جست‌وجوی استاد و پژوهشگر

Jean-Philippe Brantutمشاهده پروفایل

دانشیار

• Quantum optics
• Quantum simulation
• Strongly correlated Fermions
• +۷ مورد دیگر

Jean-Philippe Brantut is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences (SB), the Institute of Physics (IPHYS), and the School of Physics (SPH-ENS). He leads the Laboratory for Quantum Gases (LQG), a research group focused on quantum simulation with ultracold atomic systems. He also serves as a PhD program committee member for the Doctoral Program in Physics at EPFL. Research Interests: His work lies at the intersection of quantum optics, atomic physics, and condensed matter physics. He investigates strongly correlated fermionic systems, cavity quantum electrodynamics, mesoscopic physics, and quantum transport. His group pioneers the integration of Fermi gases with high-finesse optical cavities to simulate quantum devices and explore novel quantum matter. Recent Research Trends: His recent publications, appearing in Nature , Science , and Nature Physics , demonstrate a strong focus on engineering quantum many-body systems using photon-mediated interactions. Key themes include the realization of random spin models, observation of density-wave ordering, and the investigation of universal pair polaritons in strongly interacting Fermi gases. His earlier work laid foundations in quantum thermoelectricity and quantized transport in neutral matter. Scientific Awards: Latsis University Prize (2023) Physics Teaching Award at EPFL (2023) ERC Consolidator Grant (2022): Driven and Dissipative Quantum Simulators ERC Starting Grant (2016): Devices, engines and circuits: quantum engineering with cold atoms Fondation Sandoz Chair (2016) SNSF Ambizione Fellowship (2013) Advising and Grants: Brantut actively supervises multiple PhD students, including current students Gaia Bolognini, Tabea Bühler, Ekaterina Fedotova, Francesca Orsi, and Zeyang Xue, and has advised several successful graduates such as Victor Helson, Kevin Roux, Nick Sauerwein, and Timo Zwettler. His research is supported by major grants, most notably two European Research Council (ERC) grants, underscoring the significance and innovation of his work in quantum simulation and quantum engineering. Laboratories and Teams: He leads the Laboratory for Quantum Gases (LQG) at EPFL, which operates two main experimental setups: the Fermi gas experiment and the microscope experiment. The team includes post-doctoral researchers, PhD students, and visiting scientists, fostering a collaborative environment for advancing quantum science with ultracold atoms.

Kevin C. Zhouمشاهده پروفایل

استادیار

• Computational Imaging
• Biomedical Engineering
• Optical Systems
• +۳ مورد دیگر

Kevin C. Zhou is an Assistant Professor in the Department of Biomedical Engineering at the University of Michigan. His research focuses on developing high-performance computational optical imaging systems with unprecedented spatiotemporal throughput, integrating advanced optical instrumentation with machine learning-driven algorithms to analyze big data in biology and medicine. His lab specializes in creating imaging systems capable of capturing high-resolution, high-speed, and high-dimensional datasets. Dr. Zhou holds a Ph.D. in Biomedical Engineering from Duke University (NSF GRFP Fellow) and a B.S. in Biomedical Engineering from Yale University (Barry Goldwater Scholar). Prior to joining U-M, he was a Schmidt Science Fellow and postdoctoral researcher at UC Berkeley. Key research areas include: High-throughput microscopy (gigapixel-scale systems) 3D tomographic imaging Light field and Fourier-based imaging modalities Machine learning for image reconstruction and analysis Biomedical applications in cellular/molecular imaging His recent work has advanced technologies like multi-camera array microscopes (MCAM/MCAS) and Fourier light field mesoscopes, achieving video-rate 3D imaging of freely moving organisms. These innovations enable applications in digital cytopathology, behavioral tracking, and high-content biological studies. Notable awards include the NSF Graduate Research Fellowship and Barry Goldwater Scholarship. His research has been featured in top journals and conferences with a focus on advancing optical imaging hardware and computational pipelines.

Diego Garlaschelliمشاهده پروفایل

استاد

• Network Theory
• Statistical Physics
• Econophysics
• +۷ مورد دیگر

Diego Garlaschelli is Professor of Theoretical Physics at the IMT School for Advanced Studies in Lucca, Italy, and at the Lorentz Institute for Theoretical Physics, University of Leiden, the Netherlands. He leads the NETWORKS research unit at IMT and the Econophysics and Network Theory group at Leiden. He is also an external faculty member at the Complexity Science Hub in Vienna and an associate member of the Enrico Fermi Research Center in Rome. His affiliations reflect a strong international and interdisciplinary research profile in network science and statistical physics. He holds a master's degree in theoretical physics from the University of Rome III (2001) and a PhD in Physics from the University of Siena (2005). His postdoctoral experience includes positions at the Australian National University, the University of Siena, the University of Oxford, and the Sant’Anna School of Advanced Studies in Pisa. Garlaschelli’s research spans network theory, statistical physics, econophysics, financial complexity, ecological networks, and social dynamics. He applies maximum entropy models, information theory, and random graph frameworks to understand complex real-world systems. His teaching includes courses in Network Theory, Econophysics, and Complex Systems at both PhD and MSc levels. The 15 most recent publications highlight a consistent focus on network reconstruction, ensemble inequivalence, renormalization, and applications to financial and socio-economic systems. Key themes include statistical inference in networks, resilience, and multi-scale modeling, with publications in top journals such as Nature Reviews Physics , Physics Reports , Science , and Physical Review Letters . His scientific awards include the Best Paper Award at the 6th International Workshop on Self-Organizing Systems (2012) and the Jan Kijne Prize (2013) as supervisor. He has secured multiple grants from NWO, the European Union, and the Royal Society, and has supervised over 40 students at PhD, master’s, and bachelor’s levels. He also mentors postdocs and visiting scientists. Garlaschelli leads and organizes major international workshops and schools in network science and complex systems. He serves on scientific committees and is an active referee for journals like Nature and Physical Review Letters , as well as funding agencies including the ERC and NWO.

• Multiscale Modeling
• Multiphysics Modeling
• Biophysics
• +۷ مورد دیگر

Dr. Igor V. Pivkin is a Full Professor at the Institute of Computing within the Faculty of Informatics at the Università della Svizzera italiana (USI) in Lugano, Switzerland. His academic journey includes degrees from Novosibirsk State University (B.Sc./M.Sc. Mathematics), Brown University (M.Sc. Computer Science and Ph.D. Applied Mathematics), and postdoctoral research at MIT's Department of Materials Science and Engineering. His research focuses on multiscale/multiphysics modeling , numerical methods , and large-scale simulations of biological and physical systems. Key areas include biophysics, cellular/molecular biomechanics, stochastic modeling, and coarse-grained molecular simulations. He leverages high-performance computing (HPC) and particle-based methods to address complex biological phenomena. His work spans diverse applications, from understanding cellular mechanosensitivity and biofilm engineering to modeling cancer cell behavior and red blood cell dynamics in the spleen. His contributions bridge computational science, biotechnology, and biomedical research. He has published extensively in top-tier journals, with recent work advancing automated biofilm analysis, deep learning for microbial classification, and systems biology approaches to metal bioleaching. His lab collaborates on interdisciplinary projects, emphasizing computational innovation for real-world biological challenges.

Claudio J. Tessoneمشاهده پروفایل

استاد

• Blockchain Technology
• Cryptocurrency Systems
• Complex Socio-Economic Systems
• +۵ مورد دیگر

Prof. Claudio J. Tessone is a Professor of Blockchain and Distributed Ledger Technologies at the Department of Informatics, University of Zurich. He serves as Head of the Blockchain and Distributed Ledger Technologies group, Chairman of the UZH Blockchain Center, and is incharge of the NetSci Society. His academic background includes a PhD in Physics (Complex Systems) and an Habilitation in Complex Socio-Economic Systems from ETH Zurich. Education: PhD in Physics (2006): Thesis on synchronization in stochastic systems, Universitat de les Illes Balears, Spain Habilitation (2015): Thesis on agent-based modeling of socio-economic systems, ETH Zurich Master in Physics (1999): Thesis on stochastic resonance, Instituto Balseiro, Argentina Research Interests: Prof. Tessone specializes in modeling complex socio-economic and socio-technical systems, with a focus on blockchain-based systems. His work explores crypto-economics, blockchain scalability, decentralized finance (DeFi), and the interplay between micro-level agent behavior and macro-level emergent properties. Notable areas include transaction network analysis in Bitcoin/Ethereum, consensus mechanisms (Proof-of-Stake/Work), and blockchain governance models. Publications Trends: Recent articles emphasize empirical blockchain analysis (e.g., Ethereum microvelocity, Bitcoin mesoscopic structure), DeFi arbitrage strategies, and privacy-preserving blockchain applications in healthcare. His work bridges theoretical agent-based models with real-world blockchain datasets, addressing both technical and socio-economic dimensions of distributed ledger technologies. Grants & Labs: Director of the UZH Summer School on Blockchain and Certificate of Advanced Studies program. Active in interdisciplinary collaborations through the URPP Social Networks (2015–2021) and ETH Zurich’s Systems Design group (2007–2014). Labs/Initiatives: Leads the UZH Blockchain Center, a hub for academic-industry research on blockchain applications in finance, governance, and digital transformation.

• Condensed Matter Physics
• Quantum Information Science
• Topological Insulators
• +۵ مورد دیگر

Taylor L. Hughes is a Professor in the Department of Physics at the University of Illinois at Urbana-Champaign. He focuses on theoretical condensed matter physics, particularly topological insulators/superconductors, quantum information/entanglement techniques, and mesoscopic transport in low-dimensional materials. His research also explores connections between high-energy physics, gravity, and condensed matter systems. Education : B.S. in Physics and Mathematics (2003, summa cum laude) from the University of Florida; Ph.D. in Physics (2009) from Stanford University under Shou-Cheng Zhang. Research Interests : Topological insulators and superconductors Quantum entanglement in condensed matter Mesoscopic transport in heterostructures Topological order and quantum Hall effect Spin-orbit coupling and low-dimensional systems Interdisciplinary links to high-energy physics Scientific Awards : Donald Biggar Willett Faculty Scholar (2020, 2022) ONR Young Investigator Award (2015) University of Illinois Center for Advanced Study Fellowship (2014) NSF CAREER Award (2014) Dean's Award for Excellence in Research (2014) Alfred P. Sloan Foundation Research Fellow (2013) Teaching and Advising : Hughes has taught advanced courses including Condensed Matter Physics I (PHYS 560) and Special Topics in Physics (PHYS 598 CMX). He actively mentors highly motivated undergraduate and graduate students in computational and theoretical physics projects.

Xenophon Papademetrisمشاهده پروفایل

استاد

• Medical Image Analysis
• Machine Learning
• Biomedical Software Development
• +۷ مورد دیگر

Xenophon Papademetris is a Professor of Biomedical Informatics & Data Science and Radiology & Biomedical Imaging at Yale School of Medicine. He serves as Associate Director of Biomedical Imaging Data Sciences at Yale Biomedical Imaging Institute and directs the Medical Software and Medical Artificial Intelligence Certificate Program. PhD in Electrical and Information Sciences from Yale University (2000) BA from Cambridge University (1994) Postdoctoral Fellowship at Yale University (2002) His research focuses on medical image analysis, machine learning, and biomedical software development. He has developed tools like BioImage Suite Web and contributed to standards committees at the Association for the Advancement of Medical Instrumentation (AAMI). His work spans modalities including MRI, CT, PET, and optical imaging. Recent publications emphasize neuroimaging analysis, explainable AI in healthcare, and multimodal data integration across species. He leads NIH-funded research under the BRAIN Initiative (R24 MH114805) and has authored a textbook on Medical Software published by Cambridge University Press. IEEE Senior Member Yale Brown-Coxe Postdoctoral Fellowship Harding Bliss Prize for Excellence in Engineering He directs the BioImage Suite Project, creating web-based image analysis tools using JavaScript and WebAssembly. His teaching includes both academic courses and a Coursera program on Medical Software with over 14,000 enrollments.

Gert-Ludwig Ingoldمشاهده پروفایل

استاد

• Casimir effect
• Dissipative quantum systems
• Mesoscopic physics
• +۲ مورد دیگر

Prof. Dr. Gert-Ludwig Ingold is a Professor of Theoretical Physics at the Institute of Physics, Faculty of Mathematics, Natural Sciences, and Materials Engineering, University of Augsburg. His research spans multiple areas of theoretical physics with emphasis on quantum phenomena in nanoscale systems. His work on the Casimir effect explores interactions between various geometries including spheres, plates, and dielectric materials, with applications in nanotechnology and biophysics. His research on dissipative quantum systems investigates thermodynamic anomalies and quantum Brownian motion. In mesoscopic physics, he studies charge transport through nanoscale structures and quantum interference effects. His work on quantum systems in phase space connects classical and quantum dynamics, while his semiclassical research examines quantum revival patterns and phase-space trajectories. Prof. Ingold's publications reveal a strong focus on the Casimir effect, with numerous papers examining interactions between different geometries and materials. His work demonstrates expertise in both theoretical modeling and numerical methods, as evidenced by his development of the CaPS software for Casimir effect calculations. He frequently collaborates with international researchers, particularly with Paulo A. Maia Neto, Tanja Schoger, and Benjamin Spreng. Prof. Ingold has made significant contributions to physics education through textbooks and popular science books, including Quantentheorie: Grundlagen der modernen Physik and Die 101 wichtigsten Fragen: Moderne Physik . He has co-authored the Python-based educational resource Numerische Physik mit Python and maintains extensive online teaching materials including lecture notes and video tutorials.

• Probability Theory
• Random Discrete Structures
• Random Trees
• +۶ مورد دیگر

Igor Kortchemski is a CNRS researcher at the Department of Mathematics and Applications (DMA) at École Normale Supérieure, Paris, and a lecturer in the Department of Applied Mathematics at École Polytechnique. His primary research focuses on the continuous limits of random discrete models, particularly examining how discrete combinatorial structures converge to continuous objects under appropriate scaling. His educational background includes a PhD in Mathematics (2012) under Jean-François Le Gall at École Normale Supérieure and a Habilitation à diriger des recherches (HDR) in Mathematics (2016). Kortchemski's research spans several interconnected areas: Random trees and Galton-Watson processes with heavy-tailed distributions Random planar maps and their geometric properties Growth-fragmentation processes and their connections to Lévy processes Scaling limits of combinatorial structures and their continuous counterparts His publication record shows a consistent focus on the geometric properties of random discrete structures, with recent work (2023-2025) exploring uniform attachment processes with freezing, critical tree phenomena, and the mesoscopic geometry of sparse random maps. His research often involves sophisticated probabilistic analysis combined with combinatorial insights. Scientific recognition includes: prix de thèse solennel Perrissin-Pirasset / Schneider de la chancellerie des Universités de Paris (2012) Kortchemski actively contributes to academic service: Examiner for the minor math exam at École Polytechnique (FUF) since 2023 Member of the mathematics jury for ENS International Selection (2023) Member of the jury for the external mathematics competitive examination (Agrégation) since 2021 Member of the jury for the Arts and Economic and Social Sciences Bank (B/L) mathematics exams (2015-2018) He mentors the next generation of researchers as co-director of Antoine Aurillard's and Vanessa Dan's theses (both since 2023), and previously directed Etienne Bellin's (2020-2023) and Paul Thevenin's (2017-2020) theses.

Kaushik Nayakمشاهده پروفایل

دانشیار

• Semiconductor Devices
• Mesoscopic Electronics
• Nanoelectronics
• +۳ مورد دیگر

Kaushik Nayak is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology Hyderabad . His research spans semiconductor device physics, mesoscopic electronics, and electro-thermal effects in nanoscale transistors, with recent work on diamond MOSFETs, 2D material contacts, and thermal resistance in nano-sheet FETs. Ph.D., Indian Institute of Technology Bombay M. Tech., Microelectronics, IIT Bombay B.E., Electronics & Telecommunication, Utkal University He teaches advanced courses on semiconductor device modeling, mesoscopic electronics, and electromagnetic wave propagation. His publications focus on nanoelectronics, device variability, and high-temperature operations. Contact: knayak@ee.iith.ac.in .

Hui Caoمشاهده پروفایل

استاد

• Condensed Matter Physics
• Photonics
• Optics
• +۴ مورد دیگر

Hui Cao is the John C. Malone Professor of Applied Physics, Professor of Physics, and Professor of Electrical Engineering at Yale University. Her research focuses on mesoscopic physics, complex photonic materials, nanophotonics, and biophotonics, with experimental investigations into unconventional lasers, coherent light control, and disordered photonic systems. She leads a lab exploring applications in speckle-based imaging, deep-tissue optics, and chip-scale spectrometers. Education: Ph.D. in Physics from Stanford University (1997). Awards include the William E. Lamb Medal (2015), Guggenheim Fellowship (2013), and fellowships from the American Physical Society and Optical Society of America (2007). Research emphasizes random lasers, microcavity lasers, and wavefront shaping to control light in diffusive media. Key innovations include a disordered photonic chip spectrometer and methods to suppress nonlinear instabilities in fiber amplifiers. Awards: 12 major honors including AAAS Fellowship and multiple endowed professorships Patents: 3 core photonic technologies including random laser imaging and fiber amplifier control systems Lab Activities: Developing novel optical devices leveraging disorder and nonlinear effects

Elsa Prada Nuñezمشاهده پروفایل

پژوهشگر

• Condensed Matter Theory
• Quantum Materials
• Topological Insulators
• +۱۴ مورد دیگر

Elsa Prada Nuñez is a Senior Researcher at the Institute of Materials Science of Madrid (ICMM) under the Spanish National Research Council (CSIC) . She leads the Quantum Dynamics of Materials (QUDYMA) group and currently serves as Head of the Theory Department. Her academic career spans multiple institutions, including the Universidad Autónoma de Madrid (UAM), Karlsruhe University, and Lancaster University, with a focus on condensed matter theory and quantum materials. PhD in Physics from UAM (2006) Tenured Scientist at ICMM-CSIC (2020-2025) Senior Researcher at ICMM-CSIC (2025-present) Her research explores quantum phenomena in low-dimensional materials and nanostructures, particularly topological insulators, Majorana zero modes in hybrid nanowires, graphene and 2D crystals, disorder effects, magnetotransport, spintronics, quantum pumping, straintronics, and exciton dynamics. She has directed over 20 students across PhD, Master's, and undergraduate levels, including notable projects on full-shell hybrid nanowires and twisted bilayer graphene. Recent publications highlight advancements in Josephson junctions, Majorana detection, and topological superconductivity in full-shell nanowires. Awards include the Young Female Scientist 2021 from the Royal Academy of Sciences of Spain and Mastercard, and the 2022 Certamen Universitario 'Arquímedes' First Award as a tutor. She has secured significant grants from the Spanish government and European collaborations for projects on quantum materials and topological superconductivity. Principal Investigator for €139,150 Spanish government grant (PID2021-125343NB-I00) Lead on €5,000 ICMM-CSIC grant (2020-2021) Participant in €3.48M EU AndQC project (2019-2023)

• Probability Theory
• Number Theory
• Statistical Mechanics
• +۵ مورد دیگر

Louis-Pierre Arguin is a Professor of Mathematics at Baruch College, City University of New York, within the Weissman School of Arts and Sciences. His academic journey includes a Ph.D. in Mathematics from Princeton University, an M.Sc. in Physics from the University of Montreal, and a B.Sc. in Mathematics from the same institution. His research bridges probability theory, number theory, and statistical mechanics, with a focus on extreme value statistics of the Riemann zeta function and spin glass systems. Key areas include logarithmically correlated random fields, branching random walks, and connections between random matrix theory and number-theoretic functions. His work demonstrates how probabilistic methods can solve deep problems in analytic number theory, particularly regarding the distribution of extreme values of the zeta function on the critical line. Arguin's scholarly impact is reflected in publications in premier journals including Annals of Mathematics , Communications on Pure and Applied Mathematics , and Probability Theory and Related Fields . His research program explores the Fyodorov-Hiary-Keating conjecture, large deviations of Selberg's central limit theorem, and disorder chaos in spin glasses, revealing profound connections between number theory and statistical physics. Award for Excellence in Scholarship (Weissman School, 2022) Bourbaki Seminar Presentation (2019) Andre-Aisenstadt Prize (CRM Montreal, 2015) His mentorship includes supervising doctoral dissertations through Baruch's Mathematics Ph.D. program, while his grant portfolio features multiple National Science Foundation awards, including a CAREER grant focused on statistics of extrema in complex systems. He actively serves on departmental and university committees including the Executive Committee of the Mathematics Department and the Real Analysis Qualifying Exam Committee. Arguin maintains a robust research group collaborating with institutions worldwide and frequently presents at major international venues including the Institute for Advanced Study, Princeton University, and the Centre de Recherches Mathématiques in Montreal.

• Peptide self-assembly
• Amyloid structures
• HIV transmission mechanisms
• +۵ مورد دیگر

Bradley Nilsson is a Professor of Chemistry at the University of Rochester, Department of Chemistry. He leads the Nilsson Group, focusing on peptide self-assembly, amyloid structures, and their applications in biomedicine and materials science. His work bridges organic, biological, and materials chemistry, with notable contributions to amyloid-inspired hydrogels and HIV transmission mechanisms. He received the 2016 Goergen Award for Excellence in Teaching and the 2012 NSF CAREER Award. Education: PhD in Organic Chemistry (2003, University of Wisconsin-Madison), postdoctoral research at UC Irvine. He joined Rochester in 2006. Research interests include molecular recognition in amyloid peptides, SEVI fibrils' role in HIV transmission, and hydrogel development for tissue engineering. His lab has pioneered studies on stimulus-responsive self-assembly and co-assembly of peptides. Key achievements include the reductive trigger for peptide hydrogelation (JACS 2010), and NIH-funded work on anti-HIV microbicides. Current projects explore amyloid-β oligomer toxicity, SEVI mechanisms, and functional biomaterials from simple amino acid derivatives. Lab members include graduate students Elena Quigley, Melissa Jagrosse, Francine Yanchik, Hannah Distaffen, and Chris Jones. The lab collaborates on interdisciplinary projects funded through NIH and NSF grants.

Serge O. Dumoulinمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Neuroscience
• Neuroimaging
• +۸ مورد دیگر

Serge O. Dumoulin is a Professor of Perception, Cognition, and Neuroscience at Utrecht University and Vrije Universiteit Amsterdam. He leads the Computational Cognitive Neuroscience and Neuroimaging group at the Netherlands Institute for Neuroscience and serves as Director of the Spinoza Centre for Neuroimaging , a collaborative facility involving KNAW, AMC, VUMC, and VU Amsterdam. Education: M.Sc. in Biology (Utrecht University), Ph.D. in Neurology and Neurosurgery (McGill University) Research focuses on the intersection of perception, cognition, and neuroimaging, particularly the human visual system. He employs ultra-high field (7T) fMRI, computational modeling, and behavioral studies to explore neural mechanisms of visual perception, attention, and numerical cognition. His work has applications in clinical disorders and methodological advancements like the pRF method, used globally in 100+ institutions. Publications span neuroscience, neuroimaging, and cognitive processes, with a 2023 Advances in MRI Technology paper emphasizing gray-matter optimized fMRI. His 2018 Neuroimage article discusses systematic pRF variations, while a 2021 PNAS study links divisive normalization to visual hierarchy. Awards: Ammodo KNAW Award (2015), NWO Vidi/Vici grants, Neuroimage Editors' Choice Award (2013) Teaching includes courses at Vrije Universiteit Amsterdam on perception, neuroscience, and fMRI data analysis. He emphasizes coding (Matlab/Python) in student internships.