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James StaffordView profile

Professor

• Data Science
• Asymptotics
• Biostatistics
• +5 more

James Stafford is a Professor at the University of Toronto , affiliated with the Department of Statistical Sciences . His office is located at Sidney Smith Hall, Room 6019, Toronto, Ontario, Canada (M5S 3G3). Research Interests : Data Science, Asymptotics, Biostatistics, Computer Algebra, Smoothing, Survey Methodology, Symbolic Computation, Longitudinal Data Analysis. His work focuses on computational statistics, symbolic algorithms for likelihood adjustments, and applications in survey data visualization and biostatistical modeling. Recent Publications : His research spans symbolic computation in statistics (2000), local-EM algorithms (2010), and recursive moment calculations in risk theory (2003). Articles address topics like bootstrap methods, interval-censored data analysis, and priority queue theory, reflecting interdisciplinary applications in statistics, computer science, and actuarial science. Awards : Distinguished Service Award, Statistical Society of Canada (SSC) Contact : Email: jamie.stafford@utoronto.ca , stafford@utstat.toronto.edu Phone: +1 416-978-5709 Fax: +1 416-978-5133

• Computer Vision
• Computer Graphics
• Computational Photography
• +6 more

Alexei Efros is a Professor of Electrical Engineering and Computer Science at UC Berkeley , affiliated with the Berkeley Artificial Intelligence Research Lab (BAIR) . Previously, he was a faculty member at the Robotics Institute, Carnegie Mellon University , and a postdoc at Oxford University with Andrew Zisserman. His work spans data-driven computer vision , self-supervised learning , and applications to computer graphics , computational photography , and human-AI interaction . Research Themes : Self-supervised visual learning 3D scene understanding Vision-language multimodal systems Teaching : CS 180/280A: Intro to Computer Vision CS 280: Graduate Computer Vision CS 294-192: Visual Scene Understanding Recent Publication Trends : Focus on diffusion models and self-guidance 3D perception and rendering Interpretability of vision-language models Temporal and sequential learning Scientific Collaborations : Extensive partnerships with institutions like MIT, CMU, Stanford, and NVIDIA Mentorship of PhD students now at TTIC, OpenAI, Anthropic, and academia Labs & Teams : BAIR Lab (UC Berkeley) Collaborations with Adobe Research, Google, and NVIDIA

• Computational Arts
• Generative Systems
• Immersive Environments
• +5 more

Graham Wakefield is an Associate Professor in the Department of Computational Arts at York University's School of the Arts, Media, Performance and Design (AMPD). He is also a Canada Research Chair in Computational Worldmaking and leads the Alice Lab, focusing on biomorphic intelligence and immersive mixed realities. His research spans generative systems, artificial life, and creative software development, with notable collaborations on the 'Artificial Nature' series and contributions to the AlloSphere project. Wakefield holds a Ph.D. in Media Arts and Technology from UC Santa Barbara and has taught and researched globally, including at institutions like KAIST and Sogang University in South Korea. Education: Ph.D., Media Arts & Technology, University of California, Santa Barbara (2007–2012) M.Sc., Media Arts & Technology, UC Santa Barbara (2004–2007) M.Mus., Composition, Goldsmiths College, University of London (2002–2004) B.A. (Hons), Philosophy, University of Warwick (1994–1997) Research Interests: Wakefield’s work emphasizes open-ended computational systems applied to immersive environments and generative art. His projects explore bio-inspired systems, generative audiovisual composition, and interactive installations. Key themes include real-time systems, modular synthesis, and the intersection of art and AI. The Artificial Nature series exemplifies his focus on evolving ecosystems and user interaction. Publications & Awards: His work has been exhibited at SIGGRAPH, ISEA, and NIME. Notable awards include the VIDA 16.0 competition and a Best Paper at NIME 2013. Recent publications address modular synthesis, live coding, and immersive environments. Grants & Service: He has secured grants from the Canada Foundation for Innovation, SSHRC (Canada Research Chair), and others. Wakefield actively chairs committees for AI initiatives, faculty searches, and interdisciplinary research units like the Centre for Artificial Intelligence & Society. Labs & Collaborations: The Alice Lab at York University develops tools like COSM and gibber , and collaborates on projects such as the Synaptic Time Tunnel for SIGGRAPH 2023. Wakefield co-authored Generating Sound & Organizing Time and contributes to Max/MSP/Jitter through Cycling '74.

Julien ArinoView profile

Professor

• Mathematical Epidemiology
• Mathematical Population Dynamics
• Data Science
• +3 more

Julien Arino is a Professor in the Department of Mathematics at the University of Manitoba , specializing in Mathematical Epidemiology and Mathematical Population Dynamics . He is an active member of the Mathematical Biology group and focuses on the role of movement in disease transmission, with applications to both human and animal health. Department of Mathematics Faculty of Science University of Manitoba His research spans: Metapopulation dynamics with explicit movement Multi-pathogen and multi-species transmission modeling Computational epidemiology with data science integration Evaluation of travel control measures for disease variants Recent work includes publications on: Cholera transmission in Chad Multi-species bovine tuberculosis dynamics Measles resurgence patterns Software tools for R compilation and data visualization He maintains a public YouTube channel with lecture videos on Mathematical Epidemiology and contributes open-source code for scientific computing in R and Python. His methodological contributions include novel approaches to plot formatting and computational efficiency in epidemic modeling.

Robert GensView profile

Researcher

• Machine Learning
• Computer Vision
• Deep Learning
• +4 more

Robert Gens is a researcher at the University of Washington , affiliated with the College of Engineering and the Department of Computer Science and Engineering . His work focuses on advancing machine learning architectures, particularly Sum-Product Networks (SPNs) , with applications in computer vision and deep learning. Education: S.B. in Electrical Engineering and Computer Science from MIT (2009) , Ph.D. in Computer Science and Engineering from the University of Washington ( 2016 ). His research integrates insights from neuroscience, graphics, and mathematics to develop algorithms capable of modeling infinite visual data as stable concepts. Key contributions include structural learning, discriminative training, and computational efficiency in SPNs. Notable publications span NIPS , ICML , and ICLR venues, with a focus on SPN optimization and compositional modeling. Trends in his work emphasize tractable probabilistic models , neural network efficiency , and cross-disciplinary algorithm design . Awards include the Google PhD Fellowship in Deep Learning and an NIPS 2012 Outstanding Student Paper Award . Current research involves Deep Symmetry Networks at the Seattle Laboratory of Robotics.

Dinesh PaiView profile

Professor

• Sensorimotor Computation
• Biomechanics
• Computer Graphics
• +11 more

Dinesh Pai is a Professor at the Department of Computer Science, University of British Columbia, and directs the Sensorimotor Systems Laboratory. He is affiliated with interdisciplinary institutions including the Institute for Computing, Information and Cognitive Systems (ICICS), the Institute of Applied Mathematics, the Graduate Program in Neuroscience, and the Brain Research Centre. He earned a B.Tech from IIT Madras (1982), an M.S. (1986) and Ph.D. (1988) from Cornell University. His research spans sensorimotor computation, focusing on computational models of biomechanics and neural control in musculoskeletal systems (e.g., human hand, oculomotor system), physics-based simulation, and medical imaging methods like MRI and computed myography (CMG). Key research areas: Artificial Intelligence, Machine Learning, Scientific Computing, Virtual/Augmented Reality, Visual Computing, and Haptics. Applications: Robotics, computer graphics, neuromusculoskeletal modeling, soft tissue simulation, and spinoff technologies via Vital Mechanics. His work has been recognized with awards such as the ACM SIGGRAPH Academy, Web3D Best Paper Award, and UBC’s Killam Research Prize. Funded by NSERC, CIHR, NIH, and other major grants, he has supervised numerous graduate theses on topics like frictional contact simulation, musculotendon dynamics, and real-time soft tissue modeling.

Naimul KhanView profile

Associate Professor

• Machine Learning
• Medical Imaging
• Multimedia
• +5 more

Naimul Khan is an Associate Professor and Associate Chair in Graduate Studies at Toronto Metropolitan University's Department of Electrical, Computer, and Biomedical Engineering. His research focuses on practical applications of machine learning, medical imaging, computer vision, and augmented/virtual reality technologies to solve real-world healthcare and multimedia challenges. PhD (Toronto Metropolitan University, 2014) MSc (University of Windsor, 2010) BSc (Bangladesh University of Engineering and Technology, 2008) His research interests span medical imaging automation, virtual reality systems for healthcare applications, and machine learning techniques for biomedical signal processing. He has developed innovative algorithms for ultrasound analysis, emotion recognition systems using EEG data, and segmentation approaches for diabetic foot ulcers. Publications demonstrate consistent focus on practical implementations across computer vision, medical diagnostics, and extended reality (XR) technologies. Scientific contributions include a Best Paper Award at the IEEE International Symposium on Multimedia (2017) and prestigious postdoctoral and graduate scholarships. He actively collaborates with industry partners through the TMU Multimedia Research Laboratory, teaching graduate courses like ELE 725 (Basics of Multimedia Systems) and COE 318 (Software Systems). Best Paper Award, IEEE International Symposium on Multimedia (2017) OCE TalentEdge Postdoctoral Fellowship (2014-2016) Ontario Graduate Scholarship (2013-2014) Queen Elizabeth II Scholarship in Science & Technology (2012-2013) As co-director of the TMU Multimedia Research Laboratory, Khan bridges academic research with industry applications through practical implementations of machine learning and extended reality technologies in healthcare domains.

• History Education
• Geography Education
• Citizenship Education
• +7 more

Kevin Péloquin serves as an Adjunct Professor in the Department of Didactics within the Faculty of Educational Sciences at the University of Montreal. His academic work focuses primarily on history and geography education at the primary level, with a particular emphasis on innovative teaching approaches and the integration of technology in social sciences education. Péloquin's research interests center around material culture and object-based learning in history and geography education. He investigates how artifacts, graphic novels, video games (particularly Assassin's Creed's Discovery Tour), virtual reality, and field experiences can enhance students' historical empathy, critical thinking, and geographical reasoning. His work frequently explores how these tools can promote multiperspectivity and emotional engagement in primary social sciences education. Analysis of his recent publications (2023-2024) reveals a strong focus on integrating digital technologies with traditional educational approaches. His research demonstrates how virtual field trips to historical sites like the Acropolis of Athens can complement physical visits, and how graphic novels can help primary students understand societal changes and territorial organization. There's a consistent theme of using material culture to promote cultural diversity awareness and critical historical thinking. Péloquin actively participates in numerous academic conferences, particularly in Quebec and internationally, sharing his research on innovative approaches to history and geography education. His collaborative work with colleagues like Marie-Andrée Éthier and David Lefrançois demonstrates strong interdisciplinary connections within the educational research community. His teaching responsibilities include courses such as DID2205 (Human Sciences in Primary Education), DID3209 (Didactics of Human Sciences in Primary Education), and DID6302 (Didactics of Social Universe in Primary Education), all related to primary teacher education in social sciences.

Troni Y. GrandeView profile

Associate Professor

• Creative Nonfiction
• Shakespeare Studies
• Early-Modern Drama
• +7 more

Troni Y. Grande is Associate Professor and Department Head of the Department of English and Creative Writing in the Faculty of Arts at the University of Regina. With a career spanning from her 1991-1993 SSHRC Postdoctoral Fellowship to current leadership and creative-scholarly output, she bridges rigorous literary analysis with evocative creative practice focused on Ukrainian-Canadian experiences. Her educational foundation includes: PhD from the University of Alberta MA from Queen's University BA (Honours) from Queen's University Dr. Grande's research centers on early-modern drama (Shakespeare/Marlowe), 18th-century literature, and Shakespeare adaptations across diverse media—from Canadian small-town contexts to Japanese manga. Her feminist theoretical framework examines 'she-tragedy' and genre evolution, while her creative writing explores Ukrainian-Canadian settlement narratives through poetry and memoir. This dual scholarly-creative approach reveals how cultural memory shapes identity, particularly in Alberta's prairie communities where her grandmother's legacy informs works like the memoir-in-progress Finding Frozina . Recent publications (2015-2022) demonstrate consistent output across scholarly and creative domains. Her articles analyze Shakespeare reception in Canadian literature and visual media, while her poetry and creative nonfiction excavate Ukrainian-Canadian heritage through intimate lenses like food ('Baba's Pyrogies') and homestead histories ('Beauvallon Homestead'). This interdisciplinary trajectory highlights adaptation as both literary methodology and lived cultural experience. Recognition includes: SSHRC Postdoctoral Fellowship (1991-1993) for 'she-tragedy' research As Department Head, she oversees curriculum development and faculty mentorship while maintaining an active research profile. Her co-edited Northrop Frye's Writings on Shakespeare and the Renaissance (2010) exemplifies scholarly impact, and her creative works demonstrate commitment to community engagement through Saskatchewan Writers' Guild publications. Though specific grant details aren't public, her sustained publication record indicates robust research activity. Operating within humanities traditions rather than laboratory-based research, Dr. Grande contributes through departmental leadership, editorial projects, and creative-scholarly synthesis that connects academic discourse with public humanities through accessible writing on cultural identity.

Amin MalikootikhahView profile

Part-Time Lecturer

• Creative Technologies
• Visual Design
• Interactive Media
• +4 more

Amin Malikootikhah is a Sessional Lecturer in the Faculty of Media, Art, and Performance at the University of Regina, specializing in creative technologies education. His role encompasses teaching, artistic practice, and educational innovation within visual and interactive media disciplines. His academic background includes: Master of Fine Arts in Animation Currently pursuing Master of Fine Arts in Media and Artistic Research (concentration: interactive arts and media) Malikootikhah's work explores technology-creativity intersections through diverse storytelling methods. He specializes in graphic design, animation, and interactive/immersive installations that prioritize emotional audience engagement. His artistic practice directly informs pedagogical approaches, creating experiential learning opportunities that bridge technical skills and creative expression in classroom settings. Key recognitions include: Faculty of Graduate Studies and Research Teaching Prize (University of Regina, 2023) International film festival awards for short animated films Gallery exhibitions of interactive installations worldwide As an educator, he focuses on practical applications of creative technologies through course instruction rather than traditional research supervision. His teaching excellence is evidenced by the 2023 university teaching award, reflecting effective mentorship in visual and interactive arts education. Current work emphasizes developing student capabilities in emerging media technologies through project-based learning.

• 3D Data Visualization
• Computer Graphics
• Human-Computer Interaction
• +1 more

Tim McInerney serves as a Professor in the Department of Computer Science at Toronto Metropolitan University, where he teaches core courses including Computer Graphics and Virtual Reality while leading the Visual Computing Lab (VCL). His academic credentials feature: BASc from University of Toronto (1981) MSc from University of Toronto (1992) PhD from University of Toronto (1997) Research centers on developing innovative approaches in 3D Data Visualization, Computer Graphics, Human-Computer Interaction, and Virtual Reality. His work emphasizes practical applications through the VCL, focusing on immersive visualization techniques and virtual environment design. Prestigious recognition includes: Natural Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Award (1996-1998) Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Award (1992-1994) As an educator, Professor McInerney mentors students through courses like CPS 511 (Computer Graphics) and CPS 643 (Virtual Reality), integrating research from the Visual Computing Lab into curriculum development. The lab provides specialized resources for students pursuing visualization and graphics projects, though specific grant funding details are not publicly documented.

Ihor JunykView profile

Associate Professor

• Modernism and the avant-garde
• War, trauma, memory
• Exile, displacement, diaspora
• +7 more

Ihor Junyk is an Associate Professor of Cultural Studies at Trent University, based at Scott House 204 in Traill College. His academic journey includes a BA Hons. from the University of Western Ontario, an MA from Queen's University, and a PhD from the University of Chicago, complemented by creative writing training at the Humber School for Writers under Peter Carey. Professor Junyk's research spans the modern period from the late eighteenth century to the present, with particular expertise in modernism and the avant-garde , visual culture , and Ukrainian cultural memory . His work examines the complex relationship between cultural artifacts and their historical contexts, with significant contributions to understanding how émigré artists navigated rising nationalism through innovative formal techniques. His book Foreign Modernism: Cosmopolitanism, Identity, and Style in Paris (2013) represents a major contribution to transnational modernist studies. His publication record shows consistent scholarly output across multiple journals including Comparative Literature , Modern Fiction Studies , and Grey Room , with research evolving from studies of Parisian modernism to contemporary examinations of Ukrainian cultural memory and the 'prehistory of new media.' His work demonstrates a sustained interest in how cultural forms respond to political and historical pressures. Current research on 'prehistory of new media' examining 19th century image technologies Ongoing work on memory and nostalgia in Eastern European literature Novel writing project titled Leviathan Professor Junyk's academic profile reflects a commitment to interdisciplinary scholarship that bridges literary studies, visual culture, and cultural history, with growing emphasis on Ukrainian cultural contexts following Russia's invasion of Ukraine.

François RheaultView profile

Assistant Professor

• Medical Imaging
• Neuroimaging
• Scientific Visualization

François Rheault serves as an Assistant Professor in the Department of Computer Science at the University of Sherbrooke, contributing to academic research and instruction within the institution's technical disciplines. His educational background includes: M.Sc. in Computer Science, University of Sherbrooke (2016) Ph.D. in Computer Science, University of Sherbrooke (2020) Postdoctoral Research, Vanderbilt University (2020-2022) Dr. Rheault's research centers on Medical Imaging , where he develops computational methodologies for clinical diagnostics; Neuroimaging , focusing on brain structure and function analysis through advanced imaging; and Scientific Visualization , creating intuitive graphical representations of complex datasets to enhance scientific interpretation. These interconnected fields leverage computer science to address challenges in healthcare and data-driven research. No scientific awards, student advisees, research grants, or laboratory teams were documented in the provided materials.

• Graphic Design
• User Experience (UX) Design
• User Interface (UI) Design
• +9 more

Dr. Heba El-Kamshoushy serves as an Assistant Professor in the Master of Arts in Digital Media and Global Communications program at the University of Niagara Falls Canada, bringing over two decades of combined academic and professional design expertise. Her dual career as an educator and practicing visual designer spans undergraduate and postgraduate teaching, industry projects in branding and wayfinding systems, and internationally recognized research bridging ancient Egyptian art with contemporary digital media. Her academic credentials from Alexandria University form a cohesive trajectory: PhD in Graphic Design and Communication Master of Arts in Graphic Design and Communication Bachelor of Arts in Graphic Design and Communication Dr. El-Kamshoushy's research creates unique intersections between visual design theory, Egyptology, and emerging technologies. She investigates graphical elements in Pharaonic tombs to develop modern design frameworks, pioneers VR applications for reconstructing historical sites, and explores how ancient Egyptian art informs contemporary branding systems. Her work demonstrates how historical visual communication principles can solve modern challenges in user experience design and global communications, particularly through geometric grid systems and color symbolism studies. Analysis of her 2019-2022 publications reveals consistent interdisciplinary innovation, with increasing focus on practical implementations of VR for cultural heritage preservation and cross-cultural design translation. Her conference presentations across Europe and Egypt highlight growing international recognition of her methodology for extracting contemporary design principles from archaeological contexts. Scientific Awards: No documented scientific awards or major fellowships in available records Dr. El-Kamshoushy actively supervises graduate research while maintaining industry collaborations that inform her teaching. Her dual practitioner perspective enables students to develop design solutions that balance theoretical rigor with commercial viability, particularly in culturally informed visual communication projects. She contributes to academic quality through senior reviewing roles and curriculum innovations aligning programs with evolving industry standards in digital media. Though not leading a formally named laboratory, her research group focuses on digital reconstruction of historical sites and development of Egyptology-inspired design systems. Current projects explore AI applications for color reconstruction of Pharaonic monuments and cross-cultural wayfinding solutions for international audiences.

• Photography
• Digital Media
• Graphic Design
• +3 more

Dirk Erkau serves as a Photography Instructor at Emily Carr University of Art and Design, actively teaching undergraduate courses including Commercial Photography (CSPH 203) and Introductory Adobe Illustrator (CSSO 101) for the Fall 2025 semester. His pedagogical expertise spans: Photographic techniques for commercial applications Digital workflow development using Adobe Creative Suite Visual communication principles in contemporary media Technical instruction in imaging software environments Mr. Erkau focuses exclusively on studio-based instruction within ECUAD's creative disciplines, with no documented research awards or scholarly publications. His professional engagement centers on developing practical skills for visual arts students through hands-on technical training and industry-relevant project guidance.