جست‌وجوی استاد و پژوهشگر

Alexei Daletskiiمشاهده پروفایل

استاد

• Stochastic Analysis
• Mathematical Physics
• Global Analysis
• +۳ مورد دیگر

Dr. Alexei Daletskii is a Professor of Mathematics at the University of York, specializing in stochastic analysis, mathematical physics, and global analysis. He holds a PhD and Dr Sci from the Institute of Mathematics, Kiev, and has conducted research at the Institute of Applied Mathematics in Bonn. His current roles include membership in the Maths and Economics/Finance Combined Degree Executive Committee. Research Overview : His work focuses on stochastic processes, stochastic differential equations, and infinite-dimensional spaces, with applications to statistical mechanics. Key areas include Gibbs measures, stochastic dynamics of infinite particle systems, and representations of quantum commutation relations. He explores phase transitions, marked point processes, and braided Fock spaces in quantum mechanics. Recent Trends in Articles : Recent publications emphasize stochastic dynamics on manifolds, particle systems on unbounded graphs, and quantum models like anyons. His work bridges stochastic analysis with geometric and algebraic structures, addressing foundational questions in infinite-dimensional analysis. Awards : No scientific awards explicitly mentioned. Advising & Grants : Currently supervising Asma Alalyani (PhD student). Offers PhD projects in stochastic/functional analysis, statistical mechanics models, and representation theory of infinite-dimensional groups. Labs/Teams : Active in the Mathematical Finance and Stochastic Analysis, and Mathematical Physics and Quantum Information research groups at York.

Tomasz Zastawniakمشاهده پروفایل

استاد

• Mathematical Finance
• Stochastic Analysis
• Mathematical Physics
• +۳ مورد دیگر

Tomasz Zastawniak is a Professor in the Department of Mathematics at the University of York. He previously held the same position at the university and currently serves as Director of the MSc Mathematical Finance (online) program and oversees admissions for the online Mathematical Finance specialization. His academic background includes MSc degrees in Mathematics and Physics, followed by a PhD from Kraków. Dr. Zastawniak's research focuses on mathematical finance, stochastic analysis, and mathematical physics. He explores topics such as asset pricing under transaction costs, quantum computing applications in finance, credit risk modeling, and high-dimensional option pricing using machine learning techniques like kernel ridge regression. His work bridges mathematical rigor with practical financial engineering challenges. He has hosted visiting academics, including Sergei Levendorskii (2014) and Latifa Debbi (2010), and organized conferences like the Stochastic Partial Differential Equations (SPDEs) event in 2010. While no scientific awards are explicitly listed, his contributions to financial mathematics and stochastic processes are notable through his extensive publications and academic leadership roles.

• Quantum Information Retrieval
• Probabilistic Models
• Semantic Search
• +۳ مورد دیگر

Professor Cornelis Van Rijsbergen is Honorary Senior Research Fellow at the University of Glasgow's School of Computing Science. A pioneer in information retrieval, his work establishes foundational probabilistic models and quantum-inspired frameworks for modern search systems. Seminal contributions include the Divergence from Randomness model and Quantum Probability Ranking Principle. His research develops theoretical foundations for document ranking, semantic representation, and evaluation methodologies. Recent investigations formalize quantum interactions in retrieval systems and analyze interference effects in subtopic ranking. Professor Van Rijsbergen's publications form cornerstone literature in information retrieval theory. He continues to influence next-generation retrieval frameworks through quantum-inspired approaches.

Jielun Chenمشاهده پروفایل

مدرس

• Physics
• Quantum Computing
• Tensor Networks
• +۴ مورد دیگر

Jielun (Chris) Chen is a Lecturer in the Department of Physics at the Division of Physics, Mathematics and Astronomy (PMA), California Institute of Technology. His research focuses on quantum computing , tensor networks , and computational physics , particularly in correlated electronic structure and dynamics. Research Trends: His publications from 2022–2025 highlight contributions to quantum algorithms for electronic systems tractability of tensor network contractions quantum Fourier transforms density functional theory applications These works bridge quantum information science and condensed matter physics . Contact: jchen9@caltech.edu

• Chemistry
• Electronics
• Industrial Engineering
• +۳ مورد دیگر

Dr. Elisa Garcia-Tabares Valdivieso is an Assistant Professor in the Department of Physics at Carlos III University of Madrid. Her research focuses on advanced materials for solar energy applications, semiconductor growth techniques (e.g., MOVPE), and surface engineering for electron emission control. Key areas include GaAs/Si integration for multijunction solar cells, structural color generation via plasmonics, and cryogenic material behavior for accelerator technologies. Research Groups: Advanced materials for solar energy applications Teaching Subjects: Chemistry, Electronics, Materials Science, Renewable Energies Her work addresses challenges in semiconductor epitaxy, defect analysis, and functional coatings. Notable projects include 'Caracterización Avanzada de Espejos para Aplicaciones en Energía Solar' (2022–2025) and 'Nanostructured sputtered coatings for solar particle receivers' (2022–2023). Publications span 2016–2025, with recent emphasis on ultra-flexible silicon foils, bismuth-based metasurfaces, and GaInAs solar cell optimization. Her research combines experimental methods (e.g., TEM, MOVPE) with computational modeling for device performance enhancement. Funding: Principal investigator on energy storage projects and collaborator on EU-funded initiatives Lab Affiliations: Physics Department laboratories at UC3M

• Cosmology
• Theoretical Physics
• Quantum Field Theory
• +۳ مورد دیگر

Alan H. Guth is a Professor at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Physics and the Laboratory for Nuclear Science (LNS). He is renowned for his foundational work in cosmology, particularly the theory of cosmic inflation. Guth has held senior academic positions at MIT since 1980, following postdoctoral roles at SLAC and Cornell University. His research focuses on theoretical physics, cosmology, and quantum field theory, with contributions to inflationary models, quantum fluctuations, and the multiverse concept. Guth’s affiliations include MIT’s Center for Theoretical Physics (CTP) and collaborations with institutions like Harvard-Smithsonian Center for Astrophysics. His educational background includes doctoral studies leading to his influential work on inflation, with Francis E. Low as his advisor. Research interests span cosmological parameters, dark matter axions, and the implications of eternal inflation. Notable articles address topics like Bayesian analysis in cosmology, quantum entanglement experiments using cosmic data, and axion physics in inflationary scenarios. Collaborations with researchers such as David I. Kaiser and Alexander Vilenkin highlight his interdisciplinary work. While no specific awards are listed here, his contributions to cosmology are widely recognized in the scientific community. Guth’s research also involves exploring cosmic phenomena through theoretical frameworks, including the interplay between quantum mechanics and cosmological models.

Rémi Rhodesمشاهده پروفایل

استاد

• Quantum Field Theory
• Probability Theory
• Mathematical Physics
• +۳ مورد دیگر

Rémi Rhodes is a Professor at Aix-Marseille Université (AMU) and a researcher in the Probability team of the Mathematics of Randomness group at the Institut de Mathématiques de Marseille (I2M). A native of the region, he earned his PhD in 2006 from the University of Provence under Etienne Pardoux, followed by a lecturer position at Paris Dauphine University and a habilitation to direct research. He later worked at the Laboratoire d'Analyse et de Mathématiques Appliquées in Marne-la-Vallée before returning to Marseille in 2018. His research focuses on quantum field theory and probability, notably co-proving the DOZZ formula in Liouville theory, a foundational result in mathematical physics. Awards: George Pòlya Prize in Mathematics (2022) for contributions to Liouville quantum field theory. His academic journey includes key roles in Parisian institutions and a return to his regional roots at AMU. Collaborations with Antti Kupiainen and Vincent Vargas have been central to his groundbreaking work.

Vincent Vargasمشاهده پروفایل

استاد

• Probability
• Mathematical Physics
• Statistical Mechanics
• +۱ مورد دیگر

Prof. Vincent Vargas is a faculty member at the University of Geneva (UNIGE), affiliated with the SwissMAP research network. He joined SwissMAP's Field Theory and Statistical Mechanics projects in February 2022. His research focuses on Probability, Mathematical Physics, Statistical Mechanics, and Quantum Field Theory. His work contributes to advancing theoretical frameworks in these interdisciplinary areas. Prof. Vargas’ academic contributions are centered on the intersection of probability theory and quantum field theory, particularly within statistical mechanics. His projects aim to bridge mathematical rigor with physical insights, addressing foundational questions in modern theoretical physics. No specific grants, awards, or supervised students are mentioned in the provided text. His affiliation with SwissMAP highlights his involvement in collaborative, cutting-edge research initiatives in mathematical physics.

Ricardo Gutierrez Diezمشاهده پروفایل

دانشیار

• Statistical Physics
• Dynamical Large Deviations
• Quantum Many-Body Systems
• +۴ مورد دیگر

Ricardo Gutierrez Diez is an Associate Professor (Profesor Titular) in the Department of Mathematics at University Carlos III of Madrid, where he teaches courses in linear algebra, calculus, differential equations and numerical analysis. He is also a member of the Grupo Interdisciplinar de Sistemas Complejos (GISC), contributing to interdisciplinary research in complex systems. His research focuses on theoretical aspects of statistical physics, with particular emphasis on dynamical large deviations, quantum many-body systems, glassy soft matter, and synchronization phenomena in complex networks. His work bridges physics, mathematics, and network theory, exploring fundamental questions about collective behavior and phase transitions in complex systems. Previously, he also conducted research in experimental neuroscience, developing quantitative approaches to brain connectivity analysis. His publication record demonstrates significant contributions across multiple domains of theoretical physics. His recent work shows a strong focus on dynamical phase transitions, network synchronization, and the application of large deviation principles to complex systems. His research often involves collaborations with leading institutions including the University of Nottingham, Weizmann Institute of Science, and various Spanish universities. His academic journey includes positions as Assistant Professor at University Carlos III of Madrid (2019-2021), Assistant Professor at King Juan Carlos University (2017-2019), Marie Skłodowska-Curie Fellow at University of Nottingham (2015-2017), and Postdoctoral Fellow at Weizmann Institute of Science (2013-2014). He completed his PhD in Physics of Complex Systems at Technical University of Madrid (2010-2013).

Horia Corneanمشاهده پروفایل

استاد

• Mathematical Physics
• Quantum Mechanics
• Spectral Theory
• +۳ مورد دیگر

Horia Cornean is a Professor at the Department of Mathematical Sciences within the Faculty of Engineering and Science at Aalborg University (AAU). His research focuses on mathematical physics, quantum mechanics, and pseudodifferential operators, with particular emphasis on bulk-edge correspondence, spectral theory, and applied mathematics. He leads and participates in multiple projects, including the Classique-Center for Classical Communication in the Quantum Era and Blue Mathematics at AAU. Research Interests: Cornean's work spans mathematical physics, quantum transport theory, and spectral analysis of operators. His fingerprint includes key concepts like Hamiltonian dynamics, magnetic fields, and pseudodifferential operators. Recent projects address quantum communication, fluid dynamics modeling, and acoustic black hole optimization. Collaborations: He works with researchers across Denmark and internationally, including co-investigators in quantum information (Popovski, Pedersen) and applied mathematics (Willatzen, Møller). Active collaborations involve modeling cavitation noise and reusing offshore infrastructure for wind energy.

Norbert Wienerمشاهده پروفایل

استاد

• Mathematics
• Cybernetics
• Stochastic Processes
• +۴ مورد دیگر

Norbert Wiener was a renowned mathematician and professor at the Massachusetts Institute of Technology (MIT) from 1919 until his death. He is best known as the founder of cybernetics, an interdisciplinary field studying control and communication in animals and machines. Wiener earned his bachelor's degree in mathematics from Tufts University (1909) and a PhD in mathematical logic from Harvard University (1913). His academic career included collaborations with luminaries like Bertrand Russell and David Hilbert. His research spanned stochastic processes, Brownian motion, and generalized harmonic analysis, with landmark papers such as 'Differential Space' (1923) and 'Generalized Harmonic Analysis' (1930). Wiener received the Bôcher Prize (1933) and later the National Medal of Science (1963). He co-developed the theory of prediction of stationary time series during WWII, which underpinned cybernetics. His 1948 book 'Cybernetics' popularized the field, influencing robotics, automation, and computer science. Wiener was deeply concerned with the ethical implications of scientific progress, particularly nuclear weapons and AI. His legacy includes the Wiener Award at Tufts for exceptional students and enduring contributions to mathematics and interdisciplinary science.

Andrea MARINمشاهده پروفایل

استاد

• Distributed Systems
• Computer Networks
• Blockchain Technology
• +۴ مورد دیگر

Andrea MARIN is a Full Professor at the Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice. He serves as the Rector's delegate for Orientation and tutoring. His research focuses on Distributed Systems, Cybersecurity, Blockchain Technology, and Performance Evaluation, with emphasis on queuing models, network security, and stochastic analysis. MARIN leads or participates in major projects such as OR²AN²G (Leader), ADAPT (NS), and CINA (PT), addressing topics like quantum key distribution networks, smart city systems, and resilient IoT environments. His work integrates theoretical models with practical applications, such as analyzing blockchain consensus mechanisms (e.g., Verifier’s Dilemma in Proof-of-Work systems) and optimizing data center performance through advanced queuing theory. MARIN’s publications span journals like Electronics and conferences such as International Conference on Artificial Intelligence and Soft Computing, reflecting contributions to both foundational research and applied technologies. Key projects include developing secure IoT systems (SAFE PLACE), enhancing radio access networks (OR²AN²G), and exploring smart-building cybersecurity. MARIN’s research also delves into biomedical case studies, such as dietary impacts on musculoskeletal health, showcasing interdisciplinary reach. Funding sources include EU Horizon 2020 (e.g., MASTER H2020), MIUR (Italian Ministry of Education), and regional initiatives like Veneto POR FESR. MARIN collaborates widely, with colleagues like Peppino Fazio and Sabina Rossi, advancing areas from software aging to distributed resource management.

Boris Vainbergمشاهده پروفایل

استاد

• Mathematical Physics
• Scattering Theory
• Spectral Theory of Differential Operators
• +۳ مورد دیگر

Boris Vainberg is a Professor of Mathematics at the University of North Carolina at Charlotte (UNC Charlotte), where he has been since 1993. He holds a Doctor of Physical and Mathematical Sciences from Moscow State University (1987) and has held previous academic positions, including Professor at Moscow State University (1963–1991) and visiting roles at UNC Charlotte and the University of Delaware. Education: Masters Degree in Mathematics, Moscow State University, 1960 Candidate of Physical and Mathematics Sciences (Ph.D. equivalent), Moscow State University, 1963 Doctor of Physical and Mathematical Sciences, Moscow State University, 1987 Research Interests: Vainberg's work focuses on mathematical physics, scattering theory, spectral theory of differential operators, acoustic and electromagnetic waves, free surface hydrodynamics, and population dynamics. His research explores wave propagation in periodic media, spectral properties of operators, and asymptotic methods. Publications: Recent work includes studies on acoustic wave propagation in 3D periodic media, spectral analysis of Schrödinger-type operators, and the behavior of polymers near critical temperatures. These contributions highlight advancements in understanding wave dynamics, spectral transitions, and critical phenomena. Awards & Grants: No specific awards or grants are listed in the provided materials. Teaching & Advising: While no student advisees are explicitly mentioned, his role as a Professor involves teaching and mentoring at UNC Charlotte.

Evgeny Spodarevمشاهده پروفایل

استاد

• Convex and Stochastic Geometry
• Spatial Statistics
• Limit Theorems for Stochastic Processes
• +۳ مورد دیگر

Prof. Dr. Evgeny Spodarev is a full W3 Professor of Applied Statistics and Director of the Institute of Stochastics at the University of Ulm. He holds a dual academic background from Lomonosov Moscow University (Moscow, Russia) and Friedrich Schiller University Jena (Germany), and has held prominent roles including Dean of Mathematical Studies (2013–2017). His research focuses on convex and stochastic geometry, spatial statistics, limit theorems for stochastic processes, and applications in image analysis and risk modeling. He has organized numerous international conferences and workshops, including the German-Japanese Autumn School on Time Series (2024) and the Stochastic & Integral Geometry conference (2025). Notable awards include the Merckle Research Prize (2005). His work spans theoretical contributions to applied domains like anomaly detection in 3D images and statistical methods for material science. Education: 1991–1996: Diploma in Probability Theory and Stochastic Processes, Lomonosov Moscow University 2001: PhD from Friedrich Schiller University Jena Research Interests: Convex and stochastic geometry Spatial statistics and random field analysis Limit theorems for stochastic processes Image analysis with applications to materials science Anomaly detection in 3D imaging Statistical modeling of natural catastrophes Recent Contributions: His work bridges theoretical probability with applied challenges in engineering and materials science, including geometric methods for fullerene analysis and stochastic models for traffic prediction. Current projects involve anomaly detection in spatial data (DAnoBi) and collaborations with institutions like TU Kaiserslautern. Awards: Merckle Research Prize (2005) Teaching & Leadership: Leads stochastic analysis education at Ulm, supervises graduate students, and has developed courses on stochastic processes and mathematical statistics.

Nidhi Simmonsمشاهده پروفایل

مدرس

• Ultra-Reliable Communications
• Machine Learning for Communications
• 5G/6G Networks
• +۳ مورد دیگر

Nidhi Simmons is a Lecturer and Royal Academy of Engineering Research Fellow at the Centre for Wireless Innovation (CWI), Queen’s University Belfast. Her research focuses on ultra-reliable communications in 5G/6G networks using machine learning approaches. She holds an M.Sc. in Wireless Communications and Signal Processing (University of Bristol, 2012) and a Ph.D. in Electrical Engineering (Queen’s University Belfast, 2018). She secured the £500k Royal Academy of Engineering Research Fellowship (2020–2026) and the EPSRC New Investigator Award (2025–2028), totaling ~£900k in funding. Her work includes wireless channel modeling, physical-layer security, and ML-driven solutions for reliable networks. Research interests span ultra-reliable communications, ML for 5G+/6G networks, and channel characterization. She has published over 30 IEEE articles and received the Best Paper Award at IEEE ANTS 2023. She serves on technical committees for IEEE conferences (GLOBECOM, VTC) and promotes diversity through mentorship programs for underrepresented engineering students. Awards include the Royal Academy of Engineering Fellowship, EPSRC New Investigator Award, and EPS Postdoc Prize. She actively mentors early-career researchers and supports initiatives like IEEE Women in Engineering and Women in Tech Belfast.