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Ankit SrivastavaView profile

Professor

• Wave Propagation
• Micromechanics
• Homogenization Theory
• +7 more

Ankit Srivastava is a Professor of Mechanical Engineering at Illinois Institute of Technology's Armour College of Engineering, affiliated with the Mechanical, Materials, and Aerospace Engineering department and the Center for Sports Innovation. His research focuses on wave propagation in heterogeneous media, metamaterial design, micromechanics, soft robotics, and data-driven mechanics. Applications span cloaking, shock mitigation, transducer design, and structural health monitoring. Education Ph.D. Structural Engineering, University of California, San Diego (2009) M.S. Structural Engineering, University of California, San Diego (2006) B.Tech. Civil Engineering, Indian Institute of Technology, Guwahati (2004) Research Interests His work addresses fundamental aspects of wave control, including inverse design for acoustic/elastic materials, homogenization theory, and soft robotics. Key areas include: Nonlinear wave dynamics and material characterization Metamaterials for shock absorption and energy control Machine learning integration in mechanics simulations Non-destructive evaluation techniques Notable Achievements Recipient of the NSF CAREER Award (2016-2021) for work on elastodynamic metamaterials 2020 MMAE Excellence in Teaching Award 2017 MMAE Excellence in Research Award Grants & Professional Roles Srivastava leads the NSF-funded project on Transformation Elastodynamics and serves as Secretary of the Midwest Mechanics Seminar Series and Associate Editor of Mechanics of Materials . His research emphasizes bridging theoretical mechanics with practical engineering solutions. Labs & Collaborations Affiliated with the Center for Sports Innovation, his work intersects sports technology with advanced materials science and robotics.

Georgia KaraliView profile

Associate Professor

• Partial Differential Equations
• Stochastic Analysis
• Nonlinear Dynamics
• +4 more

Georgia Karali is an Associate Professor in the Department of Mathematics at the National and Kapodistrian University of Athens, Greece. She previously held positions at the University of Crete, including Professor (2019–2024), Associate Professor (2013–2019), and Assistant Professor (2011–2013). Her research focuses on partial differential equations, stochastic differential equations, and multi-scale problems, with applications in phase transitions, nonlinear dynamics, and mathematical physics. Education: Ph.D. in Mathematics, University of Athens (2002; Advisor: Prof. N.D. Alikakos) M.Sc. in Mathematics, University of Athens (1999) B.Sc. in Mathematics, University of Athens (1997) Research Interests: Georgia's work spans stochastic and deterministic partial differential equations, with a focus on free boundary problems, phase-field models, and stochastic analysis. She explores phenomena such as interface dynamics, pattern formation, and singular perturbations, often bridging theoretical analysis with applications in materials science and mathematical biology. Recent projects include modeling financial systems through stochastic Stefan problems and investigating drug absorption kinetics using pharmacokinetic models. Grants & Leadership: Principal Investigator for multiple grants from the Hellenic Foundation for Research & Innovation, Greek Secretariat for Research & Innovation, and the EU Marie-Curie programs. Organized over 20 international workshops and conferences, including the Mathematical Challenges in Multi-Phase Materials (2009) and Advances in PDEs in Physics and Materials Science (2024). Affiliated with the Institute of Applied and Computational Mathematics (IACM/FORTH) in Heraklion, Crete. Professional Contributions: Her research has been published in top journals like Archive for Rational Mechanics and Analysis and SIAM Journal on Applied Dynamical Systems . She actively promotes interdisciplinary collaboration, co-authoring studies on pharmacokinetics and leading workshops on stochastic analysis and PDE applications.

Sean P. CarneyView profile

Assistant Professor

• Applied Mathematics
• Computational Mathematics
• Numerical Analysis
• +6 more

Sean P. Carney is an Assistant Professor of Mathematics at Union College , focusing on applied and computational mathematics. His roles include teaching courses in differential equations, partial differential equations, and numerical methods, while leading research in multiscale and stochastic modeling, PDE-constrained optimization, and turbulent flow dynamics. Education: Ph.D. in Mathematics from the University of Texas at Austin (2020), advised by Björn Engquist; B.S. in Mathematics from the University of Michigan, Ann Arbor (2014). Prior Experience: Postdoctoral Research Fellow at George Mason University’s Center for Mathematics and Artificial Intelligence; Hedrick Assistant Adjunct Professor at UCLA (2020–2023); Graduate Research Assistant at Lawrence Berkeley National Lab (2018–2019). Carney’s research centers on multiscale and stochastic modeling , with applications in transport and mixing in turbulent flows , homogenization theory , and optimization under uncertainty . His work combines numerical analysis with physical modeling to solve complex problems in PDE-constrained optimization and fluid dynamics. Recent publications highlight his contributions to numerical homogenization , chaotic electroconvective flow modeling , and liquid-liquid phase separation in confined systems . These studies span fluid dynamics, computational physics, and applied mathematics, often involving collaborations with institutions like UCLA, UT Austin, and Lawrence Berkeley National Lab. Scientific Awards: Editors' Suggestion, Physical Review Fluids (2020) Carney has mentored students in the UCLA Computational and Applied Mathematics REU program and the Cal-State/UCLA Summer Bridge Program. His teaching spans differential equations, numerical methods, and advanced PDE courses at Union College and UCLA.

Tsing-Hua HerView profile

Associate Professor

• Light-matter interaction
• Laser material synthesis and modification
• Guided-wave physics
• +4 more

Dr. Tsing-Hua Her is an Associate Professor in the Department of Physics and Optical Science at The University of North Carolina at Charlotte (UNC Charlotte) . He is also a faculty member in the interdisciplinary graduate programs of Optical Science and Engineering and Nanoscale Sciences . He leads the Tsinghua Research Group (THRG) , which focuses on innovative, multidisciplinary research in optics, photonics, and nanoscience. Education : Ph.D. in Applied Physics, Harvard University (1998) B.S. in Physics, National Tsing Hua University , Taiwan (1990) Research Interests include light-matter interaction , laser material synthesis , guided-wave physics , ultrafast and nonlinear optics , microresonators , and optical sensing and imaging . His work spans theoretical modeling, experimental validation, and real-world applications in photonics and materials science. His publications reflect a strong focus on index-antiguided waveguides , gain guiding , thermal effects in lasers , and femtosecond laser processing . These studies contribute to advancements in high-power lasers, fiber optics, and nanostructured materials. Awards and Honors : DARPA Young Faculty Award (2008) OSA Senior Member (2010) Air Force Summer Faculty Fellowship (2015) Teaching and Mentorship : Dr. Her teaches a wide range of physics and optics courses, including quantum mechanics, electromagnetic theory, and nanoscale phenomena. He has supervised numerous graduate students and postdocs, many of whom have gone on to careers in academia and industry. Labs and Teams : Dr. Her leads the Tsinghua Research Group , which is dedicated to solving critical problems in optics, physics, chemistry, materials, biology, and medicine using innovative physical principles. The lab also aims to train creative and highly skilled scientists and engineers.

Andreas RingwaldView profile

Visiting Professor

• Particle Physics
• Theoretical Physics
• Astroparticle Physics
• +3 more

Andreas Ringwald is a particle physicist at DESY and Visiting Professor at Durham University's Institute of Particle Physics and Phenomenology. As Head of the ALPS Group and co-spokesperson of the ALPS Collaboration, he leads research on non-collider particle physics including light neutral bosons, millicharged particles, and fundamental physics with X-ray lasers. His research develops novel approaches to detect weakly interacting particles through experiments like light-shining-through-walls techniques. Major theoretical contributions include the discovery of T regulatory type 1 cells and advancing quantum field theory applications in cosmology. Recent publications focus on superconducting magnet technology for next-generation particle accelerators, including optimization of quench protection systems, Nb₃Sn dipole development, and diagnostic methods for superconducting circuits.

James RobinsonView profile

Professor

• Mathematics
• Fluid Dynamics
• Turbulence
• +5 more

James Robinson is a Professor of Mathematics at the University of Warwick, serving as Head of the Department of Mathematics. His research focuses on rigorous fluid dynamics, turbulence, infinite-dimensional dynamical systems, non-autonomous systems, and dimension theory. He has authored multiple influential books including Infinite-dimensional dynamical systems (2001) and Classical theory of the three-dimensional Navier-Stokes equations (2016). His work spans theoretical mathematics with applications to fluid mechanics, particularly addressing the Navier-Stokes equations and turbulence modeling. He has held significant grants, including an EPSRC Leadership Fellowship (2008–2014) and a Royal Society University Research Fellowship (1999–2007). His contributions include advancing understanding of global attractors, bifurcation theory, and functional analysis. Robinson has collaborated extensively, co-authoring works on topics such as non-autonomous systems and mathematical aspects of fluid mechanics. His research bridges pure mathematics and applied fields, with a focus on foundational theory and computational validation.

Marcel SwartView profile

Professor

• Theoretical Chemistry
• Computational Chemistry
• Catalysis
• +7 more

Marcel Swart is a Full Professor and ICREA Professor of Theoretical Chemistry at the University of Girona (UdG), affiliated with the Institute of Computational Chemistry and Catalysis (IQCC) and the Faculty of Science. He holds a PhD from the University of Groningen and completed postdoctoral research in Amsterdam. His research focuses on theoretical and computational chemistry, particularly transition-metal reactivity, catalysis, and spin-state effects in bioinorganic systems. He has led the IQCC as Director (2015–2023), served as Editor for Inorganica Chimica Acta , and pioneered software like the Amsterdam Modeling Suite (AMS) and MSXC system. Affiliations: IQCC, Department of Chemistry (UdG), and multiple editorial roles. Education: PhD in Theoretical Chemistry (Groningen, 2002), postdocs at University of Amsterdam. Research interests include computational catalysis , metal-oxo intermediates , spin-state effects , and method development . His work bridges theory and experiment, with applications to energy and environmental chemistry. Key contributions include the MSXC computational framework and studies on high-valent iron and copper systems. Awards: Fellow of the Royal Society of Chemistry (2015), Member of Academia Europaea (2019), MGMS Silver Jubilee Prize (2012). Swart has supervised numerous PhD students and collaborates globally on predictive computational chemistry for confined-space catalysis. His labs focus on open science practices, including reproducible data sharing and open-access publishing.

Martha GarlickView profile

Professor

• Ecology
• Mathematical Biology
• Biostatistics
• +3 more

Martha Garlick is a Professor at the South Dakota School of Mines & Technology. Her research focuses on mathematical and statistical modeling applied to ecological and biological systems, including animal movement, disease spread, and quantitative PCR optimization. She holds a B.S., M.S., and Ph.D. from Utah State University. Education B.S., Utah State University M.S., Utah State University Ph.D., Utah State University Her work bridges computational methods with ecological and biomedical challenges, such as modeling chronic wasting disease in deer and optimizing PCR techniques. Notable contributions include applying homogenization techniques to large-scale ecological models and analyzing power-law behaviors in insect outbreaks. Dr. Garlick’s articles emphasize interdisciplinary approaches, combining differential equations, statistical modeling, and computational efficiency to address real-world problems in biology and ecology. No scientific awards are listed in the provided materials. Advising & Grants No advisees or grant information is specified in the text. Labs/Teams: No specific labs or collaborative teams are mentioned.

Prashant K. JhaView profile

Assistant Professor

• Fracture Mechanics
• Mechanics of Solids and Granular Media
• Multiphysics and Multiscale Modeling
• +5 more

Prashant K. Jha is an Assistant Professor in the Department of Mechanical Engineering at the South Dakota School of Mines and Technology. Previously, he served as a Mechanical Engineering Lecturer (equivalent to Assistant Professor) at the University of Portsmouth and held postdoctoral positions at Louisiana State University and the Oden Institute at UT Austin. PhD in Civil and Environmental Engineering (2016), Carnegie Mellon University ME in Mechanical Engineering (2012), Indian Institute of Science BE in Mechanical Engineering (2010), Govt. Engineering College Raipur His research focuses on computational mechanics of materials, combining peridynamics , machine learning , and nonlocal modeling to study: Fracture mechanics in soft and granular materials Multiphysics and multiscale simulations Neural operators for scientific computing Uncertainty quantification in material models Design of functional materials under extreme conditions Applications to biomedical imaging and tumor growth Recent publications emphasize neural operator surrogates with error correction, peridynamic modeling of granular media, and multi-fidelity simulations. His work has appeared in journals like CMAME , ARMA , and JCP . NSF ERI award (2025) for multi-fidelity modeling SDBOR CRG award (2025) for magnetic soft materials He advises students in computational mechanics and serves on editorial boards of Journal of Peridynamics and Nonlocal Modeling , JOSS , and Scientific Reports . The CEAD Lab develops methods for fracture analysis, smart material design, and nonlocal neural operator frameworks.

Rita Teixeira da CostaView profile

Assistant Professor

• Mathematical General Relativity
• Black Holes
• Hyperbolic Partial Differential Equations
• +3 more

Rita Teixeira da Costa is an Assistant Professor at the Department of Pure Mathematics and Mathematical Statistics (DPMMS) at the University of Cambridge, and Sheila Edmonds Lecturer at Newnham College. She holds a dual affiliation as an NSF and Princeton Gravity Initiative Fellow (2021–2024) and Junior Research Fellow at Trinity College. Her research focuses on Mathematical General Relativity, particularly black hole dynamics, hyperbolic PDEs, and geometric analysis. Her work explores foundational questions in gravitational physics, including stability properties of black holes, the behavior of gravitational waves, and the interplay between geometric structures and partial differential equations. Notable contributions include analyses of the Teukolsky equation on Kerr spacetimes and homogenization techniques applied to Einstein’s equations in symmetric configurations. Key awards include her NSF fellowship and Trinity College Junior Research Fellowship. While her profile does not explicitly list grants or advising roles, her publications reflect active engagement in collaborative research with institutions like Princeton University and international co-authors. Her personal homepage at DPMMS provides further details on her research outputs and academic activities.

• Pure Mathematics
• Model Theory
• Algebra
• +4 more

David Evans is a Professor of Pure Mathematics at the Department of Mathematics, Imperial College London, within the Faculty of Natural Sciences. His research focuses on Model Theory and its interactions with Algebra and Combinatorics, particularly stability theory, Hrushovski constructions, and infinite permutation groups. He has advised numerous research students, including D. G. D. Gray, Reinhold Konnerth, and Marco Ferreira, among others. His work spans topics like automorphism groups of metric spaces, Ramsey properties of sparse graphs, and algebraic structures arising from combinatorial constructions. Evans has contributed significantly to understanding homogeneity in combinatorial structures and the simplicity of automorphism groups derived from Hrushovski's constructions. His affiliations include the Algebra and Algebraic Combinatorics research group and the Pure Mathematics section at Imperial. Key contributions include advancing the theory of omega-categorical structures, Ramsey theory applications, and algorithmic group theory.

• Probability Theory
• Stochastic Partial Differential Equations
• Mathematical Physics
• +5 more

Martin Hairer is a Royal Society Research Professor of Pure Mathematics at EPFL and Imperial College London. His research focuses on stochastic analysis, stochastic partial differential equations (SPDEs), and their applications in mathematical physics and statistical mechanics. He holds academic positions at both institutions, contributing to the Faculty of Natural Sciences. Hairer earned his PhD in Physics from the University of Geneva (2001) and has held prestigious roles such as the Regius Professor of Mathematics at the University of Warwick (2014–2017) and the Chair in Probability and Stochastic Analysis at Imperial College London (2017–2022). His work bridges analysis, probability, and physics, with groundbreaking contributions to the theory of regularity structures for solving singular SPDEs. His research interests include renormalization techniques for stochastic PDEs, ergodic theory, and the analysis of critical phenomena in statistical mechanics. He has advised over 20 PhD students and postdoctoral researchers, many of whom now hold academic positions globally. Awarded the Fields Medal (2014), the highest honor in mathematics, Hairer has also received the Breakthrough Prize (2020), Onsager Medal (2024), and numerous fellowships. His contributions to stochastic analysis have advanced understanding of complex systems, including fluid dynamics and quantum field theory. Hairer’s professional engagements include editorial roles at leading journals (e.g., Inventiones Mathematicae , Communications in Mathematical Physics ), and leadership in international mathematical committees, such as the Abel Prize committee and the EMS Prize committee.

• Solid Mechanics
• Materials Science
• Metamaterials Design
• +5 more

Prof. Dennis M. Kochmann is a Full Professor and Head of the Department of Mechanical and Process Engineering at ETH Zurich. His research focuses on theoretical, computational, and experimental solid mechanics, particularly linking microstructure to macroscopic material properties. He leads the Mechanics & Materials Lab, exploring architected metamaterials, instabilities across scales, and advanced modeling techniques like phase field and atomistic-to-continuum coupling. His work spans materials such as metals, ceramics, and active composites, with applications in additive manufacturing and energy absorption. Kochmann holds a Dr.-Ing. from Ruhr-University Bochum and has held academic roles at Caltech before joining ETH in 2017. His awards include the NSF CAREER Award, ERC Consolidator Grant, and multiple society recognitions. He serves on editorial boards and contributes to academic governance roles at ETH and international societies.

Dennis KochmannView profile

Professor

• Solid Mechanics
• Materials Science
• Metamaterials
• +4 more

Prof. Dennis Kochmann is a Full Professor of Mechanics and Materials and Head of the Department of Mechanical and Process Engineering at ETH Zurich. His research focuses on theoretical, computational, and experimental solid mechanics, particularly the link between microstructure and macroscopic material properties. Key interests include metamaterials, architected materials, and instabilities across scales. His group develops advanced computational techniques like phase-field modeling and atomistic-to-continuum coupling. Education: He holds a Dipl.-Ing. from Ruhr-University Bochum (2005), a Master's from UW-Madison (2006), and a Dr.-Ing. from Ruhr-University Bochum (2009). He has held academic roles at Caltech before joining ETH Zurich in 2017. Research emphasizes architected materials with controllable properties, such as nano/micro-truss networks and active composites. Applications span additive manufacturing, energy absorption, and nonlinear dynamics. His work bridges mechanics, materials science, and computational methods. Awards: NSF CAREER Award, ERC Consolidator Grant, Bureau Prize (IUTAM), Richard von Mises Prize (GAMM) Leadership: Head of Department (since 2023), former Head of Institute of Mechanical Systems (2018-2020) Editorial Roles: Associate Editor for Applied Mechanics Reviews , Archive of Applied Mechanics , and others Labs/Teams: Leads the Mechanics & Materials Lab, focusing on computational and experimental material studies. Collaborates on projects involving AI-driven materials design and metamaterials optimization.

• Inverse problems
• Uncertainty quantification
• Numerical Analysis
• +6 more

Zhang Wenlong is an Assistant Professor in the Department of Mathematics at the Southern University of Science and Technology (SUSTech). His research focuses on inverse problems, uncertainty quantification, numerical analysis, and their applications in fields such as electrical impedance tomography and partial differential equations. He holds a B.Sc. in Information and Computational Science from Nanjing University (2007-2011), a Ph.D. in Computational Mathematics from the Chinese Academy of Sciences (2011-2014), and a dual Ph.D. from the DMA at École Normale Supérieure and ETH Zürich under Professors Zhiming Chen and Habib Ammari. Prior to his current role, he was a postdoc at SUSTech (2017–2019). His research areas include inverse problems, hybrid imaging methods, homogenization theory, and numerical methods for PDEs. He has contributed to advancements in convexification techniques for inverse problems, stochastic convergence analysis, and data-driven model reduction methods. His work often intersects applied mathematics, computational physics, and biomedical imaging. Zhang has taught courses in linear algebra, ordinary differential equations, and finite element methods at SUSTech since 2017. His publications span top journals such as SIAM Journal on Imaging Sciences, Inverse Problems, and Journal of Computational Physics, reflecting his expertise in interdisciplinary computational and applied mathematics.