Wagdi George Habashi is a Professor and NSERC-Industrial Research Chair at McGill University's Faculty of Engineering, Department of Mechanical Engineering. He leads the Computational Fluid Dynamics (CFD) Lab, focusing on aerodynamics, fluid mechanics, and icing-related simulations. His research emphasizes in-flight icing prediction, computational wind engineering, and CFD-driven optimization of aircraft and jet engine systems. Education: Ph.D., Cornell University M.Eng., McGill University B.Eng., McGill University Research Interests: Habashi's work bridges analytical and computational methods to address multi-physics/multi-scale engineering challenges. Key areas include in-flight ice crystal ingestion in jet engines, ice surface roughness modeling, supercooled droplet dynamics, and CFD-based risk management for icing. His team develops tools like FENSAP-ICE for real-time aero-icing simulations and explores mesh adaptation, parallel computing, and reduced-order modeling. Labs/Teams: Computational Fluid Dynamics Lab (CFD Lab).
Hailong Chen is an Associate Professor in the Department of Mechanical and Aerospace Engineering within the Stanley and Karen Pigman College of Engineering at the University of Kentucky. His academic journey includes a Ph.D. in Mechanical Engineering from Arizona State University (2015) and an M.S. in Mechanical Engineering from the University of Florida (2012). Dr. Chen's research focuses on Computational Mechanics & Materials, with expertise spanning meshfree methods, multi-scale multi-physics modeling, mechanics of stochastic heterogeneous microstructures, and pervasive fracture and impact modeling. His work bridges theoretical developments with practical engineering applications through the CM 3 (Computational Mechanics and Methods) research group, which develops advanced computational techniques for real-world mechanics problems. The CM 3 group specializes in multi-scale multi-physics modeling of solid materials, damage and failure analysis under extreme conditions, mechanics of stochastic heterogeneous microstructures (composites, polycrystals), and computational materials engineering. Recent publications demonstrate strong activity in peridynamics, lattice particle methods, and computational homogenization techniques for fibrous and porous materials. Dr. Chen's research has resulted in numerous publications in top journals including Computer Methods in Applied Mechanics and Engineering and Mechanics Research Communications, with recent work focusing on generalized peridynamic formulations, micro-CT-based property computation, and fluid-structure interaction frameworks for hypersonic applications. His academic progression shows steady advancement from Postdoctoral Computational Scientist at Idaho National Laboratory (2015-2018) to Assistant Professor (2018-2024) and currently Associate Professor (2024-present) at the University of Kentucky.
Huadong Yao is an Assistant Professor at the Department of Marine Engineering, Chalmers University of Technology. His research spans renewable energy , fluid-structure interaction (FSI) , and transportation systems , with a focus on offshore wind farms, wave energy, and aero/hydroacoustics. Multi-University Collaboration : Guest professorships at international institutions Leadership Roles : Coordinator of Horizon 2020 projects (e.g., IVANHOE) and guest editor for journals Key Organizations : Member of AIAA, SAE International, RINA, ICNMT, and ICES Working Group on Offshore Renewable Energy His research integrates CFD and FSI coding (OpenFOAM, in-house codes) with turbulence modeling (LES, SNGR) to address problems in marine hydrodynamics (e.g., rim-driven thrusters, wind-powered ship propulsion) and terrestrial transportation (high-speed train aerodynamics, urban air mobility). Recent work explores biomechanics (whiplash injury hydrodynamics) and battery cooling systems for electric vehicles. Current projects focus on: Optimization of wave energy converter farms (hexagon layouts, mooring fatigue) Hubless rim-driven thruster design (gap geometry, concave cavities) Hydrographic impacts of offshore wind turbines on marine environments Urban air mobility (UAM) aerodynamics Multidisciplinary Design Optimization (MDO) using machine learning He collaborates with institutions like AIAA, SAE, and ICES, and has received funding from Horizon 2020 and Swedish national agencies.
Professor David Gillespie is an Associate Professor of Engineering Science at the University of Oxford and Deputy Head of Department for New Buildings. He is also a Fellow of St Catherine's College and affiliated with the Oxford Thermofluids Institute. His research focuses on critical aspects of gas turbine and jet engine technology, particularly in thermal management and fluid dynamics applications. Professor Gillespie attended Jesus College Oxford as an undergraduate and obtained his doctorate in 1996. He has been the Rolls-Royce Fellow in Engineering Science since 2003, demonstrating a long-standing relationship with industry in advancing gas turbine technology. His primary research interests include: Development of advanced seals for jet engines and industrial gas turbines Tip clearance control mechanisms for gas turbines using thermal activation systems Heat exchanger design for intercoolers and recuperators in jet engines Engine-realistic internal cooling systems, including dendritic cooling and ribbed passages Effects of volcanic ash ingestion on engine components Advanced instrumentation methods using thermochromic liquid crystals and IR cameras Professor Gillespie's recent publication record shows a strong focus on ice crystal icing phenomena in turbomachinery, particle deposition in gas turbines, and advanced thermal management techniques. His work combines experimental, analytical, and computational approaches to address critical challenges in gas turbine operation under extreme conditions. A significant portion of his recent work involves the development of predictive models for ice accretion and particle deposition, which have important safety implications for aircraft engines. As a key member of the Oxford Thermofluids Institute, Professor Gillespie leads research that bridges fundamental fluid dynamics with practical engineering applications in the aerospace industry.
Professor S.A. Sherif is a distinguished faculty member in the Department of Mechanical and Aerospace Engineering at the University of Florida. He holds the academic rank of Professor and specializes in thermodynamics, heat transfer, and sustainable energy systems. His research focuses on thermal system design, refrigeration, solar energy, hydrogen energy, and energy sustainability. He has made significant contributions to advancing renewable energy technologies, particularly in hydrogen systems and solar thermal applications. Professor Sherif’s expertise spans experimental and computational studies in thermal/fluid sciences, including frost and ice formation modeling, heat exchanger optimization, and spacecraft thermal management. He has served as an Associate Editor of the International Journal of Hydrogen Energy and led the editorial process for the seminal Handbook of Hydrogen Energy , highlighting his leadership in energy research dissemination. Research Contributions: Pioneering work in renewable hydrogen energy systems, thermal system design, and sustainable energy solutions. Editorial Roles: Leadership in ASME divisions and editorial roles for key energy journals. In 2024, he was honored with the prestigious ASME Frank Kreith Energy Award for his impactful contributions to energy sustainability. His work bridges theoretical advancements with practical applications, addressing global energy challenges through innovation and interdisciplinary collaboration. Professor Sherif’s research group collaborates with industry and academic institutions to develop cutting-edge thermal systems and energy storage solutions. His recent studies emphasize frost buildup simulations, solar collector optimization, and nanotechnology-enhanced phase transition phenomena.
Mariachiara Gallia is a Research Fellow at the Institute of Fluid Mechanics , Technische Universität Braunschweig , Germany. She specializes in in-flight ice accretion and numerical simulation of electro-thermal ice protection systems (ETIPS) for aerospace applications. Research Focus: Ice accretion modeling, robust optimization, uncertainty quantification, CFD, machine learning for fluid dynamics, ice roughness characterization. Projects: Participated in the European ICE-GENESIS project; currently co-supervises Ph.D. students in the MSCA DN-JD TRACES project. Education: Holds a Ph.D. in Aerospace Engineering from Politecnico di Milano, Italy. Her work spans numerical frameworks for ice protection systems, icing wind tunnel testing , and roughness effects on heat transfer . Key publications address robust optimization under uncertain cloud conditions, machine learning in fluid dynamics, and modular ETIPS designs for wind turbines.
Dr. Jafar Al-Zaili is a Lecturer in Power and Propulsion at City, University of London, and Programme Director for Mechanical Engineering. He holds a PhD in Aerospace Engineering from Cranfield University and has extensive experience in engineering roles including design, R&D, and project management. His research focuses on micro gas turbines for renewable energy, thermal energy storage, low-carbon propulsion, and energy policy dynamics. He teaches modules on Gas Turbine Engineering, Distributed Generation, and Aerodynamics/Propulsion. Education: PhD in Aerospace Engineering, Cranfield University (2012) MSc in Aerospace Propulsion, Sharif University of Technology (2001) BSc in Mechanical Engineering, Sharif University of Technology (1999) Postgraduate Certificate in Academic Practice, City, University of London Research Interests: His work addresses optimizing micro gas turbines for solar applications, pollution reduction in combustion systems, and the integration of distributed generation in urban areas. He explores thermal storage systems, hydrogen fuel utilization, and policy impacts on low-carbon technologies. Publications: Recent contributions include studies on hydrogen-methane combustion, privacy-preserving data-sharing schemes, and microgrid dynamic pricing. Over 30 peer-reviewed articles and chapters highlight his interdisciplinary impact. Awards: Fellow of the Higher Education Academy Official Nominator for VinFuture Prize Professional Activities: Session organizer for Cycle Innovations since 2015 Member of ASME TurboExpo 2020 Local Liaison Committee Guest Editor for Energies journal special issue on solar thermal power Conference Advisory Board member for International Gas Turbine Conference Labs/Teams: Part of the Turbomachinery and Energy Systems Research Group, collaborating on projects such as solar-powered microturbine systems and hydrogen-based propulsion.
Professor Qingwei Ma is a full Professor of Hydrodynamics at City, University of London, where he also serves as the Director of the Research Centre for Fluid-Structure Interaction. He holds a PhD in Ocean Engineering & Naval Architecture from University College London and has built a distinguished career in fluid dynamics and offshore engineering. His academic journey includes positions at Ocean University of Qingdao, University College London, Robert Gordon University, and City, University of London, where he has been since 2002. PhD, Ocean Engineering & Naval Architecture, University College London, 1998 MEng, Naval Architecture & Ocean Engineering, Harbin Engineering University, 1984 BEng, Naval Architecture & Ocean Engineering, Harbin Engineering University, 1982 Professor Ma’s research focuses on hydrodynamics of marine structures , nonlinear wave-structure interaction , and advanced numerical methods such as QALE-FEM, MLPG_R, and SPH. His recent work emphasizes multi-scale simulations for offshore wind turbines, wave energy converters, and floating platforms. He has developed and applied hybrid numerical models to simulate extreme wave events, vortex-induced vibrations, and fluid-structure interactions under complex environmental conditions. The 15 most recent publications reflect a strong trend toward hybrid computational methods , machine learning integration (e.g., GNN, CNN), and multi-physics coupling in offshore and renewable energy systems. His work spans journal articles, conference proceedings, and books, with a consistent focus on improving accuracy and efficiency in simulating violent wave interactions. His scientific recognitions include: CH Kim Award, ISOPE (2016) Vice-chancellor’s Award for Excellence in Learning and Teaching (2015) Chang Jiang Scholarship, China Professor Ma has supervised numerous PhD and master’s students, led major research projects, and contributed to editorial boards of journals such as Ocean Systems Engineering (Editor-in-Chief), Computer Modeling in Engineering & Sciences , and Journal of Ocean Engineering and Marine Energy . He is actively involved in international collaborations, particularly with Harbin Engineering University, where he holds a Visiting Chair Professorship. He leads the development of innovative simulation tools for offshore renewable energy systems, with applications in floating wind turbines, wave energy devices, and hybrid platforms. His lab focuses on high-fidelity numerical modelling using particle and finite element methods, with strong ties to experimental validation and industrial applications.
Georgios Rigas is an Associate Professor in Fluid Mechanics at the Department of Aeronautics, Faculty of Engineering, Imperial College London. He holds a Ph.D. in Aeronautical Engineering from Imperial College (2015) and previously worked as a postdoctoral scholar at Caltech and the University of Cambridge. His research bridges fluid mechanics, AI, energy, and environment, focusing on digital modeling and optimization of fluid systems. He leads projects like 'AI for Net Zero' (UKRI-funded) and collaborates with organizations such as the US Airforce and ONERA. He is involved in policy initiatives through ADViCE (AI for Decarbonisation) and serves on the board of Physical Review Fluids. Research Interests: Reinforcement learning for aerodynamic performance, turbulence modeling, hypersonic flows, data assimilation, and sustainable engineering. His work integrates machine learning with high-fidelity simulations to address challenges in aerospace and automotive industries. Key Projects: AI for Net Zero (Lead PI) Stability and Control of High-Speed Flows (US Airforce/UK-FR MoD) Model Reduction with Machine Learning (IC-CNRS/ONERA) Awards & Recognition: No explicit awards listed, but active in policy advisory and editorial roles. Advising & Labs: Leads the Flow Control Group and Imperial Aero Wind Tunnel. Research focuses on lab-scale experiments and computational tools like the BROADCAST CFD toolbox.
Sergio Bova is a Full Professor of Mechanical Engineering at the University of Calabria, affiliated with the Department of Mechanical, Energy and Management Engineering. His research focuses on internal combustion engines, renewable energy systems, fluid dynamics, and ship hydrodynamics. He has held visiting positions, including at MIT (1986–1987), and has received fellowships such as the ATA Fellowship (1978–1980) and the Agency for International Development Fellowship (Washington D.C.). His research interests include cooling systems for internal combustion engines, lubricating pump design, energy conversion via biomass and tidal currents, and optimizing ship hydrodynamics. Collaborations include Ferrari, Ducati, and the National Research Council (CNR). Recent work includes studies on micro-combined cooling systems, CCHP systems, and Li-ion battery thermal management. Key achievements include the development of predictive control strategies for engine cooling and contributions to wave energy converter technologies. He has led projects funded by public and private entities, including the SILPA SRL initiative under the POR Calabria FESR 2014–2020 program. Teaching focuses on mechanical engineering disciplines, though specific course details are not listed. His work integrates experimental and computational methods, emphasizing sustainable energy solutions and advanced thermal management.
Hui Tang is a Senior Lecturer in the Department of Mechanical Engineering at the University of Bath. He is affiliated with the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa) and the Centre for Sustainable Energy Systems (SES). His research focuses on buoyancy-induced flow, heat transfer in rotating systems, and aero-engine component design. He leads projects funded by the Royal Society and EPSRC, including studies on transient heat transfer experiments and hot gas ingestion effects. Dr. Tang holds a PhD from the University of Bath (2017) under supervisors including Prof. J. M. Owen, Prof. G. Lock, and Prof. M. Wilson. His work spans theoretical modeling, experimental investigations, and computational fluid dynamics. He has received prestigious awards from the American Society of Mechanical Engineers, including the 2023 Gas Turbine Award and multiple Turbo Expo Best Paper Awards. His research emphasizes turbine rim seals, compressor rotor dynamics, and thermal stress management. Recent articles highlight advancements in ingress wave models, mass-heat exchange in rotating cavities, and swirl effects on unsteady flows. He actively contributes to conferences like ASME Turbo Expo as organizer and speaker, and serves as a peer reviewer for journals such as the International Journal of Heat and Mass Transfer.
Tom Shih is a Professor of Aeronautics and Astronautics at Purdue University's School of Aeronautics and Astronautics since 2009. He holds degrees from National Cheng Kung University (B.S.E., 1976), University of Michigan (M.S.E., 1977; Ph.D., 1981). His research focuses on computational fluid dynamics, thermal management, and gas turbine aero-thermal systems. He serves as Editor-in-Chief of the AIAA Journal and chairs multiple professional committees. Education: B.S.E., National Cheng Kung University, 1976 M.S.E., University of Michigan, 1977 Ph.D., University of Michigan, 1981 Research Interests: Computational fluid dynamics (CFD), thermal management systems, gas turbine aerothermal analysis, shock-wave/boundary-layer interactions, aircraft icing mechanisms, and advanced cooling technologies for aerospace applications. Key Publications Trends: Recent work emphasizes hybrid LES/RANS modeling, film cooling optimization, and thermal management in rotating systems. Studies often bridge CFD methodology with experimental validation in turbine cooling and heat transfer. Awards: Fellowships: ASME (200?), AIAA (200?) Ralph R. Teetor Award (SAE, 1986) AIAA Energy Systems Award (2015) AIAA Thermophysics Award (2020) Grants & Advising: Advises on turbine cooling projects. Leads editorial efforts at AIAA Journal. Active in professional societies including AIAA Terrestrial Energy Systems Technical Committee and ASME IGTI K-14 Committee. Labs/Teams: Engaged in Purdue's aerothermodynamics research group, collaborating on turbine cooling and CFD methodology advancements.
Dr. Ryan Palmer is a Lecturer in the School of Engineering Mathematics and Technology at the University of Bristol. His expertise spans fluid dynamics, industrial modeling, mathematical biology, numerical methods, and asymptotic methods. He holds a PhD and MMath, with research focusing on the interplay between fluid mechanics, electrostatics, and biological systems. His research interests include the mechanics of fluid-body interactions, electrostatic sensing in arthropods, and the dynamics of boundary layers. Notable contributions involve modeling floral and arthropod electrostatics, aerodynamic impacts on liquid surfaces, and the theoretical analysis of mechanoreceptor arrays in arthropods. Palmer’s work bridges mathematical modeling with real-world applications, such as understanding environmental sensing mechanisms in arthropods and optimizing industrial fluid systems. His recent publications explore topics like nonlinear shear flow dynamics, skimming impacts on shallow liquids, and particle trajectory analysis in ice crystal conditions. While no specific grants or awards are listed, his research demonstrates a strong focus on interdisciplinary applications of mathematical and fluid dynamics principles.
Taeseong Kim is an Associate Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). His research focuses on wind turbine design, aeroelasticity, hydrodynamics, and control systems, with a particular emphasis on floating offshore wind turbines and icing effects. He leads major projects such as the Horizon Europe-funded NEXTgenT, aiming to develop over 25 MW offshore wind turbine rotors. His work contributes to UN Sustainable Development Goals related to affordable and clean energy. Kim’s expertise includes rotor dynamics, blade structural analysis, and advanced simulation tools. He has pioneered innovations like segmented blade concepts and partial pitch control systems for large turbines. His research integrates computational fluid dynamics (CFD), finite element analysis (FEA), and machine learning for structural health monitoring and damage detection. Key projects include DTWO (federated digital twins for offshore wind) and DigiWind (digital masters training in wind energy systems). He collaborates internationally through initiatives like IEA Wind Task 54 on cold-climate wind energy. His publications span aeroelastic stability, icing simulation, and hydrodynamic control strategies, with over 96 peer-reviewed articles and 19 active/funded projects. Kim’s work addresses challenges in turbine stability, load reduction, and environmental resilience, positioning him as a leader in advancing next-generation wind energy systems.
Sihong Yan is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). His research focuses on multiphase and thermal fluids in hazardous atmospheric conditions (e.g., icing clouds, freezing drizzle, hailstones) and advanced vertical lift vehicles, including rotor aerodynamics and fluid-structure interactions. He holds a Ph.D. and M.S. in Aerospace Engineering from Penn State University and a B.Sc. in Aeronautical and Astronautical Engineering from Shanghai Jiao Tong University. Prior to UCF, he served as a postdoctoral scholar at Penn State’s and Georgia Tech’s Vertical Lift Research Center of Excellence (VLRCOE) programs. His work includes developing icing experiment techniques for eVTOL certification and studying aero-propulsive coupling in electric ducted fans. Awards include the First Place in the 41st Annual Student Design Competition (as Faculty Advisor), the Leonard J. LeVasser Scholarship, and the Best Paper Award in the 74th AHS Annual Forum’s Test and Evaluation Session. Key research areas also encompass quantum computing for smart building controls, ventilation optimization in elevators, and thermal comfort models in automotive environments. His interdisciplinary approach bridges aerospace engineering, environmental science, and smart technology for aviation safety and sustainable systems.
