جست‌وجوی استاد و پژوهشگر

• Operator Theory
• Functional Analysis
• Mathematical Physics
• +۴ مورد دیگر

Raffael Hagger is a researcher at the University of Reading, specializing in operator theory, functional analysis, and mathematical physics. His work focuses on Toeplitz and Hankel operators, spectral theory, and quantization in domains like Fock spaces and bounded symmetric domains. Recent Research Trends: Hagger's publications (2025–2015) span topics such as band-dominated operators on locally compact abelian groups, quantum harmonic analysis for polyanalytic Fock spaces, and spectral properties of Toeplitz operators on the unit ball and Lipschitz domains. His work also addresses compactness criteria, essential spectra, and symmetries in random hopping matrices. Collaborations: He frequently collaborates with researchers like J. Virtanen, W. Bauer, and M. Lindner.

Lisa Beckمشاهده پروفایل

استاد

• Partial Differential Equations
• Calculus of Variations
• Regularity Theory for Elliptic Problems
• +۳ مورد دیگر

Lisa Beck is a Professor at the Institute of Mathematics , University of Augsburg, specializing in Applied Analysis . Her research focuses on partial differential equations and the calculus of variations, with a particular emphasis on regularity theory for elliptic problems, functionals with linear growth, and the behavior of solutions under stochastic disturbances. University: University of Augsburg School: Faculty of Mathematics, Natural Sciences and Technology Department: Institute of Mathematics Academic Rank: Professor Research Interests : Lisa Beck's work addresses regularity properties of solutions to nonlinear elliptic and parabolic systems, including partial Hölder continuity, boundary regularity, and the impact of stochastic perturbations on uniqueness and regularity. Her studies extend to variational problems with linear or subquadratic growth, cohesive fracture models, and blowup techniques in regularity theory. Publication Trends : Her recent publications (2025–2015) span topics such as gradient integrability for BD-minimizers , exponential convergence in drift-diffusion systems , optimal regularity for isoperimetric sets , and stochastic regularization of transport equations . These works often intersect calculus of variations , nonlinear elliptic systems , and stochastic analysis . Contact : Email: lisa.beck@math.uni-augsburg.de Phone: +49 821 598 -5475 Address: Universitätsstraße 12, 86159 Augsburg

Eric Stachuraمشاهده پروفایل

دانشیار

• Applied Mathematics
• Metamaterials
• Electromagnetism
• +۵ مورد دیگر

Eric Stachura is an Associate Professor of Mathematics at Kennesaw State University, affiliated with the College of Science and Mathematics. His research spans metamaterials, liquid crystal optics, fractals, and electromagnetic theory, with applications in acoustics and quantum mechanics. Ph.D. in Mathematics, Temple University (2016) M.A. in Mathematics, Temple University (2013) B.S. in Mathematics (minor in Physics), University of Illinois at Chicago (2011) Stachura’s work focuses on mathematical modeling of physical systems, including the development of a novel framework for metamaterial lens design, analysis of electromagnetic wave propagation in fractal media, and nonlinear problems in geometric optics. He has co-authored foundational studies on Snell’s Law generalizations and the mathematics of metasurfaces. His recent publications highlight interdisciplinary applications of mathematics, particularly in fractal geometry, liquid crystal optics, and acoustic wave dynamics. He leads the Immersive Visualization Environments Research Cluster at the Coles College of Business and is co-director of a paid summer internship program for high school and undergraduate students via the Army Educational Outreach Program. Recipient of the 2024-2025 College of Science and Mathematics Outstanding Scholarship and Creativity Award Recipient of the 2024-2025 University-level Outstanding Scholarship and Creativity Award American-Scandinavian Foundation Fellow (2019-2020)

Sayan Mukherjeeمشاهده پروفایل

استاد

• Geometry and topology in probabilistic modeling
• Stochastic topology
• Statistical and computational biology
• +۷ مورد دیگر

Sayan Mukherjee is a Professor of Statistical Science, Computer Science, and Mathematics at Duke University, with affiliations at the Information Initiative at Duke. His academic work spans multiple departments, reflecting his interdisciplinary research approach. His research focuses on three main areas: Geometry and topology in probabilistic modeling , where he develops methods for modeling geometric and topological properties of objects/data with uncertainty; Modeling massive data , building statistical models and algorithms for dimension reduction, classification, and matrix completion that scale to huge datasets; and Applied Bayesian models in computational biology , collaborating with biologists on projects ranging from functional genomics to population biology. Mukherjee has mentored numerous graduate students and postdoctoral fellows who have gone on to positions at institutions including Harvard, U Chicago, Duke, UNC, and industry positions at companies like Google, Novartis, and SAS. His collaborative network spans across multiple disciplines including geometry, topology, learning theory, cancer biology, computational biology, and evolutionary ecology. He has developed significant software tools including Bayesian Sparse Factor Analysis of Genetic Covariance Matrices (BSFG), Automated 3D Geometric Morphometrics (auto3dgm), and Analysis of Sample Set Enrichment Scores (ASSESS), demonstrating his commitment to creating practical computational methods for complex biological and statistical problems.

Louis S. Bouchardمشاهده پروفایل

دانشیار

• Physical Chemistry
• Biomedical Engineering
• Nanoscience
• +۹ مورد دیگر

Louis S. Bouchard is an Associate Professor in the Department of Chemistry at the University of California, Los Angeles (UCLA). His interdisciplinary research spans physical chemistry, biomedical engineering, and quantum computing, with a focus on NMR/MRI technologies, immunotherapy, and materials science. He earned a B.Sc. in Physics and Business Management from McGill University, a M.Sc. in Medical Biophysics from the University of Toronto, and a Ph.D. in Chemistry from Princeton University. His postdoctoral work at UC Berkeley with Alex Pines advanced low-field NMR and hyperpolarization methods. Research Interests : Physical & analytical chemistry, materials for immunotherapy, MRI contrast agents, biosensors, quantum control, machine learning in biomedical imaging. Lab Focus : Operando NMR methods, molecular kinetics, tissue engineering, quantum computing, and machine learning algorithms. His group has developed groundbreaking technologies, including: NMR methods for topological insulator surface states 12% 15N hyperpolarization catalysts for MRI Operando NMR in catalytic reactors Multi-channel 3D tissue bioreactors Scientific awards include the Beckman Young Investigator Award (2012), Dreyfus New Faculty Award (2008), and multiple UCLA faculty development grants. Current projects recruit students in machine learning , molecular kinetics , and quantum computing applications to chemistry and biology.

• Pure Mathematics
• Functional Analysis
• Topology
• +۵ مورد دیگر

Peter Nickolas is an Associate Professor and Honorary Fellow at the School of Mathematics and Applied Statistics, University of Wollongong, Australia. His research focuses on pure mathematics, particularly in topology, group theory, and distance geometry. His work includes studies on harmonic continued fractions, quasihypermetric spaces, and topological groups. He has collaborated with researchers such as Safavi-Naini, Tonien, Elfard, and Wolf across disciplines like cryptography and functional analysis. He has received funding from Discovery Projects for research on approximate authentication systems. His academic supervision includes completed higher-degree research projects in areas related to continued fractions and free paratopological groups. Honorary Fellow

Nicole Abaidمشاهده پروفایل

دانشیار

• Dynamical Systems
• Control Theory
• Multi-Agent Systems
• +۵ مورد دیگر

Nicole Abaid is an Associate Professor in the Department of Mathematics at Virginia Tech, affiliated with the College of Science. Her research integrates dynamical systems, control theory, and robotics to study collective behavior in biological and engineered systems. She explores biologically-inspired models, such as bat swarms and brain networks, to develop applications in robotics and environmental monitoring. Her work combines agent-based modeling, network analysis, and data-driven approaches to understand interactions in animal groups and robotic systems. Notable projects include analyzing bat echolocation for acoustic sensing in robotics and studying stress effects in human crowd dynamics during emergencies. She has also contributed to piezoelectric energy harvesting and ex vivo muscle stimulation via Functional Electrical Stimulation (FES). Abaid’s research has been supported by grants like the NSF CAREER Award for collective behavior studies. She collaborates on interdisciplinary projects, including outreach programs in biomimetics and robotics for K-12 education. Her publications span journals and conferences, emphasizing applications in ecology, robotics, and control systems.

• Artificial Intelligence
• Machine Learning
• Neural Networks
• +۳ مورد دیگر

Călin-Adrian POPA is a Full Professor at the Department of Computer and Software Engineering, Politehnica University of Timişoara. He holds a Ph.D. in Computer Science and Information Technology (2015) from Politehnica University Timişoara, and additional degrees in Mathematics from West University of Timişoara (B.Sc. 2013, M.Sc. 2015). His research focuses on artificial intelligence, machine learning, and neural networks, with specializations in complex-valued systems (octonion, quaternion, Clifford algebra), stability analysis, and synchronization of neural networks. He has been awarded the 'Profesor Bologna' Distinction (2017). Research interests include: Advanced neural network architectures Deep learning for computer vision Fractional-order systems Nonlinear dynamics and control Applications in robotics and astrophysics His publications span 2014–2025, emphasizing theoretical contributions to neural networks and practical applications in computer vision and robotics. He supervises a large cohort of PhD students in AI-related fields.

Cristiano Bocciمشاهده پروفایل

استاد

• Algebraic Geometry
• Commutative Algebra
• Computational Geometry
• +۳ مورد دیگر

Cristiano Bocci is a Full Professor at the Department of Information Engineering and Mathematical Sciences, University of Siena. His research focuses on Algebraic Geometry, Commutative Algebra, and their applications in sensor networks and statistics. He teaches courses like Computational Geometry and Analytical Geometry, and his work extends to interdisciplinary projects involving engineering and data science. Contact him at cristiano.bocci@unisi.it. Research Interests: Geometric constructions in projective spaces Hadamard products of varieties and ideals Applications of algebraic methods in sensor networks and granular material measurement Recent Trends in Publications: Over 2023-2024, Bocci has explored Hadamard products' algebraic properties, Gorenstein points in projective spaces, and sensor network designs. His work bridges pure mathematics with engineering solutions like LoRaWAN-based systems for granular material volume measurement. Grants & Advising: While specific grants aren't listed, his active publication record suggests ongoing research projects. No student advisees are explicitly mentioned. Labs/Teams: Collaborates on interdisciplinary teams applying algebraic geometry to sensor technology and data modeling.

• Additive Manufacturing
• Materials Science
• Engineering Design
• +۳ مورد دیگر

Suraj Panicker is a Postdoctoral Researcher in the Department of Automation Technology and Mechanical Engineering. He holds a Master of Science in Industrial Management from Oregon State University (2018) and a Bachelor of Science in Mechanical Engineering (2014). His research focuses on additive manufacturing, materials science, and engineering design optimization, with particular emphasis on thermal analysis, dimensional modeling, and process-structure-property linkages. He has contributed to UN Sustainable Development Goals related to education and innovation. Key research themes include wire arc additive manufacturing, infill strategy optimization, and graph-based modeling for design fidelity evaluation. His work integrates functional modeling, Bayesian networks, and singular value decomposition to address challenges in manufacturing processes and sustainability. Recent activities include presenting at the 2024 International Symposium on Industrial Engineering and Automation and contributing to the HE-LHC magnet production project. Collaborations span academic and industrial partners, with active involvement in conferences since 2019. His research outputs (20 articles from 2018–2025) explore topics ranging from thermal history prediction to cold spray functionalization of additive manufactured structures.

Nicholas James McCleereyمشاهده پروفایل

استادیار

• Complex Geometry
• Differential Geometry
• Algebraic Geometry
• +۱ مورد دیگر

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.

• Differential Geometry
• Spectral Theory
• Mathematical Physics
• +۴ مورد دیگر

Maxim Braverman is a Professor in the Mathematics Department at Northeastern University. His research focuses on spectral theory, geometric analysis, and mathematical physics, with a particular emphasis on index theorems, differential operators on manifolds, and applications to quantum field theory. He has collaborated extensively on topics such as the Weyl law, symplectic reduction, and the study of mtDNA mutations. Braverman holds a Ph.D. in Mathematics and has authored numerous influential papers in top-tier journals. His work often bridges the gap between pure mathematics and theoretical physics, with notable contributions to the understanding of non-compact manifolds and their spectral properties. Key research interests include the geometry of differential operators, geometric quantization, and the interplay between topology and analysis. His recent work explores the dynamics of mtDNA mutations and their implications in genetics, reflecting his interdisciplinary approach. Braverman has been recognized for his scholarship through publications in prestigious venues and his editorial contributions to academic journals. His research has been supported by various grants, though specific details are not listed here. He is affiliated with Northeastern University’s Mathematics Department and has contributed to academic service, including organizing conferences on spectral theory and geometric analysis.

• Mathematics
• Combinatorics
• Number Theory
• +۳ مورد دیگر

Orli Herscovici is an Assistant Professor in the Department of Mathematics and Computer Science at St. John’s College of Liberal Arts and Sciences, St. John’s University. Her research focuses on advanced mathematical analysis, combinatorics, and special functions, with notable contributions to fractional calculus, polynomial theory, and combinatorial identities. She has published extensively on topics including Gaussian principal frequencies, deformed fractional transforms, and degenerate polynomials. Her work bridges pure mathematics and applications in probability theory and nonlinear systems. Dr. Herscovici’s academic affiliations include the Mathematics and Computer Science department, where she contributes to teaching and research initiatives. Her publications reflect a deep engagement with interdisciplinary areas such as spectral geometry and umbral calculus. While no specific scientific awards or grants are highlighted in the provided text, her scholarly output demonstrates sustained academic engagement in theoretical and applied mathematics.

• Complex Geometry
• Differential Geometry
• Kähler Manifolds
• +۶ مورد دیگر

Michela Zedda is an Associate Professor at the Department of Mathematical, Physical and Informatics Sciences of the University of Parma . Her research focuses on complex geometry, differential geometry, and geometric analysis, with particular emphasis on Kähler and Sasakian manifolds, geometric flows, and quantization techniques. Her work includes studies on isometric immersions of locally conformally Kähler manifolds, stability in Lie group actions, J-flow dynamics on Sasakian manifolds, and Berezin-Engliš quantization of Cartan-Hartogs domains. Recent contributions address convergence properties of geometric flows and asymptotic expansions in geometric quantization. Professional Activities: She organizes workshops such as PREDICT 2025 and Informal Geometry Workshop in Paradiso 2025 , and participates in international conferences on complex and differential geometry.

• Calculus of Variations
• Geometric Analysis
• Partial Differential Equations
• +۴ مورد دیگر

Domenico Mucci is an Associate Professor at the Department of Mathematics, University of Parma. His research focuses on calculus of variations, geometric analysis, and partial differential equations with applications to material science and continuum mechanics. Key areas of investigation include energy relaxation in constrained mappings, geometric curvatures of irregular curves, and fracture mechanics in elastic materials. Education details are not explicitly provided, but his extensive publication record indicates advanced expertise in mathematical analysis and applied mathematics. His work often involves collaborations with leading researchers such as P.M. Mariano and L. Nicolodi, addressing topics like BV spaces, Sobolev maps, and the mathematical foundations of non-smooth geometric structures. Research interests prominently feature relaxed energies in constrained systems , nonlinear elasticity models , and geometric singularities . Recent articles explore generalized Varga materials, minimal hyperfurfaces, and crack nucleation in shells. His contributions bridge pure mathematical analysis with applied mechanics, addressing problems in materials science and engineering. No scientific awards are explicitly mentioned, but his prolific publication history (64 papers listed) reflects sustained academic impact. Ongoing work includes studies on fractional Sobolev spaces, weak curvatures, and variational problems in high-dimensional settings. Collaborations often involve theoretical frameworks for continuum kinematics and incompatible strain decompositions.