جست‌وجوی استاد و پژوهشگر

Ömer Gürdoğanمشاهده پروفایل

پژوهشگر ارشد

• Quantum Field Theory (QFT)
• Scattering Amplitudes
• Multi-loop Calculations
• +۳ مورد دیگر

Ömer Gürdoğan is a Senior Research Fellow at the University of Southampton, holding the Royal Society University Research Fellowship. He is affiliated with the Southampton High Energy Physics (SHEP) group and the Southampton Theory Astrophysics and Gravity (STAG) Research Centre. His research focuses on scattering amplitudes in Quantum Field Theory (QFT), multi-loop calculations using bootstrap techniques, and applications of cluster algebras to QFT. He also explores integrable QFTs, notably the Fishnet Model. Ömer's academic background includes a PhD from Queen Mary University of London and postdoctoral roles at the University of Oxford, École Normale Supérieure (Paris), and the University of Southampton. He previously held the UKRI Stephen Hawking Fellowship. His work bridges theoretical physics and advanced mathematics, with contributions to topics like tropical geometry and integrability. Research Projects: New Perspectives In Quantum Field Theory (Royal Society-funded) Cluster bootstrap beyond scattering amplitudes N=4 super Yang-Mills New Frontiers In Particle Physics, Cosmology And Gravity (Science & Technology Facilities Council) His publications span prestigious journals like Physical Review Letters and Journal of High Energy Physics , addressing themes such as form factors, bootstrap techniques, and algebraic structures in amplitudes. He actively supervises PhD students in high-energy physics and theoretical mathematics. Ömer has been honored with fellowships from the Royal Society and UKRI, reflecting his contributions to advancing fundamental physics through innovative mathematical frameworks.

Lance J. Dixonمشاهده پروفایل

استاد

• Scattering Amplitudes
• Precision Higgs Physics
• Standard Model
• +۵ مورد دیگر

Lance J. Dixon is a Professor at SLAC National Accelerator Laboratory , operated by Stanford University. His research focuses on theoretical elementary particle physics , particularly higher-order calculations in perturbative QCD, Standard Model Higgs physics, and gauge-gravity dualities. Current affiliation: SLAC National Accelerator Laboratory, Stanford University Email: lance@slac.stanford.edu Phone: (650) 926-2627 Research Interests include: Scattering amplitudes in quantum field theory Precision Higgs and Standard Model calculations Theoretical methods for collider physics Interconnections between gauge theory and gravity Early universe cosmology applications Publications span multi-loop amplitudes in N=4 SYM, Higgs boson phenomenology, and quantum gravity relations. Key contributions include: High-order QCD corrections for collider observables Hexagon function formalism for amplitude bootstrapping Antipodal duality in eight-loop amplitudes Multi-Regge limit analyses Software Tools developed: Vrap : NNLO Drell-Yan rapidity distributions Hexagon function libraries for amplitude calculations

Tailin Wuمشاهده پروفایل

استادیار

• Generative AI for scientific simulation
• AI Agents for scientific discovery
• Representation learning with graph neural networks
• +۳ مورد دیگر

Tailin Wu is an Assistant Professor at Westlake University in the Department of AI within the School of Engineering . He leads the AI for Scientific Simulation and Discovery Lab , focusing on integrating machine learning with fundamental scientific domains. Previously, he conducted postdoctoral research at Stanford Computer Science (2020-2023) under Jure Leskovec , earned his PhD in Physics from MIT (2019) under advisors Isaac Chuang and Max Tegmark , and completed his BSc in Physics at Peking University (2012). Research Interests : Generative AI for scientific simulation (diffusion models, flow matching), AI agents for automated discovery (neural-symbolic integration), representation learning with graph models and information theory His work spans physics-informed machine learning, with applications in fluid dynamics, energy systems, and life sciences. Key contributions include developing methods for safe PDE control with conformal prediction and creating interpretable theory-learning frameworks through the AI Physicist paradigm. Scientific Awards : Best Poster Award, ICML Time Series Workshop (2019) Outstanding Postdoc, Westlake University (2024) Nominated for Outstanding Youth Paper Award, China Embodied AI Conference (2025) As an educator, he teaches Frontiers in Computer Science and Technology at Westlake University and has guest-lectured at Caltech and MIT. His lab actively recruits postdocs, PhD students, and interns.

Taushif Ahmedمشاهده پروفایل

استادیار

• Theoretical Physics
• High Energy Physics
• Quantum Field Theory
• +۶ مورد دیگر

Taushif Ahmed is a Junior Professor of Physics at the University of Regensburg in Germany. Prior to this, he held postdoctoral positions at INFN Torino/University of Torino (Italy) and the Max-Planck-Institute for Physics (Munich, Germany). Research Focus: Theoretical physics, particularly multi-loop/multi-leg calculations in perturbative QCD and Electroweak theory, Feynman integrals, threshold corrections, collider phenomenology, and effective field theory in gravity. Contact: taushif.ahmed@ur.de

• Particle Physics
• High Energy Physics
• Quantum Field Theory
• +۳ مورد دیگر

Professor Daniel Maitre is a Professor in the Department of Physics at Durham University and a Lecturer in the Institute for Particle Physics Phenomenology (IPPP). His research focuses on advancing computational methods for high-energy physics, particularly at the intersection of particle physics phenomenology and machine learning. His primary research interests include particle physics phenomenology , quantum field theory computations , and machine learning applications in collider physics. Maitre specializes in developing novel algorithms for matrix element emulation, event generation, and negative-weight elimination in Monte Carlo simulations. His work addresses critical computational bottlenecks in predicting multi-jet processes at the Large Hadron Collider (LHC), with emphasis on factorisation-aware neural architectures and equivariant network designs that preserve physical symmetries. Analysis of his 15 most recent publications (2014-2025) reveals a dominant trend toward machine learning integration in high-energy physics. Key focus areas include neural network-based unweighting of events, precision matrix element calculations, and efficient integration methods for complex phase spaces. These innovations significantly enhance simulation accuracy for LHC data analysis, particularly in high-multiplicity jet environments where traditional methods face computational limitations. Scientific Awards: No awards mentioned in available documentation. Maitre currently supervises at least one postgraduate research student (Wendy Gray). His sustained publication record in top-tier journals like Journal of High Energy Physics and Physical Review D indicates active research funding, though specific grants are not detailed. He is a core member of the IPPP, collaborating on cutting-edge projects involving LHC event generation and precision QCD calculations. The Institute for Particle Physics Phenomenology serves as Maitre's primary research hub, facilitating collaborations across global particle physics initiatives focused on next-generation collider data analysis and theoretical advancements.

• Quantum Field Theory
• Particle Physics
• Scattering Amplitudes
• +۳ مورد دیگر

Prof. Johannes Henn is a Director at the Max Planck Institute for Physics and a honorary professor at Ludwig Maximilian University of Munich. His research focuses on scattering amplitudes in quantum field theory, exploring fundamental interactions and symmetries. He discovered hidden Yangian symmetry in N=4 supersymmetric Yang-Mills theory and developed innovative methods for calculating Feynman integrals. His work bridges theoretical and experimental particle physics, contributing to precise predictions for collider experiments like at the LHC. Education: Bachelor/Master: University of Augsburg, Université de Savoie, École Normale Supérieure de Lyon PhD: Laboratoire d'Annecy-Le-Vieux de Physique Théorique (2008) Research Interests: Quantum field theory, scattering amplitudes, supersymmetry, hidden symmetries, Feynman integrals, and their applications in particle physics and cosmology. His work includes exact solutions for bound states and advancements in computational techniques for multi-loop calculations. Key Awards: ERC Consolidator Grant (2017) Johannes Gutenberg Fellowship (2015) Member, Scientific Board of the Université franco-allemande (2021–present) Advising & Grants: Led a research group at Johannes Gutenberg University Mainz (2015–2018). Current leadership at MPI Munich. Active in international collaborations like Belle II and LEGEND experiments. His grants and fellowships reflect sustained recognition in theoretical physics. Labs & Teams: Part of the Max Planck Center for Particle Physics, Cosmology, and Geometry. Collaborates globally on projects such as dark matter detection (CRESST, LEGEND) and gamma-ray astronomy (MAGIC/CTA).

• Computer Algebra
• Combinatorics
• Special Functions
• +۴ مورد دیگر

Carsten Schneider is a Professor and Director of the Computer Algebra and Applications group at the Research Institute for Symbolic Computation (RISC) , part of the Johannes Kepler University Linz , Austria. His work focuses on symbolic summation algorithms, difference rings, and their applications in combinatorics, particle physics, and quantum field theory. Research Interests: His expertise includes Computer Algebra , Special Functions , Perturbative Quantum Field Theory , and Combinatorics . He develops algorithms for simplifying multi-sums and solving recurrences, with applications to Feynman integrals and operator matrix elements in particle physics. Grants & Projects: He leads Austrian Science Fund (FWF) grants such as Symbolic Summation for Computer Science (2024–2028) and Computer Algebra for Multi Loop Feynman Integrals (2021–2025). Past grants include FWF SFB F50 research projects in enumerative combinatorics. Software: He developed the Sigma summation package, used for symbolic computation in multi-loop calculations. His tools are widely applied in particle physics and combinatorics. Teaching & Mentoring: Teaches courses like Algorithmic Combinatorics and Computer Algebra at JKU. Organizes workshops and co-chairs conferences like SYNASC and RADCOR . Active in supervising international training networks such as the SAGEX Marie Curie project. Editorial Roles: Editorial board member of journals like Journal of Symbolic Computation and Annals of Combinatorics . Co-edited volumes on symbolic computation in physics and combinatorics.

Carlos I. Perez-Sanchezمشاهده پروفایل

پژوهشگر

• Mathematical Physics
• Noncommutative Geometry
• Random Matrices
• +۷ مورد دیگر

Carlos I. Perez-Sanchez is a postdoctoral researcher at the Institute for Theoretical Physics , University of Heidelberg, working under Răzvan Gurău . He previously held postdoctoral positions at the University of Warsaw (2021) and completed his PhD in mathematics at the University of Münster under Raimar Wulkenhaar. His research spans mathematical physics , focusing on random noncommutative geometry , tensor field theory , and their intersections with quantum gravity , functional renormalization , and bootstrap methods . His work on noncommutative geometry involves quantizing spectral triples via random matrices and unitary matrix ensembles to model gauge-Higgs theories and quantum gravity. He has advanced tensor field theory through topological recursion and Ward-Takahashi identities , bridging combinatorial structures with physical partition functions. His recent focus on functional renormalization (Wetterich equation) explores the renormalization group flow in multi-trace matrix models and free algebra frameworks. Publications include 15 recent articles (2025–2018) on topics like loop equations , Borel summability , and quiver-based noncommutative geometries . He co-organized workshops such as The QFT Path (2024) and Random Geometry in Heidelberg (2022), and has delivered talks at institutions in Bordeaux, Vienna, Warsaw, and Okinawa. His teaching includes Theoretical Statistical Physics and Large-N Methods in Field Theory at Heidelberg.

• High-Energy Physics
• Particle Physics
• Quantum Chromodynamics (QCD)
• +۳ مورد دیگر

Prof. Zoltan Kunszt is a retired Adjunct Professor at the Department of Physics, ETH Zürich. He has held academic positions since 1968, including roles at L. Eötvos University in Budapest and visiting scientist appointments at CERN, DESY, and other institutions. His research focuses on high-energy accelerator physics, quantum chromodynamics (QCD), and theoretical particle physics. Kunszt has contributed to collider physics, precision calculations, and Monte Carlo methods for collider experiments. He obtained his PhD in 1971 from L. Eötvos University. His work spans over five decades, addressing topics such as scattering amplitudes, unitarity methods, and Higgs physics. Research Themes: High-energy physics accelerators (LEP, HERA, Tevatron, LHC), QCD dynamics, loop calculations, Monte Carlo simulations, and precision collider phenomenology. Key Contributions: Development of numerical unitarity techniques, NLO QCD calculations, and Higgs production studies via gluon fusion. His work underpins theoretical tools used in analyzing particle collisions at CERN and other facilities. Publications: Over 30 articles, including foundational work on one-loop amplitudes, unitarity methods, and Monte Carlo tools for collider experiments. Recent contributions focus on precision techniques in quantum field theory.