Find Academic Supervisors

Jonathan BrittView profile

Associate Professor

• Behavioral Neuroscience
• Addiction
• Drug Addiction
• +5 more

Jonathan Britt is an Associate Professor in the Department of Psychology at McGill University, affiliated with the Faculty of Science. He leads the Britt Lab, focusing on neural circuitry underlying motivated behaviors, particularly in the context of addiction and neuropsychiatric disorders. His work combines optogenetics, electrophysiology, and behavioral tasks to study the basal ganglia's role in reinforcement learning and compulsive behavior. Research interests include the neural mechanisms of drug addiction, Tourette’s Syndrome, and obsessive-compulsive disorder, with a focus on dopamine pathways and synaptic modifications. Key methodologies involve all-optical approaches and optogenetic interrogation of neural circuits. His recent studies highlight topics like alcohol palatability, serotonergic regulation of attention, and LSD’s effects on social behavior. Articles often explore the nucleus accumbens and hippocampal interactions in reward processing. No scientific awards are explicitly listed, though his contributions to addiction neuroscience are notable. He advises no listed students and has no mentioned grants in the provided text. The Britt Lab serves as a central hub for his research activities.

Leonie BaumannView profile

Assistant Professor

• Economic Theory
• Networks
• Mechanism Design
• +1 more

Dr. Leonie Baumann is an Assistant Professor in the Department of Economics at McGill University, specializing in Economic Theory, Networks, Mechanism Design, and Game Theory. She holds a Ph.D. (summa cum laude) and M.Sc. in Economics from the University of Hamburg, and dual B.A. degrees from the University of Siegen. Currently on maternity leave, Dr. Baumann previously served as a Postdoctoral Research Associate at the University of Cambridge. Her research explores social interactions in microeconomic theory, with a focus on network formation dynamics, strategic evidence disclosure, and robust implementation mechanisms. Recent work examines how network structures influence economic decision-making and resource allocation. Dr. Baumann's publications demonstrate consistent focus on network economics and game-theoretic modeling, with emerging applications in discrimination mechanisms and evidence disclosure. Her methodological approaches combine theoretical rigor with computational innovations. Awards & Recognition: Vice-Chancellor's Innovation Award (2020) Econometric Society Travel Grant (2015) Multiple research grants including SSHRC and FQRSC funding Supervision & Service: Currently advising 4 doctoral students on topics ranging from biosolvent characterization to indoor air quality Active editorial board member for Journal of Mathematical Economics Organizes international conferences on economic theory

Vasiliki KantereView profile

Professor

• Big Data Management
• Big Data Analytics
• Machine Learning
• +9 more

Dr. Vasiliki Kantere is a Professor at the School of Electrical Engineering and Computer Science within the Faculty of Engineering at the University of Ottawa . She has held previous academic positions, including: Senior Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens Maître d’Enseignement et de Recherche and Maître Assistante at the University of Geneva Junior Assistant Professor at the Department of Electrical Engineering and Information Technology, Cyprus University of Technology Postdoctoral Researcher at the École Polytechnique Fédérale de Lausanne Her research interests span a wide range of interdisciplinary domains, including: Big Data Management: data storage optimization, analytics workflows, and deployment on hybrid infrastructures Big Data Analytics: support for users of varying expertise and large data graphs Machine Learning: applications in resource management and query optimization Cloud Computing: cost-aware data management and service-level agreements P2P Systems: query processing and mobile peer environments Semantic Web: ontology mapping and semantic integration Distributed Systems: federated databases and grid computing Databases: query languages and semi-structured data management General: spatial data, privacy and security, and sensor networks No academic awards, funded grants, or advising roles are explicitly listed in the provided information. Her professional contributions are reflected through her extensive research collaborations and diverse academic experiences. The text does not mention any affiliated research labs or teams.

Behrouz FarView profile

Professor

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +5 more

Behrouz Far is a Professor at the University of Calgary’s Schulich School of Engineering, Department of Electrical and Software Engineering. He holds a PhD in Artificial Intelligence from Chiba University, Japan (1990) and degrees from the University of Teheran including a B.S. in Electrical Engineering (1983) and M.S. in Electrical Engineering (1986). His research focuses on AI applications in medical imaging, software engineering, transportation systems, and data mining. He has contributed to advancements in fundus image analysis, deep learning models for disease detection, and intelligent traffic management systems. Dr. Far has received notable awards such as the 2017 SSE Achievement Award and the AITF-AMA Tier-2 Chair in Smart Multimodal Transportation Systems (2013). His work bridges theoretical AI with practical healthcare solutions, including tools like LETTA for traffic management systems and methodologies for detecting ocular lesions using CNNs. He teaches courses on software testing, reliability engineering, and agent-based systems. His publications highlight contributions to medical diagnostics (e.g., choroidal nevi classification), transportation optimization (e.g., real-time traffic signal control), and machine learning explainability. Collaborative research includes projects on biopotentiostat biosensors for SARS-CoV-2 detection and data mining for cancer patient stratification.

Kyle O'KeefeView profile

Professor

• Global Navigation Satellite Systems (GNSS)
• Indoor Positioning and Navigation
• Ultra-wideband Ranging
• +6 more

Kyle O'Keefe is a Professor in the Department of Geomatics Engineering at the University of Calgary's Schulich School of Engineering. He holds dual B.Sc. degrees in Geomatics Engineering (University of Calgary, 2000) and Honours Physics (University of British Columbia, 1997), and a Ph.D. in Geomatics Engineering (University of Calgary, 2004). He is a Professional Engineer (P.Eng.) registered with the Association of Professional Engineers and Geoscientists of Alberta since 2005. His research focuses on positioning and navigation technologies, including Global Navigation Satellite Systems (GNSS) advancements Ultra-wideband (UWB) ranging for vehicle/pedestrian navigation Indoor positioning using wireless signals Wearable sensor integration for biomechanics and navigation GNSS spoofing detection and cybersecurity Notable projects include: Development of UWB-augmented GNSS for RTK surveying (2007–present) Wearable sensor systems for rowing/kayaking motion analysis (2017–present) CanX-2 nanosatellite GPS receiver operations (2008) Igliniit project with Inuit hunters for Arctic environmental monitoring (2006–2009) Multi-constellation GNSS evaluation across 20+ years He has received prestigious awards including the Michael Richey Medal (2011) and multiple Best Paper Awards at IPIN and ION conferences. His teaching includes courses like Advanced GNSS Theory and Wireless Location. Active in professional organizations, he co-edits special journal issues and advises industry on emerging navigation technologies.

Qingye LuView profile

Associate Professor

• Bioadhesion
• Colloid and Interfacial Chemistry
• Nanomaterials/Nanotechnology
• +6 more

Dr. Qingye Lu is an Associate Professor in the Department of Chemical and Petroleum Engineering at the University of Calgary. Her research focuses on bioadhesion, colloid and interfacial chemistry, nanomaterials, and their applications in environmental and energy systems. She holds a PhD in Analytical Chemistry from the University of Alberta and has postdoctoral training in Civil and Environmental Engineering and Chemical and Materials Engineering. She leads the Laboratory of Interfacial Science and Advanced Materials (LISAM), developing advanced materials for sustainability, energy, and environmental challenges. Education: PhD in Analytical Chemistry, University of Alberta MSc in Physical Chemistry, Wuhan University BSc in Chemistry, Wuhan University Research Interests: Bioinspired materials for CO2 capture and oil/water separation Interfacial science in energy systems (e.g., solar evaporation, fuel cells) Environmental applications: wastewater treatment, heavy metal adsorption Awards: Early Career Research Excellence Award (2020) Queen Elizabeth II Graduate Scholarship (2008–2009) Advising: Seeks motivated Master’s and PhD students across disciplines. Labs: LISAM Lab focuses on interfacial science and advanced materials for energy and environment.

Carolyn BuchwaldView profile

Associate Professor

• Biogeochemistry
• Marine Chemistry
• Geochemistry
• +4 more

Carolyn Buchwald is an Associate Professor in the Department of Oceanography at Dalhousie University, Faculty of Science. Her research focuses on marine biogeochemistry, particularly nitrogen cycling and stable isotope analysis. She leads the Buchwald Lab, exploring microbial processes and anthropogenic impacts on coastal and open ocean ecosystems. Education: SB in Earth, Atmospheric, and Planetary Sciences (MIT) and PhD in Chemical Oceanography (MIT/Woods Hole Oceanographic Institution Joint Program). She teaches courses including Chemical Oceanography (OCEA3002, OCEA5290) and Honours Research (OCEA4201/4202). Research interests include nitrogen transformation pathways, nitrate/nitrite isotope dynamics, and the role of microbes in nutrient cycling. Her work spans coastal systems to the Arctic and tropical oceans, addressing climate impacts and pollution effects. Publications highlight innovations in isotopic tracing, nitrification processes, and nitrogen loss mechanisms. Collaborations emphasize interdisciplinary approaches, integrating fieldwork, lab experiments, and modeling.

Martin ReaneyView profile

Professor

• Food Science
• Bioengineering
• Lipid Chemistry
• +3 more

Martin Reaney is a Professor and Ministry of Agriculture Strategic Research Program (SRP) Chair in Lipid Quality and Utilization at the University of Saskatchewan's Department of Food and Bioproduct Sciences, within the College of Agriculture and Bioresources. His research focuses on lipid chemistry, sustainable agriculture, and food technology, particularly in biodiesel production, flaxseed bioactives, and novel food products. Key research interests include optimizing lipid quality through refining techniques (e.g., electrostatic field processing, enzymatic degumming), developing functional food ingredients (e.g., aquafaba-based emulsifiers, flaxseed-derived peptides), and enhancing biofuel production. His work bridges agricultural innovation with industrial applications, emphasizing sustainability and nutritional value. Key Projects: Biodiesel optimization, flaxseed lignan extraction, cyanogenic glycoside removal in flaxseed through fermentation, and electrostatic refining of crude oils. Lab/Affiliations: SRP Chair in Lipid Quality & Utilization, affiliated with the University of Saskatchewan's Ministry of Agriculture initiatives. Contact: martin.reaney@usask.ca | 6E02 Agriculture Building. Publications span lipid processing, food safety, and nutraceutical development, with a focus on interdisciplinary approaches to address global food and energy challenges.

Cristiano PolitowskiView profile

Assistant Professor

• Software Engineering
• Video Game Development
• Artificial Intelligence for Software Engineering (AI4SE)
• +3 more

Cristiano Politowski is an Assistant Professor in the Department of Computer Science at Ontario Tech University's Faculty of Science. His research focuses on software engineering for video games, automated testing, AI4SE, and empirical studies. He holds a Ph.D. in Software Engineering from Concordia University (2022), an M.Sc. in Computer Science from Universidade Federal de Santa Maria (2017), and a B.Sc. in Computer Science from Universidade Regional do Estado do Rio Grande do Sul (2014). Prof. Politowski has extensive postdoctoral experience at Université de Montréal (GEODES group) and École de Technologie Supérieure (ÉTS), focusing on game engine architecture, requirements specification, and certifiable RTOS systems. He has organized workshops like ASE4Games 2021/2022 and FaSE4Games 2024, emphasizing game software engineering. His research interests span video game development challenges, software testing methodologies, and leveraging AI for software engineering. Notable projects include analyzing game engine subsystem coupling, assessing video game balance with autonomous agents, and curating datasets like PlayMyData. Prof. Politowski has secured $20K from MITACS for a 5G infrastructure project during the pandemic and received the Concordia Accelerator Award (2021). His work has been published in venues like MSR, ICSE, and IEEE Transactions.

Robert N. BenView profile

Professor

• Organic Chemistry
• Bioorganic Chemistry
• Carbohydrate Chemistry
• +5 more

Robert N. Ben is a Full Professor in the Department of Chemistry and Biomolecular Sciences at the University of Ottawa. His research focuses on organic and bioorganic chemistry, particularly the development of small-molecule ice recrystallization inhibitors (IRIs) for improving cryopreservation techniques. These inhibitors enhance the viability of cells, tissues, and biological systems during freezing and thawing processes, with applications in regenerative medicine, stem cell therapy, and biomedical engineering. He holds a B.Sc. from Laurentian University (1990) and a Ph.D. from the University of Ottawa (1994). His work bridges synthetic chemistry and biological applications, aiming to design cryoprotectants with enhanced stability and activity for medical and industrial uses. Key research areas include asymmetric synthesis of bioactive compounds, carbohydrate chemistry, and glycoprotein design. Ben’s lab investigates the structure-activity relationships of IRIs, their mechanisms of action, and their utility in preserving diverse biological materials, including red blood cells, stem cells, and tissues. His contributions have advanced understanding of how small molecules mitigate ice crystal growth, reducing cryopreservation damage in cellular therapies and organ preservation. Despite no listed awards, his prolific research output (over 50 publications from 2013–2024) highlights his leadership in cryopreservation science. He advises students in synthetic and bioorganic chemistry but no specific advisees are named in the provided texts. Current projects emphasize translating IRI-based technologies into clinical applications, such as improving platelet and cord blood storage.

Patricia Elaine PerkinsView profile

Professor

• Ecological Economics
• Climate Justice
• Commons Governance
• +7 more

Patricia Elaine Perkins is a Professor at the Faculty of Environmental and Urban Change, York University, where she conducts research and teaches in ecological economics, climate justice, and community-based environmental governance. Her interdisciplinary work integrates feminist theory, political ecology, and participatory research methods to address global inequities in the context of climate change and sustainability transitions. Her educational background includes a PhD and MA in Economics from the University of Toronto, and a BA in Public and International Affairs from Princeton University. This strong foundation underpins her critical approach to mainstream economic paradigms and her advocacy for alternative, justice-oriented frameworks. Perkins' research interests center on climate justice, feminist ecological economics, commons governance, and community economic development . She explores how local communities, particularly in the Global South, can lead equitable responses to climate change through participatory models. Her focus on gender, care, and intersectionality brings vital perspectives to environmental decision-making processes. Her recent publications reflect a strong thematic trend toward decentralized governance, social movements, and systemic alternatives to growth-oriented economies . Articles and books examine degrowth, climate activism, and the integration of plural knowledge systems in environmental management, especially in Brazil, Canada, and Africa. She emphasizes community-led solutions and the ethical dimensions of sustainability. REDI (Respect, Equity, Diversity, Inclusion) training certificate – Centre for Human Rights, Equity, and Inclusion, York University Perkins has secured significant research funding from SSHRC, IDRC, and the New Frontiers in Research Fund for projects on post-pandemic recovery, ethical data management, and community-based climate resilience. She actively mentors students and collaborates internationally, contributing to global policy through her role as a Lead Author for the IPCC Sixth Assessment Report. Her work bridges academic research, community engagement, and public policy advocacy. She leads research teams and community-university partnerships focused on the Jane and Finch neighborhood, Brazil, and African watersheds. These labs and collaborative networks emphasize participatory action research, ethical data practices, and capacity building in marginalized communities.

Eugene ChanView profile

Associate Professor

• Consumer Psychology
• Political Ideology and Consumer Behavior
• Marketing Communication
• +7 more

Eugene Chan is an Associate Professor in the Department of Marketing Management at the Ted Rogers School of Management, Toronto Metropolitan University. He holds a PhD in Marketing from the University of Toronto, a MA in Social Psychology from the University of Chicago, and an AB in Honors Psychology from the University of Michigan, along with an ARCT (Hons) in Piano Performance from the Royal Conservatory of Music, reflecting a multidisciplinary background. His research lies at the intersection of consumer psychology, political ideology, health communication, and sustainability. He employs experimental and survey methods grounded in social science theories to understand how individuals make judgments and decisions in marketplaces and society. Key themes include the influence of political ideology on consumer behavior, strategies for effective marketing and health communication, and promoting environmentally sustainable choices. His work often explores how emotional, moral, and cognitive factors shape consumer decisions. His recent publications span top journals such as Journal of Consumer Psychology , Global Environmental Change , Computers in Human Behavior , and Personality and Social Psychology Bulletin . These studies reveal consistent focus on behavioral interventions, ideological divides, health compliance, and environmental sustainability. Trends indicate a strong emphasis on moral psychology, emotional triggers, and real-world applications in public policy and marketing strategy. Scientific Awards: Emerging Researcher Award, Australian and New Zealand Marketing Academy (2018) Dean’s Award for Excellence in Research by an Early Career Researcher, Monash Business School (2018) He has secured research funding from diverse sources including the National Natural Science Foundation of China, ACR Transformative Consumer Research Grant, IHS Hayek Fund, and the Indiana Commission for Higher Education, supporting projects on fake news mitigation, brand revitalization, moral foundations, and pandemic behavior. He has taught at institutions worldwide, including the University of Toronto, Monash University, and Purdue University, demonstrating international academic engagement. Eugene Chan serves in editorial roles for several journals, including as Associate Editor for Australasian Marketing Journal and International Journal of Consumer Studies , and as Special Issue Editor for Frontiers in Psychology . He also co-authored the 2nd Asia-Pacific edition of the textbook Consumer Behavior , contributing to marketing education. He advises students in consumer behavior and marketing research, though specific advisees are not listed.

Malcolm HeywoodView profile

Professor

• Genetic Programming
• Coevolution
• Reinforcement Learning
• +12 more

Dr. Malcolm Heywood is a Professor in the Faculty of Computer Science at Dalhousie University, Halifax, Canada. He leads the Network Information Management and Security (NIMS) Lab and is actively involved in research on genetic programming, coevolution, reinforcement learning, and big data analytics. His research interests span: Genetic Programming and Evolutionary Computation Coevolution and Competitive Learning Problem Decomposition and Hierarchical Models Streaming Data Analysis and Anomaly Detection Network Security and Insider Threat Detection Reinforcement Learning in Games (Atari, ViZDoom, Dota 2) Dr. Heywood's recent publications focus on emergent behaviors in reinforcement learning using Tangled Program Graphs (TPG), benchmarking genetic programming for streaming data, and applications in cybersecurity and computational finance. His work demonstrates a strong trend toward scalable, efficient evolutionary models for complex, real-world problems. His scientific awards include: Silver placed at Human-Competitive (Humies) Competition (2018) Best Paper at EuroGP (2017) Best Paper at DETA track, ACM GECCO (2017) Best Paper at RWA track, ACM GECCO (2018) Nomination for Best Paper at DETA track, ACM GECCO (2019) He has supervised numerous graduate students, including PhD and Master's candidates, many of whom have continued research in evolutionary computation. His lab has developed open-source code distributions for Tangled Program Graphs and Symbiotic Bid-Based GP. Dr. Heywood teaches courses in Computer Organization, Introduction to AI with Gaming Applications, and Genetic Algorithms and Programming.

Ed GrantView profile

Professor

• Chemical Physics
• Laser Spectroscopy
• Ultracold Plasmas
• +4 more

Ed Grant is a Professor in the Department of Chemistry at the University of British Columbia (UBC), Faculty of Science. He leads research in chemical physics, focusing on laser spectroscopy, ultracold plasmas, and Raman spectroscopy. B.A., 1969, Occidental College Ph.D., 1974, University of California, Davis Research Interests: Grant's work spans fundamental and applied domains. His team investigates ultracold plasmas using molecular beam techniques, revealing Coulombic interactions and strong correlations. In Raman spectroscopy, they develop instruments for microscale biological sample analysis and employ multivariate classification. Recent projects integrate quantum computing, machine learning, and environmental science (e.g., microplastics' atmospheric impact). Scientific Awards: R&D 100 Award (1998) Fellow of the American Physical Society (1992) Humboldt Research Award (1992, 2012) Kelly Award for Excellence in Undergraduate Teaching (1990) Fulbright Senior Scholar (1988)

James StewartView profile

Professor

• Computer-assisted surgery
• Image processing
• Computer graphics
• +3 more

James Stewart is a Professor at Queen's University's School of Computing. His research focuses on biomedical computing and surgical navigation systems. Education: Ph.D. in Computer Science from Cornell University (1992) Location: Office Goodwin 732 Contact: Phone 613 533-3156 Research Interests Professor Stewart's work bridges computer graphics, image processing, and medical applications. Key areas include: Computer-assisted surgical navigation 3D medical visualization Geospatial data representation Robust geometric computation Human-computer interaction in clinical settings Medical imaging uncertainty analysis Scientific Awards Best Poster Award (2013) for 'Image-guided Osteochondral Autologous Autografting of the Ankle' Publications His publications span multiple domains including: Computer graphics algorithms Medical imaging techniques Geospatial visualization Biomedical engineering applications Surgical navigation systems Robust geometric computation