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Stephen P. ShipmanView profile

Professor

• Spectral Theory
• Electromagnetic Resonance
• Meta-Materials
• +5 more

Stephen P. Shipman is a Professor and Director of Graduate Studies in the Department of Mathematics at Louisiana State University (LSU), within the College of Science. His research focuses on the mathematics of wave phenomena, particularly in composite media, with emphasis on spectral theory, electromagnetic resonance, meta-materials, and nonlinear dispersive systems. He has held academic roles at LSU since 2002, including Visiting positions at institutions like the Institute for Mathematics and its Applications (IMA) and the Institut Élie Cartan. His education includes a Ph.D. in Mathematics from the University of Arizona under Nicholas Ercolani. Shipman’s research spans theoretical and applied mathematics, addressing problems in wave scattering, quantum graphs, and periodic media. His recent work includes studies on Fermi surfaces in multi-layer quantum graphs and defect states in bilayer graphene. He has advised numerous graduate and undergraduate students, leading projects on topics such as resonance in waveguides and metamaterials. His funding includes five NSF grants and support from the LSU Board of Regents. Shipman has received multiple teaching awards, including the 2024 LSU Distinguished Faculty Teaching Award and the 2012 N. A. Khizhnyak Award for contributions to electromagnetic theory. He serves as an Associate Editor for SIAM Journal on Applied Mathematics and has organized conferences like the UH-TAMU-LSU Undergraduate Math Conference. His lab collaborates on projects such as the Math Consultation Clinic , engaging undergraduate students in applied research.

Jiuyi ZhuView profile

Associate Professor

• Partial Differential Equations
• Harmonic Analysis
• Spectral Theory
• +4 more

Jiuyi Zhu is an Associate Professor in the Department of Mathematics at Louisiana State University (LSU). His research focuses on partial differential equations, harmonic analysis, spectral theory, and geometric analysis. Specific interests include geometric properties of eigenfunctions, quantitative uniqueness of PDE solutions, elliptic homogenization, nonlinear PDEs, and geometric inequalities. Dr. Zhu has an extensive publication record in top journals such as Archive for Rational Mechanics and Analysis, SIAM Journal on Mathematical Analysis, and Communications in Partial Differential Equations. His work often bridges theoretical analysis with applications in mathematical physics and spectral geometry. Recent research trends emphasize spectral inequalities, quantitative unique continuation, and nodal set analysis in elliptic equations and Schrödinger operators. Outreach activities include demonstrations of Chladni patterns, K-12 math outreach, and undergraduate projects on vibrations and isoperimetric inequalities. His contributions to the field include groundbreaking studies on doubling inequalities, critical sets in periodic homogenization, and boundary value problems for eigenfunctions. While no specific grants or awards are listed, his work reflects sustained engagement with foundational and applied aspects of PDE theory.

• Differential Geometry
• Algebraic Topology
• Critical Point Theory
• +3 more

Cornel Pintea is an Associate Professor at the Department of Geometry within the Faculty of Mathematics and Computer Science at Babeş-Bolyai University, Cluj-Napoca, Romania. His academic journey includes a B.Sc. and Ph.D. from Babeş-Bolyai University and West University of Timişoara, respectively. He has held postdoctoral fellowships in France and Poland under EU-supported networks in Geometric Analysis. His research focuses on differential geometry, topology, critical point theory, and convex analysis. He has authored several textbooks and contributed to peer-reviewed journals. Pintea is a member of the Romanian Mathematical Society and the Balkan Society of Geometers. Education: B.Sc. (1991): Babeş-Bolyai University, Mathematics Ph.D. (1996): West University of Timişoara, Mathematics Research Interests: Pintea’s work spans critical point theory, differential geometry, convex geometry, and operator monotonicity. He has explored global injectivity conditions, topological criticality, and manifold mappings. His recent studies include convex decompositions, generalized monotone operators, and properties of closed convex sets. His contributions address foundational problems in geometric analysis and nonlinear functional analysis. Professional Activities: Pintea has participated in multiple research projects, including the EU-funded Geometric Analysis Network (2000–2004) and national initiatives on variational problems and equilibrium theory. His teaching spans algebraic topology, differential geometry, and linear algebra. Labs/Teams: Collaborations include work with Prof. G. Kassay on monotone operators and with Prof. M. Kohr on boundary value problems. His research often intersects with geometric analysis and applied mathematics.

Adam LutoborskiView profile

Professor

• Weak convergence methods
• Nonlinear variational problems
• Homogenization methods
• +1 more

Adam Lutoborski is a Professor in the Department of Mathematics at Syracuse University. He earned his M.Sc. in Mathematics from the University of Warsaw (1974) and a Ph.D. in Applied Mathematics from the Polish Academy of Sciences (1981). His academic career includes visiting positions at the University of Paris VI, Cornell University, and the Institute for Advanced Study. Education M.Sc., Mathematics, University of Warsaw (1974) Ph.D., Applied Mathematics, Polish Academy of Sciences (1981) Research focuses on: Weak convergence methods in nonlinear variational problems Homogenization methods Microstructure in nonlinear elasticity Recent publications include work on Discrete Fourier Transform tensors and eigenvalues (2022), contributing to fields like Numerical Analysis and Mathematical Modeling. He has held funded research positions through the Air Force Office of Scientific Research and been invited to lecture at institutions including Cornell, Carnegie Mellon, and the Institute for Advanced Study.

Yang WangView profile

Professor

• Structural Health Monitoring
• Wireless and Mobile Sensors
• Structural System Identification
• +5 more

Dr. Yang Wang is a Professor in the School of Civil and Environmental Engineering at the Georgia Institute of Technology. His research focuses on structural health monitoring, wireless sensors, structural system identification, and decentralized control. He leads the Laboratory for Smart Structural Systems, developing technologies to enhance civil infrastructure resilience. Notable awards include the NSF CAREER Award (2012), AFOSR Young Investigator Award (2013), and the Achenbach Medal (2017). His work integrates wireless sensing and control systems for real-time infrastructure monitoring, validated through collaborations with institutions like National Taiwan University and KAIST. Key contributions include decentralized H∞ control frameworks and the Martlet wireless sensing system. Research spans structural dynamics, earthquake engineering, and smart cities. Over 50 peer-reviewed articles detail advancements in model updating, sensor networks, and robotic inspection. Awards include: NSF CAREER Award (2012) AFOSR Young Investigator Award (2013) Achenbach Medal (2017) His lab’s innovations include wireless sensor networks for bridges, ultrasonic thickness measurement robots, and open-source tools like the SMU MATLAB package for model updating. Active in editorial roles, he serves as Associate Editor for Structural Health Monitoring – an International Journal .

• Fluid Mechanics
• Machine Learning
• Chaotic Systems
• +3 more

Luca Magri is a Reader in Data-Driven Fluid Mechanics at Imperial College London's Department of Aeronautics. He holds affiliations as a Fellow of The Alan Turing Institute and a Hans Fischer Fellow at the Technical University of Munich (TUM). His research focuses on physics-constrained machine learning, chaotic systems, and fluid mechanics. Magri’s work bridges computational methods with fluid dynamics, addressing challenges in turbulence, combustion, and acoustics through innovative approaches like reservoir computing and adjoint-based optimization. Education & Career PhD in Engineering, University of Cambridge (2015) Postdoctoral Fellow, Stanford University Center for Turbulence Research (2015–2017) Lecturer at Cambridge University Engineering Department (2017–2018) Current: Reader at Imperial College London since 2018 Research Interests Magri’s research integrates machine learning with fluid dynamics to model chaotic systems, optimize combustion processes, and analyze turbulence. Key areas include: Physics-informed neural networks for extreme event prediction Adjoint-based methods for thermoacoustic stability Bayesian data assimilation in nonlinear systems Publications & Awards His impactful work has been recognized with awards such as the ERC Starting Grant (2019), Royal Aeronautical Society Fellowship (2022), and multiple fellowships from Stanford and Cambridge. Over 50 publications span journals like Journal of Fluid Mechanics and Proceedings of the Royal Society A . Grants & Collaborations Magri leads projects funded by the EU Horizon 2020, UKRI, and the ERC. He collaborates globally, including with TUM’s Institute for Advanced Study and Cambridge’s Engineering Department.

Annick SartenaerView profile

Professor

• Optimization
• Nonlinear Programming
• Algorithms
• +3 more

Annick Sartenaer is a Professor at the University of Namur, affiliated with the Department of Applied Mathematics and Complexity. She holds a Doctor of Science degree (1991) and an HDR (1999). Her research focuses on optimization algorithms, nonlinear programming, and numerical methods, with contributions to trust region methods, constrained optimization, and convergence analysis. She leads and collaborates on projects such as MASTERMIND2 (2021–2026), focusing on meta-model-based optimization, and has extensive experience in complex systems and interdisciplinary research. Her work spans theoretical advancements and practical applications in fields like environmental modeling and digital communication. Key projects include the development of optimization algorithms for medical imaging (2013–ongoing) and data assimilation techniques (2011–ongoing). She actively participates in academic activities, including conferences, workshops, and international collaborations. Her research aligns with sustainable development goals, particularly in education and complex problem-solving. Annick has supervised 83 academic works and contributed to over 40 research outputs. She is involved in academic governance and international partnerships, including a visiting appointment at the Institut Supérieur de Pédagogie de Bukavu (2016). Her work emphasizes bridging theoretical research with real-world applications, particularly in resource management and technological impact analysis.

Robert AltmannView profile

Professor

• Partial Differential Algebraic Equations
• Poroelastic Equations
• Dynamic Boundary Conditions
• +4 more

Prof. Robert Altmann is a Professor of Numerical Mathematics at the Otto von Guericke University Magdeburg, leading the Institute for Analysis and Numerical Analysis (IAN). He holds a PhD from TU Berlin and has held academic positions at institutions including the University of Augsburg and TU Berlin. His research focuses on numerical methods for partial differential equations, particularly PDAEs, poroelasticity, dynamic boundary conditions, and energy-based modeling frameworks like port-Hamiltonian systems. Education and Career: Bachelor's/Master's in Mathematics, Humboldt University Berlin (2007–2011) Research Stay at École des Ponts ParisTech (2011) Research Associate at TU Berlin (2011–2017) Academic Councillor at University of Augsburg (2017–2023) Research Interests: His work emphasizes numerical analysis for complex systems, including: Development of robust discretization schemes for PDAEs and poroelastic networks Energy-preserving methods for dynamic boundary value problems Riemannian optimization techniques for quantum systems Model reduction and multiscale methods for heterogeneous materials Grants and Projects: DFG Project: Decoupled computational methods for nonlinear parabolic problems (2020–2023) DFG Project: Higher-order decoupling integration schemes for poroelastic networks (2021–2024) DFG Project: Wave-type problems with non-standard boundary conditions (2024–2026) Awards and Recognition: Member of GAMM Juniors (2014) Dr.-Klaus-Körper Prize (GAMM, 2016) 2nd Tiburtius Prize (Berlin Universities, 2016) Team and Collaborations: His research group includes Dr. Afsaneh Moradi, Dr. Riccardo Morandin, and Jochewed Schmeck, focusing on computational methods for coupled systems and energy-based modeling.

Jens RademacherView profile

Professor

• Applied Mathematics
• Applied Dynamical Systems
• Dynamics of Differential Equations
• +5 more

Prof. Jens Rademacher holds the Chair of Applied Dynamical Systems at the Department of Mathematics, University of Hamburg, within the Faculty of Mathematics, Computer Science and Natural Sciences. His research focuses on applied mathematics with a particular emphasis on dynamical systems theory, nonlinear differential equations, and their applications in geophysical fluid dynamics, reaction-diffusion systems, and pattern formation. Key research areas include the dynamics of ordinary/partial differential equations, pattern formation in nonlinear systems, bifurcation theory (heteroclinic/homoclinic), and applications in fluid dynamics and materials science. He leads projects funded by the German Research Foundation (DFG), including the Research Training Group 2583 on fluid dynamics modeling and the Collaborative Research Center TRR 181 on energy transfers in ocean-atmosphere systems. Recent Projects: DFG Research Training Group GRK2583: Modeling, Simulation and Optimization of Fluid Dynamic Applications DFG SFB/TRR 181: Energy transfers in ocean and atmosphere Specialized Expertise: Stability analysis of nonlinear waves, bifurcation unfolding in PDEs, and numerical methods for dynamical systems. He has developed the pde2path software package for continuation and bifurcation analysis of 2D elliptic systems. His work bridges theoretical mathematics with applied problems in geophysics and materials science, often involving interdisciplinary collaborations. Office: Room 140, Geomatikum Building, Bundesstraße 55, Hamburg. Contact: jens.rademacher@uni-hamburg.de .

Izaak NeriView profile

Senior Lecturer

• Statistical Mechanics
• Biological Physics
• Non-Equilibrium Thermodynamics
• +7 more

Dr. Izaak Neri is a Senior Lecturer in Disordered Systems at the Department of Mathematics, King's College London, within the Faculty of Natural, Mathematical & Engineering Sciences. He obtained his PhD in Theoretical Physics from KU Leuven (2010) and held postdoctoral positions at the University of Montpellier, and the Max Planck Institutes for Molecular Cell Biology and Genetics and Physics of Complex Systems. His research focuses on statistical physics, mathematical physics, and biological physics, particularly non-equilibrium thermodynamics, sparse non-Hermitian random matrices, and network dynamics. He explores phase separation in biological systems, spin glass theory, and ecosystem stability using tools from statistical mechanics and stochastic processes. Education: PhD in Theoretical Physics (KU Leuven, 2010), MSc in Physics (Ghent University, 2005) Awards: APS Outstanding Referee (2020), Irwin Oppenheim Award (2024) Key Research Themes: Complex networks, random matrices, biological physics, nonequilibrium systems His work bridges theoretical frameworks and applications, such as modeling cytoskeletal transport and analyzing entropy production in Markov processes. He contributes to understanding how network structure influences dynamical systems and develops methods for studying large sparse systems. Current projects include phase separation in multicomponent biological mixtures and stability analysis of predator-prey networks.

Beatrice PelloniView profile

Professor

• Partial Differential Equations
• Nonlinear Problems
• Boundary Value Problems
• +3 more

Beatrice Pelloni is a Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, specializing in the Department of Mathematics. Her research focuses on partial differential equations (PDEs), integrable systems, and nonlinear phenomena, with contributions to boundary value problems, dispersive equations, and applications in geophysical fluid dynamics. She has pioneered methods for solving evolution PDEs using the Fokas transform, and her work bridges theoretical analysis with computational techniques. Her research interests include integrable systems, dispersive wave equations, and mathematical physics, with particular emphasis on revivals in PDE solutions and optimal transport methods. She has collaborated internationally, contributing to the European Mathematical Society Young Academy (EMYA) and advancing collaborative research in applied mathematics. Pelloni's recent work explores revival phenomena in linear and nonlinear dispersive equations, periodic boundary conditions, and the application of geometric methods to atmospheric models like the Eady slice equations. Her articles span theoretical developments and numerical implementations, emphasizing interdisciplinary impact in fluid dynamics and mathematical physics. Her contributions have been recognized through editorial roles in journals and conference proceedings, reflecting her leadership in advancing the study of boundary value problems and integrable systems.

• Partial Differential Equations
• Calculus of Variations
• Shape Optimization
• +4 more

Carlo Nitsch is a Full Professor in Mathematical Analysis at the University of Naples Federico II, affiliated with the Dipartimento di Matematica e applicazioni 'R. Caccioppoli'. His research focuses on partial differential equations, calculus of variations, shape optimization, and geometric inequalities. He holds a Master's in Physics and a PhD in Mathematics from the University of Naples and the University of Rome, respectively, with a visiting period at Lawrence Berkeley National Lab (2002–2003). He coordinates the PhD program in Mathematics and Applications and serves on the board of the MPHS PhD program at Scuola Superiore Meridionale. Notable awards include the Carlo Miranda Prize (2008) and an Alexander von Humboldt Fellowship (2013). He has been honored as a member of Accademia Pontaniana (2022) and the Accademia di Scienze Fisiche e Matematiche (2024). His work spans theoretical contributions to eigenvalue problems, free boundary phenomena, and optimal design, with applications in material science and engineering. Recent research emphasizes spectral geometry, thermal insulation optimization, and multiplicative controllability of PDEs. Key publications address isoperimetric inequalities, Robin boundary conditions, and shape optimization in thermal systems. He actively organizes conferences and workshops, such as the 'Frontiers in Calculus of Variations and Applied Analysis' (2025) and 'Matter of Shapes' (2025 INDAM Workshop). His collaborative projects include studies on mean curvature flow and numerical methods for free boundary problems.

Arnaud KnippelView profile

Lecturer

• Network Design and Optimization
• Mathematical Programming
• Graph Theory
• +8 more

Arnaud Knippel is a Lecturer in the Department of Mathematical Engineering at INSA. He has been responsible for internships in the GM department since 2015 and is a member of the GM Department Council. His research focuses on network design and dimensioning using mathematical programming and graph theory, with applications in telecommunications, transport, logistics, electricity, physics, and chemistry. He also explores the intersection of Operations Research (RO), Artificial Intelligence (AI), and Data Science, particularly in partitioning/classification problems and subgraph isomorphism for pattern recognition. Knippel has coordinated major research projects such as XTerM (2016-2019, as INSA’s scientific coordinator) and Fractal Grid (2016-2019), both funded by ANR and FEDER. He contributed to CLASSE2 (2016-2018) and PLURADYS (2015), a health-focused classification project. His doctoral supervision includes Zacharie Ales (co-advised with LITIS & C. Gout), S. Benhida (co-supervised with ENSA Agadir), and I. Khames (with JG Caputo). His research interests emphasize theoretical and applied aspects of graph theory, optimization, and AI. Projects like XTerM and Fractal Grid highlight his work on network oscillations and electrical grid design, respectively. Despite no explicit mention of scientific awards, his extensive publication record and project involvement underscore his academic contributions.

• Partial Differential Equations
• Nonlinear Analysis
• Mathematical Analysis
• +3 more

Guillaume Warnault is a Lecturer at the University of Pau and Pays de l'Adour since September 2010, affiliated with the Analysis, Geometry and Applications research team within the Laboratory of Mathematics and their Applications (LMAP). Previously, he held a Temporary Teaching and Research Associate position at François Rabelais University, Tours (2009-2010) following doctoral studies at the University of Picardie Jules Verne. Education: Doctorate in Mathematics, University of Picardie Jules Verne, Amiens (2006-2009). Thesis: "Stable solutions for semilinear elliptical PDEs involving the biharmonic operator". Research Focus: His work centers on nonlinear partial differential equations , particularly elliptic and parabolic systems , biharmonic operators , and problems with variable exponents . Key contributions include blow-up analysis for quasilinear systems, regularity theory for fractional Laplacian equations, and bifurcation phenomena in singular biharmonic problems. His research bridges pure analysis with applications in fluid dynamics and mathematical physics. Publication Trends: Recent work (2016-2022) shows deepening specialization in p(x)-homogeneous operators and fractional calculus , with increasing collaboration intensity. Over 80% of his publications involve co-authors Giacomoni and Arora, reflecting sustained research partnerships. His output demonstrates methodological consistency in applying variational techniques to nonlinear PDEs while expanding into emerging areas like doubly nonlinear systems. Academic Leadership: Warnault serves as program director for the Master's in Mathematics, Modeling and Simulation (MMS) since 2023 and previously directed the MAISHS undergraduate program (2019-2023). He has supervised six Master's theses and co-directed Rakesh Arora's PhD (2017-2020). As an elected laboratory council member since 2012 and former committee of experts member (2012-2020), he actively shapes institutional research strategy. Research Environment: Based at the IPRA Building in Pau, he contributes to LMAP (UMR 5142), a CNRS-affiliated laboratory fostering interdisciplinary work in mathematical analysis and its applications through the Analysis, Geometry and Applications team.

Sara PollockView profile

Associate Professor

• Numerical Analysis
• Scientific Computing
• Nonlinear Partial Differential Equations
• +5 more

Sara Pollock is an Associate Professor in the Department of Mathematics at the University of Florida, affiliated with the College of Liberal Arts and Sciences. Her research focuses on numerical analysis, efficient solvers for nonlinear and eigenvalue problems, finite element methods, and scientific computing. She holds an NSF CAREER Award for her work on extrapolation methods for eigenvalue problems. Research interests include design/analysis of iterative methods for nonlinear PDEs, uniqueness of discrete solutions, and goal-oriented adaptivity for multiscale problems. Her work is supported by NSF grants DMS-2011519 (collaborative with Clemson University) and DMS-1852876. She advises current graduate students Michelle Baker and Christian Austin, and has mentored PhD graduates Rhea Shroff and Matt Dallas. Pollock also contributes to computational geometry through inverse-kinematic algorithms and serves in editorial roles. Her research group hosts the Numerical Analysis Research Group and the Seminar on Applied and Numerical Analysis (ANA).