جستجوی استاد راهنمای دانشگاهی

• Atmospheric sciences
• Climate change science
• Geology
• +۳ مورد دیگر

Sebastian Hoch is an Adjunct Associate Professor in Atmospheric Sciences at the University of Utah. His research focuses on boundary layer processes in complex terrain , particularly examining radiation and surface energy balance effects on boundary layer evolution and terrain-driven flows. Education: PhD in Natural Sciences (Earth Science) from ETH Zurich (2006) Languages: German His research integrates atmospheric sciences , climate change science , and geophysics , with specific emphasis on pollution monitoring , mountain meteorology , and fog dynamics . Recent publications analyze freezing fog microphysics, coastal fog formation mechanisms, and complex terrain wind energy potential using WRF-COAMPS modeling. Grant-funded projects include: COLD FOG AMONGST COMPLEX TERRAIN (CFACT) 2021-2025 RED BUTTE AIR EXCHANGE STUDY 2019-2020 OWENS LAKE LIDAR STUDY 2018 MODELING FOR FASMEE 2018-2021 MATERHORN program 2011-2017 As educator, he has taught Experiential Learning II and Mountain Weather & Climate courses (2023-2024). His work combines extensive field measurements with high-resolution modeling to address atmospheric boundary layer dynamics in complex environments.

• Biomechanics
• Neuroscience
• Human Locomotion
• +۴ مورد دیگر

Jonathan Matthis is an Assistant Professor in the Department of Biology at Northeastern University. His research focuses on the interplay between biomechanics, visual perception, and motor control during natural human locomotion. Research Themes: Visual control of gait, optic flow analysis, terrain navigation, motion capture technology, and sensorimotor integration. Key Contributions: Development of the FreeMoCap open-source motion capture system; studies on retinal motion statistics, gaze-foot coupling, and decision-making in complex environments. Contact: j.matthis@northeastern.edu , Mugar Life Sciences Building, Boston, MA. His work integrates eye tracking, motion capture, and photogrammetry to analyze how humans adapt to uneven terrain. Recent projects explore visual discriminability in Augmented Reality stepping tasks and phase-space planning methods for obstacle navigation.

Georgios Petropoulosمشاهده پروفایل

استادیار

• Remote Sensing
• Geographic Information Systems
• Digital Cartography
• +۷ مورد دیگر

Georgios Petropoulos is an Assistant Professor of Geoinformatics at the Department of Geography, Harokopio University of Athens, Greece, where he has been teaching since 2020. His expertise spans Earth Observation technology, Geographic Information Systems, and remote sensing applications for environmental monitoring and geohazard assessment. He has previously held academic positions at Aberystwyth University in the UK and has been involved in numerous research projects related to land surface process modeling and remote sensing. His educational background includes: PhD in Earth Observation Modelling from King's College London, University of London (2008) MSc in Remote Sensing from the intercollegiate program between University College London, King's College London, and Imperial College (2002) BSc in Natural Resources Development & Agricultural Engineering from the Agricultural University of Athens (1999) Dr. Petropoulos specializes in the application of Earth Observation technology for understanding land surface interactions and feedback processes. His research focuses on utilizing remote sensing synergistically with land surface process models to derive key state variables of the Earth's energy balance and water budget. He has extensive experience in using advanced remote sensing technology for land use/cover mapping, vegetation properties retrieval, and geohazard assessment including floods, wildfires, and frost events. His work also involves developing open-source software tools for Earth Observation and implementing comprehensive benchmarking approaches for remote sensing algorithms. Dr. Petropoulos has received numerous prestigious awards and fellowships throughout his career, including: Marie Curie Individual Fellowship (2017) Senior Fellow of the UK Higher Education Academy (2015) Marie Curie Reintegration Grant (2013) European Space Agency fellowship (2010) Excellent Associate Editor Award for journal Environmental Modelling & Software (2021) Best conference poster award at the Asian Conference on Remote Sensing (2018) As an educator, Dr. Petropoulos has taught undergraduate and postgraduate courses in cartography, geoinformatics, remote sensing, and GIS at multiple institutions including Harokopio University, Aberystwyth University, and the Agricultural University of Athens. He has secured competitive research funding from various sources including the European Commission, ESA, and national research councils. His editorial work includes serving as an editor for Elsevier's Book series in "Earth Observation" and as an editorial board member for several international journals. Dr. Petropoulos is actively involved in international research collaborations and has contributed to numerous scientific committees and working groups related to Earth Observation standards and validation approaches. His current research continues to advance methodologies for soil moisture retrieval, land surface temperature estimation, and environmental monitoring using multi-sensor remote sensing approaches.

Peter-Michael Kaulمشاهده پروفایل

استاد

• Sensor Technology
• Explosives Detection
• Chemical Sensors
• +۷ مورد دیگر

Prof. Dr. Peter-Michael Kaul is a Professor of Physics, Statistics and Measurement Technology at the University of Applied Sciences Bonn-Rhein-Sieg (H-BRS), where he serves as Research Professor and Founding Director of the Institute for Security Research (ISF). He is also a member of the University Council and the Research Commission of H-BRS. His academic career spans over two decades at the university, with significant leadership roles including Vice Dean of the Department of Biology, Chemistry and Materials Engineering (1999-May 2002), Prorektor für Lehre (Vice President for Teaching and Studies) (May 2002-Oct 2005), and Dean of the Department of Applied Natural Sciences (Oct 2005-Nov 2007). Since November 2010, he has been deputy director of the Institute for Detection Technologies, and since January 2011, he has served as Director of the Institute for Security Research. Prof. Kaul's research interests focus on: Sensor technology and actuation systems Microsensors and mass-sensitive sensors Chemical and biosensors for gaseous and liquid media Sensor signal processing and multisensor systems Intelligent sensor systems Explosives detection technologies and Counter-IED methods Laser drilling and gas analytics for security applications Instrumental analytics for explosive and odor component detection His recent publications demonstrate a strong focus on advanced sensor technologies for security applications, particularly in the detection of explosives and hazardous materials. His work spans from fundamental sensor development (such as semiconductor gas sensors, Raman spectroscopy, and SERS substrates) to practical applications in security screening and explosives detection. A significant portion of his research involves the development of specialized detection systems for triacetone triperoxide (TATP) and other energetic materials, often using innovative approaches like laser initiation and acoustic monitoring. His team also works on improving the reliability of explosives detection dogs and developing algorithms for sensor data validation. Prof. Kaul has received funding for numerous research projects, including: TeamUP: Addressing CBRN-E events (Chemical, Biological, Radiological, Nuclear, and Explosive hazards) DigitalTwin-4-Multiphysics-Lab: Urban digital twins and multiphysics twins for industry NAkSU: New analysis methods for complex security and environmental data WireLife: Lifetime of new aluminum wires in power electronics SYNergie: Detection and inactivation of Synchytrium endobioticum in potatoes ReDeX: Reductive treatment method for removal of disinfection by-products from drinking water PräventinS: Prevention strategy for invasive pests like the Asian longhorned beetle ALBERO: Safe integration of alternative vehicles in roll-on/roll-off ferry traffic FHInvest: Field emission electron microscope with computed tomography for materials development Prof. Kaul leads the Institute for Security Research and has been instrumental in establishing security research as a key focus area at H-BRS. His work bridges fundamental sensor research with practical security applications, particularly in the areas of explosives detection and counter-terrorism technologies. He collaborates extensively with industry partners, government agencies, and international research institutions to develop innovative security solutions.

• Computational Chemistry
• Molecular Dynamics
• Quantum Chemistry
• +۵ مورد دیگر

Massimiliano Aschi is a Full Professor in the Department of Chemistry, Materials and Chemical Engineering at the University of L'Aquila, Italy. His academic focus lies in scientific-disciplinary sector CHIM/03 - General and inorganic chemistry, with expertise spanning computational chemistry, molecular dynamics, and quantum chemical simulations. Professor Aschi's research interests center on the application and implementation of algorithms for numerical simulation of atomic-molecular systems for modeling chemical observables (thermodynamic, kinetic and spectroscopic). His work bridges theoretical chemistry with practical applications in areas such as: Computational spectroscopy and vibrational analysis Molecular dynamics simulations of complex systems Statistical mechanics applications to chemical thermodynamics and kinetics Quantum mechanical modeling of chemical systems Liposome and membrane biophysics Chiral molecule analysis and spectroscopy His recent publication trends show a strong focus on computational approaches to understand molecular behavior in various environments. He has published extensively on statistical mechanics applications, vibrational spectroscopy, and the behavior of molecules in liposomal and nanostructured environments. His work often combines experimental validation with sophisticated computational models, particularly in the areas of chiral recognition, membrane interactions, and quantum dynamics of chemical systems. The research demonstrates a consistent integration of computational methods with experimental chemistry across multiple subdisciplines from pharmaceutical applications to environmental remediation.

• Computer Vision
• 3D Reconstruction
• Medical Image Analysis
• +۳ مورد دیگر

Christopher Zach is a Research Professor at Chalmers University of Technology, affiliated with the Signal Processing and Medical Technology department within the Digital Image Systems and Image Analysis research group . His work focuses on 3D reconstruction , real-time computer vision , and numerical optimization for machine learning. Develops 3D image understanding techniques Specializes in robust optimization for vision systems Leads research in medical image analysis Recent publications demonstrate expertise in low-light text enhancement , out-of-distribution detection , and domain adaptation for industrial applications. Active in Chalmers' Wallenberg AI and ÅForsk funded projects. Collaborates with researchers from Volvo Group , Volvo Cars , and SAFER Vehicle Safety initiatives.

Robert Dicksonمشاهده پروفایل

استاد

• Physical Chemistry
• Spectroscopy
• Fluorescence Imaging in Biology
• +۵ مورد دیگر

Robert Dickson is the Vasser Woolley Professor of Chemistry at the Georgia Institute of Technology. His research group develops advanced spectroscopic, statistical, and imaging technologies for studying biological dynamics in medicine and nanoscale systems. The lab specializes in novel nanomaterials , particularly noble metal quantum dots for ultrasensitive imaging, and optically modulatable fluorescent proteins for background-free biological visualization. Their work has been recognized through multiple awards including the Camille Dreyfus Teacher-Scholar Award and NSF CAREER Award . Education: B.A. from Haverford College (1991), Ph.D. from University of Chicago (1996) Affiliation: Georgia Tech College of Sciences, Department of Chemistry and Biochemistry Research Interests span three major areas: Nanomaterials for Imaging : Developing ultrabright biodegradable Ag/Au nanoclusters with ligand-tunable emission from blue to near-infrared, utilizing dark states for optical modulation and background suppression Optical Modulation Imaging : Engineering fluorescent proteins with controllable dark states for enhanced sensitivity in live cell imaging, enabling discrimination of bound vs. diffusing species and quantitative protein interaction studies Bioinformatics for Diagnostics : Creating adaptive multidimensional statistical metrics to reduce antibiotic susceptibility testing time from 48 hours to 4 hours, with ongoing work to shorten blood culture steps to 10-hour total treatment identification Scientific Awards include Vasser Woolley Chaired Professor Camille Dreyfus Teacher-Scholar Award Alfred P. Sloan Foundation Fellow National Science Foundation CAREER Award Senior Editor, Journal of Physical Chemistry

• Bose-Einstein condensate
• Atom interferometry
• Quantum magnetism
• +۲۲ مورد دیگر

Olivier Gorceix is a Professor at Paris 13 University, affiliated with the Laboratoire de Physique des Lasers. His research focuses on atomic physics, quantum interferometry, and quantum magnetism. Bose-Einstein condensates (BEC) Spinor and dipolar quantum gases Atom optics and interferometry Quantum phase transitions and Berry phases Magnetic field manipulation of cold atoms His publications in Physical Review Letters , Physical Review A , and Journal of Physics B emphasize ultracold atoms, quantum coherence, and dipolar interactions. Key topics include: Spin dynamics in quantum gases (2016, 2013) Quantum phase shifts and interferometry (1996, 1994) Relativistic effects in atomic systems (1988, 1987) Magnetic field engineering of atom clouds (2002, 2000) He is based in the Department of Physics, contributing to research on cold atom beam production and fundamental quantum tests.

Quentin Mérigotمشاهده پروفایل

استاد

• Optimal Transport
• Inverse Problems
• Numerical Analysis
• +۱ مورد دیگر

Quentin Mérigot is a Professor in Applied Mathematics at the University of Paris-Saclay, affiliated with the Faculty of Science at Orsay and the Institut de Mathématique d'Orsay. He serves as the Director of the Master in Optimization program, a joint initiative between University of Paris-Saclay and Institut Polytechnique de Paris. Dr. Mérigot completed his Doctoral Thesis at the University of Nice Sophia-Antipolis in 2009, followed by a Habilitation à diriger les recherches at the University of Grenoble in 2014. His research focuses on the intersection of optimal transport theory, numerical analysis, and geometric methods for data analysis. Mérigot has made significant contributions to the development of numerical methods that leverage optimization and computational geometry techniques. His work spans theoretical foundations and practical applications, including seismic tomography, reflector design, and crowd motion modeling. He is particularly known for his work on stability properties of optimal transport maps and the development of efficient algorithms for solving optimal transport problems. Analysis of Mérigot's recent publications reveals a strong focus on quantitative stability properties of optimal transport maps, with applications spanning from machine learning to optics and fluid dynamics. His work demonstrates a consistent theme of bridging theoretical mathematical analysis with computational methods, particularly through the development of Lagrangian discretization techniques and Newton-type algorithms for solving complex geometric problems. Junior member of the Institut universitaire de France (IUF) Professor Mérigot has supervised numerous PhD students including Alex Delalande, Anatole Gallouët, Clément Sarrazin, Jocelyn Meyron, and Julien André. He has also hosted several postdoctoral researchers such as Jean-Baptiste Keck, Andrea Natale, Federico Stra, Thomas Gallouët, and Hiba Abdallah. His current research projects include PEPR PDE-AI and OT @ Lagrange, which likely represent significant collaborative efforts with funding support. Mérigot is an active member of the mathematical community, with his research bridging pure mathematical analysis, computational methods, and practical applications across various scientific domains. His work demonstrates the power of optimal transport theory as a unifying framework for diverse problems in mathematics and its applications.

Lindsay Glesenerمشاهده پروفایل

دانشیار

• Astrophysics
• Solar Physics
• High-Energy Astrophysics
• +۳ مورد دیگر

Lindsay Glesener is an Associate Professor at the School of Physics and Astronomy , University of Minnesota . Her research focuses on solar astrophysics, particularly solar flares and coronal mass ejections, using ultraviolet and X-ray data to study particle acceleration mechanisms. Current projects include the FOXSI-5 sounding rocket experiment and development of CubeSats for high-precision X-ray measurements. Collaborative efforts span institutions like NASA, UC Berkeley, and Johns Hopkins University. Her work intersects X-ray astronomy , space physics , and instrumentation development , contributing to understanding energetic phenomena in the solar system. Recent publications highlight advancements in X-ray focusing telescopes , non-thermal emission analysis, and magnetic reconnection studies. Projects like EXACT CubeSat emphasize practical applications in X-ray navigation and timing .

Patrick Kellyمشاهده پروفایل

دانشیار

• Supernovae
• Gravitational lensing
• SN host-galaxy environments
• +۷ مورد دیگر

Patrick Kelly is an Associate Professor in the School of Physics and Astronomy at the University of Minnesota, where he also serves as the MIfA Director of Graduate Studies. His office is located in John T. Tate Hall in Minneapolis. Dr. Kelly's research focuses on Supernova explosions , Gravitational lensing , SN host-galaxy environments , SN Ia cosmology , Stellar populations , Star formation , and Dark matter . His work has established him as a leading expert in using gravitational lensing to study distant supernovae and magnified stars. The fingerprint analysis of his research outputs shows strong emphasis on Supernovae Physics (100%), Lensing Keyphrases (63%), Galaxy Clusters Physics (58%), and Galaxies Keyphrases (53%). His recent publications reveal a strong trend toward utilizing the James Webb Space Telescope for groundbreaking discoveries in gravitational lensing and supernova cosmology. His team has identified more than 40 gravitationally magnified stars in distant galaxies and made the first measurement of the Hubble constant from a multiply imaged Type Ia Supernova using JWST data. His research bridges observational astronomy with cosmological theory, particularly in understanding dark matter distribution through lensing phenomena. Dr. Kelly leads multiple significant research projects including: Early Stars -- Properties of Lenses Stars at z~7 (NASA, 2025-2028) Reanalysis of the Core-Collapse Supernova Rate at Cosmic Noon in the Archival HST Imaging (NASA, 2025-2028) SNAP Survey for Strongly Lensed Supernovae and Magnified Stars (NASA, 2025-2028) Using TURBO to Resolve Shock Breakout from Supernovae (NSF, 2024-2027) He is an active member of the LSST Dark Energy Science Collaboration and WFIRST Science Investigation Team, contributing to major cosmological surveys. His research has been widely recognized, with numerous publications receiving significant attention across news outlets, social media, and academic platforms.

• Probability Theory
• Stochastic Processes
• Mathematical Physics
• +۴ مورد دیگر

Sonia Mazzucchi is a Full Professor in the Department of Mathematics at the University of Trento, specializing in probability theory, stochastic processes, and mathematical physics. Her research focuses on Feynman path integrals, quantum mechanics, and operator theory, with recent extensions into quantum information and photonics applications. She teaches core courses including Probability Calculus II, Mathematics and Statistics II, Quantum Information, and Stochastic Processes. Her research interests bridge abstract mathematical theory with practical quantum technologies. She investigates stochastic processes for modeling quantum systems, develops rigorous mathematical frameworks for path integrals on Lie groups, and applies probability theory to quantum random number generation and LiDAR systems. Her work combines functional analysis, measure theory, and differential equations to solve problems in quantum mechanics and information science. Recent publications (2022-2025) reveal a strong interdisciplinary trajectory merging mathematical physics with quantum engineering. Key trends include quantum random number generators using single-photon entanglement, SPAD-based LiDAR innovations for photon flux measurement, and advanced treatments of path integrals on Riemannian manifolds. Her work demonstrates consistent progression from foundational mathematical theory to quantum technology applications. No scientific awards are documented in the available information. Details regarding graduate student supervision and research grants are not specified in the source materials. Her academic activities center on teaching core mathematics courses and publishing in high-impact journals spanning mathematical physics and quantum information science.

Philippe Ciblatمشاهده پروفایل

استاد

• Statistical Signal Processing
• Digital Communications
• Resource Allocation
• +۶ مورد دیگر

Philippe Ciblat is a Full Professor at Institut Polytechnique de Paris , affiliated with the Communications and Electronics Department (Comelec) and the Information Processing and Communication Laboratory (LTCI) . He obtained his Engineering Degree from Télécom Paris (1996), DEA in Automatic Control from Université Paris-Saclay (1996), PhD from Université Gustave Eiffel (2000), and HDR diploma (2007). After a postdoctoral fellowship at Université de Louvain (2001), he joined Télécom Paris as Associate Professor in 2001 and was promoted to Full Professor in 2011. Research Activities: His research spans three core areas: Statistical/Digital Signal Processing (blind equalization, frequency estimation, distributed estimation) Signal Processing for Communications (OFDM synchronization, UWB localization, cooperative communications) Resource Allocation (HARQ optimization, power allocation, distributed networks) Scientific Leadership: He has served as Associate Editor for IEEE Transactions on Signal and Information Processing over Networks (2018-2022), Senior Area Editor for IEEE Transactions on Signal Processing (2011-2012), and held editorial roles in IEEE Communications Letters and Transactions on Signal Processing. He chairs technical committees at EUSIPCO, SPAWC, and IEEE conferences. PhD Supervision: He has mentored 23 PhD students, including Current: Nils Reynaud (deep reinforcement learning for wind farms), Abdelghani Ghanem (multi-agent driving behavior), Sylvain Nerondat (deep reinforcement learning for ad hoc networks) Former: Yue Bi (distributed computing), Hakim Hafidi (robust graph ML), Arthur Louchart (nonlinear satellite systems), Vincent Corlay (lattice decoding), Alix May (optical network monitoring) Grants & Collaborations: Currently leads projects with TotalEnergies (2025-2028), PEPR Twinfarms (2025-2028), and ANR SUCCEN (2025-2027). Formerly secured ANR, Marie-Curie, and CIFRE grants with Thales, Nokia, Mitsubishi, and Huawei. Labs & Teams: Affiliated with LTCI (Signal, Statistics and Learning team) and has conducted sabbaticals at Technische Universität Berlin, Rutgers University, and Universidad Nacional de Colombia. Actively participates in international conferences as TPC member and reviewer.

Tim C.H. de Raadtمشاهده پروفایل

پژوهشگر

• Quantum Physics
• Applied Physics
• Laser Technology
• +۳ مورد دیگر

Tim C.H. de Raadt is a Researcher at Eindhoven University of Technology , affiliated with the Department of Applied Physics and Science Education . His work spans Quantum Physics , Laser Technology , and Electron Beam research. Research Focus: Quantum optics, photoionization, and ultracold electron source development Key Collaborations: With experts in ion beams and laser cooling Recent Publications: 6 journal articles, 1 thesis, and 2 contributions to conferences (2016–2024) Techniques: Sub-picosecond resolution, laser-cooled atoms, and RF acceleration His work has been cited 50 times (Scopus), with articles exploring topics like electron beam statistics , coherent X-ray generation , and quantum dynamics .

• Optimization
• Metaheuristics
• Physical Modeling
• +۷ مورد دیگر

Dominique Barchiesi is a Full Professor at the University of Technology of Troyes, France, specializing in physical modeling, optimization, and signal processing. He has been affiliated with the university since 1999 and previously served as an Assistant Professor at the University of Franche-Comté from 1993 to 1999. His research spans nanomaterials, surface plasmon resonance, energy transition, and uncertainty quantification. Education : PhD in Engineering Science (1993), Master of Physics (1990), and Bachelor degrees in Mathematics and Physics (1988-1994) from the University of Franche-Comté. Labs : Associated with the GAMMA3 research group and LASMIS laboratory. His recent publications focus on plasmonic nanoparticle optimization, optical property modeling, and energy transition strategies. Key themes include computational methods for nanomaterials, uncertainty propagation in simulations, and sustainable energy solutions for developing countries. Notable works include studies on photothermal cancer therapy and digital holography for nanoparticle sizing.