جستجوی استاد راهنمای دانشگاهی

Dominique Orbanمشاهده پروفایل

استاد

• Numerical Optimization
• Nonlinear Programming
• Numerical Linear Algebra
• +۴ مورد دیگر

Dominique Orban is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He holds a Ph.D. from FUNDP Namur and INP Toulouse and has established himself as a leading researcher in numerical optimization. His academic affiliations include the Institute for Data Valorization (IVADO) and the Decision Analysis Study and Research Group (GERAD). Professor Orban's research focuses on numerical mathematics, particularly continuous nonlinear optimization, nonlinear systems of equations, and numerical linear algebra. His work involves designing specialized numerical algorithms for optimization problems, with particular interest in degeneracy and ill-posed problems. His research spans theoretical development of algorithms, their implementation in software, and applications to real-world problems such as image reconstruction, optimal structure design, and optimization under differential constraints. Analysis of his recent publications (2021-2025) reveals a strong focus on developing practical optimization algorithms with theoretical guarantees. His work spans multiple areas including nonsmooth optimization, iterative methods for linear systems, regularization techniques, and software implementation in Julia. A notable trend is his increasing focus on developing open-source software tools that make advanced optimization methods accessible to practitioners. Over 160 publications including journal articles, conference papers, and technical reports Multiple publications in top optimization journals each year through 2025 Strong emphasis on both theoretical foundations and practical implementation Increasing focus on Julia-based optimization software development Professor Orban has successfully supervised 9 doctoral students and 13 master's students to completion, demonstrating his commitment to mentoring the next generation of researchers. His supervision style appears to balance theoretical depth with practical implementation skills, preparing students for both academic and industry careers. His research has been supported through various institutional and collaborative grants, enabling him to maintain an active research program with multiple ongoing projects. His contributions to the field include significant software developments such as Krylov.jl, JSOSuite.jl, and DCISolver.jl, which have made advanced optimization techniques more accessible to the broader scientific community. These tools reflect his philosophy of bridging theoretical optimization with practical computational implementation.

Rachid Boukhiliمشاهده پروفایل

استاد

• Composite materials
• Mechanical engineering
• Aerospace engineering
• +۷ مورد دیگر

Rachid Boukhili is a Professor in the Department of Mechanical Engineering at Polytechnique Montréal, where he has established himself as a leading researcher in composite materials and mechanical engineering. His academic career spans multiple decades with continuous research productivity through 2025, demonstrating sustained scholarly impact. He is affiliated with the Centre de recherche sur les systèmes polymères et composites à haute performance (CREPEC) and contributes to multiple Centers of Excellence including Innovative materials, Transport and Sustainable Infrastructure, and Energy, Water and Resources. Professor Boukhili's research focuses on composite materials, with particular expertise in optimization of composite manufacturing parameters, analysis of bonded and bolted assemblies, characterization of physical and mechanical properties, and behavior of composites under fatigue and mechanical shock. His work bridges fundamental material science with practical engineering applications, particularly in aerospace, automotive, and hydraulic power generation sectors. He has made significant contributions to understanding damage tolerance, durability, and failure mechanisms in composite structures. His publication record shows a clear progression from foundational work on composite mechanics to increasingly specialized applications and advanced testing methodologies. Recent publications (2023-2025) emphasize sustainable manufacturing techniques, recycling of composite materials, and advanced characterization methods using digital image correlation. This trajectory reflects both continuity in core expertise and adaptation to contemporary engineering challenges related to sustainability and advanced manufacturing. Scientific Recognition: 1996 - Prix d'excellence en enseignement et en recherche, École Polytechnique de Montréal Professor Boukhili has supervised 16 PhD students and 24 master's students throughout his career, demonstrating significant mentorship impact. His teaching responsibilities include MEC4330 - Composite Materials, MEC3420 - Polymer Materials, and MEC6306A - Mechanical Behavior of Composite Materials, directly connecting his research expertise with student education. His research group at CREPEC continues to produce high-impact work in composite materials characterization, manufacturing optimization, and sustainable processing techniques. As a member of multiple Centers of Excellence, Professor Boukhili's work bridges fundamental research with practical applications in transportation infrastructure, energy systems, and sustainable technologies. His recent focus on recycling technologies and sustainable manufacturing reflects contemporary priorities while maintaining his core expertise in composite materials mechanics and characterization.

Njuki W. Mureithiمشاهده پروفایل

استاد

• Mechanical Engineering
• Dynamics
• Fluid-Structure Interactions
• +۵ مورد دیگر

Njuki W. Mureithi is a Full Professor in the Department of Mechanical Engineering at Polytechnique Montréal. He holds a B.Eng., M.Eng., and Ph.D. from McGill University and has established himself as a leading researcher in mechanical vibrations and fluid-structure interactions. His academic career spans multiple decades, with continuous research productivity evident from publications dating back to 2003 through to 2025. Professor Mureithi's primary research focuses on nonlinear dynamics and control in fluid-structure interactions, with particular emphasis on fluidelastic instability in tube and rod bundles subjected to single-phase and two-phase flows. His work has significant applications in nuclear engineering, particularly concerning fuel rod vibrations and steam generator tube dynamics, as well as broader implications for energy systems and sustainable infrastructure. His research bridges theoretical mechanics with practical engineering applications, often addressing critical safety and performance issues in mechanical systems. His recent publications (2023-2025) demonstrate continued innovation in the field, with work expanding into renewable energy applications such as photovoltaic-thermal systems and bio-inspired approaches to vibration mitigation. Professor Mureithi has maintained a consistent publication record with numerous articles in high-impact journals including Nuclear Engineering and Design, Journal of Fluids and Structures, and Journal of Pressure Vessel Technology. Professor Mureithi has supervised 15 doctoral students and 16 master's students to completion, demonstrating a strong commitment to graduate education. His teaching responsibilities include 'Vibrations' (MEC2435) and 'Vibration and Stability' (MEC8902), courses that directly align with his research expertise. He is affiliated with multiple centers of excellence at Polytechnique Montréal, with his primary affiliation in 'Energy, water and resources' and secondary affiliations in 'Modeling and Artificial Intelligence' and 'Transport and Sustainable Infrastructure.' His research methodology combines experimental investigations, analytical modeling, and computational techniques to address complex vibration phenomena in mechanical systems. Professor Mureithi's work has practical implications for nuclear safety, energy system design, and mechanical component reliability, making significant contributions to both academic knowledge and engineering practice in mechanical engineering.

Marcelo Reggioمشاهده پروفایل

استاد

• Fluid Mechanics
• Computational Fluid Dynamics
• Lattice Boltzmann Method
• +۳ مورد دیگر

Marcelo Reggio is a Full Professor in the Department of Mechanical Engineering at Polytechnique Montréal, where he has established a significant research career spanning fluid dynamics and computational methods. He is an active member of the Fluid Dynamics Laboratory (LADYF), focusing on cutting-edge simulations of complex fluid phenomena. His educational background includes: Baccalaureate from Chile Master of Applied Science (M.Sc.A.) from Polytechnique Montréal Ph.D. from Polytechnique Montréal Research Focus: Professor Reggio's work centers on Computational Fluid Dynamics (CFD) with specialization in the Lattice Boltzmann Method (LBM). His research addresses fundamental and applied challenges in: Turbomachinery design optimization Wind turbine aerodynamics and icing effects Rarefied gas flows through porous media Multicomponent and multiphase flow modeling River current dynamics This work bridges theoretical fluid mechanics with industrial applications in energy and manufacturing. Publication Trends: Analysis of his 15 most recent articles (2016-2024) reveals dominant themes: advanced LBM techniques for non-equilibrium gas flows, validation of open-source CFD codes, multiphase interactions, and stochastic modeling of porous materials. His methodological innovations consistently target improved accuracy in complex physical scenarios. Academic Supervision: Professor Reggio maintains an active research group, having supervised: 12 doctoral students 20 master's students Student theses frequently explore LBM applications, turbomachinery, and numerical method development. Laboratory Leadership: At the Fluid Dynamics Laboratory (LADYF), he contributes to developing computational frameworks for fluid simulation, emphasizing GPU acceleration and industrial problem-solving.

François-Raymond Boyerمشاهده پروفایل

دانشیار

• Computer Architecture
• VLSI Systems
• Microelectronics
• +۴ مورد دیگر

François-Raymond Boyer is an Associate Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. He holds a B.Sc. and Ph.D. from Université de Montréal and teaches courses in programming and digital audio. His research spans: Computer architecture and VLSI systems Network processing and traffic management Digital audio signal processing Hardware acceleration and optimization He is affiliated with ReSMiQ (Strategic Cluster for Microsystems) and OICRM (Music Research Observatory). Recent publications focus on 5G network processing, modular programming frameworks, and high-speed traffic management architectures, primarily in IEEE Access and IEEE Transactions on VLSI Systems. Professor Boyer has supervised 3 PhD and 6 Master's students, with research topics including network architecture, audio processing, and hardware design. No scientific awards are mentioned in the available records.

• Neutron Spectroscopy
• Condensed Matter Physics
• Quantum Chemistry
• +۸ مورد دیگر

Mohamed Zbiri is a neutron spectroscopy scientist at the Institut Laue-Langevin (ILL) , specializing in condensed matter physics, quantum chemistry, and high-performance computing. His research combines neutron scattering measurements and atomistic simulations to study functional materials with societal impact, particularly in energy applications. Currently, he is a member of the IN5 direct-geometry cold-neutron disk chopper TOF spectrometer team and serves as Elected Secretary of College 7 (2025-present) at ILL, previously holding roles as Nominated Specialist (2015-2019) and Elected Secretary (2011-2015). Habilitation (HDR), Physics - University of Grenoble I (Joseph Fourier University) PhD, Chemistry - University of Freiburg, Switzerland Master, Astrophysics - University of Nice Sophia Antipolis and Côte d'Azur Observatory Bachelor, Physics - University Cadi Ayyad, Morocco His research interests span vibrational and structural dynamics of organic semiconductors , phonon-structure-magnetism interplay in correlated systems , and lattice dynamics in transition metal frameworks . He has contributed to neutron scattering studies on materials for greener hydrogen fuel production , plastic solar cells , and water-splitting photocatalysts . Zbiri also supervises PhD student Stella d'Ambrumenil and collaborates with institutions like Imperial College London , Delft University of Technology , and University of Oxford . He actively organizes scientific seminars and events at ILL and the UK Neutron and Muon Science and User Meeting (NMSUM).

Kevin Boldtمشاهده پروفایل

استادیار

• Exercise Physiology
• Biomechanics
• Muscle Physiology
• +۵ مورد دیگر

Kevin Boldt is an Assistant Professor in the School of Kinesiology at Western University, specializing in exercise physiology and biomechanics. His research program focuses on understanding how the body adapts to diet and exercise interventions, with particular emphasis on enhancing cardiovascular and muscular adaptation to improve health, fitness, and performance outcomes. Dr. Boldt's research interests include understanding the mechanisms of adaptation to exercise, enhancing cardiovascular and muscular adaptation through diet and exercise interventions, and muscle and exercise mechanics. His work bridges basic science with clinical applications, examining how lifestyle factors affect various physiological systems under conditions including cancer, aging, obesity, and muscular weakness. His research program has been recognized with over $580,000 in research funding and more than 45 national and international awards. Dr. Boldt's publications reveal strong expertise in cardiac muscle physiology, skeletal muscle mechanics, diet-exercise interactions, and biomechanical analysis of movement, with particular focus on how exercise interventions can protect against diet-induced physiological impairments. Selected Awards: Natural Sciences and Engineering Research Council of Canada Postdoctoral Fellowship (2022-2024) Vanier Canada Graduate Scholarship (2017-2020) Alberta Innovates Health Solutions Clinician Fellowship (2014-2017) Natural Sciences and Engineering Research Council of Canada Alexander Graham Bell Canada Graduate Scholarship (2014-2015) Dr. Boldt serves on the Canadian Society for Exercise Physiology Board of Directors (2021-2025) and is an Associate Editor for the Journal of Applied Physiology, Nutrition, and Metabolism (2021-2024). His teaching expertise spans biomechanics, exercise physiology, exercise testing and prescription, and professional practice courses at both undergraduate and graduate levels.

Matthew Gardnerمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Behavioral Neuroscience
• Computational Neuroscience
• +۴ مورد دیگر

Matthew Gardner is an Assistant Professor in the Department of Psychology at Concordia University, conducting cutting-edge research on neural prediction mechanisms. His work bridges cognitive neuroscience and behavioral neuroscience through experimental and computational approaches to understand how the brain generates predictions that guide decision-making and behavior. His primary research investigates how sensory and cognitive systems interact to create specific predictions of future events, employing electrophysiology and optogenetic manipulations in rats performing behavioral tasks alongside computational modeling. A critical focus is examining how these predictive mechanisms become disrupted in eating disorders and addiction, with implications for understanding the neural basis of psychiatric conditions. His work reveals fundamental principles of how predictive information guides behavior under both healthy and pathological conditions. Professor Gardner maintains a robust publication record in premier neuroscience journals including Nature, Nature Neuroscience, and Journal of Neuroscience. Analysis of his 15 most recent publications shows consistent emphasis on orbitofrontal cortex function, value-based decision-making, and prediction error signaling. His research demonstrates evolutionary progression from basic neural representation studies to disease mechanism investigations, with increasing focus on computational modeling approaches to integrate findings. While specific grant details aren't provided, his extensive publication output in high-impact journals indicates successful funding and active research programs. His frequent collaborations, particularly with Dr. Geoffrey Schoenbaum, suggest strong laboratory operations and likely supervision of graduate students in experimental neuroscience techniques. The lab appears focused on training researchers in both wet-lab neuroscience methods and computational analysis skills.

• Sustainable Development
• Circular Economy
• Innovative Materials
• +۶ مورد دیگر

Claudiane Ouellet-Plamondon is a Full Professor in the Department of Construction Engineering at École de technologie supérieure (ÉTS), where she holds the Canada Research Chair on Sustainable Multifunctional Construction Materials. She directs research at the Pavements and Bituminous Materials Laboratory (LCMB) and collaborates with the Interdisciplinary Research Centre for Sustainable Development (CIRODD) and Water Engineering Laboratory (LGEPE). Her credentials include a Ph.D. from the University of Cambridge and postdoctoral training at ETH Zurich. Her research encompasses: Sustainable Materials: Geopolymers from industrial waste, bio-based composites, functionalized clays. Advanced Manufacturing: AI-optimized 3D concrete printing, robotic fabrication. Circular Economy: Valorization of bauxite residue, dredged sediments, and agricultural byproducts. Environmental Impact: Life cycle assessment, urban ecological footprint modeling, decarbonization strategies. She has received significant recognition, including the Mercator Fellowship (2024), France-Quebec Science Ambassadorship (2022), and Royal Society of Chemistry Award (2023). Her work integrates computational methods like neural networks for material design and machine learning for construction automation. Professor Ouellet-Plamondon supervises a large cohort of graduate students working on projects ranging from self-sensing alkali-activated materials to mycelium-based insulation. She maintains robust industry partnerships, particularly in aluminum recycling and sustainable infrastructure, and teaches courses on materials science and specialized engineering topics.

Tony Wongمشاهده پروفایل

استاد

• Aeronautics and Aerospace
• Intelligent and Autonomous Systems
• Industrial Internet of Things
• +۳ مورد دیگر

Tony Wong is a Professor in the Department of Systems Engineering at École de technologie supérieure (ÉTS), specializing in aeronautics, autonomous systems, and industrial automation. He holds affiliations with three key research laboratories: the Control and Robotics Laboratory (CoRo), LARCASE (Aeronautical Research), and SYNCHROMEDIA (Multimedia Communication). His work bridges theoretical optimization and practical applications, particularly in UAV design, renewable energy, and blockchain logistics. Research interests span: Aeronautics/Aerospace : Morphing wing optimization, computational fluid dynamics, UAV performance enhancement. Intelligent Systems : Robotic automation, machine learning for predictive maintenance, low-code industrial solutions. Sustainable Technologies : Hybrid energy systems, IoT for resource optimization, edge computing deployments. Dr. Wong mentors 47+ graduate students, with recent projects including wind-tunnel validations of morphing wings, AI-driven supply chains, and solar energy forecasting. His publication record (31+ journal articles since 2021) demonstrates consistent contributions to aerodynamic design and computational intelligence. While no awards are documented, his leadership in collaborative labs underscores institutional recognition. Laboratory engagements focus on experimental validation and industrial partnerships, utilizing ÉTS facilities like the Price-Païdoussis Wind Tunnel and advanced flight simulators. Current projects prioritize sustainability, including aerodynamic drag reduction and blockchain-enabled cost optimization.

Justin Botterillمشاهده پروفایل

استادیار

• Behavioural neuroscience
• Epilepsy
• Neuroanatomy
• +۷ مورد دیگر

Dr. Justin Botterill serves as Assistant Professor in the Department of Anatomy, Physiology and Pharmacology at the University of Saskatchewan, where he leads a neuroscience research program investigating hippocampal circuits in behavioral disorders and epilepsy. His work bridges molecular, circuit, and behavioral levels to address fundamental questions in cognitive neuroscience and neurological disease mechanisms. Dr. Botterill's academic journey includes: BSc (High Honours) in Psychology, University of Saskatchewan PhD in Cognition and Neuroscience, University of Saskatchewan Postdoctoral Fellowship, Department of Psychology, University of Toronto Scarborough Postdoctoral Fellowship, Center for Dementia Research, Nathan Kline Institute & NYU Langone Health His research program focuses on dentate gyrus circuitry with dual emphases: 1) Mossy cell regulation of cognitive/affective behaviors using optogenetics and behavioral pharmacology, and 2) Temporal lobe epilepsy mechanisms through EEG, circuit manipulations, and therapeutic testing. The lab employs transgenic models to dissect specific cell populations' roles in seizure generation and cognitive comorbidities, addressing critical gaps in treatment-resistant epilepsy. Analysis of his 2020-2024 publications reveals consistent focus on hippocampal microcircuitry in disease models, with increasing emphasis on sex differences and therapeutic interventions. His work spans molecular neuroscience, systems-level circuit analysis, and behavioral phenotyping, frequently appearing in top-tier journals like eLife and The Journal of Neuroscience. Key recognitions include: Cover article designation in The Journal of Neuroscience (2021) Multiple eNeuro features (homepage cover, blog highlight, featured research) Society for Neuroscience Zoom Background Images feature Dr. Botterill actively mentors graduate students through direct supervision of experimental design, technical skill development, and manuscript preparation. His recruitment notice specifically seeks students interested in behavioral neuroscience and epilepsy research, indicating robust lab funding and project continuity. The lab's multidisciplinary approach fosters strong publication output with clear translational pathways. Located in the Health Sciences Building (Lab: GD10 HLTH), the Botterill Lab maintains state-of-the-art facilities for rodent behavioral testing, circuit manipulation, and neural recording. The team collaborates extensively with epilepsy clinicians and computational neuroscientists to bridge basic research and clinical applications, with particular focus on developing targeted interventions for treatment-resistant temporal lobe epilepsy.

• Bioinformatics
• Genomics
• Non-coding RNA Research
• +۴ مورد دیگر

Michelle Scott is a Full Professor in the Department of Biochemistry and Functional Genomics at the University of Sherbrooke's Faculty of Medicine and Health Sciences, with a concurrent appointment in the Computer Science Department. Her academic trajectory shows progressive advancement from Assistant Professor (2011) to Associate Professor (2016), culminating in her current Professorship (2021). She directs an active research program focused on non-coding RNA biology, particularly small nucleolar RNAs (snoRNAs), with emphasis on their roles in ovarian cancer and transcriptomic regulation. Her research interests center on bioinformatic characterization of RNA networks , development of computational tools for RNA-seq analysis (including CoCo and snoDB), and molecular mechanisms of snoRNAs in cancer . Recent work employs low-structure-bias sequencing (TGIRT-seq) to overcome technical limitations in transcriptome analysis, revealing previously undetected non-coding RNAs and non-canonical snoRNA functions. Her group investigates snoRNA roles in alternative splicing regulation, cancer progression (particularly high-grade serous ovarian carcinoma), and nucleolar biology. The 15 most recent publications demonstrate strong focus on methodological innovation in transcriptomics (6 articles), snoRNA functional characterization (5 articles), and cancer genomics applications (4 articles). Key trends include addressing RNA-seq reproducibility issues, developing computational frameworks for multi-mapped read resolution, and expanding the functional landscape of snoRNAs beyond canonical roles. FRQS Senior Researcher Fellowship (2025) RECMUS Award for Supervision Excellence (2021) Tremplin Award for Early-Career Research (2021) Multiple FRQS Junior Fellowships (2017, 2021) Dean's List for Exceptional Performance (2015-2021) Scott has successfully mentored numerous graduate students (including 15 first-author publications by trainees) and secured substantial competitive funding, including a $$1\text{,}525\text{,}000$$ CIHR Project Grant (2021-2026) on proteogenomics approaches to define the human proteome. Her laboratory maintains strong affiliations with the CHUS Research Center and actively participates in the RiboClub network, which she has organized since 2014. Current work focuses on characterizing nucleolar snoRNAs in ovarian cancer and improving transcriptomic annotation frameworks.