جست‌وجوی استاد و پژوهشگر

• Integrable Systems
• Nonlinear Differential Equations
• Difference Equations
• +۳ مورد دیگر

Dr. Peter Van Der Kamp is a Senior Lecturer in Mathematics at La Trobe University's School of Mathematics & Statistics. His research focuses on integrable systems, particularly algebraic and geometric properties of nonlinear differential and difference equations. He has collaborated extensively on projects involving Poisson algebras, Lotka-Volterra systems, and discrete integrable equations. Education: Doctorandus (Theoretical Physics) from Vrije Universiteit (VU Amsterdam), Netherlands PhD (Mathematics) from Vrije Universiteit (VU Amsterdam), Netherlands Research Interests: Dr. Van Der Kamp's work spans integrable systems, with emphasis on: Development of discrete integrable equations Analysis of Lotka-Volterra systems and their superintegrability Study of Darboux polynomials and preserved measures Exploration of boundary conditions in quad equations His research often intersects nonlinear dynamics, algebraic geometry, and mathematical physics. Publications Trends: Recent articles highlight advancements in: Quadratic Poisson algebras and Lambert W-function solutions Trilinear/quadrilinear lattice equations Superintegrable tree-systems and their discretizations New integrable maps in R^4 Collaborations with experts like Quispel and Nijhoff are central to his work. Grants: Australian Research Council (ARC) Discovery Project: 'Discrete integrable systems' (2011–2015) Labs/Teams: Active contributor to the La Trobe University Mathematics group, focusing on discrete integrability and nonlinear systems research.

• Optimization
• Quantum Computing
• User Interface Design
• +۳ مورد دیگر

Niraj Dayama is an Associate Professor in the Department of Information Technology at Arcada University of Applied Sciences, affiliated with the School of Engineering, Culture and Wellbeing. He holds a Doctor of Philosophy. His research focuses on optimization techniques, quantum computing applications, user interface design, and algorithm development for interactive systems. Dr. Dayama's work bridges computational methods with human-centric design challenges. Educational Background: Doctor of Philosophy (PhD), details of academic programs not explicitly stated in provided texts. Affiliations include Arcada UAS with a primary role in Information Technology education and research. Research Interests: Dr. Dayama explores optimization in diverse domains such as quantum computing ecosystems, user interface layout generation, and scheduling problems. His contributions span algorithm design for grid-based layouts, real-time adaptive interfaces, and combinatorial solutions for UI/UX challenges. Recent work emphasizes leveraging quantum computing for problem decomposition and full-stack quantum software development. Publications reflect a shift toward quantum computing and optimization since 2020, complemented by longstanding engagement with layout design and scheduling algorithms. Notable trends include cross-disciplinary approaches merging computational methods with human interaction principles. No scientific awards or grants are explicitly mentioned in the provided texts. Advising roles or student supervision details are not listed.

• Cosmology
• Particle Physics
• Supersymmetry (SUSY)
• +۳ مورد دیگر

Professor Colin Froggatt is an Honorary Senior Research Fellow at the School of Physics & Astronomy, University of Glasgow. His research focuses on theoretical physics, cosmology, and particle physics, particularly in areas such as supersymmetric gravitational theories (SUGRA), dark energy, degenerate vacua, neutrino physics, and cosmological constant problems. He has co-authored numerous publications in leading journals and contributed to edited volumes like Neutrinos in Particle Physics, Astrophysics and Cosmology (2009). His work often explores high-energy phenomena, symmetry principles, and the interplay between quantum field theory and cosmology. Key research interests include the cosmological constant problem, vacuum energy dynamics, and the application of SUGRA models to explain dark energy. He has also investigated topics like the hierarchy problem, neutrino oscillations, and grand unified theories (GUTs). His collaborations with researchers such as H.B. Nielsen, R. Nevzorov, and A.W. Thomas highlight his contributions to foundational physics questions. No scientific awards or grants are explicitly listed in the provided text. His academic profile emphasizes theoretical research without documented advisee students. Contact details include an email address at the University of Glasgow.

Blake Hudsonمشاهده پروفایل

استاد

• Environmental Law
• Natural Resources Management
• Land Use Policy
• +۵ مورد دیگر

Blake Hudson is Dean and Professor of Law at Cumberland School of Law, Samford University. Previously, he served as Samuel T. Dell Professor of Law and Director of the Environmental Land Use and Real Estate Law Program at the University of Florida’s Levin College of Law. His academic journey includes roles at Stetson University College of Law, Louisiana State University Law Center, and the Houston Law Center. He holds a JD from Duke University (High Honors), an MA in Environmental Science and Policy from Duke’s Nicholas School, and a BA from the University of Montevallo. His research focuses on land use law, natural resource management, and federalism, with emphasis on forest management’s role in climate change mitigation. He has published over 30 articles, 10 book chapters, and three books. Key themes include private property rights, constitutional structures, and the interface between environmental policy and governance frameworks. His work bridges legal scholarship and practical applications, addressing challenges like sustainable development, regulatory uncertainty, and disaster resilience. Hudson’s interdisciplinary approach integrates law, ecology, and policy to propose innovative solutions for complex environmental problems. Professional leadership roles include directing the John P. Laborde Energy Law Center and co-directing the Environment, Energy, and Natural Resources Center. His teaching spans property law, environmental law, and natural resources law. He previously practiced at Baker Botts, a leading law firm in Houston. Research trends reflect growing attention to climate change adaptation, federalism reforms, and the interplay between local and global resource governance. His publications emphasize nested governance systems, constitutional frameworks for environmental protection, and market-based conservation strategies.

Florent Madelaineمشاهده پروفایل

استاد

• Theoretical Computer Science
• Finite Model Theory
• Computational Complexity
• +۴ مورد دیگر

Florent Madelaine is a Professor at the Laboratoire d'Algorithmique, Complexité et Logique (LACL) at the Université Paris-Est Créteil (UPEC). His academic journey includes a PhD from the University of Leicester (2003) under Iain Stewart and Etienne Grandjean. He has held roles such as Lecturer at Clermont-Ferrand (2007–2018) and Research Associate at Durham University (2003–2007), with visiting positions at Charles University and École Polytechnique. His research focuses on theoretical computer science, particularly finite model theory, computational complexity, and constraint satisfaction problems (CSP/QCSP), with contributions to MMSNP logic and complexity dichotomy conjectures. Currently affiliated with CNRS GdR IM, his work bridges algebraic methods and logical frameworks in computational problems. Education: B.Sc. and M.Sc. in Mathematics (Caen University), M.Sc. in Computer Science (Dresden), PhD in Computer Science (Leicester). Research interests emphasize foundational aspects of computational complexity, with a focus on logical characterizations, algebraic approaches, and constraint satisfaction problem classifications.

Gareth Arnottمشاهده پروفایل

دانشیار

• Animal Behavior
• Animal Welfare
• Aggression in Pigs
• +۹ مورد دیگر

Dr. Gareth Arnott is an Associate Professor in the School of Biological Sciences at Queen's University Belfast, affiliated with the Institute for Global Food Security. He is actively involved in research and supervision of PhD students focusing on animal behavior and welfare. Research Interests: Dr. Arnott specializes in animal contest behavior, applying game theory to understand aggression dynamics. His work spans fundamental research (e.g., vertebrate/invertebrate behavior) and applied welfare issues like reducing pig aggression post-regrouping and canine behavioral problems. Key topics include contest behavior, sexual selection, animal personality, and welfare challenges in dairy cows, pigs, and dogs. Recent Research Trends: His 2025 publications emphasize innovative solutions in livestock management (e.g., milking robots, virtual fencing) and ecological impacts (e.g., invasive species). He explores cognition's role in social networks and welfare implications of early-life stress. Awards & Activities: Nominated for Queen's University Belfast's 2017/18 Team of the Year Award. Active in conferences (e.g., Animal Welfare Research Network) and public engagement (e.g., Temple Grandin lectures). Leads projects on pig welfare, rumen pH sensors, and bioscience training partnerships. Grants & Collaborations: Principal Investigator on projects like 'Minimizing Pig Aggression' and co-investigator on rumen sensor development. Collaborates with institutions like Edinburgh University and Howard Farms Limited. Labs & Teams: Engaged in interdisciplinary teams addressing livestock welfare, invasive species, and precision agriculture technologies.

Aynur Bulutمشاهده پروفایل

دانشیار

• Nonlinear Partial Differential Equations
• Dispersive PDEs
• Supercritical Settings
• +۳ مورد دیگر

Aynur Bulut is an Associate Professor in the Department of Mathematics at Louisiana State University (LSU). Her research focuses on nonlinear partial differential equations (PDEs), particularly in supercritical settings and fluid models. She has made significant contributions to the analysis of dispersive PDEs, including studies on the Navier-Stokes equations, surface quasi-geostrophic (SQG) systems, and nonlinear wave equations. Bulut holds a Ph.D. from The University of Texas at Austin and an M.S. from Bogazici University. Her academic journey includes postdoctoral work with notable mathematicians like Jean Bourgain. She teaches advanced courses such as Theory of Partial Differential Equations (Math 7386) and Multidimensional Calculus (Math 2057) at LSU. Her invited talks span prestigious institutions like MIT, Stanford, and international venues including Turkey’s Bilkent University and Koc University. Research interests emphasize global well-posedness, singularity formation, and probabilistic methods in dispersive equations. Her work often explores thresholds for uniqueness/non-uniqueness (e.g., Onsager threshold) and stability properties in supercritical regimes. Recent studies address convex integration techniques, geometric trapping phenomena, and nonlinear instability in fluid dynamics. Notable collaborations include work with M. Czubak, H. Dong, and S. Palasek. While her publications span over two decades, recent focus areas include SQG equation behavior, hypodissipative Navier-Stokes regularity, and logarithmically energy-supercritical wave equations. Teaching and mentorship are integral to her academic profile at LSU.

Hans Lundmarkمشاهده پروفایل

دانشیار

• Integrable Systems
• Nonlinear Partial Differential Equations
• Mathematical Physics
• +۵ مورد دیگر

Hans Lundmark is an Associate Professor (Docent) in the Department of Mathematics at Linköping University, Sweden. He is affiliated with the division of Algebra, Geometry and Discrete Mathematics (ALGD), which conducts research in algebra, geometry, topology, combinatorics, and dynamical systems. His research focuses on integrable systems , particularly peakon solutions of nonlinear partial differential equations such as the Camassa-Holm, Degasperis-Procesi, Novikov, and Geng-Xue equations. His work combines analytical methods with dynamical systems theory and approximation techniques to study wave interactions and spectral properties. The recent publications highlight a consistent trajectory in nonlinear wave dynamics and mathematical physics , with a special emphasis on singular solutions (peakons, ghostpeakons, shockpeakons) and inverse spectral problems. These studies contribute to the theoretical understanding of integrable PDEs and their physical applications. Scientific Awards: No awards listed in the provided text. Advising and Grants: No information available regarding students, supervision, or research grants. Labs and Research Teams: Hans Lundmark is part of the Algebra, Geometry and Discrete Mathematics (ALGD) research group within the Department of Mathematics at Linköping University. This group fosters interdisciplinary research in pure and applied mathematics, particularly in areas connected to integrable systems and discrete models.

Frank Vallentinمشاهده پروفایل

استاد

• Optimization
• Semidefinite Programming
• Discrete Geometry
• +۸ مورد دیگر

Frank Vallentin is a full professor of applied mathematics (computer science) at the Mathematical Institute of the University of Cologne, Germany. He has held academic positions at Technische Universiteit Delft, Centrum Wiskunde & Informatica (CWI), and the Hebrew University of Jerusalem. His research spans optimization, discrete geometry, harmonic analysis, and computational mathematics. Research Interests: His primary mathematical interests include semidefinite programming, combinatorial optimization, harmonic analysis, discrete geometry, combinatorics, geometry of numbers, special functions, computational complexity, and coding and information theory. These areas reflect a deep integration of theoretical mathematics with algorithmic and computational techniques. The 15 most recent publications reveal a strong focus on geometric optimization, lattice problems, energy minimization, and semidefinite programming bounds. Key themes include chromatic numbers of lattices, symplectic capacities, polarization phenomena, and algorithmic solutions to geometric problems. His work often involves recursive SDP hierarchies, extremal configurations, and computational verification of theoretical bounds. Scientific Awards and Grants: SIAG/Optimization Prize (2011, with Christine Bachoc) NWO VIDI Grant (2010–2015): Semidefinite programming and harmonic analysis DFG Project: Symplectic capacities of polytopes (2017–) EU Horizon 2020 MINOA Project: Optimization with limited quantum resources (2017–) DFG Project: Spectral bounds in extremal discrete geometry (2019–) Advising and Grants: Vallentin has advised numerous PhD and master’s students at TU Delft and the University of Cologne, covering topics in discrete geometry, optimization, coding theory, and quantum information. He has secured major research funding from NWO, DFG, and the EU, supporting interdisciplinary projects in algorithmic optimization and mathematical physics. He is actively involved in organizing workshops and summer schools. Labs and Teams: He leads a research group at the University of Cologne focusing on optimization and discrete geometry, with strong collaborations with CWI Amsterdam, TU Delft, and international institutes. His team works on theoretical and computational aspects of geometric optimization, often using symmetry reduction and harmonic analysis.

In Young Minمشاهده پروفایل

مدرس

• International Relations
• Security Studies
• East Asian Politics
• +۳ مورد دیگر

In Young Min is a Lecturer in Korean studies at the Centre for East Asian Studies, Heidelberg University. He holds a B.A. and M.A. in Political Science from Yonsei University (South Korea), and a Ph.D. in Political Science and International Relations from the University of Southern California. His research focuses on international relations and security in East Asia, particularly the dynamics of power asymmetry and smaller states' agency in shaping these dynamics, with a regional focus on Korea. Recent work examines historical and contemporary issues surrounding the Korean Peninsula, including nuclear policy and unification treaties. His interdisciplinary contributions span political theory and historical analysis. Education History: B.A. and M.A. in Political Science, Yonsei University, South Korea Ph.D. in Political Science and International Relations, University of Southern California Research Interests: Power asymmetry dynamics in international relations Ontological security and identity in hierarchical systems Korean Peninsula security and unification South Korea's nuclear policy and non-proliferation challenges Publications Trends: His work bridges historical and contemporary analyses, with contributions to journals like the International Relations of the Asia-Pacific and Journal of Asian Security and International Affairs . Earlier technical articles in mathematics and computational methods reflect interdisciplinary engagement, though recent focus is on political science and international relations.

• Partial Differential Equations
• Zero Dispersion Limits
• Whitham Equations
• +۳ مورد دیگر

Fei-Ran Tian is a Professor of Mathematics at The Ohio State University, holding positions since 1995. His research focuses on Partial Differential Equations, Zero Dispersion Limits, Whitham Equations, and Modulation of Dispersive Oscillations. He earned his Ph.D. from New York University's Courant Institute in 1991, advised by Peter D. Lax. Education: Ph.D. Mathematics, Courant Institute, NYU (1991) M.S. Mathematics, Clarkson University (1987) B.S. Mathematics, Jinan University, China (1984) Research Interests: His work addresses integrable systems, zero dispersion limits, Whitham equations, and free boundary problems. He has contributed to understanding modulation equations for KdV and Camassa-Holm hierarchies, and their phase transitions. Grants: NSF DMS-0404931 (2004-2007) NSF DMS-0103849 (2001-2004) NSF DMS-9622810 (1996-1999) Awards: John Simon Guggenheim Fellowship (2003) Wilhelm T. Magnus Prize (1992) Honorary Professorship at Huang-Gang Normal University (2007) Labs/Teams: Collaborations include work with T. Grava on equilibrium measures and V. Pierce on Whitham equations. His research frequently involves numerical studies and asymptotic analysis of dispersive systems.

Monique Laurentمشاهده پروفایل

استاد

• Discrete Mathematics
• Optimization
• Polynomial Optimization
• +۵ مورد دیگر

Monique Laurent is a Tilburg University professor and senior researcher at CWI (Centrum Wiskunde & Informatica), focusing on discrete mathematics and optimization . Her work bridges algebra, geometry, and computer science to solve complex combinatorial and polynomial optimization problems. Part-time full professor at Tilburg University (since 2009) Group leader of Networks and Optimization at CWI (2005-2016) Current member of CWI Management Team Research Focus: Semidefinite programming hierarchies, noncommutative polynomial optimization, quantum information theory, and matrix factorization. Her recent work explores applications in quantum entanglement , graph parameters , and combinatorial data analysis . Key Publications: 15+ articles from 2017-2024 address topics like copositive matrices , sum-of-squares convergence , and hypergraph optimization . Collaborations span institutions in the Netherlands, France, Germany, and the U.S. Awards: 2023 Khachiyan Prize SIAM Fellow (2017) KNAW member (2018) EUROPT Fellow (2021) Grants & Projects: Leads EU-funded initiatives TENORS (2024) and POEMA (2019), with prior NWO and Marie Curie grants. Organizes international workshops on polynomial optimization and quantum information.

• Mathematical Optimization
• Stochastic Processes
• Control Theory
• +۳ مورد دیگر

Rodolfo Antonio Rios Zertuche is a Research Fellow in the Department of Mathematics and Statistics at UiT The Arctic University of Norway, actively contributing to the research groups Applied and Computational Algebra and MASCOT. His work bridges theoretical mathematics with computational applications across optimization and stochastic systems. His research focuses on Mathematical Optimization, Stochastic Processes, and Dynamical Systems, with significant contributions to variational problem relaxations, sums-of-squares hierarchies, and subgradient method dynamics. Recent investigations examine convexity in measure-theoretic frameworks and convergence properties in polynomial optimization. Publications from 2022-2024 reveal a concentrated trend toward optimization theory, particularly in occupation measure relaxations, correlative sparsity convergence rates, and stochastic approximation techniques. These works demonstrate increasing sophistication in handling nonsmooth functions and probabilistic frameworks through measure-theoretic approaches. Rios Zertuche maintains strong international collaborations with researchers from institutions including LAAS-CNRS (Toulouse) and Czech Technical University, evidenced by co-authorships with Didier Henrion and Milan Korda. His involvement in the MASCOT research group supports interdisciplinary projects connecting algebraic methods with computational mathematics.

• Physics beyond the Standard Model
• Dark Matter
• Axions
• +۴ مورد دیگر

Peter W. Graham serves as Professor of Physics at Stanford University, leading research at the intersection of theoretical particle physics and experimental design since joining the faculty in 2010. His work bridges astrophysics, atomic physics, and solid-state techniques to probe fundamental physics beyond the Standard Model. Education: Harvard University: AB and AM in Physics (2002) Stanford University: Ph.D. in Physics (2007), advised by Savas Dimopoulos Graham's research program centers on developing novel experimental approaches for detecting dark matter candidates and solving theoretical puzzles. He pioneered the Cosmic Axion Spin Precession Experiment (CASPEr) using NMR techniques to detect axion dark matter and co-developed the DM Radio Pathfinder for hidden photon searches through precision magnetometry. His theoretical breakthrough in cosmological relaxation offers an elegant solution to the hierarchy problem by connecting electroweak scale dynamics to inflationary cosmology, generating significant discussion in particle physics circles. He also advanced gravitational wave detection methodologies using atom interferometry, demonstrating cross-disciplinary innovation. Analysis of his publications reveals consistent focus on precision measurement technologies applied to fundamental physics questions, with recurring themes in dark matter phenomenology, quantum sensor development, and connections between cosmology and particle physics. His work demonstrates exceptional synergy between theoretical insight and experimental feasibility. Scientific Awards: New Horizons in Physics Prize (2017) for developing new experimental tests of physics beyond the Standard Model Department of Energy Early Career Award (2014) Terman Fellow at Stanford University (2014) Graham's research has been supported by significant funding including the DOE Early Career Award, enabling his leadership in multiple experimental collaborations. While specific grant details aren't provided, his CASPEr and DM Radio initiatives represent major multi-institutional efforts involving national laboratories and international partners. He maintains strong ties with the Stanford Institute for Theoretical Physics while actively collaborating with experimental groups to translate theoretical concepts into detector designs. His research ecosystem includes the Stanford-based theoretical group developing detection frameworks and close partnerships with experimental teams building ultra-sensitive quantum sensors. The CASPEr collaboration spans multiple universities focusing on NMR-based dark matter detection, while DM Radio involves teams developing resonant cavity and lumped-element detectors for hidden sector particles, creating a robust infrastructure for next-generation fundamental physics experiments.

Swarnendu Biswasمشاهده پروفایل

استادیار

• Programming Languages
• Compilers
• Runtime Systems
• +۷ مورد دیگر

Swarnendu Biswas is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur. He teaches courses including Programming for Performance (CS 610), Analysis of Concurrent Programs (CS 636), and Compiler Design (CS 335), demonstrating his expertise across multiple areas of computer systems. His research interests center on Programming Languages, Compilers, Runtime Systems, and Parallel Software Systems. He leads the PROSPAR (Programming Languages and PARallel Systems) research group, which focuses on developing techniques to build efficient and correct parallel software through program analysis, compiler optimizations, and runtime systems. His recent publications reveal a strong trend in addressing fundamental challenges in parallel computing, with work spanning cache coherence, false sharing detection, data race analysis for GPUs, verification of neural networks, and thermal-aware management of heterogeneous systems. His research bridges theory and practice with significant contributions to both hardware and software aspects of parallel systems. His scientific achievements have been recognized through multiple prestigious awards: Google India Research Award 2021 Google Explore CSR 2022 Research Grant from Intel Corporation SERB Start-up Research Grant 2019 Google Cloud Platform Research Credits (2019, 2020) IITK Initiation Grant 2019 As an advisor, he mentors several PhD and MTech students working on cutting-edge research in parallel systems. His PROSPAR group has secured significant funding from industry and government sources, supporting innovative research in programming languages and parallel systems. The group actively collaborates with industry partners including Google and Intel, addressing real-world challenges in parallel computing. He leads the PROSPAR research group at IIT Kanpur, which brings together faculty, PhD students, and MTech researchers to tackle challenging problems at the intersection of programming languages, compilers, and parallel systems. The group maintains strong industry connections and focuses on practical solutions that can be deployed in real systems.