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Petr KravchukView profile

Senior Lecturer

• Quantum Field Theories
• Conformal Field Theories (CFTs)
• Conformal Bootstrap
• +4 more

Dr. Petr Kravchuk is a Senior Lecturer in Theoretical Physics at the Department of Mathematics, King's College London, within the Faculty of Natural, Mathematical & Engineering Sciences. He holds a PhD from the California Institute of Technology (2018) and has held postdoctoral positions at the Institute for Advanced Study (2018–2021) and the Simons Center for Geometry and Physics (2021). His research focuses on non-perturbative aspects of Quantum Field Theories (QFTs), particularly Conformal Field Theories (CFTs), emphasizing the conformal bootstrap framework and numerical methods. He has received prestigious grants including the European Research Council (ERC) Consolidator Grant (2023–2028) and the Royal Society University Research Fellowship (2023–2025). Key research areas include the structure of CFT spectra (e.g., Regge trajectories, light-ray operators), automorphic forms in bootstrap equations, and applications of high-performance computing (HPC) to extract precise CFT data. His work bridges mathematical rigor with physical insights, addressing topics like AdS/CFT correspondence, asymptotic observables, and detector models in weakly coupled theories. Grants & Projects: CFTSPEC: Spectra of Conformal Theories (ERC Grant) Non-perturbative Approaches to Thermal CFTs (Royal Society) Awards: ERC Consolidator Grant (2023) Royal Society Fellowship (2023) His publications span topics from stress-tensor bootstrap calculations to fusion of conformal defects, with a focus on foundational advancements in CFT methodology. Collaborative work includes applications to AdS gravity and numerical implementations like the blocks_3d software package.

Weiming FengView profile

Professor

• Dynamics and control
• Spacecraft orbit optimization
• Nonlinear vibrations
• +2 more

Weiming Feng is a Professor and PhD Tutor in the Department of Engineering Mechanics at Shandong University's School of Civil Engineering. His research focuses on Dynamics and control, with specific emphasis on Spacecraft orbit optimization. He has published extensively on topics including spacecraft rendezvous, nonlinear vibrations, and optimal control.

• Stochastic Analysis
• Partial Differential Equations
• Fluid Dynamics
• +7 more

Maria Fernanda de Almeida Cipriano Salvador Marques is a Full Professor in the Department of Mathematics at the Faculty of Sciences and Technology, NOVA University Lisbon (UNL), where she is also an integrated member of the Center for Mathematics and Applications (CMA). Her work bridges stochastic analysis and mathematical fluid dynamics, contributing to both theoretical and applied domains. PhD in Mathematics, University of Lisbon, 2001 Her research focuses on stochastic partial differential equations , particularly in modeling Newtonian and non-Newtonian fluid flows under random influences. Key areas include stochastic Navier-Stokes and Euler equations , boundary control problems , and third-grade fluid models with Navier or slip boundary conditions. She also applies stochastic methods to environmental data, such as wind velocity modeling using multivariate random fields. The recent publication trends highlight a strong emphasis on control theory in stochastic fluid systems, existence and uniqueness of solutions in complex fluid models, and large deviations and ergodic behavior in infinite-dimensional stochastic dynamics. Her work appears in top-tier journals like SIAM Journal on Mathematical Analysis and Stochastics and PDEs: Analysis and Computations . She has received recognition through citations (266) and an h-index of 10, though specific awards are not listed. Her research is supported by institutional affiliation with CMA and active collaboration networks, as reflected in her co-authored works. Optimal control of stochastic Newtonian fluids Analysis of stochastic third-grade fluid equations Boundary control for Navier-Stokes systems Random field modeling of wind data Ergodicity and invariant measures in fluid models Large deviation principles for hydrodynamical systems As a senior academic, she likely supervises graduate students and postdoctoral researchers, though no advisees are explicitly named. Her role in the CMA research group underscores her leadership in advancing applied stochastic analysis in Portugal.

Ayşenur UÇARView profile

Assistant Professor

• Differential Geometry
• Applied Mathematics
• Tensor Calculus
• +2 more

Dr. Ayşenur UÇAR serves as an Assistant Professor in the Mechanical Engineering Department (English Program) at Doğuş University's Faculty of Engineering since 2020. Previously, she worked as a Research Assistant in Mathematics at Sinop University (2010-2018) and taught mathematics at a private institution (2019-2020). Education: PhD in Mathematics, Sinop University Institute of Science (2019) MS in Mathematics, Sinop University Institute of Science (2012) BS in Mathematics, Kütahya Dumlupınar University Faculty of Science and Letters (2009) Her research bridges pure mathematics with engineering applications, focusing on differential geometry concepts like generalized Fermi-Walker derivatives and their applications to hypersurfaces and non-rotating frames. She also investigates asymptotic methods for singularly perturbed differential equations with periodic solutions. Her work appears in journals including International Journal of Geometric Methods in Modern Physics and MANAS Journal of Engineering . Teaching load includes core mathematics courses for engineers: Calculus I/II, Linear Algebra, Differential Equations, and Geometry. She has taught both Turkish and English sections since 2020, with increasing responsibilities in foundational mathematics instruction. During her doctoral studies at Sinop University, she participated as a researcher in a scientific research project while publishing in international journals. Her academic trajectory shows consistent specialization in geometric methods with applications to physical systems.

• Condensed Matter Physics
• Superconductivity
• Quantum Transport
• +6 more

Dr. Doru Cristian Sticleț is a distinguished Researcher at the National Institute for Research and Development of Isotopic and Molecular Technologies (INC DTIM) , specializing in Quantum Engineering . With a PhD in Theoretical Physics from Université Paris-Sud (2012) and an MSc from Utrecht University (2009), his work bridges fundamental research and applied quantum technologies. PhD: Theoretical Physics , Université Paris-Sud (2012) MSc: Theoretical Physics , Utrecht University (2009) His research spans Condensed Matter Physics , Superconductivity , Topological Materials , and Quantum Transport . Key areas include Majorana bound states in semiconductor-superconductor hybrids, Berry phases, quantum dynamics in non-Hermitian systems, and Josephson junctions. He leads projects on quantum computation with Schrödinger cat states and stability analysis of organic battery materials via DFT simulations. Recent collaborative projects focus on: Full-stack error-corrected quantum processors using cat codes (2020–2024) Thermodynamic stability of conjugated sulfonamides MOFs for Li-ion batteries (2021–2023) Entanglement in non-Hermitian Hamiltonians (2021–2023) Quantum transport in 2D transition metal dichalcogenides (2020–2022) Foundational work for Romania's participation in the European Quantum Technologies Flagship (2018–2021) His peer-review activities and project coordination roles highlight his contribution to advancing quantum research infrastructure in Europe.

Orlando AlvarezView profile

Professor

• Theoretical Physics
• Elementary Particle Physics
• Quantum Physics
• +3 more

Orlando Alvarez is a Professor at the University of Miami's College of Arts and Sciences, with a primary appointment in the Department of Physics and a secondary appointment in Mathematics. His research spans theoretical physics, geophysics, and mathematical physics, focusing on topics such as topological defects in anti de Sitter (AdS) spacetime, quantum gravity, and gravity field analysis in tectonic regions. Natural and Physical Sciences Mathematics and Technology Elementary Particle Physics Theoretical Physics Field Theory (Physics) Computer Science Alvarez's work in theoretical physics examines topological defects in AdS spaces, deriving exact solutions for Higgs field theories and analyzing perturbations in higher-dimensional embeddings. His geophysics research utilizes satellite gravity data to study tectonic evolution in the Andes and subduction dynamics along the Peru-Chile margin. He has also contributed to foundational works in string theory and quantum gravity, including non-perturbative approaches and relations to KdV theory. Recent publications highlight his interdisciplinary approach, merging differential geometry with cosmological models and applying gravimetric methods to understand geological structures. While no explicit awards or grants are mentioned, his extensive peer-reviewed output underscores his impact in theoretical and applied physics domains.

• Bayesian non-parametric statistics
• Machine learning
• Statistical privacy
• +5 more

Dr Marco Battiston is a Lecturer (equivalent to Assistant Professor) in Statistics at Lancaster University, UK, based in the School of Mathematical Sciences. His research integrates Bayesian non-parametric methods with machine learning, privacy, and modern data-science challenges. Research Interests Bayesian non-parametric statistics and prior construction Statistical machine learning and graphical models Privacy-preserving data analysis and differential privacy Feature allocation, missing mass, and species sampling Variable selection in high-dimensional regression Across 12 peer-reviewed papers (2017–2025) he has advanced theory and methodology for stochastic block models, disclosure risk assessment, robust variable selection and the estimation of small probabilities in feature-sampling settings. His work appears in top outlets such as Journal of Computational and Graphical Statistics , Statistics and Computing , JMLR , and Annals of Applied Probability . PhD Supervision & Collaboration Battiston is actively supervising doctoral researchers (names not disclosed in the source material) and collaborates with international scholars including F. Ayed, C. Nemeth, S. Favaro, Y. W. Teh, and L. Rimella. Contact Email: m.battiston@lancaster.ac.uk Tel: +44 1524 592850 Office: Fylde College, Lancaster University, LA1 4YF, UK ORCID: 0000-0003-0954-1244

• Partial Differential Equations
• Nonlinear Dispersive Equations
• Soliton Theory
• +3 more

Gong Chen is an Assistant Professor in the School of Mathematics at the Georgia Institute of Technology. He received his Ph.D. in Mathematics from the University of Chicago under Professor Wilhelm Schlag. Education: Ph.D. in Mathematics, University of Chicago Chen's research centers on nonlinear partial differential equations with emphasis on dispersive equations and soliton dynamics. His work addresses fundamental questions regarding asymptotic stability, long-time behavior, and uniqueness of solutions for equations including nonlinear Schrödinger, modified KdV, Zakharov-Kuznetsov, and Klein-Gordon systems. He employs rigorous analytical techniques such as spectral theory, Strichartz estimates, and modulation analysis to investigate soliton structures and perturbation effects. Analysis of Chen's 2023-2025 publications reveals consistent focus on soliton stability, scattering theory, and nonlinear recovery problems. Key themes include uniqueness of KP solitons, perturbations by localized nonlinearities, near-soliton dynamics for 2D cubic ZK equations, and asymptotic stability of sine-Gordon kinks. His research frequently establishes stability estimates for nonlinearity recovery from scattering data and classifies multi-soliton structures. No scientific awards are listed in available information. Advising and Grants: Current students: None documented Research grants: Not specified in source material

Stéphan GrilliView profile

Professor

• Coastal Engineering
• Ocean Wave Modeling
• Natural Hazard and Tsunami Modeling
• +5 more

Stéphan Grilli is a Professor in the Ocean Engineering department at the University of Rhode Island . His research focuses on Coastal Engineering , Ocean Wave Modeling , Natural Hazard and Tsunami Modeling , Fluid-Structure Interactions , and Wave Energy Systems . Ph.D. in Hydraulic and Ocean Engineering from the University of Liège, Belgium (1985) M.S. in Physical Oceanography from the University of Liège, Belgium (1983) M.S. in Civil Engineering from the University of Liège, Belgium (1980) Dr. Grilli's work spans tsunami hazard assessment , landslide-induced tsunamis , wave-structure interactions , and numerical modeling techniques such as the Boundary Element Method and Lattice-Boltzmann Method . Recent publications analyze the 2018 Anak Krakatau eruption and the 1908 Messina tsunami, integrating advanced computational methods with field data. His research trends emphasize multi-hazard modeling , hybrid numerical techniques , and coastal resilience strategies against climate change impacts and extreme events . Current projects involve collaboration with NOAA , National Science Foundation , and Creare LLC . Dr. Grilli leads and contributes to grants totaling millions in funding, focusing on tsunami hazard mitigation , floating offshore wind farms , and storm surge prediction . He actively mentors students and collaborates on coastal barrier systems , underwater vehicle hydrodynamics , and renewable energy technologies .

• Asset Pricing
• Climate Finance
• Macro-finance
• +5 more

Prof. Dr. Ole Wilms is an Assistant Professor at the University of Hamburg's Faculty of Business, Economics and Social Sciences , Department of Economics, focusing on Macroeconomics and Fiscal Policy . He also holds a part-time Associate Professorship in Finance at Tilburg University. Education : Ph.D. in Management and Economics from University Zurich, M.Sc. in Quantitative Finance from Kiel University, B.Sc. in Economics from Kiel University. Research Focus : Asset pricing, climate finance, macro-finance, machine learning applications in economics, investor disagreement effects on financial markets, and nonlinear dynamic model methodologies. Publications : Published in top journals including the Journal of Finance , Review of Financial Studies , and Journal of Financial Economics , with recent emphasis on climate risk pricing and economic modeling techniques. Academic Affiliations : Active in research teams at both University of Hamburg and Tilburg University, mentoring doctoral researcher Marlene Renkel. Contact : ole.wilms@uni-hamburg.de

• Analysis
• Applied mechanics
• Calculus of variations
• +6 more

Marco Morandotti is an Associate Professor in Mathematics at the Department of Mathematical Sciences (DISMA) of Politecnico di Torino . He is also a member of the Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing. Research Interests: Calculus of variations, Applied mechanics, Defects analysis, Multi-agent systems, Mathematical modeling. Teaching: Courses include Sobolev spaces, Gamma-convergence, Asymptotic methods for multi-scale problems, and Mathematical Analysis at both PhD and undergraduate levels. Scientific Contributions: His recent publications focus on structured deformations, microswimmer controllability, and Γ-convergence approaches for stochastic particle aggregation. He has co-edited a didactic book on hands-on mathematics. Scientific Awards: Learning to Teach (L2T) badge from Politecnico di Torino (2023) Conference Roles: Program chair for multiscale multi-agent systems, elasticity challenges, and nonlinear analysis workshops. Academic Collaborations: Has held research and teaching positions at Carnegie Mellon University, University of Lisbon, SISSA Trieste, and TU München.

Alexei TsvelikView profile

Adjunct Professor

• Strongly correlated systems
• Low-dimensional magnetism
• Superconductivity
• +11 more

Alexei Tsvelik is a theoretical condensed matter physicist and Senior Physicist at Brookhaven National Laboratory , leading the Condensed Matter Theory group. He also holds an adjunct professor position at Stony Brook University . His career spans institutions including the University of Oxford, Landau Institute, and Kurchatov Institute. Education : Moscow Physical Technical Institute (1977), PhD in Theoretical Physics from Kurchatov Institute (1980). His research focuses on strongly correlated electron systems , utilizing quantum field theory , non-perturbative methods , and integrable models . Key contributions include exact solutions for Kondo and Anderson models, Majorana fermion representations, and studies of spin ladders and topological phases. His recent publications (2024–2025) explore topics like topological Kondo effects , pair density waves , Majorana fermions , and quantum phase transitions in twisted bilayer graphene and kagome metals. Scientific Awards : APS Fellow (2002) Brookhaven Science and Technology Award (2006) Alexander von Humboldt Prize (2014) Eugene Feenberg Memorial Medal (2024) Outstanding Referee by APS (2009) As a Group Leader at Brookhaven , Tsvelik collaborates on cutting-edge research, including the application of quantum field theory to exotic states of matter and the development of models for chiral spin liquids and non-Abelian statistics.

Alexander GelfgatView profile

Professor

• Hydrodynamic Stability
• Bifurcations
• Flow Control
• +8 more

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.

Alessandra GragnaniView profile

Assistant Professor

• Nonlinear Mathematical Modeling
• Bifurcation Analysis
• Control of Nonlinear Dynamic Systems
• +5 more

Alessandra Gragnani is a tenured researcher (Ricercatrice confermata) at the Department of Electronics, Information and Bioengineering (DEIB) of the Polytechnic University of Milan since March 2004. Her academic career began with a Laurea in Electronic Engineering (1994) followed by a PhD in Informatics and Automatics (1998), both from Politecnico di Milano. She has held visiting research positions at prestigious institutions including Max Planck Institute for Demographic Research, Wageningen Agricultural University, and International Institute for Applied Systems Analysis. Professor Gragnani's research focuses on nonlinear mathematical modeling applied to environmental problems, with expertise in bifurcation analysis, control of nonlinear dynamic systems, and discontinuous dynamical systems. Her work bridges theoretical mathematics with practical applications in ecology, environmental management, and social systems. She has developed methodologies for analyzing complex system behaviors including slow-fast dynamics, peak-to-peak dynamics for predicting insect outbreaks, and sliding bifurcations in discontinuous systems. Her recent publications (2020-2024) demonstrate continued active research in mathematical ecology, environmental modeling, and control systems, with applications ranging from lake ecosystem management to forest pest control. The publications reveal a consistent focus on applying nonlinear dynamics to understand and manage complex environmental systems. Professor Gragnani teaches Fundamentals of Automatic Control for mathematicians , covering linear dynamic systems, stability analysis, and control theory. Her teaching approach integrates theoretical concepts with practical MATLAB-based laboratory exercises. Her research has been supported through multiple national projects including PRIN-MIUR grants on nonlinear dynamic networks and chaos applications in information engineering. She has also organized scientific events, including specialized courses on nonlinear dynamics for researchers and doctoral students.

• Heavy-Quark Physics
• Ultra-Relativistic Heavy-Ion Collisions
• Quantum Chromodynamics
• +3 more

Alessandro Grelli serves as Associate Professor in the Gravitational and Subatomic Physics (GRASP) group within the Faculty of Science at Utrecht University. His primary research affiliation is with the ALICE Collaboration at CERN's Large Hadron Collider, where he investigates heavy-quark energy loss and hadronization in ultra-relativistic heavy-ion collisions. His research focuses on heavy-quark physics in extreme nuclear environments, particularly through analysis of charm and beauty quarks as probes of quark-gluon plasma properties. Grelli specializes in heavy-flavor production mechanisms, in-medium energy loss phenomena, and detector development for high-energy nuclear physics experiments. His work bridges theoretical QCD predictions with experimental measurements from the LHC. Recent publications demonstrate strong trends in heavy-flavor production in small collision systems (2019), quarkonium suppression patterns (2018), and detector upgrade initiatives for future LHC runs. His research spans both proton-proton and heavy-ion collision environments, with particular emphasis on D-meson spectroscopy and nuclear modification factors. As Dutch project leader for the ALICE tracker upgrade, Grelli coordinates national efforts toward next-generation detector systems for LHC Run V (planned for 2030). He previously served as coordinator of the ALICE D2H group (2014-2017) and convener of the ALICE heavy-flavour physics working group (2017-2019). Coordinator of Hisparc project for Utrecht region Mentor for high school final projects Instructor for masterclasses in particle physics Grelli actively teaches in both bachelor and master programs at Utrecht University, with courses including Computational aspects of machine learning and Quantum Chromodynamics and dense matter 2 . His outreach activities demonstrate strong commitment to science communication and education at multiple levels.