جستجوی استاد راهنمای دانشگاهی

Alexei A. Efros is a Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at UC Berkeley, where he holds the Howard Friesen Professorship and is affiliated with the Berkeley Artificial Intelligence Research (BAIR) Lab. He previously served on the faculty at the Robotics Institute of Carnegie Mellon University (CMU) and completed a postdoctoral fellowship at the University of Oxford. His research spans data-driven computer vision, self-supervised learning, computational photography, and applications to computer graphics and robotics. His research interests include: Data-Driven Computer Vision Self-Supervised and Unsupervised Learning Generative Models and Image Synthesis Visual Representation Learning Applications in Robotics and Human-Computer Interaction Intersections with Human Vision and the Humanities The recent publications highlight a strong trend toward self-supervised learning, visual reasoning, and generative modeling, particularly diffusion models and 3D scene understanding. His work increasingly bridges computer vision with language, robotics, and cognitive science, emphasizing interpretability and real-world applicability. There is a clear focus on leveraging unlabeled data and developing methods for robust, generalizable AI systems. His scientific awards and recognitions include: Berkeley Fellowship Google Fellowship Soros Fellowship NSF Fellowship SIGGRAPH Outstanding Doctoral Dissertation Award Facebook Fellowship Adobe Fellowship CMU School of Computer Science Distinguished Dissertation Award ACM Doctoral Dissertation Honorable Mention Alexei Efros has advised numerous PhD students and postdocs, many of whom have gone on to faculty positions at top institutions including CMU, Stanford, MIT, Columbia, NYU, and Georgia Tech. His lab has received research funding from major tech companies and federal agencies, though specific grants are not detailed in the text. He teaches core computer vision and machine learning courses at both undergraduate and graduate levels at UC Berkeley. His research group is highly active, with ongoing projects in 3D perception, generative modeling, and vision-language systems. He leads a vibrant research lab at UC Berkeley, part of the BAIR consortium, collaborating with leading researchers such as Jitendra Malik, Trevor Darrell, Pieter Abbeel, and Angjoo Kanazawa. His lab fosters strong interdisciplinary connections with institutions worldwide, including Oxford, INRIA, and École Normale Supérieure.

• Computer Vision
• Self-Supervised Learning
• Computational Photography
• +۷ مورد دیگر

José Eduardo Villalobos Graillet is an Assistant Professor of Spanish at Idaho State University , specializing in Modern Peninsular Literature and Culture with a focus on visual culture (film and television) . He previously held a position as Spanish Instructor at Wilfrid Laurier University in the Department of Languages and Literatures. Research Areas : Spanish Film Studies, Spanish Medieval Literature, Latin American and Caribbean Studies, Teaching Spanish as a Foreign Language, Visual Culture, and Critical Pedagogy. His scholarly work examines film and television adaptations of 'La Celestina' , analyzing censorship dynamics across Francoist Spain, the Democratic Transition, and contemporary Spain. He also contributes to Spanish pedagogy , developing technological tools like Lang-8 for written expression and culturally immersive teaching units on topics such as winter festivals and Caribbean music. His publications span both critical academic analysis and methodological innovations for language instruction. Key Themes in Publications : Adaptation fidelity, political censorship, intercultural pedagogy, and the role of digital platforms in language learning.

• Spanish Film Studies
• Spanish Medieval Literature
• Latin American and Caribbean Studies
• +۵ مورد دیگر

Andrea Korda, PhD (University of California, Santa Barbara), is an Associate Professor of Fine Arts & Humanities and Associate Dean (Research) at the Augustana Campus of the University of Alberta. Her academic career bridges art history, material culture studies, and pedagogical innovation. Educations: BA in Fine Arts, Queen's University MA in Art History, Concordia University PhD in Art History, University of California, Santa Barbara Research Focus: Dr. Korda specializes in 19th-century visual and material culture, with a focus on education's visual dimensions, children's literature, and community-engaged projects like the award-winning Crafting Communities initiative. She co-curated the virtual exhibition Photographies (Bruce Peel Special Collections) and explores hands-on learning through historical crafts. Teaching: Courses include modern art history (AUART 220), photography theory (AUART 225), and special topics in visual culture (AUART 382). She emphasizes experiential learning and digital humanities integration, as seen in her work with the Getty Museum Challenge and OER projects. Collaborations: Leads interdisciplinary teams on projects like Crafting Communities , blending scholarship with public engagement. Her research bridges historical methodologies with contemporary pedagogical practices, fostering connections between academia and communities.

• 19th-century Visual Culture
• Material Culture Studies
• Art History
• +۵ مورد دیگر

Enamul Hoque Prince is an Associate Professor and Director of the School of Information Technology at York University. He leads the Intelligent Visualization Lab, funded by the Canada Foundation for Innovation (CFI) and Ontario Research Funds (ORF). He holds a PhD in Computer Science from the University of British Columbia and completed postdoctoral work at Stanford University. His research integrates information visualization, human-computer interaction (HCI), and natural language processing (NLP) to address information overload challenges. Dr. Prince's educational background includes a PhD from UBC, an MSc from Memorial University of Newfoundland, and a BSc from Chittagong University of Engineering & Technology. He has conducted research at institutions like Tableau Software and the Qatar Computing Research Institute and serves on committees for top conferences like ACL and IEEE Vis. His work is supported by grants from NSERC, CFI, and others. Research interests focus on NLP-driven visual analytics, user-adaptive visualization, and accessible interfaces. Notable projects include Evizeon (natural language interfaces for visual analytics), ConVisIT (topic modeling for online conversations), and CIDER (concept-based image search). Publications highlight trends in multimodal systems, chart comprehension, and accessibility. Key awards include the NSERC Discovery Grant (2019) and a Best Paper Honorable Mention at DIS 2021. He supervises graduate and undergraduate students in areas like visualization, NLP, and HCI. Labs and collaborations emphasize interdisciplinary approaches, with the Intelligent Visualization Lab advancing tools for data exploration and user-centered design. Teaching includes courses on design principles and information visualization.

• Information Visualization and Visual Analytics
• Natural Language Processing
• Human-Computer Interaction

Tina Dacin is a Professor of Strategy and Organizational Behavior at the Smith School of Business, Queen's University, Canada. She holds the Stephen J.R. Smith Chair and serves as Director of the Community Impact Research Program. Her roles include former Director of the Smith School’s Centre for Social Impact, former University Senate member, and former Chair of the Principal’s Innovation Fund Committee. She co-founded the Community of Social Innovation Chair and holds affiliations with the Academy of Management and Informs. Education: Ph.D. (1993) in Business Administration from the University of Toronto and M.A. in Psychology from the University of New Brunswick. Research focuses on cultural heritage, social innovation/entrepreneurship, strategic alliances, and globalization. Key themes include custodianship, tradition preservation, place-making, and institutional dynamics. Recent work explores craft-based ventures, place-sensitive organizational practices, and institutional renewal in crises like the Detroit water wars. Awards: None explicitly listed, though her chair position reflects academic distinction. Teaching includes courses on global social impact and analytics/ethics policy. Labs/Teams: Leadership in the Community Impact Research Program and the Scotiabank Centre for Customer Analytics.

• Cultural Studies
• Globalization and Culture
• Entrepreneurship
• +۳ مورد دیگر

Ian Frigaard is a Professor in the Department of Mechanical Engineering at the University of British Columbia (UBC), affiliated with the Faculty of Applied Science. He also holds an appointment in the Department of Mathematics. His research group operates in UBC's Complex Fluids Lab, focusing on interdisciplinary studies combining mathematical, experimental, and computational approaches. Education: B.Sc. (University of Wales) M.Sc. (University of Oxford) D.Phil. (University of Oxford) C.Math. (Certificate in Mathematics) Research Interests: Professor Frigaard specializes in non-Newtonian fluid mechanics, particularly the mechanics of visco-plastic (yield stress) fluids. His work addresses industrial challenges in petroleum engineering, including well cementing, leakage prevention, and abandonment techniques related to GHG emission control and environmental protection. Research methodologies span theoretical modeling, experimental validation, and computational simulations. Publication Trends: Recent work (2021–2023) emphasizes bubble dynamics in complex fluids, displacement flows in annular geometries, wellbore integrity modeling, and stochastic risk assessment for oil/gas operations. Publications frequently appear in top-tier journals like the Journal of Fluid Mechanics and Journal of Non-Newtonian Fluid Mechanics . Awards & Honors: CSME Fluid Mechanics Medal (2024) Stanley G. Mason Award, Canadian Society of Rheology (2022) Killam Research Prize, UBC (2019) Academic Leadership: Leads a research group of 10+ graduate students and postdocs. Provides summer internships and collaborates extensively with the petroleum industry. Research is supported by industrial partnerships and institutional grants. Facilities: Conducts experiments in UBC's Complex Fluids Lab, equipped for advanced rheological measurements and flow visualization.

• Non-Newtonian Fluid Mechanics
• Visco-plastic Fluids
• Petroleum Engineering
• +۳ مورد دیگر

Dr. Lourdes Pena-Castillo is a Professor jointly appointed in the Departments of Computer Science and Biology at Memorial University of Newfoundland's Faculty of Science. Her research focuses on applying machine learning and bioinformatics to study bacterial gene regulation, with emphasis on transcriptomics, gene expression pathways, and microbiology. She leads the Bioinformatics Lab at MUN, developing computational tools like Promotech for promoter prediction and sRNARFTarget for sRNA target identification. Education: BSc in Information Systems Engineering, ITESM-Mexico MSc in Computer Science, University of Alberta PhD in Computer Science (Doktoringenieurin), Otto-von-Guericke Universität Magdeburg Postdoc in Bioinformatics, University of Toronto Research Interests: Bioinformatics, Genomics, Machine Learning, Artificial Intelligence, Transcriptomics, Gene Regulation, Microbiology Her work integrates computational methods with biological data to address challenges in molecular biology, including analyzing bacterial sRNA functions, promoter recognition, and disease diagnostics using machine learning. She has advised numerous graduate students, including PhD candidates Purvikalyan Pallegar and Bonita McCuaig, and MSc students like Ruben Chevez-Guardado and Kratika Naskulwar. Her lab focuses on translational research with applications in both basic science and clinical contexts. Publications span computational methods for bacterial gene regulation, bioinformatics tool development, and interdisciplinary projects in VR and healthcare informatics. Her research has contributed to understanding symbiotic relationships in marine organisms, inflammatory bowel disease diagnostics, and clavulanic acid production in Streptomyces. Grants & Collaborations: Works with interdisciplinary teams across computer science and biology, supported by grants enabling projects in bacterial genomics and computational tool development. Labs & Teams: Leads the Bioinformatics Lab at MUN, fostering collaborations with researchers in microbiology, computer science, and healthcare.

• Bioinformatics
• Genomics
• Machine Learning
• +۵ مورد دیگر

Tong Lam is an Associate Professor in the Department of Historical Studies and the Graduate Department of History at the University of Toronto, where he also directs the Dr. David Chu Program in Asia-Pacific Studies at the Asian Institute. His research sits at the intersection of media studies, environmental history, and science and technology studies (STS), focusing on the politics and aesthetics of mobilization in China’s special zones across socialist and postsocialist eras. Employing interdisciplinary methodologies, his work explores themes such as state-precipitated violence, industrial ruination, and the socio-political implications of technology. He is a visual artist whose lens-based projects interrogate military violence, surveillance, and postindustrial landscapes. His recent scholarship analyzes postsocialist urbanism, digital governance, and the temporalities of infrastructure. While the absence of explicit scientific awards or student advisement records in the provided text precludes their inclusion here, his publications and creative practice reflect a sustained engagement with critical historical inquiry and contemporary socio-technological challenges.

• History
• Science and Technology Studies
• Media Studies
• +۳ مورد دیگر

Suresh Krishna is an Associate Professor in the Department of Physiology at McGill University's Faculty of Medicine. His research focuses on the neurophysiological and computational basis of sensory processing, attention, and eye movements, with applications to brain-machine interfaces and human health. He works with human subjects, non-human primates, and open datasets using in-vivo electrophysiology, eye-tracking, and computational modeling. Research interests include visual attention mechanisms, saccadic eye movement control, neural coding of motion perception, and the interplay between attention and decision-making. His work bridges basic neuroscience with translational applications such as improving neural prosthetics and understanding perceptual disorders. Recent work highlights how neural remapping processes during saccades underlie spatial perception, and how attention modulates neural activity patterns in visual cortex. The lab's publications reveal critical insights into the temporal dynamics of attentional shifts and their neural substrates, particularly in areas MT and MST. Dr. Krishna's team also investigates auditory temporal processing in the inferior colliculus, exploring correlations between neuronal responses to sound modulation. Their findings contribute to understanding how sensory systems encode temporal information across modalities. Research is conducted in the M2B3 Lab (http://m2b3.lab.mcgill.ca), which integrates experimental and computational approaches to study brain mechanisms underlying perception and action. No specific awards are listed, but ongoing work involves major contributions to primate neurophysiology and translational neuroscience.

• Neurophysiology
• Computational Neuroscience
• Vision Science
• +۵ مورد دیگر

James T. Enns is a Professor and Distinguished University Scholar in the Department of Psychology within the Faculty of Arts at the University of British Columbia. His research primarily focuses on the role of attention in human vision, with secondary interests in developmental psychology and human-machine interaction. Dr. Enns' research interests span perception, attention, vision, cognition, development, and human-machine interaction. His work explores how the human mind selects information, with particular emphasis on visual attention mechanisms. His laboratory research investigates the fundamental processes of visual perception and how attention modulates these processes across different contexts and developmental stages. Analysis of Dr. Enns' publication record reveals consistent engagement with visual perception, attentional mechanisms, and cognitive processing. His research demonstrates expertise in both theoretical frameworks and experimental methodologies related to visual attention, with applications spanning basic cognitive science to potential implementations in human-computer interaction systems. His work often bridges theoretical cognitive psychology with practical applications. Canadian Society for Brain, Behaviour and Cognitive Science Donald O. Hebb Distinguished Contribution Award (2013) Distinguished University Scholar, UBC (2004) Robert E. Knox Master Teaching Award (2004) Royal Society of Canada Fellow (2002) Killam Faculty Research Prize (1994) Killam Faculty Research Fellowship (1993) Society of Experimental Psychology Fellow Dr. Enns has served as Editor for the Journal of Experimental Psychology: Human Perception and Performance, and as Associate Editor for Psychological Science, Consciousness and Cognition, and Visual Cognition. His research has been supported by grants from NSERC, the Canadian Foundation for Innovation, the Australian Research Council, BC Health, and Nissan. He has authored textbooks on perception, edited research volumes on the Development of Attention, and published numerous scientific articles on vision, attention, and cognitive science. Dr. Enns is currently accepting graduate students and continues to mentor the next generation of cognitive scientists. Dr. Enns leads the UBC Vision Lab, which focuses on how the human mind selects information. The lab conducts research on visual attention, perception, and cognitive processes using a variety of experimental methodologies.

• Perception
• Attention
• Vision
• +۳ مورد دیگر

Xiaohui Yu is a Professor and Graduate Program Director in the School of Information Technology at York University. He holds a BSc from Nanjing University, an MPhil from the Chinese University of Hong Kong, and a PhD from the University of Toronto. His research focuses on the intersection of data management and machine learning, including ML-based database systems, large-scale machine learning, and spatio-temporal data analysis in contexts like intelligent transportation systems and social networks. Supported by grants from NSERC and industry partners, his work has been published in top venues such as SIGMOD, VLDB, and TKDE. He serves as an Associate Editor for journals like IEEE TKDE and ACM TKDD, and actively participates in conference program committees. Education: BSc (Nanjing University), MPhil (Chinese University of Hong Kong), PhD (University of Toronto). Research Interests: Big data management, database systems, machine learning, spatio-temporal data analytics, and video query processing. Recent articles emphasize ML-driven database components, efficient video query optimization, and scalable algorithms for large-scale data. His work addresses challenges in query processing, indexing, and real-time systems. Service: Serves on editorial boards (e.g., Information Systems), and chairs/workshops (e.g., Symposium on Data Markets). Active in program committees for SIGMOD, ICDE, and other leading conferences. Advising & Grants: Directs graduate programs and leads research groups. Collaborates with industry on data marketplaces and AI model integration. No specific student names listed, but actively recruits PhD/Master’s candidates.

• Big Data Management and Analytics
• Database Systems
• Machine Learning
• +۳ مورد دیگر

Guillaume Lajoie is an Associate Professor in the Department of Mathematics and Statistics at Université de Montréal and a Core Academic Member of Mila – Quebec Artificial Intelligence Institute. He holds a Canada CIFAR AI Research Chair and a Canada Research Chair in Neural Computation and Interfacing. His research focuses on the intersection of AI and neuroscience, particularly in understanding neural network dynamics and developing brain-machine interfaces for clinical and scientific applications. He is affiliated with the Centre de recherches mathématiques (CRM), the Interdisciplinary Center for Research on the Brain and Learning (CIRCA), and the UNIQUE initiative. Education: PhD in Applied Mathematics from the University of Washington (Seattle), postdoctoral fellowships at the Max Planck Institute for Dynamics and the University of Washington Institute for Neuroengineering. Awards include the FRQS Scholar designation and leadership roles in strategic research initiatives like UNIQUE and CIRCA. Research interests include neural computations, recurrent neural networks, neurotechnology, and responsible AI development. Supervised students include François Paugam (PhD), Giancarlo Kerg (PhD), and others. Key grants include projects on adaptive neuroprosthetics, neural decoding, and Canada Research Chairs funding.

• Artificial Intelligence
• Neuroscience
• Machine Learning
• +۳ مورد دیگر

Anita Hubley is a Professor at the University of British Columbia's Faculty of Education, Department of Educational and Counselling Psychology, and Special Education (ECPS). She serves as MERM Program Coordinator and directs the Adult Development and Psychometrics Lab. Her work focuses on psychometric test development/validation and quality of life research across adult populations. Education: Ph.D. in Psychology (Human Assessment specialization), Carleton University (1995) M.A. in Psychology (Lifespan Development and Aging), University of Victoria (1991) Pre-doctoral training at Geriatric Assessment Unit (Ottawa) and Neuropsychological Assessment Unit (Ottawa) Her research integrates psychometric theory with practical applications in aging populations, homeless/vulnerably housed individuals, and neuropsychological assessment tools. Key contributions include developing the Memory Test for Older Adults (MTOA), Hubley Depression Scale for Older Adults (HDS-OA), Quality of Life in Homeless and Hard-to-House Individuals (QoLHHI), and Subjective Age Identity Scale (SAIS). Scientific Awards: Killam Teaching Prize (2017) Distinguished Reviewer, Buros Institute of Mental Measurements (2013) She has taught graduate courses in Psychological Assessment, Measurement Principles, Scale Development, and Applied Neuropsychology, emphasizing ethical testing practices and response process research. Her lab's work on test adaptation for marginalized populations has informed international measurement standards.

• Adult Development and Aging
• Applied Measurement and Psychometrics (test development & validation)
• Assessment
• +۷ مورد دیگر

Yigal S. Nizri is an Associate Professor, Teaching Stream at the University of Toronto, cross-appointed between the Department for the Study of Religion and the Anne Tanenbaum Centre for Jewish Studies (ATCJS), where he serves as Undergraduate Director. His research focuses on Jewish-Moroccan history, diaspora studies, and Mizrahi cultural identity in Israel. Nizri holds a PhD from New York University and specializes in the emergence of Jewish Moroccan scribal culture within trans-Mediterranean diasporic networks. His work examines Maghribi halakhic traditions, Jewish-Muslim cultural intersections, and Mizrahi identity formation. His publications demonstrate consistent focus on Jewish textual traditions in North Africa, cultural memory in diaspora communities, and the representation of Mizrahi identity in Israeli society. Recent works explore themes of return migration, disaster narratives in Jewish book culture, and the evolution of Moroccan rabbinic print traditions. Nizri teaches courses including History of the Jewish People The Arab Jew: A History of a Concept Mizrahim in Israel: History, Politics, and Culture focusing on Jewish historiography and identity formation across diverse cultural contexts.

• Jewish Studies
• Modern Jewish History
• Maghribi Halakhic Traditions
• +۴ مورد دیگر

Kajri Jain is a Professor of Indian Visual Culture and Contemporary Art at the University of Toronto . She holds undergraduate appointments in the Department of Visual Studies (UTM) and graduate appointments in the Department of Art (St. George) , with cross-appointments at the Institute for Cinema Studies and the Centre for South Asian Studies . Education: PhD, Art History and Theory, University of Sydney MA, Art History and Theory, University of Sydney PEP, Visual Communication, National Institute of Design, Ahmedabad Research Interests: Jain’s work explores how images derive meaning not just from their visual content but from their production, circulation, and material use. Her research spans modern and contemporary Indian visual culture , including bazaar icons, monumental statues, theme parks, and representations of nature in religious and popular contexts. She employs ethnographic methods to examine the intersections of religion, politics, commerce, and aesthetics in postcolonial India. Her teaching and writing critically interrogate the legacies of European Romanticism and secular modernism in art history and visual studies. Publications & Themes: Jain has authored two major monographs— Gods in the Time of Democracy (2021) and Gods in the Bazaar (2007)—and numerous essays on topics such as mass reproduction, political iconography, urban nature, and postcolonial aesthetics. Her articles consistently engage with image theory, postcolonial critique, and the sensory politics of caste and religion in visual culture. Scientific Awards: No specific awards listed in the provided text. Advising & Affiliations: While no specific students are named, Jain teaches a wide range of undergraduate and graduate courses and is affiliated with multiple research centers at the University of Toronto. Her work bridges departments and disciplines, fostering interdisciplinary dialogue in South Asian visual studies. Labs & Teams: Jain is associated with the Graduate Department of Art History and the Centre for South Asian Studies at the Munk School of Global Affairs and Public Policy, University of Toronto.

• Indian Visual Culture and Contemporary Art
• Modern and Contemporary India
• Image Theory
• +۷ مورد دیگر