جست‌وجوی استاد و پژوهشگر

Michael Haganمشاهده پروفایل

استاد

• Biophysics
• Soft Condensed Matter
• Active Matter
• +۴ مورد دیگر

Michael Hagan is a Professor of Physics at Brandeis University, affiliated with the Martin A. Fisher School of Physics. His research focuses on understanding the physical principles governing assembly and dynamic organization in biological and biomimetic systems. He employs computational and theoretical methods, including machine learning, to study viral capsid assembly, bacterial microcompartments, and active matter systems. His work bridges length and time scales to elucidate emergent behaviors in nonequilibrium systems. Education: PhD in Physics from the University of California, Berkeley (2003). His group, the Hagan Lab, collaborates with experimentalists and has received funding from the DOE, NSF, Keck Foundation, and NIH. Key areas include viral genome assembly optimization, bacterial microcompartment formation, and the dynamics of active nematics. Recent studies explore defect-ordered phases, phase separation in active colloids, and programmable self-assembly of geometric structures. Research interests span biophysics, soft condensed matter, and computational modeling. His lab's work has implications for synthetic biology, drug design, and material science. Collaborations with experimental groups (e.g., Z. Dogic's lab) have led to discoveries in active matter dynamics and biomimetic systems.

Ronald D. Haynesمشاهده پروفایل

استاد

• Numerical Analysis
• Partial Differential Equations
• Optimization Algorithms
• +۲ مورد دیگر

Ronald D. Haynes is a Full Professor and Chair of Scientific Computing Graduate Programs in the Department of Mathematics and Statistics at Memorial University of Newfoundland. He leads research in numerical methods for PDEs and industrial-scale optimization problems. His work develops advanced domain decomposition techniques, adaptive mesh methods, and parallel computing approaches for solving complex physical systems. Applications include modeling pitting corrosion of materials, predicting rock strength for drilling optimization, and simulating multiphase fluid flows in porous media. Recent publications demonstrate innovations in mesh adaptation, parallel algorithms, and machine learning applications for industrial problems. Collaborative projects have addressed reservoir simulation, drill bit analysis, and corrosion prediction through integrated computational approaches. Professor Haynes has received the President's Award for Outstanding Research (2018) and Dean of Science Distinguished Teaching Award (2017). He serves as Co-editor-in-chief of the CAIMS Mathematics in Science and Industry Journal and was President-Elect of the Canadian Applied and Industrial Mathematics Society (2023-2025). He maintains active doctoral supervision with current research groups focusing on domain decomposition methods, closest point algorithms, and optimization techniques. Industry partnerships include projects with ExxonMobil and Global Maritime addressing drilling optimization and mooring design challenges.

Donald Frenchمشاهده پروفایل

استاد

• Applied Mathematics
• Numerical Analysis
• Mathematical Biology
• +۳ مورد دیگر

Donald French is a Full Professor in the Department of Mathematical Sciences at the University of Cincinnati, holding this position since 1999. Additionally, he has been a Contractor/Consultant at Wright-Patterson Air Force Base since 2010. He earned a PhD in Applied Mathematics from Cornell University (1985), an MS in Applied Mathematics from Cornell (1983), and a BA in Mathematics and Physics from the State University of New York at Oswego (1980). His research focuses on interdisciplinary mathematical modeling, particularly in Cellular Physiology and Neuroscience. Key areas include inverse problems in olfactory cilia dynamics, neuronal networks, and biofilms. He has also contributed extensively to numerical analysis, specializing in error analysis for finite element methods, meshfree techniques, and discontinuous Galerkin methods. Research Highlights: Development of energy-preserving numerical schemes for time-dependent PDEs in phase transitions and viscoelasticity. Analysis of meshfree and discontinuous Galerkin methods for diffusion problems. Collaboration with Steven Kleene on olfactory cilia modeling since 2001. His work spans computational neuroscience, fluid dynamics, and aerospace engineering, with recent advancements in trajectory planning for unmanned vehicles using PDE-based models. French has secured over $600,000 in NSF grants for projects like ion channel distribution modeling (2005–2009) and mathematical physiology career development (2002–2004). French has held leadership roles, including Graduate Program Director at UC (2015–2017 and 1999–2001), and served on Taft Research and departmental committees. His teaching includes advanced courses in numerical analysis, PDEs, and mathematical biology, which he helped pioneer at UC.

• Sepsis
• Innate Immunity
• Neonatal Immunology
• +۵ مورد دیگر

Andrew Currie is a Professor and Associate Dean (Research & Innovation) at Murdoch University's School of Medical, Molecular and Forensic Sciences, within the College of Environmental and Life Sciences. He leads the Sepsis Diagnostics Research Group at the Centre for Molecular Medicine and Innovative Therapeutics and co-heads the Neonatal Infection and Immunity Team with Clinical Professor Tobias Strunk at the Wesfarmers Centre of Vaccine & Infectious Diseases at Telethon Kids Institute. His research focuses on immunology and infectious diseases in pediatric populations, particularly sepsis diagnostics and neonatal immunity. Education: PhD (Immunology, University of Western Australia, 2001); BSc (Biotechnology with Honors, Murdoch University, 1997). Research Interests: Sepsis diagnostics, innate immunity mechanisms in neonates, medical biotechnology for diagnostics (e.g., biosensors), and translational research in pediatric infections. Collaborates internationally with institutions in Canada, Denmark, the UK, US, and China. Aims to reduce sepsis burden in vulnerable populations through advanced molecular methods and interdisciplinary partnerships. Key Affiliations: Lead of Sepsis Diagnostics Research Group (Murdoch University), Senior Lecturer in Immunology, Honorary Associate at Kids Research Institute Australia. Past roles include leadership in the Centre for Molecular Medicine and Innovative Therapeutics. Scientific Contributions: Over 100 peer-reviewed articles focusing on sepsis biomarkers, neonatal immunity, tick-borne diseases, and clinical trials for interventions like vitamin C and probiotics in critical illness. Active in developing precision medicine approaches for neonatal sepsis. Grants & Funding: Co-leads major projects on sepsis diagnostics and neonatal infection, supported by national and international grants. Collaborates on multi-institutional initiatives. Labs/Teams: Sepsis Diagnostics Research Group (Murdoch) and Neonatal Infection and Immunity Team (Telethon Kids Institute). Works closely with the Personalised Medicine Centre and Health Futures Institute.

Reza Fotouhiمشاهده پروفایل

استاد

• Robotics (Dynamics and Control)
• Structural Dynamics and Vibrations
• Computational Mechanics (Finite Element and Optimization)
• +۴ مورد دیگر

Reza Fotouhi is a Professor in the Department of Mechanical Engineering at the University of Saskatchewan, specializing in Robotics (Dynamics and Control), Structural Dynamics and Vibrations, Computational Mechanics, and Biomechanics. He leads research in agricultural robotics, finite element modeling, and teleoperated systems. Education: BSc, MSc (Iran) MSc, PhD (University of Saskatchewan) His research focuses on human-robot interaction, vibration control for flexible manipulators, composite material applications, and teleultrasound systems. He has developed mobile platforms for crop phenotyping and optimized control strategies for robotic arms. Recent Article Trends: His work spans telerobotic medical systems, agricultural automation, advanced control algorithms (e.g., Particle Swarm Optimization), and structural analysis of composite materials. Key subfields include musculoskeletal imaging, path planning, and dynamic modeling of flexible systems. Research Groups: Applied Mechanics and Machine Design Control Systems, Robotics and Fluid Power Engineering for Agriculture

Marina Freire-Gormalyمشاهده پروفایل

استادیار

• Renewable Energy Systems
• Water Treatment Technologies
• Machine Learning Applications
• +۵ مورد دیگر

Marina Freire-Gormaly is an Assistant Professor in the Mechanical Engineering Department at York University's Lassonde School of Engineering. Her research focuses on renewable energy-powered water treatment systems, machine learning for smart design, advanced manufacturing, and sustainable engineering solutions for remote communities. She holds a PhD and M.A.Sc. from the University of Toronto, specializing in carbon capture and storage technologies. She has worked on nuclear energy projects at Ontario Power Generation and contributed to World Bank sustainability assessments. She currently chairs the Canadian Society of Mechanical Engineers' Student and Young Professional Affairs committee. Education: PhD in Mechanical Engineering, University of Toronto M.A.Sc. in Mechanical Engineering, University of Toronto Research Interests: She pioneers solar-powered reverse osmosis systems, energy recovery mechanisms, and IoT-driven smart systems. Her lab explores nanotechnology applications in environmental sustainability, including carbon capture and aquatic remediation. She integrates machine learning for optimizing energy-water nexus challenges in off-grid regions. Key Contributions: Developed models for membrane fouling in desalination systems, advanced pore network characterization for geologic CO2 storage, and designed automated renewable energy systems. Her work bridges engineering innovation with global sustainability goals. Grants & Collaborations: Engages with industries like Honda Canada and Trane Canada on sustainability initiatives. Supervises graduate students in emerging areas like nanobubble technology and direct air capture systems. Lab Activities: The Freire-Gormaly Lab focuses on clean energy-water systems, with current projects involving nano-technology for space applications (Canadian Space Agency collaboration) and life cycle assessments of carbon storage technologies.

Stephen Pankavichمشاهده پروفایل

استاد

• Partial Differential Equations
• Kinetic Theory
• Mathematical Biology
• +۴ مورد دیگر

Stephen Pankavich is a Professor and Department Head in the Department of Applied Mathematics and Statistics at the Colorado School of Mines. He holds a PhD in Mathematical Sciences from Carnegie Mellon University, with research focused on partial differential equations, kinetic theory, and mathematical biology. His work bridges theoretical analysis and computational methods, addressing challenges in plasma dynamics, epidemiological modeling, and multiscale systems. Education: PhD, Mathematical Sciences, Carnegie Mellon University (2005) MS, Mathematical Sciences, Carnegie Mellon University (2001) BS, Mathematical Sciences, Carnegie Mellon University (2000) Research interests include the analytical and numerical study of collisionless plasmas, HIV dynamics, and epidemiological models. He has received awards such as the W.M. Keck Mentorship Award and the Colorado School of Mines Alumni Teaching Award. His articles explore topics like plasma decay rates, HIV therapy models, and particle-tracking algorithms. He has advised over 20 graduate and undergraduate students, contributing to impactful research in applied mathematics and computational science.

Doug L. Jamesمشاهده پروفایل

استاد

• Computer Graphics
• Computer Sound Synthesis
• Physically Based Modeling and Animation
• +۳ مورد دیگر

Doug L. James is a Full Professor of Computer Science at Stanford University since 2015, following roles as Associate Professor at Cornell University (2006-2015) and Assistant Professor at Carnegie Mellon University (2002-2006). He holds a PhD in Applied Mathematics from the University of British Columbia (2001), alongside earlier degrees from the same institution and the University of Western Ontario. His research focuses on computer graphics, sound synthesis, and physically-based modeling, with notable contributions to fluid simulation, cloth animation, and medical modeling. Key achievements include the 2012 Technical Achievement Award from the Academy of Motion Picture Arts and Sciences for 'Wavelet Turbulence,' and the 2013 Katayanagi Prize. He serves as a consulting Senior Research Scientist at Pixar Animation Studios and has led roles like Technical Papers Chair at SIGGRAPH 2015. His work integrates physics-based principles with interactive systems, emphasizing real-time applications and data-driven methods. Research interests span sound synthesis for animations (e.g., cloth, water, impact sounds), deformable models for medical simulation, and tools like 'svMorph' for virtual surgery planning. His publications reflect a blend of algorithmic innovation and practical applications in film, gaming, and healthcare.

• Continuum Mechanics
• Metamaterials
• Composite Materials
• +۵ مورد دیگر

William Parnell is a Professor of Applied Mathematics at the University of Manchester's School of Mathematics. His research focuses on continuum mechanics, metamaterials, and industrial composites, with applications in soft tissue mechanics and acoustic wave manipulation. He leads the Mathematics of Waves and Materials (MWM) group and co-founded the Manchester Materials Modelling Centre (M3C). He has held roles including EPSRC Fellowship 'NEMESIS' (2014-2019) and its extension, contributing to transformative materials science. Education: BSc Mathematics (First Class), University of Bristol (1996-1999) MSc Mathematical Modelling and Scientific Computing (Distinction), University of Oxford (1999-2000) PhD in Applied Mathematics, University of Manchester (2001-2004) His research interests span elastic wave propagation, cloaking, and viscoelastic modeling. He has pioneered hyperelastic cloaking techniques and developed mathematical methods for metamaterials. His work contributes to UN Sustainable Development Goals related to advanced materials and digital innovation. Key achievements include the 2019 Whitehead Prize and over 80 publications. His grants include funding for microstructured material design and collaborations with Thales UK and the National Physical Laboratory. Grants & Awards: EPSRC Fellowships (NEMESIS and extension) Whitehead Prize (2019) Labs/Teams: MWM Group (focusing on waves and materials) M3C (Manchester Materials Modelling Centre)

Patrick Jennyمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Turbulent Reactive Flows
• Multiphase Flow Modeling
• +۳ مورد دیگر

Prof. Patrick Jenny is a Full Professor at the Department of Mechanical and Process Engineering and Head of the Institute of Fluid Dynamics at ETH Zurich. His research focuses on computational fluid dynamics (CFD), numerical methods for turbulent and multiphase flows, and reservoir simulation. He has held positions at ChevronTexaco and Cornell University, and received the National Latsis Prize 2005. PhD in CFD from ETH Zurich (1997) Postdoctoral work at Cornell University (1997–1999) Senior Researcher at ChevronTexaco (1999–2003) Research interests include: turbulent reactive flows, PDF modeling, multi-scale reservoir simulation, and data assimilation in engineering systems. He teaches courses on fluid dynamics, turbulence, and computational methods. Over 100 peer-reviewed publications span topics like fracture modeling, LES/RANS coupling, and particle-laden flows. His work bridges academia and industry, addressing challenges in energy systems, environmental engineering, and numerical algorithms. Winner: National Latsis Prize 2005 Led over 20 PhD projects and collaborates with institutions globally. His lab develops open-source tools for CFD and energy systems analysis.

Mohamed Farhatمشاهده پروفایل

پژوهشگر

• Cavitation & Multiphase flows
• Flow Induced Noise & Vibration
• Fluid-Structure Interaction
• +۵ مورد دیگر

Mohamed Farhat is a Senior Scientist at EPFL's School of Engineering, Department of Mechanical Engineering, where he leads the Research Group on Cavitation and Interface Phenomena. He serves as PhD Director, Lecturer, and Member of EPFL Doctoral Committee (Mechanics), while also representing EPFL at CLUSER association and coordinating activities at the Société Hydrotechnique de France (SHF). His research expertise spans Cavitation & Multiphase flows, Flow Induced Noise & Vibration, Fluid-Structure Interaction, Flow control, Flow instabilities in hydro turbines and pumps, Condition monitoring of Hydraulic Machines, Hemodynamics, and Advanced Instrumentation in Fluid Dynamics. Farhat's work uniquely bridges fundamental fluid mechanics with practical applications across hydropower, marine propulsion, healthcare, and water management sectors. Analysis of his recent publications reveals strong focus on cavitation bubble dynamics, with particular emphasis on measurement techniques for collapsing bubbles, vortex shedding control, hydrodynamic monitoring of hydraulic machinery, and biomedical applications of cavitation phenomena. His work increasingly integrates advanced imaging techniques with computational modeling to understand complex multiphase flow phenomena. 2021: Life Sciences Book Award of the International Academy of Astronautics 2019: 1st Prize Winner of Scientific Image Contest (Swiss National Science Foundation) 2020: EPFL-Rhyming Prize (Best PhD thesis in Fluid Mechanics) 2018: EPFL-EDME Prize (Best PhD thesis in Mechanics) 2015: Edmund Optics Educational Award 2014: APS-DFD Gallery of Fluid Motion Award Farhat has successfully supervised numerous PhD students including Ali Amini, Philippe Ausoni, and Outi Supponen, with research spanning from fundamental bubble dynamics to practical hydraulic machinery applications. His Cavitation Research Group maintains strong collaborations with industry partners in hydropower and medical device sectors. Current research directions include advanced instrumentation for cavitation monitoring, condition-based maintenance of hydraulic machinery, and biomedical applications of cavitation phenomena in therapeutic ultrasound and drug delivery.

• Large deformation FE analysis of soils
• Soil–structure interaction
• Offshore foundation systems
• +۷ مورد دیگر

Yuxia Hu is a Professor at the University of Western Australia, affiliated with the School of Engineering (Civil, Environmental and Mining Engineering) and the School of Social Sciences, Planning and Transport Research Centre. Her research focuses on geotechnical engineering, particularly in large deformation FE analysis, offshore foundation systems, and soil-structure interaction. She has contributed to advancements in suction caissons, plate anchors, and computational mechanics, with applications in offshore wind energy and infrastructure stability. Research Interests: Large deformation FE analysis of soils, soil-structure interaction, offshore foundation systems, soil mechanics, and pavement engineering. Awards: Telford Premium, British Geotechnical Association Prize, and Significant Junior/Senior Paper Award. Grants: Leads projects on offshore anchors, carbon capture in pavements, and road maintenance optimization. Her work addresses challenges in geotechnical design and sustainable infrastructure, with a focus on numerical modeling and experimental validation. Collaborations span academia and industry, emphasizing practical solutions for complex soil-structure systems.

Benno Liebchenمشاهده پروفایل

استاد

• Soft Matter Physics
• Active Matter
• Colloidal Systems
• +۳ مورد دیگر

Prof. Benno Liebchen holds a faculty position at the Technische Universität Darmstadt within the Institute for Condensed Matter Physics , part of the Faculty of Physics. He leads the Liebchen Group , dedicated to advancing research in the Theory of Soft Matter , focusing on active matter, colloidal systems, and non-equilibrium phenomena. His work explores collective behavior in self-propelled particles, phase transitions in active fluids, and adaptive strategies in smart materials. Research Interests include: Active matter dynamics and pattern formation Non-equilibrium statistical mechanics Biophysical systems and biomimetic design Computational modeling of soft matter Recent publications highlight breakthroughs in intelligent active particles , self-reverting vortices , and motility-induced phase coexistence . His lab develops tools like the AMEP Python package to analyze active systems. Teaching responsibilities include advanced modules in soft matter physics. Collaborative projects involve interdisciplinary approaches to microswimmer behavior and machine learning-driven optimization of collective systems. Contact: +49 6151 16-24509 / Office: S2|04 104

Joseph Katzمشاهده پروفایل

استاد

• Experimental Fluid Mechanics
• Cavitation Phenomena
• Multiphase Flow
• +۳ مورد دیگر

Joseph Katz is the William F. Ward Distinguished Professor of Mechanical Engineering at Johns Hopkins University's Whiting School of Engineering and a member of the National Academy of Engineering. His research focuses on experimental fluid mechanics, multiphase flow, cavitation phenomena, and advanced optical diagnostics. He directs the Laboratory for Experimental Fluid Dynamics and co-founded the Johns Hopkins Center for Environmental and Applied Fluid Mechanics. Key research areas include: - Turbulent boundary layers and compliant wall interactions - Cavitation dynamics in turbomachinery - Environmental fluid dynamics (oil spills, oceanic flows) - Medical imaging applications of fluid mechanics - Turbomachinery flow control (axial compressors) His work has been funded by agencies including the Office of Naval Research, NSF, NASA, and DOE. Over 150+ journal papers, 220+ conference papers, and 7 patents reflect his prolific output. Notable awards include the ASME Fluids Engineering Award and fellowships from ASME and APS. Key Contributions: - Developed novel optical diagnostics techniques - Advanced understanding of tip clearance flows in compressors - Studied oil dispersion mechanisms in marine environments - Pioneered holographic PIV for 3D flow visualization

• Fluid Dynamics
• Magnetohydrodynamics
• Turbulence
• +۳ مورد دیگر

Kengo Deguchi is a Senior Lecturer in the School of Mathematics at Monash University. His research focuses on fluid dynamics, magnetohydrodynamics, and turbulence phenomena. He leads and collaborates on ARC-funded projects exploring flow control via topography, vortex dynamics in complex flows, and mathematical descriptions of magneto-hydrodynamic turbulence. Notable awards include the 2018 Faculty of Science Research Excellence Award and Vice-Chancellor’s Early Career Excellence Award. Education: Doctorate in Fluid Dynamics (details not specified in text) His research interests emphasize nonlinear instabilities, vortex dynamics, and coherent structures in shear flows. Recent work investigates Taylor-Couette flow chaos, subcritical transitions, and MHD dynamos. Over 40 publications span topics like turbulence statistics, chaotic patterns, and fluid instabilities. Key projects include investigating vortex persistence in counter-rotating systems and developing mathematical frameworks for MHD turbulence. He has secured funding through ARC grants (2017-2026) and collaborates internationally with experts like Prof. Hall and Prof. Blackburn. Grants: $A 2.6M+ in ARC funding (2017-2026) Labs/Teams: Collaborative fluid dynamics research groups focused on experimental and computational turbulence studies