جست‌وجوی استاد و پژوهشگر

• Electric Power Systems
• Renewable Energy Integration
• Power System Stability and Control
• +۳ مورد دیگر

Xiaozhe Wang is an Associate Professor in the Department of Electrical and Computer Engineering at McGill University, holding the Canada Research Chair (Tier II) in Resilient and Stable Zero-Emission Electric Power Grids and the Rubin & So Foundation Faculty Scholar. He joined McGill in 2016 after a postdoctoral fellowship at MIT under Prof. Konstantin Turitsyn. He earned his Ph.D. from Cornell University (2015), with a minor in Applied Mathematics, and holds degrees from Zhejiang University (B.S., 2010) and Cornell (M.Eng., 2011). His research focuses on resilient power grids, data-driven methodologies, and cybersecurity in energy systems. Key areas include electric vehicle integration, stability assessment, and control strategies for renewable energy systems. He develops advanced techniques for uncertainty quantification, wide-area monitoring, and adversarial attack detection. Notable achievements include pioneering work on polynomial chaos expansion for probabilistic assessment and sparse identification for nonlinear dynamics. His articles explore topics like microgrid control, false data injection attacks, and decentralized energy trading. Awards: Canada Research Chair (Tier II), Rubin & So Foundation Scholar Grants/Projects: Focus on resilience, cybersecurity, and renewable integration funded via NSERC, Mitacs, and industry partnerships. He advises students through fellowships like Mitacs Elevate and Banting Postdoctoral Fellowships. His lab emphasizes interdisciplinary approaches to modern grid challenges, including lab experiments and field trials.

Jianguo Wangمشاهده پروفایل

استاد

• Multisensor Integration
• GNSS Technology
• Precision Engineering Surveying
• +۵ مورد دیگر

Dr. Jianguo Wang is a Professor in the Department of Earth and Space Science Engineering at York University's Lassonde School of Engineering. He has been a faculty member since 2006 and is a founding member of the Lassonde School. With over 35 years of academic and industrial experience, he specializes in multisensor integration, GNSS technology, and precision engineering surveying. He holds a Dr.-Ing. in Geomatics Engineering from Universität der Bundeswehr München, Germany, alongside Bachelor’s and Master’s degrees from Wuhan Technical University of Surveying and Mapping (WTUSM). His research focuses on advanced data processing methodologies, including Kalman filtering, error analysis, and LiDAR systems. He has authored/co-authored over 60 publications, including textbooks like Error Theory and Foundation of Surveying Adjustment and Foundation of Geodesy . He is a Fellow of Engineers Canada and licensed as a Professional Engineer in Ontario. Education: Dr.-Ing., Geomatics Engineering, Universität der Bundeswehr München (Germany) M.Sc., Surveying Engineering, Wuhan Technical University of Surveying and Mapping B.Sc., Surveying Engineering, Wuhan Technical University of Surveying and Mapping Dr. Wang teaches courses such as Advanced Optimization and Applications , GNSS , and Global Geophysics and Geodesy . He leads the Earth Observation Laboratory (PSE 432), focusing on multisensor integration for navigation and positioning. His work explores innovative solutions for sensor calibration, data fusion, and geospatial applications. Grants & Labs: Active in lab-based research with collaborators like Baoxin Hu, his laboratory integrates GNSS, IMUs, LiDAR, and cameras for precision navigation. His recent work addresses challenges in sensor error calibration, LiDAR point cloud accuracy, and Kalman filter enhancements.

Scott Hopkinsمشاهده پروفایل

استاد

• Physical Chemistry
• Machine Learning
• Mass Spectrometry
• +۲ مورد دیگر

Scott Hopkins is a Professor in the Department of Chemistry at the University of Waterloo, specializing in Physical Chemistry. His research integrates machine learning with experimental techniques to study ion mobility, mass spectrometry, and spectroscopic analysis. He directs the Hopkins Laboratory, focusing on computational predictions of chemical behaviors and molecular interactions. His work addresses fundamental questions in gas-phase chemistry, cluster formation, and analytical method development. Research interests span physical chemistry, computational modeling, and analytical instrumentation, with a strong emphasis on developing predictive tools for complex chemical systems. Recent investigations explore ion-solvent dynamics, fragmentation mechanisms, and machine-learning applications for spectral interpretation.

Bradley J. Siwickمشاهده پروفایل

دانشیار

• Chemical Physics
• Materials Science
• Condensed Matter Physics
• +۳ مورد دیگر

Bradley J. Siwick is an Associate Professor in the Department of Chemistry at McGill University, holding the Canada Research Chair in Ultrafast Science (Tier II). He specializes in developing ultrafast electron-based techniques to study atomic and molecular dynamics in materials and chemical systems. His work bridges chemical physics, materials science, and condensed matter physics, focusing on structural dynamics, phase transitions, and nonequilibrium states. Education: B.A.Sc. (Engineering Physics, University of Toronto, 1997), M.Sc. (Physics, 1998), Ph.D. (Physics, 2004). Postdoctoral training at FOM-AMOLF Amsterdam (2004–2006). Awards: NSERC Doctoral Prize (2005). Research interests include ultrafast electron diffraction/scattering, electron-phonon coupling, and imaging transient structural changes. Techniques developed in his lab combine electron microscopy with ultrafast laser spectroscopy to observe atomic motions on femtosecond timescales. Key areas of study are phase transitions in materials (e.g., VO₂, cuprates), nanocomposites, and extreme states of matter using facilities like the Advanced Laser Light Source (ALLS). Recent articles highlight advances in momentum-resolved phonon dynamics, polaron formation, and ultrafast imaging of 2D materials. His lab, based in Otto Maass and Rutherford buildings, collaborates on frontier projects in nonequilibrium materials science. Advising: Leads the Siwick Research Group, focusing on graduate students in chemical physics and materials science. Grants: Supported by NSERC and Canada Research Chairs funding. Labs and facilities: Otto Maass 25 laboratory and ALLS (Varennes, Quebec) for high-power laser experiments.

Christopher Mortonمشاهده پروفایل

دانشیار

• Fluid-Structure Interaction
• UAV Technology Development
• Energy Engineering
• +۷ مورد دیگر

Dr. Christopher Morton is an Associate Professor in the Department of Mechanical Engineering at McMaster University, specializing in fluid-structure interaction, UAV technology, and energy systems. His research focuses on aerodynamics, flow control, and sustainable energy solutions, with applications in aerospace and environmental engineering. Education background includes a BASc in Mechatronics Engineering (University of Waterloo, 2008), MASc (2010), and Ph.D. (2014) in Mechanical Engineering from the same institution. His work bridges experimental and computational methods, particularly in flow estimation and control using advanced diagnostics like PIV and spectral analysis. His research interests span vortex-induced vibrations (VIV), unsteady aerodynamics, and energy harvesting through fluid-structure interactions. Recent publications highlight innovations in flow field reconstruction, sensor-based monitoring, and turbulence control. His work has been recognized through awards such as the Departmental Research Excellence Award (2021-2022) and multiple teaching accolades, reflecting his dedication to both research and education. Dr. Morton currently teaches MECH ENG 4FM3 (Advanced Instrumentation for Thermo-Fluids) and MECH ENG 723 (Flow Induced Vibrations), emphasizing hands-on experimental techniques and theoretical analysis. He actively supervises graduate students and collaborates with industry partners like Atlantis Research Labs and Plains Midstream Canada. Key Research Clusters: Advanced Materials & Manufacturing, Digital & Smart Systems, Energy, and Environment. Teaching Excellence: Awarded “Professor of the Year” multiple times and recognized for outstanding teaching performance.

• Experimental Gravity
• Astrophysical Signals
• Nuclear Physics
• +۸ مورد دیگر

Reed Essick is an Assistant Professor at the Canadian Institute for Theoretical Astrophysics (CITA), University of Toronto. His research focuses on experimental gravity, astrophysical signals, and nuclear physics, with particular emphasis on neutron stars, black holes, and gravitational waves. He develops advanced statistical methods like hierarchical Bayesian inference and nonparametric analysis for interpreting observational data from pulsars and gravitational wave detectors. Dr. Essick collaborates extensively with international observatories such as LIGO, Virgo, and KAGRA, contributing to cutting-edge projects like multimessenger astronomy and precision cosmology. His work bridges computational astrophysics with observational techniques, addressing fundamental questions about dense matter and strong-field gravity. Key contributions include studies on gravitational wave equation-of-state constraints, pulsar timing analysis, and the application of machine learning to detector data. His research leverages both ground-based interferometers and space-based observations to explore extreme astrophysical environments.

Jeff Lundeenمشاهده پروفایل

دانشیار

• Quantum Optics
• Photonics
• Quantum Computing
• +۳ مورد دیگر

Dr. Jeff Lundeen is an Associate Professor in the Department of Physics at the University of Ottawa's Faculty of Science. His research focuses on experimental and theoretical quantum physics, particularly in photonics and quantum computing. He leads the Lundeen Lab, developing methods to manipulate single photons and entangled photon pairs for quantum logic, communication, and metrology applications. Research interests include experimental photonics, quantum-enhanced sensors, quantum metrology, and quantum optics. His work addresses challenges in quantum device development, such as ultra-thin imaging systems and quantum state tomography. Key contributions include direct measurements of quantum wave functions and density matrices, weak value amplification techniques, and space-compressing optics. His recent publications (2023–2025) explore neural adaptive quantum tomography, quantum metrology in noisy environments, and reconfigurable optical systems. Dr. Lundeen collaborates internationally on projects like quantum state estimation and photon pair generation in fibers. His lab emphasizes practical applications of quantum principles in sensors, communication, and imaging technologies.

Patrick Bennettمشاهده پروفایل

استاد

• Visual Perception
• Aging and Cognitive Neuroscience
• Face Identification
• +۳ مورد دیگر

Patrick Bennett is a Professor in the Department of Psychology, Neuroscience & Behaviour at McMaster University , focusing on visual perception, aging, and cognitive neuroscience. His research explores how aging affects visual processing mechanisms, face identification, and perceptual learning. Key Research Areas : Aging effects on vision, Face processing, EEG dynamics, Biological motion perception, Perceptual learning Recent Publications : Analyzed visual crowding in older adults (2025), Investigated 3D target detection mechanisms (2024), Studied face mask impacts on emotion recognition (2023) Teaching : Instructs advanced statistics and research design courses for psychology students. His work combines computational methods with behavioral experiments to understand neural processing changes across the lifespan.

Aaron Shugarمشاهده پروفایل

استاد

• Art Conservation
• Archaeological Materials
• X-ray Fluorescence Spectroscopy
• +۶ مورد دیگر

Aaron Shugar is a Professor and current Bader Chair in Art Conservation at Queen’s University. With a background in archaeometallurgy and conservation science, he specializes in non-destructive analysis techniques for cultural heritage, including X-ray fluorescence (XRF), Raman spectroscopy, and hyperspectral imaging. His work bridges art history, material degradation, and technological innovation. Honours H.B.A. in Anthropology and Law & Society from York University M.S. in Archaeological Materials from the University of Sheffield Ph.D. in Archaeometallurgy from University College London His research focuses on historic artist’s pigments , ancient metallurgy , and technical history of artifacts , with particular interest in degradation pathways and manufacturing processes. Recent publications highlight trends in AI integration with XRF analysis and preservation of modern materials in art conservation. Bader Chair in Art Conservation Mellon Foundation Professor in Conservation Science Aaron co-directed the Archaeometallurgy Laboratory at Lehigh University, served as a guest scientist at NIST, and remains a research associate at the Smithsonian Institution. He actively contributes to TEFAF’s Scientific Vetting Committee and acts as a forensic materials expert for the Court of Arbitration for Art.

• Transportation Engineering
• Location Optimization
• Geospatial Information Science
• +۴ مورد دیگر

Tae J. Kwon is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Alberta . His research spans Winter Transportation Engineering , Intelligent Transportation Systems (ITS) , Traffic Optimization , and Geospatial Information Science . Developed LoRWIS , a web-based decision support system for road weather sensor optimization Recipient of multiple awards including ITS Canada Excellence in Research and Development Award (2024) , KOFST Scientist of the Year (2024) , and Early Career Research Award (University of Alberta, 3 times) Active in professional committees like the TRB Surface Transportation Weather Research Group (2016–present) Research Highlights : Winter Road Maintenance : Advanced geostatistical and deep learning techniques for road condition monitoring Location Optimization : Pioneered models for RWIS sensor placement using hybrid geostatistical methods Intelligent Transportation Systems : Focused on big data applications for traffic safety and connected vehicles Climate Resilience : Integrated ecological vulnerability into fire hazard modeling Scientific Awards : ITS Canada Excellence in Research (2024) KOFST Scientist of the Year (2024) Donald Stanley Best Paper Award (2023) AKCSE Early Achievement Award (2021) University of Alberta Early Career Research Award (2020) Great Supervisor Award (2019) Teaching & Leadership : Teaches courses like CIV E 419 (Transportation Engineering: Highway Planning and Design) and CIV E 612 (Transportation Planning: Methodology and Techniques) Leads the Geospatial Transportation System & Sensing Solutions Lab (GeoTrans) , mentoring PhD students Juan Cuellar and Jiehao Bi Collaborates with agencies including Alberta Transportation , NSERC , and Iowa DOT

Lars Rehmannمشاهده پروفایل

استاد

• Biofuels
• Biochemical Conversion Processes
• Anaerobic Digestion
• +۴ مورد دیگر

Lars Rehmann serves as a Professor in the Department of Chemical and Biochemical Engineering within the Faculty of Engineering at the University of Western Ontario. He also holds a Visiting Professor position at RWTH Aachen University in Germany. His academic journey includes a Ph.D. in Chemical Engineering from Queen's University (Canada), a Diplom in Biotechnology from Technical University of Braunschweig (Germany), and an NSERC Post-Doctoral Fellowship at the University of Manchester (2007-2009). Dr. Rehmann's research focuses on sustainable biochemical conversion processes for producing biofuels and value-added chemicals. His work spans multiple interconnected areas including anaerobic digestion, biorefinery design, biochar applications, wastewater treatment, and microbial metabolism in Clostridia species. He has made significant contributions to understanding acetone-butanol-ethanol (ABE) fermentation processes, pyrolysis byproduct valorization, and advanced extraction techniques using ionic liquids. Analysis of his recent publications reveals a strong emphasis on circular economy approaches, particularly in utilizing biochar to enhance biogas production from aqueous pyrolysis condensates. His work increasingly integrates sustainability metrics through exergetic and techno-economic analyses, with recent research expanding into metabolic oscillation phenomena in Clostridia and novel wastewater denitrification methods using solid-phase carbon sources. NSERC Post-Doctoral Fellow (University of Manchester, 2007-2009) Dr. Rehmann maintains an active research program with numerous graduate student opportunities in biochemical engineering. His laboratory infrastructure supports advanced fermentation studies, biomass conversion processes, and analytical characterization of biofuels and biochemicals. Current research directions include developing sustainable alternatives for wastewater treatment, optimizing biochemical conversion pathways for maximum resource recovery, and investigating metabolic engineering strategies for improved product yields in microbial systems.

Corrado Mauriniمشاهده پروفایل

استاد

• Fracture Mechanics
• Damage Mechanics
• Computational Mechanics
• +۵ مورد دیگر

Corrado Maurini is a Professor in Mechanics at Sorbonne University , Paris, France. He leads two international master programs: Mécanique des Solides (Solid Mechanics) and Computational Mechanics .

Daniel Rosenbloomمشاهده پروفایل

استاد

• Climate Policy
• Sustainability Transitions
• Energy Systems
• +۳ مورد دیگر

Professor Daniel Rosenbloom is a leading academic in climate policy and sustainability transitions at Carleton University's School of Public Policy and Administration (SPPA). His research focuses on accelerating low-carbon transitions, net-zero strategies, and the governance of decarbonization pathways. He has organized high-profile events like the 2025 'Net Zero Meets Trade Disruption' workshop and engages actively in policy debates, notably critiquing carbon pricing mechanisms and advocating for integrated sustainability policies. His work bridges academic research and policy practice, addressing topics such as phase-out strategies for fossil fuels, smart grid innovations, and the political dynamics of climate action. He has secured research funding, including a $26,218 grant from the Climate Social Science Network, and collaborates with institutions like CBC News on public discourse about climate policy. Rosenbloom’s scholarship emphasizes bridging science and policy, with contributions to frameworks for accelerating pathways to net-zero emissions. Key themes include the role of policy mixes, interpretive flexibility in technology adoption, and the governance challenges of multi-system interactions in decarbonization. His research highlights the need for adaptive strategies that address both technological and socio-political dimensions of sustainability transitions.

Nediljko Budisaمشاهده پروفایل

استاد

• Synthetic Biology
• Xenobiology
• Genetic Code Engineering
• +۷ مورد دیگر

Nediljko Budisa is a Professor and Tier 1 Canada Research Chair in Chemical Synthetic Biology and Xenobiology at the University of Manitoba's Faculty of Science, Department of Chemistry. His research program focuses on expanding the fundamental biochemical capabilities of living systems through genetic code engineering and synthetic biology approaches. Dr. Budisa's research spans multiple cutting-edge areas in synthetic biology, with particular emphasis on genetic code expansion , non-canonical amino acid incorporation , and protein engineering . His laboratory employs both classical biochemical techniques and advanced computational methods to develop orthogonal translation systems, engineer novel enzymes, and create synthetic cells with expanded biochemical repertoires. His work bridges chemistry, biology, and engineering to address fundamental questions about life processes while developing practical applications in biotechnology and medicine. Analysis of Dr. Budisa's publication record reveals a consistent trajectory of innovation in genetic code engineering, with recent work increasingly integrating machine learning approaches for protein design. His research spans from fundamental studies of protein structure-function relationships to applied research in metabolic engineering and antiviral strategies, demonstrating the versatility of synthetic biology approaches. Tier 1 Canada Research Chair in Chemical Synthetic Biology and Xenobiology Dr. Budisa leads an active research program supported by his Canada Research Chair position, with extensive collaborations across Canada and internationally. His work has resulted in numerous patents and commercial applications in biotechnology. He actively participates in the synthetic biology community through initiatives like Prairie iGEM BioExM and has delivered public lectures on methodological challenges in expanded genetic code research. His research is conducted through the Chemical Synthetic Biology and Xenobiology laboratory at the University of Manitoba, where his team explores the social, cultural, educational, ethical and philosophical aspects of synthetic biology alongside technical innovations, reflecting a comprehensive approach to advancing this transformative field.

Patrick Desrosiersمشاهده پروفایل

استاد مدعو

• Dimensionality Reduction
• Dynamical Systems
• Mathematical and Computational Neuroscience
• +۸ مورد دیگر

Patrick Desrosiers serves as an Adjunct Professor in the Department of Physics, Physical Engineering and Optics within Université Laval's Faculty of Science and Engineering, while conducting neuroscience research at the CERVO Brain Research Center. He co-directs Dynamica, a multidisciplinary complex systems research group, and participates in UNIQUE (neuroscience-AI integration) and CIMMUL (mathematical modeling applications). His academic training spans physics and mathematics at Université Laval, the University of Melbourne, and CEA-Saclay. Dr. Desrosiers' research centers on mathematical and computational neuroscience , with signature contributions in dimensionality reduction and network resilience analysis . His work bridges biological and artificial neural networks , zebrafish brain mapping , and neurovascular coupling using advanced techniques from spectral graph theory , random matrix theory , and dynamical systems . Current investigations focus on neural decoding under chronic stress and structural-functional relationships in brain networks. Analysis of his 2023-2025 publications reveals three dominant trajectories: (1) Low-dimensional representations for predicting cognitive decline and neural dynamics, (2) Network reconstruction methodologies applied to neuroscience and biodiversity, and (3) Development of computational tools like NeuroTorch for neural data analysis. His work consistently integrates mathematical rigor with biological relevance across species and scales. His recognition includes: Professeur étoile prize for exceptional teaching (Faculty of Science and Engineering, Université Laval, 2018) As Dynamica co-director, he mentors a research team comprising Antoine Légaré, Arthur Légaré, Benjamin Claveau, Jordan Charest, Marziyeh Pourmousavi, Pierre-Luc Larouche, Vincent Savard, Vincent Thibeault, and Zahra Yazdani. His collaborative framework connects physics, mathematics, and neuroscience to address fundamental questions in neural network organization, with funding evident through sustained publication output and lab operations. Dynamica Lab ( https://dynamicalab.github.io/ ) serves as the operational hub for his interdisciplinary research, maintaining active collaboration with CERVO Brain Research Center and international institutions.