Prof. Dr. Ir. B.J.H. van de Wiel is a faculty member at Delft University of Technology (TU Delft) within the Civil Engineering & Geosciences school, specializing in Atmospheric Remote Sensing and Boundary Layer Meteorology . Their research focuses on soil-atmosphere interactions, plant-atmosphere heat exchange, and frost protection mechanisms using wind machines. They have contributed to advancements in distributed temperature sensing (DTS) for environmental monitoring and explored dynamics of root growth under varying soil moisture conditions. Their recent articles emphasize temperature profiling over short vegetation , large-eddy simulation for orchard warming , and quantitative 3D investigations of wind machine performance . These works highlight interdisciplinary applications of atmospheric physics in agricultural and civil engineering contexts. Notable activities include organizing the 3rd Decennial Workshop on Turbulence in Stably Stratified Boundary Layers (2017) and contributing to public media discussions on frost research and climate impacts. Their datasets and open-access publications underscore commitment to transparent scientific collaboration.
Dr. Tim Persoons is an Associate Professor in the Department of Mechanical, Manufacturing and Biomedical Engineering at Trinity College Dublin, where he was appointed Assistant Professor in 2013. He serves as a CONNECT Funded Investigator and is affiliated with multiple Science Foundation Ireland research centers including SFI CONNECT, SFI SSPC, SFI MAREI and SFI ESIPP. Additionally, he maintains a long-standing visiting faculty position at the Cooling Technologies Research Center (CTRC) at Purdue University since 2009 and previously served as a Visiting Assistant Professor at KU Leuven during the 2009/2010 term. Dr. Persoons' primary research focuses on multi-scale convective heat transfer in electronics thermal management using unsteady flows, active flow control for sustainable energy technologies, and developing experimental thermal fluid measurement techniques. His work spans both fundamental fluid dynamics research and practical applications in data center cooling, pharmaceutical dissolution, and electronics thermal management. His research integrates computational modeling, experimental validation, and innovative measurement techniques to address critical thermal challenges. Analysis of his recent publications reveals a strong focus on advanced cooling technologies for data centers and electronics, with significant work on noise reduction in cooling systems, natural convection heat sinks, and two-phase flow phenomena. His research increasingly bridges thermal engineering with pharmaceutical applications, particularly in particle dissolution and drug delivery systems, demonstrating interdisciplinary collaboration with pharmacy researchers at Trinity College. Irish Research Council (IRC) Postdoctoral Fellowship (2008) IRC/Marie Curie INSPIRE International Mobility Fellowship (2010) Senior Research Fellowship in TCD (2012) 2013 Hartnett-Irvine Award from the International Centre for Heat and Mass Transfer Fellow of Trinity College Dublin (2020) Dr. Persoons has been actively involved in editorial roles as Associate Editor for IEEE Transactions on Components, Packaging and Manufacturing Technology since 2018 and Experimental Thermal and Fluid Science since 2020. He serves as an IEEE ITherm Ambassador and participates in EuroTHERM and THERMINIC scientific committees. His research has been supported by multiple SFI-funded projects including CONNECT, SSPC, MAREI and ESIPP, which focus on telecommunications, pharmaceutical science, energy, and power systems. He has co-organized numerous technical workshops including THERMINIC-2009, PowerMEMS-2010, and CTRC Workshops on Thermal Management in Telecom Systems and Data Centers. His research activities are centered within the Department of Mechanical, Manufacturing and Biomedical Engineering at Trinity College Dublin, where he leads investigations into thermal fluid dynamics and heat transfer phenomena. His work involves extensive collaboration with both engineering and pharmacy researchers, creating a unique interdisciplinary research environment that bridges thermal management challenges across multiple sectors.
Nicholas Morse is a Postdoctoral Researcher in the Engineering Mechanics Department at KTH Royal Institute of Technology in Stockholm, Sweden. He joined KTH in May 2025 and is supervised by Professors Philipp Schlatter (FAU Erlangen, KTH), Ramis Örlü (OsloMet, KTH), and Mihai Mihaescu (KTH). Dr. Morse earned his PhD in Aerospace Engineering & Mechanics from the University of Minnesota in 2023 under Professor Krishnan Mahesh. Prior to KTH, he served as a Senior Scientist at the Research Center Pharmaceutical Engineering in Graz, Austria (2023-2025), where he led simulation strategy for an EU Horizon 2020 project and developed computational methods for droplet breakup analysis. Nicholas Morse's research centers on: Curvature and rotational effects on turbulent flows Turbulent boundary layers on curved surfaces and spinning cones Eccentric Taylor-Couette-Poiseuille flow transition High-fidelity simulation of complex turbulent flows using DNS and LES His technical expertise spans: High-performance computing infrastructure Direct numerical and large-eddy simulation methodologies Adaptive mesh refinement algorithms Heterogeneous (GPU) computing implementations Multiphase flow modeling Academic recognition includes: John A. & Jane Dunning Copper Fellowship for Aerospace Engineering & Mechanics (2019) Donald & Shirley Gorence Scholarship (2018) Robert H. & Marjorie F. Jewitt Fund Scholarship (2017) Dr. Morse has extensive experience in computational fluid dynamics, having conducted large-scale simulations (>10,000 processors) at the University of Minnesota and developed the Multi-Element Wing Generator MATLAB application for Formula SAE aerodynamics design. His work bridges theoretical fluid mechanics with practical engineering applications across aerospace and pharmaceutical domains.
Michele Iovieno is an Associate Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin. He is a member of the College of Mechanical, Aerospace and Automotive Engineering and teaches courses in Aerospace Engineering at both undergraduate and graduate levels. His academic career spans multiple doctoral cycles (28th through 40th) in Aerospace Engineering and Fluid Dynamics programs. Dr. Iovieno's research focuses on fluid dynamics, particularly turbulence and particle-laden flows. His work explores fundamental aspects of turbulent heat transfer, direct numerical simulation (DNS) of turbulent flows, and Large Eddy Simulation (LES) techniques. His research lines include particle-laden streams, mixed convection phenomena, and non-isothermal turbulent flows with suspended particles. His work aligns with broader societal goals including climate action, quality education, and industry innovation. Analysis of his recent publications (2023-2025) reveals a strong focus on heat transfer mechanisms in particle-laden turbulent flows, with particular attention to thermal feedback effects, particle clustering phenomena, and mixed convection regimes. His research demonstrates sophisticated numerical approaches to studying complex multiphase flow phenomena, often employing direct numerical simulation techniques to examine fundamental fluid-particle interactions at high resolution. Dr. Iovieno actively supervises PhD students in the Aerospace Engineering program, with current advisees working on topics including particle-laden channel flows, heat transfer in non-isothermal turbulent flows, and mixed convection phenomena. His teaching portfolio includes courses on Fluid Dynamics for the Environment and Energy, Aerodynamics, and Thermofluid Dynamics across multiple academic years. He is affiliated with research groups focused on Fluid Dynamics and Boundary Layer Flow within DIMEAS, contributing to the department's expertise in computational fluid dynamics and turbulence research. His work connects theoretical fluid mechanics with practical applications relevant to aerospace engineering and environmental fluid dynamics.
Alex Novoselov serves as Assistant Professor in the Department of Mechanical Engineering at the University of Utah's College of Engineering, specializing in combustion dynamics and sustainable energy systems. His research encompasses: Hydrogen and ammonia combustion for decarbonization Turbulent boundary layer flashback phenomena Deflagration to detonation transition (DDT) Hybrid rocket propulsion systems Cool flame dynamics and low-temperature combustion Recent publications (2020-2025) reveal a strong computational focus using Large Eddy Simulation and manifold-based reduced-order models to address safety challenges in gas turbines and rocket engines. His work increasingly investigates ammonia/hydrogen blends as sustainable aviation fuels while maintaining core expertise in flashback dynamics. Dr. Novoselov mentors undergraduate researchers through the Summer Program for Undergraduate Research (SPUR), emphasizing project relevance, achievable milestones, and presentation skill development. His NSF CAREER award supports fundamental research on lean hydrogen flame stability in gas turbines. His computational research group develops advanced simulation frameworks for complex reacting flows, contributing to next-generation propulsion and power generation technologies.
Santanu De is a Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur). His research specializes in Fluid and Thermal Sciences, with a focus on combustion dynamics, turbulence modeling, and computational fluid dynamics. He supervises multiple graduate students including PhD and M.Tech candidates. Education: PhD, Aerospace Engineering, IISc Bangalore (Thesis: Modeling and Computation of Turbulent Nonreacting and Reacting Sprays) M.Tech, Mechanical Engineering, IIT Kanpur B.Tech, Mechanical Engineering, Jalpaiguri Govt. Engineering College Research Focus: His work explores turbulent combustion, spray ignition, biomass energy systems, and advanced computational methods like Large Eddy Simulation and stochastic modeling. Research applications include sustainable energy and propulsion systems. Publication Trends: Recent articles emphasize computational fluid dynamics applied to combustion optimization, spray dynamics, and multiphase flows, using techniques like Conditional Moment Closure and lattice Boltzmann methods. Laboratory: Leads the CFD Laboratory at IIT Kanpur's Northern Laboratory (NL 302), focusing on experimental and computational combustion research.
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.
Koen Hillewaert is a Lecturer at the University of Liège (ULiège), working within the Faculty of Applied Sciences, specifically in the Department of Aerospace and Mechanics. He is affiliated with the Design of Turbomachines and Propulsors (DoTP) research group, located in Building B52/3 at Quartier Polytech 1. His work focuses on advanced computational methods for fluid dynamics and turbomachinery applications. His educational background includes: Doctor of Engineering Sciences from Catholic University of Louvain (2013) Electromechanical Engineer from Ghent University (1995) Hillewaert's research spans multiple areas of fluid dynamics and turbomachinery, with particular expertise in computational fluid dynamics using high-order methods. His work focuses on turbomachinery design and analysis, including gas turbines, hydraulic turbines, pumps, and compressors. He has developed expertise in discontinuous Galerkin methods for fluid flow simulations, with applications ranging from aerospace propulsion to wind energy systems. His research integrates numerical analysis, machine learning techniques for flow modeling, and advanced computational techniques for plasma physics applications. His recent publications demonstrate a strong focus on high-fidelity simulation methods for turbomachinery flows, with particular attention to wall-resolved simulations, turbulence modeling, and geometric variability effects. There's a clear trend toward integrating machine learning techniques with traditional computational fluid dynamics approaches, particularly for wall modeling in separated flows. His work spans both fundamental numerical method development and practical engineering applications in aerospace and energy systems. Hillewaert holds significant institutional roles including Vice-president of KNC in the European Research Community on Flow Turbulence and Combustion (ERCOFTAC) and membership on the steering committee of the CFD General Notation System (CGNS), indicating his standing in the international CFD community. He teaches several advanced courses including Aerospace Propulsion, Aerothermodynamics of High-Speed Flows, Wind Energy, Flow in Turbomachines, Practical Fluid Mechanics for the Process Industry, and Turbomachines, demonstrating his broad expertise across fluid dynamics and turbomachinery applications.
Dr. Esteban Ferrer Vaccarezza serves as a full Professor (Catedrático) in Applied Mathematics at the School of Aeronautics (ETSIAE-UPM) of the Polytechnic University of Madrid, where he leads the FerrerCFD research group within the Department of Mathematics Applied to Aerospace Engineering and the Center for Research in Computational Simulation (CCS). Education and Professional Background: Doctorate in Engineering from the University of Oxford, specializing in high-order numerical methods development Pre-PhD industry experience: Six years as research scientist/consultant at CENER (Spain's National Renewable Energy Centre) in the UK and Spain Research Focus: Dr. Ferrer pioneers high-order (order ≥ 3) Computational Fluid Dynamics solvers using Spectral and Discontinuous Galerkin methods. His work minimizes numerical dispersion/diffusion errors through mesh refinement (h-refinement) and polynomial enrichment (p-refinement), achieving exponential convergence for smooth solutions. Key application domains include aerodynamics, aeroacoustics, turbulence modeling, and machine learning integration for wind/tidal turbine optimization. Current Research Impact: The FerrerCFD group develops industry-relevant computational tools for complex aeronautical flows (e.g., airfoil simulations at high angles of attack) and renewable energy systems (horizontal-axis/Darrieus turbines). Their unique sliding mesh capability enables high-fidelity rotating body simulations, validated through Direct Numerical Simulation (DNS) and Large Eddy Simulation (LES) for bluff body flows and turbine wake interactions. Research Infrastructure: The group maintains active industry partnerships to translate mathematical innovations into practical engineering solutions, with demonstrated capabilities in 3D unstructured parallel solvers, Fourier-series-extended flow modeling, and multi-phase fluid dynamics simulations for cross-flow turbines.
Dr. Gonzalo Rubio Calzado is a Associate Professor at the Department of Applied Mathematics to Aerospace Engineering , part of the Universidad Politécnica de Madrid (UPM) . He is affiliated with the Research Group: Numerical Methods and Applications to Aerospace Technology and the Center for Research in Computational Simulation (CCS) at UPM. Bachelor's in Aeronautic Engineering (UPM, 2009) Master's in Aerospace Engineering (UPM, 2011) PhD in Aerospace Engineering (UPM, 2015) His research spans fluid dynamics, high-order numerical methods, and machine learning applications in CFD, with over 50 publications and an h-index of 15 (last 5 years). He focuses on: Discontinuous Galerkin (DG) methods Error estimation and hp-adaptation Turbulence modeling and LES Machine learning for flow simulations Multiphase flow analysis Industrial applications (aeronautics, energy systems) Recent publications emphasize machine learning integration with high-order DG solvers, turbulence modeling, and optimization techniques. His work includes collaborations with companies like REPSOL and AIRBUS, as well as national and European projects (SIMOPAIR, DeepCFD, HERFUSE, ROSAS). Scientific awards include the Extraordinary PhD Award (2015). He is the lead developer of the open-source HORSES3D high-order CFD project and contributes to energy measurement patents for building efficiency.
Stéphane Viazzo is a Lecturer with Habilitation to Supervise Research (HDR) at Aix-Marseille Université (AMU), affiliated with the M2P2 Institute (Institute of Mechanics, Civil Engineering and Environmental Sciences). He is a member of the Thermodynamics, Waves, Digital, Interfaces and Combustion research team within the Faculty of Science. His research focuses on fluid dynamics, particularly in rotating systems. Key areas include: Rotating flows: Taylor-Couette systems, Taylor-Couette Poiseuille flows, baroclinic and stratorotational instabilities Direct and large-eddy turbulent simulations, including jet impacting rotating disks Numerical simulations around deformable bodies, with applications to fish swimming Development and application of high-order numerical methods for fluid flow problems Dr. Viazzo's work demonstrates a strong emphasis on computational approaches to understand complex fluid phenomena, particularly those involving rotation, thermal effects, and turbulence. His research often bridges theoretical fluid dynamics with practical engineering applications. His publication record shows consistent contributions to fluid dynamics journals, with recent work focusing on thermal effects in rotating annular systems, stratorotational instabilities, and advanced numerical methods. The articles demonstrate progression from fundamental flow instability studies toward more complex applications involving thermal gradients and deformable boundaries.
Vigneshkumar Balamurugan is a Tutor at Technische Universität München (TUM), affiliated with the Chair of Environmental Sensing and Modeling under Prof. Jia Chen. His work focuses on satellite-based environmental monitoring and emission modeling. Research Interests: His expertise lies in analyzing air pollutants and greenhouse gases (GHGs) through satellite measurements (TROPOMI, GOSAT, OCO-2/3, OMI) and machine learning techniques. He investigates the spatiotemporal dynamics of NO2, O3, and PM2.5, particularly examining the impact of the 2020-2021 COVID-19 lockdown on atmospheric composition. His methods integrate satellite data with ground observations and large-eddy simulation (LES) models to assess pollution drivers and emission patterns. Publication Trends: His recent work (2025-2023) emphasizes: Urban air quality modeling (Munich/Delhi) using LES and machine learning CO2 emission tracking via NO2 proxies in satellite data Comparative analysis of MODIS/VIIRS AOD products for PM2.5 prediction Standardization of low-cost sensor calibration models Contact: Email: vigneshkumar.balamurugan@tum.de
Cedrick Ansorge is a Lecturer at the Institute of Meteorology within the Department of Earth Sciences at Freie Universität Berlin . His research focuses on turbulence modeling , atmospheric boundary layer dynamics , and computational fluid dynamics , with expertise in large eddy simulation (LES) and direct numerical simulation (DNS) of turbulent flows. Teaching: Theoretical Meteorology I/II (Master's level) Email: c.ansorge@fu-berlin.de His work addresses scale separation , roughness effects , and stability analysis in Ekman and planetary boundary layers, with applications to urban canopy turbulence and Arctic stratocumulus clouds . Recent publications emphasize hairpin vortices , turbulence intermittency , and subgrid closures . He collaborates on projects involving MOSAiC and sea ice dynamics , and manages datasets on turbulent wall-bounded flows . Notable contributions include advancements in Monin-Obukhov similarity theory , LES validation , and pressure-strain redistribution in stratified flows. His team includes researchers Sally Issa and Shreyas Deshpande . Office hours: Wednesday 10:30-11:30 am, Room 139, Carl-Heinrich-Becker-Weg 6-10, 12165 Berlin.
Jean-François LARGEAU is a Teacher-researcher at IMT Atlantique Nantes, affiliated with the GREEN team and the Department of Energy Systems and Environment (Département Systèmes Énergétiques et Environnement) at Institut Mines-Télécom. He has been an associate researcher at GEPEA since 2014 and maintains strong connections with Icam where he began his academic career in 2011. His educational background includes a Master's degree in Fluid Mechanics and Turbulence from the University of Poitiers, followed by a doctorate in Acoustics and Dynamics of Unsteady Flows in 2004. Prior to entering academia, Dr. LARGEAU gained valuable industry experience working for R&D support companies serving major industrial groups and later with the Trelleborg/Tristone group in the automotive plastics industry. Dr. LARGEAU's research focuses on the energy recovery of waste through thermochemical processes, particularly pyrolysis and gasification to produce alternative fuels. His work aims to optimize the pyro-gasification process through both experimental studies on prototypes and comprehensive modeling approaches. His recent publications demonstrate a strong emphasis on converting various biomass wastes and challenging materials like used tires and petroleum sludge into valuable energy products. His research output shows a clear progression toward more sustainable waste-to-energy solutions, with particular attention to orange peels, agro-food wastes, and other abundant biomass resources. The work often combines experimental characterization with advanced modeling techniques to understand the fundamental processes and optimize conversion efficiency. 31 publications with 10,386 reads and 464 citations Active research in biomass energy, biofuels, biogasification, and biogas production Focus on practical applications of waste-to-energy technologies Dr. LARGEAU's advisory work appears to focus on graduate students involved in energy systems research, particularly those working on waste conversion technologies. His collaborations span multiple institutions, with strong ties to Mohand Tazerout's research group. His laboratory work centers on experimental studies of pyrolysis and gasification processes, with facilities for prototype testing and material characterization. The research group appears to have active projects on various waste streams including biomass wastes, used tires, and petroleum sludge.
Professor Andreas Kronenburg serves as Institute Director and Dean of Studies at the Institute for Reactive Currents (WASTE) at the University of Stuttgart. With a background in mechanical engineering from RWTH Aachen and a PhD in Combustion Engineering from the University of Sydney, he has established himself as a leading researcher in combustion science. His career includes significant positions at Imperial College London where he served as Governor's Lecturer in Thermofluids (2000-2007) and Reader in Combustion (2007-2008) before joining the University of Stuttgart in 2009. Professor Kronenburg's educational background includes: RWTH Aachen, Mechanical Engineering (1989-1994) Universidad Politécnica de Madrid, Study Abroad (1992-1993) University of California at Davis, Study Abroad (1992-1993) University of Sydney, PhD in Combustion Engineering (1995-1998) His research focuses on advanced combustion modeling, particularly turbulent reactive flows, spray combustion, and nanoparticle dynamics. Kronenburg has made significant contributions to Large Eddy Simulation (LES) techniques, Conditional Moment Closure (CMC) methods, and particle-based modeling approaches. His work spans fundamental combustion science and practical applications in energy systems, with recent emphasis on sustainable fuels including hydrogen, ammonia, and biomass conversion. His research group develops sophisticated computational models that address challenges in predicting complex combustion phenomena with high accuracy. Analysis of his recent publications (2023-2026) reveals a strong focus on emerging energy technologies, particularly hydrogen and ammonia combustion for decarbonization, advanced particle dynamics in combustion systems, and computational methods for efficient simulation of complex reacting flows. His work demonstrates consistent innovation in modeling techniques while addressing practical engineering challenges in sustainable energy systems. Professor Kronenburg's scientific achievements have been recognized with numerous prestigious awards: Fellow of the Combustion Institute (2019) Distinguished Paper Award of the Combustion Institute (2013) Hinshelwood Prize for meritorious work of a young researcher (2006) Two Sudgen Awards for significant contributions to combustion science (2005, 2006) Best paper award at the Australian Symposium on Combustion (1997) Springorum Commemorative Medal for academic excellence (1994) With over 3,300 citations across 164 publications and an h-index of 33, Professor Kronenburg maintains an active research program with significant impact. His work has received support from organizations like the German Research Foundation (DFG), and he collaborates extensively with international institutions including Imperial College London and the University of Sydney. The computational resources available to his research group through bwGrid and HLRS enable large-scale simulations that advance the understanding of complex combustion phenomena. The Institute for Reactive Currents under Professor Kronenburg's leadership focuses on cutting-edge research in combustion science and engineering. The institute develops advanced computational models for predicting combustion behavior in various applications, from traditional energy systems to emerging sustainable technologies. With expertise in both fundamental combustion processes and practical engineering applications, the institute contributes significantly to addressing current challenges in energy conversion and environmental protection.
