جست‌وجوی استاد و پژوهشگر

Brian Mitchell Petersمشاهده پروفایل

مدرس پاره‌وقت

• Queer Theory
• Comparative Literature
• Popular Culture Studies
• +۶ مورد دیگر

Dr. Brian Mitchell Peters is a part-time lecturer at Concordia University in the Department of English and Theatre, with research expertise in queer theory, comparative literature, and popular culture. Holding a PhD and MA from Université de Montréal, he specializes in gender studies, youth subcultures, and performance analysis. Education: BA in English Literature and Creative Writing (Concordia University), MA and PhD in English and Comparative Literature (Université de Montréal) His scholarly work investigates queer embodiment in Gothic narratives, focusing on texts like Buffy the Vampire Slayer , Interview with the Vampire , and Dracula . Current research explores queer vampire families as metaphorical frameworks for non-normative parenting. Recent publications include analyses of queer family dynamics in Buffy (2022), camp aesthetics in 1980s pop culture (2017), and gender politics in Call Me By Your Name (2019). He contributes to editorial boards for Queer Studies in Media and Popular Culture and Journal of American Culture . Teaching interests span queer performance, Victorian literature, Shakespearean studies, and creative writing pedagogy. His courses emphasize critical reading, cultural analysis, and anti-oppressive frameworks. Peters also maintains creative practice through novel writing and acting projects.

Benjamin Stephensonمشاهده پروفایل

استاد آموزشی

• Computer Science Education
• Educational Technology
• Curriculum Development
• +۲ مورد دیگر

Benjamin D. Stephenson is a **Teaching Professor** in the **Department of Computer Science** at the **University of Calgary**, within the **Faculty of Science**. His research focuses on **computer science education**, particularly in curriculum design, assessment strategies, and innovative teaching methods. **Education**: Ph.D. in Computer Science, University of Western Ontario (2006) B.S. in Computer Science, University of Western Ontario (2001) **Research Interests**: Stephenson emphasizes practical approaches to improving student learning outcomes in computer science through technologies like automated programming exam systems and coding demonstration videos. He also explores metacognitive strategies via 'exam wrappers' to enhance student self-assessment. **Awards**: 2018 Faculty of Science Educational Leadership Award 2015 Early Career Scholarship Excellence Award 2015 Best Poster Award at the University of Calgary Conference on Postsecondary Learning and Teaching **Teaching**: Coordinates courses such as **CPSC 585 Games Programming**. Advocates for evidence-based teaching practices and contributes to national conferences on computing education.

Suresh Raja Neethirajanمشاهده پروفایل

دانشیار

• Digital Agriculture
• Artificial Intelligence
• Big Data Analytics
• +۱۱ مورد دیگر

Dr. Suresh Raja Neethirajan is an Associate Professor and Dalhousie University Research Chair in the Faculty of Computer Science at Dalhousie University, Halifax, Canada. His research program focuses on digital livestock farming, integrating artificial intelligence, big data analytics, and advanced sensor technologies to improve animal health, welfare, and sustainable agricultural practices. His research interests span Digital Agriculture , Artificial Intelligence , Big Data Analytics , Animal-Computer Interaction , and Sensors & Bio-Instrumentation . He leads the Mooanalytica research lab, which develops innovative tools such as facial recognition systems for emotion detection in cows and pigs, rapid diagnostic sensors for avian influenza and food allergens, and wearable devices for non-invasive physiological monitoring. The recent publications reflect a strong trend in developing AI-driven, sensor-based solutions for precision livestock farming. These include emotion recognition in pigs, sex detection in chicken eggs, and circadian rhythm modeling in dairy cows, all leveraging computer vision, machine learning, and multimodal data fusion to advance animal welfare and farm efficiency. Dalhousie University Research Chair Dr. Neethirajan supervises BSc, MSc, and PhD students and is actively involved in teaching and guest lectures on sensor technologies. His lab has access to state-of-the-art research facilities in the Netherlands and collaborates across veterinary, agricultural, and biomedical domains. He has previously held academic and research positions at Wageningen University, the University of Guelph, Oak Ridge National Laboratory, and the National Agricultural Research Organization in Japan. His team has developed numerous industrial-ready solutions, including on-farm detection tests for ketosis and coronavirus, and is focused on transforming laboratory innovations into practical applications for the agri-food industry. Future work continues to emphasize resilience sensing, data management systems, and non-contact vital sign technologies.

• Live Coding
• Electronic Music
• Media Arts
• +۷ مورد دیگر

David Ogborn is a Professor in McMaster University’s Department of Communication Studies and Media Arts within the Faculty of Humanities. He coordinates the Networked Imagination Laboratory (NIL) and teaches across undergraduate and graduate programs including Media Arts, Communication and New Media, and PhD in Communication, New Media, and Cultural Studies. His work bridges computational arts, live coding, and interdisciplinary research. Education: Not explicitly mentioned Current Appointments: Professor at McMaster University Research focuses on live coding environments, networked musical ensembles, and computational creativity. He has developed platforms like Estuary (collaborative live coding), Seis8s (localized computer-music language), and EspGrid (synchronization protocol). His interests include improvisation in digital settings and software as artistic medium. Recent scholarly activity spans 2012-2022, covering live coding pedagogy, collaborative platforms, and networked music systems. He has secured SSHRC Insight grants and Canada Foundation for Innovation support for NIL. Teaching includes digital audio, game design, and doctoral seminars. The Cybernetic Orchestra (laptop ensemble) remains active since 2010 with global collaborations. Professional contributions include multiple software tools (Estuary, NIL, EspGrid), international performances at live coding festivals, and publications in journals like Computer Music Journal and Journal of Music, Technology and Education . No scientific awards are mentioned in available records.

Manu Madhavمشاهده پروفایل

استادیار

• Neural Circuits
• Spatial Navigation
• Memory Systems
• +۴ مورد دیگر

Manu Madhav is Assistant Professor at the School of Biomedical Engineering, University of British Columbia, and Tier 2 Canada Research Chair in Neural Circuits of Cognition and Control. His research investigates neural circuit mechanisms underlying spatial navigation and memory through rodent electrophysiology and human virtual reality experiments. Research focuses on neural computation of spatial representations, virtual reality paradigms for behavior analysis, neural manifold geometry, and translational applications for Alzheimer's detection. The lab develops novel experimental systems including the Dome VR apparatus for freely locomoting rodents and non-invasive field tracking methods. Recent publications examine path integration recalibration, neural coding strategies, and geometric representations in hippocampal circuits. Field research advances include techniques for tracking electric fish in natural habitats. Tier 2 Canada Research Chair in Neural Circuits of Cognition and Control Leads the Neural Circuits of Cognition and Control Laboratory developing neuroengineering approaches to map cognition. Research combines electrophysiology, virtual reality, computational modeling, and field biology to understand neural algorithms.

Brent Leeمشاهده پروفایل

استاد

• Multimedia Arts
• Music Composition
• Experimental Film Soundtracks
• +۳ مورد دیگر

Brent Lee is a Professor and Acting Dean of the Faculty of Arts, Humanities and Social Sciences at the University of Windsor. He is affiliated with the Department of Music and is a core member of the Noiseborder Ensemble, specializing in multimedia performance and experimental music. His research focuses on interdisciplinary art forms, live audiovisual coding, and the intersection of technology with traditional music composition. Lee has collaborated extensively with institutions like the Windsor Symphony Youth Orchestra and the Leddy Library, producing works such as Homstal and the interactive documentary 130-Year Road Trip . His awards include the 2014 Windsor Endowment for the Arts Award recognizing his contributions to multidisciplinary arts. Notable projects include the experimental film Qausuittuq and the General Brock in Detroit composition, celebrating historical narratives through music. He advises students like David Bergeron, whose works have been premiered by the Windsor Symphony. Lee’s teaching spans composition, sound design, and multimedia performance, reflecting his commitment to innovation in arts education.

Anna Kosovichevaمشاهده پروفایل

استادیار

• Visual Perception
• Spatial Vision
• Eye Movements
• +۴ مورد دیگر

Dr. Anna Kosovicheva is an Assistant Professor in the Department of Psychological and Brain Sciences at the University of Toronto Mississauga (UTM), where she co-directs the Applied Perception and Psychophysics Laboratory (APPLY Lab) with Dr. Benjamin Wolfe. Her research integrates vision science with real-world applications, focusing on spatial vision, binocular vision, and eye movement dynamics. PhD in Psychology, University of California, Berkeley (2015) Postdoctoral Researcher, Northeastern University (2015-2020) Dr. Kosovicheva investigates how individual differences in fundamental visual processes impact real-world perception, including driving safety, digital text readability, and visual impairments like amblyopia and strabismus. Her work employs psychophysical methods, eye tracking, and naturalistic scene analysis to develop novel diagnostic tools and improve human-computer interaction. Recent publications explore the low-prevalence effect in road hazard detection, variable font readability, and peripheral binocular imbalances in amblyopia. Collaborations with Mechanical and Industrial Engineering at UofT demonstrate her interdisciplinary approach. Dr. Kosovicheva has secured multiple research grants, including an NSERC Discovery Grant and sponsored projects with Adobe, focusing on optimizing digital interfaces and understanding visual search efficiency. NEI F32 Postdoctoral Fellowship She supervises graduate students and teaches courses in perception, sensation, and visual cognition. The APPLY Lab team includes postdoctoral fellows, graduate students, and research assistants working on translational vision science applications.

• Cognitive Neuroscience
• Auditory-Motor Learning
• Music Therapy
• +۳ مورد دیگر

Simone DALLA BELLA is a Professor at the Université de Montréal, affiliated with the Faculty of Arts and Sciences and the Department of Psychology. He holds the Canada Research Chair in Music Auditory-Motor Skill Learning and New Technologies. His primary research focuses on cognitive and neural mechanisms underlying musical perception and performance, with a particular emphasis on rhythmic abilities in healthy individuals and clinical populations (e.g., Parkinson’s disease, ADHD). He co-directs the BRAMS laboratory (International Laboratory for Brain, Music and Sound Research) and explores applications of rhythmic and auditory-motor interventions for neurological and movement disorders. Research Interests: Dr. Dalla Bella investigates how rhythmic and temporal predictions influence language processing, motor coordination, and rehabilitation. His work integrates behavioral methods, EEG, motion capture, and wearable technologies to assess and train rhythmic skills. Key areas include: 1) rhythmic deficits in clinical populations, 2) music-based rehabilitation for Parkinson’s disease, 3) neural correlates of auditory-motor synchronization, and 4) cross-modal temporal processing. Key Projects: Recent grants include studies on rhythmic learning in immersive environments, neurostimulation and music effects on mood, and the role of rhythm in speech production. Collaborations involve interdisciplinary teams addressing intersectorial challenges in neuroscience and health. Labs/Teams: Co-director of BRAMS and member of CRBLM (Centre for Research on Brain, Language and Music). His work bridges cognitive neuroscience, audiology, and physical medicine, with applications in neurorehabilitation and motor training.

Sheldon Linمشاهده پروفایل

استاد

• Actuarial Science
• Mathematical Finance
• Applied Probability
• +۲ مورد دیگر

X. Sheldon Lin is a Professor of Actuarial Science at the Department of Statistical Sciences, University of Toronto. His research focuses on actuarial science, specifically in areas like Loss Modelling , Insurance Risk Management , and Financial Insurance . He has authored two influential books in the field: Introductory Stochastic Analysis for Finance and Insurance and Lundberg Approximations for Compound Distributions With Insurance Applications . Research Interests : Actuarial science, mathematical finance, applied probability, loss modeling, insurance risk management, financial insurance, and algorithmic trading. His work includes developing computational models like the GEM-CMM algorithm for fitting Erlang mixture distributions to insurance data and creating R codes for loss modeling. Teaching : Sheldon Lin teaches advanced courses in actuarial science, including ACT452H1S: Loss Models II , where he provides lecture notes, videos, and practice problems for actuarial exams. Scientific Awards ASA (Associate of the Society of Actuaries) ACIA (Associate of the Canadian Institute of Actuaries) Books Authored : Introductory Stochastic Analysis for Finance and Insurance (Wiley Series in Probability and Statistics) Lundberg Approximations for Compound Distributions With Insurance Applications (Lecture Notes in Statistics 156, Springer with Gordon E. Willmot)

Michel Barbeauمشاهده پروفایل

استاد

• Wireless Communications and Networking
• Underwater Communications
• Quantum Communications
• +۴ مورد دیگر

Michel Barbeau is a Professor and Director at the School of Computer Science, Carleton University. He holds a Ph.D. in Computer Science from Université de Montréal (1991) and has held academic roles at Université de Sherbrooke (1991–1999) and a visiting position at the University of Aizu, Japan. His research focuses on non-classical wireless networks, including underwater acoustic communication systems, quantum networks, and resilience assessment of cyber-physical systems. He leads projects involving acoustic signal processing, underwater node communication, and challenges like multipath propagation in aquatic environments. His team tested prototypes in Ottawa’s Rideau Canal. His work spans underwater communication protocols, quantum encryption, and AI-driven network optimization. He is active on YouTube and Twitter, and his ORCID profile highlights interdisciplinary contributions. His research emphasizes practical applications in environmental monitoring, coastal navigation, and secure quantum communication frameworks. Education: Ph.D. Computer Science, Université de Montréal (1991) M.Sc. Computer Science, Université de Montréal (1987) B.Sc. Computer Science, Université de Sherbrooke (1985) Research Interests: Underwater Acoustic Networks Quantum Communications and Cryptography Cyber-Physical Systems Resilience Ad Hoc and Mobile Networks Machine Learning for Network Optimization His current projects address challenges such as signal interference in underwater environments and developing quantum-safe cryptographic algorithms. Collaborations involve interdisciplinary teams of students and researchers. Advancement and Grants: Lead projects on underwater surveillance systems Explores quantum encryption protocols for post-quantum security Investigates AI-driven solutions for UAV and MIMO networks Labs and Teams: His research group focuses on experimental prototyping, including underwater acoustic networks and quantum communication frameworks. Collaborations span academia and industry for real-world applications.

Naser El-Sheimyمشاهده پروفایل

استاد

• Satellite Technologies
• Multi-sensor Systems
• Navigation and Positioning
• +۷ مورد دیگر

Dr. Naser El-Sheimy is a Professor at the University of Calgary's Schulich School of Engineering, Department of Geomatics Engineering, and holds the Tier I Canada Research Chair in Geomatics Multi-Sensor Systems. He is a Fellow of the Canadian Academy of Engineering (CAE) and the US Institute of Navigation (ION). His research focuses on multi-sensor systems, GNSS/INS integration, mobile mapping, and autonomous vehicle navigation. He has published over 500 papers and supervised 100+ students. Education: B.S. (Ain Shams University, 1984), M.S. (Ain Shams University, 1990), Ph.D. (University of Calgary, 1996). Entrepreneurial ventures: Founded Micro Engineering Group and Profound Positioning Inc., instrumental in TECTERRA's establishment. Research expertise includes inertial navigation algorithms, MEMS sensors, and applications in transportation and GIS. Awards include the ASTech Leadership Award and Killam Professorship. His work has advanced navigation technologies for self-driving cars and unmanned systems. Editorial roles: Editor-in-chief of Geomatics Journal, associate editor of ION Navigation Journal, among others. Leadership: Former ISPRS Commission I President (2008-2012).

Andrew Hawryshkewichمشاهده پروفایل

مدرس ارشد

• Multimedia Design
• Interdisciplinarity
• Educational Technology

Andrew Hawryshkewich is a Senior Lecturer and Undergraduate Curriculum Chair at Simon Fraser University's School of Interactive Arts & Technology. His work bridges multimedia design, educational technology, and interdisciplinary approaches, emphasizing practical skills in web, print, sound, and video. He teaches courses like Graphic Design, Information Design, and Web Development, fostering environments where students learn to 'construct what they propose.' His research explores how technology enhances creative education, with a focus on tools that merge design and coding. Hawryshkewich holds a BA in Music and History from Carleton University and an MSc in Interactive Art and Technology from Simon Fraser University. His publications address educational technology and human-computer interaction, particularly in music and programming education for youth. These works reflect a commitment to accessible, hands-on learning tools.

Claude Thibeaultمشاهده پروفایل

استاد

• Microelectronics
• Integrated Circuit Testing and Diagnosis
• Fault Tolerance
• +۶ مورد دیگر

Claude Thibeault is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS), with a Ph.D. from Polytechnique Montréal and a B.Eng. from UQAC. His research focuses on microelectronics , integrated circuit testing , and fault tolerance , particularly in aerospace and FPGA systems. He leads the LaCIME lab, which specializes in communications and microelectronic integration. His work spans radiation effects on circuits , asynchronous design , and test methodologies . Recent publications analyze cosmic radiation impacts on FPGA architectures and knowledge-based diagnostic systems . He supervises numerous graduate students in projects related to hardware acceleration , chaotic communication systems , and power-aware testing . LaCIME emphasizes industry collaboration and technology transfer , with research axes in intelligent systems and connectivity . The lab actively recruits students with backgrounds in electrical or microelectronics engineering.

James Elderمشاهده پروفایل

استاد

• Computer Vision
• Human Vision
• Artificial Intelligence
• +۴ مورد دیگر

James Elder is a Professor at York University, holding a joint Lassonde School of Engineering/Faculty of Health Tier I Chair. He is affiliated with the Centre for Vision Research, the VISTA program, and the Centre for AI & Society. Electrical Engineering & Computer Science Psychology His research integrates computer vision and biological vision studies, focusing on developing algorithms through understanding human visual processing. Key areas include computer vision , 3D shape perception , and AI applications in urban mobility . He leads projects like AttentiveVision and Agile AI-Powered Robotics . Recent publications reveal critical differences between human and AI visual processing, including Monocular Depth Estimation and Shape Frequency Analysis studies. His work has been recognized with the Premier’s Research Excellence Award and Young Investigator Award from the Canadian Image Processing and Pattern Recognition Society. York Research Chair CFI Exceptional Opportunities Grant recipient ORF Research Excellence Grant recipient Professor Elder supervises graduate students including Maria Koshkina, Kumar Vaibhav Jha, and Nizwa Javed. His lab collaborates with institutions like Justus Liebig University Giessen and the Vector Institute for AI, with applications in hockey analytics and autonomous systems .

Ning Zhangمشاهده پروفایل

استاد

• Edge Computing
• Internet of Vehicles (IoV)
• Cybersecurity
• +۷ مورد دیگر

Prof. Ning Zhang is a tenured Professor in the Department of Electrical and Computer Engineering at the University of Windsor's Faculty of Engineering. He holds a Tier 2 Canada Research Chair in Edge Computing and the Internet of Vehicles (since 2022) and has been recognized as a 2024 Clarivate Highly Cited Researcher. His research focuses on edge computing, vehicular networks, cybersecurity, federated learning, and 6G systems. He is affiliated with the Centre for Engineering Innovation, where cutting-edge labs were recently established under his leadership. Dr. Zhang's academic achievements include membership in the Royal Society of Canada's College of New Scholars (2024) and the IEEE Rising Star Award (2021). His work bridges theoretical innovations with practical applications in autonomous systems, digital twin technology, and metaverse infrastructure. He advises students like Pegah Mansourian and Mina Zamanirafe, whose research on automotive cybersecurity won international acclaim. His lab explores edge computing optimizations for low-light video analytics, federated learning frameworks, and secure vehicular communication systems. Key Research Themes: V2X security, digital twins, 6G edge infrastructures, AI-driven network optimization Lab Affiliations: Centre for Engineering Innovation Grants: Canada Research Chairs Program funding, NSERC grants (implied via research outputs)