جست‌وجوی استاد و پژوهشگر

Alisa Jungمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Rendering
• Physically-based Rendering
• +۴ مورد دیگر

Dr. Alisa Jung is a researcher at Karlsruhe Institute of Technology's Computer Graphics Group, specializing in physically-based rendering techniques. Her work addresses fundamental challenges in spectral rendering, fluorescence modeling, and path space optimization for photorealistic image synthesis. Research focuses on Physically-based Rendering , Spectral Rendering with Fluorescence , and Path space regularization . She develops novel algorithms for handling complex light transport phenomena, particularly fluorescence effects in materials, and improves Monte Carlo rendering efficiency through path guiding and bias detection methods. Recent publications demonstrate consistent innovation in spectral rendering (2018-2020), with emphasis on fluorescence modeling, upsampling techniques, and statistical validation of renderers. Her work bridges theoretical light transport models with practical implementation in rendering systems. Dr. Jung actively supervises Master's and Bachelor's theses on path guiding, spectral rendering, and GPU-based graphics algorithms, reflecting her expertise in rendering optimization and material modeling. Teaching assignments include core computer graphics courses and advanced seminars at KIT since 2017. The Computer Graphics Group at KIT, where she is based, operates within the Institute for Visual Design and Computer Graphics, focusing on cutting-edge research in rendering algorithms, material appearance, and visual computing systems.

Neil Floodمشاهده پروفایل

پژوهشگر ارشد

• Remote Sensing
• Environmental Science
• Satellite Imagery Analysis
• +۳ مورد دیگر

Dr. Neil Flood is an Honorary Senior Fellow at the University of Queensland's School of the Environment. His research focuses on remote sensing techniques, satellite imagery analysis, and environmental monitoring. He specializes in applying multispectral data from sensors like Sentinel-2, Landsat, and SPOT to study vegetation dynamics, climate impacts, and land cover changes in Australia. His work often involves developing algorithms for automated classification and integrating machine learning (e.g., U-net CNN) into ecological studies. Dr. Flood collaborates on projects such as the Joint Remote Sensing Research Program and has contributed to studies on BRDF effects, surface reflectance continuity, and rangeland management. His publications highlight advancements in satellite data processing, including comparisons between sensor systems and applications in environmental modeling. He has also authored reports on vegetation cover synthesis and fire ecology in grazing lands. Despite no listed students or awards, his contributions to open-source tools (e.g., GEOBIA systems) underscore his commitment to advancing remote sensing methodologies.

Arthur C.R. Gleasonمشاهده پروفایل

استاد پژوهشی

• Ocean Optics
• Coral Reef Monitoring
• Marine Geosciences
• +۴ مورد دیگر

Arthur C.R. Gleason is a Research Professor in the Department of Physics at the University of Miami's College of Arts and Sciences. He is affiliated with the Atmospheric and Oceanic Optics Group, Department of Marine Geosciences, and CSTARS (Center for Southeastern Tropical Advanced Remote Sensing). Primary research focuses on underwater imaging technology, ocean color remote sensing calibration, and coral reef conservation Key projects include MOBY buoy maintenance, bidirectional reflectance (BRDF) modeling, and large-area image mosaics His work combines ocean optics , spectral analysis , and 3D modeling to advance coral reef monitoring. Articles demonstrate expertise in underwater image classification , polarized radiance measurement , and multi-sensor integration . Publications systematically validate Case I/II water models and polarization effects in marine environments. Scientific recognition : 2020 Pew Marine Conservation Fellowship 2007 Student Poster Award (MTS/IEEE Oceans Conference) Active in educational initiatives through: Co-development of Large Area Image data acquisition and processing online course Biweekly LAI Office Hours with UCSD/NOAA partners Current projects include MOBY-refresh software development and extended reality (XR) coral reef visualization systems.

Sergiy Valyukhمشاهده پروفایل

دانشیار

• Optics
• Materials Science
• Color Science
• +۳ مورد دیگر

Sergiy Valyukh serves as a Senior Associate Professor at Linköping University within the Department of Physics, Chemistry and Biology (IFM), actively contributing to the Unit of Materials Optics (TFOPTIK) and Thin Film Physics (TUNNF) research units. His academic profile reflects sustained engagement in experimental physics and materials research with industrial applications. His research program centers on optical measurement methodologies and material appearance phenomena, specifically wavelength-tuning interferometry for precision surface metrology, goniochromatic material characterization, iridescence mechanisms in textiles, and advanced color reproduction systems. This interdisciplinary work bridges fundamental optics with practical challenges in manufacturing, printing technology, and textile engineering through empirical modeling and spectroscopic analysis. Analysis of recent publications (2023-2025) reveals consistent focus on optical metrology applied to industrial processes, with significant contributions to BRDF modeling for reflective materials, UV-Visible spectroscopy for biomimetic fabrics, and RGBW ink systems for color accuracy. The research demonstrates strong cross-disciplinary collaboration patterns between physics, materials science, and engineering domains. Dr. Valyukh maintains active participation in Linköping University's Thin Film Physics and Materials Optics research environments, where his experimental work supports both academic inquiry and industry-relevant solutions in optical measurement and material science applications.

• Remote Sensing
• Environmental Science
• Climate Change Monitoring
• +۵ مورد دیگر

Professor Kevin Tansey is a Professor of Remote Sensing at the University of Leicester's School of Geography, Geology & The Environment. His work focuses on advancing Earth observation techniques for environmental monitoring, including drought forecasting, peatland hydrology, wildfire science, and agricultural yield estimation. He specializes in integrating satellite data (Sentinel, MODIS, Landsat) with machine learning to address global challenges like climate change and ecosystem degradation. Research interests span remote sensing applications in agriculture, forest ecology, and hydrology. Key areas include developing fusion frameworks for multisensor data, improving crop yield models using deep learning, and quantifying peatland subsidence through InSAR techniques. He leads projects like ESA’s WorldPeatland initiative for global peatland mapping and collaborates on wildfire research across historically and emerging fire-prone regions. Publications highlight innovations in vegetation stress indices (VTCI), evapotranspiration datasets, and oil spill detection in tropical forests. His work bridges technical advancements (e.g., transformer networks, CNN-Transformer hybrids) with practical applications for sustainability. Current efforts emphasize enhancing global burned area mapping and improving biomass estimation in African savannahs through machine learning-driven feature selection. Key Projects: ESA WorldPeatland, GLOBBIOMASS, Fire_cci Technical Expertise: SAR/InSAR, hyperspectral imaging, deep learning frameworks Global Collaboration: Partnerships in China, Malaysia, Ecuador, and Africa Grants and funding support interdisciplinary approaches to climate change impacts, including carbon storage quantification and loss-and-damage analysis. His lab develops open-source tools like the Pyeo package for near-real-time forest cover change detection.

Nuwan Wijewardaneمشاهده پروفایل

استادیار

• Soil Spectroscopy
• Crop Sensing
• Precision Agriculture
• +۴ مورد دیگر

Nuwan Wijewardane is an Assistant Professor in the Department of Agricultural and Biological Engineering at Mississippi State University. His research focuses on soil and crop sensing, precision agriculture, and the application of machine learning and IoT technologies. He leads the Advanced Plant & Soil Sensing Laboratory, developing novel sensing tools for agricultural monitoring. Education: Ph.D., Biological Engineering, University of Nebraska-Lincoln, USA M.S., Agricultural and Biological Systems Engineering, University of Nebraska-Lincoln, USA M.Sc., Agricultural and Biosystems Engineering, University of Peradeniya, Sri Lanka B.Sc., Agricultural Technology and Management, University of Peradeniya, Sri Lanka Research Interests: Soil spectroscopy and crop sensing IoT-driven precision agriculture systems Plant phenotyping via remote sensing Machine learning for spectral data analysis Publications: Dr. Wijewardane has published extensively in soil science, remote sensing, and agricultural engineering journals. His work spans spectral analysis techniques, sensor development, and environmental monitoring applications. Labs/Teams: He directs the Advanced Plant & Soil Sensing Laboratory, emphasizing interdisciplinary collaborations in sensor technology and data science for sustainable agriculture.

Scott Tyoمشاهده پروفایل

استاد مدعو

• Tropical Cyclone Dynamics
• Polarimetry
• Antenna Design
• +۳ مورد دیگر

Professor Scott Tyo is an Adjunct Professor in the Department of Electrical and Computer Systems Engineering at Monash University. His research focuses on tropical cyclone dynamics, polarimetry, antenna design, and high-power microwave systems. He has contributed to advancements in remote sensing, climate science, and electromagnetic engineering through innovative approaches in polarization imaging, antenna modeling, and tropical cyclone analysis using satellite data. Key research interests include developing algorithms for tropical cyclone segmentation using CNNs, optimizing antenna systems for high-frequency applications, and advancing polarimetric imaging techniques. His work bridges theoretical physics and applied engineering, with applications in climate monitoring and defense technologies. Recent projects highlight contributions to understanding the radiative effects of tropical cyclones on Earth's energy balance and improving the accuracy of polarization-based imaging systems. His publications span topics from metamaterial design to machine learning-driven remote sensing solutions. No awards or grants are explicitly listed in the provided texts, though his extensive publication record indicates sustained research impact. He collaborates on multi-disciplinary projects involving climatology, optics, and electrical engineering.

• Plasma Physics
• Fusion Energy
• Materials Science
• +۳ مورد دیگر

Dr. Laurent Marot is a Researcher at the Department of Physics, University of Basel, affiliated with the Faculty of Humanities and Natural Sciences. His work focuses on plasma-material interactions, diagnostic systems for nuclear fusion, and advanced materials science. He contributes to ITER-related research through projects like the development of plasma cleaning techniques for first mirrors and studies on plasma-facing materials. Research interests include plasma physics, fusion energy, surface engineering, and catalytic processes. Key projects involve mirror cleaning technologies in tokamak environments (e.g., JET and EAST), optimization of tungsten and rhodium coatings, and nanoscale surface modifications for biomedical and fusion applications. Recent publications address plasma cleaning efficacy, material erosion under high heat loads, and novel catalytic materials. His work bridges experimental and computational approaches to solve challenges in fusion energy and material durability.

Are Strandlieمشاهده پروفایل

استاد

• High Energy Physics (HEP)
• Particle Physics
• Data Analysis
• +۳ مورد دیگر

Are Strandlie is a Professor at the Physics Institute of the University of Oslo . His research focuses on high energy physics data analysis, particle tracking algorithms, and material science applications in additive manufacturing. Previously, he held roles at CERN and Gjøvik University College. Education: cand. scient., Theoretical Physics, University of Oslo (1995) dr. scient., Experimental Particle Physics, University of Oslo (2000) Research Interests: His work spans advanced track reconstruction methods, particle mass determination, and computational material science. Recent projects include durability analysis of composite materials and optical properties in 3D printing. His research is published in journals like Journal of High Energy Physics and Materials & Design . Grants & Labs: Collaborates with teams like the ATLAS experiment at CERN. Active in material jetting and intermetallic compound studies. No specific grants mentioned in the text.

• Remote Sensing
• Earth Observation
• Geophysical Data Assimilation
• +۷ مورد دیگر

Dr. Jeffrey Settle is a researcher specializing in remote sensing and Earth observation, with a strong focus on hyperspectral imaging, radiative transfer modeling, and geophysical data analysis. His work contributes significantly to satellite data assimilation, cloud property retrieval, and environmental monitoring through advanced imaging techniques. His research interests lie at the intersection of environmental physics and signal processing, particularly in the development and refinement of models for interpreting multi-angle and hyperspectral remote sensing data. Key areas include linear mixture models, surface radiation budgets, cloud fraction estimation using lidar, and the operational use of data from missions such as PROBA/CHRIS. His methodological contributions emphasize statistical rigor and physical accuracy in extracting geophysical variables from complex sensor data. The body of his work from 2003 to 2012 reflects a consistent engagement with major challenges in remote sensing: scaling effects, spectral unmixing, instrument characterization, and atmospheric correction. These studies collectively advance the capability to derive accurate, spatially representative environmental parameters from satellite and airborne platforms. Selected Scientific Contributions: Development of methods for cloud fraction estimation using Bayesian inference on lidar transects. Analysis of uncertainties in surface radiation budget calculations within the RADAGAST field campaign. Investigation of endmember variability and point spread function effects in spectral unmixing models. Contribution to the PROBA/CHRIS mission for multi-angle, hyperspectral Earth observation. Improving catchment-scale pollution modeling using Earth observation data. Dr. Settle has collaborated with leading institutions and researchers in atmospheric and environmental sciences. While no formal academic advising or grant information is available, his publications in top-tier journals indicate an active research role in the remote sensing community during the 2000s and early 2010s.

• Project Management
• Material Appearance Measurement
• 3D Imaging
• +۵ مورد دیگر

Aditya Suneel Sole is an Associate Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU) , Faculty of Information Technology and Electrical Engineering. He serves as a Research Coordinator Project Manager Associate Director of CIE Division 1 Conference Chair Deputy Scientific Coordinator for the MSCA Doctoral Network Aditya holds a Master of Science in Digital Colour Imaging and a PhD in Computer Science . His research focuses on Material Appearance Measurement , 3D Imaging , and Color Science , particularly in Spectral and Geometric Analysis 3D Printing Reflectance Modeling Surface Property Reconstruction Gonio-spectrophotometry Research Grant Coordination His recent publications (2022-2025) emphasize 3D Object Quality Metrics White Core Thickness in Color Reproduction BRDF Estimation Accelerated Aging of Printed Materials Multi-layer Halftoning Entropy Evaluation in Mesh Simplification with applications in Cultural Heritage, Advanced Manufacturing, and Remote Sensing. He teaches IDATG1004/IDATA1004/IDATT1004 - Team-Based Collaboration and actively participates in outreach activities, including presentations at MANER Network Colour Leeds London Imaging Meeting Euspen Conferences

Derek R. Peddleمشاهده پروفایل

استاد

• Remote Sensing
• Geographical Information Systems
• Earth System Science
• +۷ مورد دیگر

Dr. Derek R. Peddle is a Full Professor in the Department of Geography at The University of Lethbridge, Alberta, Canada. He holds a Ph.D. in Geography/Remote Sensing from the University of Waterloo, M.Sc. in Geography from the University of Calgary, and B.Sc. Honours in Computer Science and Geography from Memorial University of Newfoundland. His academic career began in 1996 as an Assistant Professor, advancing to Associate Professor in 1999 and Full Professor in 2006. Research interests span remote sensing, GIS, and earth system science modeling with applications in global environmental change, forestry, agriculture, water resources, and mountain terrain analysis. Key methodologies include spectral mixture analysis, canopy reflectance modeling, algorithm development, and multi-temporal GIS analysis across scales from centimetres to global coverage. Major research projects include NASA's BOREAS (Boreal Forest Ecosystem Atmosphere Study), alpine terrain analysis in the Canadian Rockies, precision agriculture studies, and watershed analyses. He has developed specialized software for geomorphometric processing, image texture analysis, and hyperspectral data processing. Awards and Honors Fulbright Senior Fellowship in Environment and Climate Change (1999-2000) Canada-U.S. Fulbright Distinguished Visiting Research Chair (2006) NASA Visiting Scientist Award at Goddard Space Flight Center (1994) National Best Ph.D. Thesis Award in Remote Sensing (1997) Alberta Centennial Medal (2005) Six Best Paper Awards at international/national symposia Academic Leadership National Past-Chair of Canadian Remote Sensing Society Associate Editor, Canadian Journal of Remote Sensing NSERC CREATE AMETHYST Program Coordinator Faculty representative on University Board of Governors and Senate (2003-2005) Research Infrastructure Directs a laboratory equipped with ASD-FR spectroradiometers, hemispherical photography systems, field goniometers, GPS units, and advanced computing resources for PCI, ENVI, and ARC-GIS processing. Manages the NSERC-funded CREATE AMETHYST program for hyperspectral science training.

Jonas Ungerمشاهده پروفایل

استاد

• Computer Graphics
• Image Processing
• Artificial Intelligence
• +۳ مورد دیگر

Jonas Unger is a Professor at Linköping University's Department of Engineering and Natural Sciences (ITN) and Media and Information Technology (MIT). As a research leader in computer graphics and image processing, he contributes to advanced visualization techniques, GPU computing, and AI applications in healthcare and climate adaptation. Specializes in BRDF modeling, spectral light field imaging, and augmented intelligence Active in AI4Climateadaptation and Wallenberg Autonomous Systems Program (WASP) Recipient of the 2023 Chester Carlson Research Prize Develops AI methods for medical imaging (SCAPIS dataset) and autonomous systems His recent work focuses on deep learning for material acquisition, real-time rendering optimizations, and visual analytics pipelines for disaster response systems. Current projects include multi-agent reinforcement learning for air traffic control and GPU-accelerated signal processing techniques. Scientific awards include: Chester Carlson Research Prize (2023) He collaborates with Visual Sweden's Augmented Intelligence platform, co-leads major visualization conferences, and contributes to Horizon 2020 Marie Skłodowska-Curie funded research. Contact: jonas.unger@liu.se

Ehsan Miandjiمشاهده پروفایل

استادیار

• Computer Graphics
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Ehsan Miandji is an Assistant Professor and Docent at Linköping University's Department of Science and Technology (ITN), part of the Faculty of Science and Engineering. His research focuses on computer graphics, computer vision, and machine learning, with a particular emphasis on BRDF modeling, light field imaging, compressed sensing, and sparse representation techniques. He is affiliated with the Computer Graphics and Image Processing group and the Wallenberg Autonomous Systems Program (WASP). His work spans both theoretical advancements and applied methodologies in visual data processing. Recent research includes optimizing BRDF acquisition via FROST-BRDF, advancing multidimensional compressed sensing for spectral light fields, and developing sparse representation frameworks for bidirectional texture functions (BTF). Miandji collaborates with interdisciplinary teams within the Media and Information Technology (MIT) division, contributing to projects that bridge computational imaging, algorithm design, and real-world applications. His publications reflect a strong commitment to pushing boundaries in visual data compression, rendering efficiency, and perceptual quality assessment of material models.

Daniel Nyströmمشاهده پروفایل

دانشیار

• Multispectral Imaging
• Spectral Reproduction
• Paper Optics
• +۳ مورد دیگر

Daniel Nyström is an Associate Professor at Linköping University, affiliated with the Department of Science and Technology (ITN) and the Media and Information Technology (MIT) research group. He holds a Ph.D. in Media Technology from Linköping University (2009). His teaching focuses on Digital Media, Image Reproduction, Image Quality, and Graphic Technology within the Media Technology and Engineering master’s programme. Research interests include multispectral imaging, spectral reproduction, paper optics (modeling ink-light-paper interactions), color prediction models, and appearance reproduction. His work bridges theoretical advancements and applied solutions in color science and imaging technologies. Recent publications (2021-2024) emphasize material appearance modeling, spectral reproduction techniques, and innovative printing methods using RGBW reflective inks. Key contributions include empirical BRDF modeling for goniochromatic materials and angular-dependent reflectance analysis of pigments. No scientific awards explicitly mentioned. Advising no listed students. Active in research groups exploring visualization, interaction design, and media technology applications.