Her work on academic integrity addresses systemic challenges like contract cheating. In organic chemistry, her earlier studies focused on asymmetric Heck reactions, palladium migration pathways, and catalyst design using BINAP derivatives. Articles Overview: Recent publications highlight her shift toward educational topics, including academic integrity and pandemic-era teaching adaptations. Earlier work (2004–2009) delves into organic synthesis mechanisms, spectroscopic analysis, and novel ligand development. This dual focus reflects her roles as both researcher and educator. Awards: No awards explicitly listed in available texts. Advising/Grants: No student advisees or grant details provided in texts. Her roles emphasize teaching and curriculum development. Labs/Teams: No specific lab or team affiliations mentioned beyond her departmental and programmatic roles.