Stephen Benjamin is a Professor of Fluid Dynamics and Director of the Automotive Engineering Applied Research Group at Coventry University. His research focuses on applied fluid dynamics in automotive emissions after-treatment systems and simulation techniques for exhaust catalyst efficiency. He has extensive industry experience, including roles at Rover Group and MIRA, where he led combustion studies and CFD groups. Benjamin holds a BSc in Mathematics and a PhD in air pollution meteorology from Imperial College, followed by postdoctoral work at the University of Calgary. He has secured over £3 million in grants, including a £450K EPSRC project on selective catalytic reduction for light-duty vehicles. He collaborates closely with automotive OEMs and has published over 90 technical papers. Research interests include fluid dynamics, automotive emissions, CFD modeling, and catalytic converter design. He leads a research group emphasizing industrial partnerships and mentorship for junior engineers.
Dr. Abdelouahab Dehbi is a Senior Scientist at the Paul Scherrer Institute (PSI), Switzerland, affiliated with the Laboratory for Simulation and Modelling within the Center for Scientific Computing, Theory and Data. His research focuses on computational fluid dynamics (CFD), aerosol behavior, and severe accident analysis in nuclear systems. Key projects include the ARTIST initiative investigating aerosol retention in steam generators during severe accident scenarios. He specializes in modeling turbulence, multiphase flows, and thermal hydraulics with applications to nuclear reactor safety. Notable contributions include CFD-based studies on particle dispersion, condensation phenomena, and validation of safety codes against experimental data. Collaborations span international institutions, emphasizing experimental validation and code benchmarking. Research Contributions Development of stochastic and LES-based models for particle transport and deposition. Investigation of steam condensation dynamics in the presence of noncondensable gases. Leadership in the ARTIST project, yielding insights into SGTR (Steam Generator Tube Rupture) aerosol retention. Pioneering work on granular flow dynamics in pebble-bed reactors and hydrogen mitigation strategies. Key Collaborations Active in OECD/NEA CFD4NRS workshops and international projects like PHEBEN-2 and IPRESCA. His work bridges CFD simulations with experimental data from facilities like CESANE and PANDA. Future Work Ongoing focus on enhancing safety analyses through advanced CFD techniques, thermal radiation modeling, and validation of correlations for steam condensation under extreme conditions.
Stephen D. Christman is a Professor in the Department of Psychology at the University of Toledo, affiliated with the College of Arts and Letters. He holds a Ph.D. from the University of California, Berkeley (1988) and leads research in the Cognitive Neuropsychology Lab. Education: Ph.D., University of California, Berkeley, 1988 His research focuses on Cognitive Psychology , particularly Handedness , Hemispheric Asymmetry , Episodic Memory , and Visual Perception . He investigates how interhemispheric interaction influences memory, decision-making, and personality traits. Recent publications highlight trends in handedness research spanning Political Psychology , Memory Encoding , and Interhemispheric Communication . Articles from 2020–2021 examine links between handedness and political behavior, while 2017–2018 studies focus on memory retrieval using fNIRS and motor manipulation. Key co-authors include John D. Jasper, Andrew Geers, and R. E. Propper. His work has been cited extensively in Psychology , Neuroscience , and Public Health domains.
Prof. Dr.-Ing. Wolfgang Schröder is a full professor at RWTH Aachen University and currently serves as Dean of the Faculty of Mechanical Engineering . In addition, he is Director of the Institute of Fluid Mechanics and Aerodynamics , a member of the Steering Committee of the Profile Area Modeling & Simulation Sciences , and RWTH’s representative in the Scientific and Technical Council (WTR) of the Forschungszentrum Jülich. His professional addresses are Wüllnerstraße 5a, 52062 Aachen and Eilfschornsteinstraße 18, 52062 Aachen , reachable at office@aia.rwth-aachen.de and dekan@fb4.rwth-aachen.de . His research portfolio spans computational fluid dynamics , large-eddy simulation , aero-acoustics , turbulent boundary-layer control , drag-reduction technologies , high-performance computing for multi-phase flows, and biomedical flow modeling . Recent work emphasizes: Multi-fidelity and surrogate modeling for active flow control and drag reduction. Advanced LES and hybrid RANS/LES methods for complex internal and external flows. Coupled CFD/CAA approaches to predict and mitigate aero-acoustic noise from airframes, landing gears, and distributed propellers. High-resolution simulations of gas-liquid and electrochemical flows in engineering and biomedical contexts. Across more than 80 peer-reviewed contributions since 2021, a clear trend emerges toward physics-based machine learning , real-time optimization , and exascale-ready algorithms that integrate experimental data (PIV, DLS) with massively parallel simulations. Scientific Awards & Honors : No specific awards are enumerated in the supplied text; however, his continuous leadership roles (Dean, Institute Director, WTR representative) indicate sustained recognition within the academic community. Advising & Funding : While individual student names are not listed, Prof. Schröder heads a large research group responsible for numerous doctoral and master’s theses. Projects are supported by German federal programs, EU Horizon initiatives, and industrial partnerships with aerospace and automotive sectors. Laboratories & Teams : He directs the Institute of Fluid Mechanics and Aerodynamics (AIA), operates within the Center for Computational Engineering Science (CCES), and leverages RWTH’s high-performance computing clusters for large-scale simulations.
Stefan Wallin is a Researcher at the FLOW MECHANICS department of KTH Royal Institute of Technology in Stockholm, Sweden. His work focuses on turbulence modeling, computational fluid dynamics (CFD), and aerodynamic flow control. He teaches courses such as Applied Fluid Mechanics Calculations and Turbulence , and leads research in the FLOW Turbulence Lab. His research emphasizes Reynolds stress models, large eddy simulation (LES), and hybrid RANS-LES approaches for complex flows. Key research areas include wind energy systems, atmospheric boundary layer dynamics, and flow separation control. He has contributed to improving turbulence closure models for high-Reynolds number flows and wind turbine wake interactions. His work bridges experimental validation with CFD, addressing challenges in scale effects, variable resolution simulations, and machine learning-enhanced turbulence modeling. Wallin collaborates on projects involving morphing high-lift devices, climate modeling impacts of turbulence parameterization, and vortex generator jet flow control. His research has applications in renewable energy, aircraft design, and environmental fluid dynamics. He maintains an active publication record in journals like Physical Review Fluids and Boundary-layer Meteorology , with ongoing exploration of anisotropy-resolving subgrid models and hybrid simulation techniques.
Prof. Dr. Gert Lube is a faculty member at the Institute for Numerical and Applied Mathematics (NAM) within the Faculty of Mathematics and Computer Science at Georg-August-University Göttingen. His research focuses on numerical methods for partial differential equations , with emphasis on stabilized finite element methods , turbulence modeling , and magnetohydrodynamics (MHD) . Workshops Organized : Calibration of Viscosity Models for Turbulent Flows (2010), Variational Multiscale Methods (2008), Local Projection Stabilization (2008), BAIL Conferences. His academic contributions include 15+ publications since 2010 on topics like Navier-Stokes simulations , LES/VMS methods , stabilized FEM , and FEM-BEM coupling . Collaborations span institutions like TU Graz, Saarbruecken University, and DLR Göttingen. Key Research Areas : Finite Element Methods, Turbulence Modeling, MHD, Incompressible Flows, Singularly Perturbed Problems, Parallel Computing. Advisees include PhD candidates working on topics such as non-isothermal flows , mass conservation , hybrid RANS/LES , and domain decomposition .
Dominique Laurence is a Professor in the Department of Mechanical and Aerospace Engineering at The University of Manchester. He holds the Chair of Computational Fluid Dynamics (CFD) and previously led the Thermo-Fluid Division at UMIST. With a background from École des Ponts ParisTech, he specialized in hydraulics and turbulence modeling during his tenure at EDF R&D. His research focuses on advanced CFD methods for nuclear thermal-hydraulics, turbulence simulation (LES/RANS), and gridless methods like SPH. He leads the Fluids Research Group and collaborates on EU/national projects. Research interests include heat transfer in power plants, aerodynamics of vehicles/buildings, high-fidelity turbulence modeling, and CFD code development for industrial applications. His work addresses challenges in nuclear reactor thermal-hydraulics and flow-accelerated corrosion in lead-cooled systems. Recent projects include RANS/LES validation methods for aerodynamics (2012–2018) and ongoing Fluids Research Group activities. He contributes to datasets like DNS of jet-in-crossflow and conjugate heat transfer studies. Supervised 21 students and maintains active collaborations across Europe.
Dr. Laszlo Konozsy is a Reader (Associate Professor) in Fluid Mechanics and Computational Engineering at the Centre for Computational Engineering Sciences, Cranfield University. He serves as Course Director for the MSc in Aerospace Computational Engineering, a top 5 UK program. His expertise spans computational fluid dynamics (CFD), turbulence modelling, and multiphysics simulations with industrial applications in aerospace, automotive, and energy systems. PhD in Engineering Sciences, University of Miskolc (2004) PhD in Computational Fluid Dynamics, Cranfield University (2006) His research focuses on anisotropic turbulence modelling , hybrid LES/RANS methods , micro/nanofluidics , and multiphysics simulations for aerospace and industrial processes. He pioneered acoustic streaming models for space applications and developed high-order numerical methods for incompressible flows. Dr. Konozsy has authored two Springer books on turbulence modelling, which received 72,000+ views on LinkedIn. He has over 100 publications, including 40+ peer-reviewed journals, and supervised 10+ PhD students. His work involves collaborations with the European Space Agency , Reaction Engines Ltd. , and Pangea Aerospace . Best Lecturer (Student Led Teaching Award) 2014/2015 Best Research Supervisor (Student Led Teaching Award) 2015/2016 9 awards for supervisory excellence Dr. Konozsy teaches 2500+ academic hours across institutions, emphasizing computational engineering and turbulence theory. He has established new educational frameworks and mentored award-winning students, including recipients of the Lord Kings Norton Medal and Vice-Chancellor's Prize .
Professor Sylvain Laizet is a faculty member in the Department of Aeronautics at Imperial College London, part of the Faculty of Engineering. He holds a PhD and Habilitation à Diriger des Recherches from the University of Poitiers in France, specializing in Computational Fluid Dynamics (CFD). His research focuses on turbulent flows and their engineering applications, including wind farm optimization, quantum algorithms for fluid mechanics, and machine learning integration in CFD. Key research areas include: Wake-to-wake interaction in wind farms Bayesian optimization for drag reduction and energy efficiency Immersed boundary methods for moving objects Quantum computing for solving PDEs in fluid dynamics His work leverages high-order numerical methods and large-scale simulations, with contributions to frameworks like Xcompact3D and WInc3D. Recent publications emphasize quantum algorithms, turbulence entrainment, and data-driven optimization strategies for renewable energy systems. Scientific contributions span over 50 peer-reviewed articles in top-tier journals, focusing on advancing CFD methodologies and their applications in environmental and industrial fluid mechanics. His team collaborates globally, including partnerships in France and Brazil.
Amrita Acharyya is a Lecturer at the University of Toledo , affiliated with the College of Natural Sciences and Mathematics and the Department of Mathematics and Statistics . Her research focuses on abstract algebra, graph theory, and profinite structures. Full Name: Amrita Acharyya University: University of Toledo School: College of Natural Sciences and Mathematics Department: Department of Mathematics and Statistics Academic Rank: Lecturer Research Interests : Acharyya's work centers on cofinite graphs, profinite completions, and their applications to group theory. She explores connections between infinite graphs, topological structures, and algebraic systems. Her recent publications examine profinite groupoids and hybrid computational methods in rotor dynamics, suggesting interdisciplinary interests. Publication Trends : Her scholarly output spans pure mathematics (group theory, graph theory) and applied engineering domains (aerodynamics, computational fluid dynamics), with a focus on cofinite/profinite structures in theoretical frameworks. Advising & Grants : No formal advisees or grant funding are documented in available VIVO records.
Daniel Cuppoletti is a Professor at the University of Cincinnati, focusing on aeroacoustics , fluid dynamics , and propulsion systems . He serves as Principal Investigator (PI) for numerous federal and industry-sponsored grants, including projects funded by the Air Force, NASA, and General Electric Aviation. Research Interests: Aeroacoustics, supersonic jet noise reduction, detonation amplification, urban air mobility (UAM), and electric vertical takeoff and landing (eVTOL) systems. Grants: Over $1.4 million in awarded and active funding since 2019, including NASA, Air Force, and Ohio Department of Higher Education grants. Students: Mentored undergraduate and graduate scholars like Amanda Devillier, Alex Newberg, and Riley Gaetano, with a focus on propulsion and acoustics research. Labs: Affiliated with the University of Cincinnati's Engineering Research Center, conducting experiments on jet noise control and fluidic injection techniques. Article Trends: His recent work emphasizes noise reduction in supersonic and hypersonic flows , rotor-rotor interaction noise for UAM vehicles, and machine learning applications in fluid dynamics . Collaborations span institutions including NASA, Air Force Research Laboratory, and Ohio Space Grant Consortium.
Ali Farhadzadeh is an Associate Professor at the School of Marine and Atmospheric Sciences, Stony Brook University. His research focuses on nearshore hydrodynamics, sediment transport, and coastal protection systems. He holds a Ph.D. from the University of Delaware's Center for Applied Coastal Research (2011). His work addresses resilient coastal infrastructure, wave-structure interactions, and disaster resilience for vulnerable communities. Education: Ph.D., 2011 - Center for Applied Coastal Research, University of Delaware. Research interests include coastal flooding mitigation, sediment dynamics under extreme events, and marine renewable energy resource assessment. His recent studies explore scour processes, oyster reef functionality, and human-centric flood resilience strategies. Publications highlight trends in numerical modeling of wave impacts, physical experiments on bluff recession, and collaborative projects on debris dynamics. His research integrates computational tools with experimental data to improve coastal hazard prediction and infrastructure design. Grants include SCC-CIVIC-PG Track A (2022) for socioeconomically disadvantaged coastal communities and collaborative NSF projects on scour mechanisms. He leads efforts in experimental facilities and field observations for coastal processes analysis. Labs/Teams: Directs research on coastal hazards and resilience, with contributions to the School's marine and atmospheric science initiatives.
Prof. Dr. Muhamed Hadžiabdić currently serves as the ME Program Coordinator at the International University of Sarajevo (IUS) Department of Engineering. He earned his PhD from TU Delft in 2006, focusing on Thermal and Fluid Sciences, and completed postdoctoral work at Kramers Laboratorium in Multi-Scale Physics. Research interests include: Turbulence modeling with RANS and hybrid LES/RANS Heat transfer in urban flows and pollutant dispersion Flow control via rotary oscillations Computational Fluid Dynamics (CFD) applications for microclimate and environmental quality Thermal energy storage and building energy management His 2019-2025 publications emphasize hybrid modeling techniques, urban fluid dynamics, and high-Reynolds-number thermal flows. Recent work includes UTES systems, pollutant dispersion in real urban settings, and Rayleigh-Bénard convection at extreme Rayleigh numbers. Contact: mhadziabdic@ius.edu.ba | Office: A F1.31
Francesco Bonelli is an Assistant Professor at the Department of Mechanics, Mathematics & Management (DMMM) at Polytechnic University of Bari, Italy. His research focuses on fluid dynamics, computational modeling of hypersonic flows, and biomedical applications of microwave ablation technology. Academic Rank: Assistant Professor Department: Mechanics, Mathematics & Management Research Focus: Fluid Dynamics, Hypersonic Flow Simulation, Microwave Ablation Email: francesco.bonelli@poliba.it Research interests include: Thermochemical non-equilibrium in high-enthalpy flows GPU-accelerated fluid dynamics simulation Microwave applicator design for cancer therapy Active matter and liquid crystal dynamics Immersed boundary methods for hypersonic flows Turbulent jet analysis in aerospace applications Publication trends show expertise in hypersonic flow modeling, thermochemical non-equilibrium effects, and biomedical engineering applications, particularly in developing cost-effective microwave ablation devices. His work combines advanced numerical methods with practical engineering solutions. Contact : francesco.bonelli@poliba.it
Ghassan M. Abushaikha is a Research Assistant Professor in the Department of Medicinal and Biological Chemistry at the University of Toledo. His work focuses on small-molecule drug design for anticancer, antihyperlipidemia, and antiviral applications. Ph.D. in Medicinal Chemistry, University of Pisa, Italy (1997) B.S. in Pharmacy, University of Camerino, Italy (1993) B.S. in Chemistry and Pharmaceutical Technology, University of Camerino, Italy (1992) His research integrates molecular modeling and structure-based drug design (SBDD) using Molecular Operating Environment (MOE) software. Current projects involve optimizing compounds for colon and breast cancer therapies targeting PI3Ka and EGFR. Recent publications highlight synthetic strategies for quinolone- and podophyllotoxin-based derivatives, with a focus on antiproliferative and cytotoxic activities. A 2024 proceeding explores hybrid RANS-LES methods for rotor simulation, though this appears unrelated to his core medicinal chemistry work. Distinguished Researcher Award (2010, 2012), Al-Zaytoonah University of Jordan 15 Fellowships for AIDS Research (1995-1998), Istituto Superiore di Sanita, Rome, Italy Dr. Abushaikha has collaborated on grants for anticancer drug development and contributed to Jordanian patents for lipid-lowering agents. His expertise spans molecular docking, drug synthesis, and biological evaluation.
