جستجوی استاد راهنمای دانشگاهی

Ronald Wolthoffمشاهده پروفایل

استاد

• Macroeconomics
• Labour Economics
• Economic Theory
• +۳ مورد دیگر

Ronald Wolthoff is a Professor in the Department of Economics at the University of Toronto, holding positions at both the St. George campus and the Mississauga (UTM) campus. He serves as Chair of the UTM Economics Department. His research focuses on macroeconomics and labour economics, particularly labour market frictions, search theory, and competitive market mechanisms. Wolthoff holds a Ph.D. (2008), M.Sc. (2004), and B.Sc. (2003) from VU University Amsterdam. He has held academic positions in Europe before joining the University of Toronto. His research interests include: Labour market dynamics and search models Evaluation of market mechanisms and policies Competitive equilibrium analysis in economic systems Key contributions include studies on firm recruiting strategies, adverse selection in labour markets, and spatial labour market inefficiencies. His work has been published in top journals like the Review of Economic Studies and Journal of Economic Theory . He has received the FEEM (Young Economist) Award (2011) and teaches graduate courses in macroeconomic theory and labour markets. Wolthoff collaborates with institutions such as the Institute for the Study of Labor (IZA) and maintains an active Google Scholar profile with over 100 publications.

Keith Vanderlindeمشاهده پروفایل

دانشیار

• Cosmology
• Radio Astronomy
• Instrumentation Development
• +۳ مورد دیگر

Keith Vanderlinde is an Associate Professor at the David A. Dunlap Department of Astronomy & Astrophysics and the Dunlap Institute at the University of Toronto. His research focuses on cosmology and long-wavelength instrumentation, particularly large-scale structure studies and the expansion history of the universe. He leads projects like CHIME/FRB, CHORD, and HIRAX, developing radio telescopes to detect fast radio bursts (FRBs) and map cosmic evolution. Education: PhD in Physics (University of Chicago, 2008); BS in Physics with EE (MIT, 2002). Awards include CIfAR Junior Fellow (2011-2012) and McGill Trottier Fellow (2009-2011). Research interests span cosmological instrumentation, dark energy probes, and transient astronomy. Key projects include the CHIME radio telescope (studying 21cm emission and FRBs), the CHORD observatory, and international collaborations like HIRAX in South Africa. His work emphasizes instrument design, data analysis pipelines like kotekan, and multi-messenger astronomy. Lab involvement includes the Algonquin Radio Observatory and contributions to SPT-3G. Active in graduate/undergraduate training, mentoring students in cosmology and radio instrumentation.

Andriy Miranskyyمشاهده پروفایل

دانشیار

• Applied Machine Learning
• Big Data
• Blockchain
• +۴ مورد دیگر

Dr. Andriy Miranskyy is an Associate Professor in the Department of Computer Science at Toronto Metropolitan University. His research focuses on applied machine learning, quantum computing, cloud computing, and software engineering, with notable contributions to anomaly detection in cloud systems and quantum software engineering. He leads the AMiR Lab, exploring risk mitigation and software development challenges in emerging technologies. Education: Ph.D. in Computer Science from The University of Western Ontario (2011). Research Interests: He investigates quantum software engineering methodologies, cloud-native systems governance, and big data applications. His work bridges theoretical advancements with industrial-scale implementations, such as IBM Db2 quantum safety case studies and cloud monitoring tools like CloudHeatMap. He emphasizes practical solutions for flakiness detection in quantum programs and sustainable software development practices. Awards: Recognitions include the Rogers Cybersecure Catalyst Fellowship (2023-2024), IBM CAS Best Project (2021), and a Guinness World Record for pioneering a 3Pb data warehouse (IBM DB2 team). Teaching: Teaches courses like CPS 840 (Quantum Computing), CPS 847 (Software Tools for Startups), and CPS 731 (Software Engineering). Labs/Teams: Directs the AMiR Lab, focusing on risk-aware software engineering in quantum and cloud domains.

Shahram Payandehمشاهده پروفایل

استاد

• Robotics
• Geometrical Robotics
• Networked Dynamical Systems
• +۴ مورد دیگر

Shahram Payandeh is a Professor of Engineering Science at Simon Fraser University (SFU), affiliated with the School of Engineering Science within the Faculty of Applied Sciences. He holds a Ph.D. from the University of Toronto (1990), M.A.Sc. (1986), and B.Sc. (1981). His research focuses on robotics, geometrical robotics, networked dynamical systems, and medical robotics, with emphasis on haptic devices, multi-view tracking, and multi-modal interaction in serious games. Education: Ph.D., University of Toronto, Canada, 1990 M.A.Sc., University of Toronto, Canada, 1986 B.Sc., University of Akron, United States, 1981 Research Interests: Robotics and medical robotics applications Geometrical robotics and sensor networks Multi-view tracking and haptic rendering Networked dynamical systems and decision support His work spans visual tracking algorithms, sensor calibration, and teleoperation systems, with practical applications in healthcare and elderly care technology. Teaching: ENSC 482: Introduction to Decision Making in Engineering ENSC 890: Advanced Robotics: Mechanics and Control Labs & Facilities: Associated with the Engineering Science Research Lab (erl.ensc.sfu.ca) Office: ASB 10829

Parvaneh Saeediمشاهده پروفایل

استاد

• Computer Vision
• Biomedical Engineering
• Machine Learning
• +۵ مورد دیگر

Dr. Parvaneh Saeedi is a Professor and Associate Dean, Research & Graduate Studies in the School of Engineering Science at Simon Fraser University (SFU). She holds a Ph.D. in Electrical Engineering from the University of British Columbia (2004) and P.Eng. credentials. Her research focuses on computer vision, machine learning, and biomedical applications, with contributions to robotics, medical imaging, and remote sensing. Affiliations: Faculty of Applied Sciences, Simon Fraser University Education: B.Sc. (Iran University of Science and Technology), M.Sc. and Ph.D. (University of British Columbia) Her work spans automated image analysis systems, 3D reconstruction, and medical applications such as embryo grading and organ segmentation. She leads the Laboratory for Robotic Vision and has held roles at MacDonald Dettwiler and Associates and the Canada’s Michael Smith Genome Sciences Centre. Recognized with the NSERC University Faculty Award (2007), her teaching includes courses like ENSC 460/895 (Digital Image Processing).

Michael Gruningerمشاهده پروفایل

استاد

• Ontologies
• Semantic Integration
• Process Modelling
• +۶ مورد دیگر

Michael Gruninger is a Professor in the Department of Mechanical and Industrial Engineering at the University of Toronto, serving as Associate Chair of Undergraduate Studies. He holds a PhD and MSc in Computer Science from the University of Toronto and a BSc in Computer Science from the University of Alberta. His research focuses on semantic integration, process modeling, and mathematical logic applications in manufacturing and enterprise engineering. He contributed to the ISO 18629 standard for Process Specification Language. Research interests include ontologies, semantic web technologies, knowledge representation, and formal methods. He leads the Semantic Technologies Laboratory, advancing theories in mereotopology, spatiotemporal ontologies, and ontology engineering. Recent work emphasizes automated spatial reasoning in robotics and standards-based ontology development. Publications span ontology validation, mereological foundations, and applied semantic technologies. His work bridges theoretical computer science with practical enterprise systems and smart city applications. No awards are explicitly listed, though his contributions to ISO standards reflect industry impact. Advising and grants: No specific students/grants detailed here. His lab focuses on semantic technologies with applications in manufacturing and urban systems. Collaborations include NIST and the Industrial Ontologies Foundry.

Ali Elkamelمشاهده پروفایل

استاد مدعو

• Process Systems Engineering
• Energy Systems
• Environmental Engineering
• +۵ مورد دیگر

Ali Elkamel is an Adjunct Professor Emeritus at the University of Waterloo's Department of Chemical Engineering, Faculty of Engineering. His research focuses on Process Systems Engineering, Energy Systems, Environmental Engineering, and Carbon Management. He specializes in applying machine learning to optimize complex systems such as energy production, waste management, and material science. His work spans sustainability initiatives, including hydrogen production methodologies, municipal waste valorization, and eco-friendly grid modernization. He has also contributed to advancements in CO2 capture technologies and renewable energy integration. Elkamel's research often intersects with industrial applications, addressing challenges in petrochemical operations, membrane technology, and process modeling. Elkamel has published extensively on topics ranging from AI-driven education tools to novel materials for gas adsorption. His recent articles highlight trends in machine learning applications for process optimization, energy-water nexus solutions, and sustainable infrastructure design. Despite his prolific output, no formal awards or student advisement records are noted. His academic profile reflects a commitment to bridging theoretical research with practical industrial solutions, particularly in the energy and environmental sectors. Collaborations likely extend to interdisciplinary teams given his diverse research portfolio.

Evan F. Riskoمشاهده پروفایل

استاد

• Distributed Cognition
• Effort Perception
• Education and Training
• +۳ مورد دیگر

Evan F. Risko is a Professor and Associate Chair (Graduate Affairs) at the University of Waterloo. His research focuses on Distributed Cognition, Effort Perception, and applying cognitive psychology principles to improve education and training. He holds the Canada Research Chair in Embodied and Embedded Cognition and has received multiple awards including Early Career Awards from the Psychonomic Society, Canadian Society for Brain, and Outstanding Performance Awards from the Province of Ontario. His work is funded by NSERC, SSHRC, and other major grants. He leads the Cognition and Natural Behaviour Laboratory, exploring how humans integrate body and environment to enhance thinking. Recent studies examine lecture design, cognitive offloading effects, and metacognition in digital contexts. Education: B.A., M.A., Ph.D. from the University of Waterloo in Cognitive Psychology. His research bridges theoretical and applied domains, with a focus on optimizing learning through lecture video design, understanding effort perception, and mitigating cognitive biases. Scientific Awards: Canada Research Chair in Embodied and Embedded Cognition Early Career Award (Psychonomic Society) Early Career Award (Canadian Society for Brain, Behaviour, and Cognitive Science) 2014 & 2018 Outstanding Performance Awards (Province of Ontario) Advising & Grants: Supervises graduate students in cognitive science and education research. Major grants include NSERC Discovery Grants, SSHRC Insight Development Grants, and Canada Foundation for Innovation funds. His work on video lectures and cognitive offloading has implications for educational technology and workplace training. Labs & Teams: Director of the Cognition and Natural Behaviour Lab, collaborating on projects like 'Distributed Metacognition' and 'Effort Perception in Technology Use'. Current initiatives explore how external tools (e.g., smartphones) shape cognitive processes and learning efficacy.

Robert Hunterمشاهده پروفایل

استادیار

• Medical Diagnostics
• Nanotechnology
• Biomedical Engineering
• +۳ مورد دیگر

Robert Hunter is an Assistant Professor at the University of Waterloo, specializing in the development of advanced biosensors and analytical platforms for medical diagnostics and biomedical applications. His research focuses on integrating nanotechnology and surface-enhanced Raman scattering (SERS) for the early detection of diseases such as ovarian cancer, bacterial infections, and viral pathogens. He has pioneered work on exosome-based biosensors, light-triggered antimicrobial surfaces, and optofluidic diagnostic systems. Key research interests include the application of machine learning algorithms to biomedical spectral data, the design of electrochemical sensors for on-farm livestock health monitoring, and the use of C. elegans as a model organism for drug discovery. His interdisciplinary approach bridges engineering, chemistry, and biology to address challenges in precision medicine and rapid diagnostics. As a Full-time Faculty member, Dr. Hunter contributes to teaching and research in cutting-edge technologies, with a focus on translating laboratory innovations into practical clinical and agricultural solutions.

• Robotics
• Biomechanics
• Human-Machine Interaction
• +۳ مورد دیگر

Jonathan Lin is an Adjunct Assistant Professor at the University of Waterloo, specializing in robotics and biomechanics with a focus on human motion analysis and assistive technologies. His research spans rehabilitation engineering, human-robot interaction, and sensor systems for clinical and mobility applications. Key research areas include real-time pose estimation for assistive robots, motion segmentation for rehabilitation monitoring, and humanoid robotics learning from human demonstrations. He has contributed to projects like the SkyWalker mobility aid robot and Segway-riding humanoid systems. His work bridges robotics, biomechanics, and healthcare, emphasizing practical applications in aging populations and clinical settings. No scientific awards are listed, but his publications reflect interdisciplinary innovation in motion analysis and assistive technologies. Advising and grants details are not explicitly provided, though collaborations with robotics and biomedical engineering teams are implied through his research outputs. His lab or team affiliations remain unspecified in the provided texts.

Michael Fisherمشاهده پروفایل

استادیار

• Control Systems
• Nonlinear Dynamics
• Power Systems
• +۳ مورد دیگر

Michael Fisher is an Assistant Professor at the University of Waterloo, affiliated with the Faculty of Engineering. His research focuses on nonlinear systems theory, control systems design, and vulnerability assessment in power systems. He explores topics such as system-level synthesis, stability analysis under perturbations, and optimization techniques for distributed control. His work bridges applied mathematics and engineering applications, with a particular emphasis on resilience and safety margins in complex systems. Key research areas include trajectory sensitivity analysis, region of attraction boundary stability, and sparsity-promoting control design. He has contributed to advancements in H2/H∞ control, adaptive divide-and-conquer strategies for virtual power plants, and geometric programming approaches for natural gas networks. His publications often intersect nonlinear dynamics, optimization, and practical engineering challenges. Fisher’s recent studies emphasize parameterized system analysis, Hausdorff continuity in region of attraction boundaries, and approximation methods in Hardy spaces. His work addresses both theoretical control system advancements and real-world applications in power grids and distributed energy systems.

Lisa Gaoمشاهده پروفایل

استادیار

• Insurance Risk Modeling
• Spatial Statistics
• Predictive Analytics
• +۳ مورد دیگر

Lisa Gao is an Assistant Professor in the Department of Actuarial Science at the University of Waterloo. Her research focuses on insurance risk modeling, spatial statistics, predictive healthcare analytics, and biomarker-driven disease differentiation. She is affiliated with the Actuarial Science faculty and can be contacted at lisa.gao@uwaterloo.ca. Her work integrates environmental and medical data to address challenges in insurance claims management, healthcare policy, and autoimmune disease diagnosis. Notably, she has developed spatial models for insurance loss prediction and pioneered biomarker research for distinguishing psoriatic arthritis from psoriasis. Her articles span interdisciplinary topics including weather-related property insurance modeling, causal analysis of healthcare delays, and novel biomarker validation for autoimmune diseases. She holds no listed scientific awards but demonstrates a strong publication record in actuarial science and medical research. No grants, advising relationships, or specific laboratories are explicitly mentioned in the provided text.

Raafat Mansourمشاهده پروفایل

استاد

• RF Engineering
• Microwave Engineering
• Millimeter-Wave Technology
• +۴ مورد دیگر

Raafat Mansour is a Professor and University Research Chair at the University of Waterloo, serving as Director of the Centre for Integrated RF Engineering. His research focuses on advanced RF and microwave engineering, including phase shifters, reconfigurable circuits, MEMS devices, and low-temperature superconductors. He leads efforts in developing tunable filters, millimeter-wave systems, and phase change material applications. His expertise spans RF component design, cryogenic electronics, and integration of novel materials like BST varactors and GeTe switches. Mansour’s work addresses challenges in 5G and future communication systems, emphasizing miniaturization and system efficiency. He has pioneered reconfigurable intelligent surfaces (RIS) and monolithic integration techniques for next-generation RF front-ends. Key contributions include magnetless cryogenic circulators, liquid crystal-based phase shifters, and high-performance SAW filters. His articles highlight innovations in bandwidth reconfiguration, tunable capacitors, and superconducting circuits for quantum applications. Mansour’s research also explores MEMS actuators, thermal management in RF switches, and scalable phase-change switch matrices. As an educator, he has contributed to MTT-S scholarship programs and promotes interdisciplinary education in RF engineering. His laboratory work emphasizes practical applications of theoretical advancements, with a focus on real-world deployment of reconfigurable systems.

Daniel Andreiمشاهده پروفایل

دانشیار

• General Equilibrium Asset Pricing
• Macro-Based Asset Pricing
• Information Economics
• +۲ مورد دیگر

Daniel Andrei is Associate Professor of Finance at McGill University's Desautels Faculty of Management. His research focuses on asset pricing, information economics, and the intersection of macroeconomic policy with financial markets. He received the 2018 Asian Finance Association Best Paper Award for work on investment relationships. His publications explore monetary policy transmission mechanisms, regulatory impacts on market uncertainty, and behavioral aspects of investor attention. Recent work examines Schumpeterian competition dynamics and foundational asset pricing models. Research consistently addresses how information processing and policy uncertainty shape market outcomes.

• Service operations management
• Operations management/marketing interface
• Queueing theory
• +۲ مورد دیگر

Mojtaba Araghi is an Associate Professor at the Lazaridis School of Business and Economics, Wilfrid Laurier University. His research focuses on optimizing service operations, supply chain coordination, and stochastic modeling in business contexts. His primary research interests include: Service operations management and queueing systems Integration of operations and marketing functions Stochastic processes in business decision-making Supply chain coordination mechanisms Pricing and resource allocation strategies Araghi's publications demonstrate consistent focus on operational efficiency, particularly in healthcare logistics, retail management, and service system optimization. His work frequently applies advanced quantitative methods including discrete event simulation, optimization modeling, and stochastic analysis to real-world business challenges.