جست‌وجوی استاد و پژوهشگر

• Biomechanics
• Motor Control
• Fall Prevention
• +۴ مورد دیگر

Dr. Julian Werth is a Visiting Fellow and postdoctoral researcher at the School of Applied Sciences, London South Bank University (LSBU). He holds the following academic qualifications: MA in Sports and Movement in Gerontological Settings (2016-2018) BSc in Sports Science in Prevention and Rehabilitation (2012-2015) PhD in Human Sciences from LSBU (completed 2023) His research program focuses on biomechanical adaptations in human locomotion and stability control, with particular emphasis on fall prevention strategies. Primary investigations include exercise-induced stability adaptations, transfer of motor skills between virtual and physical environments, and visually-induced gait perturbations. Recent work examines how visual disruptions affect forward-fall resilience in real-world contexts, bridging theoretical biomechanics with practical fall prevention applications. Dr. Werth's publications (15 articles since 2021) demonstrate consistent focus on human movement science, with evolving methodological approaches. Early work established fundamental relationships between aging and stability control, while recent publications increasingly incorporate wearable sensors and virtual reality technologies. Key thematic progressions include: development of fall-detection algorithms, quantification of muscle synergy patterns during balance recovery, and analysis of training transfer limitations between virtual and physical environments. Teaching responsibilities include: Statistics Research Methods Research Projects Clinical and Applied Biomechanics Professional activities include serving as Personal Trainer at Lanserhof at the Arts Club (2019-2023) and maintaining a private exercise coaching practice in London.

Nikos Papanikolaouمشاهده پروفایل

پژوهشگر

• Causal Machine Learning
• Hybrid Modeling
• AI for Science
• +۸ مورد دیگر

Nikos Papanikolaou is a doctoral researcher at the Max Planck Institute for Intelligent Systems in Tübingen and the Max Planck Institute for Biogeochemistry in Jena, Germany. He is affiliated with the Biogeochemical Integration (BGI) department and the Empirical Inference group, focusing on interdisciplinary research that bridges machine learning and Earth system science. His academic background includes a BSc in Physics from the University of Bristol and an MSc in Physics from ETH Zurich . Prior to his current role, he engaged in research and internships in Stuttgart, Basel, and Exeter. Papanikolaou's research interests center on causal machine learning applied to Earth system science . He explores hybrid modeling approaches that integrate data-driven and mechanistic models through structural causal models (Pearl's causal formalism). His previous work in theoretical statistical physics covered active matter, network science, neuroscience , and quantum field theory . He is motivated by interdisciplinary curiosity, aiming to connect theory with real-world impact —for example, improving predictions and quantifying policy decision effects. His genriflow project applies machine learning to music genre classification using features like Chroma, Tonnetz, and Mel spectrogram. He has developed supervised models (CNN, LSTM) and unsupervised approaches (PCA+GMM, autoencoder) with varying success. His GitHub repositories include restflow (renormalization in statistical physics), reaction_diffusion (modeling reaction-diffusion systems), and hyper_AVM (adaptive voter model on hypergraphs), reflecting his engagement with interdisciplinary computational methods. His contact details include an email address: nikos-papanikolaou@hotmail.com . He is based at the Max Planck Institute for Biogeochemistry in Jena, Germany.

Errikos Melissinosمشاهده پروفایل

استادیار

• Macroeconomics
• Finance
• Monetary Economics
• +۳ مورد دیگر

Errikos Melissinos is an Assistant Professor of Finance at Özyeğin University's Faculty of Business. He holds a PhD in Economics from Goethe University Frankfurt, an MA in Economics and Finance from the Barcelona School of Economics, and a Bachelor's in Law from the University of Athens. His research focuses on monetary economics, asset pricing, and computational methods, with special emphasis on real term premia in consumption-based models and solution methods for complex economic models. Prior to his current position, he worked at the Leibniz Institute for Financial Research SAFE and the Deutsche Bundesbank. His research explores topics such as stochastic volatility effects on bond premia, perturbation methods for recursive utility models, and multidimensional skill learning in labor markets. Current work in progress includes analysis of stock market participation and equity premium puzzles, as well as regional Phillips curve dynamics. Teaching responsibilities include courses in Finance (FIN202), Investments (FIN301), and International Finance (FIN401). No scientific awards are explicitly mentioned, though his active research output indicates potential for future recognition. He has no listed advisees/students or grant information in the provided materials. His work frequently intersects with computational techniques applied to macro-finance problems, reflecting a strong methodological focus complementing his theoretical contributions.

• Mathematical Analysis
• Semigroup Theory
• Coagulation and Fragmentation Processes
• +۵ مورد دیگر

Jacek Banasiak is a Visiting Professor in the Department of Mathematics and Statistics within the Faculty of Science at the University of Strathclyde, United Kingdom. He is actively engaged in research in mathematical analysis, particularly in the theory of semigroups and its applications to coagulation-fragmentation processes. His research focuses on coagulation and fragmentation dynamics , semigroup theory , and kinetic models , with applications in population dynamics and engineering mathematics. His work often involves rigorous analysis of integro-differential equations, unbounded operators, and long-term behavior of solutions. He frequently collaborates with Wilson Lamb and other mathematical analysts. The most recent publications demonstrate sustained contributions to the solvability, compactness, and asymptotic analysis of coagulation-fragmentation equations, particularly under power-law and strong fragmentation regimes. His work bridges pure and applied mathematics, contributing to both theoretical developments and modeling in physical and biological systems. The following scientific contributions have been recognized through peer-reviewed publications: Development of analytic fragmentation semigroups Existence and uniqueness results for equations with unbounded rates Study of asynchronous exponential growth in discrete and continuous models Analysis of mass loss in coagulation-fragmentation systems Banasiak has advised students and researchers in the field of mathematical modeling, though specific names are not listed in the source material. There is no mention of external grants or funding sources in the provided texts. He is associated with a research group focused on kinetic theory and evolution equations at Strathclyde.

Filipe C. Menaمشاهده پروفایل

استاد

• Mathematical Physics
• General Relativity
• Differential Equations
• +۲ مورد دیگر

Filipe C. Mena is a Full Professor at the Department of Mathematics, Instituto Superior Técnico (IST), University of Lisbon, Portugal. He serves as the Coordinator of the Doctoral Program in Mathematics at IST and is an active member of the Center of Mathematical Analysis, Geometry and Dynamical Systems (IST). Additionally, he collaborates with the Center of Mathematics at the University of Minho. His research focuses on Mathematical Physics and General Relativity , with expertise in: Differential Equations Differential Geometry Cosmological modeling Gravitational collapse Black hole dynamics Professor Mena's recent publications (2019–2025) predominantly explore themes of spacetime stability , modified gravity theories , and mathematical cosmology , with frequent emphasis on spherical symmetry, asymptotic analysis, and singularity formation. His work demonstrates consistent engagement with Einstein field equations and geometric methods. He actively contributes to academic events, having recently organized the XVII Black Hole Workshop (2024) and XVII Iberian Cosmology Meeting (2023). Outreach initiatives include participation in the European Researchers' Night (2024) and the IST Open Day (2025).

C. Brenhin Kellerمشاهده پروفایل

استادیار

• Geochronology
• Geochemistry
• Continental Crust Evolution
• +۴ مورد دیگر

C. Brenhin Keller is an active Assistant Professor in the Department of Earth Sciences at Dartmouth College since 2019, previously serving as a Postdoctoral Fellow at the Berkeley Geochronology Center and UC Berkeley (2016-2019), and Visiting Scientist at Lawrence Livermore National Laboratory (2016-2019). His research integrates computational, field, and geochronological methods to investigate continental crust formation and its coevolution with Earth's biosphere and surface systems. Education: B.S. summa cum laude in Science of Earth Systems, Cornell University (2010) M.A. in Geosciences, Princeton University (2012) Ph.D. in Geosciences, Princeton University (2016) Dr. Keller's work centers on geochronology and statistical geochemistry , with expertise in zircon dating, crustal evolution modeling, and Bayesian inversion techniques. He develops open-source computational tools like Chron.jl for eruption age modeling and StatGeochem.jl for geochemical resampling, addressing fundamental questions about Earth's history through innovative data-driven approaches. Recent publications show strong emphasis on Bayesian methodologies , zircon trace element analysis , and interdisciplinary connections between solid Earth processes and paleoenvironments. His work spans volcanic-plutonic systems, Great Unconformity studies, and planetary science applications, frequently appearing in high-impact journals like Nature and PNAS. Scientific awards: James B. Macelwane Medal (AGU, 2024) Donath Medal (GSA, 2024) Hisashi Kuno Award (AGU, 2023) Class of 1962 Faculty Fellowship (Dartmouth, 2023) Computational Science Graduate Fellowship (DOE, 2012-2016) He mentors graduate students including Jannitta Yao, Reina Harding, and Alexander Cox, with alumni such as Gailin Pease (M.S. 2021). His research has been supported by DOE and Princeton fellowships, and he actively contributes to open science through software development and large collaborative projects like the Sedimentary Geochemistry and Paleoenvironments Project. Dr. Keller leads a computational geoscience research group developing Julia-based tools for geochronology and geochemistry. His team conducts fieldwork globally across glacial, volcanic, and tectonic settings, including Antarctica, the Himalayas, and North American Cretaceous-Paleogene boundary sites, while maintaining strong connections with Lawrence Livermore National Laboratory.

Gwynn Elfringمشاهده پروفایل

دانشیار

• Biological Fluid Mechanics
• Complex Fluids
• Cell Biomechanics
• +۶ مورد دیگر

Gwynn Elfring is an Associate Professor at the University of British Columbia's Faculty of Applied Science, Department of Mechanical Engineering. Holding a Ph.D. from the University of California, San Diego, and postdoctoral experience at the University of California, Santa Barbara, Elfring bridges applied mathematics with engineering through asymptotic analysis and numerical methods. Education : B.Eng/M.A.Sc. (University of Victoria), Ph.D. (UC San Diego), Postdoc (UC Santa Barbara) Research Focus : Biological fluid mechanics (cell locomotion, fluid-structure interactions), complex fluids (rheology in shear-thinning systems), capillary phenomena (surfactant-stabilized emulsions), and active matter (density gradient responses). Key themes include viscoelastic effects, microscale dynamics, and non-Newtonian fluid behavior. Publications span 2017–2024, with recent work analyzing swimming efficiency in viscosity gradients (2024), active particle motion in density gradients (2024), and rheological responses in micellar gels (2021). Collaborations include J.F. Brady (Caltech) and C. Datt (now at MIT). Awards : UBC Killam Accelerator Fellowship (2021), Dean’s Service Award (2017) Elfring's work combines theoretical modeling with experimental collaborations, emphasizing applications in biomedical engineering and industrial fluid dynamics.

Daniel Peralta-Salasمشاهده پروفایل

استاد

• Dynamical Systems
• Partial Differential Equations
• Differential Geometry
• +۱۳ مورد دیگر

Daniel Peralta-Salas is a CSIC Research Professor and Chair of the Group 'Differential Geometry and Geometric Mechanics' at the Institute of Mathematical Sciences (ICMAT) in Madrid, Spain. ICMAT is a joint research institute of the Spanish National Research Council (CSIC) and several Madrid universities. He is an active researcher with leadership roles in the ICMAT board and multiple international advisory boards. PhD in Mathematics, Universidad Complutense de Madrid, 2006 His research lies at the intersection of dynamical systems , partial differential equations , and differential geometry , with applications in fluid mechanics, plasma physics, quantum mechanics, and mathematical physics. He has developed a unifying theory to study geometrically complex structures in physical models. His work includes proving long-standing conjectures by Arnold, Lord Kelvin, and Michael Berry, and constructing fluid flows that simulate universal Turing machines, thereby demonstrating undecidable dynamics in fluid particle paths. The most recent articles highlight his ongoing focus on steady Euler flows , topological obstructions in magnetic fields , optimal eigenvalue problems , and Turing universality in fluid dynamics . His publications span geometric analysis, spectral theory, and mathematical physics, often combining deep topological insight with PDE techniques. He has developed novel methods such as global approximation and inverse localization, which have broad implications across mathematical physics. His scientific awards include: ERC Starting Grant (2014–2019) Barcelona Dynamical Systems Prize (2015) Plenary Speaker, European Congress of Mathematics (2016) The Floer Lectures (2019) MINT Distinguished Lectures, Tel Aviv (2020) Plenary Speaker at major national and international mathematical societies (2021–2024) EMS Distinguished Speaker (2023) Peralta-Salas advises and collaborates extensively with researchers including Alberto Enciso, Robert Cardona, Eva Miranda, and others. His work has been supported by prestigious grants such as the ERC Starting Grant. He has published over 100 papers in top journals including Annals of Mathematics , Acta Mathematica , PNAS , and Physical Review Letters . He is a member of editorial boards for journals such as Revista Matemática Iberoamericana and Journal of Dynamics and Differential Equations , and serves on the scientific advisory board of IMTECH (UPC-Barcelona Tech). He leads the research group on Differential Geometry and Geometric Mechanics at ICMAT, which focuses on geometric structures in dynamical systems and PDEs. The group explores topics like Beltrami fields, vortex dynamics, and topological aspects of eigenfunctions. Their work is highly collaborative and interdisciplinary, bridging pure mathematics and theoretical physics.

• Artificial Intelligence
• Machine Learning
• Data Science
• +۷ مورد دیگر

Elisabet Golobardes Ribé is a Full Professor at La Salle Digital Engineering School, Ramon Llull University, where she is affiliated with the Engineering Department. She leads and participates in the Research Group on Smart Society and is actively involved in major international research collaborations, particularly with CERN's LHCb experiment. Her research spans artificial intelligence, machine learning, data science, and high-energy physics, focusing on analyzing particle physics data and detecting disinformation in digital societies. She applies computational techniques to fundamental physics problems, including B-meson decays and searches for physics beyond the Standard Model. The body of her recent publications demonstrates a strong trend in experimental particle physics, with numerous contributions to high-impact journals such as the Journal of High Energy Physics and Physical Review D. These works involve amplitude analyses, angular distributions, branching fraction measurements, and constraints on new physics, primarily through the LHCb and ATLAS collaborations. She has secured competitive research funding, including EU grants such as FLAIR and national grants from AGAUR, and serves as Principal Investigator on projects related to AI readiness and disinformation detection. Her work bridges engineering, computer science, and fundamental physics. Notable research projects include: FLAIR (Fostering Learners' AI Readiness) – European Commission-funded project (2024–2026) LHCb-RTA-URL – CERN data challenges and new physics searches (2023–2026) Rapid response for detecting disinformation flows – Internal grant (2021) Research Group on Smart Society – AGAUR-funded network (2022–2025) She is a member of the LHCb collaboration and contributes to large-scale data analysis in high-energy physics experiments. Her work emphasizes computational methods in science and societal applications of AI.

• Mechanical Engineering
• Structural Mechanics
• Applied Mathematics
• +۲ مورد دیگر

Giancarlo Cantarelli is an Associate Professor at the Department of Industrial Engineering (DISTI), University of Parma. He teaches Rational Mechanics (2nd year) and Complements of Rational Mechanics (3rd year) in Mechanical Engineering and Civil & Environmental Engineering programs across multiple academic years (2013-2025). Research Focus: Structural mechanics, stability analysis, and geotechnical engineering Contact: giancarlo.cantarelli@unipr.it Phone: 905839

• Condensed Matter Theory
• Computational Physics
• Materials Science
• +۳ مورد دیگر

Walter Lambrecht is a Perkins Professor of Physics at Case Western Reserve University. His research focuses on first-principles computational methods in condensed matter theory, particularly density functional theory (DFT) and many-body perturbation theory (GW method), applied to novel materials such as semiconductor nitrides, halide perovskites, and layered ultra-thin materials. Education: Lic. Sc., University of Gent (1977) Dr. Sc., University of Gent (1980) Research Interests: Theoretical modeling of electronic and vibrational properties in complex materials. Defects and doping effects in semiconductors. Development of computational tools for band structure and optical property analysis. Collaborations: Works closely with experimental groups, including a team at Victoria University in Wellington, New Zealand, on rare-earth nitrides. Collaborates with Mark van Schilgaarde at Arizona State University on computational method development. Key Projects: Investigation of II-IV-N2 semiconductors and their defect physics. Stability and electronic behavior of halide perovskites for solar cells. Spin-orbit effects in layered materials like MoS2 and V2O5. Magnetic exchange interactions in Mn-doped ScN and gadolinium pnictides.

• Numerical Analysis
• High-Dimensional Problems
• Low-Rank Matrix and Tensor Techniques
• +۴ مورد دیگر

Bart Vandereycken is an Associate Professor in the Mathematics Department at the University of Geneva, specializing in numerical analysis and scientific computing. His research focuses on large-scale and high-dimensional problems solved using low-rank matrix and tensor techniques, with applications in numerical linear algebra, optimization, and nonlinear eigenvalue problems. He previously held positions as an instructor at Princeton University and postdoctoral researcher at EPF Lausanne and ETH Zurich, and earned his PhD from KU Leuven in 2010. His research interests include Riemannian optimization algorithms, multilevel preconditioning, and machine learning applications. He serves as an associate editor for SIAM Journal on Matrix Analysis and Applications and Linear Algebra and its Applications . Bart organizes the Numerical Analysis seminar with colleagues, and advises students interested in numerical analysis or numerical linear algebra. Recent work emphasizes convexity structures in matrix decompositions, robust preconditioning techniques, and scalable low-rank algorithms for high-dimensional PDEs. His 2024–2025 publications explore advancements in Riemannian optimization schemes, subspace iteration methods, and distributed computing applications of matrix decompositions. Key themes include improving convergence guarantees and developing geodesic-based optimization frameworks for challenging numerical problems.

Robert Rahmمشاهده پروفایل

دانشیار

• Functional Analysis
• Harmonic Analysis
• Operator Theory
• +۳ مورد دیگر

Robert Rahm is an Instructional Associate Professor of Mathematics at Texas A&M University, serving as a Faculty Advisor for APMT. His research focuses on functional analysis, harmonic analysis, and operator theory with applications to mathematical physics and partial differential equations. He holds an office at BLOC 332C and can be contacted via math-advising@tamu.edu. Rahm's work emphasizes weighted norm inequalities, sparse operators, and spectral theory. His recent studies explore connections between perturbed potentials and the Riemann zeta function, as well as inverse problems in Schrödinger equations. He has contributed to advancements in Bergman space projections, entropy conditions for operators, and wavelet theory applications. No scientific awards are explicitly listed in the provided materials. His advising role suggests active engagement with student mentorship, though specific advisee names are not documented here. Research collaborations likely involve advanced mathematical modeling and analytical techniques in both pure and applied contexts.

• Quantum Physics
• Atomic Physics
• Attosecond Science
• +۳ مورد دیگر

Prof. Dr. Hunger Brezinova is an Assistant Professor at TU Wien's Institut für Theoretische Physik. Her research focuses on quantum many-body systems, strong-field atomic physics, and reduced density matrix methods. She leads projects on adaptive quantum propagation techniques and two-particle density matrix theories for attosecond correlation dynamics. Main Affiliation: E136 - Institut für Theoretische Physik Key Research Areas: Attosecond Science, Quantum Correlations, Non-Equilibrium Dynamics, Strong Laser Fields Her work bridges theoretical developments with computational methods, particularly in simulating ultrafast electron dynamics in atoms and condensed matter systems. Recent studies include ionization processes in helium, fermionic Hubbard models, and coherence effects in Bose-Einstein condensates. Publications highlight advancements in density matrix formalisms and their applications to non-equilibrium systems. She advises PhD students like Stefan Donsa and Fabian Lackner, contributing to foundational studies in quantum many-body theory.

Diana Qiuمشاهده پروفایل

استادیار

• Materials Science
• Condensed Matter Physics
• Quantum Materials
• +۱۲ مورد دیگر

Diana Qiu is an Assistant Professor in the Department of Materials Science and the Applied Physics program at Yale University's School of Engineering & Applied Science. Her research focuses on quantum materials, computational methods, and light-matter interactions, with applications in optoelectronics, quantum information, and energy technologies. Research Interests: Dr. Qiu's work centers on understanding and controlling quantum excitations in materials through first-principles calculations. Her group develops and applies quantum many-body theories to predict electronic, optical, and excitonic properties of novel materials. Key areas include 2D materials, hybrid perovskites, topological systems, and defect engineering. She investigates how light interacts with electrons in solids, particularly focusing on exciton dynamics, ultrafast responses, and nonlinear phenomena. Her recent publications reveal a strong emphasis on exciton physics, dielectric screening, and many-body effects across diverse material platforms. Using high-performance computing, her group bridges theoretical models with real material behavior, enabling predictive design of tunable and transient quantum materials. Honors and Awards: Presidential Early Career Award for Scientists and Engineers (PECASE), 2025 NSF CAREER Award, 2023 Packard Fellowship for Science and Engineering, 2021 DOE Early Career Award, 2021 Rising Stars in Physics, 2018 Jackson C. Koo Award in Condensed Matter Physics, 2017 Advising and Grants: As a principal investigator, Dr. Qiu leads the Qiu Group and mentors graduate students and postdoctoral researchers in computational materials science. She has secured major funding through the NSF, DOE, and Packard Foundation, supporting her research in quantum materials and exciton engineering. Her group collaborates with experimentalists to validate theoretical predictions and guide material synthesis. Labs and Research Teams: The Qiu Group is based at the Energy Sciences Institute in West Haven, CT, and operates within Yale’s robust infrastructure for computational and materials research. The team leverages high-performance computing resources to perform large-scale simulations of quantum materials.