جستجوی استاد راهنمای دانشگاهی

Yeyin Shiمشاهده پروفایل

دانشیار

• Agricultural Remote Sensing
• Precision Agriculture
• High-throughput Phenotyping
• +۴ مورد دیگر

Yeyin Shi is an Associate Professor and Agricultural Intelligence Engineer at the University of Nebraska-Lincoln, Department of Biological Systems Engineering. His research focuses on applying artificial intelligence and remote sensing technologies to enhance agricultural productivity and sustainability. He teaches courses such as AGST 316: Technologies and Techniques for Digital Agriculture and AGEN/AGRO/AGST 431/892: Site-Specific Crop Management. He holds a Ph.D. in Biosystems and Agricultural Engineering from Oklahoma State University (2014), an M.S. (2010), and a B.S. in Mechanical Engineering from Nanjing Forestry University (2007). Research Interests: Agricultural data generation/analysis, remote sensing systems (satellite/UAV-based), crop stress sensing, precision crop management, and high-throughput phenotyping. His work bridges machine learning, robotics, and agronomy to address challenges in sustainable farming practices. Recent projects include maize tassel detection via deep learning, UAV-based weed detection, and nitrogen stress indices for maize using hyperspectral imagery. Awards: ASABE Outstanding Manuscript Reviewer (2015), 1st Place Postdoc Research Poster (2015), 2nd Place Student Robotic Competition (2012) Grants: Active collaborations on USDA-funded projects for precision agriculture and phenotyping Labs/Teams: Leads the Agricultural Intelligence Research Group at UNL, focusing on AI-driven agricultural solutions His research emphasizes scalable solutions through edge computing and cloud-based frameworks for irrigation scheduling and crop monitoring, aiming to optimize resource use in both row crops and livestock systems.

Yu Kangمشاهده پروفایل

استاد

• Precision Agriculture
• Remote Sensing
• Plant-Environment Interactions
• +۳ مورد دیگر

Prof. Yu Kang is a Professor of Precision Agriculture at the TUM School of Life Sciences, Technische Universität München (TUM). His research focuses on integrating imaging, sensing, and computational methods to study plant-environment interactions. He aims to enhance resource efficiency and reduce environmental impact through precision crop management. Prior to TUM, he held positions at China Agricultural University (CAU) and conducted postdoctoral research at ETH Zurich and KU Leuven. Prof. Yu's career includes roles such as Associate Professor of Crop Science at CAU and postdoctoral fellowships in physical geography. His educational background includes a doctoral degree from the University of Cologne (2014) and undergraduate studies at China Agricultural University. Key research areas include remote sensing for crop health monitoring, hyperspectral imaging for disease detection, and machine learning applications in agriculture. His work has led to innovations in crop nitrogen management and precision phenotyping. Awards include the Innovation Team Award (2019) from the Crop Science Society of China and the GSGS Fellowship (2014) from the University of Cologne.

Michelle Jungbluthمشاهده پروفایل

استاد مدعو

• Biological Oceanography
• Molecular Biology
• Marine Ecology
• +۷ مورد دیگر

Michelle Jungbluth is an Adjunct Professor of Biology at San Francisco State University (SFSU), specializing in Biological Oceanography and Molecular Biology. She leads the Jungbluth Lab at the Estuary & Ocean Science Center, focusing on marine ecosystems, microbial diversity, and the application of advanced molecular techniques like environmental DNA (eDNA) and genomics. Her work integrates interdisciplinary collaborations, including studies on deep-sea exploration, microbial extremophiles, and AI-driven environmental solutions. Her research emphasizes food web dynamics, wetland restoration, and biodiversity assessment in marine and estuarine environments. Key projects include collaborations with Dr. Wim Kimmerer on zooplankton studies, Dr. Karen Crow on manta ray distribution via eDNA, and UC Davis on sevengill shark diets. She also develops data standards for genomic and environmental research through initiatives like the MIEM guidelines and FAIR-aligned data frameworks. Research interests span astrobiology, deep biosphere exploration, and synthetic biology applications for environmental challenges. The lab supports M.S. students in Integrative Biology or Computer Science, and volunteers in field and lab settings. Funding sources include grants from agencies like NSF and NOAA, supporting projects on microbial ecology, deep-sea biodiversity, and AI in environmental science. Notable achievements include pioneering eDNA methodologies, characterizing abyssal larval communities, and advancing genomic standards. Her lab’s work contributes to both fundamental understanding of marine systems and applied solutions for ecosystem resilience and conservation.

James Schnableمشاهده پروفایل

استاد

• Plant Genomics
• Crop Phenomics
• Quantitative Genetics
• +۳ مورد دیگر

James Schnable serves as the Charles O. Gardner Professor of Agronomy in the Department of Agronomy and Horticulture at the University of Nebraska-Lincoln. His research integrates genomic, phenomic, and environmental data to advance crop breeding methodologies for maize and sorghum, with particular emphasis on climate-resilient varieties. Dr. Schnable's research program spans plant genomics , high-throughput phenomics , and quantitative genetics , focusing on genetic dissection of nitrogen use efficiency, photosynthetic traits, and stress tolerance mechanisms. His laboratory pioneers UAV- and satellite-based phenotyping systems, machine learning applications for image analysis, and genomic prediction models that bridge genotype-phenotype gaps under variable environmental conditions. Key innovations include nighttime fluorescence phenotyping to reduce environmental noise and spectral feature extraction for accelerated trait assessment. Analysis of his 2021-2025 publications reveals consistent leadership in genotype-environment interaction studies and computational phenotyping , with dominant themes including transcription factor binding site variation explaining heritability, nonphotochemical quenching kinetics in stress responses, and scalable satellite-based yield prediction methods. His work frequently employs the Genomes to Fields Initiative infrastructure for multi-state field validation. Charles O. Gardner Professorship Dr. Schnable directs an active research program involving advanced sensor networks, genomic selection pipelines, and multi-institutional field trials. His team develops computational frameworks like PlantSegNet for 3D plant reconstruction and SPARC-LoRa for agricultural IoT applications. While specific grant details aren't provided in source materials, his extensive publication record in high-impact journals indicates sustained funding from major agricultural research programs. The laboratory maintains cutting-edge phenotyping infrastructure including UAV fleets, hyperspectral imaging systems, and gas sensor networks for early stress detection. Current projects focus on nitrogen-responsive growth trajectories, chilling tolerance mechanisms in panicoid grasses, and gut microbiome interactions with grain composition, reflecting an integrative approach from molecular mechanisms to field performance.

Tianyuan ZHANGمشاهده پروفایل

استادیار

• Artificial Intelligence
• Data Science
• Supply Chain Management
• +۴ مورد دیگر

Tianyuan ZHANG serves as Assistant Professor of Data Science and Business Analytics at KEDGE Business School since 2023, affiliated with the Operations, Supply Chain and Information Management department while also teaching at IMT Mines Albi. His academic credentials include: PhD in Cartology and Geographic Information System from Peking University (China) Bachelor's degree in Information Engineering from Beihang University (China) His research pioneers knowledge-based and data-driven artificial intelligence applications, with core expertise in supply chain optimization, crisis/risk management, and logistics systems. Interdisciplinary integration defines his work, merging remote sensing technologies with agricultural analytics and machine learning frameworks for supply chain predictive modeling. Recent publications (2019-2025) reveal a pronounced trajectory toward AI-enhanced agricultural monitoring and supply chain resilience , featuring innovations in vegetation indices, chlorophyll estimation, drought prediction, and LSTM-based crop growth modeling using satellite data. No scientific awards or grant details are documented in available sources. Similarly, no formal advisees or research teams are specified in the current records.

• Aquatic Ecology
• Harmful Algal Blooms
• Invasive Species
• +۳ مورد دیگر

Andy Dzialowski is a Professor in the Department of Integrative Biology at Oklahoma State University. His research focuses on aquatic ecosystems, including reservoirs, streams, and wetlands, with an emphasis on harmful algal blooms, invasive species, and metacommunity ecology. He investigates how biotic interactions, resource availability, and human activities shape aquatic communities and water quality. Research Interests : Aquatic Ecology Harmful Algal Blooms Invasive Species Metacommunity Ecology Water Quality Management Zooplankton Ecology Recent work includes studies on cyanobacteria's ecological impacts, Paddlefish restoration success in reservoirs, and the development of the Salt Belt Index for chloride pollution assessment. His research integrates field studies, laboratory experiments, and remote sensing technologies to address environmental challenges. Grants & Funding : Next-Generation Monitoring: Satellite Remote Sensing and eDNA Integration for Invasive Plants (2025–2028) Lake Texoma Watershed Plan Development (2023–2024) Monitoring Drinking Water Quality, City of Stillwater (2022–2023) Teaching : Dr. Dzialowski teaches courses such as Environmental Biology , Limnology , and Animal Biology , emphasizing hands-on field experiences and ecological principles. He mentors students through research programs like Research for PhD Dissertation and Undergraduate Research Problems . Collaboration & Labs : His work involves interdisciplinary collaboration, including the Collaboration Network , and focuses on applied solutions for water quality and ecosystem management.

Iris van Durenمشاهده پروفایل

استادیار

• Remote Sensing
• Ecology
• Environmental Science
• +۷ مورد دیگر

Iris van Duren is an Assistant Professor at the University of Twente, affiliated with the Department of Natural Resources at ITC (International Institute for Geo-Information Science and Earth Observation) and the Digital Society Institute. Her work bridges remote sensing, spatial analysis, and environmental science, focusing on sustainable resource management, biodiversity conservation, and bioenergy. She holds a senior teaching qualification and has contributed to international projects like EOPOWER and the Dian Fossey Gorilla Fund. Her research spans wetland ecology, invasive species, and policy integration with remote sensing. Education: B.Sc. and M.Sc. in Biology from Radboud University (formerly Nijmegen), followed by a PhD in wetland ecology at the University of Groningen. She has held roles at IAC (Wageningen) and ITC since 1999. Research interests include remote sensing applications for biodiversity, bioenergy sustainability, and spatial decision-making. She emphasizes linking scientific findings to societal impact through teaching and journalism. Key areas: sustainable biomass production, carbon dynamics, and environmental policy. Scientific contributions include over 46 publications and the SEFI Best Paper Award (2020) for cultural teaching methods research. Her work aligns with UN SDGs, particularly SDG 13 (Climate Action), SDG 15 (Life on Land), and SDG 14 (Life Below Water).

• Remote Sensing
• Biogeochemistry
• Ecosystem Ecology
• +۳ مورد دیگر

Dr. Gregory Duveiller is a Project Group Leader at the Max Planck Institute for Biogeochemistry in Jena, Germany, where he leads the Ecosystem Function from Earth Observation group under the Biogeochemical Integration department. With a PhD in Agronomical Sciences (2011) and postdoctoral experience at the European Commission Joint Research Centre (2011-2021), his work focuses on leveraging satellite Earth Observation data to understand terrestrial ecosystems' role in the Earth System. Research Interests: Land-atmosphere interactions, remote sensing of vegetation, spatio-temporal statistical analysis, land cover/use dynamics, and climate impacts on ecosystems. Scientific Awards: 2020 JRC Excellence Award (Shared) 2019 JRC Young Scientist Excellence Award 2016 JRC Scientific Excellence Award (Shared) 2006 Aspirant FNRS PhD Scholarship Advising: No formal advisees listed in available records. Publications: Recent work includes studies on sun-induced fluorescence, GPP estimation, deforestation impacts on drought vulnerability, cloud formation dynamics due to tree distribution, and biodiversity-ecosystem function relationships using satellite data. Email: gduveiller@bgc-jena.mpg.de

Alison Fowlerمشاهده پروفایل

پژوهشگر ارشد

• Data Assimilation
• Meteorology
• Marine Ecology
• +۴ مورد دیگر

Dr. Alison Fowler is a Research Fellow at the University of Reading's Department of Meteorology, affiliated with the National Centre for Earth Observation (NCEO) and the Data Assimilation Research Centre. She specializes in Data Assimilation with applications to Meteorology and Marine Ecology. Her research focuses on observation impact analysis, bias correction, and improving numerical weather prediction through advanced data assimilation techniques. Education: PhD in Meteorology from the University of Reading (2010). She has held roles including Associate Editor of Monthly Weather Review and has organized international data assimilation conferences. Awards include participation in NERC's Growing Future Leaders program and travel grants for research collaboration. Research Interests: Observation impact metrics, model bias correction, coupled atmosphere-ocean systems, and marine biogeochemistry. Awards: NERC Leadership Program, Royal Meteorological Society Travel Grant, AMS Poster Prize. Supervision: Currently mentoring PhD students on topics like explainable AI in convective forecasting and ensemble-based assimilation of satellite data. Past students have focused on satellite bias correction and model error analysis. Labs/Teams: Active in the Data Assimilation Research Centre and NCEO, contributing to international initiatives like pandemic forecasting using ensemble methods.

• Remote Sensing
• Carbon Sequestration
• Vegetation Monitoring
• +۵ مورد دیگر

Cheryl A. Rogers serves as an Assistant Professor in the Department of Geography and Environmental Studies at Toronto Metropolitan University, where she leads research in remote sensing applications for carbon cycle monitoring. Her work leverages satellite-derived signals including vegetation indices, chlorophyll fluorescence, and multi-spectral data to quantify carbon sequestration across diverse ecosystems from temperate forests to peatlands and urban green infrastructure. Her research program focuses on the intersection of satellite remote sensing and terrestrial carbon dynamics, with particular emphasis on developing novel methodologies to track vegetation's capacity for carbon dioxide removal. Key approaches include analyzing relationships between leaf chlorophyll content and photosynthetic efficiency, modeling carbon flux responses to climate extremes, and integrating multi-sensor satellite data (SAR, optical, LiDAR) with machine learning techniques. This work spans critical ecosystems including Canada's boreal forests, Hudson Bay Lowlands peatlands, and urban green roofs. Analysis of her recent publication record (2023-2025) reveals three dominant research thrusts: (1) advancing remote sensing techniques for biomass and carbon stock mapping through multi-sensor data fusion, (2) modeling carbon cycle responses to climate change and extreme events using process-based simulations, and (3) developing new approaches for monitoring vegetation physiological processes through chlorophyll fluorescence and spectral indices. Her work consistently addresses climate mitigation challenges with practical applications for forest management and carbon accounting. No scientific awards were documented in the provided source material. Dr. Rogers contributes to academic advising as evidenced by her co-authorship of Academic Advising: A Comprehensive Handbook (2000). While specific current advisees and grant funding details were not disclosed in the available text, her active publication record indicates ongoing research mentorship and project leadership. Her work has significant implications for nature-based climate solutions including retention forestry practices and green infrastructure planning.

• Remote Sensing
• Forest Management
• Bark Beetle Detection
• +۵ مورد دیگر

Peter Surový is an Associate Professor at the Czech University of Life Sciences Prague (CZU), where he serves in the Department of Forest Management and Forest Conservation within the Faculty of Forestry and Wood Technology. He also holds the position of Vice-Chairman of the Academic Senate Dean's Board of the Faculty of Law at CZU, demonstrating his cross-disciplinary engagement within the university. Dr. Surový's research focuses on the application of advanced remote sensing technologies in forest management and conservation. His work spans multiple areas including: Utilization of satellite imagery and UAV/drone technology for forest health monitoring Bark beetle detection and forest disturbance assessment Forest fire risk modeling and assessment Drought impact analysis on forest ecosystems Development of innovative methods for forest inventory and mensuration His recent publications highlight a strong emphasis on integrating artificial intelligence with remote sensing data to address pressing forest management challenges. Dr. Surový has been particularly active in developing early warning systems for forest disturbances and creating practical tools that can be implemented by forest managers. His research often involves international collaborations, with projects extending to tropical forests in Ghana and Angola, demonstrating the global relevance of his work. Dr. Surový has been involved in several significant research projects including: "Mapping of forest health status, tree species, and forest risks using innovative ICT data and approaches" (TA0 2021-2024) "Monitoring the status and development of bark beetle-damaged stands after the bark beetle calamity" (MZE 2021-2023) "Frameworks and possibilities of forestry adaptation measures and strategies related to climate change" (EHP 2015-2016) His methodological contributions include certified methodologies for UAV-based forest monitoring and damage assessment, which have been adopted by forest enterprises in the Czech Republic. Dr. Surový's work bridges the gap between cutting-edge technology and practical forest management applications, making significant contributions to sustainable forestry practices.

• Remote Sensing
• Environmental Science
• Ecological Modeling
• +۲ مورد دیگر

Jing Chen is an Adjunct Professor in the Earth, Environment & Society department at McMaster University , specializing in remote sensing applications for environmental and ecological studies. With over two decades of research activity, their work bridges satellite data analysis, vegetation biophysical parameter estimation, and terrestrial carbon cycle modeling. Key research areas: Remote sensing methodology, vegetation indices, leaf area index (LAI), chlorophyll content, carbon flux inversion, and ecological modeling Technical focus: Multi-sensor data fusion, topographic correction algorithms, and canopy structure analysis Applications: Forest carbon sequestration, agricultural productivity mapping, climate change impacts, and atmospheric-biospheric interactions Their recent publications demonstrate growing emphasis on global carbon budget analysis using OCO-2/TROPOMI satellite data, machine learning frameworks for vegetation monitoring, and multi-spectral remote sensing for ecological parameter estimation. Notable collaborations include work on the GlobCarbon initiative and GEOS3 atmospheric modeling system. Current projects address critical challenges in carbon neutrality research , including uncertainty quantification in carbon budgets, forest degradation impacts, and vegetation productivity responses to climate extremes. The research spans diverse ecosystems from boreal forests to tropical plantations, with methodological innovations in UAV-based monitoring and solar-induced fluorescence normalization .

• Remote Sensing
• Environmental Science
• Conservation Biology
• +۳ مورد دیگر

Jelle Ferwerda serves as a Research Coördinator within a Faculty Buro, focusing on interdisciplinary environmental research. His work bridges remote sensing, ecological modeling, and conservation biology to address global environmental challenges. Ferwerda’s research emphasizes applications of remote sensing in understanding wildlife behavior, ecosystem dynamics, and resource management, with notable contributions to studies on African elephants and savanna ecosystems. Key areas of expertise include remote sensing technology integration, hyperspectral imaging analysis, and sensor network development for environmental monitoring. His collaborations span institutions globally, addressing topics such as human-wildlife interaction, protected area effectiveness, and nutrient dynamics in agricultural systems. Ferwerda has published extensively since 2002, with over 30 research outputs and an h-index of 13, reflecting significant academic impact. Notable contributions include a 2021 study on elephant range dynamics across Africa and a 2024 analysis of rainfall effects on elephant movement in Kenya. His work aligns with UN Sustainable Development Goals related to biodiversity conservation and sustainable land management. Ferwerda’s research methodologies often combine field surveys with advanced remote sensing techniques, emphasizing practical applications for policy and conservation.

Norma Froelichمشاهده پروفایل

دانشیار

• Physical Geography
• Weather & Climate
• Forest-Atmosphere Interaction

Dr. Norma Froelich is an Associate Professor in the Department of Earth, Environmental and Geographical Sciences at Northern Michigan University (NMU), where she has taught since 2013. Her research focuses on physical geography, weather and climate systems, and the interaction between forests and the atmosphere. She holds a B.Sc. from The University of Western Ontario, an M.S. and Ph.D. from Indiana University, and completed a postdoctoral fellowship at Environment Canada's Climate Research Division. Her teaching responsibilities include courses such as Earth's Climate: Past, Present, and Future , Weather and Climate , and Energy & The Environment . Her publications emphasize forest-atmosphere interactions, carbon/water flux modeling, and microclimate dynamics, with a focus on advancing understanding of forest ecosystem responses to environmental changes. Dr. Froelich's work bridges meteorology, ecology, and environmental science, contributing to both theoretical and applied research in climate modeling and forest ecology. Her research trends highlight interdisciplinary approaches to studying forest ecosystems, including the use of chlorophyll content as a proxy for photosynthetic activity and the role of canopy dynamics in regulating carbon and energy fluxes. She has collaborated extensively on projects analyzing temperate-boreal forest transitions and nocturnal cooling phenomena. Dr. Froelich is based in Weston Hall, Room 3117, and can be reached at nfroelic@nmu.edu .

• Remote Sensing
• Forest Ecology
• Environmental Science
• +۳ مورد دیگر

Dr. Rocio Hernandez-Clemente is an Honorary Senior Lecturer in the Geography Department at Swansea University , within the School of Biosciences, Geography and Physics under the Faculty of Science and Engineering . Her research focuses on advancing remote sensing techniques for monitoring forest health, vegetation dynamics, and environmental changes. She specializes in applications of hyperspectral and thermal imagery, radiative transfer modeling, and satellite data analysis to detect stress, diseases, and ecological thresholds in forest ecosystems. Dr. Hernandez-Clemente collaborates on projects addressing global challenges such as climate impacts, pathogen-induced decline, and biodiversity conservation. Her work integrates interdisciplinary approaches, combining field data with advanced imaging technologies to improve early detection of vegetation health issues and ecosystem resilience. Key areas include detecting infections like Xylella fastidiosa in olive orchards, analyzing boreal forest photosynthesis dynamics, and modeling chlorophyll content using Sentinel-2A and hyperspectral sensors. She also explores aridity-driven ecosystem thresholds and global soil multifunctionality in drylands using satellite and field data. Dr. Hernandez-Clemente’s research has been published in prestigious journals such as Nature Communications , Remote Sensing of Environment , and Science , reflecting her contributions to environmental and ecological remote sensing. Her projects often involve international collaborations and practical applications in forest management, agriculture, and climate science.