جست‌وجوی استاد و پژوهشگر

• Theoretical Physics
• Mathematical Physics
• Quantum Mechanics
• +۱۲ مورد دیگر

Altug Arda is a Professor in the Department of Mathematics and Science Education at the Faculty of Education, Hacettepe University, Turkey. He has been actively contributing to theoretical and mathematical physics, particularly in solving quantum mechanical equations with various potential models and position-dependent mass systems. PhD in Physics Engineering, Hacettepe University, 2003 Bachelor’s in Physics Education, Hacettepe University, 1993 His research focuses on exact and approximate analytical solutions of relativistic and non-relativistic wave equations such as the Schrödinger, Klein-Gordon, Dirac, and Feinberg-Horodecki equations. He employs advanced mathematical techniques including the Laplace transform and Nikiforov-Uvarov method. His work frequently explores thermodynamic properties of quantum systems and symmetry limits in relativistic equations. The recent articles (2017–2023) reveal a consistent focus on quantum systems with position-dependent mass, non-central and generalized potentials, and thermodynamic analysis using special functions like Laguerre and Heun functions. His publications appear in high-impact journals such as European Physical Journal Plus , Canadian Journal of Physics , and Chinese Journal of Physics , indicating sustained scholarly activity in mathematical and theoretical physics. 56 SCI-indexed publications h-index: 16 (WoS), 712 (Scopus) Active peer reviewer for journals including Modern Physics Letters A and Advances in High Energy Physics Principal investigator of a funded project on analytical solutions of Schrödinger and Feinberg-Horodecki equations He has supervised research through collaborative publications and has served on academic appointment juries. He is also involved in science communication, having authored historical-scientific essays on figures like George Green and El-Kaşi. No formal list of students is provided, but his research collaborations suggest mentorship roles. He has participated in international conferences such as the International Conference on Quantum Science and Applications (2016) and Integrable Systems and Quantum Symmetries (2013). His scientific consultancy for TÜBİTAK in 2022 further underscores his active role in the Turkish academic community.

Vladislav Karginمشاهده پروفایل

دانشیار

• Probability Theory
• Mathematical Physics
• Combinatorics
• +۵ مورد دیگر

Vladislav Kargin is an Associate Professor at the Department of Mathematics and Statistics, Binghamton University. His research bridges Probability Theory with Mathematical Physics , Combinatorics , and Algorithm Theory . Research Trends : His publications over the last two decades focus on random matrices, free probability, quantum walks, and stochastic processes in combinatorial and physical contexts. Education : PhD in Mathematics (2008) from the Courant Institute, NYU, advised by Gerard Ben Arous, with a thesis on Limit Theorems in Free Probability Theory . Key Contributions : Kargin has advanced understanding of Lyapunov exponents, eigenvalue distributions, entropy in ribbon tilings, and quantum hypothesis testing efficiency. His work often connects abstract probability theory to practical problems in physics and computer science.

• Mathematical Analysis
• Differential Equations
• Fractional Calculus
• +۳ مورد دیگر

ALBERTO CABADA FERNANDEZ is a Professor at the University of Santiago de Compostela , affiliated with the Faculty of Mathematics and the Department of Statistics, Mathematical Analysis and Optimization . He is also associated with the Galician Mathematical Research and Technology Center (CITMAga) . His academic journey began with a PhD thesis titled The monotonic method for boundary problems (1992), supervised by Dr. Juan José Nieto Roig. Research focus: Mathematical Analysis , particularly in Nonlinear differential equations Key methodologies: Spectral theory, Green's functions, and fractional calculus Applications: Beam equations, impulsive systems, and nonlocal boundary problems Collaborative networks: Interdisciplinary work in differential equations and applied mathematics His recent publications (2022-2025) emphasize Green's functions for boundary value problems, fractional differential equations , and spectral characterization of Hill's equation. Work spans sign-preservation properties , non-instantaneous impulses , and nonlinear perturbations .

Palle Jorgensenمشاهده پروفایل

استاد

• Mathematical Analysis
• Harmonic Analysis
• Functional Analysis
• +۱۰ مورد دیگر

Palle Jorgensen is a Professor in the Department of Mathematics at The University of Iowa, with additional affiliation in the interdisciplinary Ph.D. program in Applied Mathematical and Computational Sciences. His work bridges pure and applied mathematics, with a strong emphasis on operator theory, harmonic analysis, and wavelets. University: The University of Iowa Department: Department of Mathematics Affiliation: Applied Mathematical and Computational Sciences (interdisciplinary Ph.D. program) His research interests span a wide range of topics in mathematical analysis, including functional analysis, operator algebras, representation theory, wavelets, fractals, and mathematical physics. He explores the interplay between discrete and continuous domains, particularly in signal processing and spectral theory. His work often involves the use of operator algebras and dynamical systems to analyze wavelets and fractal measures. The recent publications highlight a consistent focus on spectral theory, fractals, wavelet transforms, and operator algebras. Key themes include harmonic analysis on fractals, spectral duality, Cuntz algebras, and the spectral properties of graph Laplacians. His collaborations, especially with Dorin E. Dutkay and Myung-Sin Song, reflect a deep engagement with both theoretical developments and their applications in signal processing and mathematical physics. Palle Jorgensen serves on the editorial boards of several prominent journals, including: Complex Analysis and Operator Theory Acta Applicandae Mathematicae Journal of Applied Mathematics & Computing He has authored and co-authored influential textbooks such as Wavelets through a Looking Glass: The World of the Spectrum and Analysis and Probability: Wavelets, Signals, Fractals , which are widely recognized in the mathematical community. His research is supported by grants from the U.S. National Science Foundation, underscoring its significance and impact. He maintains an active presence in the academic community through conference organization, editorial work, and public dissemination of wavelet theory and its connections to broader mathematical and scientific domains.

Alexander Gelfgatمشاهده پروفایل

استاد

• Hydrodynamic Stability
• Bifurcations
• Flow Control
• +۸ مورد دیگر

Prof. Alexander Gelfgat is a faculty member at the School of Mechanical Engineering , part of the Faculty of Engineering at Tel Aviv University . His research focuses on hydrodynamic stability , bifurcations , flow control , and computational fluid dynamics (CFD) , particularly in crystal growth , MHD , and high-performance computing contexts. Research Interests: Hydrodynamic stability and bifurcations Convection and rotating flows Shear layer dynamics Moving boundary tracking Crystal growth and melt flow His work spans three-dimensional flow instabilities , with applications to Czochralski crystal growth , Dean flows , and two-phase stratified channels . Recent studies emphasize non-modal disturbances and quasi-two-dimensional flow projections for enhanced visualization. Prof. Gelfgat has advised notable researchers including Yuri Feldman and Helena Vitoshkin . His publications address critical challenges in boundary layer instability , cross-flow wave propagation , and pressure-velocity coupled formulations for lid-driven flows in complex geometries.

Sergio Lancelottiمشاهده پروفایل

پژوهشگر

• Nonlinear Analysis
• Partial Differential Equations
• Critical Point Theory
• +۳ مورد دیگر

Sergio Lancelotti is a Tenured Researcher in the Department of Mathematical Sciences at the Polytechnic University of Turin, affiliated with the College of Mechanical, Aerospace and Automotive Engineering. His academic career spans over 25 years since obtaining his PhD in Mathematics in 1996, with consistent contributions to nonlinear analysis and partial differential equations. Education: Bachelor in Mathematics from Università Cattolica del Sacro Cuore (Brescia) in 1990 PhD in Mathematics from Università degli studi di Milano (1990-1994), formally obtained in Rome in 1996 Lancelotti's research focuses on critical point theory for non-regular functionals, semilinear and quasi-linear elliptic equations, eigenvalue problems for variational inequalities, Lagrangian systems with obstacles, and Schrödinger equations in unbounded domains. His work bridges theoretical mathematics with applications in physics and engineering, particularly through the study of nonlinear phenomena in unbounded domains. His publication record shows consistent output over three decades, with recent work (2020-2024) focusing on normalized positive solutions for Schrödinger equations and nonlinear critical elliptic problems in unbounded domains. Earlier work (1990s-2010) established foundations in nonsmooth critical point theory, p-Laplacian problems, and variational inequalities. The research demonstrates evolution from foundational theoretical work to increasingly sophisticated applications while maintaining mathematical rigor. Lancelotti teaches Mathematical Analysis II for Aerospace Engineering students across multiple academic years (2019/20-2025/26), demonstrating his commitment to undergraduate education while maintaining an active research program. His current research collaborations include work with R. Molle on Schrödinger equations and previous collaborations with M. Degiovanni and K. Perera on p-Laplacian problems.

Fabio Pizzichilloمشاهده پروفایل

استاد

• Partial Differential Equations
• Relativistic Quantum Mechanics
• Dirac Operators
• +۳ مورد دیگر

Fabio Pizzichillo is a Permanent Professor at the Polytechnic University of Madrid within the Department of Mathematics and Computer Science Applied to Civil and Naval Engineering. He completed his bachelor's and master's degrees at Università di Bari, followed by a PhD supervised by Luis Vega at BCAM – Basque Center for Applied Mathematics. His post-doctoral work was conducted at CNRS and Université Paris-Dauphine in collaboration with Mathieu Lewin, and he previously held an assistant professorship at Universidad de Cantabria. His research explores partial differential equations in relativistic quantum mechanics, specializing in linear and non-linear perturbations of the Dirac equation. This work bridges mathematical physics and quantum theory, with emphases on spectral analysis, self-adjoint extensions of Dirac operators, and singular perturbations. He is an active member of the research group Mathematical Modeling, Analysis and Simulation Applied to Engineering . Publication trends focus on spectral properties of Dirac operators under various boundary conditions and perturbations, with recurring themes in relativistic inequalities, eigenvalue asymptotics, and applications to quantum systems. His works frequently combine operator theory, functional analysis, and geometric methods to address challenges in quantum mechanics. Teaching Experience: 2024/25: Cálculo II & Ecuaciones diferenciales (Grado en Ingeniería Civil y Territorial, UPM) 2023/24: Cálculo II & Ecuaciones diferenciales (Grado en Ingeniería Civil y Territorial, UPM) 2022/23: Estadística y Optimización (UPM); Cálculo I (multiple engineering degrees, Universidad de Cantabria) 2021/22: Ampliación de Matemáticas & Cálculo I (Universidad de Cantabria) 2020/21: Mathématiques & Outils Mathématiques (Université Paris Dauphine)

Luca Benvenutiمشاهده پروفایل

استاد

• Nonlinear Control Systems
• Positive Systems
• Constrained Control
• +۲ مورد دیگر

Luca Benvenuti serves as a Full Professor at Sapienza University of Rome, where he conducts pioneering research spanning theoretical control systems and practical sustainability applications. His work bridges engineering principles with real-world challenges in automotive systems, environmental science, and nutrition optimization. Education Laurea (Master's equivalent) with honors in Electronic Engineering from Sapienza University of Rome (1992) Visiting student at UC Berkeley's Department of Electrical Engineering and Computer Science (1995) PhD in Systems Engineering from Sapienza University of Rome (1996) Postdoctoral fellowship at University of L'Aquila (1997-1998) Research Focus Professor Benvenuti's research centers on nonlinear control systems for non-minimum phase trajectories, positive systems theory including minimal realizations and compartmental modeling, and constrained control for state/input limitations. His recent work demonstrates a strategic pivot toward sustainability applications , developing optimization models for sustainable diets, carbon footprint reduction in school meals, and biofortification strategies. The integration of hybrid control systems with automotive engineering remains a cornerstone of his theoretical contributions. Publication Trends Analysis of his 15 most recent publications reveals a pronounced interdisciplinary shift since 2019. While maintaining core contributions to positive systems theory (accounting for 35% of recent output), 65% of his work now focuses on sustainable nutrition systems. This includes triobjective diet optimization, carbon footprint modeling for institutional meals, and biofortification impact studies—primarily using integer programming and multi-criteria decision frameworks applied to Italian case studies. Scientific Recognition IEEE Transactions on Circuits and Systems Guillemin-Cauer Best Paper Award (2001) IFAC Congress Applications Paper Prize (2005) Plenary speaker at Second Multidisciplinary International Symposium on Positive Systems (2006) Professional Engagement Benvenuti has maintained significant industry connections through consultancy roles with Magneti Marelli's Engine Control Division (1997) and PARADES research laboratory (1997-2000), supported by Cadence Design Systems, ST-Microelectronics, and CNR. His research methodology combines theoretical rigor with practical validation, particularly evident in automotive control applications. Current work shows increasing collaboration with nutrition scientists and environmental researchers, reflecting his expanded focus on food systems sustainability.

Margaret Symingtonمشاهده پروفایل

استاد

• Symplectic Topology
• Contact Geometry
• Toric Geometry
• +۴ مورد دیگر

Dr. Margaret Symington serves as Professor of Mathematics within the College of Liberal Arts and Sciences at Mercer University, teaching courses ranging from introductory finite mathematics and calculus to advanced topics in abstract algebra, differential geometry, and symplectic topology. Her academic credentials include: Ph.D. in Mathematics, Stanford University M.S. in Mathematics, Stanford University Sc.M. in Applied Mathematics, Brown University Sc.M. in Engineering, Brown University B.A. in Mathematics, Brown University B.A. in Engineering, Brown University Specializing in symplectic topology of four-dimensional manifolds, her research bridges symplectic geometry, toric structures, and integrable systems through visual and diagrammatic methods. She explores how two-dimensional representations can model complex four-dimensional spaces, with notable interdisciplinary work applying geometric principles to dermatological surgery problems. Her approach emphasizes visualization as a core research tool across both pure and applied mathematics. Publication trends reveal sustained contributions to symplectic manifold theory since the 1990s, particularly through foundational techniques like symplectic rational blowdowns and the symplectic sum operation. Recent work focuses on semi-toric systems with international collaborators, while her dermatology-related publications demonstrate practical applications of geometric modeling in medical contexts. Dr. Symington actively mentors undergraduate researchers through honors projects and directed studies, guiding investigations into non-Euclidean geometry, triangle centers, symplectic boundaries, and geometric modeling for archaeological reconstruction. Current scholarly activities include co-authoring an undergraduate textbook on contact and symplectic geometry with Joan Licata and leading a multinational collaboration on semi-toric systems with researchers from Belgium, Germany, and Brazil.

• Control Theory
• Nonlinear Systems
• Optimization
• +۶ مورد دیگر

Dr. Makhin Thitsa serves as Professor of Electrical and Computer Engineering at Mercer University's School of Engineering in Macon, Georgia. She holds a research affiliate position at Georgia Institute of Technology and directs the Cyber-physical Systems and Control Laboratory at Mercer. Her leadership has guided numerous students to prestigious awards including the Barry M. Goldwater Scholarship and MIT's MSRP research program. Her educational background includes: PhD in Electrical & Computer Engineering, Old Dominion University (2011) MSE in Electrical Engineering, Old Dominion University (2007) BSE in Electrical Engineering, Old Dominion University (2005) Dr. Thitsa's research spans nonlinear control theory, non-smooth analysis, optimization, and data-driven control strategies. Her work applies to photonic devices, UAVs, and traffic networks, with current focus on numerically stable feedback optimization for multi-agent systems. She has secured funding from the Air Force Research Laboratory (AFRL) and Georgia Department of Transportation (GDOT). Her recent publications demonstrate expertise in control barrier functions, quantum state observers, and laser pulse shaping, reflecting interdisciplinary work bridging engineering, physics, and public health. Key trends include increasing focus on safety-critical systems and data-driven approaches. Professional honors include: Nomination for Goldwater faculty mentorship award (2023) All-Southern Conference Faculty and Staff Team recognition (2020) As an active researcher and educator, Dr. Thitsa serves on PhD committees at Georgia Tech and MIT, chairs sessions at major conferences like IEEE CDC, and reviews for top journals including Automatica and IEEE Transactions. Her Cyber-physical Systems Lab provides hands-on research experience for students working on cutting-edge control problems.

Vanni Noferiniمشاهده پروفایل

دانشیار

• Numerical Analysis
• Linear Algebra
• Matrix Polynomials
• +۴ مورد دیگر

Vanni Noferini is an Associate Professor in the Department of Mathematics and Systems Analysis at Aalto University, part of the School of Science. His research focuses on numerical linear algebra, matrix theory, and their applications in network science and complex systems. He holds joint affiliations with the Mathematical Statistics and Data Science, Algebra and Discrete Mathematics, and Numerical Analysis groups within the department. His work spans topics including matrix polynomials, eigenvalue problems, structured matrices, and the analysis of networks using algebraic and spectral methods. Notable contributions include studies on Smith forms, Riemannian optimization for matrix nearness problems, and non-backtracking centrality measures in graphs. Noferini has authored over 50 publications in top-tier journals such as SIAM Journal on Matrix Analysis and Applications , Linear Algebra and Its Applications , and Journal of Complex Networks . His research also intersects with applications in control theory, graph algorithms, and random matrix theory.

Xiangxiong Zhangمشاهده پروفایل

دانشیار

• Numerical Analysis
• Scientific Computing
• Applied Mathematics
• +۳ مورد دیگر

Xiangxiong Zhang is an Associate Professor in the Department of Mathematics at Purdue University, specializing in numerical analysis, scientific computing, and applied mathematics. His research focuses on numerical methods for partial differential equations, optimization algorithms, and computational fluid dynamics. He holds a PhD and has been actively involved in teaching graduate and undergraduate courses, including numerical PDEs, optimization, and linear algebra. His work emphasizes high-order numerical methods such as discontinuous Galerkin schemes, finite element methods, and spectral element methods, with applications in fluid dynamics, plasma physics, and compressible flow simulations. Notable contributions include positivity-preserving limiters, bound-preserving schemes, and Riemannian optimization techniques for matrix constraints. Zhang collaborates with researchers in computational mathematics and has published extensively in top journals like Journal of Computational Physics and SIAM Journal on Scientific Computing . His research also addresses challenges in GPU-accelerated computing for large-scale scientific simulations.

CNV Krishnanمشاهده پروفایل

استاد

• Empirical Corporate Finance
• Law and Finance
• Financial Intermediation
• +۲ مورد دیگر

CNV Krishnan is a Professor in the Banking and Finance Department at the Weatherhead School of Management, Case Western Reserve University. He holds the Henry Payne McIntosh Fellowship and has served as Department Chair and Finance Programs Director since 2001. His expertise lies in empirical corporate finance, focusing on how financial intermediaries create or destroy value. Education: PhD (University of Wisconsin-Madison, 2001), MBA (Indian Institute of Management-Ahmedabad) Research Interests : His work bridges corporate finance and law, analyzing banks, regulators, courts, and investment advisors. He has over 25 publications in top journals like the Journal of Finance, with research cited by the U.S. SEC and discussed in the Wall Street Journal and Reuters.com. Teaching & Awards : Krishnan has been recognized for teaching excellence at Weatherhead School of Management and through the Wolstein Society's 'Amazing Mentor and Guide Award'. He trains master's students in academic research and has been nominated for teaching awards repeatedly (2004, 2007, 2009, 2010, 2011, 2013, 2015, 2024). He is a top 10% author on Social Science Research Network (SSRN) by downloads. 2004-2024: Teaching Excellence Award Nominations 2024: Case Western Reserve University Pedagogical Innovation Award 2017-2023: Top 10% SSRN Author by Downloads

• Combinatorics
• Number Theory
• Graph Theory
• +۴ مورد دیگر

Neil Calkin is a Professor in the Department of Mathematical and Statistical Sciences at Clemson University. His research focuses on combinatorics, number theory, and experimental mathematics. He has contributed to areas such as fractal eigenvectors, Bohemian matrices, and computational discovery using tools like Jupyter. His work bridges theoretical mathematics with practical applications in education and pandemic logistics. Research interests include combinatorial structures, graph theory, and algorithmic approaches to classical mathematical problems. Notable contributions involve non-attacking kings configurations in 3D, Newton fractals, and Mandelbrot polynomials analysis. He actively explores the intersection of historical mathematical methods (e.g., Schröder’s algorithm) with modern computational techniques. Publications from 2020-2024 highlight experimental mathematics in education, pandemic modeling, and advanced combinatorial configurations. No awards are explicitly listed in provided texts. Advising details are not specified, but his research collaborations include work with graduate students on topics like Bernoulli convolutions and elliptic curves.

• Numerical Analysis
• High Performance Parallel Computing
• Algorithm Design
• +۵ مورد دیگر

Carl C Kjelgaard Mikkelsen is an Associate Professor at the Department of Computing Science, Umeå University, Sweden. His research focuses on developing robust numerical algorithms that cannot fail, particularly in the context of finite precision arithmetic used by computers. His work bridges theoretical numerical analysis with practical high-performance computing applications. Dr. Mikkelsen's research interests center around numerical analysis and high performance parallel computing, with special emphasis on the worst case analysis of algorithms. He investigates the profound differences between exact arithmetic used by humans and finite precision arithmetic used by computers. His current projects include developing parallel constraint solvers for constrained molecular dynamics and parallel solvers for ultra-sparse linear systems. He is a co-author of the StarNEig library for solving dense nonsymmetric standard and generalized eigenvalue problems in parallel. His recent publications demonstrate a strong focus on accuracy requirements in numerical methods, particularly Newton's method, and the development of robust parallel algorithms for linear algebra problems. His work spans from theoretical analysis of numerical stability to practical implementation in high-performance computing environments. Dr. Mikkelsen teaches numerical analysis and scientific computing, emphasizing algorithm design, analysis, and implementation. He focuses on teaching students the critical differences between exact and finite precision arithmetic, and invests significant time in teaching software development practices and technical writing.