جست‌وجوی استاد و پژوهشگر

• Intelligent Transportation Systems
• Traffic Engineering
• Vehicle-Infrastructure Communication
• +۵ مورد دیگر

Prof. Dr.-Ing. Robert Hoyer serves as Head of Department and Professor of Traffic Engineering and Transport Logistics at the University of Kassel's Faculty of Civil and Environmental Engineering. Since 2009, he has led the Institute for Transportation at the university. Previously, he worked from 1992 to 2006 at the Institute for Automation and Communication (ifak) in Magdeburg, where he progressed from Scientific Staff Member to Group Leader and eventually Head of the Traffic Telematics Department. His educational background includes: 1984-1989: Studied Technical Cybernetics and Automation Engineering at TU Magdeburg 1989-1991: Doctoral studies at the Chair of Automation Systems at TU Magdeburg 1994: Earned Doctor of Engineering degree Prof. Hoyer's research focuses on traffic telematics, vehicle-infrastructure communication, traffic data acquisition and processing, and traffic flow simulation. His work particularly emphasizes cooperative systems between vehicles and infrastructure, especially at traffic signals, and the application of machine learning for traffic prediction and optimization. He has pioneered research in Floating Car Observer technology for traffic data collection and has made significant contributions to public transport prioritization systems. His recent publications (2020-2025) demonstrate a clear trend toward increasingly sophisticated applications of machine learning and AI in traffic management, with particular emphasis on signal control optimization, public transport prioritization, and safety applications. The research shows progression from basic traffic signal control to integrated systems incorporating vehicle-to-infrastructure communication, real-time data processing, and predictive analytics for urban mobility solutions. Prof. Hoyer holds significant advisory roles: Since 2010: Scientific advisor for the 'Staufreies Hessen' initiative Since 2013: Commissioner for Traffic Technology and Traffic Management for the State of Hesse He is actively involved in the Research Society for Road and Traffic Engineering (FGSV), where he has chaired multiple working groups since 1996, including the Working Group on Automated Driving since 2015. His work bridges academic research with practical implementation in traffic management systems across Germany, particularly in Hesse.

• Materials Science
• Thin Film Technology
• Optoelectronics
• +۳ مورد دیگر

Doç. Dr. Emrah Sarıca is an Associate Professor in the Department of Electrical and Electronics Engineering at Başkent University. His research focuses on advanced materials science and thin film technology for optoelectronic and photovoltaic applications. Specializes in ultrasonic spray pyrolysis for thin film deposition Key research areas: doping effects, transparent conductive oxides (TCOs), semiconductor heterostructures Active in photovoltaic materials optimization (e.g., ZnO, SnO2, CdS, CZTS) Recent work analyzes aluminum doping in ZnO films (2025), nano-titanium coatings for biomedical applications (2025), and multi-element doping strategies. His publications (17+ articles) demonstrate expertise in physical property modulation via annealing and compositional tuning. Collaborations span mechanical, optical, and electrical characterization studies. Projects include entrepreneurial ventures like electrostatic-ultrasonic coating systems (2018) and industrial R&D for nanomaterial technologies through IDASONIC NANOKAPLAMA. Supervised theses on CZTS layers (2022) and ZnO-Cu2O films (2024).

Abdallah Berroukمشاهده پروفایل

استاد

• Computational Mechanics
• Machine Learning
• Thermal Analysis
• +۳ مورد دیگر

Professor Abdallah Berrouk is a faculty member in the Department of Mechanical & Nuclear Engineering at Khalifa University. With 16 years of university lecturing experience, he has developed PhD courses in Machine Learning for Fluid & Heat Flow and Turbulence Theory & Modelling, while supervising 7 PhD students and 13 Masters students. He has secured over $6M in research funding and leads the Gas Processing Technology theme at the KU Research Centre on Catalysis and Separation. PhD, Mechanical Engineering, University of Manchester MSc, Oil & Gas Enterprise Management, University of Aberdeen His research focuses on Computational Mechanics , Machine Learning , and Thermal Analysis , with particular emphasis on Nanofluid Mechanics , CO2 Capture , and Power Cycles Modelling . Recent publications analyze supercritical CO2 cycles, chemically reactive nanofluids, and rotating packed bed technologies for CO2 capture. Scientific awards include the ASTFE Nuclear Thermal Hydraulics CFD Award (2024) and multiple ADNOC R&D honors (2013-2014). He chairs the university's Undergraduate Studies committee and serves on editorial boards of the American Journal of Fluid Dynamics and Pollutants Journal.

Daniel Matthesمشاهده پروفایل

استاد

• Partial Differential Equations
• Mathematical Analysis
• Gradient Flow Systems
• +۳ مورد دیگر

Daniel Matthes is a Professor of Dynamical Systems at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology and the Department of Mathematics. His research focuses on the qualitative theory of partial differential equation solutions, with particular expertise in gradient flow systems and kinetic equations. Matthes received his education at TU Berlin, where he completed his Diplom in Mathematics in 1999 and his PhD in 2003 with a thesis on Discrete Surfaces and Coordinate Systems: Approximation Theorems and Computation . He conducted postdoctoral research at the University of Mainz, the University of Pavia in Italy, and TU Vienna, before completing his Habilitation at TU Wien in 2010 with work on On the equilibration in certain kinetic and diffusion equations . Professor Matthes' research interests span the mathematical analysis of partial differential equations, particularly focusing on gradient flow structures, kinetic models, and their applications. His work bridges theoretical mathematics with practical applications in areas such as mathematical physics and economic modeling. He has made significant contributions to understanding the qualitative behavior of solutions to nonlinear PDEs, with particular emphasis on convergence properties, equilibrium states, and numerical approximation methods. His methodology often combines rigorous analytical techniques with computational approaches to extract meaningful insights from complex mathematical structures. His extensive publication record demonstrates a consistent focus on gradient flow systems, with recent work exploring discretization methods, convergence analysis, and applications to physical and economic models. Matthes has developed innovative numerical schemes for solving complex PDEs while maintaining important structural properties of the continuous equations, contributing significantly to both theoretical understanding and practical computational methods in the field. As part of the Dynamical Systems group at TUM, Professor Matthes contributes to the department's research in mathematical analysis and its applications. His work intersects with several research areas within the Department of Mathematics, including numerical analysis, mathematical physics, and applied analysis. The group maintains active collaborations with researchers across Europe and participates in various interdisciplinary projects that apply advanced mathematical techniques to real-world problems.

• Cavitating Flows
• Cavitation Erosion
• Gas Dynamics
• +۴ مورد دیگر

Dr.-Ing. Steffen Schmidt is a Researcher at the Department of Aerodynamics and Fluid Mechanics , Technische Universität München since 2005. He holds a Diplom in Technomathematik (2005) and a Ph.D. (2015) from TUM, specializing in cavitating flows and gas dynamics. Education: Diplom Technomathematik, TUM, MI (2005) Promotion mit summa cum laude, TUM, Lehrstuhl für Aerodynamik u. Strömungsmechanik (2015) His research focuses on cavitating flows , cavitation erosion , gas dynamic flows , nonlinear wave dynamics , and high-performance computing . Recent work explores shock-wave interactions, multi-component fluid simulations, and quantum algorithms for fluid dynamics. Key scientific awards include the Gordon Bell Prize 2013 . His publications (15+ since 2021) emphasize machine learning integration, LES turbulence modeling, and phase change dynamics in compressible flows. He teaches Fluid Mechanics I/II and Gas Dynamics , receiving multiple Goldene Lehre awards. Active in projects like FURADO and SFB , he leads the Gas Dynamics group within the Chair of Aerodynamics.

Julie Hlavacek-Larrondoمشاهده پروفایل

دانشیار

• Supermassive Black Holes
• Galaxy Formation and Evolution
• High-Energy Astrophysics
• +۳ مورد دیگر

Julie Hlavacek-Larrondo is an Associate Professor at the Department of Physics, Université de Montréal, and holds the Canada Research Chair in Observational Black Hole Astrophysics (2014-2025). As a leading figure in astrophysics, she investigates supermassive black holes' role in galaxy evolution, combining X-ray , radio , and machine learning techniques to study their feedback mechanisms in galaxy clusters. PhD in Astrophysics from University of Cambridge (2012) Co-founded Parité Sciences to promote gender diversity in physics Research Interests: Her work focuses on: Supermassive black holes' impact on host galaxies Multiwavelength observations (X-ray, radio, optical) Machine learning applications in astrophysics Cosmic reionization and early universe structures AGN feedback dynamics in galaxy clusters Scientific Leadership: She has secured observing time on flagship telescopes like Chandra , Hubble , and Very Large Array . Her recent 2025 publications highlight: Extreme black hole outflows in quasars Multi-phase gas analysis in high-redshift clusters Machine learning-driven cluster characterization Awards: 2024 FRQNT Rising Star Award 2024 Herzberg Medal (Canadian Association of Physicists) 2018 Royal Society College Membership 2017 Acfas Discovery Audience Award She has directed 10+ PhD/MSc theses , including projects on: Black hole mass measurement via gravitational lensing Radio observations of galaxy clusters High-resolution optical filament analysis Machine learning for cool core clusters

• Mathematical Optimization
• Network Optimization
• Railway Operations
• +۳ مورد دیگر

Ralf Borndörfer is a Professor and Head of the Network Optimization Department at the Zuse Institute Berlin (ZIB) , a leading research institution in mathematical algorithmic intelligence. His work focuses on optimizing complex transportation systems, particularly in railway operations, public transit, and air cargo logistics. He leads projects like Timetabling with Duality and Zonotopes, Symmetric Line Planning, and WILSON-LEARN, which address challenges in train scheduling, electric vehicle integration, and predictive maintenance. Key Research Areas : Mathematical optimization, railway timetabling, public transport planning, game theory for toll enforcement, and electric vehicle scheduling. Notable Collaborations : Projects with Deutsche Bahn, BIFOLD, and MATH+ Cluster of Excellence. His recent publications (2023-2025) explore: Non-linear battery modeling in electric bus scheduling Predictive maintenance integration in rolling stock rotations Logic-constrained shortest paths for flight planning Price-sensitive routing in public transport He has contributed to algorithmic frameworks like the Restricted Modulo Network Simplex Method and Bayesian rolling horizon approaches, emphasizing computational efficiency and real-world applicability.

• Building energy
• Heat transfers
• Air handling
• +۵ مورد دیگر

Ghislain Michaux is a Teacher-Researcher at the University of La Rochelle , specializing in building energy systems. His work focuses on heat transfers, air handling systems, and multi-function envelopes for energy-efficient buildings. Key research areas: energy storage systems, solar micro-cogeneration, airflow windows Collaborates with international researchers on thermal performance and indoor air quality His publications span topics from phase-change material walls to parieto-dynamic windows , emphasizing energy-saving solutions. Recent work explores thermal habituation effects in human comfort studies. Notable collaborations include: Patrick Salagnac (University of La Rochelle) Jean-Louis Bouvier (University of La Rochelle) Simon Martinez (University of La Rochelle) Richard de Dear (University of Sydney) Olivier Vauquelin (University of La Rochelle) Michaux's research has been presented at major conferences like IBPSA and Building Simulation , with experimental validations in real-world conditions.

Kibaek Leeمشاهده پروفایل

استادیار

• Computational fluid dynamics
• Numerical modeling of propellants and explosives
• Machine learning for material modeling
• +۵ مورد دیگر

Dr. Kibaek Lee is an Assistant Professor in the Department of Aerospace, Physics and Space Sciences at the Florida Institute of Technology . He leads the Modeling Advanced Energetic Materials Laboratory , where his team develops high-fidelity computational frameworks to predict the thermo-mechanical-chemical behavior of energetic materials used in propellants and explosives. Educational Background: No explicit degrees are listed in the provided text. Research Focus: Dr. Lee's work integrates computational fluid dynamics , machine learning , and reduced-order modeling to advance our understanding of energetic-material ignition, detonation, and thermal-runaway phenomena. Key application areas include: Physics-informed machine-learning models for shock initiation criteria Data-driven reduced chemical kinetics for propellants and explosives Reduced-order modeling of lithium-ion battery thermal runaway under extreme conditions Multi-component modeling of solid–fluid interfacial interactions under shock or frictional heating Scientific Awards: No awards are mentioned in the supplied material. Advising & Team: Dr. Lee currently mentors: Ph.D. Students: Jeff McShane, Kalindu Salith Tennakoon M.S. Students: Ratish Patil Research is supported by the laboratory’s high-performance computing resources: two servers with 192 cores, 1 TB RAM, Nvidia RTX A4000 GPU, and 12 TB storage. Laboratory & Facilities: The Modeling Advanced Energetic Materials Laboratory provides a flexible modeling environment aimed at fundamental tool development for advanced propellant and explosive systems, leveraging state-of-the-art computational facilities.

Jocelyn Doucetمشاهده پروفایل

دانشیار

• Electrification of Processes
• Depolymerization
• Circular Economy
• +۳ مورد دیگر

Jocelyn Doucet is an Associate Professor in the Department of Chemical Engineering at Polytechnique Montréal since 2011. He is a co-founder and CEO of Pyrowave, a company developing advanced high-power microwave technology for resource-efficient industrial processes. Education: Ph.D., Polytechnique Montréal, 2008 B.Eng., Polytechnique Montréal, 2004 His research focuses on microwave-based chemical recycling , process electrification , and granular mixing dynamics . He has pioneered technologies for microwave pyrolysis and radioactive particle tracking in industrial reactors, with applications in circular economy and sustainable manufacturing . Recent publications demonstrate expertise in AI-enhanced particle tracking (2025), microwave heating sustainability (2020), and biomimetic waste recycling (2019). His work bridges chemical engineering , environmental technology , and industrial innovation . He has supervised two doctoral theses, including Model-Free RPT for Hydrodynamic Characterization (Mirakhori, 2024) and Microwave Polystyrene Depolymerization (Leclerc, 2018). Pyrowave, the company he co-founded in 2014, has developed the world's most advanced high-power microwave platform for industrial resource efficiency.

Ahmad Shakibaeiniaمشاهده پروفایل

استاد

• Hydraulic Engineering
• Environmental Fluid Mechanics
• Multiphase Flow Modeling
• +۳ مورد دیگر

Ahmad Shakibaeinia is a Full Professor at the Department of Civil, Geological and Mining Engineering in Polytechnique Montréal , holding the Tier 2 Canada Research Chair in Digital Hydrosystems . He serves as a researcher in the Experimental and Digital Water Flow Engineering Group (GENIE EAU) and is affiliated with the Interuniversity Study Center for Structures under Extreme Loads (CEISCE) . Research Domains : Computational fluid mechanics, multiphase flows, granular flow dynamics, cold-region hydraulics, fluvial mechanics Methodologies : Specializing in mesh-free particle methods (SPH, MPS) for simulating complex hydro-environmental flows His work focuses on multi-physics hydro-environmental flows involving water-air-sediment-ice interactions, with applications in flood risk assessment , tailings dam breach modeling , and cold-region river dynamics . Recent publications demonstrate expertise in floating breakwater systems , microbial risk assessment , and ice-structure interaction simulations . Key scientific contributions include: Developing enhanced weakly-compressible MPS/SPH methods for free-surface and granular flows Pioneering fully Lagrangian DEM-MPS models for ice-wave dynamics Creating integrated numerical frameworks for cold-region water quality assessment He has supervised 12 graduate students (3 PhD, 9 Master's) and secured multiple NSERC Alliance Grants for projects on climate change impacts and critical infrastructure vulnerability . His 74 publications span topics from sediment transport to particle method development , with significant contributions to oil sands tailings dam failure and transboundary river pollution understanding.

Hanneke Gelderblomمشاهده پروفایل

استادیار

• Fluid Dynamics
• Capillary Flow Phenomena
• Biofluids
• +۶ مورد دیگر

Hanneke Gelderblom is an Assistant Professor in the Department of Applied Physics and Science Education at Eindhoven University of Technology (TU/e), where she leads the Interfacial Flows research group and is affiliated with the Institute for Complex Molecular Systems (ICMS). Her office is located in Cascade 2.11. Her research focuses on: Fluid dynamics and capillary flow phenomena Droplet dynamics and biofluids Evaporation-driven self-assembly Liquid fragmentation and laser-liquid interaction Micropattern formation in evaporating droplets Deformation and fragmentation of liquid droplets by laser-pulse impact Dr. Gelderblom combines theoretical approaches with experimental and numerical methods, bridging fundamental fluid dynamics with practical applications in industry, biology, and health. Her current work explores how biological or living material affects interfacial hydrodynamics and how these flows can control biological matter at microscopic scales where direct manipulation is impossible. Analysis of her recent publications reveals a strong emphasis on plasma-liquid interactions, particularly how electrical properties of solutions determine flow direction. Her research demonstrates that flow direction can be controlled through salt ion concentration and that time-resolved switching occurs in grounded salt solutions due to electrolytic and plasma-induced reactions altering the dominant flow mechanism. Her notable achievements include: Charles Hoogendoorn Award (2014) FOM Physics Thesis award (2014) NWO Veni grant (2016) for studying evaporation of living liquid droplets Minerva Prize (2025) Dr. Gelderblom teaches courses including 'Variables, dimensions and dynamics: Order and Chaos in Physics,' 'Soft matter physics,' 'Introduction to Applied Physics,' and 'Physics of Transport Phenomena.' Her research has significant implications for medical applications, particularly in controlling fluid behavior at microscopic scales relevant to biology and public health. She leads the Interfacial Flows research group within the Fluids and Flows section, investigating the rich physics at the intersection of interfacial flows and biological systems, with applications spanning from industrial processes to medical technologies.

Suresh Menonمشاهده پروفایل

استاد

• Large-Eddy Simulation (LES)
• Turbulent Combustion
• Computational Fluid Dynamics (CFD)
• +۹ مورد دیگر

Suresh Menon serves as the Hightower Professor of Engineering at the Georgia Institute of Technology, where he has been a faculty member since 1992 after rising from associate professor to full professor in 1997. His expertise centers on computational fluid dynamics and combustion science within aerospace engineering, with significant contributions to propulsion systems and fluid mechanics research. His academic credentials include: B.S. in Aeronautical Engineering from the Indian Institute of Technology (1976) M.S. in Aeronautical Engineering from the Indian Institute of Technology (1978) Ph.D. in Aerospace Engineering from the University of Maryland (1984) Professor Menon is globally recognized for pioneering large-eddy simulation (LES) techniques in turbulent reacting flows , with research spanning combustion instability , shock-to-detonation transition , and multi-phase blast modeling . His work develops advanced simulation capabilities for analyzing pollutant formation, high-altitude jet plume effects, and propulsion systems, integrating experimental fluid mechanics with computational approaches to advance sustainable energy solutions. Analysis of his 2002-2015 publications reveals consistent focus on large-eddy simulation applications across complex flow regimes, with growing emphasis on machine learning integration for chemical kinetics and uncertainty quantification in shock-driven phenomena like aerosol neutralization and energetic material behavior. His distinguished honors include: Fellow of the American Association for the Advancement of Science (AAAS) Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA) Menon has secured major research funding as principal investigator from NASA, Department of Energy, Air Force Office of Scientific Research, Office of Naval Research, and Defense Threat Reduction Agency, alongside industry support from General Electric, Pratt & Whitney, Boeing, and international partners. He actively reviews for leading journals and federal research proposals while mentoring graduate students through his Computational Combustion Laboratory. The Computational Combustion Laboratory (CCL) and Ben T. Zinn Combustion Laboratory form his primary research hubs, focusing on high-fidelity simulations of turbulent combustion, propulsion systems, and fluid dynamics using advanced computational methods.

Edward Smithمشاهده پروفایل

مدرس ارشد

• Fluid Dynamics
• Molecular Dynamics
• Computational Fluid Dynamics
• +۶ مورد دیگر

Dr. Edward Smith is a Senior Lecturer in Fluid Dynamics at Brunel University London , affiliated with the College of Engineering, Design and Physical Sciences . His research bridges molecular dynamics (MD) and continuum methods to study complex fluid systems. PhD from Imperial College London Developed CPL library for particle-continuum coupling Created FlowMol , an open-source molecular dynamics code Smith's research focuses on Molecular Fluid Dynamics and Non-equilibrium Molecular Dynamics (NEMD) . His work includes the first molecular simulation of near-wall turbulence, moving contact line modeling, and liquid-vapor interface control volume frameworks. Recent articles examine thin film rupture , nucleate boiling , and non-equilibrium shear rate simulations . These publications span fields like Fluid Dynamics , Thermal Sciences , and Computational Physics . Awarded the Post-doctoral Excellence Fellowship , Smith has published in high-impact journals like Physical Chemistry Chemical Physics and Journal of Chemical Physics . He actively develops open-source software and trains researchers through the Materials and Molecular Modelling Hub . Teaches Programming at Brunel University Collaborates with Professors William and Carol Hoover Advocates for open research practices

• Urban Mobility
• Building Energy Performance
• Physics of Complex Systems
• +۳ مورد دیگر

Gael Pallares is a Teacher-researcher at CESI based at the Montpellier Med Airport Zone campus, specializing in urban mobility, building energy performance, and physics of complex systems through the Engineering and Digital Tools research team. His interdisciplinary work bridges transportation engineering and materials science with practical applications in smart city infrastructure. Education: Doctorate in Physics, CEA Saclay and University of Montpellier (2010). Thesis: 'Multi-scale analysis of crack propagation mechanisms in oxide glasses'. Master's Degree (M2R) in Materials Science, University of Montpellier (2007). Research Focus: Dr. Pallares investigates multimodal transport system optimization (e.g., TIGA project for Rouen's smart mobility) and energy-efficient student mobility (MobE project), while advancing fundamental understanding of fracture mechanics in oxide glasses, elastomer contact physics, and thermodynamic anomalies in supercooled water. His methodology integrates experimental, numerical, and theoretical approaches across multiple scales. Publication Trends: Recent publications (2023-2024) emphasize urban mobility solutions using agent-based transport simulations and mathematical optimization, reflecting a strategic pivot toward applied transportation engineering while maintaining foundational contributions in material physics. His work consistently addresses sustainability challenges in urban infrastructure and complex material behaviors. Academic Supervision: Currently guiding two doctoral candidates (B. Sahbani on multimodal transport supervision and J. Burgalat on smart city transport optimization), with defenses scheduled for 2024-2025. Previously supervised R. Sahli's thesis on elastomeric contact mechanics (2017) and multiple internships (2008-2016). Research programs include TIGA and MobE, focusing on real-world mobility challenges. Scientific Engagement: Active member of the Neocampus Scientific Interest Group (University of Toulouse) and Midoc key challenge on smart/sustainable mobility in Occitanie, contributing to regional research networks for sustainable urban development.