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Michalis FamelisView profile

Assistant Professor

• Software analysis
• Software design
• Empirical software engineering
• +3 more

Michalis Famelis is an Assistant Professor at the Department of Computer Science and Operations Research , affiliated with the Faculty of Arts and Sciences at Université de Montréal . He leads research in the GEODES Software Engineering Research Group , focusing on formal yet practical methods for software development. His work integrates formal verification, model-driven engineering, and empirical methods to address challenges in software design and uncertainty management. Educated at the University of Toronto (PhD 2016, MSc 2010) and the National Technical University of Athens (DiplEng 2008), he completed a postdoctoral fellowship at the University of British Columbia . He teaches courses such as IFT1025 Programming 2 and IFT6755 Software Analysis . His research projects include a Wellcome Trust-funded platform for climate-sensitive disease modeling and CRSNG grants for formal software design support. He has supervised 6 master’s students, focusing on topics like design uncertainty, API usage verification, and software product lines. Notable collaborations involve Climate-Sensitive Infectious Disease Modelling and Formal Support for Software Design . His work emphasizes improving developer workflows through tool development and empirical studies.

Joshua August SkorburgView profile

Associate Professor

• AI Ethics
• Bioethics
• Neuroethics
• +8 more

Joshua August Skorburg (Gus) is an Associate Professor of Philosophy at the University of Guelph and Co-Academic Director of the Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI). He also serves as a Faculty Affiliate at the One Health Institute. Skorburg joined the University of Guelph in 2020, previously holding roles at Duke University, including Adjunct Professor in the Fuqua School of Business and Postdoctoral Associate at the Kenan Institute for Ethics. Education: PhD in Philosophy, University of Oregon (2013–2017) MA in Philosophy, University of Toledo (2010–2012) BS in Journalism, Southern Illinois University Carbondale (2006–2009) Research Interests: Skorburg’s work spans applied ethics (AI ethics, bioethics, neuroethics, business ethics) and moral psychology (virtue theory, philosophy of cognitive science, experimental philosophy). Current projects focus on the ethical implications of generative AI in healthcare, virtue ethics, and the participatory turn in mental health research. He emphasizes interdisciplinary collaboration, integrating insights from psychology, neuroscience, and organizational behavior. Grants: 2024: MITACS Accelerate Grant ($60,000) for AI reducing clinical documentation burdens 2023–2025: New Frontiers in Research Fund ($250,000) for personalized microbial infection detection 2022–2025: OpenAI Grant ($1,000,000) for predicting moral judgments using AI Labs & Affiliations: Skorburg leads CARE-AI and collaborates with Duke University’s Fuqua School of Business. His research often addresses societal challenges at the intersection of technology, morality, and health.

Martin EsterView profile

Professor

• Data Mining
• Machine Learning
• Causal Discovery
• +3 more

Martin Ester is a Professor of Computing Science at Simon Fraser University (SFU), Canada. He holds a Ph.D. from ETH Zurich (1990) and a Diplom from the University of Dortmund (1984). His research focuses on Data Mining, Machine Learning, Causal Discovery, and Biomedical Applications. He leads the Ester Lab, co-directs the Databases and Data Mining Laboratory, and is part of the Omics Data Science Research Cluster. Education: Ph.D. Computer Science (ETH Zurich), Diplom (University of Dortmund) Lab affiliations: Ester Lab, Databases and Data Mining Laboratory Key research areas: Causal pattern discovery, transfer learning, network analysis, and drug response prediction His work bridges machine learning and biomedical challenges, employing probabilistic graphical models and deep neural networks. Notable achievements include patient stratification algorithms and drug response prediction frameworks. He has advised numerous graduate students, including recent Ph.D. recipients Ali Arab, Amirreza Kazemi, and Mehrdad Mansouri. In 2023, he was named a Fellow of the Royal Society of Canada.

Anders MiltnerView profile

Assistant Professor

• Program Synthesis
• Automated Refactoring
• Automated Verification
• +1 more

Anders Miltner is an Assistant Professor in the School of Computing Science at Simon Fraser University (SFU), specializing in programming languages and automated reasoning. He holds a PhD in Computer Science from Princeton University (2020), an MA in Mathematics from the University of Pennsylvania (2013), and a BSE in Computer Science and Mathematics from the same institution (2013). His research focuses on program synthesis, automated refactoring, and functional programming, aiming to automate tedious aspects of programming to enhance developer productivity. Education: PhD, Computer Science, Princeton University, 2020 MA, Mathematics, University of Pennsylvania, 2013 BSE, Computer Science and Mathematics, University of Pennsylvania, 2013 Research Interests: Program synthesis, automated refactoring, automated verification, and functional programming. He explores how tools can automate programming tasks to allow developers to focus on core algorithms. Projects include Burst (program synthesis), Hanoi (data structure verification), and Type-Directed Refactorings (syntax-independent refactorings). Scientific Awards: NSERC Discovery (2023) NSERC Discovery Launch Supplement (2023) POPL Distinguished Paper Award (2022) PLDI Distinguished Paper Award (2020) Advising & Grants: Mentors PhD students Clement Wan and Ellenor Taghayor, and MSc/undergraduate students. Leads projects funded by NSERC grants and a Microsoft Research fellowship. Serves on conference committees for PLDI, POPL, and others. Labs & Teams: Collaborates on the Hanoi project (representation invariant generation) within the Tangent Lab, involving institutions like UCLA and UT Austin.

Connie KoView profile

Adjunct Professor

• LiDAR Data Processing
• 3D Object Detection
• Geographic Information Systems
• +4 more

Connie Ko is Adjunct Professor in the Faculty of Environmental and Urban Change at York University, where she serves as GIS/Remote Sensing Technician and Research Associate. Her research focuses on advancing LiDAR data processing techniques and developing AI applications for 3D object detection in environmental contexts. Education credentials: PhD in Earth and Space Science & Engineering (York University, 2014) MSc in Geography (York University, 2004) Bachelor in Environmental Science (York University, 2001) Research specializes in: AI-driven LiDAR analysis for environmental mapping 3D object detection methodologies Tree genus classification using geometric features Large-scale dataset creation for machine learning Publications demonstrate consistent focus on LiDAR applications (80% of works), particularly in forestry and hydrological contexts. Recent shift toward AI integration evident since 2018. Authored foundational datasets like YUTO Tree5000 and Yuto Semantic to support geospatial AI development. Teaches GIS/Remote Sensing techniques and mentors students in spatial analysis. Transformed GIS computer lab into collaborative learning hub supporting interdisciplinary environmental research.

Zhenhao LiView profile

Assistant Professor

• Software Engineering
• Artificial Intelligence
• Software Reliability
• +2 more

Zhenhao Li is an Assistant Professor at York University's School of Information Technology specializing in AI-powered software engineering tools. His research focuses on improving software development processes through artificial intelligence, with publications in premier venues including ICSE, ASE, TSE, and TOSEM. Education PhD in Computer Science, Concordia University (2022) BEng in Software Engineering, Harbin Institute of Technology (2017) Research Focus Dr. Li develops innovative AI techniques for software engineering challenges including code generation, program repair, vulnerability detection, and logging optimization. His work integrates machine learning with software development practices to enhance reliability and efficiency. Publication Trends Recent articles demonstrate a consistent focus on large language model applications in software engineering, particularly for code generation, logging optimization, and vulnerability management. Methodologies include empirical studies, tool development, and literature reviews. Awards ACM SIGSOFT Distinguished Paper Award (ICSE 2024) FRQNT Doctoral Research Scholarship

• Behavioral Ecology
• Zoology
• Acoustic Ecology
• +3 more

Hannah ter Hofstede is a Professor at the University of Windsor, contributing expertise in behavioral ecology and sensory systems. Her research focuses on predator-prey interactions, insect communication, and acoustic ecology, with particular attention to bats and orthopterans like katydids and crickets. She explores how environmental factors like wind and predation risks shape communication strategies, employing bioacoustic methods and DNA analysis to study ecological dynamics. Her work spans field studies in Neotropical forests, examining signaling behaviors, herbivory patterns, and defense mechanisms against predators like bats. She also investigates sensory adaptations in moths and bats, using neural modeling to understand predator evasion. Dr. ter Hofstede emphasizes interdisciplinary approaches, integrating machine learning and molecular techniques into ecological research. Her contributions include advancing undergraduate research abroad programs, fostering experiential learning in field biology. Her research has been featured in prominent journals, addressing topics such as bat echolocation, moth defense systems, and the coevolution of communication systems. While her specific academic department at the University of Windsor is not explicitly stated, her affiliations align with the university's science faculty, reflecting her interdisciplinary approach to ecological and evolutionary biology.

Huapeng WuView profile

Professor

• Robotics
• Nuclear Engineering
• Control Systems
• +3 more

Huapeng Wu is a Professor at the University of Windsor specializing in robotics, nuclear engineering, and control systems. His research focuses on advanced robotics for fusion reactor maintenance, remote handling systems, and intelligent control algorithms. He has secured significant funding, including a $383k grant for cybersecurity in autonomous vehicles (2020). Key projects include development of the CFETR remote handling system, deformation modeling of fusion manipulators, and EEG-based human-machine interfaces. Research interests span parallel mechanisms, cognitive load monitoring, and bionic robotics. Notable contributions include: Design of vacuum vessel assembly robots with anti-vibration features Development of neural network-based fault prediction frameworks Integration of digital twin technology for fusion maintenance systems His work combines mechanical engineering principles with AI-driven solutions for complex industrial challenges. Current efforts emphasize improving safety and precision in nuclear fusion environments through innovative robotic systems and predictive modeling.

Sarah GeeView profile

Professor

• Sport Marketing
• Critical Social Science
• Alcohol Sponsorship
• +3 more

Sarah Gee is a Professor in the Faculty of Human Kinetics at the University of Windsor, specializing in sport marketing, alcohol sponsorship, and gender studies in sports. Her work bridges critical social science with practical sports management, focusing on ethical sponsorship, promotional culture, and the societal impact of alcohol in sports. Research interests include cross-disciplinary analysis of sport-alcohol relationships Expert commentary on alcohol sponsorships in major sporting events (e.g., FIFA World Cup) Published extensively on social media strategies for sports branding and public health implications Engages students in community-driven projects like the "Make a Difference" initiative with Windsor’s Downtown Mission Her recent publications span clinical research (e.g., RECOVERY trials) and socio-cultural analyses, highlighting trends in alcohol branding, gender dynamics, and sponsorship ethics. While her medical article collaborations are notable, her core contributions focus on critical sport marketing and public health policy. Students and community partners have benefited from her mentorship, including Sinan Al Najjar and John Rocca in social responsibility projects. Her work emphasizes balancing commercial interests with societal well-being in sports contexts.

• User Studies
• Empirical Software Engineering
• Human-Computer Interaction
• +2 more

Michael Miljanovic is an Assistant Professor in the Faculty of Science at Ontario Tech University. He is affiliated with the Software Engineering and Education Research Lab and focuses on game-based learning in computer science education. PhD in Computer Science (2020), Ontario Tech University M.Sc. in Computer Science (2015), Ontario Tech University B.Sc. in Computer Science (2013), University of Toronto His research spans user studies, empirical software engineering, human-computer interaction, and game-based learning. He develops adaptive serious games to enhance programming education and debugging skills. His publications (2016–2021) center on serious games for computer science education, including adaptive learning frameworks, esports curriculum design, and debugging/programming comprehension tools. Keywords include education, software engineering, computer science, and gamification. No scientific awards explicitly mentioned He has no listed advisees but has collaborated on projects like RoboBUG, Robot ON!, Threaded Paws, and GidgetML. His work emphasizes interactive pedagogical tools.

Katherine DuncanView profile

Associate Professor

• Perception
• Cognition
• Cognitive Neuroscience
• +5 more

Katherine Duncan is an Associate Professor and Associate Chair, Undergraduate in the Department of Psychology at the University of Toronto's St. George campus. Her research focuses on the dynamic neurobiological mechanisms underlying memory formation and retrieval, particularly the interplay between hippocampal networks and neuromodulatory systems. Education: PhD in Psychology from New York University (hippocampal subfield specialization) Postdoctoral Research at Columbia University (hippocampus-dopamine interactions) Undergraduate Alumna of the University of Toronto Research Focus: The Duncan Lab investigates how slow neurochemical fluctuations and brain oscillations (particularly theta rhythms) temporally structure memory processes. Their work explores state-dependent learning, age-related changes in network specialization, and the clinical implications for attention disorders and neurodegenerative conditions. Scientific Recognition: Canada Research Chair renewal Glushko Senior Thesis Award (advised student Tien Yang) Banting Postdoctoral Fellowship (lab alumnus Alexandera Decker) NSERC and Ontario Graduate Scholarships (students Matt, Mila, Ethina Islam) Research Trends: Recent publications emphasize three key areas: 1) attentional modulation of memory encoding across developmental stages, 2) computational approaches to neural state segmentation in fMRI, and 3) rhythmic dynamics in memory acquisition across health and disease. These works bridge basic cognitive neuroscience with translational applications. Laboratory Team: The lab includes graduate students Mila Mac Neil, Thomas, Catalina, and Robyn, with alumni transitioning to prestigious positions like Tien Yang's PhD at the University of Michigan and Sanjivan Loganathan's Masters at Western University's Culham Lab. Dr. Connie Solidate currently contributes as visiting scholar.

Jason PlaksView profile

Professor

• Social Psychology
• Moral Judgment
• Social Cognition
• +4 more

Jason Plaks is a Professor at the University of Toronto specializing in Social and Personality Psychology. His research bridges motivation, social cognition, and moral judgment, with a focus on topics including AI ethics, political ideology, and implicit theories of personality. Key research areas include: Moral judgment processes in human-AI interactions Political psychology linking disgust sensitivity to conservatism Implicit theories of personality and their impact on cognition Neuroscientific analysis of moral and social processing His work spans multiple subfields including behavioral ethics, cognitive neuroscience, and social cognition. The Motivation and Social Cognition Laboratory, which he leads, utilizes EEG technology to explore these phenomena. Notable trends in his recent publications include interdisciplinary approaches to AI ethics, longitudinal studies of political orientation, and applications of implicit theory research to healthcare behavior in aging populations. Professor Plaks maintains active research programs examining the interplay between personality traits and ideological positions, as well as the cognitive mechanisms underlying moral decision-making in both human and artificial contexts.

Ryan T. SchroederView profile

Assistant Professor

• Biomechanics
• Human Locomotion
• Gait Mechanics
• +7 more

Ryan T. Schroeder is an Assistant Professor in the Department of Engineering at Brock University. His office is located in MCD 419, and he can be reached at 905-688-5550 x3502 or rschroeder@brocku.ca. Dr. Schroeder's research focuses on biomechanics and human movement, with particular emphasis on locomotion mechanics and energetics. Dr. Schroeder's educational background includes: 2020-2023: Postdoctoral researcher at the University of Calgary 2015-2020: PhD in Biomedical Engineering from the University of Calgary and Edith Cowan University (cotutelle program) 2013-2014: MS in Mechanical Engineering from the University of Nevada, Las Vegas 2010-2013: BS in Mechanical Engineering from the University of Nevada, Las Vegas (Graduated Magna Cum Laude) Dr. Schroeder's research employs diverse tools and methods to investigate the mechanics and energetics of human locomotion. He uses dynamic optimization models to predict movement patterns based on empirical data to uncover fundamental determinants of walking and running. His work bridges biomechanics, robotics, and rehabilitation science, with insights driving the development of novel rehabilitation strategies and gait-assistive technologies like exoskeletons. His research spans fundamental biomechanical principles to practical applications for improving mobility in both impaired and unimpaired populations. Analysis of Dr. Schroeder's publications reveals a strong focus on human movement optimization, particularly in locomotion. His work consistently examines energy efficiency in various movement contexts, from running and walking to specialized activities like parkour and load carrying. He frequently employs coupled oscillator systems as models for human movement, exploring how mechanical systems can inform our understanding of biological movement. His research shows an evolution from fundamental biomechanical principles to applications in rehabilitation and assistive technology. Dr. Schroeder has received numerous awards and honors throughout his career: Eyes High International Doctoral Scholarship from the University of Calgary Teaching Excellence Nomination from the Faculty of Kinesiology, University of Calgary Biomedical Engineering Research Award from the University of Calgary Eyes High Doctoral Recruitment Scholarship 'Best Highlight Video' Award from the Dynamic Walking Conference Endeavour Research Fellowship from Edith Cowan University Dr. Schroeder has secured multiple research grants including the Eyes High Doctoral Recruitment Scholarship, Biomedical Engineering Equipment Grant, and Nevada NASA Consortium Fellowship. His extensive publication record demonstrates active research mentorship, though specific student names are not provided in the available information. His work shows a clear trajectory from fundamental biomechanical research toward practical applications in human mobility enhancement. Though specific laboratory details are not explicitly provided, Dr. Schroeder's research on human locomotion, gait mechanics, and assistive technologies likely involves biomechanics laboratories equipped for motion capture, force plate analysis, and dynamic modeling. His work with coupled oscillator systems and exoskeletons suggests specialized facilities for human movement analysis and robotic assistance testing.

• Artificial Intelligence
• Internet of Things (IoT)
• Adaptive Interfaces
• +7 more

Dr. Alexis Morris is an Associate Professor in the Digital Futures program at OCAD University's Faculty of Arts & Science, holding a tenured position. He is the director of the Adaptive Context Environments (ACE) Lab and a 2018-2023 Canada Research Chair (Tier II) in the Internet of Things. His research focuses on adaptive systems that integrate fuzzy human factors into socio-technical systems, emphasizing context-aware interfaces in mixed reality environments. Morris' work bridges artificial intelligence, virtual/augmented reality, and IoT to enhance human-machine collaboration, with applications ranging from workplace safety to global family connectivity through mixed reality shared experiences. Education: PhD in Computer Science, University of New Brunswick (2016) European Master of Informatics, University of Edinburgh & University of Trento (2008) Bachelor of Computer Science, Acadia University (2006) Associate of Accounting, University of the Bahamas (2000) Research Interests: Dr. Morris investigates adaptive interfaces, cross-reality systems (XR), and IoT integration to create hyper-connected smart environments. His work emphasizes human-centric design principles, exploring how technologies like mixed reality can address societal challenges such as workplace ergonomics, cultural preservation through augmented museums, and child well-being via educational agents. He also examines legal and ethical frameworks for AI and HRI systems, ensuring compliance with evolving societal needs. Professional Contributions: Member of IEEE and ACM Former Post-doctoral Research Fellow at the University of Toronto's Cognitive Engineering Lab Pioneer in developing frameworks like 'Extended-XRI' and 'ACE' for adaptive systems Labs/Teams: As ACE Lab director, Morris leads interdisciplinary research in IoT-MR convergence, creating tools like MRsive (for museum engagement) and Emissary Educator (for child-focused XR education). The lab also explores cross-cultural artifact representation in museums through AR and policy-as-a-service frameworks for trustworthy AI systems.

• Industrial Engineering
• Systems Engineering
• Engineering Management
• +5 more

Liping Fang is an Associate Professor at the Department of Mechanical Engineering , Ryerson Polytechnic University, and serves as Director of the School of Industrial Engineering . He holds an Adjunct Associate Professor position at the Department of Systems Design Engineering, University of Waterloo. Dr. Fang's research spans Industrial Engineering , Systems Engineering , and Decision Support Systems , focusing on multi-participant conflict resolution , risk analysis , and reliability engineering . His work has been supported by government and industry grants, culminating in over 40 publications, including a seminal book on the Graph Model for Conflict Resolution and contributions to journals like IEEE Transactions on Systems, Man, and Cybernetics and Automatica . His 15 most recent publications (1999-1993) include analyses of strategic decision support , environmental regulation enforcement , and game-theoretic coalition formation , alongside system design frameworks for disaster risk management and negotiation processes . Despite his extensive contributions, specific scientific awards are not mentioned in the texts.