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Prashant ValluriView profile

Professor

• Fluid Dynamics
• Multiphase Flow
• Computational Fluid Dynamics
• +5 more

Professor Prashant Valluri is a Personal Chair in Fluid Dynamics at the University of Edinburgh's School of Engineering, where he also serves as Director of Discipline and Head of Graduate School (since 2018). His research focuses on developing mathematical models for complex multiphase flow patterns to address industrial challenges including oil-gas transport, slurry transport, distillation, absorption, thermal management of microdevices, and biological problems such as cerebral temperature regulation and lung function. Professor Valluri earned his PhD in Chemical Engineering from Imperial College London in 2004 with a thesis on "Multiphase fluid dynamics in structured packings" and holds a Bachelor of Technology (Distinction) in Chemical Engineering from Dr. BA Technological University, Lonere, India (1998). He is an active member of several professional organizations including the American Association for Advancement of Science, American Physical Society, and Indian Society for Surface Science Technologists. His research expertise spans multiphase and single-phase fluid dynamics , transport phenomena , stability theory and turbulence , and biological fluid dynamics . Professor Valluri has developed several open-source computational tools including the Two Phase Level Set (TPLS) Solver for high-resolution DNS of multiphase flows, the Vascular Porous (VaPor) Solver for simulating biological temperatures, and the Gerris Immersed Solid Solver (GISS) for solid-fluid flow simulations. His work has significant applications in industrial cleaning, oil-gas transport, thermal management of microdevices, and cerebral temperature regulation. Professor Valluri's recent research publications demonstrate a strong focus on multiphase flows, droplet dynamics, boiling heat transfer, and computational fluid dynamics. His work combines theoretical modeling with high-performance computing to solve complex fluid dynamics problems across various scales, from microdevices to industrial applications. The research shows particular strength in Direct Numerical Simulation (DNS) techniques applied to multiphase systems. Member of American Association for Advancement of Science Member of American Physical Society Member of Indian Society for Surface Science Technologists Associate Member of IChemE Invited JSPS Fellow at Kyushu University (2018) Extraordinary Professor at University of Pretoria (2019) Professor Valluri has supervised numerous PhD students to completion, including Dr. Pedro J Sáenz (2014), Dr. Pei Shui (2015), Dr. Patrick Schmidt (2017), Dr. Stephen Blowers (2018), and several others through 2021. He has secured significant research funding for projects including ACoolTPS (Advanced Cooling of high power microsystems using Two-Phase Flows Systems) and ThermaSMART (Smart Thermal Management Of High-power Microprocessors Using Phase-change). His research group, the Institute for Multiscale Thermofluids, focuses on Multiphase Flows and Transport Phenomena. Professor Valluri leads the Multiphase Flows and Transport Phenomena Special Interest Group of the UK Fluids Network and has established extensive international collaborations with institutions including Imperial College London, University College Dublin, Université de Lyon, Université Pierre et Marie Curie, MIT, Stanford University, and Kyushu University.

• Thermal Engineering
• Fluid Dynamics
• Heat Transfer
• +7 more

Petr Nikrityuk is a Professor in the Department of Chemical and Materials Engineering at the University of Alberta, specializing in thermal sciences, fluid dynamics, and computational modeling. His work bridges energy systems, combustion processes, and advanced numerical techniques. Research Interests His research spans Heat transfer in complex geometries Combustion and fuel systems Plasma physics applications Energy conversion technologies Environmental thermal phenomena Multiphase flow dynamics Publications Petr's recent work (2019) focuses on hybrid heat storage systems and immersed boundary methods for fixed beds, highlighting his expertise in numerical modeling of thermal processes and particle-fluid interactions. Collaborations He collaborates with researchers like Andreas Richter, Yi Ran Lu, and Shreyas-Rohit Srinivas on thermal engineering challenges.

• Numerical Partial Differential Equations
• Multiscale Modeling and Simulations
• Sparse Representation of Data
• +2 more

ZHANG Zhen is an Associate Professor at Southern University of Science and Technology (SUSTech), where he has been affiliated since 2015. His academic journey includes a Ph.D. and M.Phil. in Applied Mathematics from Hong Kong University of Science and Technology (HKUST), and a B.S. in Mathematics from the University of Science and Technology of China (USTC). Prior to joining SUSTech, he served as a Research Fellow at the National University of Singapore (2013-2015) and held teaching/research positions at HKUST. His research focuses on three interconnected domains: Numerical Partial Differential Equations , Multiscale Modeling of Moving Contact Lines in Multiphase Flow , and Sparse Representation Techniques for High-Dimensional Data . This work bridges mathematical theory with practical applications in fluid dynamics and materials science. Publication analysis reveals a consistent focus on mathematical modeling of physical processes, particularly interfacial phenomena and material purification. His articles frequently appear in applied mathematics and computational physics journals, demonstrating strong cross-disciplinary collaboration with engineers and materials scientists. Awards recognizing his contributions include: HKMS Best Thesis Award (2015) US Patent for an ultrapure phosphorus production method (2011) Guanghua Prize at USTC (2006)

• Applied Mathematics
• Optimal Control Theory
• Partial Differential Equations
• +7 more

Karl-Heinz Hoffmann is a Professor at the Research Department Mathematics Centre, Technical University of Munich. His work bridges applied mathematics, control theory, and computational physics with applications in biotechnology and engineering. Institution: Technical University of Munich Unit: Research Department Mathematics Centre Email: karl-heinz.hoffmann@mytum.de His research focuses on the mathematical modeling of physical systems governed by partial differential equations, particularly in heat transfer, cryopreservation, biosensors, and multiphase flows. He develops theoretical frameworks and numerical methods for optimal control problems involving conductive, convective, and radiative heat transfer, with emphasis on applications in biological systems such as freezing and thawing of living cells. His interdisciplinary work integrates mechanics, thermodynamics, and nanotechnology. The recent publications reveal a consistent focus on PDE-constrained optimization, radiative heat transfer models, and cryopreservation protocols. Key trends include the use of phase field models, boundary control techniques, and numerical simulation of nonlinear systems. His work often involves collaboration with experts in physics and engineering to validate models against real-world phenomena. No specific scientific awards are listed in the provided text, though the title Dr. h.c. mult. (multiple honorary doctorates) indicates significant recognition in the academic community. Prof. Hoffmann has supervised or collaborated with numerous researchers in projects related to biosensors, heat transfer, and optimal control. While no formal list of advisees is given, his leadership in multiple publications and research reports suggests an active mentoring role. He has contributed to major research initiatives, including those funded by the DFG Priority Program 1253 on Optimization with Partial Differential Equations. His research has been conducted within collaborative environments such as caesar (Center of Advanced European Studies and Research), where he contributed to projects like MAMS (Mathematical Modeling of a Biosensor) and ELOBIS (Elasto-Optical Biosensor based on Nanostructures). These efforts involved modeling wave propagation, piezoelectric effects, and fluid-structure interactions in micro- and nano-scale systems.

• Non-linear optics
• Soft matter physics
• Surface science
• +4 more

Oriane Bonhomme is an Assistant Professor at Université Claude Bernard Lyon 1 , affiliated with the Institut Lumière Matière (ILM) and its Optique Non-Linéaire Et Interfaces (ONLI) team. Her research focuses on molecular-scale analysis of soft matter systems, particularly soap films and interfaces, using advanced non-linear optical techniques like Second Harmonic Generation (SHG) and Rayleigh scattering. She leads the ANR SOLSTICE project on soap film stability and collaborates on the PROGENY FET OPEN project studying electronic soap films. Teaching : Institut Universitaire de Technologie de Lyon (Department of Mechanical and Manufacturing Engineering) Key Techniques : QM/MM polarizable embedding, SHG diagnostics, electrokinetic modeling Her work intersects non-linear optics , surface science , and soft matter physics , with recent publications analyzing surfactant behavior under electric fields, hyperpolarizability fluctuations in water, and nanoscale diagnostics of liquid interfaces. She actively recruits postdoctoral researchers for projects involving molecular-scale stability and optical probing of complex systems. Scientific Awards : ANR SOLSTICE Project funding FET OPEN Project PROGENY Contact: oriane.bonhomme@univ-lyon1.fr

Krzysztof WojtasView profile

Assistant Professor

• Chemical Engineering
• Process Intensification
• Separation Processes
• +7 more

Krzysztof Wojtas is an Assistant Professor at the Department of Separation Processes , Faculty of Chemical and Process Engineering, Warsaw University of Technology. His work bridges computational modeling and experimental validation in chemical engineering systems. Research Interests: Process intensification, turbulent mixing, precipitation dynamics, and LES/CFD applications Collaborations: Engaged in multidisciplinary projects with biologists, physicists, and industry partners Scientific Contributions: Focused on jet reactor dynamics and microwave catalytic reactors for hydrogen production. His publications demonstrate expertise in: Mathematical modeling of dispersed systems Population balance equation applications Experimental validation techniques Industrial process optimization Infrastructure: Utilizes advanced equipment like ANSYS Fluent for CFD simulations, high-shear homogenizers, and sol-gel synthesis facilities.

• Thermal Engineering
• Fluid Dynamics
• Process Equipment Design
• +2 more

Roman Dyga is a Professor at the Department of Process and Environmental Engineering, Faculty of Mechanical Engineering, Opole University of Technology. His research focuses on thermal and hydrodynamic phenomena in single- and two-phase fluid flows through specialized geometries, with particular emphasis on metal foam applications in industrial apparatus. Position: University Professor Department: Process and Environmental Engineering Email: r.dyga@po.edu.pl Research interests include: Thermal and hydrodynamic analyses of single- and two-phase flows Design optimization of industrial equipment using CFD simulations Application of open-cell metal foams in process apparatus Process safety engineering Hydrodynamic regime identification Pressure drop and void fraction modeling Recent publications demonstrate a sustained focus on metal foam applications for heat exchangers and process equipment, with interdisciplinary work involving CFD validation, multi-phase flow modeling, and catalytic support structures. His work has been consistently published in thermal engineering and fluid dynamics journals since 2001. Teaching activities include: Process equipment manufacturing technology Industrial apparatus design using CAD systems Strength of materials and structural elements Process safety protocols Contact details: Room: D-108 Phone: +48 77 449 8440 Email: r.dyga@po.edu.pl

Lee HoskingView profile

Senior Lecturer

• Geological CO₂ Storage
• Unconventional Geothermal Energy
• Theoretical and Numerical Modelling
• +4 more

Dr Lee Hosking is a Senior Lecturer in Energy Geomechanics at Brunel University's Department of Civil and Environmental Engineering within the College of Engineering, Design and Physical Sciences. He holds a PhD and MEng in Civil Engineering from Cardiff University and has been recognized with a Fellowship of the Higher Education Academy (FHEA) in 2022. Senior Tutor (Civil and Environmental Engineering) Chair of Student Experience Committee NSS Champion Digital Education Champion Lee's research focuses on numerical modelling of deep subsurface environments, particularly coupled thermal-hydraulic-mechanical (THM) phenomena, fracture network representation, and damage evolution. His work has been applied to geological CO₂ storage, unconventional geothermal energy systems, and radioactive waste disposal. Current projects funded by The Royal Society and EPSRC explore CO₂ storage injection well integrity and fluid injection-induced seismicity prediction. He teaches modules such as Energy Infrastructure Engineering, Climate Change and the Environment, and supervises PhD students in areas like coupled THM behavior of unconventional geothermal reservoirs and CO₂ injection well integrity. Lee collaborates nationally and internationally with academic and industry partners and is affiliated with the Centre for Energy Efficient and Sustainable Technologies, Two-Phase Flow and Heat Transfer, and Geotechnical and Environmental Engineering groups at Brunel. Fellowship of the Higher Education Academy (FHEA), 2022 Editorial Board Member - Deep Underground Science and Engineering Member - UK Carbon Capture and Storage Research Centre Member - British Geotechnical Association Member - International Society for Rock Mechanics and Rock Engineering

• Sedimentology
• Stratigraphy
• Reservoir Architecture
• +5 more

Allard Martinius is a Professor in Applied Geology at the Faculty of Civil Engineering and Geosciences, Delft University of Technology. His research focuses on sedimentology, stratigraphy, and reservoir architecture with applications in petroleum geology, CO2 storage, and geothermal energy. He has served on editorial boards for journals including Petroleum Geoscience and Marine and Petroleum Geology. His research interests span Sedimentology and stratigraphy of siliciclastic systems Reservoir architecture and heterogeneity Geological modeling for subsurface applications CO2 storage and geothermal energy applications Fluid flow in heterogeneous reservoirs Analysis of Martinius's recent publications reveals a strong focus on applying sedimentological and stratigraphic principles to energy transition challenges, particularly CO2 storage and geothermal energy. His work bridges fundamental geological understanding with practical engineering applications, with research spanning from the Triassic Buntsandstein formation in the Netherlands to Eocene deposits in Wyoming and CO2 storage potential in Brazil. The publications demonstrate expertise in characterizing reservoir heterogeneities across multiple scales and understanding their impact on fluid flow dynamics. Martinius has been actively engaged in editorial work, serving on the editorial boards of Petroleum Geoscience (2016-2019) and Marine and Petroleum Geology (2016). He delivered an inaugural speech titled 'Challenging Reservoirs in a Changing World' in 2018, reflecting his focus on adapting reservoir characterization approaches to address contemporary energy challenges. His work has practical applications in both traditional petroleum systems and emerging energy technologies. Media coverage in 2023 and 2018 highlights his contributions to discussions about CO2 storage solutions and geological applications for energy transition, demonstrating engagement with societal and industrial challenges beyond pure academic research.

H. HajibeygiView profile

Associate Professor

• Reservoir Engineering
• Porous Media
• Multiphase Flow
• +3 more

H. Hajibeygi is an Associate Professor in the Department of Reservoir Engineering at Delft University of Technology's School of Civil Engineering & Geosciences. His work focuses on multiscale modeling, subsurface energy storage, and computational physics applied to geological reservoirs. Education: PhD from Stanford University (2013), MSc from ETH Zürich (2011) Research interests span porous media dynamics , fractured geological formations , and geo-energy applications . He develops advanced numerical methods like finite volume and multiscale extended finite element approaches for subsurface fluid flow and mechanical coupling. Recent projects include CO₂ sequestration and hydrogen storage in saline aquifers. His 2025 publications emphasize compositional modeling , dynamic multilevel methods , and hysteresis in multiphase flow , reflecting a focus on improving computational efficiency for complex subsurface systems. Scientific Awards ETH Medal (2012) Innovative Teaching Talent (2018) InterPore Award (2021) Vidi Grant (2019) Hajibeygi leads research on subsurface energy storage and has contributed datasets on hydrogen/brine flow, hysteresis, and molecular simulations. He actively engages in public outreach, including media discussions on underground green gas storage and geothermal energy.

• Computational Mechanics
• Quantum Optics
• Photonics
• +3 more

Prof. Xiaoying Zhuang is a faculty member at the Institute of Photonics within the Faculty of Mathematics and Physics at Leibniz University Hannover . She leads research initiatives in the PhoenixD Cluster of Excellence and contributes to the QuantumFrontiers cluster. Her work spans computational mechanics, quantum optics, and machine learning applications in engineering. Research Focus : Computational modeling of material failure, flexoelectric structures, and seismic metamaterials Key Collaborations : Institute of Photonics, PhoenixD Cluster, QuantumFrontiers Recent publications highlight her contributions to data-driven engineering, phase-field fracture modeling, and quantum-enhanced material simulations. Her methodological innovations include variational damage models and machine learning-powered multiscale analysis frameworks.

Steffen DirkesView profile

Researcher

• Fuel Cell Technology
• Green Hydrogen
• Energy Systems
• +3 more

Dr. Steffen Dirkes is the Acting Group Lead for System Research at the Institute of Energy Technologies (IET), Research Center Jülich GmbH . His work focuses on electrochemical energy systems, particularly proton exchange membrane (PEM) fuel cell technologies for sustainable mobility and industrial applications. His research interests span Fuel Cell Technology Green Hydrogen Energy Systems Optimization Computational Modeling Hydrogen Mobility Sustainable Energy . He specializes in predictive maintenance, dynamic system modeling, and energy-water nexus solutions. Dr. Dirkes has contributed to 12 publications (2019–2025) on topics like DryHy project for water-positive hydrogen carriers, lifetime management frameworks for fuel cells, and adaptive energy management strategies for hybrid railway systems. His work combines advanced simulation techniques with real-world validation in transportation and heavy-duty applications.

• Computational Fluid Dynamics
• Multiphase Flow
• Heat Transfer
• +5 more

Dr. Jun Yao serves as a Senior Lecturer in Aerospace Engineering at the School of Engineering, University of the West of England (UWE Bristol), within the Department of Engineering, Design and Mathematics. His research leverages computational fluid dynamics to address industrial flow challenges across renewable energy systems, turbomachinery, and aerospace applications, with significant contributions to REF2021 impact case studies. Education: PhD MPhil MSc BEng Dr. Yao specializes in multiphase flow dynamics, heat transfer phenomena, and aerodynamic optimization. His work pioneers flow control techniques for vertical axis wind turbines (VAWTs) using Gurney flaps, investigates hydrogen combustion and fuel cell electrocatalysts, and models thermal systems for building ventilation and turbine blade cooling. Recent publications demonstrate strong interdisciplinary focus on sustainable energy solutions through advanced CFD methodologies and experimental validation. Analysis of Dr. Yao's 2020-2025 publications reveals three dominant research thrusts: (1) VAWT performance enhancement via passive flow control devices across operational regimes, (2) multiphase flow modeling in industrial processes (laser cladding, sludge discharge, heat exchangers), and (3) turbulence simulation techniques for aerodynamic prediction. His work consistently bridges fundamental fluid dynamics with practical energy applications. Scientific Awards: Fellow of the Higher Education Academy (FHEA) Dr. Yao leads collaborations with Mitsubishi Electric R&D Centre (MERCE-UK) on hydrogen combustion and turbomachinery projects. His teaching portfolio spans Thermofluids, Fluid Mechanics, CFD, Sustainable Energy, Aerodynamics, and Aero-propulsion courses, integrating cutting-edge research into curriculum development for aerospace engineering students. His research group maintains experimental facilities for laser diagnostics in multiphase flows and computational resources for high-fidelity CFD simulations, supporting innovations in wind energy harvesting, thermal management systems, and clean combustion technologies through industry-academia partnerships.

Armin K. SilaenView profile

Academic

• Mechanical Engineering
• Ironmaking
• Steelmaking
• +3 more

Armin K. Silaen is a Research Associate Professor at Purdue University Northwest, affiliated with the Center for Innovation through Visualization and Simulation (CIVS) and holds a courtesy appointment as Associate Professor of Mechanical Engineering. His research focuses on multiphase reacting flow simulations, particularly in iron and steelmaking processes, with a specialization in continuous casting modeling at the Steel Manufacturing Simulation and Visualization Consortium (SMSVC). Education: Ph.D. in Mechanical Engineering from the University of New Orleans (2010). His applied research targets energy efficiency improvements, waste reduction, carbon emission mitigation, and process stability in industrial settings. Key publication trends include computational modeling of metallurgical processes, fluid dynamics in continuous casting, and sustainable energy applications in steel manufacturing. He contributes to engineering through simulation-based solutions for industrial sustainability, emphasizing the role of engineers in creating a safer and more eco-friendly world via technological innovation.

• Multiphase Flow
• Computational Fluid Dynamics
• Numerical Methods
• +4 more

Dr Jie Li is an Associate Professor in the Department of Engineering at the University of Cambridge, specializing in computational fluid dynamics and numerical methods for multiphase flows. Expertise in interface tracking methods (e.g., Volume of Fluid) and adaptive mesh techniques Research applications include inkjet printing, cavitation, and droplet combustion His work focuses on modeling complex interfacial phenomena such as viscoelasticity, surface tension, surfactant dynamics, contact lines, triplet points, rarefied gas behavior, droplet collisions, and solid-wall impacts. Publications demonstrate extensive use of arbitrary Lagrangian-Eulerian (ALE) methods, finite element schemes, and smoothed surface stress approaches for simulating moving boundary problems in fluid mechanics.