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Endre Süli is Professor of Numerical Analysis at the University of Oxford, where he has maintained a distinguished academic career since 1985. He currently serves as Fellow and Tutor in Mathematics at Worcester College and Supernumerary Fellow at Linacre College. His progression at Oxford includes University Lecturer in Numerical Analysis (1985-1996), Reader in Numerical Analysis (1996-1999), and Professor of Numerical Analysis (1999-present). Süli completed his B.Sc. in Mathematics at the University of Belgrade (1974-1978), followed by an M.Sc. in Mathematics (1978-1980). As a British Council Visiting Student, he studied at Reading University and Oxford University in 1983/84, earned his Ph.D. from the University of Belgrade in 1985, and received his M.A. from Oxford University in the same year. Professor Süli's research centers on numerical analysis of nonlinear partial differential equations with applications across multiple scientific domains. His work spans free-discontinuity problems and computational modeling of fracture; finite element methods; Navier-Stokes-Fokker-Planck systems; adaptive algorithms with a-posteriori error control; implicitly constituted material models; and discontinuous finite element methods. His research bridges theoretical mathematics with practical computational approaches for complex physical phenomena. Recent publications (2024-2025) demonstrate Süli's continued leadership in numerical analysis, with focus areas including fractional calculus, stochastic PDEs, and advanced finite element techniques. His work shows strong interdisciplinary connections between mathematical analysis, fluid dynamics, and materials science, addressing challenging problems in polymeric fluids, porous media, and capillary flow modeling. Professor Süli's distinguished career has been recognized with numerous prestigious honors: Invited Speaker at the International Congress of Mathematicians, Madrid (2006) Fellow of the Institute of Mathematics and its Applications (2007) Foreign Member of the Serbian National Academy of Sciences and Arts (2009) Fellow of the European Academy of Sciences (2010) IMA Service Award (2011) SIAM Fellow (2016) Member of the Academia Europaea (2020) London Mathematical Society Naylor Prize and Lectureship (2021) Fellow of the Royal Society (2021) As an educator, Süli has received the Oxford University Teaching Excellence Award (2009) and the Mathematical Institute Teaching Award (2013). He has supervised numerous PhD students and postdoctoral researchers throughout his career, though specific names aren't documented in the available materials. His research has been supported by various grants enabling work on computational methods for partial differential equations. Süli maintains active service to the mathematical community through editorial boards and professional organizations. Professor Süli is affiliated with the Numerical Analysis research group and the Oxford Centre for Nonlinear PDE at the Mathematical Institute. These research centers provide a collaborative environment for theoretical and applied work on partial differential equations. His research often involves interdisciplinary collaborations with physicists, engineers, and computational scientists to develop and analyze numerical methods for complex physical phenomena.

• Numerical Analysis of Partial Differential Equations
• Finite Element Methods
• Computational Modeling of Fracture
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Martin Ostoja-Starzewski , Ph.D. (McGill), is a Professor of Mechanical Science & Engineering at the University of Illinois at Urbana-Champaign , with affiliate appointments at the Beckman Institute and National Center for Supercomputing Applications . His research spans continuum mechanics , stochastic wave propagation , and fractal media , focusing on scaling laws and the statistical-to-representative volume element transition. 2006–Present: Professor, UIUC 2001–2005: Canada Research Chair, McGill University 2023: Rothschild Distinguished Visiting Fellow, University of Cambridge 2022: Member, European Academy of Sciences and Arts 2024: Academia Europaea Foreign Member His work pioneered continuum mechanics with spontaneous second law violations and tensor random fields for stochastic PDEs. He authored four foundational books, including Tensor-Valued Random Fields for Continuum Physics (2019), and edited 16 special issues. Recent 2025–2023 articles explore odd elasticity , fractal thermodynamics , and stochastic wavefronts , bridging non-equilibrium thermodynamics to granular Couette systems . Scientific accolades include the Worcester Reed Warner Medal (2018) and ASME , AAM , SES fellowships. As part-time faculty at Beckman Institute (2008–Present), he integrates bioimaging with mechanics across electrosurgery and traumatic brain injury modeling.

• Continuum Mechanics
• Stochastic Mechanics
• Fractal Media
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Felix Otto is a Professor and Director at the Max Planck Institute for Mathematics in the Sciences (Leipzig, Germany) since 2010. Previously, he held Full Professorships at the University of Bonn (1999–2010) and the University of California, Santa Barbara (1998–1999). His research focuses on applied mathematics, including micromagnetics, coarsening dynamics, stochastic homogenization, and hydrodynamic limits. He has received prestigious awards such as the Gottfried Wilhelm Leibniz Prize (2006) and the Max Planck Research Prize (2001). Education: 1993 PhD in Mathematics (advisor S. Luckhaus), University of Bonn 1990 Diploma in Mathematics (advisor G. Dziuk), University of Bonn Research interests emphasize the interplay between analysis, probability, and physics, particularly in understanding complex systems through rigorous mathematical methods. His work on gradient flows and optimal transport has led to foundational contributions in applied mathematics. Awards: Collatz Prize (2007) Membership in Berlin-Brandenburg Academy (2014) Leopoldina Academy (2008) Professional activities include roles as Editor of Archive for Rational Mechanics and Analysis and advisory roles at institutions like the Weierstrass Institute and Fondation Mathématique Jacques Hadamard.

• Micromagnetics
• Coarsening
• Stochastic Homogenization
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Gerhard A. Holzapfel is a Full Professor of Biomechanics and Head of the Institute of Biomechanics at Graz University of Technology (Austria) since 2007. He holds adjunct and visiting positions at KTH Royal Institute of Technology (Sweden) and the University of Glasgow (Scotland). His academic journey includes a PhD in Mechanical Engineering from Graz University of Technology, a Habilitation from TU Vienna (1996), and prestigious awards such as the START-Award (1997) and the Warner T. Koiter Medal (2021). His research focuses on constitutive modeling of biosolids, nonlinear continuum mechanics, and medical image processing. Notable contributions include studies on arterial wall mechanics, fibrous tissue behavior, and computational biomechanics. Holzapfel leads interdisciplinary teams exploring mechanobiology, vascular pathologies, and biomaterials, with applications in cardiovascular engineering and disease modeling. Education: PhD in Mechanical Engineering, Graz University of Technology Habilitation, TU Vienna (1996) Research Highlights: Multi-scale modeling of biological tissues Biaxial mechanical testing and microscopy integration Computational fluid-structure interaction (FSI) in vascular systems Biomechanical implications of medical interventions (e.g., stents, angioplasty) Awards: Warner T. Koiter Medal (2021) Corresponding Member, Austrian Academy of Sciences (2012) Erwin Schrödinger Prize (2011) START-Award (1997) Labs & Teams: Leads the Institute of Biomechanics at TU Graz, collaborating with international teams on vascular biomechanics and mechanobiology.

• Biomechanics
• Mechanobiology
• Nonlinear Continuum Mechanics
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Hans Zanna Munthe-Kaas is a Professor at the Department of Mathematics, University of Bergen since 2005 and an Adjunct Professor (Prof. II) at UiT - The Arctic University of Norway since 2022. He has held previous academic roles at NTNU and the University of Bergen. Education Dr.Ing. (PhD), Department of Mathematical Sciences, NTNU (1989) Siv.Ing. (MSc), Department of Mathematical Sciences, NTNU (1986) Research Interests focus on Differential Geometry , Lie Group Techniques in Geometric Integration , and Computational Mathematics , with applications to numerical methods and parallel computing. His work explores algebraic structures like Post-Lie and pre-Lie-Rinehart algebras, and their role in geometric integration and manifold integration. Scientific Awards and Memberships 1995 Carl-Erik Fröberg Prize in Numerical Analysis 1990 Exxon Mobile Research Award for Best PhD, NTNU 1986–1989 Jubilee Scholar Scholarship, NTNU 2016 Elected Member, The Norwegian Academy of Science and Letters 2012 Elected Member, The Royal Norwegian Society of Sciences and Letters (DKNVS) 2007 Elected Member, The Norwegian Academy of Technological Sciences (NTVA) Advising and Leadership includes supervising 9 PhD students, organizing 25 international scientific meetings, and serving as Editor-in-Chief of Foundations of Computational Mathematics , President of the Norwegian Mathematical Society, and Director of the Lie–Størmer Center .

• Differential Geometry
• Lie Group Techniques in Geometric Integration
• Computational Mathematics
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Zhou Jizhong is a George Lynn Cross Research Professor and Presidential Professor at the University of Oklahoma's School of Biological Sciences, where he also serves as Director of the Institute for Environmental Genomics (IEG) since 2005. He holds multiple adjunct appointments including at OU's School of Computer Sciences, School of Civil Engineering and Environmental Sciences, Tsinghua University's School of Environment, and Lawrence Berkeley National Laboratory. B.S. (Entomology), 1981, Hunan Agricultural University M.S. (Mathematical ecology), 1984, Hunan Agricultural University Ph.D. (Molecular Genetics), Washington State University, 1993 Postdoctoral Fellow, Michigan State University, 1993-1995 Staff Scientist at Oak Ridge National Laboratory, 1997-2005 Zhou's research spans microbial ecology, microbiome sciences, and climate change impacts on microbial communities. His work integrates genomic technologies with ecological theory to address fundamental questions about microbial diversity, community assembly, and ecosystem functioning under environmental change. He has pioneered approaches for analyzing microbial networks, community assembly mechanisms, and microbial responses to climate warming, with significant contributions to understanding how microbes regulate carbon cycling in ecosystems. Analysis of his recent publications reveals a strong focus on climate-microbe interactions, particularly how warming affects soil microbial diversity, network complexity, and ecosystem stability. His work consistently combines cutting-edge genomic technologies with ecological theory, advancing our understanding of microbial community dynamics across spatial and temporal scales. Several papers demonstrate his leadership in large international collaborations addressing global environmental challenges. Inaugural Lifetime Achievement Award from University of Oklahoma (2024) Elected to American Academy of Arts and Sciences (2023) Ranked #40 worldwide and #19 in US in Ecology & Evolution (2023) ISME-IWA BioCluster Grand Prize Award (2022) Soil Science Research Award (2022) Among Reuters' World's Top 1000 Climate Scientists (2021) Top 0.1% global highly cited researcher in multiple fields (2018-2023) Zhou has trained over 380 graduate students, postdocs, and visiting scholars, many of whom have become leaders in microbial ecology, particularly in China. He serves as Co-Chief Editor of mLife and Senior Editor for The ISME Journal, mBio, and Microbiome. As Chair of the interdisciplinary iFAST seminar series viewed by people from over 90 countries, he has significantly contributed to global scientific exchange. He has established fellowships at Tsinghua University, Lanzhou University, and the University of Oklahoma to support emerging scientists. As Director of the Institute for Environmental Genomics at OU, Zhou leads a major research center focused on developing and applying genomic technologies to address environmental challenges. His work with the Global Water Microbiome Consortium represents a significant international collaboration advancing our understanding of wastewater treatment microbiomes worldwide.

• Microbial ecology
• Microbiome sciences
• Climate change
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Julian Fischer is a Professor at the Institute of Science and Technology Austria, leading a research group in applied analysis and PDE theory. His work spans stochastic homogenization, interface evolution problems, and entropic reaction-diffusion equations. Education includes a PhD in Mathematics from the University of Erlangen-Nürnberg. Current research focuses on developing quantitative theories for random materials and analyzing interface dynamics in multiphase systems. Recent projects investigate weak-strong uniqueness principles for fluid interfaces and density fluctuations in particle systems. Awards include an ERC Starting Grant (2020) for 'Bridging Scales in Random Materials', the ÖMG-Förderungspreis (2020), and the Dr. Körper Prize of the GAMM (2015). Teaching covers specialized topics in PDEs, pattern formation, and mathematical aspects of continuum mechanics.

• Stochastic Homogenization
• Interface Evolution
• Reaction-Diffusion Systems
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Elisa Davoli is a Professor of Multiscale Calculus of Variations at the Vienna University of Technology (TU Wien), leading the Research Group Multiscale Variational Calculus . She holds a PhD from SISSA (Trieste) and has earned prestigious awards including the Richard von Mises Prize (2020) and FWF START Prize (2020). Her research focuses on materials science, calculus of variations, and PDEs, with applications to elasticity, phase transitions, and image reconstruction. She teaches courses like Mathematics for Electrical Engineering and Gamma Convergence , and actively organizes international workshops on topics like Shape Optimization and Multiscale Modeling . Her work bridges mathematical analysis and material science, addressing challenges in metamaterials, homogenization, and nonlocal effects. Research Interests : Homogenization, magnetoelasticity, fracture mechanics, calculus of variations, nonlocal models. Key Projects : FWF-SFB grants, START Prize research on tunable materials, and international collaborations with institutions like UTIA (Prague). Awards : Richard von Mises Prize (GAMM, 2020), FWF START Prize (2020), Faculty Teaching Award (2018). Her publications span over 60 papers in journals like Archive for Rational Mechanics and Analysis and SIAM Journal on Mathematical Analysis , addressing topics from morphoelasticity to Cahn-Hilliard systems. She also supervises research groups and contributes to the SFB Taming Complexity in Partial Differential Systems initiative.

• Materials Science
• Partial Differential Equations (PDEs)
• Calculus of Variations
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Prof. Clemens Heitzinger is an Associate Professor at TU Wien, affiliated with the Forschungsbereich Machine Learning (E194-06) . His research focuses on interdisciplinary applications of machine learning, computational methods, and nanotechnology. Key areas include reinforcement learning for healthcare optimization, stochastic modeling of PDE systems, and Bayesian inversion in sensor design. He leads the project PDE models for nanotechnology under the Scientific Computing and Modelling department (E101-03). His work spans medical imaging (e.g., electrical impedance tomography), nanopore sequencing, and nanoscale sensor development. Notable contributions include algorithms for corticosteroid therapy optimization in sepsis and superhuman performance in sepsis prediction via distributional reinforcement learning. He has advised over 13 PhD and Master's students, including Tobias Kietreiber, Sebastian Bittner, and Leila Taghizadeh. His research methodologies integrate machine learning with numerical analysis, emphasizing uncertainty quantification and PDE modeling. Recent trends in his publications highlight applications in personalized healthcare, industrial anomaly detection, and computational fluid dynamics in nanoscale systems. While no scientific awards are explicitly mentioned, his work has been published in high-impact journals and conference proceedings, reflecting his contributions to computational science and engineering.

• Machine Learning
• Reinforcement Learning
• Nanotechnology
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Elisa Davoli is a Professor at TU Wien, affiliated with the Multiscale Calculus of Variations Research Group (E101-01-3). Her work focuses on calculus of variations, micromagnetics, and material science, with applications in phase transitions, nonlocal models, and stochastic homogenization. She collaborates extensively with researchers such as Irene Fonseca, Manuel Friedrich, and Ulisse Stefanelli. Her recent research includes studies on fractional Cahn-Hilliard systems, sharp-interface limits, and optimal control in nonlocal frameworks. She also investigates stochastic homogenization in micromagnetics and structural changes in nonlocal denoising models through bilevel learning. Key contributions include existence results in large-strain magnetoelasticity, two-scale convergence methods for composite materials, and the derivation of linearized fracture models under non-interpenetration constraints. Her work bridges mathematical analysis with applications in solid mechanics and image processing.

• Calculus of Variations
• Micromagnetics
• Solid-Solid Phase Transitions
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