Jack King is a Royal Society University Research Fellow at the University of Manchester's School of Engineering, specializing in Mechanical and Aerospace Engineering. He holds a PhD from the University of Edinburgh and a Bachelor's in Engineering from the University of Cambridge. His research focuses on developing novel numerical methods for complex fluid flows, particularly combustion simulations for clean energy technologies. Key areas include high-order/mesh-free methods (e.g., LABFM/SPH), free surface flows, reacting flows, fluid instabilities, and non-Newtonian fluids. He has been awarded the Dame Kathleen Ollerenshaw Fellowship (2022) and the Royal Society University Research Fellowship (2023). His work spans collaborations in fluid dynamics, with publications addressing viscoelastic flows, breaking waves, and high-order simulations. He is part of the Fluids Research Group, actively involved in projects on turbulent flows and computational fluid dynamics.
Catherine Lindsay Anderson is Professor and Chair of the Department of Biological & Environmental Engineering at Cornell University's College of Agriculture and Life Sciences. She serves as interim Director of the Cornell Energy Systems Institute and was previously the Kathy Dwyer Marble and Curt Marble Faculty Director for Energy with the Cornell Atkinson Center for Sustainability. Dr. Anderson also holds the position of House Professor Dean at William Keeton House. Her educational background includes a B.Sc.(Engineering) and M.S. in Environmental Engineering from University of Guelph (Canada) and a Ph.D. in Applied Mathematics from the University of Western Ontario (Canada). Dr. Anderson's research focuses on energy system decarbonization at the interface of environmental and systems engineering, electric power systems, applied optimization and decision science. Her work investigates operational methods for more effective integration of renewable energy technologies, addressing the complex interactions among energy, food and water systems. The lab takes an interdisciplinary approach, combining engineering, economics and mathematics to understand the interactive forces of systems and markets. Current research areas include analysis of grid transitions, climate impacts on power system reliability, and scalable optimization for decision making under uncertainty. Her recent publications demonstrate a strong focus on energy system vulnerabilities in zero-emission grids, identification of pressure points in modern power systems, and rethinking electricity access metrics with a focus on energy justice, particularly in Latin America. Her work spans technical power systems analysis, climate impacts on grid reliability, and socio-technical aspects of energy transitions. 2021 Energy Systems Integration Group (ESIG) Award of Excellence for Contributions to Energy Systems Optimization IEEE Senior Member Grade (since 2019) 2016 College of Engineering Award for Research Excellence, Cornell University 2015 NSF CAREER Award 2012 Norman R. Scott Sesquicentennial Faculty Fellowship in Energy Systems Engineering 2010 College of Engineering Excellence in Teaching Award Dr. Anderson has advised numerous graduate students who have gone on to prestigious positions, including Assistant Professors at University of Connecticut, Pitzer College, and Texas A&M University, as well as research scientists at the National Renewable Energy Laboratory. Her lab team is committed to impactful research while fostering an inclusive and equitable environment. Current research includes USDA-funded work on agricultural-to-energy transitions in New York State, examining the nexus of energy, water, and climate.
Andrea Giusti is a Senior Lecturer in Thermofluids at the Department of Mechanical Engineering, Imperial College London. His research focuses on multi-physics reacting flows, integrating electromagnetic interactions and nanomaterials to enhance sustainability in energy, transportation, and aerospace sectors. He leads a research group developing numerical methods for multi-scale analysis, including molecular dynamics and quantum mechanics, alongside climate resilience models for wildfire risk assessment using data-assimilation techniques. Giusti holds editorial and committee roles, including Editor-in-Chief of the International Journal of Spray and Combustion Dynamics , Committee Member of the British Section of the Combustion Institute (CIBS), and Bye-Fellow at Fitzwilliam College, Cambridge. His research interests span thermofluids engineering, combustion dynamics, and interdisciplinary applications in physical chemistry and aerospace engineering. Recent publications emphasize electrostatic field control of droplet trajectories, reactive molecular dynamics modeling of hydrocarbon combustion, and hybrid frameworks for wildfire propagation. His work bridges computational modeling with experimental validation, addressing challenges in low-emission combustion systems and nanotechnology-driven energy solutions. Awards: No scientific awards explicitly mentioned. Grants/Advising: Details not provided in the text. Labs/Teams: Leads a multi-physics reacting flows research group at Imperial College.
Dr. Nicola Browne is a Senior Lecturer in Marine Ecology at the School of the Environment, University of Queensland. Her research focuses on marginal reef systems, sediment dynamics, and climate change impacts on coral communities. She investigates geomorphological processes, turbidity gradients, and reef resilience using field-based techniques and remote sensing data. Her work spans Australian coral reefs, Malaysian Borneo, and the Indian Ocean, examining carbonate budgets, bioerosion rates, and coral-algal phase shifts. Dr. Browne collaborates extensively on multi-institutional projects addressing coastal management and living shoreline opportunities. Her research interests include developing predictive models for reef stability under climate change, understanding sediment flux in turbid environments, and documenting coral adaptations to extreme conditions. She utilizes MODIS satellite data, sediment budgeting, and geochemical proxies to reconstruct environmental histories and forecast ecosystem responses.
Prof Bryan Webber is a Professor at the Department of Physics, University of Cambridge, associated with the Cavendish Laboratory. His research focuses on high-energy physics, particle theory, and computational methods in physics. Specializes in QCD, Monte Carlo event generators, dark matter spectra, and collider phenomenology. Key research areas include: Monte Carlo simulation techniques for particle detectors Parton shower algorithms and QCD evolution Dark matter production mechanisms Polarization effects in parton distributions Electroweak instanton processes Recent work emphasizes precision calculations for LHC physics, including Higgs boson production, top quark asymmetry, and black hole signatures at colliders. His contributions include the Herwig++ event generator and the MC@NLO framework. Active in international collaborations like the European Strategy for Particle Physics. Publications span over 30 years, with a focus on theoretical precision tools for experimental particle physics. No awards explicitly listed in the provided texts, though his academic role indicates significant recognition in the field. Advising and grants details not explicitly detailed, but his research activities suggest involvement in major particle physics initiatives. Laboratory affiliations include the Cavendish Laboratory, a world-leading center for experimental and theoretical physics research.
Manuel Torrilhon serves as Professor and head of the Research Lab for Applied and Computational Mathematics (ACoM) at RWTH Aachen University, where he has held a full professorship since 2010. He currently leads the Department of Mathematics as its elected Speaker for the 2024-2026 term, overseeing academic strategy and research initiatives within the Faculty of Mathematics, Computer Science and Natural Sciences. His academic foundation includes: Diplom-Ingenieur in Engineering Physics from TU Berlin (1994-1999) PhD in Applied Mathematics from ETH Zurich (2004) Postdoctoral research at HKUST (2004/05) and Princeton University (2005/06) Research Assistant Professor at ETH Zurich (2007-2010) Professor Torrilhon's research pioneers mathematical modeling in continuum physics and kinetic gas theory , with seminal contributions to the Boltzmann equation, rarefied gas dynamics, and magnetohydrodynamics. His work develops advanced numerical methods for nonlinear hyperbolic systems , particularly entropy-stable high-order schemes and multi-scale time integrators. The ACoM lab under his direction bridges theoretical mathematics with engineering applications through computational frameworks like fenicsR13 for moment equation solvers. His methodologies enable high-fidelity simulations of micro-flows, plasma instabilities, and electron transport phenomena critical to aerospace and materials science. Analysis of his 2025-2024 publications reveals dominant trends in entropy-conservative numerical schemes for kinetic equations, multirate time integration for stiff systems, and moment-method extensions to polytropic gases and shallow flows. These works consistently address computational challenges in rarefaction effects, non-equilibrium thermodynamics, and high-enthalpy regimes, demonstrating cross-cutting applications from microfluidics to plasma physics. Scientific recognition includes: EURYI Award (Pre-ERC) from European Science Foundation (2006) As director of ACoM, Professor Torrilhon secures research funding for computational mathematics projects and mentors graduate students in numerical analysis and kinetic theory. His lab maintains strong collaborations with engineering departments for applied validation of mathematical models, particularly in micro-flow devices and plasma containment systems. Current grants focus on adaptive solvers for multi-scale kinetic problems and inverse methods for electron probe microanalysis. The Research Lab for Applied and Computational Mathematics (ACoM) operates as an interdisciplinary hub developing open-source computational tools like fenicsR13. The team specializes in tensor-based numerical methods for moment equations, with ongoing projects in X-ray emission modeling, Richtmyer-Meshkov instability simulations, and thermodynamically consistent electrolyte solvers. ACoM maintains strategic partnerships with aerospace research institutes for hypersonic flow validation and with materials science centers for nanoscale transport studies.
James Percival is a Senior Teaching Fellow in the Department of Earth Science & Engineering at Imperial College London, part of the Faculty of Engineering. His research focuses on computational methods for fluid dynamics, environmental engineering, and porous media flow. He is affiliated with the Applied Modelling and Computation Group and the Novel Reservoir Modelling and Simulation (NORMS) initiative. His work emphasizes numerical simulations using advanced techniques like discontinuous Galerkin methods and adaptive unstructured meshes. Key research areas include hydro-morphodynamics, multiphase flow modeling, and reservoir engineering. His publications highlight contributions to fluid dynamics, atmospheric modeling (e.g., ATHAM-Fluidity), and environmental applications such as pipeline scour analysis. Percival’s methodologies prioritize high-resolution simulations and mesh optimization for complex geophysical and industrial challenges. His articles reflect a trend toward integrating computational efficiency with accuracy in modeling phenomena like viscous fingering, interfacial flows, and extreme weather events. Despite significant contributions, no awards or grants are explicitly noted in the provided texts.
Dr. Pablo Brito Parada is a Professor in Sustainable Minerals Processing at Imperial College London's Department of Earth Science & Engineering, part of the Faculty of Engineering. He leads the Advanced Mineral Processing Research Group and is affiliated with the Energy Futures Lab, Grantham Institute, and Applied Modelling and Computation Group. His research focuses on mineral resources sustainability, integrating computational modeling (e.g., PEPT, CFD) with industrial collaboration to address challenges in froth flotation, resource management, and the material-energy nexus. Key research areas include: Optimization of flotation processes using novel experimental techniques and numerical models Development of frameworks for sustainable mineral resource management Material flow analysis for policy-informed decision-making Hydrodynamics of multiphase systems and equipment design Risk assessment in mining rehabilitation and supply chain management He has led major projects such as the EU-funded FineFuture (enhancing fine particle flotation) and PRODIAS (industrial biotechnology cost reduction). His work emphasizes low-impact processing solutions, including water/energy efficiency and modular mining technologies. Recent studies include AI-driven remote sensing applications for coastal analysis and Bayesian approaches for material flow modeling. Awards and recognitions are not explicitly listed in the provided text. His research outputs span over 100 publications, with recent emphasis on computational methods, decision support systems, and sustainable resource strategies. Collaboration with industry partners ensures practical implementation of his innovations.
Nathaniel Morgan serves as an Adjunct Professor affiliated with a Mechanical Engineering department. He is currently a researcher at Los Alamos National Laboratory's X-Computational Physics Division, where he has worked since 2010. His career at LANL spans multiple divisions including Applied Physics (2005-2010), Theoretical Division (2003), and Engineering Sciences and Applications Division (2001-2002). Dr. Morgan received his academic training in Mechanical Engineering: Ph.D., Mechanical Engineering, Georgia Institute of Technology, 2005 M.S., Mechanical Engineering, Georgia Institute of Technology, 2003 B.S., Mechanical Engineering, University of Arizona, 2000 His research focuses on computational physics and engineering, specializing in developing advanced numerical methods for simulating complex physical phenomena. Dr. Morgan's work centers on creating transformative numerical approaches suitable for predictive simulations of multidimensional high-speed flows with shocks, contact discontinuities, disparate materials, complex strength models, and diverse equations of state. He has made significant contributions to high-order discontinuous Galerkin methods for simulating large deformation flows and developing explicit gas and solid dynamics codes optimized for heterogeneous supercomputing architectures including GPUs. Analysis of Dr. Morgan's recent publications reveals a strong focus on Lagrangian hydrodynamic methods, particularly discontinuous Galerkin approaches. His work spans computational physics, fluid dynamics, and high-performance computing, with applications in gas and solid dynamics. Key themes include mesh motion stability, multi-material flow simulation, and optimization of numerical methods for modern supercomputing architectures. His research demonstrates a consistent trajectory toward higher-order, more accurate simulation methods for complex physical systems. Dr. Morgan collaborates extensively with researchers at Los Alamos National Laboratory and likely supervises graduate students through his adjunct professorship, though specific advisees are not listed in the available information. His work appears to be supported by LANL resources and potentially external grants related to computational physics and high-performance computing. As a member of LANL's X-Computational Physics Division, Dr. Morgan contributes to advanced computational research teams focusing on hydrodynamics, material science simulations, and high-performance computing applications. His work supports LANL's mission in computational physics and national security-related research.
Tyler McMillen is a Professor in the Department of Mathematics at California State University, Fullerton. He holds a PhD from the University of Arizona, an MS from Utah State University, and a BA from the University of Utah. His research focuses on applying dynamical systems and differential equations to biological problems, including anguilliform swimming mechanics, decision-making processes, and whip dynamics. He also explores purely mathematical areas like spectral theory and matrix analysis. Education: PhD, University of Arizona MS, Utah State University BA, University of Utah Research Interests: Mathematical Biology: Modeling fish locomotion and neuromechanical systems Spectral Theory: Asymptotics of matrices and operators Decision-Making: Hebbian learning and multi-alternative models Fluid Dynamics: ABC flows and wave propagation His recent work emphasizes spectral asymptotics for matrices, nonlinear muscle modeling in swimming, and the interplay between signal acuity and decision-making. Articles consistently bridge pure mathematics with applied problems in biology and physics. No awards are listed, though his publications reflect sustained academic engagement. He advises no listed students and has no grants explicitly mentioned. His research is conducted within the Department of Mathematics, with collaborations noted in biomechanics and mathematical physics.
Haley Yaple serves as Chair of the Mathematics Department and Associate Professor of Mathematics at Carthage College. She holds a Ph.D. in applied mathematics from Northwestern University, where her research focused on modeling religious shift and ferromagnetism using differential equations. Her undergraduate degrees in mathematics and mechanical engineering from Trinity College reflect her dual interests in technical fields and liberal arts. Yaple’s work bridges social dynamics, physics, and engineering through mathematical frameworks. Education: Ph.D. Applied Mathematics (Northwestern University), B.S. Mathematics & Mechanical Engineering (Trinity College) Her research interests span applied mathematics, social dynamics, and interdisciplinary modeling. Notable projects include studying religious non-affiliation trends and ferromagnetic material behavior using analogous mathematical approaches. She also explores fluid dynamics in industrial contexts and biological systems like Physarum polycephalum. Publications highlight her multidisciplinary approach, analyzing both social systems and physical phenomena through mathematical lenses. Her work demonstrates how similar equations can model diverse phenomena, from cultural shifts to material science challenges. Outside academia, Yaple engages in music, dance, curling, and collecting vintage mathematics texts. No specific awards or grants are listed in the provided materials.
Prof. Dr. Hildegard Meyer-Ortmanns is an Adjunct Professor of Physics at the School of Science, Constructor University, Bremen, Germany. Her research focuses on theoretical physics, complex systems, and nonlinear dynamics, with applications in biology, cognitive processes, and energy systems. She holds a PhD in Physics from the University of Hamburg (1983) and a Habilitation from the University of Heidelberg (1993). Previously, she was a Full Professor at Jacobs University Bremen (2002–2020) and held positions at institutions including CERN and the Max-Planck Institute. Research Interests: Statistical Physics Out-of-Equilibrium and Nonlinear Dynamics Role of Topology in Biological and Cognitive Systems Resilient Design of Power Grids Evolutionary Game Theory and Multi-Scale Dynamics Funded Projects: DFG-grant ME-1332/30-1: Topological phases in nonlinear oscillatory systems BMBF Project CoNDyNet 2: Decentralized power grid dynamics DFG-grant ME-1332/28-2: Coupled heteroclinic networks Her work bridges physics, biology, and engineering, emphasizing interdisciplinary approaches. Recent articles explore heteroclinic networks in brain dynamics, power grid stability, and stochastic processes in ecosystems. She actively organizes international conferences and workshops on complexity science and energy systems.
Prof. Dr.-Ing. Ralph Lindken is a Professor of Fluid Mechanics and Turbomachinery at Bochum University of Applied Sciences' Department of Mechatronics and Mechanical Engineering. His interdisciplinary research focuses on laser-optical measurement techniques (e.g., PIV), microfluidics, and geothermal drilling processes. He leads projects like SolarCool (photovoltaic cooling systems) and ROWDY (waterjet drilling optimization). Lindken holds a diploma in mechanical engineering from Ruhr University Bochum and conducted postdoctoral research at Delft University of Technology. He is actively involved in academic governance, serving on the Senate Research Commission and coordinating the Mechanical Engineering Network Association of German Engineers (VDI). His work bridges fundamental fluid mechanics with industrial applications, including renewable energy systems and advanced drilling technologies. Research Interests: Development of advanced PIV techniques for complex flows High-pressure jetting for geothermal drilling Evaporative cooling for photovoltaic efficiency Microfluidic interfacial dynamics Flow measurement in turbine systems Projects: FLOWPREDICT: vibration-based flow analysis for predictive maintenance KOENIG: multiscale wave-laboratory for fluid-sound interaction studies DOMINGO: automation of next-gen drilling processes Collaborations: International Geothermal Center GZB, TU Delft, and industry partners in renewable energy and fluid mechanics.
Dr. Yousef Faraj is a Senior Lecturer at the University of Chester, affiliated with the Faculty of Science, Business and Enterprise. His research spans interdisciplinary fields including materials science, environmental engineering, and nanotechnology, with a focus on advanced materials for energy-efficient systems, water decontamination, and biomedical applications. His work integrates experimental and computational approaches to develop innovative solutions for challenges in multiphase flow measurement, smart hydrogel systems, and photocatalytic remediation. Notable contributions include studies on memristor-based neural networks, ferroelectric photomemristors for artificial vision systems, and light-responsive nanochannel membranes for pesticide control. Dr. Faraj also specializes in multiphase flow characterization using techniques like Electrical Resistance Tomography (ERT) and Particle Image Velocimetry (PIV), contributing to industrial applications in oil/gas/water flow measurement and sewage sludge management. His research emphasizes sustainability, energy efficiency, and scalable microfluidics for material synthesis.
Anton Souslov serves as Associate Professor in the Department of Physics at the University of Cambridge, leading the Theory of Condensed Matter (TCM) group within the Cavendish Laboratory. His research focuses on theoretical modeling of soft active materials, mechanical metamaterials, and topological states across mechanical and optical systems, with applications spanning quantum technologies to biological matter. His work centers on designing new states of matter through patterned structures from nanometers to macroscopic scales. Key interests include active solids that convert energy into mechanical work (inspired by biological systems like bacterial colonies), viscoelastic aerosols, topological mechanics, and photonic crystal fibers for quantum applications. The group develops theories integrating motors with elastic elements to create shape-changing materials exhibiting exotic elasticity and adaptive locomotion. Recent publications reveal strong trends in topological protection principles applied to mechanical and photonic systems, non-equilibrium active matter dynamics, and cross-scale material design. His team consistently bridges condensed matter theory with practical metamaterial engineering, particularly in active solids and multi-core optical fibers where topological physics enables novel light states. Prof. Souslov leads an active research group comprising postdoctoral fellows and students within the Cavendish Laboratory's TCM group. The team operates from the Ray Dolby Centre, collaborating extensively on projects that push physical limits of material properties through topological design principles and active matter concepts.
