جست‌وجوی استاد و پژوهشگر

Praneet Prakashمشاهده پروفایل

پژوهشگر

• Biophysics
• Soft Matter Physics
• Statistical Mechanics
• +۳ مورد دیگر

Dr. Praneet Prakash is a Researcher in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, working under Prof. Raymond Goldstein. His research focuses on interdisciplinary approaches combining microfluidics, microscopy, and theoretical physics to study biological systems. Key areas include microbial motility, active matter dynamics, and the interplay between physics and living systems. He utilizes experimental techniques such as microfluidics and advanced microscopy to investigate phenomena like bacterial swimming, nutrient exchange in microbial communities, and growth oscillations in filamentous fungi. His work bridges Soft Matter Physics, Statistical Mechanics, and Biophysics, with applications ranging from understanding microorganism behavior to developing biosensor technologies. Recent studies explore phototactic algae behavior, ciliary surface interactions in animalcules, and adaptive motility in marine microorganisms. Publications highlight contributions to microbial ecology, active matter systems, and biophysical modeling. While no formal awards are listed, his research has been published in high-impact journals like Journal of the Royal Society Interface and Physical Review Fluids . He is affiliated with the Biological Physics and Mechanics research group and maintains an active presence on academic platforms like Twitter and LinkedIn.

• Digital Archaeology
• Computational Archaeology
• Machine Learning in Archaeology
• +۱۳ مورد دیگر

Karsten Lambers is Professor of Digital and Computational Archaeology at the Faculty of Archaeology, Leiden University, where he leads research and teaching in the application of computational methods to archaeological data. His work integrates machine learning, remote sensing, text mining, and citizen science to advance archaeological prospection and heritage management. He is affiliated with the Department of Archaeological Sciences and plays key roles in research groups and university-wide initiatives such as SAILS and ARCHON. His research interests span Digital Archaeology , Machine Learning in Archaeology , Remote Sensing , Geoarchaeology , and Human-Environment Interaction . He investigates how computational tools can extract meaningful archaeological information from large datasets, including LiDAR imagery and excavation reports. His fieldwork spans Central Europe and Latin America, with a focus on prehistoric landscapes and cultural heritage. The analysis of his recent publications reveals a strong trend toward automated detection using deep learning (e.g., R-CNN, WODAN), named entity recognition in archaeological texts (e.g., ArcheoBERTje), and citizen science integration for data validation. His work bridges archaeology with computer science, geomatics, and environmental science, emphasizing interdisciplinary collaboration and methodological rigor. His scientific awards include: Best Thesis Award (University of Zurich, 2005) EUROPA NOSTRA Award (2020, 2022) Membership in the German Archaeological Institute (since 2022) Lambers actively supervises students and leads major research projects such as ABMA, EXALT, and Heritage Quest. He has secured substantial research funding and collaborates widely with computer scientists, geophysicists, and palaeoecologists. His teaching includes digital methods, modeling, and simulation, often linked to ongoing research. He has also contributed to open educational resources and digital textbooks in archaeology. He leads or participates in several research labs and teams, including the Digital Archaeology Research Group (which he chairs), the Heritage Quest citizen science project, and interdisciplinary teams focusing on alpine terraces and Iraqi prospection. His work emphasizes the integration of digital tools into practical archaeological workflows, advocating for complementary human-computer strategies.

• Glaciology
• Remote Sensing
• Geodesy
• +۳ مورد دیگر

Tobias Bolch is a full Professor at the Institute of Geodesy, Graz University of Technology (TU Graz), Austria, specializing in cryospheric research with a focus on High Mountain Asia and the Tibetan Plateau. His work integrates advanced geodetic and remote sensing methodologies to address critical climate change impacts on glaciers and related systems. His research spans: Glacier dynamics and mass balance monitoring using InSAR and optical satellite data Rock glacier kinematics and permafrost interactions Glacial lake evolution and outburst flood hazards Climate-glacier-hydrology linkages in Central Asian river basins Long-term cryosphere reconstruction using historical satellite archives Analysis of his 2023-2025 publications reveals dominant trends in quantifying ice loss acceleration, particularly from lake-terminating glaciers, and the application of multi-sensor approaches (Sentinel, ASTER, UAV) for decadal-scale change detection. His work consistently emphasizes the hydrological consequences of glacier retreat for downstream water security across High Mountain Asia. No scientific awards or specific grant programs were documented in the provided materials. While student supervision details are absent, his position at TU Graz's Institute of Geodesy indicates active mentorship within geospatial and cryospheric research programs. His homepage (https://ifg.tugraz.at) serves as the primary hub for research dissemination through the university's PURE portal.

Jason M. LaBelleمشاهده پروفایل

استاد

• Environmental and Landscape Archaeology
• Peopling of the Americas
• Contact Era Studies
• +۴ مورد دیگر

Jason M. LaBelle is a Professor of Anthropology at Colorado State University (CSU), affiliated with the College of Liberal Arts. He serves as Director of the Center for Mountain and Plains Archaeology (CMPA) and Curator of the Archaeological Repository of CSU (AR-CSU). His research focuses on hunter-gatherer societies, particularly in the Intermountain West, emphasizing subsistence, mobility, and pre/post-contact Native American cultures. His work spans environments from the Great Plains to high alpine regions, with specialties in Clovis/Folsom cultures, communal hunting practices, and lithic technology. LaBelle teaches courses in archaeology, lithic technology, and public archaeology. He oversees CMPA projects funded by federal agencies like the National Park Service and the Bureau of Land Management, supporting student training in fieldwork, lab analysis (lithics, faunal studies), and report writing. His lab houses extensive collections from Colorado’s South Platte and Colorado River Basins, including alpine artifacts. He actively engages with tribal partners and the public through outreach, conferences, and NAGPRA coordination. LaBelle’s recent research includes studies on lithic quarries, ice patch archaeology, and Bayesian chronology modeling. His publications address prehistoric mobility, site chronology, and cultural resource management. He values interdisciplinary collaboration and student mentorship, aiming to bridge academic and applied archaeology.

Anthony Filippiمشاهده پروفایل

دانشیار

• Imaging Spectroscopy
• Hyperspectral Remote Sensing
• GIS-Based Modeling
• +۵ مورد دیگر

Dr. Anthony Filippi is an Associate Professor and Director of Graduate Programs at Texas A&M University. His research focuses on remote sensing, geographic information systems (GIS), and machine learning applied to aquatic and terrestrial environments. He leads the Fluvial-GEOS Lab, studying riverine/floodplain systems using remote sensing and GIS technologies. Educational Background: Ph.D. in Geography, University of South Carolina (2003) M.S. in Geography, University of South Carolina B.A. in Geography, Kansas State University Research Interests: Imaging spectroscopy, hyperspectral remote sensing of rivers and coastal oceans, GIS-based modeling, data fusion, aquatic optics, and machine learning. His work addresses coastal ocean bathymetry estimation, floodplain dynamics, and applications in environmental monitoring, including hazardous waste site tracking and agricultural studies. Recent Research Trends: Recent publications highlight advancements in UAS-based image analysis, LSTM networks for floodplain classification, and environmental policy impacts on forest resources. His work integrates machine learning with remote sensing to improve ecological and geomorphological understanding. Labs/Teams: Director of the Fluvial-GEOS Lab, focusing on remote sensing and GIS applications in riverine environments.

• Photogrammetry
• Geoinformation
• Remote Sensing
• +۷ مورد دیگر

Prof. Christian Heipke is a distinguished academic serving as Dean of the Faculty of Civil Engineering and Geodetic Science at Leibniz University Hannover, Germany. He also holds the position of Executive Director at the Institute of Photogrammetry and GeoInformation (IPI), one of the leading research institutions in geospatial sciences within the faculty. His leadership extends across multiple committees including the Curriculum and Teaching Committee, Admissions and Examination Boards for Geodetic Science and Geoinformatics, and Navigation and Environmental Robotics. As a Professor at IPI, he maintains active research while overseeing significant academic and administrative responsibilities at the university. Professor Heipke's research spans multiple domains within geospatial sciences, with particular emphasis on: Advanced photogrammetric techniques and algorithms Remote sensing applications for environmental monitoring Computer vision approaches for geospatial data analysis Urban development monitoring using satellite imagery Machine learning applications in geoinformatics Disaster prediction and management systems His recent scholarly output reveals a strong focus on integrating cutting-edge computer vision and deep learning techniques with traditional photogrammetric methods. Analysis of his 15 most recent publications shows a clear trajectory toward more sophisticated AI-driven approaches for processing geospatial data, with particular attention to time-series analysis, uncertainty quantification, and multi-view systems. His work bridges theoretical advancements with practical applications in flood forecasting, deforestation monitoring, urban planning, and construction materials analysis. The geographic scope of his research has expanded significantly, with recent projects focusing on international case studies in the Philippines and tropical regions. Professor Heipke leads the Institute of Photogrammetry and GeoInformation, a major research hub that has celebrated 75 years of contributions to the field. His leadership extends to the Graduiertenkolleg 2159: "Integrity and Collaboration in Dynamic Sensor Networks," where he serves as a professor overseeing doctoral research. The institute maintains state-of-the-art facilities for processing satellite imagery, aerial photography, and developing novel algorithms for geospatial data analysis. Under his direction, the institute has strengthened its international collaborations and interdisciplinary research approaches, particularly in addressing Sustainable Development Goals through geospatial technologies.

Mohsen Kalantariمشاهده پروفایل

دانشیار

• Geospatial Engineering
• Construction Engineering
• Building Information Modelling (BIM)
• +۷ مورد دیگر

Associate Professor Mohsen Kalantari is a Geospatial Engineering academic at the University of New South Wales (UNSW) School of Civil and Environmental Engineering , with concurrent roles as co-founder of the startup Faramoon . His career spans roles at the University of Melbourne's Department of Infrastructure Engineering and Victorian government's land administration initiatives through DELWP. Education : PhD in Geomatics Engineering (2008, University of Melbourne), Master of GIS Engineering (2004), Bachelor of Surveying Engineering (2001) His research bridges geospatial engineering with construction automation , focusing on 3D cadastre , BIM-GIS integration , and smart cities . Recent publications show trends in underground land administration , digital twins , and LADM standard implementations . Scientific Awards : National educational recognition (2019), Victorian educational grants (2018), and prestigious fellowships (2012) As a supervisor , he guides PhD candidates in topics ranging from BIM for waste management to underground cadastral systems . His industry engagement includes partnerships with the United Nations , Open Geospatial Consortium , and Singapore Land Authority .

Sebastian Schemmمشاهده پروفایل

دانشیار

• Atmospheric Sciences
• Extratropical Cyclone Dynamics
• Jet Stream Physics
• +۷ مورد دیگر

Sebastian Schemm is a Heisenberg Fellow at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, a position regarded as equivalent to a non-permanent Associate Professor. He leads research within the Atmosphere-Ocean Dynamics group and previously held an ERC Starting Grant-funded Assistant Professorship (without tenure track) at ETH Zurich. Education and Career Path PhD (2013) and MSc (2010), ETH Zurich, Switzerland Postdoctoral researcher, University of Bergen, Norway (2014–2017) Postdoctoral researcher, Laboratoire de Météorologie Dynamique, ENS Paris (2017–2018) Assistant Professor (ERC Starting Grant), ETH Zurich (2020–2024) Heisenberg Fellow, DAMTP, University of Cambridge (2025–present) Research Focus Schemm’s work centres on atmospheric and climate dynamics, spanning turbulence to planetary scales. Core themes include the physics of extratropical cyclone life cycles, jet-stream and storm-track dynamics, Rossby waves and teleconnection patterns, high-resolution atmospheric modelling, and the integration of machine-learning techniques for parameter estimation, data assimilation, and kilometre-scale global simulations. He also contributes to large-scale initiatives such as ECMWF’s WeatherGenerator. Scientific Awards and Editorial Service DFG Heisenberg Fellowship (2025) ERC Starting Grant (2020–2024) European Meteorological Society Young Researcher Medal (2019) Co-Editor, Weather and Climate Dynamics (EGU) Co-Editor, Quarterly Journal of the Royal Meteorological Society PhD Supervision & Funding He currently supervises PhD students at both Cambridge and ETH Zurich, with funding streams including the Cambridge CREATES Doctoral Training Partnership and Swiss/EU grants. Ongoing students explore reinforcement-learning parameterisations, jet-stream–storm-track relationships, mid-latitude eddy energetics, machine-learning ensemble forecasting, and Bayesian parameter estimation in LES. Active Projects EU Horizon project WeatherGenerator (led by ECMWF) PASC HiRAD-Gen : High-Resolution Atmospheric Downscaling Using Generative Models

Brett Sandersمشاهده پروفایل

استاد

• Flood modeling and prediction
• Coastal and urban flooding
• Hydrological modeling
• +۷ مورد دیگر

Brett Sanders is a Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering, University of California, Irvine. His research focuses on developing innovative algorithms for flow and transport in river and coastal systems and integrating information technologies to create more accurate and efficient simulation tools for flood hazard assessment. His primary research interests include: Flooding and erosion hazards, particularly coastal flooding and urban flooding Surface water quality Low impact development impacts on hydrology Dam-break flooding Aerial and terrestrial lidar scanning Geographical information systems High performance computing for simulation tools Social dimensions of flood risk and adaptation behaviors Dr. Sanders' recent publications (2024-2025) reveal a comprehensive research program addressing both technical and social aspects of flood risk. His work spans computational hydrodynamics, flood hazard mapping, infrastructure vulnerability assessment, and the socioeconomic dimensions of flood risk. He has made significant contributions to understanding multi-grid modeling of urban flooding, post-fire flood hazards, satellite-based monitoring of land motion, and social inequalities in flood exposure. His research demonstrates how flood dynamics are more complex than simple bath-tub filling models suggest, with important implications for urban planning and climate adaptation. Dr. Sanders has received recognition as a Chancellor's Professor at UC Irvine, indicating distinguished scholarly achievement. His educational background includes: Ph.D. in Civil Engineering from the University of Michigan (1997) M.S. in Civil Engineering from the University of Michigan (1994) B.S. in Civil Engineering from the University of California, Berkeley (1993)

Jan Dirk Wegnerمشاهده پروفایل

دانشیار

• Machine Learning
• Computer Vision
• Remote Sensing
• +۷ مورد دیگر

Jan Dirk Wegner is an Associate Professor at the University of Zurich, holding the chair in 'Data Science for Sciences' and leading the EcoVision Lab. He previously served as a Postdoc (2012–2016) and senior scientist (2017–2020) at ETH Zurich's Photogrammetry and Remote Sensing Group, following his PhD (with distinction) from Leibniz University Hannover (2011). His research bridges machine learning, computer vision, and remote sensing to address environmental and geoscience challenges, focusing on large-scale environmental data analysis, vegetation monitoring, and climate change mitigation. Education: PhD (with distinction) in Geodesy, Leibniz University Hannover (2011) Postdoc, ETH Zurich (2012–2016) Senior Scientist, ETH Zurich (2017–2020) Research Interests: Machine Learning, Computer Vision, Remote Sensing, Environmental Science, Climate Science, Geosciences, Explainable AI, Uncertainty Quantification, and Applications in Sustainability. The EcoVision Lab develops data-driven methods for global-scale environmental monitoring, including vegetation parameter mapping, flood prediction, forest degradation detection, and AI-driven ecological modeling. Awards: ETH Postdoctoral Fellowship (2012–2016) Science Prize of the German Geodetic Commission WEF Young Scientist Class 2020 (Top 25 globally under 40) Advising & Leadership: Director of the University of Zurich's Doctoral School in Data Science, leading the EcoVision Lab, and coordinating the CVPR EarthVision Workshops. His roles include Vice President of ISPRS Technical Commission II, member of the ETH AI Center, ELLIS, and UN-ETH Partnership. Labs/Teams: EcoVision Lab focuses on interdisciplinary AI applications for environmental challenges, collaborating with NGOs, governments, and industry to translate research into societal impact.

Ju Sunمشاهده پروفایل

استادیار

• Machine Learning
• Numerical Optimization
• Computer Vision
• +۵ مورد دیگر

Ju Sun is an Assistant Professor at the University of Minnesota, Twin Cities, in the Computer Science & Engineering department. He leads the Group of Learning, Optimization, Vision, Healthcare, and X (GLOVEX) and plays key roles in the UMN Data Science Initiative (DSI), Program for Clinical AI, and AI-CLIMATE institute. Research Focus : Theoretical foundations of machine learning, computer vision, and numerical optimization with applications in healthcare, inverse problems, and medical imaging. Grants : $4.5M+ in funding including NSF ACED Program and NIH R01 grants for constrained deep learning and imbalanced classification. Teaching & Leadership : Featured in UMN seminars and AI institutes, with affiliations across Electrical and Computer Engineering, Health Informatics, and Medical School. Recent Publications address inverse problems, federated learning, imbalanced classification, and phase retrieval using deep generative priors and diffusion models. His group website details these innovations. Scientific Awards : McKnight Land-Grant Professorship (2025–2027) 2021 AAAI New Faculty Highlights Advising : Mentored three PhD graduates now at Meta, Amazon, and UCLA. Collaborations span medicine, materials science, and biomedical engineering, integrating physics-informed constraints into AI.

Samuel Chengمشاهده پروفایل

دانشیار

• Information Theory
• Signal and Image Processing
• Remote Sensing
• +۴ مورد دیگر

Dr. Samuel Cheng is an Associate Professor at the Gallogly College of Engineering , University of Oklahoma , specializing in Electrical and Computer Engineering . He holds a Ph.D. in Electrical Engineering from Texas A&M University (2004), preceded by M.S. and M.Phil. degrees from the University of Hawaii and Hong Kong University of Science and Technology. Education: B.S. (University of Hong Kong, 1995), M.Phil. (HKUST, 1997), M.S. (University of Hawaii, 2000), Ph.D. (Texas A&M, 2004) Professional Experience: Senior Research Engineer at Advanced Digital Imaging Research (2004-2005), prior internships at Microsoft Asia and Panasonic Technologies His research focuses on Information Theory , Signal and Image Processing , and Pattern Recognition , with applications in remote sensing, urbanization analysis, and disaster monitoring. His publications span topics including urban impervious surface mapping , nighttime light analysis , and machine learning for environmental data . His work often integrates multi-source datasets (e.g., Landsat, LiDAR, social media) for spatiotemporal modeling. Technical Expertise: Spectral unmixing, machine learning, thermal remote sensing, GIS integration Key Applications: Power outage detection, vegetation-crime correlation, PM2.5 estimation, smart meter data fusion Dr. Cheng holds three US patents in digital watermarking and is affiliated with IEEE, Sigma Xi, and AAAS. His recent articles demonstrate a trend toward leveraging AI for remote sensing challenges and analyzing urbanization impacts on ecosystems.

Alan Bovikمشاهده پروفایل

استاد

• Image quality
• Video compression
• Streaming video
• +۷ مورد دیگر

Alan Bovik is the Cockrell Family Regents Endowed Chair Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin's Cockrell School of Engineering. He also holds positions at The Institute for Neurosciences and serves as Director of the Laboratory for Image and Video Engineering (LIVE). With a career spanning over three decades at UT Austin, he has progressed from Assistant Professor (1984-1988) to Associate Professor (1988-1994) to his current position as Full Professor (1994-present). Dr. Bovik received his Ph.D. in Electrical and Computer Engineering in 1984 from the University of Illinois, Urbana-Champaign. Professor Bovik's research focuses on image and video quality assessment, visual perception, and digital media processing. He is renowned for developing groundbreaking algorithms including the Structural Similarity (SSIM) index, Visual Information Fidelity (VIF), and various blind quality assessment models like BRISQUE and NIQE. His work bridges engineering and neuroscience, creating perception-based models that optimize visual media delivery while reducing bandwidth consumption. These innovations have had profound industry impact, with his algorithms processing a significant proportion of global internet video traffic. His recent publications demonstrate continued leadership in perceptual quality assessment, with increasing focus on AI-generated content, high dynamic range (HDR) video, and novel applications in medical imaging. The research shows a clear trajectory toward more sophisticated, neural network-based quality metrics that better align with human visual perception across diverse content types. Professor Bovik has received numerous prestigious awards recognizing his contributions to the field: John Fritz Medal (2024) IEEE Edison Medal (2022) IAMB BaM Award (2022) Elected to the United States National Academy of Engineering (2022) Technology and Engineering Emmy Award (2021) IEEE Fourier Award for Signal Processing (2019) Progress Medal from The Royal Photographic Society (2019) Named Honorary Fellow of The Royal Photographic Society (2019) Primetime Emmy Award (2015) Edwin H. Land Medal from The Optical Society (2017) As Director of the Laboratory for Image and Video Engineering (LIVE), Professor Bovik has secured substantial research funding from organizations including the National Science Foundation and the National Institute for Standards and Technologies. His lab has produced numerous influential datasets including the LIVE Image and Video Quality Databases. He has mentored many successful students who have gone on to make significant contributions in academia and industry, though specific student names are not provided in the source materials. The Laboratory for Image and Video Engineering (LIVE) under Professor Bovik's direction has become a world-renowned center for research in perceptual image and video quality. The lab maintains close collaborations with major technology companies including Netflix, Amazon, and YouTube, ensuring that research has direct practical applications. LIVE has developed numerous influential tools and databases that are widely used in both academic research and industrial applications worldwide.

Ryan Engstromمشاهده پروفایل

استاد

• Remote Sensing
• GIS (Geographic Information Systems)
• Climate Change
• +۳ مورد دیگر

Ryan Engstrom is a Professor and Director of Data Science in the Department of Geography at George Washington University (GW). He is affiliated with the Columbian College of Arts and Sciences and holds a Ph.D. from the joint program at San Diego State University and UC Santa Barbara. His research focuses on Remote Sensing, GIS applications, Climate Change impacts, Arctic environments, and Population Estimation, with an emphasis on poverty mapping and urban deprivation analysis. Engstrom has led major initiatives such as YouthMappers and IDEAMAPS, leveraging geospatial data and satellite imagery to address global development challenges. His work includes developing methodologies for georeferencing historical imagery, estimating non-monetary poverty, and mapping population density in regions like Sri Lanka and Ghana. He has published extensively in Remote Sensing , World Bank Economic Review , and Global Change Biology , among others. Key research trends in his publications involve integrating satellite-derived features with machine learning to model urban poverty, climate-driven land-use changes in Arctic regions, and applications of open-source geospatial tools for international development. Engstrom collaborates globally, contributing to projects like the World Bank’s welfare tracking in disaster-affected regions.

• Climate Change Attribution
• Extreme Weather Events
• Agricultural Impacts of Climate Change
• +۳ مورد دیگر

Mariam Zachariah serves as a Research Fellow at the Centre for Environmental Policy within the Faculty of Natural Sciences at Imperial College London. She is a core contributor to World Weather Attribution (WWA), an international scientific collaboration conducting rapid climate change attribution analyses for extreme weather events globally. Her work bridges climate science, vulnerability assessment, and policy-relevant research. Her educational foundation includes a PhD from the Indian Institute of Technology Bombay (IITB), where she investigated climate impacts on Indian agriculture. This research focused on drought and extreme temperature effects on crop yields in major agrarian regions, recognizing agriculture's critical role in India's climate-vulnerable economy. Zachariah's research centers on near-real-time attribution of extreme events to quantify human-induced climate change influences. Her expertise spans climate modeling, statistical analysis of extreme weather, and integrating vulnerability frameworks to assess compound impacts on communities. She examines how climate change interacts with socioeconomic factors to exacerbate disasters, particularly in agricultural systems and flood-prone regions worldwide. Analysis of her recent publications reveals a dominant focus on rapid attribution of droughts, floods, and heatwaves across diverse global contexts - from the Horn of Africa to Central Europe and South America. These studies consistently demonstrate climate change as a significant amplifier of event severity, while emphasizing how pre-existing vulnerabilities determine actual impacts. Her work increasingly addresses compound hazards and the intersection of climate change with infrastructure failures and land management. As a key member of the World Weather Attribution initiative, Zachariah collaborates with climate scientists, social scientists, and vulnerability experts in a unique operational framework that delivers scientific assessments within days of extreme events. This work directly informs policymakers, media, and affected communities about climate change's role in contemporary disasters.