جستجوی استاد راهنمای دانشگاهی

Michel Desmaraisمشاهده پروفایل

استاد

• Artificial Intelligence
• Cognitive Modeling
• Human Factors Engineering
• +۵ مورد دیگر

Michel Desmarais is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montreal since 2002. He has established himself as a prominent researcher in the fields of Artificial Intelligence, Cognitive Modeling, and Educational Data Mining. His work bridges the gap between human factors engineering and advanced computational techniques, with a strong focus on practical applications in learning environments and software systems. Dr. Desmarais holds a Ph.D. in Psychology from the University of Montreal. Prior to joining Polytechnique Montreal, he spent ten years at the Montreal Computer Research Institute (CRIM) as scientific lead of a research team, followed by management and R&D positions in a private firm specializing in Web applications. His interdisciplinary background spanning psychology and computer science has informed his unique approach to human-centered AI systems. Professor Desmarais' research focuses on applying artificial intelligence techniques to educational contexts, with particular expertise in cognitive modeling, knowledge representation, and recommender systems. His work in educational data mining has significantly contributed to understanding how students learn through technology-mediated environments. He has developed innovative approaches for short answer grading using sentence similarity, knowledge tracing, and Q-matrix refinement. His research also extends to human factors engineering, where he examines how intelligent systems can be designed to better align with human cognitive processes. His recent publications demonstrate a clear trajectory toward leveraging advanced AI techniques, particularly large language models and deep learning, to solve complex problems in software engineering and education. The recurring themes across his work include expertise modeling, latent dimension analysis, and the development of adaptive learning environments that respond to individual learner needs. Professor Desmarais has been editor of the Journal of Educational Data Mining from 2013 to 2017 and remains highly involved in both the Educational Data Mining and User Modeling research communities. His leadership in these fields is reflected in his numerous collaborations and his role as a sought-after expert, as evidenced by media appearances such as his commentary on Google's inner workings in La Presse+ in 2018. He has supervised 11 Ph.D. students and 24 Master's students, mentoring the next generation of researchers in AI and educational technology. His students have pursued diverse research topics including technology-mediated peer instruction, latent dimension analysis, video interaction patterns in MOOCs, knowledge tracing, and recommender systems. Professor Desmarais is affiliated with the Institute for Data Valorization (IVADO) as a Member and with LAMA-WeST (Web, Semantics and Text) as a Collaborating member. These affiliations reflect his commitment to interdisciplinary research that bridges computer science, cognitive science, and practical applications in information systems.

Philippe Doyon-Poulinمشاهده پروفایل

دانشیار

• User-centered design
• Usability
• User experience (UX)
• +۴ مورد دیگر

Philippe Doyon-Poulin is an Associate Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal, specializing in human factors engineering and user experience design for complex systems. With extensive industry experience from Bombardier Aerospace (2013-2019), he contributed to the design and certification of flight decks for the CSeries (now A220) and Global 7500 aircraft, conducting over 500 hours of usability testing with pilots in flight simulators. His educational background includes a Doctorate in Industrial Engineering from Polytechnique Montréal (2014), a Master's in Applied Sciences in Industrial Engineering from the same institution, and a Baccalaureate in Physics with specialization in numerical computing from Sherbrooke University. Doyon-Poulin's research centers on cognitive engineering of man-machine systems, with particular focus on user interface design for aviation, healthcare, and industrial applications. His work bridges theoretical human factors principles with practical implementations in real-world contexts, especially in the evolving landscape of Industry 4.0 and digital transformation. He investigates how visual clutter affects performance, how to design effective touch interfaces under vibration conditions, and how to optimize human-system interaction for safety-critical environments. His recent publications demonstrate a strong trajectory across multiple domains including aviation human factors (touchscreen interfaces under vibration), healthcare systems (pediatric ICU decision support), and industrial applications (predictive maintenance systems). The research shows increasing interdisciplinary collaboration, particularly in healthcare applications and human-centered AI development for Industry 5.0 contexts. Doyon-Poulin actively supervises graduate students, with seven Master's theses and two PhD dissertations completed in 2022-2023 alone. His students' work spans aviation interfaces, mining equipment maintenance systems, medical decision support tools, and virtual reality applications for human factors evaluation. His research has attracted media attention, particularly regarding cockpit design for future aircraft and applications of his work in healthcare during the pandemic. He leads research projects that often involve building test environments for human performance evaluation, such as the customizable touchscreen testing bench developed by his Master's student Adam Schachner, which simulates cockpit vibration conditions. His laboratory work bridges theoretical human factors research with practical applications in industry settings.

Martin George Von Mohrenschildtمشاهده پروفایل

دانشیار

• Control Theory
• Software Engineering
• Autonomous Driving
• +۱۰ مورد دیگر

Dr. Martin George Von Mohrenschildt is an Associate Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. He actively contributes to interdisciplinary research spanning control theory, autonomous systems, biomedical signal processing, and cognitive neuroscience. His academic work focuses on Hybrid control systems for robotics and autonomous vehicles Neural correlates of multisensory integration in human perception Wavelet and model-free approaches to mechanical systems analysis Sensor fusion techniques for autonomous driving Human factors in transportation and virtual reality training Recent publications (2025-2024) highlight Domain adaptation for electric motor vibration analysis Multi-sensor autonomous driving datasets (CMHT) Wavelet-based damping estimation in dynamic systems EMG biofeedback applications for muscle interventions Landmark-specific route navigation in simulated environments Dr. Von Mohrenschildt has maintained continuous teaching engagement since 2017, delivering graduate courses in Time Series Analysis (CAS 748), Intelligent Control (MECHTRON 6AX3/4AX3), Signals and Systems (SFWRENG 3MX3), and Advanced Computing Topics (CAS 781).

Blair C. Armstrongمشاهده پروفایل

استادیار

• Cognitive Psychology
• Neuroscience
• Computational Modeling
• +۳ مورد دیگر

Blair C. Armstrong is an Assistant Professor in the Department of Psychology at the University of Toronto, with undergraduate and graduate appointments at its Scarborough and main campuses, respectively. He is also an Affiliated Researcher at the Basque Center on Cognition, Brain, and Language (BCBL). His research focuses on cognitive and neural mechanisms in word comprehension and semantic memory, particularly ambiguous word processing, cross-linguistic differences, and integration of computational modeling with empirical methods (e.g., behavioral and electrophysiological techniques). He develops tools like Chronset (speech onset detection), eDom (homonym dominance ratings), and SOS (stimulus optimization), often involving Python and MATLAB scripts for data processing. Scientific contributions include databases such as UNION (merged SUBTL and CMU Pronunciation Dictionary) and EsPal (Spanish lexical norms). His work emphasizes open-source software under GPL and Creative Commons licenses to advance psycholinguistic research methodologies.

Lea Frermannمشاهده پروفایل

مدرس ارشد

• Natural Language Processing
• Machine Learning
• Computational Cognitive Modeling
• +۵ مورد دیگر

Lea Frermann is a Senior Lecturer and DECRA 2023 Fellow in the School of Computing and Information Systems at the University of Melbourne. Her research focuses on understanding how humans learn about and represent complex and evolving information in large-scale and noisy environments, with applications to developing fairer and more robust automatic systems. She combines methods from natural language processing, machine learning, and computational cognitive modeling in her work. Her primary research interests include narrative understanding, media framing, word meaning change over centuries, category and feature learning in children, and fairness in natural language processing. She has developed scalable models of category and feature learning from noisy language data and models of historical word meaning change. Her current research focuses on improving automatic understanding of narratives in both fiction and reality, analyzing framing and narrative strategies in biased news stories. Dr. Frermann's recent publications demonstrate a strong trend toward interdisciplinary research at the intersection of NLP, cognitive science, and social science, with particular emphasis on media framing analysis, bias detection, and narrative understanding. Her work often involves collaborations across multiple institutions and disciplines. DECRA Fellow 2023 Outstanding Paper Award at ACL 2024 for 'Media Framing: A Typology and Survey of Computational Approaches Across Disciplines' Best Paper Award at ALTA 2023 She currently supervises multiple PhD students including Chaoyi Xiang, Damian Curran, Matteo Guida, Bryan Chen, Yilin Geng, Gisela Vallejo, Uri Berger, Katie Warburton, and John Xu. Her former students include Sheilla Njoto, Chunhua Liu, Shima Khanezar, and Kemal Kurniawan. She has secured significant research funding, including the DECRA fellowship, supporting her work on narrative understanding and media framing. Dr. Frermann leads a research group focused on narrative understanding and computational social science, with projects spanning media framing analysis, bias detection in language models, narrative structure in fiction, and cross-cultural communication patterns.

Pablo Alejandro Figueroa Foreroمشاهده پروفایل

دانشیار

• Virtual Reality
• Augmented Reality
• Video Game Development
• +۴ مورد دیگر

Pablo Alejandro Figueroa Forero is an Associate Professor in the Department of Systems and Computer Engineering at the School of Information Technology, University of the Andes, Colombia. With over 15 years of continuous service at the university (promoted to Associate Professor in 2009), he maintains a strong research and teaching profile in virtual reality and video game development. His academic journey includes a Ph.D. from the University of Alberta (2004), an M.Sc. from Universidad de los Andes (1994), and a B.Sc. from Universidad Nacional de Colombia (1992). Professor Figueroa's research spans multiple domains of virtual and augmented reality applications. His work focuses on practical implementations including healthcare training systems, emotional well-being assessment tools, educational environments, and cultural preservation projects. He leads the IMAGINE-Visual Computing research group and serves as Technical Director of the Colivri laboratory ( http://colivri.uniandes.edu.co ), which provides infrastructure for VR development and serves as a hub for student projects. His recent publication record (2022-2025) shows remarkable productivity with multiple articles per year in reputable venues including IEEE Transactions on Visualization and Computer Graphics and Frontiers in Education. These works demonstrate a consistent focus on practical VR applications across healthcare, education, and cultural domains, with increasing attention to metaverse environments and advanced interaction techniques like gaze tracking and haptic feedback. Best article: 'A Scalable, Learning Based, VR Simulation of Machine Tools,' IADIS International Conference (2010) IBM Faculty Innovation Awards (2007) iCORE Graduate Student Award, Alberta Informatics Circle of Research Excellence (2000) Walter H Johns Graduate Fellowship, University Of Alberta (1999, 2000) NSERC Scholarship, Canada (1999) Professor Figueroa supervises numerous graduate and undergraduate students, with recent thesis topics covering VR applications for facial paralysis rehabilitation, public speaking training, memory assessment, and cultural preservation. His teaching responsibilities include Video Game Development, Interactive Visual Computing, and Introduction to Computational Thinking, with 50% of his time dedicated to instruction. He has established the IGDA (International Game Developers Association) student chapter at University of the Andes to foster student interest in game development.

Randy Jamiesonمشاهده پروفایل

استاد

• Cognitive Psychology
• Human Memory
• Associative Learning
• +۳ مورد دیگر

Randy Jamieson is a Professor in the Department of Psychology within the Faculty of Arts at the University of Manitoba, where he conducts research at the intersection of cognitive psychology and computational modeling. His work explores fundamental mechanisms of human memory, learning, and knowledge representation through both experimental and theoretical approaches. His academic credentials include: NSERC Postdoctoral Fellow (Cognitive Science), McMaster University (2007) PhD (Brain, Behaviour, and Cognitive Science), Queen's University (2005) MA (Brain, Behaviour, and Cognitive Science), Queen's University (2001) BA (Specialized Honours) in Psychology, York University (1999) Dr. Jamieson's research focuses on human memory systems , particularly the relationship between episodic and semantic memory, and how memory drives intuitive inferences. He develops formal models of lexical retrieval and cognitive technologies such as psychologically grounded search engines. His methodological approach combines experimental paradigms with computational modeling to investigate learning, memory, and cognition across species. His recent publications (2022-2025) demonstrate a clear trajectory toward unifying theoretical frameworks, with increasing emphasis on computational implementations of memory models. This work bridges cognitive theory with practical applications in cognitive technology, particularly through his development of instance-based modeling approaches applied to diverse phenomena from associative inference to semantic memory. Dr. Jamieson's contributions have been recognized through prestigious honors: Richard C. Tees Distinguished Leadership Award (Canadian Society for Brain, Behaviour, and Cognitive Science) Fellow of the Canadian Psychological Association Fellow of the Canadian Society for Brain, Behaviour, and Cognitive Science Fellow of the Psychonomic Society Faculty of Arts Teaching Excellence Award (New Faculty Category, University of Manitoba) He actively mentors graduate students at both Master's and PhD levels through his Cognitive Science Lab, emphasizing rigorous experimental design and computational methodology. His teaching portfolio spans foundational courses in cognitive processes and advanced seminars in computational psychology, reflecting his commitment to training the next generation of cognitive scientists. The lab serves as an interdisciplinary hub for research on memory systems and cognitive modeling, fostering collaboration across psychology and computer science disciplines.

Daphna Hellerمشاهده پروفایل

دانشیار

• Psycholinguistics
• Semantics
• Pragmatics
• +۴ مورد دیگر

Daphna Heller serves as Associate Professor in the Department of Linguistics at the University of Toronto, located in Sidney Smith Hall, Room 4088. Her academic work bridges theoretical linguistics with experimental methodologies to investigate core aspects of human language processing. Research interests focus on psycholinguistics , experimental semantics/pragmatics , and referential processing . Key specialties include perspective-taking in communication, probabilistic models of reference, language processing in understudied languages (particularly Hebrew and Niuean), and the cognitive mechanisms underlying definite descriptions. Her work integrates theoretical linguistics with experimental paradigms including eye-tracking, corpus analysis, and cross-linguistic comparison. Recent publications reveal strong trends in perspective integration theory and referential choice mechanisms , with increasing focus on mental state attribution in communication. The 2020-2025 publications demonstrate methodological diversity spanning psycholinguistic experimentation, cross-linguistic analysis of Niuean and Hebrew, silent gesture studies, and computational modeling of pragmatic phenomena. 2022 Faculty Research Fellow, Jackman Humanities Institute Heller's research program examines how speakers and listeners manage reference in context, with particular attention to the probabilistic weighing of multiple perspectives. Her work on Hebrew linguistics contributes to understanding Semitic language processing, while Niuean studies provide insights into ergative language comprehension. Current projects appear to extend the Multiple Perspectives Theory to question-answer dynamics and mental state attribution in communication.

Dave Kushمشاهده پروفایل

استادیار

• Psycholinguistics
• Syntax
• Sentence Processing
• +۴ مورد دیگر

Dave Kush is an Assistant Professor at the University of Toronto Scarborough (UTSC), cross-appointed to the Department of Linguistics. He directs the Eyelands Lab (previously the ØyeLab at NTNU), which studies real-time language processing and syntactic knowledge. His research focuses on sentence processing, syntactic theory, and cross-linguistic variation, with specialties in filler-gap dependencies, anaphora, and computational modeling. Education: PhD from the University of Maryland and BA from the University of Michigan. He has advised numerous graduate students, including Anastasia Kobzeva (PhD Candidate), Parker Robbins (MA Student), and Sunniva Strætkvern (PhD Student). The lab is affiliated with the CAP Lab at UTSC and collaborates with the Department of Language and Literature at NTNU. Recent work examines island effects in Norwegian, L2 acquisition, and computational models of dependency resolution. His studies often bridge theoretical syntax with experimental methods, exploring how grammatical constraints interact with real-time processing. Lab members include researchers specializing in syntax, psycholinguistics, and computational modeling, reflecting a multidisciplinary approach to language science.

• Cognitive Science of Language
• Speech Perception
• Psycholinguistics
• +۵ مورد دیگر

Philip Monahan is an Associate Professor in the Department of Linguistics at the University of Toronto Scarborough (UTSC). His research focuses on cognitive science of language, speech perception, psycholinguistics, and neurolinguistics. He holds a PhD from the University of Maryland and MA/BA degrees from the University of Florida. Dr. Monahan's work explores how linguistic knowledge influences auditory processing, particularly in areas like tonal languages, bilingualism, and the neural mechanisms underlying speech perception. He employs experimental methods including electrophysiological recordings (EEG/MEG) and computational modeling to investigate phonological representation, lexical access, and cross-linguistic variation. Key research themes include: the cognitive processing of script-mixing in bilingual contexts, acoustic-perceptual factors in phonological typology, and the role of language dominance in heritage speaker populations. His studies often bridge traditional linguistic analysis with neuroscientific methodologies to uncover how abstract linguistic structures manifest in real-time cognitive processes. Recent publications (2019-2025) reveal a focus on speech envelope entrainment during communication, auditory translation priming effects, and the neural coding of phonetic features across languages. His research demonstrates interdisciplinary engagement, integrating insights from cognitive psychology, neuroscience, and computational linguistics.

Izak Benbasatمشاهده پروفایل

استاد

• Human-Computer Interaction
• E-Commerce
• Artificial Intelligence
• +۶ مورد دیگر

Izak Benbasat is the Sauder Distinguished Professor of Information Systems and Professor Emeritus at the University of British Columbia's Sauder School of Business. His research focuses on human-computer interfaces, especially in e-commerce, trust in AI systems, and IT competencies. He holds a PhD from the University of Minnesota and honorary doctorates from Université de Montréal (2009). He is a Fellow of the Royal Society of Canada and a Member of the Order of Canada (C.M.). Benbasat's research interests include designing user-friendly web interfaces, enhancing system transparency in recommendation agents, and measuring IT-related competencies. He has explored topics such as privacy in mobile apps, algorithm aversion, and the impact of envy on social media behavior. Education: BA, Robert College, Istanbul MSc, PhD, University of Minnesota Doctorat Honoris Causa, Université de Montréal His recent work addresses algorithm aversion, transparency in advice systems, and cybersecurity policies. He has published extensively in top journals like Management Information Systems Quarterly and Information Systems Research . Awards: Fellow, Royal Society of Canada (2009) Member of the Order of Canada (2012) Doctorat Honoris Causa, Université de Montréal (2009) Benbasat advises on strategic IT alignment and has contributed to frameworks for improving communication between IT professionals and business managers. His research bridges theory and practice, emphasizing real-world applications in digital commerce and technology governance.

Oliver Hardtمشاهده پروفایل

دانشیار

• Behavioural Neuroscience
• Cognitive Neuroscience
• Memory
• +۳ مورد دیگر

Oliver Hardt is an Associate Professor in the Department of Psychology at McGill University, where he leads the Memory and Forgetting Lab. His research focuses on the neurobiology of memory with particular emphasis on memory maintenance and forgetting mechanisms, employing a systems-level approach across multiple model organisms and human subjects. His primary research areas include Behavioural Neuroscience and Cognitive Neuroscience, with core interests in memory systems, forgetting processes, and neurobiological mechanisms. The lab utilizes behavioral studies in genetically modified Drosophila melanogaster , pharmacological manipulations of specific rodent brain regions, and computer-based cognitive tasks in human subjects. Collaborative work extends to clinical populations with memory dysfunctions including Fragile X syndrome, autism spectrum disorders, and Alzheimer's disease. Analysis of his publication record reveals a consistent focus on synaptic mechanisms underlying memory persistence and decay, particularly AMPA receptor trafficking and endocytosis. His work bridges molecular neuroscience with behavioral outcomes, establishing critical links between cellular processes and cognitive phenomena in both healthy and pathological memory systems. Scientific Awards: No awards were mentioned in the provided documentation. Advising and Grants: The available information does not specify graduate students, postdoctoral researchers, or external grant funding. Labs and Teams: The Memory and Forgetting Lab operates as an interdisciplinary research unit integrating molecular, systems, and cognitive neuroscience approaches to investigate fundamental memory processes across species.

Robert Stampsمشاهده پروفایل

استاد

• Magnonics
• Condensed Matter Physics
• Artificial Spin Ice
• +۳ مورد دیگر

Robert Stamps is a Professor and Department Head of Physics and Astronomy at the University of Manitoba, within the Faculty of Science. His research focuses on magnonics, artificial spin ice systems, hyperbolic optics, and neuromorphic computing. He explores complex systems such as spin textures, magnetic dynamics, and the interplay between spintronics and photonics. His work bridges condensed matter physics, materials science, and computational approaches. Research Interests: Magnonics and spin wave dynamics in antiferromagnetic materials Artificial spin ice configurations and defect control Hyperbolic metamaterials and optical propagation Neuromorphic systems modeled using restricted Boltzmann machines Phase transitions and topological defects in nanostructured magnets Recent Work Trends: Over 2021-2025, his publications emphasize cavity magnonics, active inference in spin systems, and hyperbolic optical phenomena in antiferromagnets. He investigates emergent behaviors in artificial spin ice under varying fields and thermal conditions. Advising & Grants: No specific students or grants listed, though his research likely involves collaborative experimental/theoretical projects. His lab likely focuses on advanced microscopy, magneto-optical measurements, and computational simulations. Labs/Teams: While not explicitly named, his work suggests involvement in multi-institutional collaborations in spintronics and condensed matter physics.

Michael Liutمشاهده پروفایل

استادیار

• Adaptive Systems
• Algorithms
• Computer Science Education
• +۶ مورد دیگر

Michael Liut is an Assistant Professor, Teaching Stream in the Department of Mathematical and Computational Sciences at the University of Toronto Mississauga. He is cross-appointed in the Department of Computer Science at the University of Toronto and affiliated with the Institute for the Study of University Pedagogy. His research focuses on Adaptive Systems, Algorithms, Computer Science Education, Education Technology, and Generative AI. He holds a Ph.D. and M.Eng. in Computer Science from McMaster University. Education: Completed his Ph.D. in Computer Science and M.Eng. in Software Engineering at McMaster University under Drs. Antoine Deza and Frantisek Franek, within the Advanced Optimization Research Laboratory (AdvOL). Research Interests: Explores adaptive systems (behavioral tools, conversational agents), algorithms (machine learning, NLP), and innovations in computing education (adaptive interventions, predictive modeling, student support). Co-founded the CORE Lab and contributes to the CS Education Research Group. Awards: UTM Dean's Merit Award (2021, 2022, 2024) and Outstanding Faculty Guidance & Support Award (2021). Service: Serves as Co-Chair of ACM's SIGMOD/PODS' DataEd (2024–2026), Faculty Advisor for WiSC (Women in Science & Computing), and Advisor for UTM's CSSC (Computer Science Student Community). Labs/Teams: Leads the Computational Research and Education (CORE) Lab at UofT and participates in the CS Education Research Group, formerly involved with AdvOL and Indoor Positioning teams.

Andrew Petersenمشاهده پروفایل

استاد

• Computer Science Education
• Educational Technology
• Introductory Programming Education
• +۳ مورد دیگر

Andrew Petersen is a Professor, Teaching Stream and Vice Chair (Computer Science) in the Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM). He holds a cross-appointment in the Institute for the Study of University Pedagogy. His academic roles include directing teaching initiatives and serving on UTM’s leadership teams, including Acting Vice-Dean and Acting Associate Dean roles. Petersen earned his MSc in Computer Science from the University of Washington. Research Interests: His work focuses on computer science education, particularly introductory programming courses and teaching methodologies. He emphasizes active learning, student engagement, and the use of technology to enhance educational outcomes. His research group investigates topics like self-explanation, gamification, and the impact of AI on education. Publications: Petersen’s recent work includes studies on educational technology, such as the efficacy of videos, voice-based learning, and AI-driven interventions. His research trends highlight innovative methods to address student challenges in computing education. Awards: UTM Teaching Excellence Award, U of T President’s Teaching Award, OCUFA Teaching Award Advising & Grants: Co-supervises PhD student Angela Zavaleta Bernuy. His work often involves collaborative projects with students on educational tools and interventions, supported by grants exploring topics like formative feedback and student motivation. Labs/Teams: Member of the U of T CS Education Research Group, contributing to conferences like ICER and Koli Calling.