جست‌وجوی استاد و پژوهشگر

• Operational Research
• Logistics
• Stochastic Optimization
• +۳ مورد دیگر

Michel Gendreau is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He holds a B.Com. from McGill University, and both an M.Sc. and Ph.D. from the University of Montreal. His research focuses on operational research with applications in logistics, transportation, energy systems, and telecommunications. He is affiliated with several prestigious research centers including the Institute for Data Valorization (IVADO), the Trottier Energy Institute (IET), and the Interuniversity Research Center on Enterprise Networks, Logistics and Transport (CIRRELT). Professor Gendreau's research interests span operational research, with particular emphasis on stochastic optimization methods applied to transportation and logistics problems, energy systems management, and telecommunications. His work often addresses real-world challenges through mathematical modeling and algorithm development, with applications ranging from bike-sharing systems to emergency response planning and electricity grid management. The analysis of his recent publications reveals a strong focus on vehicle routing problems under uncertainty, maintenance optimization, and the integration of stochastic programming with machine learning techniques for improved decision making. Professor Gendreau has received numerous prestigious awards recognizing his contributions to the field of operations research. In 2022, he was named a Fellow of the International Federation of Operational Research Societies (IFORS). In 2010, he was awarded Fellow status by INFORMS (Institute for Operations Research and the Management Sciences). Most notably, in November 2015, he received the Robert M. Herman Lifetime Achievement Award from the Transportation Science and Logistics Society of INFORMS, which is considered the most prestigious distinction for operational researchers working in logistics and transportation. Throughout his career, Professor Gendreau has supervised 25 doctoral students and 18 master's students, contributing significantly to the development of the next generation of operations research experts. His research has been supported by numerous grants from organizations including NSERC (Natural Sciences and Engineering Research Council of Canada), with expertise recognized in Operational Research and Management Science (NSERC subject 1601) and Logistics (NSERC subject 1603). Professor Gendreau is actively involved in several research teams and laboratories, particularly those focused on data valorization, energy systems, and transportation logistics. His current work continues to push the boundaries of stochastic optimization and its applications to complex real-world problems, with recent publications addressing challenges in urban transportation, energy management, and emergency response systems.

Christopher Heartyمشاهده پروفایل

استاد

• Experimental Particle Physics
• Physics beyond the Standard Model
• Dark sector
• +۵ مورد دیگر

Christopher Hearty is a Professor in the Department of Physics & Astronomy at the University of British Columbia (UBC), Faculty of Science, and serves as an IPP (Institute of Particle Physics) Principal Research Scientist. His office is located in Hennings 268 with laboratory space at TRIUMF/Hennings 222, where he conducts cutting-edge experimental particle physics research using major international facilities. Hearty earned his B.Sc. in Mathematics and Physics from Simon Fraser University (1982), followed by a Ph.D. in Physics from the University of Washington (1987). He completed postdoctoral research at Lawrence Berkeley National Laboratory from 1987 to 1994 before joining UBC. B.Sc., Mathematics and Physics, Simon Fraser University, 1982 Ph.D., Physics, University of Washington, 1987 Postdoctoral Researcher, Lawrence Berkeley National Laboratory, 1987-1994 His research program focuses on direct searches for physics beyond the Standard Model through e+e- collisions, with particular emphasis on dark sector phenomena including dark photons, axion-like particles, and strongly interacting dark matter. As a key contributor to the Belle II experiment, he develops advanced calorimeter calibration techniques, reconstruction algorithms, and trigger systems while mentoring students in machine learning applications for large-scale data analysis. His work bridges theoretical phenomenology with experimental verification in the search for new fundamental particles. Recent publications demonstrate a concentrated effort on dark sector exploration at Belle II, featuring innovative approaches like graph neural networks for photon reconstruction and sophisticated analysis of displaced vertices. The research spans both visible and invisible decay channels, significantly advancing constraints on dark matter models while establishing Belle II's sensitivity to elusive particles through precision measurements of e+e- collision data. Hearty's scientific recognition includes: APS Fellow (2015) Breakthrough Prize in Fundamental Physics (2016) as part of the T2K collaboration He actively supervises graduate students on thesis projects spanning dark photon searches, axion-like particle detection, and detector development, while serving on UBC's teaching peer review committee and as LHCb chief reviewer for CERN's LHCC committee. His mentorship provides students with hands-on experience in international collaborations, detector instrumentation, and advanced data analysis techniques. Based at TRIUMF Canada's particle accelerator centre and UBC's Department of Physics & Astronomy, Hearty leads a research group within the global Belle II collaboration. His team contributes to multiple detector subsystems including calorimetry and tracking systems, while developing novel analysis frameworks for new physics signatures in high-energy collision data.

Ryozo Nagamuneمشاهده پروفایل

استاد

• Control Engineering
• Control of floating offshore wind turbines and wind farms
• Control of integrated solar thermal systems
• +۶ مورد دیگر

Ryozo Nagamune is a Professor in the Department of Mechanical Engineering within the Faculty of Applied Science at the University of British Columbia (UBC). His research focuses on control engineering with specific expertise in floating offshore wind turbines, integrated solar thermal systems, and metal additive manufacturing processes. He maintains active collaborations with NSERC, MITACS, and industry partners including Ascent Systems Technologies. Dr. Nagamune received his B.Sc. and M.Sc. degrees from Osaka University, followed by a Ph.D. from the Royal Institute of Technology in Stockholm, Sweden. His educational background laid the foundation for his expertise in control systems theory and applications. His primary research interests center on control engineering, with particular emphasis on the control of floating offshore wind turbines and wind farms, integrated solar thermal systems, directed energy deposition metal additive manufacturing processes, engine aftertreatment systems, and data-driven modeling and control of dynamical systems. His work addresses critical challenges in renewable energy, manufacturing, and automotive applications, focusing on optimization, robustness, and efficiency improvements. The research spans theoretical developments in control algorithms to practical implementation in real-world systems. Analysis of Dr. Nagamune's recent publications reveals a strong focus on floating offshore wind turbine control, which constitutes approximately 40% of his recent work. Another significant portion (30%) addresses automotive control systems, particularly selective catalytic reduction for emissions control. The remaining publications cover diverse applications including haptic interfaces, spacecraft control, and precision manufacturing systems. His research demonstrates a consistent pattern of applying advanced control methodologies to solve practical engineering problems across multiple domains. Dr. Nagamune leads the Control Engineering Laboratory at UBC (located in KAIS 3104) and actively seeks collaborations with industry partners, research clusters, and interdisciplinary teams. His research is supported by major funding agencies including NSERC and MITACS, as well as industry partnerships. He is available for supervision of graduate students and expresses interest in working with undergraduate students on research projects. Dr. Nagamune welcomes interdisciplinary research opportunities and is particularly interested in collaborations that bridge multiple engineering domains.

Simon Oyaمشاهده پروفایل

استادیار

• Privacy-enhancing technologies
• Computer Security
• Signal processing for security and privacy
• +۴ مورد دیگر

Simon Oya is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of British Columbia (UBC), Faculty of Applied Science. He holds a PhD in Information Technologies and Communications from the University of Vigo (Spain) and was previously a postdoctoral fellow at the Cryptography, Security and Privacy (CrySP) group at the University of Waterloo. His educational background includes: BSc, MSc, PhD from University of Vigo (Spain) Simon Oya's research focuses on designing and evaluating privacy-enhancing technologies with strong privacy and utility guarantees. He approaches privacy problems from a statistical perspective, using theoretical tools from signal processing and information theory to quantify privacy leakage and develop effective defenses. His primary research areas include: Privacy-preserving searchable encryption Machine learning privacy (particularly membership inference attacks) Anonymous communication systems Location privacy Differential privacy His publication record demonstrates a consistent focus on analyzing and improving privacy mechanisms across various domains. His recent work has particularly emphasized the intersection of machine learning and privacy, as well as advancing techniques for searchable encryption. His research methodology typically involves developing statistical models to understand privacy leakage and designing optimization-based approaches to improve privacy-utility tradeoffs. His notable scientific contributions include developing attacks against searchable encryption schemes to better understand their privacy limitations, and designing improved privacy mechanisms for location-based services. His work on statistical disclosure attacks against anonymous communication systems has also been influential in the field. As an educator, he teaches CPEN 442: Introduction to Cybersecurity at UBC. He actively seeks motivated graduate students interested in privacy research, particularly those with strong backgrounds in statistics, machine learning, or optimization.

Bhushan Gopaluniمشاهده پروفایل

استاد

• Process Control
• Machine Learning
• Chemical Engineering
• +۷ مورد دیگر

Bhushan Gopaluni is a Professor in the Department of Chemical and Biological Engineering at the University of British Columbia, where he also serves as Associate Dean for Education and Professional Development in the Faculty of Applied Science. He holds associate faculty positions in multiple interdisciplinary institutes including the Institute of Applied Mathematics, Institute for Computing, Information and Cognitive Systems, Pulp and Paper Center, and Clean Energy Research Center. He previously held the Elizabeth and Leslie Gould Teaching Professorship from 2014 to 2017. Education: Ph.D. in Chemical Engineering, University of Alberta (2003) Bachelor of Technology in Chemical Engineering, Indian Institute of Technology, Madras (1997) Research Interests: Professor Gopaluni's research spans several critical areas at the intersection of chemical engineering, machine learning, and process control. His primary focus includes the development of advanced process control strategies using reinforcement learning and machine learning techniques. He has made significant contributions to battery technology research, particularly in capacity estimation and remaining useful life prediction for lithium-ion batteries. His work also encompasses sustainable energy systems, industrial process monitoring, fault diagnosis, and the application of digital twin technology in chemical processes. His research methodology emphasizes the integration of data-driven approaches with fundamental process understanding, leading to practical solutions for complex industrial challenges. This includes the development of interpretable machine learning models for industrial applications, real-time optimization strategies, and advanced monitoring systems for process industries. Publications and Research Impact: Professor Gopaluni's recent publications demonstrate a strong focus on cutting-edge applications of machine learning in chemical engineering. His work prominently features battery technology and energy systems, with multiple papers addressing lithium-ion battery capacity estimation and management. He has also contributed significantly to process control applications, including drilling process monitoring, greenhouse gas reduction in marine transport, and renewable carbon tracking in biofuel processing. His research extends to advanced computational methods including deep learning, reinforcement learning, and causal discovery in industrial processes. Awards and Recognition: Killam Teaching Prize (University of British Columbia) Dean's Service Medal (University of British Columbia) D.G. Fisher Award in Process Control (Canadian Society for Chemical Engineers) Elizabeth and Leslie Gould Teaching Professor (2014-2017) Professional Service and Editorial Roles: Professor Gopaluni currently serves as Associate Editor for three prestigious journals: Journal of Process Control, The Journal of Franklin Institute, and Results in Control and Optimization. His service to the academic community extends through his role as Associate Dean for Education and Professional Development, where he oversees educational initiatives across the Faculty of Applied Science. Industry Experience: From 2003 to 2005, Professor Gopaluni worked as an engineering consultant at Matrikon Inc. (now Honeywell Process Solutions), where he designed and commissioned multivariable controllers for British Columbia's pulp and paper industry and implemented controller performance monitoring projects across oil & gas and chemical industries.

• Numerical analysis
• Scientific computing
• Partial differential equations
• +۳ مورد دیگر

Kirill Serkh is an Assistant Professor in the Department of Mathematics at the University of Toronto, with a cross-appointment to the Department of Computer Science. His research focuses on advanced numerical methods for solving complex mathematical problems. Key Research Areas: Numerical analysis, Scientific computing, Partial differential equations, Numerical linear algebra, Quadrature and approximation theory, Special functions His recent work explores high-order numerical schemes for PDEs on non-smooth domains, adaptive methods for oscillatory integrals, and efficient evaluation of Newtonian potentials. He has contributed to the development of hybrid boundary integral methods and spectral techniques for challenging computational problems. While no specific scientific awards are mentioned in the provided text, his publications demonstrate expertise in computational mathematics and interdisciplinary applications in fluid dynamics, wave propagation, and machine learning. His methodological innovations span both theoretical and applied domains.

• Astrophysical Fluid Dynamics
• Star Formation
• Protostellar Disks
• +۷ مورد دیگر

Chris Matzner is a Professor and Associate Graduate Chair at the University of Toronto's Department of Astronomy and Astrophysics, affiliated with the Dunlap Institute for Astronomy & Astrophysics. He earned his Ph.D. from UC Berkeley in 1999. His research focuses on astrophysical fluid dynamics, particularly star formation processes (protostellar disks, molecular clouds, energy feedback) and stellar explosions (supernovae, gamma-ray bursts), employing analytical, numerical, and observational approaches. His research encompasses: Dynamics of protostellar outflows and molecular cloud interactions Models for supernova shocks and gamma-ray burst mechanisms Fragmentation in star and planet formation Massive black hole accretion processes Evolution of giant molecular clouds Stellar feedback in galactic environments Analysis of his 15 most recent publications reveals strong emphasis on supernova dynamics (particularly Type Ia explosions), star formation mechanisms in clusters and molecular clouds, shock wave physics in astrophysical contexts, and the development of astronomical instrumentation. The works demonstrate consistent focus on explosive transients, fluid dynamics in cosmic environments, and observational constraints on theoretical models. As Associate Graduate Chair, he oversees academic programs and student development. His laboratory affiliations include the Dunlap Institute's computational astrophysics and instrumentation groups. Current work involves modeling star cluster-galaxy interactions, tidal disruption events, and developing next-generation UV/IR detectors.

Kristen Jones-Bonofiglioمشاهده پروفایل

دانشیار

• Health Care Ethics
• Mental Health
• Well-being
• +۳ مورد دیگر

Dr. Kristen Jones-Bonofiglio is an Associate Professor and Director of the School of Nursing at Lakehead University. She also serves as Director of the Centre for Health Care Ethics within the Faculty of Health & Behavioural Sciences. Her work bridges nursing practice with ethical frameworks, focusing on moral distress and compassionate care. Academic Background: PhD in Educational Studies (Cognition & Learning Stream), Lakehead University MPH in Nursing Specialization, Lakehead University BScN, Lakehead University Research Focus: Dr. Jones-Bonofiglio's research addresses ethical decision-making in health care, moral distress, teaching compassion in nursing, substance use in inpatient settings, and digital storytelling. She integrates theory with practical applications, such as patient care planning using computer-aided design. Publication Trends: Recent works include pandemic ethics, rural health care frameworks, nurse practitioner retention, and patient-oriented research. Many publications analyze moral distress in acute and community settings, while others explore digital storytelling and educational innovations. Scientific Contributions: AMS Phoenix Fellow Co-editor of Health Care Ethics through the Lens of Moral Distress (2020) Editorial Board, Global Bioethics Enquiry Leadership & Collaboration: She leads the Centre for Health Care Ethics and contributes to EPID@Work Research Institute. Her affiliations include the Centre for Research on Aging & Health. She supervises student theses and emphasizes interdisciplinary collaboration.

Rasha Kashefمشاهده پروفایل

دانشیار

• Data Science
• Machine Learning
• Big Data
• +۷ مورد دیگر

Rasha Kashef serves as Associate Professor at Toronto Metropolitan University, teaching courses including BME506 (Introduction to Software), COE628 (Operating Systems), COE691 (Software Requirements Analysis), and EE8225 (IoT Analytics). Her academic trajectory spans faculty positions at AAST Institute (2009-2011), University of Waterloo departments (2011-2016), and IVEY Business School (2016-2019), complemented by research roles at Microsoft Corp. Her educational foundation includes: Ph.D. in Electrical and Computer Engineering, University of Waterloo (2008) Bachelor’s degree, Alexandria University Faculty of Engineering (2000; Best Student Award recipient) Dr. Kashef’s research integrates advanced computational methodologies across critical domains: Core expertise in Machine Learning and Big Data analytics for complex system modeling Specialized applications in Healthcare informatics and Revenue management Technical innovation in IoT infrastructure and Distributed Computing architectures Cross-disciplinary work in Operations Research and Autonomous Systems Her publication record demonstrates evolving focus from foundational clustering techniques (2009-2010) to cooperative learning frameworks (2017) and security-oriented big data applications (2019), reflecting consistent contributions to data science scalability and robustness. Award highlights include: Dean’s SRC Award and IEEE Best Paper Awards (2024) Roger’s Cybersecure Fellowship (2023) Multiple Waterloo graduate scholarships and teaching awards No information is available regarding student advising, research grants, or laboratory leadership in the provided materials.

Christoph Beckerمشاهده پروفایل

استاد

• Sustainable Computing
• Digital Curation
• Digital Preservation
• +۷ مورد دیگر

Christoph Becker is a Full Professor at the University of Toronto, holding joint appointments in the Faculty of Information and the School of the Environment. He leads the Just Sustainability Design lab, focusing on transforming computing to align with sustainability and social justice. His research bridges critical theory, digital curation, and software engineering, emphasizing long-term societal impacts of technology. Education: PhD in Computer Science, Vienna University of Technology (2010) MSc in Economics & Computer Science, Vienna University of Technology (2007) MS and BSc in Computer Science, Vienna University of Technology (2006/2004) Research Interests: Sustainable computing, digital preservation, ethics in technology, and participatory design. His work critically examines the politics and values embedded in technology design, with projects addressing urban sustainability and equitable systems. His 2023 book Insolvent: How to Reorient Computing for Just Sustainability won multiple awards and is a seminal text in the field. Awards: Finalist, AAP PROSE Awards 2024 (Engineering and Technology) Best Paper Award, 6th International Conference on ICT for Sustainability (2019) Emerald Literati Network Award (2016) Connaught New Research Award (2015-2016) Grants & Leadership: Director of the Digital Curation Institute (2014-2024), funded by NSERC, CFI, and Ontario Research Fund. Supervises multiple PhD/Master’s students, including Eshta Bhardwaj and Han Qiao. Active in organizing workshops on ethics, requirements engineering, and sustainability. Labs & Initiatives: Leads the Just Sustainability Design lab, advocating for computing practices that prioritize environmental and social equity. Collaborates with global organizations on digital preservation tools and policies.

• Planetary Science
• Geophysics
• Computational Fluid Dynamics
• +۴ مورد دیگر

Julian Lowman is a Professor at the University of Toronto Scarborough (UTSC), specializing in planetary interiors, mantle convection, and computational fluid dynamics. His research focuses on understanding the thermal and structural evolution of planetary mantles, core-mantle interactions, and high-performance numerical modeling techniques. He holds a Ph.D. from York University (1996) and contributes to advancing geodynamic simulations for terrestrial planets and moons. Key research interests include the mechanics of mantle convection, the role of viscosity and compositional variations, and the application of high-performance computing to model planetary processes. He has explored topics such as stagnant-lid convection, plate tectonic dynamics, and the thermal evolution of planetary cores and mantles. His work bridges computational methods with geophysical observations to address questions in Earth science and planetary science. Lowman’s publications span over three decades, addressing topics from Mercury’s mantle dynamics to exoplanet tectonics. His methodologies include advanced numerical models that simulate 2D and 3D convection patterns, fluid dynamics under Arrhenius viscosity regimes, and the influence of curvature on planetary interiors. He collaborates on projects involving mantle plumes, supercontinent cycles, and the interplay between surface tectonics and deep mantle structure. Despite his extensive contributions, no specific scientific awards or grants are explicitly listed in the provided texts. He advises no named students in the available data but likely contributes to graduate training at UTSC. His research aligns with interdisciplinary themes in computational geosciences and planetary evolution.

Bill Buxtonمشاهده پروفایل

استاد مدعو

• Human-Computer Interaction (HCI)
• Design Thinking
• User Experience (UX) Design
• +۳ مورد دیگر

William (Bill) Buxton, OC, is a renowned designer, researcher, and advocate for human-centered innovation. Currently an Adjunct Professor at the University of Toronto's Department of Computer Science, he previously held roles including Partner Researcher at Microsoft Research (2005-2022), Chief Scientist at Alias|Wavefront/SGI, and faculty at the Ontario College of Art and Design. His work bridges art, design, and technology, emphasizing the social and cultural impact of interactive systems. Education: B.Mus. (Queen's University, 1973), M.Sc. Computer Science (University of Toronto, 1978) Research focuses on human-computer interaction (HCI), design thinking, and the history of innovation. He pioneered concepts like 'sketching in hardware' and contributed to foundational work on multitouch interfaces and natural user interaction. Recent talks include keynotes on ethics in technology, ubiquitous computing, and design philosophy. His writings (e.g., Sketching User Experiences ) and collections (e.g., The Buxton Collection of interactive devices) highlight his commitment to documenting design history. Honors include ACM SIGCHI Lifetime Achievement Award, Fellow of ACM, and Officer of the Order of Canada. Active in academia and industry, he advises on innovation policy and serves on design and technology boards.

Ramadan El Shatshatمشاهده پروفایل

دانشیار

• Power Distribution Systems
• Smart Grids
• Energy Management
• +۴ مورد دیگر

Ramadan El Shatshat is an Associate Professor (Teaching Stream) and Director of the Electric Power Engineering Program at the University of Waterloo's Department of Electrical and Computer Engineering. He holds a PhD from the University of Waterloo (2001) and is a registered Professional Engineer in Ontario. His research focuses on distribution system engineering, smart grids, renewable energy integration, and electric vehicle impact analysis. Dr. El Shatshat has received multiple awards, including the James A. Field Teaching Excellence Award (2016) and the University of Waterloo Outstanding Performance Award (2010, 2017, 2021). He teaches courses like ECE 360 (Power Systems and Smart Grids) and ECE 668 (Distribution System Engineering). Education: PhD in Electrical Engineering, University of Waterloo (2001) MSc in Electrical Engineering, University of Garyounis, Libya (1992) BSc in Electrical Engineering, University of Garyounis, Libya (1984) Research Interests: Smart grids and microgrids Optimization for distribution systems Electric vehicles and renewable energy integration AI-based monitoring techniques Awards: 2021 University of Waterloo Outstanding Performance Award 2018 Marsland Faculty Fellowship 2016 James A. Field Teaching Excellence Award Advising & Grants: Supervised/co-supervised 26 students (undergraduate, master's, doctoral, and postdoctoral) His work spans over 50 peer-reviewed publications and patents in fault detection, voltage control, and EV integration.

Minoru Koyamaمشاهده پروفایل

استادیار

• Neurobiology
• Developmental Biology
• Animal Biology
• +۴ مورد دیگر

Minoru Koyama is an Assistant Professor in the Department of Cell & Systems Biology at the University of Toronto Scarborough (UTSC). His research focuses on understanding the neural circuit mechanisms underlying behavioral development, particularly in zebrafish models. He employs advanced techniques such as optogenetics, voltage imaging, and CRISPR-based methods to study circuit maturation in the hindbrain and spinal cord. Education: Koyama holds a Ph.D. (2006), M.Sc. (2002), and B.Sc. (2000) in Biological Sciences from the University of Tokyo. Research Interests: His work investigates how neural circuits mature post-birth and contribute to complex behaviors, with applications to developmental brain disorders. His lab uses zebrafish as a model system, combining optics, genetics, and machine learning for behavioral analysis. Key projects include studying motor coordination development and refining imaging techniques like multi-plane microscopy and voltage indicators. Publications Highlight: Koyama’s recent work includes innovations in microscopy (e.g., HiLo speckle illumination) and genetic tools (e.g., TEMPO lineage tracing). These advancements enable precise observation of neural circuits and cellular dynamics. Lab & Recruitment: The Koyama Lab actively recruits graduate students and postdoctoral researchers. No specific grants are detailed, but his work reflects broad interdisciplinary collaborations in neuroscience and biotechnology. Labs/Teams: His lab focuses on developmental neurobiology, leveraging cutting-edge imaging and genetic engineering to explore neural circuit function across vertebrate development.

Marc Rousselمشاهده پروفایل

استاد

• Biochemical Systems Analysis
• Mathematical Biology
• Chemical Kinetics
• +۳ مورد دیگر

Marc Roussel is a Professor in the Department of Chemistry and Biochemistry at the University of Lethbridge, affiliated with the Alberta RNA Research and Training Institute. His research focuses on mathematical modeling of biochemical systems, enzyme kinetics, and systems biology. He has authored multiple books, including Foundations of Chemical Kinetics and A Life Scientist's Guide to Physical Chemistry . His work bridges mathematics and biology, emphasizing dynamical systems, delay differential equations, and model reduction techniques. He has received the 2024 Distinguished Teaching Award from the University of Lethbridge. Key research areas include biochemical networks, gene expression dynamics, and metabolic modeling. Roussel collaborates with experimentalists to study complex biological phenomena such as circadian rhythms, somite formation, and enzyme mechanisms. His contributions span theoretical frameworks, computational methods, and interdisciplinary applications in systems biology.