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Dr. Lixin Cheng is a Senior Lecturer in Chemical Engineering at the Department of Engineering and Mathematics, Sheffield Hallam University, where he contributes to teaching core modules such as Transport Phenomena and oversees the chemical engineering program. His research focuses on multiphase flow and heat transfer, including enhanced heat transfer technologies, nanofluids, and carbon capture systems. He has held academic roles globally, including at Aarhus University, EPFL, and Xi'an Jiaotong University, and has extensive industry experience as a design engineer. Dr. Cheng is an Alexander von Humboldt Fellow and serves as editor-in-chief for multiple journals, including the International Journal of Microscale and Nanoscale Thermal & Fluid Transport Phenomena . Education: PhD in Thermal Energy Engineering (Xi'an Jiaotong University, 1998), followed by postdoctoral and research roles at leading institutions. His interdisciplinary research spans oil-gas-water systems, sustainable energy, and thermal energy management. He has authored over 80 papers and 8 books, with a focus on advancing thermal-fluid science and engineering applications. Research interests include gas-liquid two-phase flow dynamics, flow boiling/condensation, microchannel heat transfer, and CO₂-based thermal systems. His work bridges experimental studies, computational modeling, and industrial collaborations, addressing challenges in energy efficiency and environmental sustainability. Key contributions include editorial leadership in thermal-fluid journals, organizing international conferences (e.g., ISTFD), and developing predictive models for flow boiling in microchannels. His recent publications (2021–2025) emphasize green hydrogen systems, supercritical CO₂ applications, and heat transfer enhancement in microscale systems. Awards: Alexander von Humboldt Fellowship (2000–present). Grants and collaborations include partnerships with international universities and industry players, focusing on thermal-fluid innovation. Labs/Teams: Active in Sheffield Hallam's Engineering and Mathematics Department, leading interdisciplinary research in multiphase systems and sustainable energy solutions.

• Multiphase Flow and Heat Transfer
• Thermal Energy Systems
• Sustainable Energy
• +3 more

Professor Manolis Gavaises is a leading academic in the field of mechanical engineering and computational fluid dynamics at City St George's, University of London, where he holds the position of Professor in the School of Engineering and Mathematical Sciences. He earned his PhD from Imperial College London and has been a faculty member since 2001, progressing to full Professor in 2009. His research is centered on advanced modeling of multi-phase flows, cavitation, and fuel injection systems, with extensive collaborations across Europe and industry partners such as Delphi, Caterpillar, and BP. Education: DIC, Mechanical Engineering, Computational Fluid Dynamics, Imperial College London, 1997 PhD, Mechanical Engineering, Computational Fluid Dynamics, Imperial College London, 1997 Diploma (5 years), Mechanical Engineering, National Technical University of Athens, 1992 His research interests span computational fluid dynamics, cavitation, fuel injection, atomization, high-pressure and supercritical flows, and alternative fuels . He has developed advanced numerical models and experimental techniques, including X-ray phase contrast imaging and high-pressure test rigs. His work integrates fundamental DNS and LES simulations with industrial applications in automotive, marine, aerospace, and medical devices such as heart valves. The recent publications reflect a strong trend toward real-fluid thermodynamic modeling (e.g., PC-SAFT), multi-component fuel behavior, cavitation erosion, and advanced diagnostics . His research increasingly incorporates machine learning and high-fidelity imaging to understand complex flow phenomena across energy, transportation, and biomedical domains. Scientific Awards and Recognitions: Richard Way Prize (1998) Arch T. Collwell Merit Award (1998) Best Oral Paper, SAE World Congress (2006) PE Publication Award, IMechE (2007) Best Presentation Award, Engine Combustion Processes (2009) Fellow, IMechE (2013) Fellow, IMA (2015) As a dedicated mentor, Professor Gavaises has supervised 13 PhDs to completion and currently guides 23 doctoral students. He has secured over €16 million in EU and UK funding, including multiple Horizon 2020 Marie Skłodowska-Curie ITN projects (CAFÉ, HAOS, IPPAD), which support 46 early-career researchers globally. He has created academic opportunities for post-docs and junior faculty, significantly advancing the research profile of his institution. He leads the International Institute of Cavitation Research (IICR), co-founded in 2011 with partners from Loughborough University, TU Delft, and Imperial College, supported by The Lloyd’s Register Foundation. His lab maintains strong experimental capabilities, including a 2000bar pressure flow rig with micro-transparent nozzles and collaborations with Argonne National Laboratory for X-ray imaging.

• Computational Fluid Dynamics
• Internal Combustion Engines
• Cavitation
• +13 more

Lande Liu is a Senior Lecturer in Chemical Engineering at the University of Huddersfield's School of Applied Sciences. Previously, he held a Lectureship at the University of Manchester (2010-2014), and earlier worked as an industrial consultant and research fellow at Leeds and Sheffield Universities. His academic journey began with a MEng in Chemical Engineering and a PhD in kinetic theory of aggregation from Sheffield (2004), preceded by a visiting PhD at Twente University (2002). Education: PhD in Chemical Engineering (University of Sheffield, 2004) Visiting PhD (Twente University, 2002) MEng in Chemical Engineering (Tsinghua University, 1999) BSc in Applied Mathematics (Tsinghua University, 1996) Liu's research focuses on multi-scale particle interactions (molecular to granular) using kinetic theory of aggregation, with applications spanning nanotechnology, pharmaceutical engineering, and sustainable chemical processes. His work aligns with UN Sustainable Development Goals for environmental protection and industrial innovation. Recent publications examine particle deposition in turbulent flows, enhanced heat exchanger designs, and nanofluid stabilization techniques. He teaches core chemical engineering topics including transport phenomena, unit operations, and process design. Active in collaborative research, Liu has partnered with institutions across Europe on projects involving spectroscopy, ultrasonics, and dynamic modeling. His technical expertise includes particle size analysis, tomography, and computational simulation of complex systems.

• Particle interactions
• Kinetic theory of aggregation
• Nanotechnology
• +5 more

Prof Nikolaos Nikiforakis is a Professor at the University of Cambridge, leading the Laboratory for Scientific Computing at the Cavendish Laboratory. He holds roles including Director for Academic Programmes of the Centre for Scientific Computing, Course Director of the MPhil in Scientific Computing, and Deputy Director of the EPSRC Centre for Doctoral Training in Computational Methods for Materials Science. He is also a Fellow and Director of Studies in Mathematics at Selwyn College, Cambridge. He directs The Gianna Angelopoulos Programme for Science Technology and Innovation. He holds a BSc in Aeronautical Engineering from the University of Manchester, followed by an MSc in Aerospace Propulsion and a PhD in 'Evolution of Detonation Waves' from Cranfield Institute of Technology. His postdoctoral research at the University of Cambridge’s Department of Chemistry focused on computational models for stratospheric ozone depletion. He later founded the Laboratory of Computational Dynamics at the Department of Applied Mathematics and Theoretical Physics before joining the Cavendish Laboratory in 2008. His research focuses on numerical algorithms and High Performance Computing for multi-physics simulations involving complex systems of nonlinear PDEs. Applications span detonation dynamics, plasma physics, and materials science, with industry collaborations for software development. His work addresses multi-scale, multi-physics problems previously deemed intractable, with practical applications in aerospace, energy, and environmental fields. He leads academic programmes in scientific computing and supervises doctoral research through the EPSRC CDT. His contributions bridge fundamental science and industrial innovation, emphasizing computational methods for materials and fluid dynamics.

• High Performance Computing
• Numerical Algorithms
• Computational Fluid Dynamics
• +4 more

Dr. Mohammad Yazdani-Asrami is a Lecturer in Electrically Powered Aircraft and Operations at the Autonomous Systems & Connectivity (ASC) division of the James Watt School of Engineering, University of Glasgow. He leads research in electrification and cryo-electrification of transportation, particularly in aviation, leveraging applied superconductivity and AI techniques. His research interests span the Electrification and cryo-electrification of power and transportation systems Design of superconducting components (machines, cables, fault current limiters) for aviation Application of AI, machine learning, and big data in engineering and superconductivity Hydrogen electrolysis, production, and integration in aerospace and power networks His recent publications demonstrate a strong trend toward intelligent modeling and AI-driven solutions in superconducting technologies, with a focus on electric aircraft, fault protection, and thermal management using cryogenic fluids. Dr. Yazdani-Asrami has received notable scientific recognition, including: UK Royal Academy of Engineering Global Talent (2021) Young Professional of the Year, Cryogenic Society of America (2023) He actively supervises PhD students and hosts visiting researchers. His advising portfolio includes Alireza Sadeghi, Kerr Smith, Dedao Yan, Giacomo Russo, and Fábio Gregório. He has secured funding from the EPSRC, University of Glasgow, and CSC for PhD students. He also supports postdoctoral fellowships from the Royal Academy of Engineering, Leverhulme Trust, and Marie Skłodowska-Curie actions. He is involved in several research groups and collaborations, particularly within the Aerodynamics, Propulsion and Electrification group. His editorial roles include serving on the boards of Superconductor Science and Technology , World Journal of Engineering , Aerospace Systems , and others. He regularly contributes to major conferences such as the Applied Superconductivity Conference and the International Conference on Magnet Technology.

• Electrification of Transportation
• Cryo-electrification
• Applied Superconductivity
• +12 more

Cav. Professor Sandro Macchietto holds the position of Professor of Process Systems Engineering at the Department of Chemical Engineering, Faculty of Engineering, Imperial College London. He is an internationally recognized expert in process systems engineering, sustainable energy systems, and industrial biotechnology. His research focuses on modeling, simulation, and optimization of industrial processes with applications in energy efficiency, heat exchanger networks, and fouling mitigation. He has led initiatives such as the Interdisciplinary Centre for Process Systems Engineering (CPSE), the Energy Futures Lab, and pioneered Imperial’s MSc in Sustainable Energy Futures. Professor Macchietto has co-founded two companies: Process Systems Enterprise (acquired by Siemens) and Hexxcell Ltd., specializing in process simulation and heat transfer software. He advises on technology transfer and enterprise strategies, including increasing DeepTech startups at Imperial by 4x. His advisory roles include memberships in the Scientific Committee of Institut Mines Telecom (Paris), EU ERC panels, and Strategic Advisor to Jiangsu Industrial Technology Research Institute (China). His research interests span thermal systems optimization, fouling dynamics in heat exchangers, and interdisciplinary energy solutions. Recent work emphasizes renewable energy systems integration, refinery preheat train optimization, and fouling prediction in dairy and oil industries. Articles highlight advancements in solar power network modeling, stochastic sandstorm impact analysis, and waste heat recovery strategies. Professor Macchietto has received prestigious awards including the McRobert Award for innovation, Queen’s Awards for Excellence and Enterprise, and the IChemE Sargent Medal. He is a Fellow of the Royal Academy of Engineering and Institution of Chemical Engineers, and was honored as Cavaliere of Italy’s Order of Merit.

• Process Systems Engineering
• Sustainable Energy Systems
• Heat Transfer and Fouling Mitigation
• +7 more

Marco Colombo is a Lecturer in Fluid Mechanics at the Department of Mechanical Engineering, University of Sheffield, School of Mechanical, Aerospace and Civil Engineering. He joined the university in late 2021 and focuses on computational fluid dynamics (CFD) for multiphase flows in nuclear systems. BSc: Energy Engineering, Politecnico di Milano MSc: Nuclear Engineering, Politecnico di Milano PhD: Politecnico di Milano (2013) His research specializes in Thermo-fluid dynamics of multiphase flows , particularly nuclear thermal hydraulics , boiling heat transfer , passive cooling systems , and two-phase flow instabilities . He employs advanced CFD techniques, including Eulerian-Eulerian and LES models, to study bubbly flows and reactor cooling dynamics. Recent publications highlight his work on Morphology-adaptive multifluid CFD for bubbly flows Generalized multiphase modeling (GEMMA) for multiscale flows Benchmarking turbulence closures in nuclear reactor applications Frictional pressure drop correlations in helical tubes Scientific achievements include an EPSRC Fellowship to address gas-liquid flow regime modeling. Collaborators span institutions such as the University of Leeds and Politecnico di Milano.

• Multiphase flows
• Nuclear thermal hydraulics
• Boiling heat transfer
• +4 more

Dr. Mohammad Moghimi-Ardekani is an Associate Professor of Clean Energy Technologies at Staffordshire University. His research focuses on renewable energy systems, particularly solar thermal technologies, thermal energy storage, and heat transfer optimization. He has published over 55 peer-reviewed articles and secured research grants totaling £1.7 million. His expertise includes Computational Fluid Dynamics (CFD), nanofluids, and heat exchanger design. Education: PhD in Mechanical Engineering (Energy Conversion), MSc in Mechanical Engineering (Energy Conversion subfield), BSc in Mechanical Engineering (Thermo-fluid subfield). Industrial experience includes over four years in design and simulation for solar thermal, oil, and petrochemical plants. Research interests span solar thermal systems, thermal storage materials, and advanced cooling solutions for batteries and electronics. He has received the Green Talent Award (2015) and a Promising Young Researcher rating (Y2) from the National Research Foundation. Teaching includes postgraduate and undergraduate courses in CFD, thermodynamics, and fluid mechanics. He serves on the editorial boards of three journals and reviews for 19 others. His work emphasizes sustainable energy solutions and industrial applications.

• Renewable Energy
• Solar Thermal Technologies
• Thermal Energy Storage
• +6 more

Aumber Abbas is a researcher at Newcastle University specializing in advanced materials for sustainable energy and environmental applications. His work spans nanotechnology, catalysis, and biomass conversion, with significant contributions to carbon-based nanomaterials and electrochemical systems development. His research focuses on synthesizing graphene quantum dots from biomass waste for environmental sensing and remediation applications, developing catalytic processes for CO 2 utilization and cyclic carbonate production, and engineering electrochemical systems including vanadium redox flow batteries. Recent work emphasizes waste-derived functional materials for optical security, anti-counterfeiting, and wastewater treatment through nanoporous catalyst design and plasma-based tar removal technologies. Analysis of recent publications (2024-2025) reveals a dominant trend in sustainable nanomaterial engineering, particularly biomass-waste-derived carbon structures with tailored optical and catalytic properties. His work integrates experimental validation with simulation approaches to address energy storage, environmental remediation, and security applications, demonstrating strong interdisciplinary collaboration within Newcastle's engineering research community.

• Materials Science
• Nanotechnology
• Chemical Engineering
• +5 more

Mostafa Barigou is a Professor of Chemical Engineering and Head of Postgraduate Studies (Research) at the School of Chemical Engineering, University of Birmingham. He holds a BEng (1st Class Honours) in Mechanical Engineering (1982), PhD in Chemical Engineering (1987), and DSc in Experimental and theoretical studies of complex flows and complex fluids (2011). His research focuses on fluid dynamics, rheology, and transport processes in complex fluids, leveraging advanced techniques like Positron Emission Particle Tracking (PEPT), CFD, and PIV. Professor Barigou has supervised over 20 PhD students and 10 postdoctoral researchers, contributing to industries such as food processing, pharmaceuticals, and metallurgy. His work has been funded by UK Research Councils and industry partners like Procter & Gamble, Nestlé, and Johnson Matthey. He is a Fellow of the Institution of Mechanical Engineers (FIMechE) and a Chartered Engineer (CEng). Research interests include: complex fluid dynamics, multiphase systems, foam and emulsion stability, and CFD modeling. His lab uses PEPT to study opaque systems, developing novel insights into mixing and flow dynamics. Collaborations span biomedical engineering (e.g., blood flow studies) and food engineering (e.g., mycoprotein pastes). Awards include the Elijah-Hepworth Memorial Prize (1982) and leadership roles in EPSRC grants. He edits journals like the International Journal of Food Properties and serves on national/international committees for chemical engineering and food engineering.

• Fluid Dynamics
• Rheology
• Multiphase Systems
• +6 more

Dr Sergii Veremieiev is an Associate Professor in the Department of Engineering at Durham University. His research focuses on fluid mechanics modeling, particularly in free-surface and multiphase flows, capillary phenomena, and computational fluid dynamics. He holds a PhD in Mechanical Engineering from the University of Leeds and has held academic positions at Liverpool John Moores University and Durham University since 2013. Education: Bachelor of Physics, Donetsk National University (2006) Master of Physics, Donetsk National University (2007) PhD in Mechanical Engineering, University of Leeds (2011) Research Interests: Dr Veremieiev’s work integrates computational and experimental approaches to study complex fluid dynamics phenomena, including droplet impact dynamics, rivulet instabilities, and high-performance numerical simulations using finite element and finite volume methods. His research addresses challenges in renewable energy systems, agricultural pesticide applications, and industrial flow optimization. Teaching: He teaches modules in fluid mechanics, nuclear engineering, and computational fluid dynamics (CFD) analysis at both undergraduate and postgraduate levels, including coursework in thermal renewables and design practicum. Advising & Grants: Supervised 4 completed PhD students and currently guides 5 active researchers. Develops numerical tools such as a C++/MPI free-surface solver and MATLAB subroutines for fluid dynamics analysis.

• Fluid Mechanics
• Computational Fluid Dynamics
• Multiphase Flows
• +6 more

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.

• Gas turbine engineering
• Jet engine seals
• Thermal management
• +4 more

Dr. Igor Chernyavsky is a Senior Lecturer in Applied Mathematics at the Department of Mathematics, The University of Manchester. His research focuses on complex living systems, particularly transport phenomena and biofluid dynamics in tissue physiology. He leads projects in continuum mechanics, mathematics in life sciences, and uncertainty quantification. His work contributes to UN Sustainable Development Goals through initiatives like Digital Futures, Christabel Pankhurst Institute, and Henry Royce Institute. Research interests include placental hemodynamics, biomimetic models, and multiscale modeling of biological systems. Key projects involve placental circulation modeling for stillbirth prediction, umbilical cord dynamics, and microfluidic studies of blood flow in porous media. He collaborates on placental imaging, bioreactor engineering, and clinical placentology. Recent publications highlight placental oxygenation, umbilical cord solute transfer, and robust fabrication of PDMS microcapsules mimicking red blood cells. His work bridges experimental and theoretical approaches, emphasizing clinical translation. He supervises PhD students and leads grants totaling £ millions, including Maternal & Fetal Health Research Centre (2018-2035) and ROBUST-BIOPRINT (2023-2025). He actively seeks collaborations in biomaterials, fluid dynamics, and biomedical engineering. Labs/teams: Continuum Mechanics Group, Mathematics in Life Sciences Team, and Uncertainty Quantification & Data Science Group.

• Applied Mathematics
• Biofluid Dynamics
• Transport Phenomena
• +3 more

Alessandro De Rosis is a Senior Lecturer in Virtual Engineering at the University of Manchester’s Mechanical and Aerospace Engineering department. His research focuses on multiphysics modeling using the lattice Boltzmann method (LBM), with applications in fluid-structure interaction, magnetohydrodynamics, and biomedical engineering. He holds a PhD in Structural and Hydraulic Engineering from the University of Bologna and a Master’s in Civil Engineering from the University of Calabria. His postdoctoral work included a PRESTIGE grant-funded period at the Laboratoire de Mécanique des Fluides et Acoustique, developing LBM algorithms for high-Reynolds magnetohydrodynamic flows. Key research areas include computational fluid dynamics (CFD) modeling of cardiovascular devices, such as LVAD outflow graft positioning to reduce aortic regurgitation, and coupled finite-volume/LBM methods for internal flows. He has contributed to over 60 peer-reviewed publications, with recent work spanning biomedical engineering, plasma physics, and environmental fluid dynamics. Collaborations include the Fluids Research Group at the University of Manchester and institutions like the Technion-Israel Institute of Technology. Education: PhD in Structural and Hydraulic Engineering (2013), University of Bologna Master of Engineering in Civil Engineering (2009), University of Calabria His research bridges theoretical physics and engineering applications, emphasizing multiphase flows, CFD-driven surgical optimization, and high-performance numerical simulations. Current projects address challenges in mechanical circulatory support devices, fluid-structure interaction in biomedical systems, and magnetohydrodynamic turbulence modeling.

• Multiphysics Modelling
• Lattice Boltzmann Method
• Fluid-Structure Interaction
• +3 more

Dr. Joel Daou is a Senior Lecturer in Applied Mathematics at the School of Mathematics, The University of Manchester. His research focuses on combustion theory, fluid mechanics, and numerical methods. He has supervised four PhD students and contributed to over 50 publications on flame propagation, turbulent combustion, and stability analysis. His work integrates analytical and computational techniques to study inhomogeneities in combustion processes. Key research areas include flame stability in shear flows, premixed flame dynamics under Darcy’s law, and diffusion-thermal instabilities. He is affiliated with research groups such as Energy & Multiphysics and Turbulence Mechanics. His research has explored topics like triple flames in mixing layers, droplet combustion in supercritical conditions, and the role of heat loss in flame quenching. Daou’s academic contributions span theoretical models for reaction zones, Taylor dispersion effects, and bifurcation analysis in combustion systems. His work bridges fundamental combustion science with engineering applications, addressing challenges in energy and environmental systems.

• Combustion
• Fluid Mechanics
• Numerical Methods
• +3 more