جست‌وجوی استاد و پژوهشگر

Ingrid E. Sladeczekمشاهده پروفایل

دانشیار

• Child Development
• Autism Spectrum Disorders
• Early Intervention
• +۶ مورد دیگر

Dr. Ingrid E. Sladeczek is an Associate Professor at McGill University's Department of Educational and Counselling Psychology within the Faculty of Education. She serves as Co-Director of the Institute for Human Development and Well-Being (IHDW). Her research focuses on interventions for vulnerable populations, including families and children with developmental disabilities, autism, intellectual disabilities, and learning challenges. She has held academic roles since at least 1996, supervising students in Master's programs in School/Applied Child Psychology and Human Development. Dr. Sladeczek's educational background includes a Ph.D. in Respecialization from the University of Wisconsin-Madison and multiple degrees from the University of Arizona. Her work is funded by agencies such as the Social Sciences and Humanities Research Council, Max Bell Foundation, and Canadian Institutes of Health Research. Key areas of research include early intervention policies, STEM education for students with disabilities, and affective computing technologies to support therapy. Her research emphasizes longitudinal analyses of service delivery models, parental stress, and policy impacts on families with children with disabilities. She has collaborated on over 50 publications, spanning topics from behavioral interventions to educational policy. Dr. Sladeczek’s lab (sladeczeklab.com) explores innovative solutions for neurodevelopmental challenges, integrating technology and behavioral strategies. Her contributions extend to professional development workshops and international conferences on bullying policies and inclusive education.

Irina Rishمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Neuroscience
• +۹ مورد دیگر

Irina Rish is a Full Professor at the University of Montreal's Department of Computer Science and Operations Research and a core member of Mila – Quebec AI Institute. She holds the Canada Excellence Research Chair in Autonomous Artificial Intelligence and a CIFAR AI Chair. Her research focuses on machine learning, neural data analysis, and neuroscience-inspired AI. She leads the Autonomous AI Lab and has contributed to projects like the Covi contact-tracing app during the pandemic. Education: MSc and PhD in AI from University of California, Irvine; MSc in Applied Mathematics from Moscow Gubkin Institute. Awards include multiple IBM accolades and prestigious editorial roles (e.g., IEEE TPAMI Associate Editor). Research Interests: Continual Learning, Deep Learning, Sparse Modeling, Reinforcement Learning, Neuroimaging Analysis Affiliations: MILA, CIRCA (Brain and Learning Research Center), Canada Excellence Research Chair Publications span over 120 papers, 64 patents, and books on sparse modeling. Collaborates with industry leaders like IBM, Microsoft, and Samsung. Grants: Leads U.S. Department of Energy’s INCITE project on scalable foundation models. Advises over 30 students in AI and neuroscience-related fields. Labs/Teams: Directs the Autonomous AI Lab at Mila, co-founded Nolano.ai as CSO.

• Health Information Systems
• Healthcare Technology Management
• Healthcare Organization
• +۳ مورد دیگر

Claude Sicotte is an Associate Professor in the Department of Management, Evaluation and Health Policy at the School of Public Health, Université de Montréal. He also holds an honorary professorship in the same department and is an affiliated researcher in Management Sciences at the EHESP School of Public Health in France. He has extensive experience in healthcare management and policy, with a focus on the implementation of health information technologies and their impact on clinical practices and healthcare systems. Education Bachelor of Business Administration, HEC Montréal (1974) M.Sc. in Health Administration, Université de Montréal (1976) Ph.D. in Public Health (Healthcare Organization), Université de Montréal (1989) Postdoctoral Studies, Department of Health Policy and Management, Harvard University (1990) Research Interests Dr. Sicotte’s research focuses on strategies for introducing health information technologies (HIT) in healthcare organizations, evaluating their impact on professional practices, organizational structures, and healthcare performance. He also explores the use of shared electronic patient records across healthcare institutions and their role in transforming primary and hospital care. Publications & Contributions His work spans telemedicine, electronic prescribing systems, and health information exchange, with publications in journals like International Journal of Environmental Research and Public Health , BMC Public Health , and Journal of the American Medical Informatics Association . His recent studies highlight innovations in global health strategies and pediatric telepractice. Awards & Affiliations He is a member of the Quebec Network for Public Health Research (RRSPQ), holds the Chair in « Prospective en Santé » at EHESP (since 2017), and serves on editorial boards for Healthcare Policy (Canada) and Journal de gestion et d’économie médicales (France). Advising & Grants Dr. Sicotte has supervised multiple doctoral and master’s students, focusing on topics like telemedicine in remote areas, healthcare performance evaluation, and organizational collaboration. His research has been supported by grants from various institutions, including the Canadian Institutes of Health Research (CIHR) and strategic initiatives at Université de Montréal. Labs & Teams He collaborates with the Institut du Management (IdM) at EHESP and the Harvard University’s Department of Health Policy and Management, contributing to interdisciplinary teams advancing healthcare innovation and policy.

Yong Zengمشاهده پروفایل

استاد

• Innovative Design
• Creative Design
• Cognitive Science
• +۳ مورد دیگر

Professor Yong Zeng is a faculty member at the Concordia Institute for Information Systems Engineering , Concordia University, currently on sabbatical until June 30, 2026. His academic career spans institutions including the National Research Council of Canada and Dalian University of Technology, with dual PhD degrees in Design Engineering (University of Calgary, 2001) and Computational Mechanics (Dalian University of Technology, 1992). Research focuses on Environment-Based Design theory , neurocognitive models of creativity, and interdisciplinary applications of linguistics in design Editorial roles: Former Editor-in-Chief of Journal of Integrated Design and Process Science (2012-2019), current Associate Editor for AI EDAM and Journal of Engineering Design Industry collaborations: Aerospace, healthcare, medical devices, construction, and municipal sectors Scientific Awards : NSERC Chair in Aerospace Design Engineering (2015-2019) Canada Research Chair (Tier II) in Design Science (2004-2014)

Kari-Lynn Wintersمشاهده پروفایل

استاد

• Embodied Pedagogies
• Authorship as Assemblage
• Body Image
• +۷ مورد دیگر

Dr. Kari-Lynn Winters is a Professor in the Department of Educational Studies at Brock University’s Faculty of Education. She specializes in drama-in-education, dance-in-education, and language arts, with a focus on embodied pedagogies, children’s literature, and multimodal literacies. She holds a PhD from UBC in literacy education and arts, alongside degrees from the University of Toronto and the National Theatre School of Canada. Her research explores authorship as assemblage, body image, and the integration of arts into education. Winters has contributed to numerous academic publications and co-edited volumes on topics such as intercultural mentorship, equitable education during crises, and STEAM integration. She is also an award-winning children’s author, playwright, and performer, with books like On my Bike and Hungry for Science: Poems to Crunch On . Winters has secured grants for projects like Painting on the Walls of the Cave (focusing on intercultural understandings through artistry) and Mapping Futures (arts-based literacy approaches). She teaches courses such as PJI Drama Education and PJ Language Arts, emphasizing experiential learning. Her professional affiliations include the Ontario College of Teachers and the Canadian Children’s Book Centre. Her work bridges education, creativity, and community engagement, advocating for inclusive and embodied learning practices. Recent initiatives include collaborations with Indigenous communities and projects addressing mental health through the arts.

Rahul Kumarمشاهده پروفایل

استادیار

• Artificial Intelligence in Education
• Academic Integrity
• Higher Education Trends
• +۴ مورد دیگر

Dr. Rahul Kumar is an Assistant Professor in the Department of Educational Studies at Brock University , located in St. Catharines, Ontario. His work focuses on the transformative impact of generative AI (GenAI) on education, particularly addressing challenges to academic integrity in higher education and K-12 settings. He also examines the evolving roles of faculty members within universities. Dr. Kumar’s research integrates themes such as international education, trends in higher education governance, and ethical decision-making in academic administration. He holds professional affiliations with organizations including the Canadian Association for the Study of Educational Administration (CASEA), the International Center for Academic Integrity (ICAI), and the International Artificial Intelligence in Education Society (IAIED). Research Interests: GenAI’s disruption of traditional educational practices Ethical implications of AI in grading and assessment Academic freedom and institutional governance Policy analysis for international education programs Invitational education principles in digital spaces His recent work emphasizes the 'postplagiarism' era, exploring how educators and institutions adapt to AI-generated content. He has published widely on AI ethics, academic integrity frameworks, and the future of higher education.

Réal Royمشاهده پروفایل

استادیار

• Ecology of Bacteria and Archaea
• Microbial Communities
• Nitrogen and Methane Cycles
• +۳ مورد دیگر

Réal Roy is an Assistant Professor in the Biology Department at the University of Victoria. His research focuses on microbial ecology, particularly the roles of bacteria in nutrient cycles (nitrogen/methane) and their interactions with human societies. He employs molecular genetics, microbiology, and analytical chemistry to study microorganisms in natural and anthropogenic environments. His work spans ecological and sociocultural domains: investigating microbial communities in forest soils and sediments while also analyzing vaccine hesitancy's cultural roots in Canada. He teaches courses on molecular biology, nutrient cycling, and human microbial diseases, bridging basic science with applied health topics. Key research themes include: bacterial contributions to ecosystem processes, historical medical practices affecting modern vaccination behaviors, and the interplay between microbial activity and environmental variables like temperature. His publications address both fundamental microbiological mechanisms and societal challenges in public health. Dr. Roy collaborates across disciplines, combining ecological fieldwork with sociocultural analysis. His work emphasizes practical applications such as methane mitigation strategies and improving public health communication about vaccines.

• Revenue Management
• Retail Operations
• Customer Choice Modeling
• +۵ مورد دیگر

Guang Li is an Assistant Professor of Management Science and a Scotiabank Scholar at the Smith School of Business, Queen's University. Her research focuses on revenue management, customer choice modeling, and intersections between operations management and marketing, accounting, and finance. She has been funded by NSERC and published in top journals like Operations Research and Manufacturing & Service Operations Management . Education: Ph.D. in Operations Management (2016) – University of Southern California M.Eng. in Materials Science and Engineering (2008) – MIT M.Sc. in Advanced Materials (2008) – National University of Singapore B.Eng. in Materials Engineering (2007) – Nanyang Technological University Research Interests: Guang’s work spans revenue optimization, retail operations, strategic pricing, and sustainability. She employs discrete choice models, NLP, and data analytics to address challenges in supply chains, consumer behavior, and social media impact on mental health. Articles Trends: Recent studies (2023–2025) highlight strategic pricing under consumer learning, remanufacturing technology portfolios, and pandemic-driven retail shifts. Earlier work (2015–2018) explores nested logit models and charitable inventory planning. Awards: Scotiabank Scholar (Queen’s University) Advising & Grants: Funded by NSERC, her projects address retail resilience, customer choice dynamics, and eco-friendly operations. No advisee names are listed in the provided texts. Affiliations: Cross-appointed at the Scotiabank Centre for Customer Analytics, Queen’s University.

Karen Rudieمشاهده پروفایل

استاد

• Discrete-event systems
• Supervisory control
• Security and secrecy
• +۳ مورد دیگر

**Karen Rudie** is a Professor and Interim Director in the Department of Electrical and Computer Engineering at Queen's University, Canada. She holds a cross-appointment to the School of Computing and is affiliated with the Ingenuity Labs Research Institute. Her expertise lies in supervisory control of discrete-event systems, security, and secrecy protocols. Rudie earned her Ph.D. from the University of Toronto and has held visiting roles at the University of Michigan. She leads the Queen’s Discrete-Event Systems Lab (QDES), focusing on theoretical and applied research in control systems. **Education**: Ph.D. in Systems Control (University of Toronto, 1992), Postdoctoral Researcher at the Institute for Mathematics and Its Applications (1992-1993). **Research Interests**: Discrete-event systems, supervisory control theory, security mechanisms, and applications to industrial automation. Her work bridges theoretical foundations with practical implementations in manufacturing, healthcare, and cybersecurity. **Awards**: IEEE Fellow (2018), multiple Queen's Golden Apple Teaching Awards, and recognition as a 'Popular Prof' in Maclean's (2001-2005). She is a registered Professional Engineer in Ontario. **Grants & Leadership**: Editor of the Journal of Discrete Event Dynamic Systems, former IEEE Control Systems Society Board member, and frequent conference committee member (CDC, ACC, WODES). Her lab develops tools like IDES for discrete-event system modeling. **Lab & Teams**: Directs the QDES Lab, advancing methodologies for system control and security. Her group collaborates on projects like decentralized control architectures and cyber-physical system resilience.

Cyrus Nearyمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Reinforcement Learning
• +۵ مورد دیگر

Cyrus Neary is an incoming tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at the University of British Columbia (UBC), where he will direct the Artificial Intelligence in Robotics & Engineering (AIRE) Lab. Previously, he was a postdoctoral researcher at Mila (Québec AI Institute) and l’Université de Montréal. His research bridges AI system engineering and engineering applications, focusing on compositional design, physics-informed learning, and reliable autonomous systems. He holds a Ph.D. and M.Sc. in Computational Science from The University of Texas at Austin’s Oden Institute, and a Bachelors of Applied Science in Engineering Physics from UBC. Education : Ph.D. in Computational Science (2024), University of Texas at Austin M.Sc. in Computational Science (2021), University of Texas at Austin B.A.Sc. in Engineering Physics (Honors Mathematics minor), University of British Columbia (2019) Research Focus : Developing AI systems that integrate engineering principles and physics-based knowledge for control, robotics, and autonomy. Key areas include multiagent reinforcement learning, physics-informed neural networks, and compositional system design. His work emphasizes reliability, certification, and efficient data utilization in high-stakes applications. Lab & Opportunities : The AIRE Lab at UBC seeks students (MASc/PhD) to explore AI-robotics intersections. Application deadlines are Jan 15, 2025, with priority given to early submissions (Dec 31, 2024).

• Software Engineering
• Operating Systems
• Reinforcement Learning
• +۳ مورد دیگر

Tavian Barnes is a Sessional Lecturer at the University of Waterloo. Their research focuses on software engineering diversity, operating system design, and reinforcement learning applications in AI environments. Research interests include addressing barriers for non-traditional software engineers, optimizing single-level store systems, and developing text-based game frameworks for AI training. Recent work explores hybrid reward architectures to improve reinforcement learning efficacy. Publications span from foundational operating system research (Aurora OS projects) to AI environments (Textworld) and workforce inclusion studies. No scientific awards are explicitly listed. No advising or grant details are available. No lab affiliations are mentioned in the provided texts.

Derek Raysideمشاهده پروفایل

دانشیار

• Autonomous Systems
• Software Engineering
• Formal Methods
• +۳ مورد دیگر

Derek Rayside is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, and serves as Associate Dean for Co-operative Education and Professional Affairs. His research spans autonomous systems, software engineering, formal methods, and construction project management. He holds a faculty position in a top-tier engineering program with affiliations to both academic and administrative roles at the university. Research interests include advancing autonomous vehicle decision-making through reinforcement learning and computer vision techniques, improving software development methodologies via formal verification and collaborative platforms, and enhancing project management practices in complex construction environments. His work integrates interdisciplinary approaches combining control theory, machine learning, and social network analysis. Recent publications focus on autonomous driving challenges (action recognition, intersection navigation), software engineering education (game-based learning), and formal methods for system validation. His contributions bridge theoretical advancements with practical applications in safety-critical systems and industrial workflows. Teaching responsibilities include the ECE351 course on signals and systems. He has led curriculum development efforts and maintains a personal research website at the University of Waterloo's ECE department.

Jeffrey Negreaمشاهده پروفایل

استادیار

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

Jeffrey Negrea is an Assistant Professor at the University of Waterloo. His research focuses on foundational aspects of machine learning, statistics, and optimization, with a particular emphasis on stochastic algorithms, Markov chain theory, and adversarial analysis. His work bridges theoretical computer science and applied statistics, addressing challenges in algorithmic convergence, generalization bounds, and scalable inference methods. Key research directions include developing robust methods for online learning, analyzing stochastic iterative algorithms through scaling limits, and exploring the interplay between information theory and machine learning generalization. He has contributed to advancements in Thompson Sampling for adversarial environments, minimax regret optimization, and the theoretical underpinnings of MCMC and approximate inference techniques. His publications span topics from adversarial analysis of Thompson Sampling to quantitative error bounds for stochastic processes. While no formal awards or grants are explicitly listed in the provided data, his active publication record reflects ongoing contributions to computational statistics and machine learning theory. No student advising or lab affiliations are mentioned in the available information.

• Temporal Databases
• Query Languages
• Embedded Control Systems
• +۴ مورد دیگر

David Toman is an Assistant (later Associate) Professor in the Department of Computer Science at the University of Waterloo, part of the Faculty of Mathematics. His research focuses on temporal databases, query languages, embedded control systems, semi-structured data (XML), finite model theory, and programming language implementation. He holds a PhD from Kansas State University (1996) and an MS (MGr.) from Masaryk University (1992). Toman has held roles including Visiting Professor at BRICS, Aarhus University, and postdoctoral fellowships at the University of Toronto. His work includes over 40 refereed publications and contributions to projects funded by CITO, CFI, and NSERC. Awards include the NSERC/NATO Postdoctoral Fellowship and multiple summer school fellowships. Education: PhD in Computer Science, Kansas State University (1996) MS (MGr.) in Computer Science, Masaryk University (1992) Research Interests: Temporal databases and query languages Query processing in embedded control systems XML and semi-structured data management Finite model theory and formal methods Programming language implementation Grants & Awards: CITO Project: Text Indexing for Data Warehouses (CDN$143,000) CFI/OIT: Software Technology for Embedded Control Programs (CDN$705,000) NSERC Individual Research Grant (CDN$84,000) Key Contributions: Developed temporal extensions of SQL and query optimization techniques Contributed to description logics and duplicate elimination in databases Published widely in venues like ACM TODS, IEEE TKDE, and EDBT

• Cognitive Neuroscience
• Auditory Science
• Artificial Intelligence
• +۸ مورد دیگر

Dr. Zahra Jafari is an Assistant Professor at Dalhousie University's School of Communication Sciences and Disorders. Her research bridges cognitive neuroscience, auditory science, and artificial intelligence, with a focus on healthy aging, dementia biomarkers, and AI applications in healthcare. She holds multidisciplinary training including PhDs in Rehabilitation Sciences (University of Ottawa) and Cognitive Neuroscience (University of Tabriz), alongside clinical audiology qualifications from Tehran University of Medical Sciences. Her work investigates auditory processing deficits in aging populations, cognitive decline mechanisms, and the impact of environmental factors like air pollution and noise exposure. She leads the CANLab, fostering interdisciplinary research collaborations and supervising graduate students in audiology and speech-language pathology. Teaching responsibilities include courses on advanced audiological diagnostics and cochlear implant technologies. Recent research highlights include machine learning models predicting tinnitus outcomes, systematic reviews linking air pollution to frailty, and studies on bilingualism's cognitive benefits. Dr. Jafari's lab actively explores neuroplasticity in multilingual individuals and Alzheimer's disease interventions using animal models. Her publications span high-impact journals in neuroscience, audiology, and gerontology, reflecting her commitment to translating basic science discoveries into clinical applications. Current projects emphasize leveraging AI for early dementia detection and optimizing cochlear implant outcomes in pediatric populations.