Ali Farhadzadeh is an Associate Professor at the School of Marine and Atmospheric Sciences, Stony Brook University. His research focuses on nearshore hydrodynamics, sediment transport, and coastal protection systems. He holds a Ph.D. from the University of Delaware's Center for Applied Coastal Research (2011). His work addresses resilient coastal infrastructure, wave-structure interactions, and disaster resilience for vulnerable communities. Education: Ph.D., 2011 - Center for Applied Coastal Research, University of Delaware. Research interests include coastal flooding mitigation, sediment dynamics under extreme events, and marine renewable energy resource assessment. His recent studies explore scour processes, oyster reef functionality, and human-centric flood resilience strategies. Publications highlight trends in numerical modeling of wave impacts, physical experiments on bluff recession, and collaborative projects on debris dynamics. His research integrates computational tools with experimental data to improve coastal hazard prediction and infrastructure design. Grants include SCC-CIVIC-PG Track A (2022) for socioeconomically disadvantaged coastal communities and collaborative NSF projects on scour mechanisms. He leads efforts in experimental facilities and field observations for coastal processes analysis. Labs/Teams: Directs research on coastal hazards and resilience, with contributions to the School's marine and atmospheric science initiatives.
Amélie Têtu serves as a Part-time Lecturer at Aalborg University Business School within the Faculty of Social Sciences and Humanities. Her research focuses on wave energy conversion systems, power converters, and hydrodynamic modeling of marine renewable energy technologies. Her recent publications examine wave energy converter optimization, hydrodynamic performance of floating offshore wind turbines, and techno-economic assessment methods for renewable energy systems.
Elissa Eggenweiler holds the position of Researcher at the University of Stuttgart, affiliated with the Institute of Applied Analysis and Numerical Simulation under the Chair of Applied Mathematics. She specializes in multiscale problems, particularly in homogenization, boundary layer theory, and the coupling of free-flow and porous-medium systems. Her work bridges theoretical analysis and numerical simulation techniques. Her research focuses on interface conditions for fluid-porous medium interactions, with applications in Stokes-Darcy systems and uncertainty quantification. Notable contributions include modifications to classical boundary conditions (e.g., Beavers-Joseph) and Bayesian validation frameworks for coupled flow systems. Eggenweiler’s publications (2020–2023) emphasize rigorous mathematical analysis and computational methods for multiscale phenomena. While no explicit awards are listed, her involvement in projects like the validation of pore-scale resolved models highlights her collaborative and applied research ethos. Currently, she contributes to the development of effective coupling conditions and numerical frameworks at the Institute, with a focus on advancing porous-medium and free-flow system modeling.
Abner J. Salgado is a Professor in the Department of Mathematics at the University of Tennessee, Knoxville. His research focuses on the numerical analysis of partial differential equations (PDEs), with particular emphasis on nonlocal problems, degenerate/singular diffusion, complex fluids, and nonlinear PDEs. He is dedicated to the design, analysis, and implementation of approximation schemes for these models, including finite element methods and other numerical techniques. Education: Ph.D. in Mathematics from Texas A&M University. Research interests include computational mathematics, numerical analysis of PDEs, and their applications in fluid dynamics and materials science. His work addresses challenges such as singular forcing terms, nonlocal operators (e.g., fractional Laplacian), and multiphase flow problems. Recent trends in his publications highlight advancements in nonlocal models, fractional diffusion, and optimal control of PDEs, with a focus on theoretical rigor and computational efficiency. Labs/Teams: While specific lab affiliations are not explicitly mentioned, his research collaborations involve advanced numerical methods and interdisciplinary applications in fluid dynamics and continuum mechanics.
Thomas-Peter Fries is a Professor at the Institute of Structural Analysis, TU Graz. His research focuses on computational mechanics, fluid-structure interaction (FSI), and biomedical engineering, particularly in modeling aortic dissection and hydraulic fracturing. He develops advanced numerical methods like the Trace Finite Element Method (TraceFEM), XFEM, and higher-order meshing techniques for complex geometries. Fries leads projects funded by FWF and EU, collaborating internationally on cardiovascular simulations and material science. His work bridges CAD integration, patient-specific modeling, and multiphysics problems, emphasizing accuracy and efficiency in FSI simulations. Education and affiliations: PhD and habilitation in engineering, with extensive contributions to computational methods for structural analysis and fluid dynamics. Active in conferences and editorial roles, he has over 140 publications and 20+ projects since 2005. Research areas include fracture mechanics, numerical mathematics, and CFD applications in biomedical systems. Key Projects : Embedded Manifolds : Continuously embedded manifold models in mechanics (FWF-funded, 2025–2029) Aortic Dissection : Simulating fluid-structure-crack interactions and thrombus formation (2018–2020) VEGA : CAD-based virtual prototyping with boundary element methods (2021–2025) Scientific Contributions : Pioneered level-set-based methods for embedded substructures and FSI Developed high-order meshing schemes for implicit geometries Advanced patient-specific models for hemodynamics and aortic pathology Labs/Teams : Part of TU Graz’s interdisciplinary teams in computational biomechanics and structural analysis. Collaborates with experts in cardiovascular medicine, materials science, and computer science.
Lina Ma is an Assistant Professor of Mathematics at Trinity College. Her research develops computational models and efficient algorithms for problems in fluid dynamics, mathematical biology, electromagnetic systems, and stochastic processes. She employs spectral-Galerkin methods, finite element techniques, and discontinuous Galerkin approaches. Recent work focuses on numerical schemes for magnetohydrodynamics, vesicle membrane modeling, and phase-field equations. Her contributions include convergence analyses for resistive MHD equations and error analyses for Cahn-Hilliard systems.
Dr. Tarun Sheel is a Teaching Assistant Professor in the Department of Mathematics & Statistics at Memorial University of Newfoundland. With a PhD in Mechanical Engineering from Keio University, his research focuses on computational fluid dynamics, vortex methods, and high-performance computing techniques. His expertise includes developing accelerated vortex methods using Fast Multipole Method (FMM) and special-purpose computers like MDGRAPE systems. Current research investigates scour reduction at bridge piers using RANS turbulence modeling and bluff body flow control. Additional work spans parallel mesh generation, fluid-structure interaction, and multiphase flow simulation. Dr. Sheel's publications demonstrate consistent focus on computational acceleration techniques, with applications ranging from turbulent flow simulation to geotechnical problems like submarine landslides. His work integrates numerical analysis with hardware-specific optimizations for scientific computing. Teaching responsibilities include calculus, linear algebra, differential equations, and numerical methods across undergraduate and graduate levels at multiple institutions internationally.
Filippo Genco is an Associate Teaching Professor and Director of Industry Training at the Department of Energy and Nuclear Engineering, Ontario Tech University. His academic career includes roles as Assistant Professor and Mechanical Engineering Department Chair at Adolfo Ibáñez University (Chile), and positions at ALHOSN University (UAE) and Purdue University (USA). He holds a PhD in Nuclear Engineering from Purdue University. Education: PhD in Nuclear Engineering (Purdue University, 2013), M.S.N.E. (Purdue, 2012), M.S. in Aeronautics & Astronautics (Purdue, 2005), and B.S./M.S. in Mechanical Engineering (Politecnico di Bari, Italy, 2002). Research focuses on plasma-material interactions, magnetic fusion applications, radiation damage, advanced numerical methods, and nuclear propulsion systems. His work includes studies on nanofluids for fusion reactor cooling and seismic resilience of small modular reactors. He has published extensively on topics like plasma facing component durability, laser ablation modeling, and neutron kinetic equations. Key Awards: Alpha Nu Sigma Honor Society membership, UC Institute of Global Conflict Summer Fellowship Led interdisciplinary teams in fusion energy and thermal systems research. Active in engineering education innovation and industry collaboration through his Director role. Affiliated with the Energy Systems and Nuclear Science Research Centre (ERC).
Raphael Assier is a Reader in Applied Mathematics at the University of Manchester, Department of Mathematics. His research focuses on canonical scattering problems, mathematical diffraction theory, and complex analysis applications. He holds a PhD from the University of Cambridge and has held positions at Imperial College London before joining Manchester in 2013. His work bridges pure mathematics and industrial applications, including acoustic and electromagnetic wave scattering, combustion instabilities, and elastic wave dynamics. Education: Graduated from Ecole Centrale de Lyon, completed MAST (Part III) at Cambridge, and earned a PhD in Applied Mathematics from Cambridge under Nigel Peake. Research areas include wave diffraction by quarter-planes, functions of several complex variables, and homogenization techniques for periodic media. Research Groups: Mathematics of Waves and Materials, Continuum Mechanics (Fluid/Solid Dynamics), and Industrial and Applied Mathematics. Collaborations span global institutions, with recent work on wedge diffraction, Floquet-Bloch transforms, and high-frequency homogenization.
Andrew Hazel is a Professor of Applied Mathematics and Head of the Department of Mathematics at The University of Manchester. His research focuses on mechanical models of complex physical, biological, and chemical systems, employing computational methods to solve coupled differential equations. He co-developed the oomph-lib software library for multi-physics problems, widely used in engineering and scientific simulations. Education: BA and PhD in Mathematics (University of Cambridge). Postdoctoral research at The Ohio State University (Biomedical Engineering) and the University of Manchester (2000–2003). Appointed Lecturer at Manchester in 2003, progressing to his current role. Research Interests: Fluid and solid mechanics interactions, continuum mechanics, nonlinear dynamics, and biomedical applications. Current projects include bifurcation analysis, viscous fingering, circadian rhythm modeling, and crack propagation. Collaborations include work with Prof. A. Juel on the Manchester Centre for Nonlinear Dynamics. Grants & Projects: Leads the Centre for Biological Timing , exploring circadian rhythms in health and disease. Active in interdisciplinary research, including clinical measures for circadian effects and Hele-Shaw cell dynamics. Software Development: Co-architect of oomph-lib , a C++ library for finite element and spectral methods, enabling advanced computational modeling in multi-physics systems.
Dr. Eric Keaveny is a Reader in Applied Mathematics at the Department of Mathematics, Imperial College London. He is affiliated with multiple research groups including Applied Mathematics and Mathematical Physics, Biomathematics Group, Fluid Dynamics, and Mathematics in Medicine. His work focuses on computational modeling of fluid-structure interactions, particularly in biological systems such as microorganism locomotion and cilia-driven transport. He holds an EPSRC Standard Grant and an Imperial European Partners Fund Grant, and has received the Faculty of Natural Sciences Excellence in Teaching Award (2017). His research explores topics like coordinated motion of active filaments, stochastic suspensions, and hydrodynamic interactions in complex fluids. Education: Ph.D. in Applied Mathematics (Brown University, 2008), ScM Applied Mathematics (Brown University, 2006), B.S. Applied Physics (Columbia University, 2001). Research interests include microorganism locomotion, suspensions of interacting particles, low Reynolds number hydrodynamics, and numerical methods for fluid dynamics. His recent work involves simulating ciliary transport in lungs and developing algorithms for large-scale particle simulations. Grants/Awards: EPSRC Standard Grant (2017-2021), Imperial European Partners Fund Grant (2017-2019), Fulbright Fellowship (2012). He has supervised multiple interdisciplinary collaborations, including a joint Imperial-TUM doctoral program. Teaching: Currently lectures on Computational Dynamical Systems (MATH60023/70023). Previous courses include M3/4/5N9 (Autumn 2016).
Professor Thomas Adcock is a Professor of Engineering Science at the University of Oxford and Tutorial Fellow at St Peter's College. He currently serves as Senior Proctor for the 2024/25 Proctorial year, with responsibilities spanning University Council, over 50 University committees, OUP delegation, finance committee membership, ceremonial events, and student discipline. Previously, he served as Associate Head (Teaching) during the COVID pandemic and Director of Third Year Studies in the Department of Engineering Science. Professor Adcock received his MEng in Engineering Science from St. Peter's College, Oxford in 2001, followed by a D.Phil. under Paul Taylor at New College, Oxford. After initial post-doctoral work at Oxford, he gained industry experience as a metocean engineer for GL Noble Denton in London before returning to Oxford for research in tidal stream energy, eventually securing a lectureship in 2012 and promotion to Professor in 2022. His research focuses on ocean hydrodynamics for marine energy applications, with expertise in extreme wave statistics (particularly rogue waves in non-equilibrium sea states), wave-structure interactions (especially for offshore wind turbines), tidal stream energy resource assessment, and storm surge analysis. His Environmental Fluid Mechanics group employs analytical, numerical (including machine learning), and experimental methods to analyze ocean data, with strong international collaborations, particularly with the University of Western Australia. The group also explores historical engineering projects like the WWII Mulberry Harbours and innovative applications such as 'flyak' kayaks. Professor Adcock's recent publications reveal a strategic integration of machine learning with traditional fluid dynamics, particularly in tidal prediction (RTide), wave analysis, and offshore structure design. His work bridges fundamental fluid mechanics with practical engineering applications in renewable energy, with numerous publications in top journals spanning from 2006 to the present. 2024 Divisional teaching award for establishing a residential program for underrepresented prospective students Editing the engineering formula book (HLT) Exceptional tutoring and pastoral care recognition Students Tim Tang and Thomas Monahan won the Osborne Reynolds competition Media coverage in The Guardian and The Independent for Pentland Firth research BBC One Show demonstration of Mulberry Harbour engineering As a supervisor, Professor Adcock has mentored numerous doctoral students to completion with a median DPhil time of 40 months (vs. 48 months university-wide). His current research team includes post-doctoral researchers and graduate students working on floating wind turbines, wave-structure interactions, and tidal energy forecasting. He actively seeks students with strong backgrounds in engineering, physics, or mathematics interested in ocean engineering and marine energy. Professor Adcock chairs 'SUTGEF,' a special interest group of the Society for Underwater Technology, and maintains leadership roles in college governance. His Environmental Fluid Mechanics group conducts both fundamental and applied research, maintaining strong industry connections in marine renewable energy and collaborating on tidal and wave energy projects worldwide. The group's recent 'away day' in Wytham Woods exemplifies their collaborative, interdisciplinary approach to ocean engineering challenges.
Emma Edwards is a Career Development Fellow in Engineering at St Peter's College, University of Oxford. She holds a BSc in Mathematics from the University of North Carolina at Chapel Hill (2012), a PhD in Engineering from MIT (2020), and has held postdoctoral roles at MIT and the University of Plymouth. Her research focuses on offshore renewable energy technologies, including wave energy converters and floating offshore wind turbines (FOWTs), with expertise in hydrodynamic modeling, numerical simulation, and experimental validation. She has contributed to global hubs for offshore renewable energy research and expanded her work to floating wind turbine systems. Her career includes a unique parallel as a professional cyclist from 2018–2022. Her research interests span the optimization of wave energy converter geometries, comparative studies of offshore wind platform designs, and the analysis of hydrodynamic responses in dynamic systems. Key publications explore numerical-experimental model comparisons, platform design trends, and load prediction methodologies. She collaborates with leading institutions such as the University of Plymouth and MIT, leveraging advanced simulation tools and real-world testing frameworks. Emma’s work bridges theoretical and applied engineering, addressing challenges in renewable energy systems’ efficiency and structural resilience. Her contributions to early-stage FOWT designs and platform evolution have advanced the field, emphasizing sustainable offshore energy solutions.
Professor Pearson Miller is a faculty member in the Department of Physics at the University of California San Diego (UCSD). He holds a PhD in Physics from MIT (2020) and previously served as a Flatiron Research Fellow at the Center for Computational Biology at the Flatiron Institute (2020–2024). His research focuses on nonlinear dynamics applied to biological systems, including cell polarization, tissue morphogenesis, and pattern formation in developmental biology. Teaching responsibilities include advanced courses on numerical methods. His work bridges physics and biology, with a particular emphasis on mathematical modeling of biological systems. Key research areas include: Cellular mechanics and actomyosin networks Biophysical mechanisms of morphogenesis Evolution of stripe patterns in rodents Topological phenomena in cell membranes His interdisciplinary approach integrates computational modeling with experimental insights to study complex biological processes. While no awards are explicitly listed, his research has been published in top journals across physics and biology. He currently holds no listed lab affiliations or collaborative teams, though his prior fellowship at the Flatiron Institute indicates strong ties to computational biology research networks.
Dr. Marcel Padilla is a Postdoctoral Researcher at the Interactive Geometry Lab within the Department of Computer Science at ETH Zürich, supported by the Feodor-Lynen Fellowship from the Alexander von Humboldt Foundation. Previously, he completed his PhD at TU Berlin under Professors Ulrich Pinkall and Peter Schröder, focusing on solar corona modeling and geometry processing. Education: PhD in Computer Science, TU Berlin (2023) MSc in Mathematics, TU Berlin (2018) BSc in Mathematics, TU Berlin (2016) Research Interests: Marcel’s work spans physical simulations, geometry processing, fluid dynamics, and plasma modeling. He explores applications in computer graphics, such as modeling solar corona dynamics and vortex filament behavior. His methods often leverage discrete exterior calculus and variational principles to achieve computational efficiency and accuracy. Key Contributions: Recent work includes Exact 3D Green’s Function Integrations on Triangles (2025), Going with the Flow (2024), and Filament Based Plasma (2022). These studies address challenges in fluid-structure interaction, plasma visualization, and efficient numerical integration. Awards: Feodor-Lynen Fellowship (Alexander von Humboldt Foundation) Teaching & Outreach: Marcel has taught courses on Discrete Differential Geometry at ETH Zürich and Geometry Processing at TU Berlin. He also develops practical resources for Houdini programming and scientific presentation design. Labs & Collaborations: His research is supported by institutions like the DFG Collaborative Research Center TRR 109 and the Einstein Foundation Berlin. He actively contributes to open-source projects, including implementations of his publications on GitHub.
