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Stefan C. KremerView profile

Professor

• Machine Learning
• Pattern Induction
• Deep Learning
• +6 more

Stefan C. Kremer is a Professor at the University of Guelph's School of Computer Science, where he has served since 1997. He holds a PhD from the University of Alberta and has led initiatives such as directing the Bioinformatics program (2008-2011) and the School of Computer Science (2011-2016). His research focuses on machine learning, particularly recurrent neural networks and their applications in bioinformatics, ecology, and environmental science. He has pioneered work on transposable elements (TEs) in genomics and developed methods for wildlife monitoring using computer vision. Notable contributions include the President's Distinguished Professor Award (2001-2002) and collaborations on biodiversity analysis and camera trap image processing. Education: Bachelor of Science in Computing and Information Science (University of Guelph), PhD (University of Alberta). Research Interests: Structural pattern recognition, recurrent neural networks, bioinformatics applications (e.g., TEs, DNA analysis), and ecological studies using AI. Key projects include modeling TE activity, wildlife individual re-identification, and computational biology tools for genomic data. Grants & Partnerships: Led projects like the Genome Canada-funded 'Extracting Signal from Noise' (2017-2018). Collaborates with biologists, ecologists, and philosophers to address interdisciplinary challenges. Labs/Teams: Active in cross-disciplinary teams focusing on AI-driven ecological solutions and genomic data analysis.

• Planetary Systems Formation
• Astrophysical Disks Dynamics
• Circumstellar Dust Physics
• +3 more

Pawel Artymowicz is a Professor at the University of Toronto Scarborough (UTSC) focusing on the origin and evolution of planetary systems. His research spans astrophysical disk dynamics, circumstellar dust physics, and binary star interactions. He holds a Ph.D. from the Polish Academy of Science (1990). Research Interests: Artymowicz investigates planetary formation mechanisms, protoplanetary disk evolution, and binary star-disk interactions. He explores topics like irradiation instabilities in accretion disks, gravitational instabilities in gas disks, and the role of turbulence in planetesimal formation. His work bridges theoretical modeling with observational studies using instruments like the Gemini NICI Planet-Finding Campaign. Key Contributions: Artymowicz has pioneered studies on Type III planetary migration, disk-planet interactions, and the dynamics of embedded protoplanets. His research on binary systems' impact on disk structures has advanced understanding of star formation processes. He also explores black hole dynamics and AGN phenomena through disk evolution frameworks. Recent Work Trends: Recent articles highlight advancements in 3D flow simulations around protoplanets, modal analysis of disk instabilities, and direct imaging of substellar companions in young stellar systems. His studies emphasize high-contrast imaging techniques for exoplanet detection and debris disk characterization. Grants & Advising: While specific grants/students aren't listed, his prolific publication record indicates active research leadership. He collaborates on large-scale observing campaigns like the Gemini NICI project, contributing to exoplanet demographics in B/A-type stars. Labs/Teams: Affiliated with the University of Toronto's astronomy department and UTSC's research initiatives, though specific lab names aren't provided. His work integrates theoretical astrophysics with observational astronomy.

Michael JanzenView profile

Associate Professor

• Virtual Camera Selection
• Serious Game Modules
• Camera Trap Image Processing
• +3 more

Dr. Michael Janzen is an Associate Professor in the Department of Computing Science at The King's University. He holds a PhD from the University of Saskatchewan, an M.Sc. from the University of Guelph, and a B.Sc. from Brock University. His research focuses on virtual camera selection using semi-ring constraint satisfaction problems (SCSPs), serious game modules, and camera trap image processing for ecological studies. His work intersects computer science, environmental monitoring, and AI ethics. Education includes: PhD in Computing Science, University of Saskatchewan M.Sc. in Computer and Information Science, University of Guelph B.Sc. in Computers and Physics, Brock University Research interests emphasize practical applications of AI and computational methods in virtual environments, wildlife monitoring, and educational gaming. Recent projects include developing automated systems for wildlife fence design analysis and image screening tools for ecological data. His work bridges theoretical computer science with real-world challenges in conservation and technology ethics.