Find Academic Supervisors

• Fluid Mechanics
• Computational Fluid Dynamics (CFD)
• Combustion Modeling
• +5 more

Rob J.M. Bastiaans is an Associate Professor at the Department of Mechanical Engineering, Eindhoven University of Technology (TU/e). He chairs the Dutch Section of the Combustion Institute and the Fuel Flexibility & Emissions workgroup at the European Turbine Network (ETN). His teaching focuses on mechanical engineering, combustion modeling, and sustainable energy systems. He holds a visiting senior professorship at Stanford University’s Center for Turbulence Research (CTR) and has affiliations with LBNL and Micro Turbine Technology (MTT). His research emphasizes fluid mechanics, numerical simulation, and combustion modeling with applications in gas turbines and sustainable energy. Current projects include hydrogen combustion optimization and non-conventional fuel integration in power plants. Academically, Bastiaans earned an MSc (honors) in aero-acoustics and a PhD in DNS/LES of buoyant convection flows. His expertise spans CFD, flamelet modeling (FGM), heat flux analysis, and experimental particle techniques. Notable contributions include validation studies of combustion models in OpenFOAM and LES-based simulations of stratified flames. He has led projects like H2-GT-FB (hydrogen combustion in gas turbines) and FLEXnCONFU (flexibilizing power plants with unconventional fuels). Bastiaans has supervised 57 academic works and contributed to over 200 research outputs. His work addresses UN SDGs through advancements in clean energy technologies, particularly in reducing emissions and improving fuel flexibility. Recent research trends focus on hydrogen combustion stability, metal fuel combustion, and high-temperature combustor design. Affiliations include the European Turbine Network (ETN), Center for Turbulence Research (CTR), and Micro Turbine Technology (MTT). He previously served as treasurer for Dutch sections of the Combustion Institute and IFRF.

Vincent MoureauView profile

Researcher

• Combustion Modeling
• Fluid Dynamics
• Computational Fluid Dynamics (CFD)
• +3 more

Vincent Moureau is a CNRS Research Fellow (HDR) at the CORIA laboratory, specializing in advanced computational fluid dynamics and combustion modeling. His research focuses on Large-Eddy Simulation (LES) of turbulent flows, spray dynamics, and thermo-acoustic instabilities in complex geometries. He is a core developer of the YALES2 solver, a high-order unstructured code for multiphase reactive flows. Positions: Research Fellow at CORIA, HDR, and affiliated with INSA de Rouen for teaching. Key Expertise: LES in gas turbines, piston engines, and wind turbines; numerical methods for HPC systems. He has taught courses on numerical methods, aerodynamics, and CFD software training. His work earned awards including the 2018 Grand Prix ONERA and the Digital Simulation Collaboration Award. His research includes industrial collaborations with SAFRAN and INRIA. Labs/Teams: Leads the YALES2 development team and contributes to the SIAME project for exascale computing. Active in the SIAME and MATI projects for aero-thermal systems and combustion modeling.

Miroslav ŽivkovićView profile

Professor

• Applied Mechanics
• Applied Informatics
• Computer Engineering
• +5 more

Miroslav Živković is a Professor at the Faculty of Engineering of the University of Kragujevac, Serbia. He holds a chair in Applied Mechanics and Automatic Control within the Department of Applied Mechanics and Automatic Control. His academic career focuses on computational mechanics, materials science, and structural analysis. Research interests include finite element method (FEM) applications, phase-field modeling of damage in materials, fluid dynamics simulations, and fatigue analysis of metallic alloys. He leads projects involving software development for engineering analysis tools, such as PAKF-Turbulent and SPH-LifeCycle. His publications emphasize structural health monitoring, material behavior under cyclic loading, and numerical methods for solving complex engineering problems. He collaborates on interdisciplinary projects combining mechanical engineering, computer science, and applied informatics. Key contributions include: Development of advanced FEM solvers for dam safety and industrial applications Experimental and computational studies on ductile fracture in steels and aluminum alloys Phase-field modeling of shape memory alloys and fatigue degradation Software tools for automated testing and parameter identification in engineering systems His work bridges theoretical mechanics with practical engineering solutions, addressing challenges in structural integrity, material durability, and computational modeling.

Xinrong LiView profile

Professor

• Wireless Communications
• Sensor Networks
• Signal Processing
• +7 more

Xinrong Li is a Professor in the Department of Electrical Engineering at the University of North Texas. He serves as the Associate Department Chair and holds an office in Discovery Park B231. His research focuses on wireless communications, sensor networks, signal processing, and IoT applications with emphasis on indoor geolocation, environmental monitoring, and smart systems development. He has contributed to advancements in Bluetooth mesh networking, thermal imaging-based occupancy detection, and additive manufacturing for aerospace components. His work integrates machine learning with sensor systems for real-time data analysis. Dr. Li has extensive experience in wireless sensor network design, including low-cost environmental monitoring systems and Raspberry Pi/Arduino-based implementations. He has explored energy-efficient protocols, time synchronization algorithms, and anti-collision RFID systems. His research also spans bioenergy systems, particularly gas production modeling during biomass pyrolysis using Gaussian functions. Key contributions include pioneering methods in indoor geolocation via UWB and RSS measurements, super-resolution TOA estimation, and cooperative localization algorithms. He has published over 60 articles since 2000, focusing on topics like MIMO systems, secrecy diversity in wireless channels, and compressive sampling for sensor networks. His work bridges theoretical foundations with practical applications in smart cities, agriculture automation, and environmental sustainability. Dr. Li has led projects in distributed energy management for microgrids and developed novel decoding methods for space-time coded MIMO systems. His educational contributions include curriculum design for project-oriented electrical engineering programs emphasizing lifelong learning. He maintains active collaborations in international research networks and serves on editorial boards for smart networking journals.

Byungik ChangView profile

Professor

• Structural Engineering
• Wind Engineering
• Wind Energy
• +5 more

Dr. Byungik Chang is a Professor of Civil Engineering and Chair of the Civil and Environmental Engineering Department at the University of New Haven's Tagliatela College of Engineering. He holds a Ph.D. in Civil Engineering (Structural Engineering) from Iowa State University (2007), an MBA from West Texas A&M University (2012), and prior degrees from Iowa State University. Before joining UNH, he was an Assistant Professor and Director of the Alternative Energy Institute at West Texas A&M, and worked at the Arizona Department of Transportation. His expertise spans structural engineering, wind engineering, wind energy, and infrastructure resilience , with a focus on numerical modeling and highway agency projects. He has advised numerous students on research projects and contributed to over 50 peer-reviewed publications. His recent work addresses pandemic impacts on transportation projects, sustainable building systems, and lightweight concrete materials. Dr. Chang also engages in public discourse on infrastructure safety and sustainable construction practices, as seen in media features like CBS News and Point2Homes. His teaching includes courses on structural analysis, steel/concrete design, bridge engineering, and wind engineering. He actively collaborates with industry partners on applied research, such as optimizing photovoltaic installations and improving bridge design methodologies.

Stefano LorenziView profile

Professor

• Nuclear Engineering
• Thermal Fluid Dynamics
• Molten Salt Reactors
• +5 more

Prof. Stefano Lorenzi is a Professor in the Department of Nuclear Engineering at the University of Pavia, specializing in advanced nuclear systems. His core research focuses on thermal-fluid dynamics, molten salt reactors (MSRs), small modular reactors (SMRs), and computational methods for reactor safety and economics. He leads projects like TANDEM and ELSMOR, addressing SMR integration into hybrid energy systems and European licensing frameworks. His work includes multiphysics modeling of MSR fission products, stability analysis of natural circulation loops, and neutronics simulations using OpenFOAM and Monte Carlo methods. Key contributions span reactor dynamics, control systems, and validation of open-source nuclear codes. Prof. Lorenzi's recent studies emphasize SMR economics, safety features of in-core bubbling systems, and hybrid data assimilation for reactor analysis. He collaborates with institutions like LENA (Laboratory of Energy Engineering) and contributes to international projects such as SAMOSAFER and the MYRRHA test facility.

Antonio CammiView profile

Professor

• Nuclear Engineering
• Thermal Fluid Dynamics
• Fusion Energy Systems
• +4 more

Prof. Antonio Cammi is a distinguished academic focusing on advanced nuclear technologies and thermal-fluid systems. His research integrates computational modeling, experimental validation, and innovative engineering solutions for fusion energy systems, molten salt reactors, and high-performance thermal management. Key areas include gyrotron design for plasma heating, remote maintenance systems for fusion facilities, and reactor safety through multiphysics analysis. He actively contributes to international projects like JUNO (neutrino detection), IFMIF-DONES (fusion materials testing), and EU-DEMO (demonstration fusion reactor). His work bridges fundamental physics with applied engineering, addressing challenges in reactor core dynamics, fuel cycle optimization, and computational efficiency. Notable methodologies include reduced order modeling (ROM), data assimilation techniques, and hybrid simulation approaches. Cammi collaborates with institutions like ENEA (Italian National Agency for New Technologies), ITER, and the University of Pavia (TRIGA reactor). Research interests span fusion plasma physics, advanced reactor materials, neutron radiation effects, and sustainable nuclear energy economics. His team develops novel tools for reactor safety assessment, including digital twins and real-time monitoring systems. Current projects emphasize high-flux testing infrastructure, passive safety systems, and modular reactor designs for next-generation energy systems.

• Multiphase flows
• Heat Transfer
• Computational Fluid Dynamics (CFD)
• +5 more

Natan Zawadzki is a Postdoctoral Research Fellow at the Oxford Thermofluids Institute and holds a Stipendiary Lecturership at St Catherine's College, University of Oxford. His research focuses on ice crystal icing experiments, numerical code validation, and reducing nitrogen oxide emissions through evaporative cooling in turbofan engines. He co-founded the International Society for Computational Fluid Dynamics (ISCFD). Education: BSc in Mechanical Engineering, University of Siegen (Germany) PhD in Aerospace Engineering, Cranfield University Research Interests: Multiphase flows, heat transfer, CFD, high-performance computing, turbomachinery, aero-thermodynamics, and aerospace propulsion. His work emphasizes turbulence modeling and particle deposition dynamics. Current Projects: DE-ICER: Collaborative initiative with Rolls-Royce, GKN Aerospace, and SATAVIA to develop ice crystal icing design capabilities and detection systems. Teaching: Leads Fluid Dynamics, Thermodynamics, and Engineering in Society modules. Engaged in teaching fluid mechanics and mathematics throughout his career. Labs/Teams: Particle Deposition Group at Oxford Thermofluids Institute.

• Computational Fluid Dynamics
• Aeronautical Systems
• High-Order Numerical Methods
• +5 more

Dr. Antonios Antoniadis is a Lecturer in Computational Engineering Science and Director of the Computational Fluid Dynamics (CFD) Masters program at Cranfield University. He leads the VR/AR Laboratory within the Aircraft Integration Research Center and a research group focused on computational methods for fluid dynamics. His expertise spans aeronautical systems, turbulence modeling, and renewable energy technologies. Education: BEng in Automotive Engineering, University of Sussex MSc in Mechanical Engineering, University College London PhD in Aerospace CFD, Cranfield University (2013) Research Interests: Dr. Antoniadis develops cutting-edge computational frameworks for engineering challenges. His work includes high-order numerical methods on unstructured grids, data-driven turbulence models, and multi-physics simulations. Applications range from helicopter aerodynamics and wind-farm optimization to supersonic flow analysis and fluid-structure interactions in morphing UAVs. He integrates AI/ML techniques for turbulence modeling and design automation, advancing sustainable aerospace solutions. Publication Trends: Recent articles highlight advancements in rotorcraft CFD, shock absorber fluid dynamics, and high-performance solver development. Predominant themes include validation of high-order schemes for transonic flows, vortex dynamics in hovering rotors, and scalable algorithms for renewable energy systems. His work consistently bridges theoretical computational methods with industrial aerospace applications. Awards: Fellowship of the Higher Education Academy (FHEA) Labs & Teams: Dr. Antoniadis directs a VR/AR laboratory pioneering human-computer interaction for CAE applications. His research group collaborates with industry partners (e.g., BAE Systems, Airbus, Red Bull Racing) on projects involving aerodynamic prediction, multi-phase flows, and HPC parallelization.

Luca BrunoView profile

Professor

• Computational Fluid Dynamics (CFD)
• Wind Engineering
• Bluff Body Aerodynamics
• +12 more

Luca Bruno is a Full Professor at the Department of Architecture and Design (DAD), Polytechnic University of Turin, where he conducts research and teaches in computational fluid dynamics, wind engineering, and crowd-structure interaction. He is affiliated with the Civil and Environmental Engineering Doctoral College and leads research initiatives on gridshells, wind loads, and sand mitigation. His work integrates computational modeling with structural design, contributing to sustainable infrastructure. PhD in Structural Engineering, Politecnico di Torino PhD in Fluid Mechanics, IRPHE, Marseille Diplôme d’Études Approfondies (DEA), École des Ponts ParisTech Degree in Architecture, Politecnico di Torino His research focuses on computational wind engineering , bluff body aerodynamics , crowd-structure interaction , and gridshell design . He develops numerical models to simulate wind and pedestrian effects on bridges and lightweight structures, emphasizing safety, serviceability, and sustainability. His work bridges civil engineering, architecture, and fluid mechanics. The most recent publications highlight trends in gridshell performance assessment , Italian extreme wind mapping , sand mitigation for railways , and benchmarking of aerodynamic simulations . These reflect a strong focus on practical applications of computational methods in structural and environmental engineering. IABSE OPAC Award (2008) ANIV Best Paper Award (2002) Youth Author Award, Footbridge 2005 OPTIME Award for Best Young Graduate (1997) Luca Bruno has supervised numerous PhD and master’s students, including Fiammetta Venuti and Davide Fransos. He has led competitive research projects such as SMaRT (H2020-MSCA-ITN) and national PRIN grants. His collaborations with industry (Optiflow, Sintecna, Permasteelisa) demonstrate strong applied research engagement. He also contributes to academic governance as a member of doctoral colleges and research centers. He is involved in the Research Centre on Buildings Aerodynamics and Wind Engineering (CRIACIV) , the BARC benchmark initiative , and collaborative labs with Optiflow and Permasteelisa. His work integrates experimental validation, computational modeling, and industrial application, particularly in wind-sensitive and pedestrian-loaded structures.

Duncan BormanView profile

Associate Professor

• Computational Fluid Dynamics
• Multiphase Flow
• Mathematical Modelling
• +7 more

Dr Duncan Borman is an Associate Professor at the School of Civil Engineering, University of Leeds . His expertise spans Computational Fluid Dynamics (CFD) , mathematical modeling , and multiphase flow with applications in environmental, energy, and industrial systems. Active in multidisciplinary research across the University, UK, and internationally Programme Leader for Civil and Structural Engineering undergraduate programme Faculty of Engineering Digital and Blended Learning Champion Research Interests : Dr Borman focuses on modeling complex multiphase flows involving chemical/biological processes (e.g., bioreactors, fuel cells, combustion) and moving boundaries (e.g., air-water interfaces, crystallization). His work combines in-house numerical code development with commercial solvers. Key projects: Algal growth/wastewater modeling for energy efficiency Crystallization of actinide salts using impinging droplets Alternative fuel combustion modeling for aviation emissions Development of SPH/meshless methods for inverse problems Collaborations : Works with the cross-faculty Centre for Computational Fluid Dynamics and the Institute for Public Health and Environmental Engineering (IPHEE). Engaged in PEM/SOFC fuel cell research with experimental facilities. Education Initiatives : Leads the ESTEEM1 project for interactive engineering mathematics education and chairs the Faculty of Engineering's Blended Learning committee. Scientific Awards : EPSRC Research Internship EPSRC and National Nuclear Laboratory funding University of Leeds Education Fellowship

Haluk AkselView profile

Professor

• Fluid Mechanics
• Gas Dynamics
• Fluid Machinery
• +3 more

Professor Haluk Aksel is a distinguished faculty member in the Department of Mechanical Engineering at Middle East Technical University (METU) in Ankara, Turkey. He holds the academic rank of Professor and has been contributing to the field of mechanical engineering, particularly in fluid dynamics and related areas, for several decades. His educational background includes: Bachelor's Degree from METU in 1976 Master's Degree from METU in 1978 PhD from Lehigh University in 1981 Professor Aksel's research interests span a wide range of topics within fluid mechanics and computational methods. His primary areas of focus include Fluid Mechanics, Gas Dynamics, Fluid Machinery, Finite Element Method, Computational Fluid Dynamics, and Solid Propellant Rocket Engine Design. His work demonstrates a strong emphasis on both theoretical and applied aspects of fluid dynamics, with particular attention to computational methods and their practical applications in engineering systems. Analysis of his recent publications reveals a continued focus on computational fluid dynamics, with particular emphasis on turbomachinery design, heat transfer optimization, and rocket propulsion systems. His work spans fundamental research in fluid mechanics and applied engineering solutions for practical problems in energy systems, aerospace, and thermal management. His technical expertise is evident in his development of computational tools like the MULTALL Open Source Throughflow Code for turbomachinery analysis. Professor Aksel has maintained consistent scholarly productivity throughout his career, with publications appearing regularly through 2025. His research has practical applications across multiple engineering domains, including aerospace engineering, automotive thermal management, and energy conversion systems.

Marcelo ReggioView profile

Professor

• Fluid Mechanics
• Computational Fluid Dynamics
• Lattice Boltzmann Method
• +3 more

Marcelo Reggio is a Full Professor in the Department of Mechanical Engineering at Polytechnique Montréal, where he has established a significant research career spanning fluid dynamics and computational methods. He is an active member of the Fluid Dynamics Laboratory (LADYF), focusing on cutting-edge simulations of complex fluid phenomena. His educational background includes: Baccalaureate from Chile Master of Applied Science (M.Sc.A.) from Polytechnique Montréal Ph.D. from Polytechnique Montréal Research Focus: Professor Reggio's work centers on Computational Fluid Dynamics (CFD) with specialization in the Lattice Boltzmann Method (LBM). His research addresses fundamental and applied challenges in: Turbomachinery design optimization Wind turbine aerodynamics and icing effects Rarefied gas flows through porous media Multicomponent and multiphase flow modeling River current dynamics This work bridges theoretical fluid mechanics with industrial applications in energy and manufacturing. Publication Trends: Analysis of his 15 most recent articles (2016-2024) reveals dominant themes: advanced LBM techniques for non-equilibrium gas flows, validation of open-source CFD codes, multiphase interactions, and stochastic modeling of porous materials. His methodological innovations consistently target improved accuracy in complex physical scenarios. Academic Supervision: Professor Reggio maintains an active research group, having supervised: 12 doctoral students 20 master's students Student theses frequently explore LBM applications, turbomachinery, and numerical method development. Laboratory Leadership: At the Fluid Dynamics Laboratory (LADYF), he contributes to developing computational frameworks for fluid simulation, emphasizing GPU acceleration and industrial problem-solving.

Dominique PelletierView profile

Associate Professor

• Fluid Mechanics
• Computational Fluid Dynamics
• Finite Element Methods
• +6 more

Dominique Pelletier is an Associate Professor in the Department of Mechanical Engineering at Polytechnique Montréal, where he has established himself as a leading researcher in computational fluid dynamics. His academic journey began with a B.Eng. and M.Sc.A. from Polytechnique Montréal, followed by advanced degrees (M.Sc. and Ph.D.) from Virginia Tech, providing him with a strong foundation in engineering and computational methods. Professor Pelletier's research spans multiple areas of fluid mechanics with particular expertise in finite element methods, turbulence modeling, and fluid-structure interaction. His work addresses both fundamental numerical challenges and practical engineering applications across aerospace, mechanical, and biofluid systems. He has developed innovative approaches to adaptive meshing, sensitivity analysis, and verification and validation of computational fluid dynamics simulations. Analysis of his recent publications reveals a continued focus on advancing numerical methods for complex flow problems, with particular emphasis on adaptive time integration techniques, model-consistent wall functions, and high-fidelity simulation of unsteady flows. His work bridges theoretical developments with practical applications in engineering design and analysis. Professor Pelletier has made significant contributions to the field through his extensive supervision of graduate students (11 PhD and 41 Master's theses) and numerous collaborations with researchers worldwide. His work on verification and validation methodologies has helped establish more rigorous standards in computational fluid dynamics practice. As a member of the Laboratoire de dynamique des fluides (LADYF), Professor Pelletier contributes to a vibrant research environment focused on advancing the understanding and application of fluid mechanics principles. His ongoing research continues to push the boundaries of computational methods for fluid flow simulation and analysis.

• Fluid Dynamics
• Computational Fluid Dynamics
• Direct Numerical Simulation
• +5 more

Prof. Dr.-Ing. Dominique Thévenin is Head of the Institute of Fluid Dynamics and Thermodynamics at Otto von Guericke University Magdeburg and former Dean of the Faculty of Process and Systems Engineering (2016–2022). He holds an honorary doctorate from Budapest University of Technology and Economics and previously conducted research at the Energetics EM2C Laboratory. Education Engineering Degree (Fluid Mechanics & Aerospace), École Polytechnique, France (1989) Ph.D., École Centrale Paris (1992) Habilitation (1999) Research Focus His work bridges fundamental and applied fluid dynamics, emphasizing: Complex reactive flows and industrial CFD validation High-fidelity simulations (DNS) for turbulence model development Optimization algorithms coupled with computational methods Advanced rheological measurements Honors Doctor honoris causa, Budapest University of Technology and Economics Laboratory Leadership He directs the Laboratory of Fluid Dynamics and Technical Flow, focusing on numerical and experimental techniques for industrial fluid systems.