جست‌وجوی استاد و پژوهشگر

Francisco de Asis Guil Asensioمشاهده پروفایل

استاد

• Partial Differential Equations
• Dynamical Systems and Ergodic Theory
• Integrable Systems
• +۴ مورد دیگر

Francisco de Asis Guil Asensio is a Professor at the Faculty of Informatics , Universidad de Murcia , with a research focus spanning partial differential equations , integrable systems , and quantum theory . He holds a PhD in Mathematics (1996) from Universidad de Murcia, with a thesis on automorphism groups and Picard groups of finite-dimensional algebras. Education : PhD in Mathematics, Universidad de Murcia (1996) Thesis: "El grupo de automorfismos y el grupo de Picard de un álgebra finitodimensional" Research Interests : Specializing in soliton equations , nonlinear wave phenomena , and geometric methods in physics , his work bridges mathematical physics and applied mathematics . Key contributions include studies on Dirac-KP correspondence , twistor solutions , and quantum lattice states under magnetic fields. Publications (2007–1980): 15 major works on integrable hierarchies, geometric PDE reductions, and quantum systems. Articles explore topics like dromion deformations , self-dual Yang-Mills , and Heisenberg subalgebras in AKNS systems. Collaborations : Frequent co-authorship with Manuel Mañas on integrable systems (21 joint papers) and Luis Martínez Alonso on Whitham hierarchies. His work is cited in 57 documents across 28 serials. Technical Contributions : Developed spectral methods for Davey-Stewartson equations, applied Grassmannian geometry to soliton hierarchies, and formulated Banach-Lie group frameworks for infinite-dimensional integrability.

• Analysis of PDE
• Numerical Analysis of PDE
• Geometric Analysis
• +۳ مورد دیگر

Dr. Heiko Kroener is a Researcher at the University of Duisburg-Essen , affiliated with the Faculty of Mathematics and the Department of Mathematics . Since 2019, he has been conducting postdoctoral research in Professor Paola Pozzi's DFG-funded project, Flow of elastic networks . His research focuses on Analysis of PDE , Numerical Analysis of PDE , and Geometric Analysis , particularly in curvature flows, finite element methods, and geometric evolution equations. He earned his PhD in Mathematics from Heidelberg University in 2012. Prior to his current position, he held postdoctoral roles at the University of Tübingen, WIAS Berlin, the University of Hamburg, and the University of Freiburg. His work has been recognized with awards such as the First Prize in the Bundeswettbewerb Mathematik (high school mathematics competition), a scholarship from the German National Academic Foundation (2005–2007), and a Postdoctoral Fellowship at WIAS Berlin (2014). His research explores topics like anisotropic curvature flows, inverse mean curvature flow, and numerical methods for PDEs on surfaces. Key contributions include studies on error estimates for finite element approximations and gradient estimates for curvature flows in curved manifolds. Key Research Themes : Curvature flows, geometric PDEs, numerical analysis, and surface PDEs. Selected Grants : Participates in a DFG project on elastic network flows. Professional Activities : Invited speaker at workshops on curvature energies and interfaces (2016–2017).

Brad Darrallمشاهده پروفایل

دانشیار

• Computational Mechanics
• Applied Mechanics
• Finite Element Methods
• +۵ مورد دیگر

Brad Darrall is an Associate Professor of Teaching in the Department of Mechanical and Aerospace Engineering at the University at Buffalo. He serves as the Faculty Advising Coordinator within the School of Engineering and Applied Sciences. His research focuses on computational and applied mechanics, including finite element methods, variational approaches, multphysic continuum dynamics, and size-dependent continuum theories. Education: PhD in Mechanical Engineering, University at Buffalo (2016) MS in Mechanical Engineering, University at Buffalo (2015) BS in Mechanical Engineering, University at Buffalo (2011) Research interests include advanced finite element formulations for anisotropic materials, coupled thermomechanical systems, and electromechanical phenomena in piezoelectric materials. His work emphasizes variational principles and their integration with numerical methods for solving complex engineering problems. Key awards include the SEAS Teaching Faculty of the Year (2022), Vanderhoef Faculty Award for Excellence in Mentorship (2021), and Tau Beta Pi Professor of the Year (2017). His NSF Graduate Research Fellowship (2011–2015) supported foundational work in computational mechanics. Advising and grants: While no specific grants are listed, his mentorship is highlighted through awards. He advises students through his teaching and advising roles but no formal advisees are named in the text.

• Mathematical Biology
• Partial Differential Equations
• Tumor Growth Modeling
• +۴ مورد دیگر

Dr. Abramo Agosti is a Researcher in the Mathematical Analysis and Applications group at the University of Pavia. His work develops mathematical frameworks for biological and physical systems, specializing in tumor growth modeling, biomechanics, and computational neuroscience applications. He creates phase-field models using Cahn-Hilliard equations to simulate tumor evolution under mechanical constraints and microenvironmental interactions. His recent research establishes energy-variational solutions for viscoelastic fluids and analyzes large deformations in elastic materials. He co-develops the Deep Anatomical Federated Network (Dafne) for collaborative medical image segmentation. His glioblastoma models integrate radiological data to predict spatial progression patterns. Dr. Agosti's computational approaches bridge mathematical analysis with clinical applications, particularly in neuro-oncology where his models incorporate patient-specific imaging data to simulate brain tumor mechanics and growth dynamics.

Fouad Teymourمشاهده پروفایل

استاد

• Polymer Reaction Engineering
• Nonlinear Dynamics
• Biomedical Engineering
• +۴ مورد دیگر

Fouad Teymour is the S.C. Johnson Professor of Chemical Engineering and Director of the Center for Complex Systems and Dynamics at Illinois Institute of Technology. He holds affiliations with multiple interdisciplinary centers, including the Pritzker Institute of Biomedical Science and Engineering. His research focuses on polymer reaction engineering, nonlinear dynamics, and biomedical applications of hydrogels. Education: Ph.D. (Chemical Engineering, University of Wisconsin-Madison, 1989); M.S. and B.S. (Cairo University, Egypt, 1982 and 1979). Research Interests: Hydrogel nanoparticles for drug delivery (e.g., sepsis prevention, biofilm suppression) Nonlinear polymerization modeling and high-temperature polymerization Agent-based systems for complex process control Biological engineering for food/energy security (e.g., algae photobioreactors) Publications: Over 80 peer-reviewed articles, emphasizing interdisciplinary applications of polymer science in healthcare, environmental engineering, and complex systems analysis. Collaborations: Active partnerships with clinicians and biomedical engineers on gut pathogen mitigation and biomaterials development. Labs/Teams: Leads the Polymer Reaction Engineering Lab and collaborates with the Center for Sports Innovation.

Marin MARINمشاهده پروفایل

استاد

• Optimal Control
• Thermoelasticity
• Microstructure Analysis
• +۳ مورد دیگر

Marin MARIN is a Professor at the Department of Mathematics and Computer Science , part of the Faculty of Mathematics and Computer Science at the Technical University of Banat. His research focuses on advanced mathematical modeling in thermoelasticity, optimal control, and microstructure analysis, with a particular emphasis on fractional calculus and nonlocal effects in materials. He has contributed extensively to topics such as Cosserat bodies, porous media, and viscoelastic systems. Key research interests include the development of novel mathematical frameworks for analyzing thermal and mechanical interactions in complex materials, including functionally graded materials, nanobeams, and porous structures. His work often integrates advanced numerical methods and fractional-order models to address challenges in heat transfer, wave propagation, and structural stability. Marin’s publications span high-impact journals such as Continuum Mechanics and Thermodynamics and Acta Mechanica , with a focus on boundary value problems, variational principles, and the application of multi-phase-lag models. His research bridges theoretical mechanics with practical engineering applications, particularly in semiconductor materials and composite systems. Despite his prolific output, no specific academic awards or student advisement details are explicitly mentioned in the provided text. His work continues to explore interdisciplinary challenges at the intersection of mathematics, materials science, and mechanical engineering.

Vahagn Manukianمشاهده پروفایل

دانشیار

• Applied Dynamical Systems
• Nonlinear Waves
• Partial Differential Equations (PDEs)
• +۳ مورد دیگر

Vahagn Manukian is an Associate Professor in the Department of Mathematics at Miami University. He also serves as an Adjunct Professor at North Carolina State University and has held leadership roles, including Chair of the Department of Mathematical and Physical Sciences and Interim Chair of Engineering Technology at Miami University. He holds a Master of Arts in Mathematics from SUNY at Buffalo and a Ph.D. in Mathematics from Ohio State University. His research focuses on applied dynamical systems, nonlinear wave behavior, and partial differential equations, particularly in the context of traveling wave solutions and their stability. Manukian has been recognized with several awards, including a Collaboration Grant from the Simons Foundation (2012–2018) and multiple NSF DMS awards supporting conferences in differential equations. He has also received funding from the Institute for Mathematics and its Applications (IMA). In addition to his academic roles, he has advised students such as H. Cai, J. Waldmann, and others. His work often involves collaborations, evident in his co-authored publications and grant activities.

• Primate Behavior
• Evolutionary Anthropology
• Cognitive Ethology
• +۴ مورد دیگر

Roman Wittig is a Senior Scientist (W2) and Research Group Leader at the Max Planck Institute for Evolutionary Anthropology, leading the Taï Chimpanzee Project in Côte d'Ivoire. He co-initiated the Evolution of Brain Connectivity Project and is a member of the DFG Researcher Unit SoHaPi. His work focuses on the evolutionary roots of social organization, cooperation, and cognition in primates, particularly chimpanzees and bonobos. Education: 2004: Dr. rer. nat. in Biology, University of Leipzig & Max Planck Institute for Evolutionary Anthropology 1996: Diplom in Biology, University of Bielefeld Research Interests: Wittig investigates the costs and benefits of group living in primates, hormonal mechanisms underlying social bonds, and cognitive adaptations promoting cooperation. He employs field experiments and non-invasive hormonal analysis to explore how sociality impacts life history and health. His comparative approach spans multiple primate species and populations, including chimpanzees, bonobos, baboons, and mangabeys. Articles Summary: Recent work includes studies on chimpanzee brain connectivity, vocal communication complexity, and the evolution of tool use. These highlight the role of social learning, cultural transmission, and environmental pressures in shaping primate behavior and cognition. Scientific Awards: 2018: Max Planck Synergy Research Group Leader (Evolution of Brain Connectivity) 2012: Young Investigator Award (Society of Behavioral Neuroendocrinology) 2006: DFG Research Fellowship Grants & Advising: Wittig leads major grants totaling over €2 million, including Max Planck and DFG funding. He advises PhD students studying chimpanzee communication, tool use, and health. His lab collaborates internationally, integrating fieldwork with neuroimaging and genetic analyses. Labs/Teams: The Wittig & Crockford Lab hosts interdisciplinary researchers exploring primate behavior, cognition, and ecology. Key collaborations include the Taï Chimpanzee Project, the Pan-Pan Comparison initiative, and the Evolution of Brain Connectivity Project.

• Nonequilibrium Statistical Mechanics
• Biophysics
• Colloidal Self-Assembly
• +۳ مورد دیگر

Avishek Das is a Postdoctoral Researcher at AMOLF in the Biochemical Networks group. He investigates nonequilibrium self-organization in living and autonomous systems, focusing on bacterial chemotaxis and information processing in noisy environments. His work integrates reinforcement learning and optimal control strategies to model rare dynamical events in nonequilibrium systems. Prior to AMOLF, he completed his PhD under Prof. David Limmer at UC Berkeley, developing novel numerical methods for sampling rare fluctuations in nonequilibrium systems. He co-founded a mathematics bootcamp for chemistry PhD students, underscoring his commitment to interdisciplinary education. His research bridges statistical mechanics, materials science, and biophysics. Key themes include colloidal self-assembly, active matter, and algorithmic design for nonequilibrium processes. His publications span topics from nanocrystal superlattices to variational path sampling techniques. Current projects explore how information flow constrains bacterial performance in nutrient gradients, applying autonomous machine frameworks to biological systems.

Kartik Iyerمشاهده پروفایل

استادیار

• Atmospheric Physics
• Turbulence
• Thermal Convection
• +۴ مورد دیگر

Kartik Iyer is an Assistant Professor jointly appointed in the Department of Physics and Department of Mechanical and Aerospace Engineering at Michigan Tech. He earned his PhD in Aeronautics from the Georgia Institute of Technology, followed by postdoctoral appointments at the University of Rome and New York University. Research focuses on Atmospheric Physics, Turbulence, Thermal Convection, and Numerical Simulations. Director of the Iyer Research Lab , specializing in supercomputing and turbulent flow analysis. His scientific work spans turbulence theory, scalar transport, and computational methods, with over 15 recent publications in top-tier journals. Key areas include the Zeroth Law of Turbulence, circulation statistics, bifractal scaling, and subgrid-scale modeling. Despite his focus on high-performance computing, no specific awards or honors are mentioned in the provided data. Dr. Iyer teaches courses related to atmospheric physics and heat transfer, emphasizing interdisciplinary approaches between physics and engineering disciplines.

• Optimal Transport
• Partial Differential Equations
• Functional Analysis
• +۳ مورد دیگر

Simone Di Marino is an Associate Professor at the University of Genova, specializing in mathematical analysis and optimal transport. His research focuses on optimal transport theory, partial differential equations, and functional analysis, with contributions to calculus of variations and mathematical physics. Education: PhD in Mathematics (2014) Master's/Undergraduate Degree in Mathematics (2012) Research Interests: Optimal Transport with applications to physics and biology Analysis of PDEs (e.g., Fokker-Planck, Hele-Shaw models) Functional Analysis (Sobolev/BV spaces on metric measure spaces) Geometric Analysis (manifolds, metric geometry) Publications: Recent work includes advances in Wasserstein space algorithms, multi-marginal transport, and semiclassical limits. Key contributions address particle approximation, gradient flows, and convexity properties in quantum systems. Grants/Awards: Supported by the Simons Foundation. No explicit awards listed. Professional Activities: Organized conferences like 'Calculus of Variations and Free Boundary Problems' Co-organizer of workshops on optimal transport and machine learning

Giuseppe Savaréمشاهده پروفایل

استاد

• Mathematical Analysis
• Optimal Transport
• Gradient Flows
• +۴ مورد دیگر

Giuseppe Savaré is a Full Professor of Mathematical Analysis at the Department of Mathematics, University of Pavia, and a Hans Fischer Senior Fellow at the Technical University of Munich's Institute for Advanced Study (TUM-IAS) since 2019. His research focuses on variational methods for evolution problems, including gradient flows, rate-independent models, nonlinear PDEs, and optimal transport theory in metric spaces. Education: PhD in Mathematics (1988) from University of Pavia. His work bridges optimal transport, metric measure spaces, and analysis in non-Euclidean geometries, with applications to PDEs, curvature bounds, and generalized gradient flows. Key contributions include foundational studies on Wasserstein gradient flows, entropy-transport problems, and abstract action spaces in dynamical systems. Scientific awards include the prestigious Ennio De Giorgi Prize (2011) and the Gioachino Japichino Prize (1994), alongside an invitation as a speaker at the 7th European Congress of Mathematics (2016). Collaborations with researchers like Massimo Fornasier and Alexander Mielke have advanced consensus-based optimization, multi-agent control, and quantum drift-diffusion models.

• Applied Mathematics
• Scientific Computing
• Machine Learning
• +۷ مورد دیگر

Yimin Zhong is an Assistant Professor of Mathematics and Statistics at Auburn University. He holds a Ph.D. from the University of Texas at Austin (2017). His research focuses on applied mathematics, scientific computing, and machine learning, with expertise in inverse problems, radiative transfer, and nonlinear optics. He leads undergraduate research initiatives and collaborates on projects involving biomedical imaging and transport models. Key research areas include PDE learning, neural networks for high-frequency approximation, intrinsic complexity of datasets, and imaging with physical models. Zhong's work bridges theoretical analysis with computational methods, addressing challenges in data-driven modeling and inverse problem uniqueness/stability. He has contributed to fast algorithms for radiative transport and implicit boundary integration techniques for macromolecular electrostatics. His projects span collaborations with industry (e.g., Boeing) and academic networks, emphasizing interdisciplinary applications. Current interests also include graph theory, randomized algorithms, and geometric measure theory. Despite no explicit awards listed, his extensive publication record reflects recognition in computational and applied mathematics fields. Education: Ph.D. in Mathematics, University of Texas at Austin (2017) Advising: Mentored undergraduate research in inverse problems and numerical methods Labs/Teams: Leads Auburn's Undergraduate Research Network in Mathematics Open Problems: Active in transport equation analysis, nonlinear diffusion, and geometric measure theory challenges

Gülnur Yelمشاهده پروفایل

دانشیار

• Nonlinear Dynamics
• Fractional Calculus
• Partial Differential Equations
• +۳ مورد دیگر

Dr. Gülnur Yel is an Associate Professor in the Department of Primary School Mathematics Teaching at Muğla Sıtkı Koçman University's Faculty of Educational Sciences. She holds a PhD (2016), Master's (2012), and Bachelor's (2009) in Mathematics from the same institution. Her research focuses on nonlinear dynamics, fractional calculus, and mathematical physics, with a particular emphasis on soliton theory and analytical solutions to partial differential equations. Dr. Yel has contributed significantly to understanding wave phenomena in contexts ranging from fluid dynamics to quantum mechanics. Her work spans theoretical and applied aspects of nonlinear systems, including studies on the Benjamin-Ono equation, conformable derivatives, and integrable models like the Zoomeron and Gross-Pitaevskii equations. She has explored wave solutions in diverse domains such as electrical transmission lines, water waves, and nonlinear optics. Her publications often emphasize analytical methods and their applications to real-world problems, reflecting her expertise in both pure and applied mathematics. Dr. Yel's research has produced numerous contributions to the understanding of soliton behavior, fractional calculus applications, and mathematical modeling of physical systems. While no specific awards are listed, her extensive publication record underscores her active role in advancing nonlinear science research.

• Liquid Crystals
• Partial Differential Equations
• Geometric Variational Problems
• +۳ مورد دیگر

Zhiyuan Geng is a Golomb Visiting Assistant Professor of Mathematics at Purdue University's Department of Mathematics, part of the College of Science. His research focuses on advanced mathematical analysis, particularly in liquid crystals, partial differential equations, geometric variational problems, and materials science. Contact details include his email: geng42@purdue.edu , and office location MATH 409. Research interests span the following key areas: Liquid crystal defect dynamics and stability Phase transitions modeled via Allen-Cahn systems Free boundary problems in materials systems Triple junction configurations and surface tension effects Asymptotic analysis of interfaces and self-similar solutions Mathematical modeling of colloidal interactions in nematic phases Recent publications (2021–2025) emphasize theoretical breakthroughs in understanding complex material systems through PDE analysis and geometric variational principles. His work addresses critical phenomena like eigenframe discontinuities in Q-tensor models, rigidity properties of triple junction solutions, and stability of free boundary flows. These studies highlight interdisciplinary approaches combining pure mathematics with applications in soft condensed matter physics. No scientific awards or grants are explicitly listed in the provided information. He does not currently have documented advisees or students. Laboratory affiliations or collaborative research teams are not indicated in the texts provided.