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Manfredi MaggioreView profile

Professor

• Nonlinear Control
• Robotics
• Dynamical Systems Theory
• +4 more

Manfredi Maggiore is a Professor at the University of Toronto's Edward S. Rogers Sr. Department of Electrical and Computer Engineering. He received his Laurea in Electronic Engineering from the University of Genoa (1996) and PhD in Electrical Engineering from Ohio State University (2000). His research specializes in nonlinear control theory, robotics, and dynamical systems, with a focus on virtual holonomic constraints, path following, and stabilization of underactuated mechanical systems. Research Interests: Prof. Maggiore's work integrates mathematical methods from dynamical systems theory and differential geometry to address fundamental challenges in nonlinear control. Key areas include: Set stabilization and its relationship to path following Virtual holonomic constraints for mechanical systems Distributed coordination of robotic networks Hybrid control of underactuated systems Recent Publication Trends (2017-2024): His 15 most recent articles demonstrate a consistent focus on geometric control methods for robotic and mechanical systems, particularly stabilization of underactuated systems (e.g., acrobots, snake robots) using virtual constraints. Key themes include distributed multi-agent control, hybrid system stabilization, and novel applications of differential geometry. Awards: IEEE Conference on Control Applications Best Paper Award (2005) ECE Teaching Award (2004, 2014, 2015) Faculty Teaching Award (2018) Senior Member, IEEE Control Systems Society Affiliations: He leads research within the Systems Control Group and has held visiting positions at the University of Bologna (2007-2008) and École CentraleSupélec (2015-2016). He organizes the Biennial Meeting on Systems and Control Theory, promoting Canadian control research collaboration.

Sebastian FischmeisterView profile

Professor

• Embedded Systems
• Distributed Systems
• Formal Methods
• +8 more

Sebastian Fischmeister is a Professor and NSERC/Magna Industrial Research Chair in Automotive Software for Connected and Automated Vehicles at the Department of Electrical and Computer Engineering, University of Waterloo. His research focuses on systems at the intersection of software technology, distributed systems, and formal methods, with applications in automotive systems, avionics, and medical devices. He has pioneered frameworks for scalable location-based pervasive computing and verifiable real-time communication schedules, contributing to the ASTM F29.21 standard. Education: Dipl.-Ing. in Computer Science (Vienna University of Technology, 2000), Ph.D. in Computer Science (University of Salzburg, 2002) Research Themes: Real-time embedded systems, runtime monitoring, security analysis, data analytics for validation, and performance evaluation. Scientific Awards: APART Stipend (2005) Ontario Early Researcher Award (2014) Multiple best paper and tool awards He is an ACM Distinguished Speaker and actively participates in organizing conferences such as ESCAR, RTSS, DATE, and ICPE. His work includes significant contributions to anomaly detection, cybersecurity in automotive networks, and runtime verification techniques under unreliable conditions.

Caroline WagnerView profile

Assistant Professor

• Biomaterials and Tissue Engineering
• Bioinformatics and Computational Biology
• Population-level disease models
• +6 more

Caroline Wagner is an Assistant Professor in the Department of Bioengineering at McGill University and an Associate Member of the Department of Biomedical Engineering. She leads the Biofluids and Global Health Lab , focusing on cross-scale modeling of disease dynamics and mucin-pathogen interactions. Her research spans Biomaterials and Tissue Engineering , Bioinformatics and Computational Biology , and Global Health . Key projects include: Characterizing mucus as a physical barrier to pathogens Developing population-level and within-host disease models Designing biomimetic materials to alter transmission dynamics The Biofluids and Global Health Lab addresses global health challenges exacerbated by climate change and pathogen evolution. Recent work explores SARS-CoV-2 transmission, vaccine hesitancy , and wearable sensor deployment for pandemic mitigation. Her publications highlight interdisciplinary approaches combining biophysics , epidemiology , and policy analysis to tackle respiratory diseases and global health disparities.

• Machine learning
• Computer vision
• Pattern recognition
• +7 more

Eric Granger is a Professor in the Department of Systems Engineering at École de technologie supérieure (ETS) in Montreal, Quebec, Canada. He holds a B.Sc.A. from UQAM, and M.Sc.A. and Ph.D. from Polytechnique Montréal. Dr. Granger leads research at the LIVIA – Imaging, Vision and Artificial Intelligence Laboratory and holds the Distech Controls Research Chair on Embedded Neural Networks in a Controller for Connected Buildings. His research spans intelligent and autonomous systems with applications in health technologies. Dr. Granger's expertise includes machine learning, computer vision, pattern recognition, deep models, multimodal information fusion, domain adaptation, weakly supervised learning, and adaptive intelligent systems. His specific applications focus on face analysis and recognition, biometrics, medical imaging, affective computing, computer security, and video surveillance. Analysis of his recent publications reveals a strong focus on person re-identification across different modalities (visible-infrared), weakly supervised object localization, depression detection from facial analysis, and medical image analysis. His work consistently addresses domain adaptation challenges and develops innovative neural network architectures for real-world applications in surveillance and healthcare. Dr. Granger has supervised numerous doctoral students across various research topics including adaptive anomaly detection, signature verification, face recognition, medical image segmentation, and domain adaptation. His research is supported by multiple grants and collaborations with industry partners like Distech Controls. He leads the LIVIA research laboratory which focuses on imaging, vision, and artificial intelligence applications. The lab works on projects involving embedded neural networks for connected buildings, video surveillance systems, medical imaging applications, and affective computing solutions.

Nicolas ConstantinView profile

Professor

• Analog and RF microelectronics
• Microwave circuits
• Wireless communications
• +5 more

Nicolas Constantin is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS), Université du Québec, where he teaches courses including Electrical Circuits (ELE105) and Analog Microelectronics (SYS811). His research focuses on analog and RF microelectronics, microwave circuits, and wireless communications, with specific expertise in RF transmitters and receivers, test methods for analog and RF circuits, and power integrity in high-speed switching systems. His educational background includes: B.Eng. from École de technologie supérieure (ÉTS) M.Sc.A. from Polytechnique Montréal Ph.D. from McGill University Dr. Constantin's research spans multiple domains within electrical engineering, with a consistent focus on improving the linearity and efficiency of RF power amplifiers through innovative techniques like positive envelope feedback. His work bridges fundamental circuit design with practical applications in wireless communications, aerospace systems, and power electronics. Recent research has expanded into GHz-range power integrity modeling for switch-mode converters, millimeter-wave identification systems, and integrated solutions for avionic applications, demonstrating both depth and evolution in his technical contributions. Analyzing his publication record from 1995 to 2025 reveals a clear progression from fundamental device characterization to sophisticated integrated system solutions. Early work focused on GaAs FET behavior and nonlinear analysis of power amplifiers, while more recent publications address system-level challenges in power integrity, millimeter-wave identification, and aerospace electronics. A consistent thread throughout his career has been the development of envelope feedback techniques for RF power amplifiers, which has resulted in multiple patents and continues to drive innovation in wireless communication systems. Dr. Constantin has actively supervised numerous graduate students through doctoral and Master's research projects. His students have explored topics including positive envelope feedback techniques, power integrity in SiP implementations, millimeter-wave antenna systems, and integrated control circuits for aerospace applications. His supervision spans both theoretical analysis and practical implementation, preparing students for careers in both industry and academia. As a key member of the LACIME (Communications and Microelectronic Integration Laboratory) at ÉTS, Dr. Constantin contributes to a research environment that spans from functional materials to communication protocols. The laboratory's multidisciplinary approach enables innovative solutions in micro- and nanofabrication, integrated circuit design, and photonic systems, with strong industry partnerships that facilitate technology transfer and real-world application of research findings.

Hubert de GuiseView profile

Professor

• Theoretical Physics
• Mathematical Physics
• Quantum Mechanics
• +2 more

Hubert de Guise is a Professor in the Department of Physics at Lakehead University. His research focuses on Theoretical Physics and Mathematical Physics , particularly SU(n) symmetries, quantum interferometry, and Wigner functions. University: Lakehead University Email: hdeguise@lakeheadu.ca, hubert.deguise@lakeheadu.ca Contact: Office CB4033, Phone: +1 (807) 343-8010 ext. 8468 His work spans quantum mechanics, phase space methods, and symmetry-based approaches in quantum systems. Key themes include SU(3) and SU(2) group applications, finite-dimensional quantum systems, and polarization coherence. Notable collaborations include researchers from the Canadian Association of Physics, Canadian Prairie Theoretical Physics Network, and Fields Institute. His publications address topics such as quantum tomography, squeezing transformations, and discrete Fourier methods.

• Mechatronics Engineering
• Artificial Intelligence
• Cardiovascular Physiology
• +5 more

Céderick Landry is an Assistant Professor of Mechanical Engineering at Université de Sherbrooke , Canada, since 2023. His research integrates mechatronics, artificial intelligence, and cardiovascular physiology to develop non-invasive, data-driven solutions for cardiovascular monitoring and intervention optimization. Education: PhD, Mechanical Engineering – University of Waterloo (2021) Post-doctorate – University of Pittsburgh (2023) MSc, Mechanical Engineering – Université de Sherbrooke (2017) BEng, Mechanical Engineering – Université de Sherbrooke (2014) Research Focus: Dr. Landry’s work centers on the intersection of biomedical engineering and machine learning , with a strong emphasis on cuffless blood pressure monitoring . He develops wearable and smartphone-based systems that leverage oscillometric , viscoelastic modeling , and deep reinforcement learning to monitor and control cardiovascular parameters in real time. His research spans arterial stiffness , signal processing , system identification , and clinical translation , with applications in hypertension detection , elderly fall prevention , and intermittent pneumatic compression therapy . Scientific Awards & Honors: NSERC Postdoctoral Fellowship (2024) NSERC Alexander Graham Bell CGS-Doctoral Award (2021) FRQNT Scholarships – A7, B2, B1 (2020–2017) University of Waterloo President’s Graduate Scholarship (2021) Multiple best paper and presentation awards at IEEE EMBC, BHI, and BSN conferences Grants & Funding: NSERC Discovery Grant – Principal Investigator (2024–2029, $152,500) University Startup Funds – Université de Sherbrooke (2023–2025, $70,000) CdRV Startup Funds – Centre de recherche sur le vieillissement (2024–2026, $25,000) CIHR Co-investigator – FemTech urinary incontinence app (2024–2025, $149,489) Labs & Teams: Dr. Landry leads a research group at Université de Sherbrooke focused on cardiovascular technologies and non-invasive diagnostics . He collaborates with MITACS , CRCHUS , 3IT , and international partners including University of Pittsburgh and Georgia Tech .

Dennis MichaelsonView profile

Assistant Professor

• Renewable Energy Microgrids
• Small Modular Reactors
• Energy Management
• +4 more

Dennis Michaelson is an Assistant Professor in the Department of Electrical and Computer Engineering at Western University. He holds a Ph.D. in Power Systems Engineering (2017) and a B.A.Sc. in Automation Engineering (1993) from Simon Fraser University. Prior to his current role, he served as a Postdoctoral Associate and Research Engineer at Western University and held leadership positions in industry, including Vice-President of Engineering at EK3 Technologies. Education: Ph.D. (Western University, 2017), B.A.Sc. (Simon Fraser University, 1993) Leadership: Chair of IEEE London Section and IEEE Power and Energy Society London Chapter Research Interests: Renewable energy microgrids and energy storage Small modular nuclear reactors for sustainable energy Embedded real-time systems for power management Mobile robotics and complex systems engineering Advocacy for Indigenous engineering education Publication Trends: Dennis's research focuses on integrating renewable energy with nuclear systems, optimizing microgrid stability, and advancing embedded control strategies. His work spans theoretical modeling (e.g., droop control, adaptive virtual impedances) and applied engineering (e.g., vehicular PV systems, fault detection patents). Professional Contributions: He serves on the Canadian Indigenous Advisory Council to the American Indian Science and Engineering Society and holds two U.S. patents related to embedded systems and media content display technologies.

Ahmet Emre KarataşView profile

Associate Professor

• Sustainable Energy
• Flame Emissions
• Hybrid-electric Propulsion
• +7 more

Ahmet Emre Karataş is an Associate Professor in the Department of Aerospace Engineering at Toronto Metropolitan University and an Affiliate Scientist at the Institute for Biomedical Engineering, Science and Technology at St. Michael's Hospital. He holds a PhD (2014), MASc (2009), and BSc (2007) from the University of Toronto and Middle East Technical University, respectively. Education: PhD (2014), University of Toronto MASc (2009), University of Toronto BSc (2007), Middle East Technical University Dr. Karataş specializes in combustion emissions, propulsion systems, and sustainable energy. His work focuses on flame diagnostics, hybrid-electric propulsion, and the application of optical techniques to analyze reacting flows. He explores soot formation in high-pressure environments and investigates biofuels to reduce carbon footprints in aerospace applications. His research spans combustion science, aerospace engineering, and energy systems, with a particular emphasis on soot aggregate morphology, pressure-dependent flame behavior, and emission control technologies. Recent publications highlight numerical modeling of flame extinction and experimental analysis of CO2/N2 dilution effects. Scientific Awards: G.N. Patterson Award (UTIAS award for best PhD Dissertation), 2014 Dr. Karataş contributes to education through courses like Basic Thermodynamics (AER 309) and mentors students in combustion research. He leads the Clean Energy and Combustion Research Group, aiming to develop cleaner propulsion technologies and address climate change through advanced combustion science.

Gennady PekhimenkoView profile

Associate Professor

• Computer Architecture
• Systems Research
• Applied Machine Learning
• +3 more

Dr. Gennady Pekhimenko is an Associate Professor in the Department of Computer Science and cross-appointed to the Electrical and Computer Engineering department at the University of Toronto. He leads the EcoSystem research group and serves as CEO/Co-Founder of CentML, with affiliations at CIFAR and Vector Institute. PhD in Computer Science from Carnegie Mellon University (2016) His research spans computer architecture, systems optimization, and applied machine learning, with a focus on memory hierarchy efficiency, hardware acceleration, and compiler design. Recent work emphasizes large language model training, GPU virtualization, and processing-in-memory systems. Key article trends include: 1) Memory optimization for transformers and sparse models (2024-2025), 2) GPU resource management (2022-2024), 3) Prompt programming languages (2025), and 4) Deep learning compilation frameworks (2021-2023). Major Awards: NVIDIA Graduate Fellowship, Microsoft Research PhD Fellowship, ISCA Hall of Fame, AWS/Google/VMware research grants Key Collaborations: Onur Mutlu (CMU), Todd Mowry (CMU), Vector Institute researchers

Tommaso CesariView profile

Assistant Professor

• Online Learning
• Optimization Theory
• Bandit Algorithms
• +6 more

Tommaso Cesari is an Assistant Professor at the School of Electrical Engineering and Computer Science and cross-appointed with the Department of Mathematics and Statistics at the University of Ottawa. He holds a Ph.D. in Computer Science (with distinction) and Master’s/Bachelor’s degrees in Mathematics (summa cum laude) from the University of Milan. His research focuses on theoretical machine learning, online optimization, and algorithmic game theory with applications to digital markets and space operations. Education: Bachelor's Degree in Mathematics (summa cum laude), Università degli Studi di Milano (2011) Master's Degree in Mathematics (summa cum laude), Università degli Studi di Milano (2015) Ph.D. in Computer Science (with distinction), Università degli Studi di Milano (2020) Tommaso’s research spans online learning , regret minimization , and optimization under limited feedback . His work bridges machine learning , game theory , and stochastic optimization , with applications to bilateral trade , market microstructure , and spacecraft operations . His recent publications emphasize regret analysis in contextual brokerage, market making , and fair bilateral trade . He has contributed to top venues like COLT , NeurIPS , EC , and MOR , often collaborating with researchers such as Nicolò Cesa-Bianchi and François Bachoc. Tommaso currently teaches ITI 1121 — Introduction to Computing II and CSI 4145 — Machine Learning at the University of Ottawa. He is a member of the ELLIS society and serves as an editor for Springer's Machine Learning Journal .

• Macroeconomics
• Monetary Policy
• Fiscal Policy
• +3 more

Jinill Kim is a Professor in the Department of Economics at Korea University, Seoul, South Korea. His research focuses on macroeconomic policy, particularly monetary and fiscal interactions, with affiliations to institutions including the Board of Governors of the Federal Reserve System, Bank of Korea, and International Monetary Fund. Primary Affiliation: Department of Economics, Korea University Secondary Affiliations: IMF, Federal Reserve Board, Bank of Finland, Barcelona School of Economics His work spans computational economics, dynamic general equilibrium modeling, and optimal policy design under conditions like zero interest rate bounds and demographic shifts. Recent publications address topics such as: Designing loss functions for central banks Welfare effects of fiscal transfers Extreme event responses in monetary policy Two-sector productivity shocks Kim's methodological expertise includes perturbation techniques, projection methods, and calibration of macroeconomic models.

Pierre BaptisteView profile

Professor

• Logistics
• Optimization and Optimal Control Theories
• Scheduling
• +7 more

Pierre Baptiste is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal's Faculty of Engineering. He holds a Diplôme d'Ingénieur from INSA Lyon, a Doctorate from University of Lyon 1, and a Habilitation à Diriger des Recherches (HdR) from INSA Lyon. His research spans logistics, optimization, scheduling, and production management with applications across multiple industries. He is affiliated with the Institute for Data Valorization (IVADO) and the Decision Analysis Study and Research Group (GERAD). His research interests focus on Logistics , Optimization and Optimal Control Theories , Scheduling , Production Management , and Supply Chain Management . A significant portion of his recent work centers on Demand-Driven Material Requirements Planning (DDMRP), flow shop scheduling, aircraft end-of-life management, and sustainability assessment of solar energy systems. His interdisciplinary approach combines operations research with practical industrial applications. Professor Baptiste has supervised 11 doctoral students and 25 master's students, with thesis topics ranging from DDMRP implementation to aircraft disassembly optimization and solar energy sustainability. His most recent publications (2022-2025) show a strong focus on DDMRP buffer management, flow shop scheduling with missing operations, and sustainability assessment of renewable energy systems. His research demonstrates a consistent evolution from theoretical scheduling problems toward practical supply chain applications and sustainability considerations. As a member of IVADO and GERAD, Professor Baptiste contributes to collaborative research initiatives that bridge academic theory with industrial practice. His work has significant implications for manufacturing efficiency, supply chain resilience, and sustainable resource management in both traditional industries and renewable energy sectors.

Louis-Martin RousseauView profile

Professor

• Operational Research
• Logistics
• Algorithms
• +4 more

Louis-Martin Rousseau is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He holds the Tier 1 Canada Research Chair in Healthcare Analytics and Logistics (HANALOG) and manages the Combinatorial Optimization and Reasoning in Artificial Intelligence Laboratory (CORAIL). He is also a member of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) and the Institute for Data Valorization (IVADO). B.Sc., Ph.D. from Université de Montréal His research focuses on hybridizing classical operations research techniques with constraint programming (AI methods) for applications in transport logistics, schedule optimization, and healthcare resource management. He has pioneered work in healthcare analytics, particularly in liver transplantation survival prediction (CASE method), radiation therapy treatment planning, and pandemic triage protocols. Recent publications highlight his work in deep reinforcement learning for inventory control, dual bound generation in constraint programming, and dynamic homecare scheduling. Keywords include Healthcare Analytics , Machine Learning , Combinatorial Optimization , and Logistics . Scientific awards include the 2019 Outstanding Achievement Award from the IEOM Society International. He supervises 5 doctoral, 2 master's, and 2 postdoctoral researchers, with a total of 23 PhD and 30 master's theses completed under his guidance since 2003. His lab (CORAIL) collaborates with CIRRELT and IVADO on problems involving synchronized vehicle routing, stochastic programming, and machine learning integration. Media appearances discuss healthcare system reforms, including private mini-hospitals and the Santé Québec agency's impact on patient access.

• Medical Anthropology
• Ethnography
• Global Health
• +11 more

Vinay Ramnath Kamat is a Professor in the Department of Anthropology at the University of British Columbia (UBC), specializing in Medical Anthropology and Global Health . His fieldwork spans India and Tanzania, focusing on dispossession , extractive industries , and marine conservation . Education Ph.D. in Anthropology, Emory University (2004) M.A. in Anthropology, University of Arizona (1994) Ph.D. in Social Work, Tata Institute of Social Sciences (1992) Research Interests Medical Anthropology Political Ecology Marine Conservation Climate Change Adaptation Global Health Post-Socialist Tanzania Article Trends highlight his work on anthropological critiques of conservation policies, clinical trial ethics, and malaria’s social determinants. His 2024 book In a Wounded Land explores marine conservation’s human costs in Tanzania. Scientific Awards Best Undergraduate Teaching Awards (2009–2011) Dean of Arts Research Award (2019) Wenner Gren Postdoctoral Fellowship (2011) Grants include SSHRC Insight Grants (2018–2030) for climate change and natural gas research in Tanzania. He has advised a Ph.D. student on sanitation politics in Chennai’s slums.