CFD/CSD Methods Professors and Supervisors

Lakshmi N Sankarمشاهده پروفایل

استاد

Georgia Institute of TechnologyUnited States

Lakshmi N Sankar serves as Regents Professor and Sikorsky Professor in the Guggenheim School of Aerospace Engineering at Georgia Institute of Technology, where he directs the Computational Fluid Dynamics Laboratory and teaches aerodynamics, helicopter theory, and wind energy courses. His research program spans unsteady viscous flow modeling for aircraft, helicopters, and wind turbines since joining the faculty in 1982 after industry experience at Lockheed Martin. Education: Ph.D., Aerospace Engineering, Georgia Institute of Technology, 1977 MSAE, Aerospace Engineering, Georgia Institute of Technology, 1975 B. Tech., Aeronautical Engineering, Indian Institute of Technology, Madras, India, 1973 Research Focus: Professor Sankar's work centers on Computational Fluid Dynamics for rotorcraft aerodynamics and wind energy systems , with significant contributions to icing phenomena and unsteady flow modeling . His recent publications reveal intensifying focus on adverse weather effects (rain/icing), eVTOL conversion challenges, and high-fidelity hybrid modeling techniques for rotorcraft performance prediction. Publication Trends: Analysis of his 2022-2025 publications shows dominant themes in rotorcraft icing (35%), weather impact studies (25%), and advanced CFD methodologies (20%), with growing interest in drone applications and mathematical aspects of fluid dynamics. His work consistently bridges theoretical mathematics with practical aerospace engineering challenges. Scientific Recognition: AIAA Fellow and AHS Technical Fellow NASA Group Achievement Award (2007) and Space Act Software Release Award (2003) Multiple Sigma Gamma Tau Teaching Awards (2005-2015) Dean George C. Griffin Faculty of the Year (2014-2015) Sikorsky Professorship (2018-Present) Mentorship and Collaboration: As recipient of Georgia Tech's Graduate Research Assistant Development Award, he has cultivated extensive student mentorship. His research integrates with the Vertical Lift Research Center of Excellence and Center for 21st Century Universities, securing major industry and NASA funding for rotorcraft innovation. Current projects include physics-based modeling of ice accretion and eVTOL retrofit feasibility studies. Research Infrastructure: The Computational Fluid Dynamics Laboratory serves as his primary research hub, complemented by collaborations through the Vertical Lift Research Center of Excellence where his team develops next-generation modeling tools for military and civilian rotorcraft applications under federal funding programs.

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Shunxiang Caoمشاهده پروفایل

استادیار

Tsinghua UniversityChina

Shunxiang Cao is an Assistant Professor at Tsinghua Shenzhen International Graduate School in China, where he has worked since July 2022. He earned his Ph.D. in Aerospace Engineering from Virginia Tech (United States) between August 2014 and August 2020 and completed his B.S. in Aerospace Engineering at Beihang University (China) from September 2010 to May 2014. Prior to his current role, he served as a Postdoctoral Scholar at the California Institute of Technology (United States) from November 2019 to May 2022. Teaches courses such as Advanced Numerical Analysis, Numerical Methods for PDEs, and Fluid-Structure Interaction simulations. Research Interests include fluid-structure interaction, computational fluid dynamics, shock/bubble dynamics, material failure analysis, embedded-boundary methods, resolvent-based optimization, Kalman inversion, high-intensity focused ultrasound, and digital twin technology. His work focuses on numerical modeling, optimization, and fluid-solid coupling mechanisms in diverse applications like underwater propulsion, energy storage membranes, and medical acoustics. Scientific Awards include the USNCCM16 Conference Award (2021), Graduate Fellowship at Virginia Tech (2014-2015), Merit Undergraduate Student in Beijing (2014), and Singapore Technology Engineering Fellowship (2010-2013).

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Da Riva Enricoمشاهده پروفایل

دانشیار

Western Switzerland University of Applied SciencesSwitzerland

Da Riva Enrico is an Associate Professor HES at the School of Engineering and Management of the Canton of Vaud , specializing in Heat pump and refrigeration systems , Heat exchanger design , Heat transfer , and Natural refrigerants . He leads applied research projects in energy systems and thermal dynamics. Education: MSc HES-SO in Engineering, BSc HES-SO in Energy and Environmental Techniques, BSc HES-SO in Mechanical Engineering His research focuses on two-phase flow modeling , condensation in microchannels , and thermal management of buildings , particularly with natural refrigerants and transcritical CO2 systems . Recent work includes experimental validation of low-charge heat exchangers and hybrid heat pump integration for energy-efficient buildings. He has secured grants from institutions like HES-SO , CSD Ingenieurs SA , and Vitogaz Switzerland . His projects often involve collaborations with Page Jessen , IGT , and HES-SO Valais . Da Riva is affiliated with the IE Institute (Energy Institute) and has contributed to Nuclear Technology , International Journal of Heat and Mass Transfer , and technical book chapters on Two-Phase Heat Transfer .

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Benjamin Uekermannمشاهده پروفایل

استادیار

University of StuttgartGermany

Benjamin Uekermann is a Jun.-Prof. (Assistant Professor) at the University of Stuttgart's Institute for Parallel and Distributed Systems (IPVS), part of the Faculty of Computer Science, Electrical Engineering, and Information Technology. His work focuses on sustainable simulation software ecosystems , particularly advancing the preCICE coupling library for multi-physics and multi-scale simulations. He leads research in partitioned simulation coupling , reproducible software practices, and high-performance computing tools. His research interests include Parallel computing and distributed systems Numerical methods for coupled PDE-based simulations Scientific software sustainability and open-source frameworks Data-driven adaptive algorithms Validation and testing of simulation ecosystems Recent work emphasizes reproducibility via NixOS integration, user-friendly tools like MetaConfigurator and ASTE, and multi-X coupling across scales and physics domains. His preCICE library enables seamless integration of solvers like OpenFOAM and FEniCS for fluid-structure interaction, CFD/CSD, and thermohydraulics. Key contributions include scalable radial-basis interpolation methods, quasi-Newton acceleration schemes, and geometric multi-scale coupling frameworks. He actively develops educational materials on open-source scientific computing and advocates for sustainable research software practices.

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Mark Woodgateمشاهده پروفایل

پژوهشگر

University of GlasgowUnited Kingdom

Dr. Mark Woodgate is a Research Associate in the Autonomous Systems & Connectivity research group at the School of Engineering, University of Glasgow. His research focuses on computational fluid dynamics applications for rotorcraft and helicopter aerodynamics, with extensive publications spanning over two decades. His research interests include: Computational Fluid Dynamics for rotorcraft applications Rotor blade design and optimization Helicopter aerodynamics and dynamics Wind turbine analysis High-fidelity CFD/CSD methods Dr. Woodgate's recent publications demonstrate a strong focus on advanced computational methods for rotorcraft analysis and design. His work frequently involves collaboration with George Barakos and other researchers at the University of Glasgow. Key research trends include the application of harmonic balance methods, adjoint optimization techniques, and the development of efficient CFD solvers for rotorcraft applications. His research has significant implications for helicopter design, tiltrotor aircraft, and wind turbine technology. Scientific contributions: Development of implicit hybrid methods for rotorcraft flow computation Analysis of rotor blade stall and flutter phenomena Simulation techniques for helicopter ditching scenarios Optimization frameworks for rotor blade planform design Dr. Woodgate has supervised research students, including Dada, Oyedoyin Samuel, who worked on 'Machine Learning for Flying Vehicles - Demonstration for autonomous fire-fighting aircraft.' His work bridges traditional aerospace engineering with emerging computational techniques and applications.

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Marek Behrمشاهده پروفایل

استاد

RWTH Aachen UniversityGermany

Marek Behr is a Professor (C4/W3) and Chairholder at the Chair for Computational Analysis of Technical Systems within the Faculty of Mechanical Engineering at RWTH Aachen University since 2004. He also holds an Adjunct Professorship at Rice University’s Department of Chemical and Biomolecular Engineering since 2005. His academic leadership roles include serving as Founding Director of the Center for Simulation and Data Science (CSD) since 2018, President of the German Association for Computational Mechanics (GACM) since 2021, and Executive Council Member of the International Association for Computational Mechanics (IACM) since 2020. He coordinates the International Research Training Group 2379 Modern Inverse Problems with the University of Texas at Austin. Behr’s research focuses on computational fluid dynamics (CFD) , biomedical engineering , and finite element methods , with applications in cardiovascular modeling, multiphysics systems, and manufacturing processes. His work bridges engineering and medicine, addressing challenges like in-stent restenosis, hemolysis prediction, and advanced material processing. He has an h-index of 45 (Google Scholar) and over 3,600 citations. Teaching responsibilities include courses such as Simulation Methods in Mechanical Engineering , Parallel Computing in Computational Mechanics , and Finite Elements in Fluids . His research group actively collaborates with institutions like the Jülich-Aachen Research Alliance (JARA) and the Oden Institute . Recent publications emphasize computational models for cardiovascular devices, machine learning in structural health monitoring, and advanced manufacturing simulations, reflecting his interdisciplinary approach to solving complex engineering problems.

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Gerasimos Chourdakisمشاهده پروفایل

پژوهشگر

Technical University of MunichGermany

Gerasimos Chourdakis is a Researcher at the Institute of Parallel and Distributed Systems (IPVS), University of Stuttgart, focusing on the Usability and Sustainability of Simulation Software. Previously, he was a Research Associate at the Chair of Scientific Computing in Computer Science (SCCS) at Technical University of Munich (TUM) from 2018 to 2024. He holds an M.Sc. in Computational Science and Engineering from TUM (2017) and a Diploma in Chemical Engineering from the National Technical University of Athens (2014). His research interests center on multi-physics coupling, geometric multi-scale modeling, fluid-structure interaction (FSI), and software engineering practices for sustainable research software ecosystems. He is a co-developer of the open-source preCICE library, which facilitates multi-physics simulations, and has contributed to projects like preDOM and ATHLET-preCICE. He emphasizes software sustainability, testing, and community-driven development. Chourdakis has supervised numerous student projects and thesis works, including contributions to preCICE’s OpenFOAM adapter, geometric multiscale coupling, and thermal-electrochemical systems. He has taught courses such as Advanced Programming and CSE Primer at TUM, redesigning curricula to integrate research software engineering (RSE) skills. He actively organizes workshops, conferences, and RSE initiatives, including the OpenFOAM Special Interest Group and the de-RSE Chapter Munich. His work bridges academic research with practical software development, fostering collaboration and sustainability in simulation tools. Chourdakis’ contributions to the preCICE ecosystem include system regression tests, documentation automation, and community engagement. He advocates for software sustainability through practices like continuous integration and testing frameworks, ensuring the library remains robust and user-friendly. His interdisciplinary approach integrates computational science with software engineering to advance multi-physics simulation methodologies.

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Wojciech Kowalczykمشاهده پروفایل

استاد

University of Duisburg-EssenGermany

Prof. Dr.-Ing. Wojciech Kowalczyk serves as Professor of Mechanics/Biomechanics and Chairholder of the Chair of Mechanics and Robotics at the Department of Mechanical Engineering and Process Engineering, Faculty of Engineering Sciences, University of Duisburg-Essen, Germany, a position he has held since November 2007. His academic journey includes: University of Duisburg-Essen (since 11/2007): Chair of Mechanics and Robotics, Professor for Mechanics/Biomechanics Friedrich-Alexander-University of Erlangen-Nuremberg (10/2006 - 11/2007): Group Leader in Computational Fluid Dynamics and Theoretical Process Fluid Mechanics Technical University of Munich (10/2004 - 09/2006): Group Leader in Fluid Mechanics; awarded Doctoral Degree (Dr.-Ing.) in July 2004 Koszalin University of Technology (Poland) (10/1997 - 07/2001): Research Associate at Chair of Control System; received Diploma in Mechanical Engineering in July 1997 Professor Kowalczyk's research spans critical domains including Biomechanics , Biofluid mechanics , Thermo-fluid mechanics , Multiphase flow (with phase changes and particle dynamics), Computational Fluid Dynamics (CFD) , Computational Structural Dynamics (CSD) , Fluid-Structure Interaction (FSI) , and High Performance Computing (HPC) , emphasizing advanced simulation techniques for complex engineering challenges. He actively teaches core courses such as Mechanics 1-3, Biomechanics, Biofluidmechanics, and Finite Element Method across semesters while leading the Computational Sciences and Simulation (CSS) research group and contributing to the Center for Energy Research (CER.UDE).

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Emre Alpmanمشاهده پروفایل

استاد

Marmara UniversityTurkey

Emre Alpman is a Professor at the Department of Thermodynamics and Heat in the Faculty of Engineering at Marmara University. He has been a faculty member since 2006, advancing from Assistant to Full Professor in 2020. His work focuses on computational fluid dynamics (CFD), aerothermal optimization, wind energy systems, and fluid mechanics. Education: B.Sc. (First Rank) in Aeronautical Engineering from Middle East Technical University (1999) M.Sc. in Aeronautical Engineering from Middle East Technical University (2001) Ph.D. in Aerospace Engineering from Pennsylvania State University (2006) Research interests encompass mechanical engineering with a focus on thermodynamics and energy systems, fluid dynamics, and advanced CFD techniques. He specializes in optimizing turbine blade designs, wind energy technologies (including vertical/horizontal axis turbines and hybrid systems), and aeroacoustic simulations. His studies also address cavitation effects, exergy analysis, and numerical methods like genetic algorithms and machine learning. His articles reflect trends in renewable energy solutions, CFD-driven optimization (using OpenFOAM® and Lattice Boltzmann methods), and interdisciplinary applications of fluid mechanics in aerospace, biomedical, and environmental engineering. The most recent publications explore film cooling hole optimization, UAV-based atmospheric sampling, and exergy-efficient refrigeration systems. Alpman has advised 10 theses and contributed to 12 open-access projects. His research has been supported by institutional grants and collaborations.

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Marek Behrمشاهده پروفایل

استاد

AGH University of KrakowPoland

Professor Marek Behr is a Universitätsprofessor (C4/W3) at the Chair for Computational Analysis of Technical Systems (CATS) in the Faculty of Mechanical Engineering at RWTH Aachen University, Germany. He serves as founding director of the Center for Simulation and Data Science (JARA-CSD) since 2018, President of the German Association for Computational Mechanics since 2021, and is an Adjunct Professor of Chemical and Biomolecular Engineering at Rice University since 2005. Professor Behr's research focuses on computational mechanics with particular emphasis on physiological model development and numerical methods for complex fluids. His work spans Computational Fluid Dynamics (CFD) , High-Performance Computing (HPC) , Fluid-Structure Interaction (FSI) , and 4D Finite Element Methods . His research group at CATS develops advanced computational techniques for engineering and biomedical applications, with recent focus on cardiovascular modeling including hemolysis prediction, stent restenosis, and left ventricular dynamics under assist device support. The publication record of Professor Behr shows a strong trajectory in computational biomechanics, particularly in cardiovascular applications. His recent work (2023-2025) demonstrates increasing focus on multiphysics modeling of blood flow, stent-artery interactions, and computational approaches to understanding hemolysis and restenosis mechanisms. His research integrates advanced numerical methods with physiological modeling to address clinically relevant problems in cardiovascular medicine. Professor Behr has received significant recognition for his contributions to computational mechanics: Elected Fellow of the International Association for Computational Mechanics (IACM) in 2014 Recipient of the Leading Scientist Award (3.6 M€) from St. Petersburg, Russian Federation in 2010, described as "the largest individual scientific award in the world" Google Scholar h-Index of 45 and ISI h-Index of 30, based on approximately 3,600 citations Professor Behr serves as speaker of the International Research Training Group 2379 Modern Inverse Problems in collaboration with the Oden Institute at the University of Texas at Austin. He has established significant research collaborations across institutions and has supervised numerous PhD and Master's students. His work is supported by substantial research funding, including the 3.6 M€ Leading Scientist Award. The Chair for Computational Analysis of Technical Systems (CATS) under Professor Behr's leadership forms part of the Center for Simulation and Data Science (JARA-CSD), a collaboration between RWTH Aachen University and Forschungszentrum Jülich. CATS focuses on developing and applying advanced computational methods to solve complex engineering problems, with particular expertise in fluid dynamics, solid mechanics, and their interaction in biological systems.

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Kürsat Yurtمشاهده پروفایل

پژوهشگر ارشد

Technical University of MunichGermany

Kürsat Yurt, M.Sc., serves as a Research Associate at the Institute for Rotorcraft and Vertical Flight, Technical University of Munich (TUM), based at Boltzmannstr. 15, 85748 Garching, Germany. His role encompasses advanced computational research in vertical flight systems, thesis supervision, and participation in multiple national and international projects targeting next-generation rotorcraft technologies and urban air mobility solutions. Yurt's research spans High Performance Computing, Performance Portable Programming, Rotor and Wake Aerodynamics, and Aeroelasticity. He develops GPU-accelerated meshless methods for large eddy simulations, creates real-time guidance algorithms for urban obstacle avoidance, and investigates morphing airfoil dynamics through fluid-structure interaction frameworks. His work bridges computational mechanics with practical rotorcraft design challenges, emphasizing energy efficiency and flight safety in complex environments. His 2022-2025 publications reveal a cohesive trajectory in computational rotorcraft aerodynamics, featuring innovations in meshless GPU simulations, partitioned coupling techniques, and urban air mobility guidance systems. These works integrate computational fluid dynamics, high-performance computing, and aerospace engineering to address vertical flight challenges including wake modeling, morphing rotor blades, and rotor-airframe interactions. Yurt actively supervises Master's and Bachelor's theses on vortex particle methods, rotorcraft simulation frameworks, and morphing rotor technologies. His research is funded through key projects: ENGEL - Energy Efficient Flight Guidance VARI-SPEED II ARCTIS LaBouR complemented by completed initiatives like InteReSt II and TEMA-UAV. The Institute provides critical infrastructure for his work through specialized facilities: Whirl Tower for rotor dynamics testing Flight Simulator Facilities for pilot-in-loop studies Unmanned Rotorcraft Testbed (AREA) High-performance GPU/CPU clusters for computational workloads These resources enable experimental validation of his computational models and support the institute's mission in vertical flight innovation.

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