جست‌وجوی استاد و پژوهشگر

• Condensed Matter Physics
• Quantum Physics
• Numerical Methods in Physics
• +۴ مورد دیگر

Guillaume Roux is an Associate Professor at the Laboratoire de Physique Théorique et Modèles Statistiques (LPTMS) within Université Paris Saclay. His research focuses on strongly correlated systems, quantum liquids, and numerical methods like DMRG. He holds a 2014 Habilitation (HDR) and a 2007 PhD from Université Paul Sabatier Toulouse III, with postdoctoral work at RWTH Aachen under Ulrich Schollwöck. Research interests include cold atoms in optical lattices, quantum quenches, and fermionic systems. Key methods involve exact diagonalization and renormalization group techniques. Over 50 peer-reviewed articles explore viral capsid assembly, phase separation, and biomolecular condensates, often using advanced microscopy and single-molecule tracking. Recent work (2023-2025) emphasizes antiviral mechanisms disrupting HBV capsids, viral nucleocapsid dynamics via fluorescence microscopy, and bioinspired nanocapsule engineering. Active in microfluidic self-assembly strategies and polymer membrane design for drug delivery systems. Laboratory affiliations include LPTMS and collaborations with Institut de Physique Théorique (RWTH Aachen). No listed awards, but sustained publication record indicates impactful contributions to theoretical physics and biophysics interfaces.

• Theoretical Physics
• Holography
• Conformal Field Theory (CFT)
• +۵ مورد دیگر

Zoakos Dimitrios is an Assistant Professor in the Department of Theoretical and Mathematical Physics, Astronomy and Astrophysics at the University of Patras, affiliated with the School of Sciences. His research focuses on theoretical physics, particularly holography, conformal field theories, and quantum gravity, with applications to string theory and strongly coupled systems. He is available via email at dzoakos@upatras.gr and holds office hours on Tuesdays 11:00-13:00 and Wednesdays 12:00-13:00 (prior notice requested). His research interests include holographic dualities (AdS/CFT correspondence), defects in conformal field theories, supersymmetric field theories, and non-relativistic systems like Schrödinger geometries. He explores phenomena such as magnetic catalysis, anisotropic fluids, and finite-temperature/finite-density effects in holographic setups. Notable recent work involves codimension-2 defect CFTs, universal SUSY RG-flows, and thermodynamic properties of anisotropic fluids. His studies bridge high-energy physics with condensed matter systems, leveraging string theory to model complex quantum phases. While no formal advising or grant information is listed, his contributions span over 30 publications since 2004, reflecting deep engagement with cutting-edge theoretical physics topics. He is part of the University of Patras Physics Department, contributing to its research infrastructure and educational mission.

• Theoretical Physics
• Quantum Field Theory
• High-Energy Physics
• +۳ مورد دیگر

Mateo Paulišić is a Researcher at the Faculty of Physics, University of Rijeka. His office is located in Ured O-S11, reachable via internal phone 584 639. His research focuses on theoretical physics, particularly in quantum field theory, higher-spin symmetries, and non-commutative geometry. He has published extensively on topics involving Moyal products, gauge models, and spacetime singularities. Paulišić's work explores advanced mathematical frameworks applied to fundamental physics problems, including particle content analysis in higher-spin theories and non-perturbative approaches to gravitational anomalies. His recent articles highlight innovations in gauging symmetries using non-commutative methods and the interplay between algebraic structures and physical phenomena. While no scientific awards are explicitly listed, his prolific publication record indicates significant contributions to theoretical physics. No advising or grant details are provided in the text. His research group likely engages with cutting-edge topics in mathematical physics, though specific lab affiliations are not mentioned. The full academic trajectory and educational background remain unspecified beyond his postdoctoral role.

Daniel Friedanمشاهده پروفایل

استاد

• Quantum Field Theory
• String Theory
• Cosmology
• +۳ مورد دیگر

Daniel Friedan is a Distinguished Professor and founding member of the New High Energy Theory Center (NHETC) at Rutgers University's Department of Physics & Astronomy. His research focuses on quantum field theory, string theory, cosmology, and theoretical physics. He has pioneered work linking 2D renormalization group flows to Einstein's equations and developed mechanisms for large-distance physics and quantum computing design principles. His key achievements include formulating the λ-model connecting quantum string backgrounds to space-time physics, advancing quantum field theories of extended objects in higher dimensions, and proposing near-critical quantum circuit designs for large-scale quantum computers. Friedan has been honored with the 2010 Lars Onsager Prize and membership in the American Academy of Arts and Sciences. Recent teaching includes recitations for General Physics 203 and lectures for Analytical Physics 123. His research spans cosmological models, dark matter dynamics, and foundational questions in high energy physics. Major papers include 'The CGF dark matter fluid' (2022), 'First principles cosmology of the Standard Model epoch' (2022), and 'A pragmatic approach to formal fundamental physics' (2018).

• Fluid Dynamics
• Partial Differential Equations
• Geometric Measure Theory
• +۳ مورد دیگر

Gianluca Crippa is an Associate Professor in the Department of Mathematics and Computer Science at the University of Basel, affiliated with the Analysis research group. His work focuses on differential equations arising from fluid dynamics and geometric measure theory. He contributes to understanding irregular fluid behaviors, such as chaotic flows and advection processes. His research also explores nonlocal conservation laws, mixing phenomena, and transport equations. Crippa organizes the BZ Seminar in Analysis, a collaborative event with the University of Zurich and ETH Zurich. He has published extensively on topics like Euler flows, Navier-Stokes equations, and Vlasov-Poisson systems, with over 50 peer-reviewed articles. His current projects include studies on localized Yudovich spaces and entropy solutions in nonlocal models. Education: Ph.D. in Mathematics (unspecified institution). Research Themes: Fluid dynamics, PDEs, geometric measure theory, advection, and nonlocal phenomena. He collaborates with institutions globally, including SISSA Trieste and ETH Zurich. His work bridges theoretical mathematics and applications in physics and engineering, emphasizing rigorous mathematical analysis of complex systems.

• Complex Networks
• Neuroscience
• Functional Brain Connectivity
• +۳ مورد دیگر

Tommaso Gili is an Assistant Professor at the IMT School for Advanced Studies Lucca, specializing in interdisciplinary research at the intersection of network science, neuroscience, and biomedical engineering. His work focuses on analyzing complex systems through network theory and advanced imaging techniques, with emphasis on brain connectivity, functional networks, and their disruptions in neurological disorders. Key research areas include: Functional and structural brain network integration Multi-scale Laplacian analysis in heterogeneous systems Applications of network theory to medicine (e.g., schizophrenia, epilepsy, inflammatory bowel disease) Development of novel methods for network coarse-graining and renormalization His research leverages fMRI, MRI, and computational modeling to study: Cerebral blood flow dynamics Neurological connectivity alterations Biomedical signal processing Complex disease biomarker discovery Notable contributions include innovations in: Functional connectivity analysis of C. elegans Topological symmetry-breaking in brain networks Machine learning approaches for brain digital twins

• dynamics of neuronal networks
• mechanisms of neuronal information processing
• physics of machine learning
• +۱ مورد دیگر

Prof. Moritz Helias is a Professor and Group Leader of the Theory of Multi-Scale Neuronal Networks at the Institute for Advanced Simulation (IAS-6), Computational and Systems Neuroscience department at Forschungszentrum Jülich. His research focuses on the dynamics of neuronal networks, mechanisms of neuronal information processing, and the physics of machine learning, with a particular emphasis on applying statistical physics methods to these areas. His work bridges theoretical neuroscience and machine learning, exploring how principles from statistical physics can elucidate neural computation and improve neural network models. He investigates transient recurrent dynamics, feature learning in deep networks, and renormalization group techniques to link network and neuron-level correlations. Key contributions include studies on criticality in neural networks, the role of synaptic heterogeneity, and the application of field-theoretic methods to analyze network dynamics and learning processes. His research also addresses challenges in computational neuroscience, such as modeling high-frequency neural activity and optimizing reservoir computing architectures.

Azer Kerimovمشاهده پروفایل

دانشیار

• Functional Analysis
• Approximation Theory
• Potential Theory
• +۲ مورد دیگر

Azer Kerimov is an Associate Professor in the Department of Mathematics at Bilkent University. His research interests include functional analysis, approximation theory, orthogonal polynomials, and statistical mechanics. He teaches a wide range of mathematics courses at undergraduate and graduate levels.

Christopher Herzogمشاهده پروفایل

استاد

• Theoretical Physics
• Quantum Field Theory
• String Theory
• +۴ مورد دیگر

Christopher Herzog is a Professor of Theoretical Physics at King's College London, Department of Mathematics, within the Faculty of Natural, Mathematical & Engineering Sciences. He previously held positions as Associate Professor at the Yang Institute for Theoretical Physics (Stony Brook University) and Assistant Professor at Princeton University. His research focuses on AdS/CFT correspondence, gauge/gravity dualities, and strongly interacting field theories, particularly QCD and string theory applications. He received his PhD from Princeton University in 2002 under Igor Klebanov. Research Interests: Herzog explores quantum field theories using holography and conformal field theory techniques. His work includes boundary CFTs, entanglement entropy, and applications of gauge/gravity duality to condensed matter systems. He is part of a group advancing research in supersymmetry, string theory, and M-theory. Scientific Awards: In 2019, he was awarded the Royal Society Wolfson Fellowship, recognizing his contributions to theoretical physics. Advising & Grants: While specific student names are not listed, his extensive research output indicates active mentorship in theoretical physics. His work is supported by grants related to his cutting-edge research areas. Labs & Teams: Leads the theoretical physics research group at King's College, collaborating internationally on projects in holography and conformal field theory.

• Quantum Physics
• Machine Learning
• Condensed Matter Physics
• +۳ مورد دیگر

Prof. Sabine Andergassen is an Associate Professor at the Vienna University of Technology (TU Wien), heading the Research Group 'Computational Quantum Science'. She is affiliated with the Faculty of Informatics' Machine Learning Department and the Faculty of Physics' 'Correlations: Theory and Experiments' unit. Her roles include Deputy Director of the iCAIML Doctoral College, coordinator of the Quantum Physics Special Interest Group, and Vice Dean for Academic Affairs of the Master’s Programme in Quantum Information Science and Technology. Her research focuses on quantum many-body physics, employing renormalization-group approaches to study materials, cold atomic gases, and nanostructures. She explores machine learning applications for high-dimensional data analysis and investigates how quantum many-body theory can enhance machine learning understanding. Key projects include the Austrian Science Fund (FWF)-funded 'Microscopic derivation of effective Hamiltonians' (2024–2027) and collaborations with CONENGA Engineers GmbH. Recent publications emphasize renormalization-group methods for the Hubbard model, fluctuation diagnostics in quantum systems, and machine learning dynamics of quantum observables. Her work bridges theoretical physics and computational techniques, advancing interdisciplinary research in quantum and machine learning domains. Grants and projects include FWF support and industry partnerships. She supervises students like S. Voith on neural network applications in industrial systems. Academic leadership roles highlight her contributions to doctoral education and interdisciplinary program coordination.

Rostislav Grigorchukمشاهده پروفایل

استاد

• Group Theory
• Dynamical Systems
• Low dimensional Topology
• +۳ مورد دیگر

Rostislav Grigorchuk is a Distinguished Professor in the Department of Mathematics at Texas A&M University, affiliated with the College of Science. His research focuses on Group Theory, Dynamical Systems, Low-dimensional Topology, Discrete Mathematics, Abstract Harmonic Analysis, and Random Walks. He earned his Ph.D. from Moscow Lomonosov State University in 1978. Education: Ph.D., Mathematics, Moscow Lomonosov State University (1978) B.Sc./M.Sc., Mathematics, Moscow Lomonosov State University (1970–1975) Research Interests: Grigorchuk’s work spans group theory and its applications, including branch groups, spectral properties, and dynamical systems. His recent articles explore topics such as subgroup structures, spectral analysis of graphs, and integrable systems. Teaching: He has taught advanced courses like Modern Algebra, Probability, and Linear Algebra, reflecting his expertise in foundational mathematical disciplines. Editorships: He serves on editorial boards for journals including Groups, Geometry, and Dynamics , International Journal of Algebra and Computation , and Journal of Modern Dynamics .

• Theoretical Physics
• Mathematical Physics
• Cosmology
• +۴ مورد دیگر

Professor Kostas Skenderis holds the Chair in Mathematical Physics at the University of Southampton, affiliated with the School of Mathematical Sciences and the Department of Applied Mathematics and Theoretical Physics. He is a member of the String Theory and Holography research group and the Southampton Theory Astrophysics and Gravity (STAG) Research Centre. He has extensive involvement in research projects funded by prestigious organizations such as the Science and Technology Facilities Council (STFC), Royal Society, European Union, and Leverhulme Trust. Notable projects include 'New Frontiers in Particle Physics, Cosmology and Gravity' and 'Holographic Theory for the Very Early Universe,' demonstrating his focus on foundational theoretical physics and cosmology. His research interests encompass theoretical physics, mathematical physics, cosmology, quantum gravity, string theory, and holography. He explores topics like AdS/CFT correspondence, de Sitter spacetime, conformal field theories (CFT), and renormalization techniques, often bridging high-energy physics with gravitational and cosmological phenomena. In 2023, he served as an invited speaker for the 'The ambient space formalism: CFT at finite temperature' event. He currently supervises five PhD students in Mathematical Sciences and Physics, fostering the next generation of researchers in his field. Professor Skenderis collaborates across interdisciplinary projects, including the STAG Research Centre and the Physics Theory Consolidated Grant. His work addresses diverse challenges, from black hole dynamics to inflationary cosmology, leveraging holographic methods and advanced mathematical frameworks.

David Campbellمشاهده پروفایل

استاد

• Condensed Matter Physics
• Nonlinear Dynamics
• Quantum Many-Body Systems
• +۳ مورد دیگر

David Campbell is a Professor of Physics, Electrical and Computer Engineering (ECE), and Materials Science and Engineering (MSE) at Boston University, and serves as Director of Graduate Studies. He holds a Ph.D. from Cambridge University (1970). His research focuses on correlated electronic systems, nonlinear excitations, and non-equilibrium phenomena, including studies of solitons in solids, Bose-Einstein Condensates, and the Fermi-Pasta-Ulam-Tsingou (FPUT) problem. He is renowned for developing functional Renormalization Group (fRG) methods and investigating metastable states in FPUT systems. Key awards include the Julius Edgar Lilienfeld Prize (2010), Gauss Professorship (2014-15), and SigmaPhi Prize (2020). His work spans theoretical physics, quantum many-body systems, and materials science, with contributions to superconductivity, nonlinear dynamics, and precision metrology. Recent articles address metastable FPUT states, Casimir-effect metrology, and functional RG studies of Hubbard models. He collaborates globally on interdisciplinary projects, including machine learning in materials design and MEMS device engineering.

Anders Sandvikمشاهده پروفایل

استاد

• Quantum Monte Carlo
• Quantum Phase Transitions
• Spin Systems
• +۲ مورد دیگر

Anders Sandvik is Professor of Physics at Boston University, specializing in computational quantum many-body systems. He develops quantum Monte Carlo methods to study phase transitions in spin systems, including the stochastic series expansion (SSE) technique. His research explores deconfined quantum criticality, emergent symmetries, and disordered quantum magnets. Recent work investigates multicritical points in SO(5) symmetric systems and quantum criticality in Shastry-Sutherland compounds. Dr. Sandvik has received the Simons Investigator award, Aneesur Rahman Prize, and Guggenheim Fellowship. He teaches statistical thermodynamics and computational physics, with lectures delivered at international schools including Les Houches.

Sahar Sharifzadehمشاهده پروفایل

دانشیار

• Materials Science
• Quantum Mechanics
• Electronic Structure Methods
• +۳ مورد دیگر

Sahar Sharifzadeh is an Associate Professor in the Department of Electrical & Computer Engineering at Boston University's College of Engineering. She holds an affiliation with the Boston University Institute for Global Sustainability (IGS). Her research focuses on predicting and understanding functional material properties using first-principles electronic structure methods, aiming to design novel materials for energy and technology applications. She earned her PhD in Electrical Engineering from Princeton University, an MA from Princeton, and a BS in Electrical Engineering from UC Berkeley. Her research group develops computational frameworks to model quantum mechanical phenomena in materials, including nanotubes, semiconductors, and biological systems. Recent work emphasizes machine learning integration and defect engineering in materials. She has contributed to software tools like Nexmd v2.0 for molecular dynamics simulations. Her advising and grants focus on training researchers in interdisciplinary computational methods. She collaborates with the IGS to advance sustainable energy technologies through material innovation.