جست‌وجوی استاد و پژوهشگر

Matthew J. Bergمشاهده پروفایل

استاد

• Condensed Matter Physics
• Atmospheric Aerosol Characterization
• Digital Holography
• +۳ مورد دیگر

Matthew J. Berg is a Professor in the Department of Physics at Kansas State University, specializing in experimental and theoretical electromagnetic scattering for aerosol particle characterization. His research bridges atmospheric science, condensed matter physics, and optical engineering, focusing on improving climate models and developing defense/public health applications. Ph.D. (2008) and B.S. (2003) in Physics Recipient of NSF CAREER, US Army YIP, and DURIP grants His work leverages digital holography to solve the inverse problem in light scattering, enabling in situ 3D imaging of aerosols without sample distortion. Recent projects include UAV-based atmospheric monitoring and modifying gold optical properties with ultrafast lasers. Publications span Science Reports , Applied Optics , and Journal of Quantitative Spectroscopy and Radiative Transfer . Scientific awards include: National Science Foundation CAREER Award US Army Young Investigator Program (YIP) Award Defense University Research Instrumentation Program (DURIP) Grant He has advised multiple PhD students and postdocs in aerosol physics, holography, and light scattering. His lab develops innovative techniques for solar energy applications and ferrofluid energy harvesting systems, with patents on drone-based holographic imaging.

• Remote Sensing
• Environmental Sciences
• Geomatic Engineering
• +۷ مورد دیگر

Dr. Yuting Zhou is an Associate Professor in the Department of Geography at Oklahoma State University. Her research focuses on understanding the impacts of climate and human activities on ecosystems using remote sensing, ecological models, and machine learning. She holds a PhD in Ecology from the University of Oklahoma (2017). Her work integrates satellite data (e.g., MODIS, Landsat), UAS imagery, and field observations to address challenges in land use change, drought monitoring, and sustainable food-energy-water systems. Key research areas include: Remote sensing applications for agricultural monitoring Flash drought detection and early warning Alfalfa and peanut crop management using UAVs Climate-vegetation interactions in grasslands Sustainable development goals (SDGs 2, 6, 13, 15) Currently leads projects funded by NSF EPSCoR, OklahomaView, and USDA collaborations. She actively collaborates with researchers at the University of Oklahoma and USDA ARS labs. Courses taught include GIS fundamentals, environmental problem-solving tools, and advanced remote sensing applications. Notable achievements include developing novel drought indices using LSWI, optimizing crop yield prediction with deep learning, and advancing UAS-based agricultural monitoring techniques. Her work bridges geospatial technologies with real-world sustainability challenges.

Melissa Binghamمشاهده پروفایل

استاد

• Statistics for Directional Data
• Statistics for Three-Dimensional Rotation Data
• Nonparametric Statistics
• +۳ مورد دیگر

Melissa Bingham is a Professor in the Department of Mathematics & Statistics at the University of Wisconsin-La Crosse (UWL). She serves as Program Director for the M.S. in Applied Statistics program, advising all Applied Statistics M.S. and dual-degree B.S./M.S. students. Her research focuses on statistical techniques for analyzing three-dimensional rotation data, with applications in crystallography and directional data analysis. Education: Ph.D. in Statistics, Iowa State University (2009) M.S. in Mathematics, University of North Dakota (2004) B.S. in Mathematics, University of North Dakota (2002) Research Interests: Dr. Bingham develops novel statistical methods for analyzing three-dimensional rotation data, including permutation tests for comparing rotational symmetry and spread, bootstrap techniques for measures of center, and Bayesian inference for non-symmetric distributions. Her work bridges theoretical statistics and applied problems in materials science and crystal orientation analysis. Professional Activities: Presented invited talks at international workshops, including the 2022 Advances in Directional Statistics (ADISTA) conference in Spain. Teaches a wide range of courses, including Elementary Statistics, Mathematical Statistics, and Statistical Methods. Labs/Teams: Collaborates with interdisciplinary teams on crystallography and materials science projects, leveraging statistical methodologies for three-dimensional data analysis.

• Theoretical Atomic Physics
• Nonlinear Dynamics
• Quantum Mechanics
• +۳ مورد دیگر

Dr. Milun J. Rakovic is a Professor of Physics and Assistant Chair at the Department of Physics in the College of Liberal Arts & Sciences at Grand Valley State University. He holds a Ph.D. (1990), M.S. (1986), and B.S. (1980) in Physics from the University of Belgrade, Serbia. His research focuses on theoretical atomic physics and nonlinear dynamics, with notable contributions to quantum mechanics and atomic processes. He advises undergraduate students on projects such as the Coulomb problem and charged pendulum dynamics. Education: Ph.D. in Physics, University of Belgrade, Serbia (1990) M.S. in Physics, University of Belgrade, Serbia (1986) B.S. in Technical Physics, University of Belgrade, Serbia (1980) Research Interests: Dr. Rakovic’s work explores theoretical atomic physics, nonlinear dynamics, and quantum mechanics. He investigates systems like magnetic monopoles, integrable systems, and the interplay between quantum and classical dynamics. His studies often involve advanced theoretical frameworks and numerical simulations. Teaching: He teaches advanced physics courses including Intermediate Quantum Physics, Statistical Thermodynamics, and Advanced Quantum Mechanics, reflecting his expertise in theoretical physics. Advising & Students: Dr. Rakovic mentors students in research projects such as: Nicholas Pike: Bell’s Inequality (2008) Gaetan Vangysegham: Chaotic Hamiltonian Systems (2006) Labs & Outreach: While no specific labs are listed, his research with undergraduates highlights collaborative efforts in theoretical physics. He contributes to departmental outreach and academic activities.

Jens Munkمشاهده پروفایل

استاد

• Electromagnetic modeling
• Inverse problems
• Material measurements
• +۳ مورد دیگر

Jens Munk is a Professor and Department Chair in the Department of Electrical Engineering at the University of Alaska Anchorage. He holds a Ph.D. in Geophysics (Ohio State University, 1999), MS (1992), and BS (1990) in Electrical Engineering from the same institution. His research focuses on electromagnetic modeling, inverse problems, ionospheric studies, and remote sensing applications. Key contributions include studies on ionospheric plasma dynamics, evapotranspiration landfill covers, and Greenland ice sheet mapping via spaceborne radar. He has served as faculty advisor for the IEEE Student Branch since 2006 and contributed to multiple professional committees. Notable awards include the 1999 Outstanding PhD Dissertation and 1999 Presidential Fellowship. His teaching spans electromagnetics, circuit theory, antenna theory, and senior design projects. He has collaborated with institutions like the Technical University of Denmark and the Byrd Polar Research Center. Current research emphasizes environmental engineering applications in cold regions and space physics.

Yajing YANمشاهده پروفایل

مدرس

• Remote Sensing
• Geophysics
• Data Assimilation
• +۵ مورد دیگر

Yajing YAN is a Lecturer (Habilitation à Diriger des Recherches) at Université Savoie Mont Blanc, affiliated with the LISTIC laboratory. She specializes in remote sensing, geophysics, and data assimilation with particular focus on Earth deformation monitoring and natural hazard prediction. Her research integrates multi-temporal SAR interferometry, statistical methods, and machine learning to analyze displacement data for applications in volcanology, glaciology, and mountain environment monitoring. Education and Professional Path: PhD in Remote Sensing (2008-2011, LISTIC), followed by post-doctoral positions at the University of Liège (2012-2014) and University of Rennes 1 (2012). Since 2014, she has held her current position at Université Savoie Mont Blanc. Research Themes: Multi-temporal SAR interferometry, data fusion/assimilation, statistical methods, machine learning applications in geoscience. Active in projects like CNES MagmaTrack, ANR REPED-SARIX, and MIAI, focusing on volcanic deformation, glacier dynamics, and environmental imagery analysis. Teaching: Polytech Annecy-Chambéry, covering algorithmic, databases, embedded systems, signal/image processing, and Problem-Based Learning (PBL) in Environmental Imagery. Leadership Roles: Member of CNU 61, responsible for the 'Systèmes Numériques et Instrumentation' specialty, and organizes conferences on statistical learning and télédétection. Co-editor of 'Inversion & Assimilation de données de télédétection' and leads the 'Télédétection & IA' initiative under GdR ISIS.

Ralf Hielscherمشاهده پروفایل

استاد

• Mathematical Imaging
• Crystallography
• Texture Analysis
• +۷ مورد دیگر

Ralf Hielscher is a Professor at the Institute of Applied Analysis within the Faculty of Mathematics and Computer Science at the Technical University of Freiberg, Germany. His research lies at the intersection of applied mathematics, materials science, and imaging, with a strong focus on crystallographic texture analysis and electron backscatter diffraction (EBSD). He is a core developer and leading figure behind MTEX, a widely used open-source MATLAB toolbox for texture and orientation data analysis. Research Interests: His work centers on mathematical methods for analyzing crystallographic orientations, including spherical harmonic transforms, kernel density estimation on rotation groups, manifold-valued data processing, and inverse problems in tomography and texture reconstruction. He develops algorithms for parent grain reconstruction, orientation mapping, denoising, and visualization of microstructures. The recent publications reveal a consistent trend in advancing computational techniques for EBSD and texture analysis, particularly through the MTEX platform. His work bridges theoretical mathematics with practical materials characterization, enabling more accurate and efficient analysis of polycrystalline materials across geology, metallurgy, and engineering. Email: ralf.hielscher@math.tu-freiberg.de Scientific Contributions: While no formal awards are listed, his extensive publication record in high-impact journals such as SIAM Journal on Imaging Sciences , Journal of Applied Crystallography , and Inverse Problems underscores his significant contributions to the field. He has developed foundational algorithms now embedded in MTEX, which is used globally by researchers in materials science and geology. Teaching and Advising: He teaches courses such as Function Theory, Analysis 3, and Mathematics for Engineers. Although specific students are not mentioned, his leadership in MTEX and numerous collaborative publications suggest he mentors researchers and contributes to training the next generation of scientists in computational materials analysis. Labs and Teams: He is part of the team at the Institute of Applied Analysis and leads research efforts related to signal and image processing in crystallography. The MTEX project serves as a virtual research platform involving international collaborators in Germany, France, the UK, and beyond, facilitating open science in texture analysis.

Luke K. Rumbaughمشاهده پروفایل

دانشیار

• 3D Imaging
• Underwater Optics
• Particle Scattering
• +۳ مورد دیگر

Dr. Luke K. Rumbaugh is an Associate Professor in the Electrical and Computer Engineering Department at Grove City College. He can be contacted via email at RumbaughLK@gcc.edu or by phone at 724-458-2045. Dr. Rumbaugh earned his Ph.D. (2016) and M.S. (2013) in Electrical and Computer Engineering from Clarkson University, with a B.S.E.E. from Grove City College (2007). Research Focus: His work spans Underwater optical sensing and chaotic lidar systems 3D imaging with depth cameras and conventional sensors Wireless localization sensor design Autonomous underwater robotics and lake exploration Current projects include an autonomous underwater lake exploration vehicle for PA DCNR and an off-grid wireless camera surveillance network with Orbital Engineering. Academic Contributions: Dr. Rumbaugh has published extensively in underwater lidar technologies, time-of-flight sensing, and scattering mitigation. His research integrates machine learning with optical engineering to improve imaging in challenging aquatic environments. Educational Philosophy: He emphasizes student ownership of problems, advising: "Student success usually comes shortly after the student chooses to own the problem at hand."

Knut Solnaمشاهده پروفایل

استاد

• Applied and Computational Mathematics
• Inverse Problems and Imaging
• Probability
• +۴ مورد دیگر

Knut Solna is a Professor and Vice-chair for Graduate Studies in the Department of Mathematics at the University of California, Irvine. His research focuses on applied and computational mathematics, inverse problems, imaging, probability, and stochastic volatility modeling in financial markets. He has co-authored influential books including Mathematical and Statistical Methods for Multistatic Imaging and Wave Propagation and Time Reversal in Randomly Layered Media . His work spans theoretical developments in wave propagation in random media, financial derivatives pricing under stochastic volatility, and imaging techniques using advanced mathematical and statistical methods. Solna's contributions also include studies on time-reversal acoustics, enhanced backscattering, and applications of random matrix theory in sensor array imaging. He holds an office in Rowland Hall and maintains an active research program with numerous peer-reviewed publications in top journals.

• Electromagnetic scattering theory
• Aerosol optics
• Radiative transfer
• +۷ مورد دیگر

Michael Kahnert is an Adjunct Professor in Global Environmental Measurement and Modelling at Chalmers University of Technology and a research scientist at the Swedish Meteorological and Hydrological Institute (SMHI). His work focuses on fundamental aspects of electromagnetic scattering theory and its applications to atmospheric science. His primary research interests include: Electromagnetic scattering theory and numerical methods Optical properties of aerosols, ice clouds, and cosmic dust Radiative transfer in planetary atmospheres Inverse modeling and remote sensing techniques Chemical data assimilation and air pollution modeling Aerosol-cloud coupling processes Prof. Kahnert's publication record shows a strong focus on developing and applying advanced optical models for atmospheric particles. His recent work has particularly emphasized marine aerosols, black carbon properties, and the development of the T-matrix method for light scattering calculations. His research bridges theoretical physics with practical applications in climate modeling and satellite remote sensing, with significant contributions to understanding how particle morphology affects optical properties. His notable scientific contributions include: Development of morphologically realistic models for marine aerosols Advancement of the T-matrix method for non-spherical particles Studies on the optical properties of black carbon aerosols Applications of remote sensing techniques to atmospheric composition Prof. Kahnert has been involved in several significant research projects including 'Observational Constraints from Satellites for Atmospheric Chemistry in Earth System Modelling (OSCES)' and 'Aerosol Optics in Global Earth System Modelling (AGES)'. His work has received funding from the Swedish National Space Board and the Swedish Research Council, demonstrating its relevance to national and international atmospheric science priorities.

Yuan Shiمشاهده پروفایل

استادیار

• Plasma Physics
• Quantum Physics
• Fusion Energy
• +۵ مورد دیگر

Yuan Shi is an Assistant Professor in the Department of Physics at the University of Colorado. He is affiliated with the Center for Integrated Plasma Studies (CIPS) and serves as a Faculty Mentor for students with last names starting with E-G. His research focuses on the intersection of plasma physics and quantum physics, particularly exploring how magnetic fields influence laser-plasma interactions for fusion and photonics applications. He also develops quantum algorithms for plasma-related problems and investigates relativistic and quantum plasma regimes using field-theory models. Education: PhD in Astrophysical Sciences (2018), MA in Astrophysical Sciences (2014), both from Princeton University’s Program in Plasma Physics; BS in Mathematics and Physics from the University of Hong Kong (2012). Research interests include magnetized laser-plasma interactions, quantum computing for high-energy-density systems, and plasma dynamics in extreme regimes. His teaching includes courses such as PHYS 1115 (General Physics 1), PHYS 3320 (Electricity and Magnetism 2), and graduate-level electromagnetic theory (PHYS 7310/7320). Notable awards include the Marshall N. Rosenbluth Outstanding Doctoral Thesis Award (2020), Lawrence Postdoctoral Fellowship (2018), and Carl Oberman Fellowship (2012). His group, the Plasma and Quantum Group, emphasizes collaborative exploration of fundamental physics and technological applications. Key projects involve quantum walk simulations for angular momentum states, plasma-based laser amplification/compression, and lattice QED modeling. Experimental work includes characterizing magnetized plasma jets via interferometry and proton radiography. The group also explores pulsar magnetosphere polarimetry and non-perturbative field theory phase diagrams.

Philip L. Marstonمشاهده پروفایل

استاد

• Physical Acoustics
• Light Scattering
• Low-Gravity Fluid Mechanics
• +۷ مورد دیگر

Philip L. Marston is a Professor in the Department of Physics and Astronomy at Washington State University, part of the College of Arts and Sciences. His research spans physical acoustics, light scattering, and low-gravity fluid mechanics, with applications in underwater acoustics, bubble dynamics, and wavefield interactions. Research Interests: Marston's work emphasizes both theoretical and experimental approaches to understanding wave scattering phenomena. He investigates acoustic radiation and scattering from elastic objects, radiation pressure effects on droplets and bubbles, and the use of ray and catastrophe theory in optical and acoustical scattering. His research has implications for non-destructive testing, sonar technology, and space-based fluid experiments. Recent Trends in Publications: His recent publications (2020–2023) focus on acoustic vortex beams, trapping mechanisms, scattering anomalies, and theoretical foundations of wave interactions. These works reflect a strong integration of mathematical physics with experimental acoustics, particularly in topological wavefields and nonlinear interactions. Fellow of the Acoustical Society of America Advising and Grants: While specific students and grants are not listed in the provided text, Marston has led significant research projects, including co-principal investigator roles in space shuttle experiments (USML-1, 1992). His long-standing research program suggests sustained funding and mentorship of graduate students in physics and acoustics. Labs and Facilities: Marston utilizes an indoor water tank facility (6500 and 3000 gallons) for acoustic measurements, enabling experimental validation of theoretical models in controlled environments. This lab supports research in underwater acoustics, bubble dynamics, and scattering from complex objects.

Panayiotis Frangosمشاهده پروفایل

استاد

• Radar
• Electromagnetic Theory
• Signal Processing
• +۳ مورد دیگر

Panayiotis Frangos is a Professor in the Division of Information Transmission Systems and Material Technology at the School of Electrical and Computer Engineering, National Technical University of Athens. His research focuses on electromagnetic theory, radar systems, signal processing, and wave propagation, with applications in telecommunications and remote sensing. Education highlights: Ph.D., Moore School of Electrical Engineering, University of Pennsylvania, 1986 M.Sc., Moore School of Electrical Engineering, University of Pennsylvania, 1985 Diploma in Electrical Engineering, National Technical University of Athens, 1983 Research interests span radar technology, electromagnetic scattering, signal processing algorithms, and antenna design, with recent work emphasizing: Theoretical and experimental analysis of wave propagation Advanced signal processing for remote sensing Computational solutions for electromagnetic problems Fractal-based environmental characterization techniques Recent publications demonstrate strong trends in electromagnetic wave modeling, radar-based environmental monitoring, and computational ethics for medical devices. Articles frequently integrate theoretical frameworks with experimental validation across electromagnetics, signal processing, and regulatory compliance domains. Dr. Frangos directs the Radar Systems and Remote Sensing Laboratory, conducting research on synthetic aperture radar (SAR), radio coverage modeling, and electromagnetic measurements. The lab actively contributes to international collaborations advancing radar technologies and computational methods.

CHAN Taw Kueiمشاهده پروفایل

مدرس ارشد

• Educational Technology
• Physics Education
• Online Learning
• +۵ مورد دیگر

CHAN Taw Kuei serves as Senior Lecturer in the Department of Physics at the National University of Singapore (NUS), leveraging his 2009 PhD from NUS to bridge physics expertise with educational innovation. His position reflects active engagement in both teaching and research within the university's academic structure. Education: PhD, National University of Singapore (2009) Research Evolution: Dr. Chan's scholarly journey demonstrates a strategic pivot from Materials Physics (2012-2014) to Educational Technology (2020-present). Current work centers on chroma key compositing systems that project instructors over digital content during lectures, creating weatherman-style composites that enhance remote learning. This technology operates in real-time without post-production, specifically addressing disparities between online and in-person educational experiences through digital video innovation and learning environment optimization . Publication Impact: Analysis of his 7 key publications reveals a decisive shift toward educational scholarship after 2014, with recent works (2020-2024) exclusively focusing on hybrid learning solutions. The 2024 Education and Information Technologies paper demonstrates statistically significant improvements in student engagement metrics across delivery modes, establishing his methodology as a validated approach for synchronous hybrid instruction. Educational Outcomes: Comprehensive student surveys confirm over 80% of remote learners report enhanced visibility and attention capture with his system, while 91% of in-person students experience no negative impact. Categorical analysis reveals remote-only students show at least 90% likelihood of favoring the chroma key implementation, indicating strong pedagogical value for diverse learning environments.

Wenjia Jingمشاهده پروفایل

دانشیار

• Analysis
• Partial Differential Equations
• Stochastic Homogenization
• +۳ مورد دیگر

Wenjia Jing is an Associate Professor at the Yau Mathematical Sciences Center, Tsinghua University in Beijing, China. He joined Tsinghua University as an Assistant Professor in 2016 and was promoted to Associate Professor in 2022. He also serves as an Adjunct faculty at the Yanqi Lake Beijing Institute of Mathematical Sciences and Applications since July 2021. His academic journey began with a B.S. in Theoretical and Applied Mechanics from Peking University in 2006, followed by a Ph.D. in Applied Mathematics from Columbia University in 2011 under the supervision of Guillaume Bal. His postdoctoral training included positions as an L.E. Dickson Instructor at the University of Chicago (2013-2016) mentored by Panagiotis E. Souganidis, and as a Postdoctoral Researcher at Ecole Normale Supérieure Paris (2011-2013) mentored by Habib Ammari and Josselin Garnier. Dr. Jing's research focuses on Analysis and Partial Differential Equations, with specific expertise in Stochastic Homogenization and Quantitative Estimates, Waves Propagation in Random Media, and other areas of Applied Analysis. His work bridges theoretical mathematics with applications in physics and engineering, particularly in understanding complex phenomena in heterogeneous and random media. His research has been supported by multiple grants including NSFC (China) grants and The Recruitment Program of Global Experts of China. Dr. Jing has made significant contributions to the field through his publications in top mathematical journals. His work shows a consistent focus on homogenization theory, partial differential equations in complex media, and quantitative analysis of mathematical models. He has developed novel approaches to understanding wave propagation, front dynamics, and effective properties in heterogeneous media. NSFC (China) Grant No. 11871300 (co PI, 2019-2022) The Recruitment Program of Global Experts of China (2019-2021) NSFC (China) Grant No. 11701314 (PI, 2018-2020) NSF (USA) Grant DMS-1515150 (PI, 2015-2016) Dr. Jing is also active in academic service, serving as an Associate editor for Frontiers of Applied Mathematics by AIMS. He has taught a variety of courses at both undergraduate and graduate levels, including Real Analysis, Linear Algebra, and specialized topics courses on homogenization theory and waves in random media.