Weimin Ma is a Professor in Nuclear Power Safety at the Department of Physics at KTH Royal Institute of Technology, and Deputy Head of the Division of Nuclear Science and Engineering. His work focuses on nuclear safety across existing and future reactor designs, addressing challenges in accident prevention and mitigation. Research Interests: Nuclear power safety, multiphase/multi-physics accident analysis, severe accident management, reactor pressure vessel integrity under core melt attack, and safety of advanced reactor technologies like lead-cooled fast reactors (LFRs) and small modular reactors (SMRs). His group develops experimental methods (e.g., simulant melt studies) and computational tools (e.g., MELCOR coupling) to improve accident modeling and risk assessment. Key Research Areas: Melt coolant interactions, steam explosions, debris bed coolability, thermal-hydraulic phenomena, and best-estimate plus uncertainty (BEPU) methods. Recent studies include turbulence modeling in melt pools, surrogate models for safety analysis, and experimental validation of severe accident scenarios. Publications highlight contributions to understanding core meltdown accidents, coolant interaction dynamics, and safety analyses for both current and next-generation reactors. Collaborations include international projects like OECD/ROSAU and SARNET networks. Teaching: Courses on nuclear safety, thermal-hydraulics, and sustainable energy engineering, emphasizing practical skills through compact reactor simulators and project-based learning.
Christophe Duwig is a Professor at the Department of Chemical Engineering, KTH Royal Institute of Technology. He serves as Vice-Director of the KTH Energy Platform and coordinates strategic initiatives like the KTH Nuclear Next and Battery Initiative. His research focuses on process simulation, fluid mechanics, heat transfer, and clean energy technologies. He leads projects addressing carbon capture, renewable heat systems, and clean air solutions through collaborations with institutions like Stockholm University and RISE Research Institutes of Sweden. Research Interests: His work integrates high-fidelity computational fluid dynamics (CFD), including LES and CFD simulations of reacting flows, with advanced post-processing tools like machine learning and proper orthogonal decomposition. Key areas include CO2 capture, hydrogen combustion optimization, and waste heat recovery. He emphasizes translating research into practical solutions for decarbonization and clean air through initiatives like C3Air®. Publications: Recent articles highlight innovations in CO2 capture efficiency, hydrogen-fueled combustion dynamics, and heat transfer optimization in electronic cooling systems. His work often bridges fundamental fluid mechanics with industrial applications, addressing global challenges in energy sustainability and climate action. Grants & Leadership: Coordinates multi-disciplinary research efforts under SDG 7 (Clean Energy) and SDG 13 (Climate Action). Leads teams in projects such as C3Air® and the KTH Climate Action Centre, fostering international collaborations to tackle air pollution and carbon removal. Supervises PhD and MSc students in computational engineering and sustainable technologies. Labs & Teams: Active in the Division of Process Technology and KTH’s Energy and Environmental initiatives. His lab develops novel heat exchangers, combustion models, and smart energy management systems for buildings and industrial processes.
Adrian Florin Radu is a Professor in the Department of Mathematics at the University of Bergen, Norway. His research focuses on numerical analysis, applied mathematics, and computational methods for porous media systems, with particular emphasis on flow, transport, and coupled processes in complex environments. He has contributed to iterative schemes, upscaling techniques, and error estimation in multiphysics models. Key research areas include porous media flow, reactive transport, poromechanics, and numerical methods for coupled systems. His work addresses challenges in geosciences, environmental engineering, and mechanical systems through advanced mathematical modeling and simulation. Notable contributions include iterative coupling strategies for poroelasticity, adaptive time-stepping methods, and global random walk solvers for biodegradation processes. Radu's publications span topics such as dynamic capillary effects, fracture network modeling, and error analysis in wave equations. He has been involved in projects funded by the Research Council of Norway, including the FRACFLOW initiative. His research bridges theoretical developments with practical applications in environmental and energy systems.
Adil Rasheed is a Professor in the Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology and Electrical Engineering. His research focuses on digital twin technology, artificial intelligence (AI), machine learning (ML), physics-based modeling, and hybrid analysis methodologies. He leads projects such as the work package on Digital Twin and Asset Management, collaborating with major industry partners to advance digital twin capabilities. His interdisciplinary work bridges AI-driven approaches with traditional physics-based models for applications in wind energy, autonomous vessels, smart greenhouses, and aquaculture. Notable contributions include developing a VR-enabled smart greenhouse digital twin and the PoroTwin framework for porous media flow analysis. His recent publications span topics like safe marine navigation using reinforcement learning, federated learning for industrial IoT anomaly detection, and predictive maintenance in offshore wind turbines. Rasheed actively engages in academic outreach and serves as an advisor to research initiatives in hybrid modeling and autonomous systems. Research Interests Creation and application of digital twins for physical systems optimization Integration of AI/ML with physics-based models for hybrid systems Autonomous systems navigation and safety (vessels, drones) Wind energy systems and offshore renewable energy Condition monitoring and predictive maintenance Data-driven solutions for aquaculture and urban mobility challenges Key Projects Smart Greenhouse: AI-driven digital twin for autonomous plant growth monitoring via VR PoroTwin: Digital twin for porous media flow analysis in oil and gas Hybrid Analysis and Modeling (HAM) framework combining knowledge-based and data-driven methods NorthWind Project: Digital twin advancements for wind energy systems Publications Trends Rasheed's recent work emphasizes digital twin applications in energy systems (wind turbines), autonomous maritime navigation, and industrial IoT security. He explores federated learning techniques for decentralized anomaly detection and integrates reinforcement learning for safety-critical control systems. Collaborations with industry partners highlight practical implementations in offshore infrastructure, aquaculture, and urban mobility. Grants & Partnerships Active collaborations with industry leaders in renewable energy, maritime robotics, and smart agriculture ensure his research addresses real-world challenges. His work is supported by interdisciplinary projects combining academia-industry expertise. Labs & Teams Leads the Digital Twin and Asset Management team at NTNU, coordinating with research groups in computational engineering, autonomous systems, and renewable energy technology.
Sharath S. Girimaji is a Professor of Aerospace Engineering and Mechanical Engineering and currently serves as the Department Head of Ocean Engineering at Texas A&M University. He holds the Wofford Cain Chair II and serves as Chief Scientist at the ASTRO Center. His research focuses on turbulence modeling, computational fluid dynamics, and high-speed flows. Girimaji earned his Ph.D. from Cornell University in 1990, following degrees from Cornell (M.S., 1986) and the Indian Institute of Technology Madras (B.Tech., 1983). Education: Ph.D., Cornell University, 1990 M.S., Cornell University, 1986 B.Tech., Indian Institute of Technology Madras, 1983 Research Interests: Dr. Girimaji specializes in turbulence closure modeling, scale-resolving simulations (e.g., PANS), and computational methods for compressible and multiphase flows. His work addresses challenges in high-speed aerodynamics, combustion, and magnetohydrodynamics. Recent efforts include data-driven approaches for turbulence modeling and applications in renewable energy systems like wave energy converters. Awards & Recognition: 2010: Texas Engineering Experiment Station Fellow 2007: Dow Chemical Fellow 2006: Brockett Professor & TEES Fellow 2001: TEES Special Research Fellow Grants & Advising: His research is supported by grants from agencies including the U.S. Department of Energy and the Office of Naval Research. He has advised numerous graduate students and collaborates with industry and academic partners on advanced fluid dynamics projects. Labs & Teams: He leads the ASTRO Center and collaborates with interdisciplinary teams in the Texas A&M College of Engineering, focusing on innovative solutions for fluid mechanics challenges in energy and aerospace systems.
Dr. Alessio Alexiadis is a Reader in Chemical Engineering at the University of Birmingham, specializing in mathematical modeling and physics-informed machine learning. He holds a PhD from Politecnico di Torino (2001) and has held academic positions across 11 institutions in 8 countries. His research focuses on particle methods (MD/DEM/SPH), multiphase flows, and interdisciplinary applications in materials science, biomedical engineering, and environmental modeling. Education: PhD in Chemical Engineering, Politecnico di Torino, 2001 BSc in Chemical Engineering, 1998 Research Interests: Development of Discrete Multiphysics frameworks for complex systems AI-driven simulations and physics-informed machine learning Modeling fluid-structure interactions, colloids, and biophysical systems Applications in energy storage, climate modeling, and biomedical devices Grants & Funding: EPSRC CDT in Formulation Engineering (PI, £multi-million) Leverhulme Trust (PI, 2019–2023) US Office of Naval Research (PI, 2018–2022) Awards & Editorial Roles: Marie Curie Fellowship (2008) Editorial Board member: PLOS ONE, Scientific Reports (Nature), and ChemEngineering Labs & Collaborations: Modelling Concepts and Tools (MCT) group at Birmingham International collaborations spanning 4 continents
Dr. Anna Żyłka is a researcher at the Department of Advanced Computational Methods, Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, Poland. Her work focuses on fluidization, chemical looping combustion, and computational modeling of thermal processes. Fluidization techniques in energy systems Process simulation for emission reduction Reaction kinetics in combustion Her recent publications highlight advancements in CFD-DEM coupling for fluidized beds, CO2 capture optimization , and eco-friendly desalination systems . Collaborative efforts with co-authors like Jaroslaw Krzywanski and Karolina Grabowska underscore her interdisciplinary approach.
Arris Tijsseling is an Associate Professor at Eindhoven University of Technology (TU/e), affiliated with the Department of Mathematics and Computer Science. His research focuses on fluid transients, computational fluid dynamics, and multiphase flow modeling with applications in pipeline systems. He has contributed to advanced numerical methods like smoothed particle hydrodynamics (SPH) and fluid-structure interaction (FSI) analysis. Notable work includes Lagrangian particle models for transient pipe flows and studies on manhole cover dynamics. His teaching responsibilities include courses on computational science and calculus. Key research themes involve transient flow analysis in pipelines with moving boundaries, cavitation effects in pumps, and structural responses under fluid-induced loads. His work bridges theoretical fluid dynamics with experimental validation, as seen in large-scale pipeline filling/emptying experiments. Collaborative efforts span international teams, addressing challenges in pipeline safety and computational efficiency. Publications highlight innovations in SPH for multiphase flows, hybrid numerical schemes for transient flows, and historical contributions to fluid mechanics. His research often emphasizes practical engineering applications, such as improving pump models and understanding wavefront behavior in fluid systems.
Bart van Esch is an Associate Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), specializing in thermal and fluid engineering, energy conversion, and hydraulic turbomachinery. He leads the Power & Flow section and the Group Van Esch, focusing on CFD and industrial applications such as optimizing pumping station energy efficiency and minimizing fish mortality in pumps. He holds a part-time professorship at Jiangsu University, China, since 2017. His academic background includes an MSc in Astronomy (Leiden University, 1990), a Master of Technological Design in Computational Mechanics (Twente University, 1992), and a PhD in Mechanical Engineering (Twente University, 1997). He joined TU/e as an Assistant Professor in 1997, advancing to his current role. Research collaborations include Jiangsu University and Bosman Watermanagement, where he designs fish-friendly pumps. His work bridges disciplines like fluid mechanics, biology, and control systems to innovate in hydraulic machinery. He received the Best Teacher of the Year 2017 award. Editorial roles include Advisory Board Member of Experimental Thermal and Fluid Science and Associate Editor of the ASME Journal of Fluids Engineering (2012–2018). Current educational activities span courses like Engineering Design, Thermal and Fluid Engineering, and Honors Program modules. His research emphasizes sustainable energy solutions and eco-friendly engineering practices.
Katarina Gustavsson is an Associate Professor at KTH Royal Institute of Technology, affiliated with the Department of Numerical Analysis, Optimization and Systems. She serves as the Head of Studies (Huvudstudierektor) for the Department of Mathematics and teaches courses such as the Basic Course in Numerical Methods (SF1525) and Numerical Methods, Basic Course (SF1547). Her research focuses on computational fluid dynamics, multiphase flow, and boundary treatment techniques in numerical simulations. Her work includes developing numerical methods for rigid fiber suspensions, sedimentation analysis, and contact line dynamics. Key contributions involve high-accuracy boundary treatments for Stokes flow and conservative level set methods for interface dynamics. She has authored over 20 peer-reviewed articles and conference papers since 2000. Dr. Gustavsson’s research interests span fluid-structure interaction, fiber orientation dynamics, and the numerical modeling of complex multiphase systems. Her publications address challenges in Stokes flow simulations, sedimentation processes, and the consolidation of concentrated suspensions.
Zhenquan (Jan) Li is a Senior Lecturer in Mathematics at Charles Sturt University's Computing, Mathematics and Engineering School, affiliated with the Gulbali Research Institute and Data Mining Research Group (DaMRG). His expertise spans computational fluid dynamics, adaptive mesh refinement methods, and mathematical modeling. He holds a PhD in Modelling Shallow Turbulent Fluid Dynamics from the University of Southern Queensland (1996–1999) and a BSc in Mathematics from Hebei University (1978–1982). Dr. Li's research focuses on developing adaptive mesh refinement techniques for fluid flow simulations, validated through benchmarks like lid-driven cavity flows and square cylinder flows. His work emphasizes accuracy, efficiency, and applications to real-world scenarios, such as precipitation modeling and epidemiological studies. He has held academic positions at the University of the South Pacific and Hebei University, including roles as Associate Professor and Lecturer. He is an active member of professional societies, including SIAM, the Australian Mathematical Society, and ASTFE. His 2024 Excellence Award recognizes contributions to Digital Health and computational research. His teaching includes courses like Data Analysis for Business and Foundation Mathematics. Research collaborations span fluid dynamics, geostatistical analysis, and epidemiological modeling. Grants and supervised projects include the Murray Darling Basin PIT data analysis. His labs and teams are part of interdisciplinary groups at the Gulbali Research Institute.
Dr. Marco Bernagozzi is a Lecturer in Electric Vehicles at the Advanced Engineering Centre, School of Architecture, Technology and Engineering, University of Brighton. His research focuses on smart thermal management systems for electric vehicles, space applications, and sustainable energy systems. He specializes in loop heat pipes (LHPs) and pulsating heat pipes (PHPs) for efficient thermal control in batteries, power electronics, and spacecraft. Education: PhD in Thermal Management of Electric Vehicles, University of Brighton (2019–2022) MSc in Aerospace Engineering, University of Padova, Italy (2013–2016) BSc in Aerospace Engineering, University of Padova, Italy (2009–2013) His research interests include thermal management in electric vehicles, design and optimization of loop and pulsating heat pipes, integration of smart thermal control systems, and thermal systems for space applications. He also explores hybrid thermal systems for sustainability and lifecycle analysis. His recent work emphasizes reducing energy waste in HVAC through personal comfort systems and sustainable energy storage using molten salts and liquid air. The analysis of his recent publications reveals a strong focus on advancing passive and active thermal management technologies. His work spans electric vehicles, aerospace, and renewable energy, with recurring themes in heat pipe performance, thermal efficiency, and sustainability. He frequently employs experimental and computational methods to optimize thermal systems under real-world and extreme conditions. Scientific Awards: Best Oral Presentation Award at the Joint 21st International Heat Pipe Conference and 15th International Heat Pipe Symposium, Melbourne, Australia Advising and Grants: Dr. Bernagozzi is open to supervising students in thermal management for electric vehicles and space applications. He is actively involved in research projects such as GELL-P, which investigates gravitational effects on blood flow, funded by research councils. His work is supported by collaborations with industry partners including Ricardo, Tata Motors, ESA, and Highview Power. He contributes to peer review for leading journals such as Applied Thermal Engineering , International Journal of Thermal Sciences , and Renewable Energy . Labs and Teams: Dr. Bernagozzi is a core member of the Advanced Engineering Centre at the University of Brighton, where he conducts experimental and computational research on thermal systems. He collaborates with interdisciplinary teams on projects involving aerospace, automotive, and biomedical engineering, including the GELL-P project on space physiology.
Dr. Jack Panter is a Lecturer in Fluid Dynamics at the University of East Anglia (UEA), affiliated with the School of Engineering, Mathematics and Physics. He is a member of the Fluids & Structures research group and co-manages the Thermofluids Research Laboratory with Dr. Stefano Landini. His research integrates computational and experimental approaches to study multiphase fluid systems, with applications in sustainability, thermal management, and energy storage. Education: PhD in Physics, Durham University (awarded 2020) MSci in Physics and Chemistry, Durham University (2015, First Class) Dr. Panter's research centers on fundamental interfacial and wetting phenomena, with a strong emphasis on computational modeling. He develops and applies phase-field models, the Binary Image Transition State Search (BITSS) algorithm, and the Lattice Boltzmann method to study fluid equilibria, transitions, and dynamics. His work extends into soft matter, including elastic buckling, bio-elasticity, and colloidal organization. Applications include optimizing super-liquid-repellent surfaces with Procter & Gamble and simulating capillary rise for carbon capture technologies with ExxonMobil. His recent publications focus on thermal management of lithium-ion batteries using phase-change materials, hybrid immersion cooling strategies for electric vehicles, and computational simulations of wetting and capillary phenomena. These works reflect a strong trend toward sustainable engineering solutions, energy efficiency, and advanced computational fluid dynamics. Scientific Awards: No awards explicitly mentioned. Dr. Panter is actively involved in research funding and advising. He leads a Royal Society-funded project on capillary coupling and collaborates on a knowledge exchange project on low-cost thermal energy storage. He advises on computational methods and contributes to interdisciplinary research in thermal systems and fluid dynamics. His lab, the Thermofluids Research Laboratory, is equipped with advanced experimental facilities for thermal characterization, battery testing, 3D printing, and capillary force measurement, enabling both fundamental and applied research. Research Group: Thermofluids Research Laboratory – focused on phase-change phenomena, thermal management of electronics and batteries, and thermal energy storage. The lab supports projects in solid-liquid phase change materials, hybrid composites, microstructure design, and capillary phenomena.
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.
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.
