Charles-Edouard Bréhier is a Professor at the University of Pau and the Pays de l'Adour, specializing in numerical methods for stochastic systems. His research spans stochastic PDEs, multiscale modeling, metastable processes, and geometric numerical integration. He leads investigations into error analysis and computational efficiency for complex stochastic systems. Bréhier's work develops advanced numerical schemes for high-dimensional problems, including splitting integrators, Galerkin approximations, and structure-preserving algorithms. His recent publications focus on error bounds for SPDE discretizations, turbulence modeling, and stochastic geometric mechanics. Articles consistently demonstrate rigorous mathematical foundations for computational methods, with applications spanning fluid dynamics, plasma physics, and optimization. The research provides tools for simulating complex systems with inherent randomness across multiple temporal and spatial scales.
Res.Asst.Dr. Bahar Ayhan is affiliated with the Department of Civil Engineering at Istanbul Technical University (ITU). Her research focuses on structural mechanics, solid body mechanics, and fracture mechanics. She holds a Ph.D. from École Normale Supérieure de Cachan (2009–2013) and completed a postdoctoral fellowship at Johns Hopkins University (2015–2016). She has been a Research Assistant at ITU since 2007 and has contributed to advanced computational models for material behavior, including damage-plasticity coupling and fracture analysis. Her work spans multiscale analysis, constitutive modeling, and structural failure mechanisms. Educational Background: Ph.D., École Normale Supérieure de Cachan (2013) Master's in Structural Engineering, Istanbul Technical University (2013) Bachelor's in Civil Engineering, Istanbul Technical University (2003) Research Highlights: Her publications address topics such as gradient-enhanced damage models, strain rate effects on concrete, and finite element analysis of composite structures. She collaborates internationally and has presented at conferences like the World Congress on Computational Mechanics (WCCM).
Eduardo Sontag is a University Distinguished Professor at Northeastern University, holding joint appointments in the Electrical and Computer Engineering and Bioengineering departments, and affiliated with the Chemical Engineering program. He leads the Sontag Lab , which focuses on feedback control theory, systems biology, cancer, and biomedicine. His research spans synthetic biology, cancer immunology, biomolecular circuits, and computational complexity. Dr. Sontag earned a PhD from the University of Florida in 1977 . His work integrates mathematical modeling with experimental systems biology, emphasizing drug combination therapies, epigenetic dynamics, and robust gene regulation. Notable contributions include foundational theories in nonlinear control and applications to biomedical systems. Key Research Areas: Systems and synthetic biology, cancer metastasis, feedback control design, and biomolecular circuit engineering. Grants & Leadership: Principal Investigator of the MURI project on synthetic biology composition rules (NSF), Air Force Office of Scientific Research grants, and Semiconductor Research Corporation funding. His awards include the Bellman Control Heritage Award (2022), IEEE Field Award, SIAM Reid Prize, and election to the National Academy of Sciences (2025) and American Academy of Arts and Sciences (2024). His publications (over 15 listed here) address topics from neural network control to cancer therapy modeling. Labs/Teams: The Sontag Lab collaborates across disciplines to develop computational tools for genetic circuit design and analyze complex biological networks, with recent focus on adaptive therapy and epigenetic mechanisms.
Dr Chris Bouchard is a Senior Lecturer in Physics & Astronomy at the University of Glasgow's School of Physics & Astronomy. His research focuses on applying lattice quantum chromodynamics (QCD) to study phenomena in particle and nuclear physics, including rare meson decays, neutral meson mixing, and nucleon structure. He has contributed to precision calculations of form factors critical for testing the Standard Model and probing new physics. Key research areas include: Particle Physics: Rare B-meson decays (e.g., B→Kℓℓ), neutral meson mixing, and form factors for semileptonic processes. Nuclear Physics: Determination of nucleon matrix elements such as the axial coupling constant (gA), with applications to dark matter searches and neutrino physics. Lattice QCD Techniques: Development of methods for excited-state analysis, gradient-flowed actions, and Feynman-Hellmann theorem applications. Recent work highlights: 2023: Published form factors for B→K and D→K decays, enabling precise Standard Model predictions. 2022: Advanced lattice calculations of nucleon axial coupling to 1% precision. Collaborations include the Fermilab Lattice and MILC Collaborations. His research has been supported by grants from the UK’s Science and Technology Facilities Council (STFC).
Sevan Suni is an Associate Professor of Biology at the University of San Francisco, investigating how environmental change influences evolutionary trajectories and conservation status of populations. Her research focuses on drought/deforestation impacts on plant-pollinator interactions and enhancing positive feedback between natural and human-dominated areas. She holds a PhD in Biology from Stanford University and a BA from Colorado College. Research examines genetic and ecological responses to environmental stressors across diverse systems, including bees in fragmented landscapes, floral trait adaptation to water limitation, urbanization effects on pollination networks, and climate-associated morphological shifts. Her work integrates landscape genetics, behavioral ecology, and conservation biology. Publications demonstrate consistent focus on pollinator conservation under global change, with recent studies quantifying genetic diversity loss despite gene flow, urbanization impacts on floral specialization, and climate-driven phenotypic changes. Research frequently involves undergraduate participation in data collection.
Professor Antonio Gil is a faculty member at Swansea University within the Faculty of Science and Engineering , specifically in the Department of Civil Engineering . He graduated magna cum laude from the University of Granada (Spain) in 1999 and earned his PhD in computational analysis of non-linear structural membranes at Swansea University in 2005, winning the UK Society for Computational Mechanics best PhD paper in 2004. Education: Ingeniero de Caminos, Canales y Puertos (University of Granada, 1999); MSc in Computational Mechanics; PhD in Computational Mechanics (Swansea University, 2005) Research Interests span Computational Mechanics , Fluid-Structure Interaction , Finite Strain Modeling , and Soft Robotics , with a focus on physics-informed machine learning and multi-physics simulations. His work addresses challenges in electromechanical systems , cardiac mechanics , and high-strain dynamics . Recent Publications highlight advancements in SPH algorithms , topology optimization , and hyperelastic metamodels , reflecting his leadership in numerical methods and material modeling . These contributions have been recognized by prestigious awards including the Philip Leverhulme Award (2011) and the Olgierd Cecil Zienkiewicz Award (2016) . Scientific Awards: UK Philip Leverhulme Award (2011) Olgierd Cecil Zienkiewicz Award (2016) 1st National Award (Spanish Ministry of Education, 2000) Grants include coordination of the Erasmus Mundus PhD Program and leadership in H2020 Marie Curie ETN projects with budgets exceeding €6M. His supervision covers PhD projects in soft robotics , computational fracture , and MRI scanner design .
DALLABRIDA MATTIA is an Associate Professor at the Department of Physics 'Giuseppe Occhialini', University of Milan-Bicocca. His research focuses on the phenomenology of the Standard Model and non-perturbative studies of quantum field theories, particularly Quantum Chromodynamics (QCD), using lattice formulations. Affiliation: University of Milan-Bicocca Disciplinary Sector: Theoretical Physics of Fundamental Interactions (PHYS-02/A) Research Interests: He works on determining QCD fundamental parameters, studying high-temperature quark-gluon plasma, and developing theoretical and algorithmic methods to enhance lattice simulation precision. His efforts bridge computational techniques with fundamental particle physics. Scientific Awards: IRCSET EMBARK Grant (2011) Fellow at Trinity College Dublin (2011) Research Assignments: Current Senior Research Fellow at CERN (2021–2024) and Visiting Researcher at CERN (2016–2017, 2024). Former Temporary Researcher at DESY (2014–2016).
Alberto Abbondandolo is a Professor and Chairholder of Chair VII (Analysis) at the Faculty of Mathematics, Ruhr University Bochum. He is a leading researcher in symplectic geometry, dynamical systems, and Floer homology, affiliated with the Floer Center of Geometry. His work focuses on geometric analysis, Morse theory, and applications to Hamiltonian systems. He holds a PhD from Scuola Normale Superiore, Pisa (1999), and has authored/co-authored numerous publications in top journals. His research spans topics including symplectic capacities, systolic inequalities, and gradient models. He contributes to collaborative projects like SFB/TRR 191 (Symplectic Structures in Geometry, Algebra, and Dynamics). Teaching includes advanced courses on dynamical systems and differential topology. He engages in public outreach, explaining complex mathematical concepts through lectures and articles in Italian and German.
Prof. Dr. Christian Seis is a Professor of Applied Mathematics at the University of Münster, affiliated with the Institute of Analysis and Numerics. He is an Investigator in Mathematics Münster and specializes in applied analysis, partial differential equations (PDEs), and mathematical fluid dynamics. His research focuses on fluid dynamics phenomena, including vortex dynamics, mixing processes, and free boundary problems, with applications to convection and nonlinear diffusions. Education & Career: PhD from University of Leipzig (2011) Postdoctoral Fellow at University of Toronto (2011–2014) Lecturer (Akademischer Rat) at University of Bonn (2014–2017) Current position since 2017 at University of Münster Research Interests: Nonlinear PDEs, particularly fluid dynamics and transport equations Vortex dynamics, mixing in fluids, and boundary layer analysis Asymptotic behavior of solutions to Navier-Stokes and Euler equations Nonlinear diffusions, including thin film and porous medium equations Stability estimates and numerical schemes for advection-diffusion equations Recent Projects: Mathematical analysis of bubble rings in ideal fluids Optimal stability estimates for advection-diffusion equations Crossover of coarsening rates in demixing viscous liquids Analysis of the vanishing viscosity limit in 2D flows Grants & Collaborations: DFG Cluster of Excellence 'Mathematics Münster' (EXC 2044) Individual DFG grants for projects on transport equations and invariant manifolds Co-organizer of workshops on fluid dynamics and geometric PDEs Labs/Teams: Leads the research group on applied analysis and PDEs at the University of Münster, focusing on rigorous mathematical analysis of fluid dynamics and diffusion processes.
Simon Gabriel is a researcher affiliated with the Institute for Analysis and Numerical Analysis at the University of Münster. His work focuses on applied mathematics, calculus of variations, and partial differential equations with applications in material science and micromagnetism. He investigates phenomena such as magnetic skyrmions, phase transformations in shape memory alloys, and energy minimization problems in thin films. His research combines rigorous mathematical analysis with interdisciplinary applications in physics and engineering. He collaborates with institutions like the Applied Analysis group and contributes to projects exploring rigidity phenomena and microstructure formation. His teaching includes advanced seminars on geometric measure theory and calculus of variations. Affiliations : Institute for Analysis and Numerical Analysis, Faculty of Mathematics and Computer Science Research Interests : Micromagnetism, nonlocal isoperimetric problems, mean curvature flow, and variational methods in material science Key contributions include studies on magnetic skyrmions under confinement, rigidity in phase transformations, and convergence analysis of phase field models. His work bridges mathematical theory with practical applications in understanding material behavior at micro and nano scales.
Sebastian Hensel is a Researcher at the Hausdorff Center for Mathematics (HCM) at the University of Bonn since September 2021, under the mentorship of Prof. Tim Laux. He holds a PhD in Mathematics from the Institute of Science and Technology Austria (IST Austria), where he studied under Prof. Julian Fischer. His research focuses on partial differential equations, particularly interface evolution problems, fluid mechanics, stochastic homogenization, and stochastic PDEs. He has contributed to topics like mean curvature flow, free boundary problems, and weak-strong uniqueness principles. Education includes a PhD (2021, IST Austria), Master of Science in Mathematics (2017, Humboldt-Universität zu Berlin), and Bachelor degrees in Mathematics (2015, Freie Universität Berlin) and Business Administration (2013, Freie Universität Berlin). His work explores geometric PDEs, including multiphase systems, contact angle dynamics, and stochastic influences. Key contributions include stability analyses of evolving interfaces and convergence studies of phase-field models. His articles often bridge analytical rigor and applied mathematics, addressing challenges in nonlinear dynamics and calculus of variations. He has presented research at international conferences such as FBP 2020, SIAM MS20, and Equadiff 2019. His academic activities include seminars at institutions like TU Chemnitz, University of Regensburg, and Max-Planck Institute for Mathematics in the Sciences, Leipzig.
Gianluigi Rozza is a Full Professor in Numerical Analysis and Scientific Computing at SISSA (International School for Advanced Studies) in Trieste, Italy. He leads the SISSA mathLab research group and serves as Coordinator of the Mathematics Area at SISSA. He holds roles such as SISSA Director's Delegate for Innovation and Knowledge Transfer and member of various committees including the SISSA HPC Committee and SIAM Student Chapter. His research focuses on numerical analysis, computational fluid dynamics, reduced order methods (ROM), and their applications in engineering and biomedical fields. Education: Laurea cum Laude in Aerospace Engineering from Politecnico di Milano (2002), PhD in Applied Mathematics from EPFL (2005). Postdoctoral research at MIT (2006-2008), followed by roles at EPFL and SISSA. He has supervised over 30 PhD and Master’s students, with expertise in reduced order modeling and computational mechanics. Research Interests: Reduced basis methods, parametrized PDEs, fluid-structure interaction, cardiovascular simulations, environmental flows, machine learning integration, and industrial collaborations with companies like Danieli and Fincantieri. He coordinates EU projects such as the ERC Consolidator Grant AROMA-CFD (2016-2021) and the ITN ROMSOC project. Publications: Over 90 scientific papers, two books as editor, and contributions to open-source software like rbMIT and ITHACA-FV. Awards include the ECCOMAS Young Investigator Award (2014), SIAM Fellowship (2025), and the Gili Agonistelli Prize (2025). Grants and Projects: Principal Investigator of ERC AROMA-CFD and ARGOS PoC. Coordinates regional projects like UBE (Under Water Blue Efficiency) and TRIM. Engages in environmental modeling (e.g., SOPHYA, PRELICA) and industrial collaborations under MAR tc FVG. Labs/Teams: SISSA mathLab develops open-source tools for computational science, including ROM libraries and fluid dynamics solvers. Active in organizing workshops, serving on editorial boards (e.g., SIAM Journals), and advisory roles for agencies like ARPA FVG.
Valerio Lucarini is a Professor of Applied Mathematics at the School of Computing and Mathematical Sciences, University of Leicester. His research spans Statistical Mechanics, Climate Dynamics, Dynamical Systems Theory, and Meteorology. He has held leadership roles such as Director of the Centre Mathematics of Planet Earth at the University of Reading (2016-2024) and has been a Visiting Professor at the University of Hamburg. His scientific contributions focus on the thermodynamics of climate systems, tipping points, stochastic processes, and extreme event predictability. Recent work explores Koopman operator theory for response analysis, multiscale dynamical indices, and saddle avoidance in noise-induced transitions. Scientific Awards : 2024 IUGG Keilis-Borok Medal 2022 SIAM Mathematics of Planet Earth Prize 2022 Academia Europaea membership 2021 AGU E. N. Lorenz Lecture 2020 EGU L. F. Richardson Medal His publications demonstrate a multidisciplinary approach combining climate science, statistical physics, and mathematical modeling to address critical questions in climate change, ocean circulation stability, and nonlinear system response to perturbations.
Dr. Sergio Felicelli is a Professor and Chair in the Department of Mechanical Engineering at the University of Akron's College of Engineering and Polymer Science. He holds a Ph.D. in Mechanical Engineering from the University of Arizona (1991) and B.S./M.S. in Nuclear Engineering from Instituto Balseiro (1985). His expertise spans Solidification Modeling, Transport Phenomena, and Computational Mechanics. Dr. Felicelli has authored pioneering works on computer modeling of freckle segregation during solidification and has directed projects on casting, additive manufacturing, and parallel simulations of microstructures. His research focuses on advancing computational methods for material processing, including dendritic solidification under microgravity conditions, multiphase flow dynamics, and large-scale parallel simulations. He has secured $15M in grants through 23 funded projects and is an ASME Fellow. His work integrates experimental validation with numerical modeling, particularly using lattice Boltzmann and phase field methods. Dr. Felicelli has led international collaborations on casting defects and serves in academic leadership roles. Education: Ph.D., Mechanical Engineering, University of Arizona, 1991 B.S./M.S., Nuclear Engineering, Instituto Balseiro, 1985 Dr. Felicelli's research trends emphasize computational modeling of materials under extreme conditions, with recent articles addressing microgravity solidification effects, multiphase interactions, and high-performance computing for microstructure prediction. His work bridges fundamental science and industrial applications in additive manufacturing and energy storage systems. Awards: ASME Fellow (prestigious honor in mechanical engineering) Grants & Funding: Over $15M secured through 23 grants, focusing on solidification science and advanced manufacturing technologies. He advises on courses such as Heat Transfer and Numerical Methods, and his lab explores cutting-edge techniques in computational materials science. Collaborations include NASA and international institutions, with a focus on solving complex industrial and aerospace material challenges.
Karen Witberg is an active Researcher in the Department of Cardiology at Erasmus University Medical Center, specializing in advanced intravascular imaging techniques within the Erasmus School of Medicine. Her clinical research focuses on optimizing percutaneous coronary interventions through precise imaging analysis. Her primary research interests span interventional cardiology , with deep expertise in intravascular ultrasound (IVUS) and optical coherence tomography (OCT) applications. Key investigation areas include: Coronary plaque characterization and thrombus analysis Sex-specific differences in atherosclerotic disease Stent optimization in calcified lesions Physiological gradient validation post-PCI Current work emphasizes improving outcomes in ST-elevation myocardial infarction and familial hypercholesterolemia through imaging-guided interventions. Analysis of her recent publications reveals a strong trend toward quantitative intravascular imaging for procedural guidance, with particular focus on sex-based disparities in plaque morphology and the hemodynamic impact of stent underexpansion. Her collaborative work consistently appears in high-impact cardiology journals like JACC: Cardiovascular Interventions and Catheterization and Cardiovascular Interventions .
