جست‌وجوی استاد و پژوهشگر

• Media Education
• Digital Literacy
• Cultural Studies
• +۳ مورد دیگر

Michael Hoechsmann is a Professor in the Faculty of Education at Lakehead University, serving in dual capacities for Graduate Studies and Research in Education and Undergraduate Education Programs at the Orillia campus. His work centers on critical media literacy, digital citizenship, and cultural studies within educational contexts, with a strong emphasis on democratic engagement and social justice. Education PhD in Education from the Ontario Institute for Studies in Education (OISE) at the University of Toronto (1998) Dr. Hoechsmann's research traverses Media Education , Digital Literacy , and Cultural Studies , with particular expertise in critical media literacy's role in democracy. His scholarship critically examines power dynamics in digital spaces, global media education frameworks, and intersections with social studies curriculum. He maintains active international collaborations, especially across Latin America, as reflected in multilingual publications addressing regional contexts. Analysis of his 2022-2024 publications reveals intense focus on contemporary crises—particularly conspiracy theories (anti-vaxxer movements, Capitol Riots), disinformation ecosystems, and digital citizenship under threat. His work consistently bridges theoretical critique with transformative pedagogical practice, emphasizing decolonization and radical democracy while addressing emerging challenges in online radicalization and algorithmic manipulation. Dr. Hoechsmann has contributed to award-winning publications including UNESCO-recognized educational volumes, though specific individual awards aren't documented. His recent co-edited handbook The Handbook of Media Education Research (2021) represents significant field contribution. Professional engagement includes participation in UNESCO initiatives on global citizenship and climate communication (October 2023), plus contributions to award-winning educational texts (October 2022). While graduate student advisement details aren't public, his editorial leadership in Transformative Practice in Critical Media Literacy (March 2024) demonstrates active mentorship in the field.

Eunice Eunhee Jangمشاهده پروفایل

استاد

• Language Assessment
• Educational Measurement
• Program Evaluation
• +۸ مورد دیگر

Dr. Eunice Eunhee Jang is a Professor in the Department of Applied Psychology and Human Development at the Ontario Institute for Studies in Education (OISE), University of Toronto. Her research focuses on synergistic learner modeling, dynamic assessment systems, and the intersection of language testing with educational measurement. PhD with specializations in language testing, educational measurement, and program evaluation Develops interactive digital assessment interfaces for struggling readers Author of "Focus on Assessment" (2014) and co-author of OECD Reviews on Evaluation and Assessment in Education Research Interests Dr. Jang's work explores prismatic assessment analytics to understand learner potential and predict learning pathways. She integrates natural language processing and machine learning to create diagnostic feedback systems that support cognitive, metacognitive, and affective growth in technology-rich classrooms. Scientific Awards Jacqueline Ross TOEFL Dissertation Award Caroline Clapham IELTS Master’s Award Tatsuoka Measurement Award Professional Contributions She has served on major advisory boards including EQAO provincial assessments and TOEFL Committees of Examiners. Currently, she is an elected board member for the International Language Testing Association and contributes to the Broader Measures of Success Advisory Committee for People for Education.

Michael Karasمشاهده پروفایل

استادیار

• Language teacher self-efficacy
• Language teacher education (LTE)
• Reflective practice
• +۶ مورد دیگر

Michael Karas is an Assistant Professor of Applied Linguistics at Brock University's Faculty of Social Sciences. He holds a PhD from the University of Western Ontario (2019). His research focuses on language teacher self-efficacy, reflective practice, and learner silence, with notable contributions to meta-analyses in language education. He teaches courses such as Second Language Acquisition (LING 3Q91) and Pedagogical Grammar (LING 5P02). Karas serves as Book Review Editor for the TESL Canada Journal and TESL Ontario Academic Coordinator, demonstrating active engagement in academic service. Education : PhD in Applied Linguistics, University of Western Ontario (2019) Research Specialization : Explores intersections between teacher proficiency, classroom dynamics, and innovative methodologies like duoethnography. His work bridges theoretical research with practical applications in teacher education and language policy. Service Contributions : Editorial roles at TESL Canada Journal (2017–present) Coordinator for TESOL Doctoral Forum (2017–2018)

• Language Acquisition
• Sociolinguistics
• Social Cognition
• +۳ مورد دیگر

Drew Weatherhead is an Assistant Professor (part-time) in the Department of Psychology and Neuroscience at Dalhousie University, affiliated with the Faculty of Science. His research focuses on early language acquisition, sociolinguistic development, and how infants and children process accented speech and speaker characteristics such as race. Education : COGS-P-BCH, Queen’s University PhD, University of Waterloo Postdoctoral Fellow (PDF), University of British Columbia Research Interests : Dr. Weatherhead investigates mechanisms of language acquisition in infants and young children, using methods like eye-tracking and fNIRS. His lab explores how social factors (e.g., race, accent) influence linguistic perception and learning. Key areas include sociolinguistic variation, race-based expectations in word learning, and bilingualism. Publications : His work emphasizes the intersection of social cognition and language development, with recent studies on accent processing, speaker race, and contextual influences on word generalization. Outputs span journals like Developmental Science , Cognition , and Journal of Experimental Psychology . Advising & Labs : Dr. Weatherhead is currently not accepting new Clinical PhD, Honours, or Directed Research students (2026-2027). He leads the Cognition and Language Learning Research Group, focusing on experimental methods to decode early language mechanisms.

Keunhyun Parkمشاهده پروفایل

استادیار

• Urban Forestry
• Environmental Justice
• Human Behavior in Public Space
• +۴ مورد دیگر

Keunhyun (Keun) Park is an Assistant Professor of Urban Forestry at the University of British Columbia (UBC), affiliated with the Department of Forest Resources Management . He also holds an Adjunct Professor position at Utah State University in the Department of Landscape Architecture and Environmental Planning. Education: BSc and MSc in Landscape Architecture from Seoul National University; PhD in Urban Planning and Design from the University of Utah Research Lab: Faculty lead of the Urban Nature Design Research Lab ( under_lab ) His research focuses on designing healthy, just, and resilient cities through urban nature , with particular emphasis on: Environmental justice and equitable access to urban green spaces Human behavior in public spaces using drone/sensor/VR technology Smart growth urban design impacts on public health and ecological systems Recent publications demonstrate expertise in GIS applications , pedestrian behavior analysis , and urban planning across 20+ studies from 2013-2025. Collaborations include the Vancouver Park Board , Metro Vancouver , and Wasatch Front Regional Council .

Ying Zhuمشاهده پروفایل

دانشیار

• Digital Marketing
• Consumer Behavior
• Marketing Analytics
• +۵ مورد دیگر

Dr. Ying Zhu is an Associate Professor in the Department of Marketing and Consumer Studies at the Lang School of Business and Economics, University of Guelph. She holds a Ph.D. in Marketing from Texas A&M University, alongside master’s degrees in Computer Science (Minzu University, China) and Management (University of Lethbridge, Canada). Previously, she served as an Associate Professor at UBC Okanagan. Her research focuses on digital marketing, consumer behavior, marketing analytics, and the impact of technology (e.g., AI, Metaverse) on consumer decisions. She has published 19 peer-reviewed articles since 2017, many in top-tier journals like American Psychologist and European Journal of Marketing . Her work explores themes such as brand extension strategies, digital advertising effectiveness, and sustainability initiatives. Dr. Zhu has received significant funding through SSHRC grants and has been recognized for her teaching excellence, including the Golden Apple Award. She actively advises graduate students and volunteers with community organizations like the Kelowna Museums Society. Her research on smartphone-induced consumer behavior has garnered media attention in outlets like Time Magazine , Global News , and Science Daily .

Martin Müllerمشاهده پروفایل

استاد

• Artificial Intelligence
• Game Theory
• Monte Carlo Tree Search
• +۷ مورد دیگر

Martin Müller is a Professor in the Department of Computing Science at the University of Alberta, where he conducts research in artificial intelligence, game theory, and heuristic search. He holds the Canada CIFAR AI Chair at Amii and is an Amii Fellow, underscoring his leadership in AI. His research group focuses on Monte Carlo tree search, reinforcement learning, combinatorial game theory, and automated planning, with applications in games such as Go, Hex, and NoGo. His research interests span Monte Carlo and exact methods in game-tree search , exploration in heuristic search and machine learning , and algorithms in combinatorial game theory . He has developed open-source software like MCGS (Minimax-based Combinatorial Game Solver) and contributes to game-playing systems such as Fuego for Go. His work bridges theoretical foundations with practical implementations in AI-driven game solvers. Recent publications show a strong trend in reinforcement learning , particularly in deep Q-learning, policy gradient methods, and anomaly detection in deep RL. His team also explores combinatorial game solving , sparse reward environments , and imperfect information games . The research integrates machine learning with classical AI techniques, emphasizing empirical validation and algorithmic innovation. Canada CIFAR AI Chair Amii Fellow Best student paper award at IEEE Conference on Games 2024 Best paper award at IEEE COG 2021 Outstanding paper award at AAAI-18 Faculty of Science Dissertation Award (2016) Dissertation Award from the Canadian Artificial Intelligence Association (2013) Müller has supervised numerous PhD and MSc students, including Hongming Zhang, Henry Du, and Timo Bertram, many of whose theses focus on game AI, reinforcement learning, and combinatorial optimization. He is funded by NSERC, Mitacs, and Compute Canada. His group collaborates on projects involving neural networks for game playing, SAT solving, and planning algorithms. He is currently on sabbatical but remains academically active, teaching a graduate course on combinatorial games in 2025 and hosting visiting researchers. His lab is involved in the development of MCGS, a solver for sum games, and contributes to open-source AI software. The team publishes regularly in top venues such as NeurIPS, ICML, AAAI, and IEEE Transactions on Games. Future work includes advancing combinatorial game solvers, improving deep RL robustness, and exploring generalization in game representations.

Marjan Alaviمشاهده پروفایل

استادیار

• Fault Diagnosis
• Prognosis
• Power Electronics
• +۳ مورد دیگر

Dr. Marjan Alavi is an Assistant Professor at McMaster University's W Booth School of Engineering Practice and Technology, affiliated with the Mechanical Engineering department as an Associate Member. She holds a Professional Engineer (P.Eng.) license in Ontario and has over 15 years of academic and industrial experience in electrical engineering. Her research focuses on model-based and data-driven approaches for fault diagnosis, prognosis, and fault-tolerant control in hybrid systems, with applications in power electronics, energy systems, and smart infrastructure. Education: B.Sc. (2004) from K.N. Toosi University of Technology, M.Sc. (2007) from Sharif University of Technology, Ph.D. (2014) from Nanyang Technological University (Singapore), and a Postdoc (2015) at the University of Toronto's Energy Systems Group. Teaching: Instructs courses on Real-Time Systems (SEP 6ES3, SFWRTECH 4ES3), Smart Cities and Communities (SMRTTECH 4SC3), integrating real-world engineering challenges with theoretical frameworks. She emphasizes hands-on learning through remote labs and experiential projects. Professional Contributions: Serves as IEEE Toronto Section Executive Member, Technical Reviewer for IEEE Transactions on Industrial Electronics, and Vice Chair of IEEE Industrial Applications Society (2015). Founded Intelligent Diagnosis Corporations, a Canadian startup focused on research and innovation in diagnostics technologies. Key Projects: Developed fault diagnosis strategies for electro-hydraulic actuators, vehicle-mounted infrastructure monitoring systems, and remote laboratory platforms for emergency traffic control. Research spans predictive maintenance, smart city technologies, and railway systems certification benefits. Awards: Recipient of the Singapore International Graduate Award (SINGA) 2010. Recognized for her work in bridging academic research with industrial applications, particularly in enhancing system reliability through advanced control methodologies.

Zukui Liمشاهده پروفایل

استاد

• Mathematical Optimization
• Machine Learning
• Process Systems Engineering
• +۴ مورد دیگر

Zukui Li is a Professor in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering, where he leads a research group focused on mathematical optimization, machine learning, and process systems engineering. His work spans oil sands extraction, steel production, biomedical applications, and advanced optimization methods. Education: Ph.D. in Chemical Engineering, Rutgers University (2010) M.Sc. in Control Theory and Control Engineering, University of Science and Technology of China (2005) B.Sc. in Automatic Control, University of Science and Technology of China (2002) Postdoctoral Training: Princeton University (2010-2012) Research Focus: Dr. Li's research integrates mathematical optimization and machine learning for complex process systems. His primary areas include: Advanced optimization techniques (robust, stochastic, and distributionally robust optimization) Machine learning applications in process monitoring and biomedical systems Industrial applications in energy, manufacturing, and resource extraction Specific innovations include physics-informed ML for anemia treatment, adaptive optimization for steel production, and distributionally robust methods for uncertainty management. Publication Trends (2019-2023): Recent articles demonstrate a strong focus on uncertainty-aware optimization methods, with increasing integration of machine learning techniques. Dominant themes include distributionally robust optimization, adaptive decision-making under uncertainty, neural network approximations for complex constraints, and applications in industrial process control and biomedical systems. Theoretical advancements are consistently coupled with practical implementations in energy and manufacturing sectors. Research Group: Leads an active team developing optimization frameworks and machine learning solutions for process engineering challenges. Group website: Dr. Zukui Li's Research Group

• Algorithmic Databases
• Data Mining
• Computational Geometry
• +۵ مورد دیگر

Stavros Sintos is an Assistant Professor in the Department of Computer Science at the University of Illinois at Chicago (UIC). He joined UIC after a postdoctoral fellowship at the University of Chicago, where he was part of the ChiData group under Sanjay Krishnan. He earned his Ph.D. in Computer Science from Duke University in 2020, advised by Pankaj K. Agarwal. His research focuses on designing efficient algorithms for databases, data mining, and computational geometry . Key themes include: Theoretical guarantees for practical problems Compact indexing structures for query efficiency Geometric optimization combined with database systems Fairness in algorithmic design (e.g., Fair Set Cover, FairHash) Temporal data analysis and dynamic query processing Notable scientific contributions include a Best Paper Award at ICDT 2024 for work on range entropy queries. His publications span top venues like SIGMOD, PODS, VLDB, and SODA, covering areas such as clustering algorithms, synthetic query witnesses, and temporal join optimizations.

Syed Ejaz Ahmedمشاهده پروفایل

استاد

• Big Data Analytics
• Statistical Machine Learning
• Predictive Modeling
• +۶ مورد دیگر

Syed Ejaz Ahmed is a distinguished Professor of Mathematics and Statistics at Brock University , with a career spanning multiple institutions including the University of Windsor, University of Regina, and University of Western Ontario. He serves as a Review Editor for Technometrics and holds editorial roles for several journals. PhD, Carleton University MSc, University of Guelph MSc in Statistics, University of Karachi BSc (Honors), University of Karachi His research focuses on big data analytics , statistical machine learning , and shrinkage estimation , with applications in healthcare, economics, and environmental science. He has organized international workshops on high-dimensional data analysis since 2011. Recent scientific contributions highlight advanced methods for high-dimensional regression, censored data analysis, and predictive modeling. His work has received international recognition through awards and fellowships. Fellow, American Statistical Association Fellow, Royal Statistical Society Elected Member, International Statistical Institute NSERC Discovery Grant (2017-2022) ISOSS Gold Medal A dedicated educator, he has supervised numerous PhD/MSc students and postdoctoral fellows. Currently, he leads the Centre for Business Analytics at Brock and collaborates with institutions worldwide through honorary professorships and visiting roles.

Janette Hughesمشاهده پروفایل

استاد

• Digital Literacies
• STEAM Education
• Maker Pedagogies
• +۵ مورد دیگر

Janette Hughes is a Professor and Canada Research Chair (Tier 2) in Technology and Pedagogy at the Mitch and Leslie Frazer Faculty of Education, Ontario Tech University. Her work focuses on transforming literacy practices through digital technologies and maker-oriented pedagogies. She holds a PhD in Curriculum (Language and Literacy) from the University of Western Ontario and has taught courses ranging from undergraduate programs to doctoral research methods. Education: PhD in Curriculum (Language and Literacy), University of Western Ontario, 2006 MA in Teaching (Curriculum/English), OISE/University of Toronto, 1995 BEd (Concurrent IS English/History), Queen’s University, 1988 Bachelor of Arts (Honours English Literature), Queen’s University, 1987 Research Interests: Digital literacies, maker pedagogies, STEAM education, critical making, social media and identity construction, and fostering global competencies through design thinking. Her work emphasizes how digital tools empower learners to critique, create, and drive social change. Awards & Recognition: Ontario Ministry of Research and Innovation’s Early Researcher Award Ontario Research Fund—Research Excellence Award UOIT Research Excellence Award Lab & Collaborations: Directs the STEAM-3D Maker Lab, exploring innovative learning spaces and technologies. Engages in collaborative research on topics like virtual professional learning and inclusive curriculum design.

• Transportation Engineering
• Location Optimization
• Geospatial Information Science
• +۴ مورد دیگر

Tae J. Kwon is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Alberta . His research spans Winter Transportation Engineering , Intelligent Transportation Systems (ITS) , Traffic Optimization , and Geospatial Information Science . Developed LoRWIS , a web-based decision support system for road weather sensor optimization Recipient of multiple awards including ITS Canada Excellence in Research and Development Award (2024) , KOFST Scientist of the Year (2024) , and Early Career Research Award (University of Alberta, 3 times) Active in professional committees like the TRB Surface Transportation Weather Research Group (2016–present) Research Highlights : Winter Road Maintenance : Advanced geostatistical and deep learning techniques for road condition monitoring Location Optimization : Pioneered models for RWIS sensor placement using hybrid geostatistical methods Intelligent Transportation Systems : Focused on big data applications for traffic safety and connected vehicles Climate Resilience : Integrated ecological vulnerability into fire hazard modeling Scientific Awards : ITS Canada Excellence in Research (2024) KOFST Scientist of the Year (2024) Donald Stanley Best Paper Award (2023) AKCSE Early Achievement Award (2021) University of Alberta Early Career Research Award (2020) Great Supervisor Award (2019) Teaching & Leadership : Teaches courses like CIV E 419 (Transportation Engineering: Highway Planning and Design) and CIV E 612 (Transportation Planning: Methodology and Techniques) Leads the Geospatial Transportation System & Sensing Solutions Lab (GeoTrans) , mentoring PhD students Juan Cuellar and Jiehao Bi Collaborates with agencies including Alberta Transportation , NSERC , and Iowa DOT

Alla Shefferمشاهده پروفایل

استاد

• Geometry Processing
• Computer Graphics
• Discrete Geometry
• +۷ مورد دیگر

Alla Sheffer is a Professor and Associate Head of Faculty Affairs in the Department of Computer Science at the University of British Columbia, Faculty of Science. She is affiliated with multiple research centers including CAIDA (Centre for Artificial Intelligence Decision-making and Action), the Institute of Applied Mathematics, and ICICS (Institute for Computing, Information and Cognitive Systems). B.Sc., Hebrew University, Jerusalem (1991) M.Sc., Hebrew University, Jerusalem (1995) Ph.D., Hebrew University, Jerusalem (1999) Postdoctoral Research Associate, University of Illinois, Urbana-Champaign (1999-2001) Assistant Professor, Technion, Israel (2001-2003) Assistant Professor, University of British Columbia (2003-2008) Associate Professor, University of British Columbia (2008-present) Professor Sheffer's research focuses on geometry processing, addressing algorithmic challenges in digital shape modeling and manipulation. Her work primarily deals with discrete geometry representations, specifically meshes (polygonal model representations), with applications in computer graphics and computer-aided engineering. She utilizes tools from computational and differential geometry, discrete mathematics, and graph theory to generate, manipulate, and edit discrete geometric models. Her research spans virtual and augmented reality, visual computing, and 3D modeling, with significant contributions to sketch-based modeling, mesh processing, and cloth simulation. The 15 most recent publications reveal a consistent research trajectory in geometry processing, with recent work focusing on vector sketch processing, VR drawing tools, and advanced mesh manipulation techniques. Her work demonstrates a strong connection between human perception and computational methods, particularly in the interpretation of freehand sketches and the generation of perceptually-accurate geometric representations. The recurring themes across her publications include flowlines, curve networks, mesh parameterization, and the application of perceptual studies to improve algorithmic outputs. Eurographics Fellow ACM Fellow IEEE Fellow Royal Society of Canada Fellow SIGGRAPH Academy Member UBC Killam Research Prize NSERC Discovery Accelerator Supplement IBM Faculty Award Professor Sheffer has supervised numerous doctoral and master's students, with recent theses focusing on geometric mesh processing, vector sketch interpretation, VR drawing tools, and garment modeling. Her research group maintains strong connections with industry through various partnerships and has received substantial grant funding to support their innovative work in geometry processing and computer graphics. She teaches courses in computer graphics, geometric modeling, and video game programming, contributing significantly to both undergraduate and graduate education in computer science.

Jun Yanمشاهده پروفایل

دانشیار

• Cybersecurity
• Artificial Intelligence
• Smart Grids
• +۳ مورد دیگر

Jun Yan is an Associate Professor and Concordia University Research Chair in Artificial Intelligence in Cyber Security and Resilience at the Concordia Institute for Information Systems Engineering (Concordia University). His research focuses on cybersecurity, smart grid systems, and AI-driven solutions for energy and communication networks. He supervises graduate students in programs such as Information Systems Security (MASc), Computer Science (MCompSc), and Information and Systems Engineering (PhD). Research Highlights : Cybersecurity of distributed energy systems, AI penetration testing frameworks, and resilient transactive energy markets. Awards : Holds a prestigious university research chair in AI-driven cybersecurity. His work integrates machine learning with domain-specific challenges in smart grids, IoT security, and multi-agent systems. Notable contributions include frameworks for detecting adversarial attacks on power systems, optimizing renewable energy integration, and developing AI tools for penetration testing. His articles reflect a strong emphasis on interdisciplinary solutions blending cybersecurity, energy systems, and advanced computing. Yan’s research also addresses policy and infrastructure challenges in sustainable energy systems, including waste management policy analysis and optimal configuration of hybrid renewable systems. He has pioneered open-source co-simulation platforms like PEMT-CoSim and Quantum-Sim for secure energy trading and quantum communication in grids. He actively engages in grant-funded projects and advises on both academic and applied aspects of cybersecurity and intelligent systems.