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Cody ScarboroughView profile

Assistant Professor

• Electromagnetics
• Nonlinear Electromagnetics
• Metamaterials
• +4 more

Cody Scarborough is an Assistant Professor in the Department of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder. He earned his B.S. in Electrical and Computer Engineering from the University of Texas at Austin (2017) and his Ph.D. from the University of Michigan (2022). His research focuses on space-time modulated electromagnetic metamaterials, non-linear electromagnetics, and reconfigurable intelligent surfaces. He leads the Electromagnetic Metamaterials Research Group (EMRG), advancing next-generation communication systems and energy-harvesting technologies. Scarborough has pioneered novel boundary conditions like the interpath relation, reducing computational demands for analyzing space-time periodic structures. His work has earned best student paper awards at EuCAP 2021 and Metamaterials 2021. He teaches courses such as Electromagnetic Fields I and Electromagnetic Metamaterials, mentoring over 100 students. His research group explores parametric amplification, frequency conversion, and bandwidth enhancement through active metamaterial control. Education: B.S. UT Austin (2017), Ph.D. University of Michigan (2022) Labs/Teams: Electromagnetic Metamaterials Research Group (EMRG) Key Contributions: Space-time modulated antennas, N-path network analysis, interpath relation theory He holds provisional patents on parametric time-modulated antennas and efficient computational methods for metamaterial design. Beyond academia, he enjoys music, hiking, and skiing in Boulder's Flatirons.

Pierpaolo VivoView profile

Professor

• Random Matrix Theory
• Statistical Mechanics
• Complexity Science
• +3 more

Pierpaolo Vivo is a Reader in Disordered Systems at King's College London's Department of Mathematics, part of the Faculty of Natural, Mathematical & Engineering Sciences. He holds a PhD from Brunel University (2008) and conducted postdoctoral research at ICTP Trieste and LPTMS Orsay. His research focuses on Random Matrix Theory, Statistical Mechanics applied to socio-economic systems, and complexity science in legal frameworks. Key research interests include eigenvalue statistics, financial stability modeling, and legal system complexity. His work bridges physics, economics, and law, with recent projects exploring phase transitions in debt recycling and network-based legal visualization tools like Graphie. Major achievements include a UKRI Future Leaders Fellowship (2019) and over 50 peer-reviewed publications. He leads projects on legal system modeling and collaborates internationally on interdisciplinary topics.

Bart De MoorView profile

Professor

• Numerical Linear Algebra
• Optimization
• Algebraic Geometry
• +11 more

Bart De Moor is a Full Professor at the Department of Electrical Engineering, KU Leuven, Belgium, and a guest professor at the University of Siena. He leads the STADIUS research group and has supervised 85 PhD students. His roles include chairman of Health House (2016–present), member of the Board of VIB (Biotech Institute), and former Vice-Rector for International Policy (2009–2013). Education: Master Degree in Electrical Engineering (1983), KU Leuven PhD in Engineering (1988), KU Leuven Research Interests: His work spans numerical linear algebra, optimization, algebraic geometry, systems and control theory, data-driven AI, machine learning, and applications in process industry and biomedical big data. He has contributed to subspace identification, tensor decomposition, bioinformatics, and quantum computing. Publications Trends: His publications highlight subspace identification methods, tensor decomposition, bioinformatics, and biomedical data analysis. These reflect interdisciplinary advancements in control theory, quantum physics, and mathematical engineering, with applications in industrial and healthcare domains. Scientific Awards and Honors: Leslie Fox Prize (1989) Laureate of the Belgian Royal Academy of Sciences (1992) Bi-annual Siemens Award (1994) Fellow of IEEE (since 2004) Member of the Royal Academy of Belgium for Science and Arts (since 2000) Fellow of IFAC (since 2022) Commander in the Order of King Leopold I (2020) Fellow of SIAM (since 2017) FWO Excellence Award (2010) Advising and Grants: He has led a research group of 20 PhD students and postdocs, co-founded 8 spinoff companies, and secured the ERC Advanced Grant ‘Back to the roots’ (2020–2025). He also co-holds the KU Leuven Chair on healthcare systems (2018–present). Labs and Organizations: Active in the STADIUS research group (KU Leuven), he has served on boards of the Flemish Interuniversity Institute for Biotechnology (VIB), the Alamire Foundation, and the Health Tech Experience Center Health House. His spinoffs include Trendminer, Cartagenia, and Ugentec.

• Numerical Analysis
• Partial Differential Equations
• Finite Element Methods
• +3 more

Ngoc Tien Tran is a Junior Professor for Numerical Simulation at the Institute of Mathematics, Faculty of Mathematics, Natural Sciences and Technology, University of Augsburg since 2023. Previously, he was a Research Associate at Friedrich Schiller University Jena (2021-2023) and Humboldt University of Berlin (2018-2021). Dr. Tran's educational background includes: Doctorate in Mathematics, Humboldt University of Berlin (2021) Master of Mathematics, Humboldt University of Berlin (2018) Bachelor of Mathematics, Humboldt University of Berlin (2016) Dr. Tran's research focuses on advanced numerical methods for complex mathematical problems. His primary areas of interest include numerical methods for completely non-linear second-order PDEs , the convergence behavior of adaptive methods , nonstandard discretizations and hybridizable methods , and convex minimization and eigenvalue problems . His work bridges theoretical mathematics with practical computational techniques, developing innovative approaches to solve challenging problems in numerical analysis. Dr. Tran's publication record demonstrates a consistent focus on hybrid high-order methods and their applications to various mathematical problems. His recent work shows a progression from foundational methods to specialized applications in areas like the Monge-Ampère equation, eigenvalue problems, and convex minimization. A notable trend is his emphasis on guaranteed error control and stability analysis, reflecting a commitment to robust and reliable numerical methods. Dr. Tran is involved in research supported by the ERC Consolidator Grant and participates in the GAMM Workshop on Numerical Analysis and the One World Numerical Analysis Seminar. As a Junior Professor at the University of Augsburg, Dr. Tran advises students and contributes to the Numerical Mathematics research team. His teaching includes courses such as 'Finite elements in the calculus of variations' and a 'Seminar on Numerics' for Summer semester 2025. He is part of a vibrant research community that includes colleagues like Daniel Peterseim and Tatjana Stykel, as well as numerous research associates.

Jacques FurterView profile

Senior Lecturer

• Bifurcation Theory
• Singularity Theory
• Reaction-Diffusion Problems
• +2 more

Dr Jacques Furter is a Senior Lecturer in the Department of Mathematical Sciences at Brunel University , affiliated with the College of Engineering, Design and Physical Sciences. His expertise spans pure and applied mathematics, with a focus on bifurcation theory and singularity theory. Diplome de Mathematicien, Ecole Polytechnique Federale de Lausanne PhD Mathematics, Ecole Polytechnique de Lausanne His research explores symmetric bifurcation , singularity theories , and their applications in elasticity and reaction-diffusion systems. He combines analytical methods with numerical simulations and computer algebra for problem-solving. The 15 most recent publications highlight his work on equivariant symplectic maps, forced symmetry-breaking, and path formulation techniques. Keywords include Singularity Theory, Symplectic Geometry, and Dynamical Systems, with subfields like non-degenerate umbilics and Dn symmetry. Teaching modules include Linear Algebra , Analysis , and Differential and Integral Equations . He also mentors final-year and MSc. student projects on topics such as Plate Buckling and Population Harvesting.

• Mathematics
• Operator Theory
• Complex Analysis
• +5 more

Christer Glader is a Lecturer at the Department of Mathematics, Faculty of Science and Engineering, Åbo Akademi University. His research focuses on advanced mathematical problems in complex analysis, operator theory, and numerical analysis. Research Interests: Glader's work spans operator theory, complex analysis, and numerical methods, with a particular emphasis on Crouzeix's Conjecture, Blaschke products, and Riemann-Hilbert problems. His studies often bridge theoretical and applied mathematics, including 2D elasticity and pseudodifferential operators. Publication Trends: Glader's publications since the 1980s reflect a consistent focus on complex analysis and numerical methods, evolving toward matrix analysis and applied mathematics in recent works. Key topics include Blaschke products, Crouzeix's Conjecture, and Riemann-Hilbert problems. Contact: Email: christer.glader@abo.fi

Nicholas James McCleereyView profile

Assistant Professor

• Complex Geometry
• Differential Geometry
• Algebraic Geometry
• +1 more

Nicholas James McCleerey serves as an Assistant Professor in the Department of Mathematics at Purdue University's College of Science, specializing in complex geometry and nonlinear partial differential equations arising in geometric analysis. His academic background includes a Ph.D. from Northwestern University under Valentino Tosatti and postdoctoral research at the University of Michigan with Mattias Jonsson. McCleerey's research spans complex geometry , differential geometry , and algebraic geometry , with emphasis on Monge-Ampere equations , complex Hessian operators , and geodesic rays . He investigates singularities, tropical geometry, and Calabi-Yau manifolds using pluripotential theory and non-Archimedean methods. Analysis of his 14 publications (2018-2024) reveals concentrated work on singular solutions to Monge-Ampere equations in complex and real settings, eigenvalue problems for complex Hessian operators, and connections between tropical geometry and Calabi-Yau hypersurfaces, demonstrating evolving methodological sophistication. McCleerey actively mentors through the Math Alliance and supervises the Purdue Experimental Math Lab (PXML) project on numerical computation of Monge-Ampere eigenvalues. He co-organizes Purdue's Geometry and Geometric Analysis Seminar with Lvzhou Chen, fostering collaborative research in geometric analysis. His teaching portfolio includes undergraduate courses in Ordinary Differential Equations, Calculus, Linear Algebra, and Topology, reflecting strong commitment to mathematical education across foundational and advanced levels.

Kevin IgaView profile

Professor

• Mathematical Physics
• Supersymmetry
• Differential Topology
• +4 more

Kevin Iga is a Professor of Mathematics at Pepperdine University's Seaver College, part of the Natural Science Division. He has been teaching since 1998 and holds a PhD from Stanford University (1998) and dual BS degrees in Mathematics and Physics from MIT (1992). His research focuses on supersymmetry, particularly using Adinkra diagrams, differential topology, general relativity, and cryptography. He has contributed to geometric interpretations of supersymmetry algebras and combinatorial analysis of Adinkras. Iga serves as Public Information Officer for the MAA's Philosophy of Mathematics SIG and is active in professional organizations like the AMS, ASA, and MAA. His work spans over 25 years, with significant contributions to mathematical physics, including structural theory of Adinkras, cohomological applications, and cryptographic hardness problems. He teaches courses such as Algebraic Structures, Automata Theory, and Real Analysis. Iga is also involved in community activities, singing in the Pepperdine Concert Choir and participating in Malibu Presbyterian Church.

Ekin UĞURLUView profile

Professor

• Fractional Differential Equations
• Hamiltonian Systems
• Spectral Theory
• +4 more

Prof. Dr. Ekin UĞURLU is a Professor of Mathematics at the Faculty of Science, Çankaya University, Turkey. She holds a PhD in Mathematics from Ankara University (2014) and has been actively involved in academic roles since 2015, progressing through positions such as Research Assistant, Lecturer, and Associate Professor before becoming a full Professor in 2023. Her research focuses on fractional differential equations, Hamiltonian systems, spectral theory, and boundary value problems. She has led numerous projects, including studies on fractional operators and Sturm-Liouville systems. Her key contributions include groundbreaking work on dissipative operators, fractional calculus applications, and spectral analysis of differential systems. Notable achievements include the TÜBA-GEBİP 2023 Award for Outstanding Young Scientists. UĞURLU has supervised at least one master’s student (Atilla Aras) and has published extensively, with over 80 peer-reviewed articles. Her work appears in high-impact journals like Chaos, Solitons & Fractals and the Turkish Journal of Mathematics. Collaborations with researchers like Kenan Taş and Dumitru Baleanu highlight her interdisciplinary approach. Her teaching spans calculus, differential equations, and applied mathematics, reflecting her commitment to both research and education.

Linus WunderlichView profile

Lecturer

• Mathematical Finance
• Machine Learning
• Deep Neural Networks
• +6 more

Dr. Linus Wunderlich is a Lecturer in Financial Mathematics at Queen Mary University of London (QMUL), affiliated with the School of Mathematical Sciences. He holds a PhD in Hybrid Finite Element Methods for Non-linear and Non-smooth Problems in Solid Mechanics from Technical University Munich. His research focuses on integrating machine learning with numerical techniques in mathematical finance, including solving high-dimensional PDEs via neural networks and accelerating risk computations through Chebyshev interpolation. He also explores the theoretical foundations of AI and its applications in finance, engineering, and education. Linus teaches courses such as Mathematical Tools for Asset Management and Masterclass in Business Analytics , emphasizing practical machine learning skills for business contexts. His work spans computational finance, numerical analysis, and interdisciplinary projects including Olympic medal prediction models and violin bridge modeling from CT scans. Research grants include a £10,800 project with Numerical Algorithms Group Ltd on efficient volatility interpolation (2018–2019). He collaborates with institutions like LSE, Birkbeck, and University College Dublin, presenting at conferences such as SIAM Financial Mathematics and the German Probability & Statistics Days. His activities include developing interactive art projects and teaching machine learning courses during the pandemic. No scientific awards are explicitly mentioned in the provided texts. His research interests and publications reflect a blend of mathematical rigor and applied innovation, bridging finance, engineering, and education.

Erik Van VleckView profile

Professor

• Applied Mathematics
• Numerical Analysis
• Numerical Methods for PDEs
• +3 more

Erik Van Vleck is a Professor of Mathematics at the University of Kansas, affiliated with the College of Liberal Arts & Sciences. His research focuses on applied mathematics, numerical analysis, and numerical methods for partial differential equations (PDEs), with particular emphasis on data assimilation and reaction-diffusion systems. His work bridges theoretical advancements and practical applications in computational dynamics, environmental modeling, and ecological systems. Van Vleck’s research interests include multi-scale data assimilation techniques, adaptive mesh methods, and the numerical analysis of traveling wave solutions in discrete and continuous systems. He has contributed to understanding pattern formation in ecological models, particularly in savanna ecosystems and fire-driven dynamics. His methodological innovations span numerical methods for PDEs, reduced-order modeling, and stochastic filtering approaches for complex systems. His recent work highlights trends in developing robust adaptive frameworks for data assimilation, integrating advanced numerical techniques with real-world applications in geophysics and environmental science. This includes projects on metric tensor-based mesh adaptation and projected data assimilation using sliding window methods. His contributions to theoretical foundations include spectral stability analyses for discrete dynamical systems and bifurcation studies in reaction-diffusion equations. Van Vleck has collaborated extensively across disciplines, applying mathematical tools to ecological, climatological, and biomedical systems. His research often addresses computational challenges in high-dimensional spaces, emphasizing efficiency and accuracy in modeling complex phenomena. Despite the breadth of his contributions, no specific grants or advising roles are detailed in the provided materials.

Ilya KarlinView profile

Lecturer

• Fluid Dynamics
• Computational Fluid Dynamics
• Thermodynamics
• +3 more

Prof. Ilya Karlin is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zürich. His research focuses on advanced computational fluid dynamics, particularly leveraging lattice Boltzmann methods for simulating complex fluid phenomena. Key areas include non-ideal fluid behavior, multiphase flows, combustion processes, and hydrodynamic closures. He has contributed extensively to improving numerical methods for compressible flows, turbulent systems, and reactive mixtures in porous media. His work bridges kinetic theory with continuum mechanics, addressing challenges in hydrodynamic manifolds and non-local effects. Dr. Karlin's publications emphasize rigorous mathematical analysis alongside computational innovation, such as spectral closure techniques and entropy-based models. His research often explores the interplay between microscopic kinetic descriptions and macroscopic hydrodynamic equations. He has developed novel algorithms like the 'particles on demand' method for handling strong discontinuities in flows. Recent work includes studies on rarefaction effects, capillarity-viscosity balance, and exact hydrodynamic manifolds for BGK equations. His studies span diverse applications from microfluidics and phase transitions to detonation modeling and environmental fluid mechanics. While no specific awards are listed in the provided text, his prolific publication record indicates significant contributions to the field of computational fluid dynamics.

Michael LevitinView profile

Professor

• Spectral Theory
• Spectral Geometry
• Mathematical Physics
• +4 more

Michael Levitin is a Professor of Applied Mathematics at the Department of Mathematics and Statistics, University of Reading. He leads the Pure Mathematics Group and serves on the Departmental Research Committee. His research focuses on spectral theory, spectral geometry, and applications in mathematical physics, numerical analysis, and operator theory. Levitin holds a Candidate of Sciences (Ph.D.) from the Moscow Institute of Physics and Technology (1989), with a thesis on fluid-structure interactions. Prior to Reading, he held roles at Heriot-Watt University, Cardiff University, and Sussex University. His work includes foundational contributions to spectral asymptotics, non-self-adjoint operators, and geometric spectral theory. Key projects involve Pólya’s conjecture for eigenvalues, Steklov problems, and waveguide eigenmodes. He co-authored the textbook Topics in Spectral Geometry (2023) and frequently organizes international workshops, such as the 2026 Modern Applications of Microlocal Analysis conference honoring Dmitri Vassiliev. Levitin’s research integrates pure and applied mathematics, with applications in physics and engineering. Education: BSc+MSc (Applied Mathematics, Moscow Institute of Physics and Technology, 1986), PhD (1989). Employment History: University of Reading (2010–present), Cardiff University (2007–2010), Heriot-Watt University (1993–2007), University of Sussex (1992–1993). Research Interests: Spectral geometry of Laplace/Dirac/Maxwell operators, eigenvalue inequalities, numerical methods, and operator pencils. Collaborations include notable mathematicians like Iosif Polterovich, David Sher, and Matteo Capoferri. Grants and recognitions include EPSRC funding for microlocal analysis applications. Teaching includes Real Analysis and Complex Analysis courses at Reading. Publications span over 50 peer-reviewed papers in journals like Inventiones Mathematicae , SIAM Journal on Mathematical Analysis , and Journal of Spectral Theory . His work emphasizes interdisciplinary approaches, combining analytical techniques with numerical methods. Current projects include spectral asymptotics in linear elasticity and geometric wave propagators on manifolds.

Gregory MarkowskyView profile

Senior Lecturer

• Stochastic processes
• Complex analysis
• Graph theory

Gregory Markowsky serves as a Senior Lecturer in the School of Mathematics at Monash University, maintaining an active research profile with continuous publication output through 2025. His academic appointment shows no indication of part-time status, emeritus designation, or former staff classification. His research centers on three interconnected domains: Stochastic processes, particularly planar Brownian motion and random walk theory Complex analysis with applications to probabilistic models Graph theory focusing on algebraic and combinatorial structures These areas converge in his investigation of probabilistic phenomena with geometric interpretations. Recent publication trends reveal sustained productivity with 61 research outputs cataloged, including 4 articles in 2025 alone. His work demonstrates consistent methodological focus on stochastic analysis and combinatorial structures, with increasing cross-disciplinary applications in forensic science and econometrics as evidenced by 2024-2025 publications. Markowsky has secured three significant research projects funded by the Australian Research Council, including: "Planar Brownian motion and complex analysis" (2014-2017) as Primary Chief Investigator "Finite Markov chains in statistical mechanics and combinatorics" (2014-2017) "AMSI Industry Internship: Melbourne Storm" (2013) His ORCID profile (0000-0003-1656-337X) documents extensive scholarly activity with international collaborations. Professional engagement includes contributions toward UN Sustainable Development Goals through mathematical applications, though specific goal alignments aren't detailed in available materials. His email contact Greg.Markowsky@monash.edu remains active with current research dissemination.

• Calculus of Variations
• Partial Differential Equations
• Asymptotic Homogenization
• +3 more

Valeria Chiado' Piat is a Full Professor at Politecnico di Torino's Department of Mathematical Sciences (DISMA), holding the academic rank of Professor under Italian Law 240. She serves as a member of the Polito Social Center Coordination Committee and coordinates research networks including the Gnampa-INdAM project on variational problems in geometrically complex domains. Her research focuses on Calculus of Variations , Asymptotic Homogenization , and Elliptic Partial Differential Equations , with applications to multi-scale engineering structures, phase transitions, and transport problems. She leads the Nonlinear Analysis and Calculus of Variations research group within DISMA, specializing in theoretical PDE aspects for engineering models. Her recent publications demonstrate expertise in degenerate functionals, spectral gaps in water-wave systems, and stiff Neumann problems, reflecting strong activity in asymptotic methods for multi-scale analysis. The work consistently bridges abstract mathematical theory with concrete engineering applications. Professor Chiado' Piat actively participates in academic governance as a member of Electrical and Energy Engineering and Mathematical Engineering degree program committees. She has organized conferences including "Beyond Elasticity: Advances and Research Challenges" (2022) as program committee member.