جست‌وجوی استاد و پژوهشگر

Francisco Oliveraمشاهده پروفایل

دانشیار

• Geographic Information Systems (GIS)
• Water Resources Engineering
• Hydrology
• +۳ مورد دیگر

Francisco Olivera is an Associate Professor in the Zachry Department of Civil and Environmental Engineering at Texas A&M University, part of the College of Engineering. His research focuses on applying geographic information systems (GIS) to water resources engineering, including flood risk assessment, climate change impacts, and hydrological modeling. He holds a Ph.D. in Civil Engineering from the University of Texas at Austin (1996). Key research interests include hurricane surge modeling, urban hydrology, and environmental monitoring. His work integrates GIS tools with hydrological studies to address challenges in disaster resilience, transportation infrastructure vulnerability, and sustainable resource planning. Notable projects include studies on Texas watersheds, coastal wetland protection in Corpus Christi, and climate change adaptation strategies. Olivera’s publications span over two decades, emphasizing interdisciplinary approaches to environmental engineering problems. His recent work explores extreme rainfall prediction, carbon sequestration potential in vegetated areas, and holistic water-energy-food nexus frameworks. He collaborates globally, including projects in Brazil and Spain, and has developed tools like ArcGIS-SWAT for hydrologic modeling. No scientific awards are explicitly listed, but his contributions to flood risk methodologies and GIS integration are widely recognized. He leads educational initiatives, including international study abroad programs in Greece, Spain, and Peru. His research often bridges academic and applied contexts, addressing real-world challenges in environmental and civil infrastructure systems.

Frank Davisمشاهده پروفایل

استاد

• Landscape Ecology
• Conservation Planning
• Climate Change Impacts
• +۳ مورد دیگر

Frank Davis is a Distinguished Professor at the Bren School of Environmental Science and Management and the Department of Geography at the University of California, Santa Barbara. His research focuses on landscape ecology, conservation planning, and climate change impacts on California ecosystems. He leads the Biogeography Lab and directs the La Kretz Research Center at Sedgwick Reserve and the Long Term Ecological Research (LTER) Network Office. Education PhD, Geography and Environmental Engineering, Johns Hopkins University (1982) BA, Biology, Williams College (1975) Research Interests Frank Davis investigates landscape ecology, conservation strategies for California plant communities, and climate change effects on ecosystems. His work integrates remote sensing, GIS, and field studies to address biodiversity conservation, fire management, and protected-area design. Recent projects include oak woodland restoration and socioecological resilience in Mediterranean climates. Key Achievements 2021: Lead author on studies on postfire recovery and drought impacts in California chaparral. 2016: Elected Fellow of the Ecological Society of America. 2010: Google Science Communication Fellow and AAAS Fellow. Recipient of multiple grants for LTER Network coordination and biodiversity monitoring. Labs/Teams Directs the Biogeography Lab (archived) and collaborates with the National Center for Ecological Analysis and Synthesis (NCEAS) and the UC Natural Reserve System. Active in the La Kretz Research Center at Sedgwick Reserve.

Richi Nayakمشاهده پروفایل

استاد

• Text Mining
• Data Mining
• Machine Learning
• +۲ مورد دیگر

Professor Richi Nayak is an internationally recognized expert in data mining, text mining and web intelligence at Queensland University of Technology's School of Computer Science. As the Applied Data Science Program Leader of the Centre for Data Science, she develops novel methods for text classification, clustering, and information extraction using deep learning, matrix factorization, and ranking-centered approaches. Her research spans three main streams: Text Mining for data organization and understanding, applications of data mining in solving real-world problems across domains including education, healthcare and transportation, and algorithms for automation and personalization. She has successfully commercialized technologies including marketing strategy automation and bias detection systems deployed by Fortune 500 companies. Professor Nayak's recent publications focus on practical applications of machine learning including traffic crash analysis, multimodal learning, biomass modeling, and offensive text detection. Her work consistently addresses real-world problems through innovative machine learning approaches.

Thirunavukarasu Balasubramaniamمشاهده پروفایل

پژوهشگر ارشد

• Tensor Factorization
• Machine Learning
• Data Mining
• +۲ مورد دیگر

Thiru Balasubramaniam is a Research Fellow in Computer Science at QUT specializing in tensor/matrix factorization for data science applications. With a PhD from QUT, his work applies computational methods to IoT, social media analysis, and agricultural informatics, with recent focus on climate-pasture yield relationships and misinformation detection. Developed efficient NMF/CMTF algorithms for high-dimensional data. Current projects analyze COVID-19 misinformation dynamics, EV usage patterns, and pasture monitoring using remote sensing. Recipient of QUT-CDS research funding. Teaches data mining, analytics, and web computing courses across undergraduate and postgraduate programs.

• Photogrammetry
• Remote Sensing
• Unmanned Aerial Vehicle (UAV)
• +۷ مورد دیگر

Elzbieta Pastucha is an Associate Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), where she is affiliated with the SDU UAS Center and SDU Climate Cluster. Her research focuses on UAV-based photogrammetry, remote sensing, and geospatial data analysis, with applications in environmental monitoring, urban mapping, and precision agriculture. Education: Ph.D. in Surveying, Photogrammetry, and Remote Sensing, AGH University of Science and Technology (Awarded: January 21, 2016) Research Interests: Her work spans advanced photogrammetric techniques, including smartphone-based 3D modeling, radiometric correction of UAV imagery, and classification of urban environments using neural networks. She applies these methods to solve real-world problems in infrastructure monitoring, geological displacement, and agricultural yield estimation. Her research integrates computer vision, geospatial engineering, and machine learning to enhance data accuracy and usability. Publication Trends: Recent publications (2022–2024) demonstrate a strong focus on UAV photogrammetry, with emphasis on image normalization, deformation correction, and environmental classification. Her work frequently involves interdisciplinary collaboration and appears in high-impact journals such as Remote Sensing , Sensors , and Engineering Geology . Scientific Awards: No awards or fellowships explicitly mentioned in the text. Advising and Grants: While no formal advisees are listed, she is actively teaching courses in statistics, data analysis, and robotics for UAS. She leads and participates in externally funded projects, including the EU-supported 'WildDrone' project as project manager and 'Præcisionsfrøavl' as a project participant, both running from 2023 to 2026. Labs and Teams: She is a key member of the SDU UAS Center and contributes to the SDU Climate Cluster. Her work is conducted within collaborative teams involving researchers from engineering, computer science, and environmental disciplines. She collaborates with researchers across institutions, particularly in UAV-based environmental and agricultural monitoring.

Alexander Bleasdaleمشاهده پروفایل

پژوهشگر

• Remote Sensing
• Artificial Intelligence
• Vegetation Monitoring
• +۳ مورد دیگر

Alexander Bleasdale is a Postdoctoral Researcher at the Swedish University of Agricultural Sciences (SLU), focusing on integrating remote sensing, AI, and camera trapping to monitor vegetation and wildlife interactions. His work bridges environmental science with technological innovation, emphasizing low-cost, accessible methods for ecological research. Current Position: Postdoctoral Researcher, Department of Wildlife, Fish and Environmental Studies, SLU (2025–present) Previous Roles: Research Associate at Lancaster University (2024–2025), PhD in Environmental Science (2019–2024) Education: MSc Environmental Management (2017–2018), BEng Mechanical Engineering (2013–2017) His research interests include applying AI to vegetation phenology, camera trap networks for habitat monitoring, and early disease detection in agriculture. He advocates for ethical AI use and accessible environmental monitoring tools. His publications explore multispectral imaging for apple scab detection, with a focus on neural networks and sensor technology. Current projects under the Big Picture initiative aim to link camera trap and satellite data for ecosystem analysis. While no formal awards are listed, his work contributes significantly to biodiversity and agricultural research. He collaborates across institutions and integrates citizen science data in his frameworks.

Ana B. Ruescasمشاهده پروفایل

دانشیار

• Remote Sensing
• Climate Change
• Water Quality
• +۶ مورد دیگر

Ana B. Ruescas is an Associate Professor in the Department of Geography and a Researcher at the Image and Signal Processing Group (ISP) and Laboratorio de Procesado de Imagenes (LPI) at the University of Valencia. She holds a PhD in Geography from the University of Jaume I (2006) and an MSc in GIS (2003). Her career includes roles at ESRIN (ESA) and Brockmann Consult as a Remote Sensing Specialist. Research focuses on remote sensing applications for environmental monitoring, particularly in water quality, climate change, and satellite data analysis. She has pioneered work on ocean carbon dynamics, machine learning for optical water type classification, and algorithm development for Sentinel missions. Her interdisciplinary work bridges Earth observation with education, including AI-driven educational tools and service-learning projects in protected areas. Key contributions include the SEN4LST project (LST retrieval from Sentinel data), GLaSS project (inland water quality monitoring), and ERC SEDAL project. She has over 70 publications, including peer-reviewed articles on oceanography, machine learning applications, and geospatial education. Her work has been cited over 800 times, highlighting her impact in environmental remote sensing and education technology. Current projects involve advancing satellite-derived water quality metrics, AI integration in environmental data analysis, and sustainable development through Earth observation. She actively collaborates with international teams and contributes to UNESCO/ESA initiatives on World Heritage site conservation.

• Wetland Ecology
• Environmental Science
• General Biology
• +۳ مورد دیگر

John Hribljan is an Assistant Professor in the Department of Biology at the University of Nebraska at Omaha's College of Arts and Sciences. His research focuses on wetland ecology, particularly mountain peatlands in temperate and tropical regions, emphasizing hydrology, plant ecology, soil/water chemistry, and climate change impacts. He leads a lab based in Allwine 101 and actively uses remote sensing and field experiments to inform wetland management policies. His teaching interests include Wetland Ecology, Environmental Science, and General Biology. Research highlights include global-scale studies of peatland carbon dynamics, effects of water table manipulation on ecosystem functioning, and transnational comparisons of tropical peatland degradation. He employs methods like radiocarbon dating, FTIR spectroscopy, and multi-sensor remote sensing to advance understanding of these systems. No scientific awards are listed in the provided profile, though his work demonstrates significant contributions to peatland conservation science. Advising and grant information is not explicitly mentioned. His lab work focuses on Andean and Peruvian ecosystems with applications to global carbon cycling and climate adaptation strategies.

• Biological Invasions
• Conservation Biology
• Plant Ecology
• +۳ مورد دیگر

Prof. Franz Essl is a Professor in the Faculty of Life Sciences at the University of Vienna, leading the Department of Botany and Biodiversity Research. His work focuses on biological invasions, plant ecology, and conservation biology, with particular attention to climate change impacts and policy implications. He has published over 378 articles and led 10+ research projects, including the BioMonI initiative for island biodiversity monitoring and studies on plant naturalization under environmental change. Research interests include global patterns of invasive species, ecological consequences of climate change, and the interplay between human activities and biodiversity. Notable contributions address policy measures for managing biological invasions, cultural perceptions of non-native species, and the legacy effects of historical land use. Recent publications highlight topics like the cultural integration of invasive species, ethical dilemmas in conservation, and the global biodiversity footprint of urban consumption. His work bridges ecological research with socio-economic factors, emphasizing the need for interdisciplinary solutions to ecological challenges. Prof. Essl collaborates internationally, with projects spanning Europe, Asia, and Africa. His research has been featured in high-impact journals like Nature Ecology and Evolution and Global Change Biology , and his activities include conference presentations and policy briefs guiding invasive species management.

Pedro Coutoمشاهده پروفایل

استادیار

• Digital Image Processing
• Computer Vision
• Artificial Intelligence
• +۴ مورد دیگر

Pedro Couto is an Assistant Professor in the Engineering Department at the University of Trás-os-Montes and Alto Douro (UTAD), Portugal. He also serves as Vice Director of the Centre for the Research and Technology of Agro-Environment and Biological Sciences (CITAB) and is an integrated researcher in the Biosystems Engineering group at CITAB. His academic journey includes a PhD in Electrical Engineering (Computer Vision) from UTAD (2007), an M.Sc. in Engineering Technologies (2003), and a Bachelor's in Electrical Engineering (1999). His research focuses on Digital Image Processing, Computer Vision, and Artificial Intelligence, with applications in agriculture, biomedical systems, and robotics. Key areas include root phenotyping for drought resilience, UAV-based remote sensing in almond orchards, and obstacle detection for autonomous vehicles. He also explores kinematic analysis of animal locomotion and spinal cord injury recovery in animal models. His work integrates fuzzy logic and intuitionistic fuzzy sets for image segmentation and classification, with notable contributions to prostate ultrasound imaging and gait analysis in rats. Over 50 peer-reviewed papers demonstrate his expertise across interdisciplinary fields, combining engineering with agricultural and biomedical sciences. Couto's research trends highlight advancements in precision agriculture through UAV technologies, real-time pest detection using machine learning, and biomechanical studies of animal movement. His methodologies emphasize practical applications, such as optimizing orchard management and improving diagnostic tools for medical imaging.

Violeta Babićمشاهده پروفایل

استاد

• Forest Ecoclimatology
• Climate of Forest and Urban Areas
• Applied Ecoclimatology in Silviculture
• +۴ مورد دیگر

Dr. Violeta Babić is a Full Professor at the University of Belgrade's Faculty of Forestry, specializing in Forest Ecoclimatology. She has been affiliated with the institution since 2003 and became a Full Professor in 2019. Her roles include Head of the Department of Silviculture and Director of the Center for Monitoring Climate Change in Forest Ecosystems. Education: Bachelor's degree (1998), Master's degree (2007), and PhD (2014), all from the University of Belgrade Faculty of Forestry. Scholarship holder-talent of the Serbian Ministry of Science during postgraduate studies. Research Interests: Focuses on forest eco-climatology, climate change impacts on ecosystems, dendroclimatology, and silvicultural adaptation strategies. Her work integrates climatic data with ecological processes affecting forest resilience. Teaching Engagement: Teaches courses in ecoclimatology, silviculture, and climate change at undergraduate and postgraduate levels. Active in field training and international accreditation programs. Projects & Leadership: Participant in 12 national scientific projects and the ICP Forests Level II monitoring program. Member of IUFRO Division 1, editorial boards, and national forestry associations. Labs/Teams: Leads the Center for Monitoring Climate Change in Forest Ecosystems, focusing on climate-vegetation interactions and adaptation strategies.

Olivera Košaninمشاهده پروفایل

استاد

• Forest Ecology
• Environmental Protection
• Soil Science
• +۳ مورد دیگر

Olivera Košanin is a Full Professor at the Faculty of Forestry, University of Belgrade, specializing in Forest Ecology, Environmental Protection, and Soil Science. She holds a PhD in Forestry (2011) and has been actively involved in academic teaching since 1993, progressing through roles from Research Assistant to Full Professor (2022). Her teaching spans undergraduate, master’s, and doctoral programs in Forestry, Ecological Engineering, and Landscape Architecture. She is a member of the Serbian Society for Soil Studies and served as President of the Department of Forestry and Nature Protection Council (2019–present). Dr. Košanin’s research focuses on soil morphology, forest ecology, and environmental degradation. She has authored over 121 publications, including studies on pedological mapping in Serbia, acidification processes in soils, and ecological characteristics of forest communities. She has supervised 12 doctoral dissertations, 23 master’s theses, and over 250 undergraduate projects, demonstrating her extensive academic mentorship. Her work integrates pedology with environmental conservation, addressing topics such as forest site classification, soil degradation, and biodiversity assessment. She collaborates on national and international projects, contributing to sustainable land management and ecological restoration strategies.

• Volcanology
• Geophysics
• Seismology
• +۳ مورد دیگر

Mel Rodgers is a Research Assistant Professor in the School of Geosciences at the University of South Florida, affiliated with the College of Arts and Sciences. She holds a Ph.D. (2009–2013) and M.Sci. (2000–2004) from the University of South Florida and University of Durham, respectively. Her research focuses on volcanic processes and hazards, employing geophysical methods such as seismology, photogrammetry, and machine learning. Key projects include studies on volcanoes in Colombia, Montserrat, Nicaragua, and Italy, with an emphasis on improving hazard mitigation through advanced monitoring techniques and community outreach. She has pioneered UAV-based surveys for topographic change detection, magnetic anomaly mapping, and wetland monitoring. Rodgers has received the Richard A. Davis Endowed Fellowship in Geology (2013) and contributed to interdisciplinary grants, including a $1.5M initiative for coastal climate-risk apps. Her work bridges academia and public engagement, as seen in her podcast appearance ( Calling: Earth #041 ) and collaborations with volcano monitoring institutions. Key Projects: Blackfoot Reservoir volcanic field studies, UAV applications in geosciences, and eruption forecasting via machine learning. Grants: $1.5M NSF grant for coastal hazard assessment tools. Labs/Teams: Collaborates with international volcano monitoring groups and utilizes USF’s geology field station resources.

• Environmental Science
• Agricultural Sustainability
• Forest Ecology
• +۳ مورد دیگر

Ashok Chaudhary is a Post Doctorate Researcher at the University of Georgia's Warnell School of Forestry and Natural Resources. His work focuses on sustainable land management, agricultural systems, and environmental science, with particular emphasis on South Asian contexts. He investigates soil fertility dynamics in crop-livestock systems, customary forest governance, and carbon sequestration in plantations. Research interests include: sustainable agriculture, forest ecology, climate change mitigation, and socio-economic factors influencing land use. His studies bridge ecological and social sciences, addressing challenges in smallholder farming and community forestry. Recent work highlights innovative frameworks for land restoration planning, spatial analysis of forest typology via remote sensing, and synergies between wood production and carbon sequestration through hybrid tree species. Articles emphasize interdisciplinary approaches to environmental management and policy.

Neal Snookeمشاهده پروفایل

مدرس

• Artificial Intelligence
• Model-Based Reasoning
• Temporal Logic
• +۳ مورد دیگر

Neal Snooke is a Lecturer in the Department of Computer Science at Aberystwyth University. His research focuses on Artificial Intelligence, model-based reasoning, temporal logic, and software analysis, with applications in UAV technology for environmental monitoring and failure analysis. He maintains the Marking Scheme and Feedback tool and has contributed to over 34 publications since 1997. Snooke has led projects such as the 2011–2014 EADS-funded study on Model Driven Architecture failure analysis. Education: PhD (Wales), BSc. Research Interests: Snooke’s work integrates AI with practical systems like UAVs for ecological tracking, glacier monitoring, and vegetation analysis. His recent studies include low-cost animal tracking systems and high-resolution ice sheet photogrammetry. Publications: Over 30 peer-reviewed articles since 1997, with recent emphases on UAV applications, environmental modeling, and failure mode analysis. Key areas include UAV-based ice sheet dynamics and vegetation classification. Grants/Projects: PI of the 2011–2014 EADS Innovation Works project on Model Driven Architecture failure analysis. Personal: Enjoys kite surfing, mountain biking, and FPV drone building.