جست‌وجوی استاد و پژوهشگر

Marc D. Abramsمشاهده پروفایل

استاد

• Forest Ecology
• Fire Ecology
• Climate Change Impacts
• +۳ مورد دیگر

Marc D. Abrams is the Nancy and John Steimer Professor of Ecosystem Science and Management at Pennsylvania State University's College of Agricultural Sciences. His research focuses on forest dynamics, particularly the impact of fire exclusion, climate change, and human activity on forest composition and biodiversity. He has conducted extensive studies on oak and pine ecosystems, historical fire regimes, and the role of indigenous burning practices in shaping eastern US forests. Key research interests include dendroecology, paleoecological reconstruction, and vegetation classification. His work frequently integrates historical data, such as witness tree records and colonial land-use patterns, to understand long-term ecological changes. Recent studies have explored deer population impacts, wind damage probability modeling, and the effects of precipitation trends on forest health. His publications highlight interdisciplinary approaches to assess climate change impacts and advocate for adaptive forest management strategies. Abrams retired after 35 years at Penn State in 2022 but continues contributing to scholarly discussions on forest conservation and ecological resilience.

Gregory J. Carboneمشاهده پروفایل

استاد

• Climate Variability
• Drought Monitoring
• Climate Change Impacts
• +۱ مورد دیگر

Gregory J. Carbone is a Professor in the Department of Geography at the University of South Carolina. His research investigates climate variability and change impacts on water resources and agriculture, with emphasis on drought monitoring systems and climate scenario development. He earned his Ph.D. from the University of Wisconsin-Madison (1990), M.A. from University of Kansas (1984), and B.A. from Clark University (1982). His research develops tools for drought assessment in data-scarce regions and examines how spatial scale affects climate impact assessments. Research focuses on drought monitoring techniques, climate extremes, and the application of climate information in water resource management. Recent work explores uncertainty in precipitation indices, agricultural sensitivity to drought, and regional climate projections. He co-developed the Carolinas Dynamic Drought Index tool used by water managers. His publications demonstrate consistent innovation in drought monitoring methodologies, with recent advancements in spatial visualization of climate impacts and statistical downscaling techniques. Research integrates geospatial analysis, remote sensing, and statistical modeling. Teaching excellence recognized through multiple awards: Michael J. Mungo Distinguished Professor of the Year (2025) Mortar Board Excellence in Teaching Award (2012) Mungo Undergraduate Teaching Award (2005) He has supervised 6 MS students and served on 50+ thesis committees. Major grants include $3.75 million from NOAA for the Carolinas Integrated Sciences & Assessments program. Professional service includes editorial roles for Physical Geography and leadership in the American Association of Geographers.

• River Ecology
• Wetland Conservation
• Conservation Biology
• +۷ مورد دیگر

Professor Richard Kingsford is a distinguished river ecologist and conservation biologist at the University of New South Wales (UNSW), serving as Director of the Centre for Ecosystem Science within the School of Biological, Earth & Environmental Sciences. With a career spanning over three decades since earning his PhD from the University of Sydney in 1986, he has established himself as a leading expert on Australian river systems. His research focuses on river ecology and conservation biology, particularly in the wetlands and rivers of the Murray-Darling Basin and Lake Eyre Basin. Kingsford's work integrates field ecology with policy development, having previously worked for the NSW Government Environment agency from 1986-2004 before transitioning to academia. He has made significant contributions to understanding how river regulation impacts ecosystems and biodiversity. Kingsford's recent publications demonstrate his expertise in freshwater ecosystem science, adaptive management approaches, and conservation interventions. His research spans from fundamental ecological studies of river systems to applied conservation projects including the Wild Deserts rewilding initiative in Sturt National Park and the Platypus Conservation Initiative. He has developed expertise in using emerging technologies like drone imagery and remote sensing for ecosystem monitoring. As an influential researcher, Kingsford has served on numerous state and federal advisory committees, helping translate scientific findings into river policy and management practices across Australia. His work bridges the gap between academic research and practical conservation outcomes through community engagement and strategic adaptive management approaches. Director of the Centre for Ecosystem Science, UNSW Leader of Wild Deserts rewilding project Expert in Murray-Darling Basin and Lake Eyre Basin ecosystems Specialist in freshwater conservation and adaptive management

Chaopeng Shenمشاهده پروفایل

استاد

• Hydrology
• Deep Learning
• Physics-Informed Machine Learning
• +۹ مورد دیگر

Chaopeng Shen is a Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University. His research bridges hydrology with state-of-the-art deep learning and differentiable modeling techniques, focusing on advancing our understanding of hydrologic cycles and their interactions with ecosystems, energy, and carbon cycles. He leads the Multi-scale Hydrology, Processes and Intelligence group (MHPI) and has developed the Process-based Adaptive Watershed Simulator (PAWS) for large-scale hydrologic modeling. Shen's work emphasizes physics-informed machine learning , where deep learning components are integrated with process-based equations through differentiable modeling. This approach enables training neural networks using big data while respecting physical laws, leading to improved generalizability and robustness. His group has demonstrated advantages of differentiable models in rainfall-runoff prediction, routing, ecosystem modeling, and water quality studies. Notably, his team's deepLDB project addresses landslide prediction using AI and big datasets. Recent publications highlight his contributions to global water modeling (grid-LSTM, differentiable Muskingum-Cunge routing), extreme flood forecasting (probabilistic diffusion models), and hydrologic uncertainty quantification . Shen actively engages in interdisciplinary collaborations through the PRISM Cooperative Institute, which aims to integrate multi-domain data for systemic risk assessment. His group has advised students including Dapeng Feng, Wen-Ping Tsai, Kuai Fang, Xinye Ji, and Tasnuva Mahjabin. Shen's research is supported by the National Science Foundation (NSF), Department of Energy (DoE), USGS, Google.org, and the Gates Foundation. He serves as Editor for the Journal of Geophysical Research - Machine Learning & Computation and Chief Editor for Frontiers in Water: Water & AI. His open-source software tools like PAWS and deepLDB are available through dedicated project websites.

• Functional Biogeography
• Plant Ecology
• Biodiversity Research
• +۳ مورد دیگر

Jens Kattge is an Independent Research Group Leader at the Max Planck Institute for Biogeochemistry in Jena, Germany, specializing in Functional Biogeography. His career spans roles from Research Associate (2002–2005) to Senior Scientist (2010–2012) and current group leadership since 2013. He focuses on plant functional traits, their role in terrestrial ecosystems, and their integration into Earth system models. He coordinates the global TRY Initiative , a plant trait database for biodiversity research, and contributes to the German Centre for Integrative Biodiversity Research (iDiv). His research spans functional biogeography, trait-climate relationships, ecosystem modeling, and biodiversity-ecosystem functioning. Key projects include developing the rtry R package for trait data preprocessing and analyzing global datasets like CoRRE Trait Data and sPlotOpen. Recent publications investigate leaf cuticle thickness, drought responses in tree species, trait controls on biomass, global biodiversity patterns, and the integration of citizen science with Earth observation data. His work emphasizes trait data representativeness and future-proofing ecological science.

Hassan Saeed Khanمشاهده پروفایل

استادیار

• Urban Climatology
• Building Energy Management
• Renewable Energy Technologies
• +۴ مورد دیگر

Dr. Hassan Saeed Khan is a Lecturer (Assistant Professor) at Central Queensland University and an Adjunct Lecturer at the University of New South Wales . He holds a Ph.D. in Built Environment from UNSW (2018-2022), a Master of Science in Architectural Engineering from Politecnico di Milano (2010-2012), and a Bachelor of Science in Building and Architectural Engineering from UET Lahore (2003-2008). His research focuses on zero-energy buildings , radiative cooling materials , and urban heat mitigation . Ph.D. in Built Environment, UNSW Australia (2018-2022) MSc in Architectural Engineering, Politecnico di Milano (2010-2012) BSc in Building and Architectural Engineering, UET Lahore (2003-2008) Dr. Khan specializes in urban climatology , energy-efficient building systems , and climate-responsive urban design . His work includes fluorescent radiative coolers for urban surfaces, seasonal performance modulation of cooling materials, and microclimate evaluation in coastal regions. His research spans thermal performance of buildings, extreme heat event analysis , and renewable energy integration . His recent publications highlight scalable radiative cooling solutions, synoptic weather interactions with urban heat, and green infrastructure benefits in subtropical environments. Key projects include ARC Discovery grants on fluorescent materials and consultancy with BlueScope and Dulux for material performance optimization. HDR Completion Scholarship (UNSW, 2022) Data61 CSIRO Ph.D. Top-up (2019-2022) ADA HDR Research Output Awards (2021, 2022) UniverLecco Gold Merit Scholarship (Politecnico di Milano, 2010-2012) Award of Distinction (KFUPM, 2016-2017) Dr. Khan has supervised research in 4011 Environmental Engineering , 3302 Building , and 3304 Urban Planning . His interdisciplinary approach bridges building science , materials engineering , and climate adaptation . He employs tools like ENVI-met for microclimate analysis and DesignBuilder for energy modeling.

Anna Pidgeonمشاهده پروفایل

استاد

• Wildlife Habitat Ecology
• Conservation Biology
• Avian Community Dynamics
• +۲ مورد دیگر

Anna Pidgeon is Professor in the Department of Forest and Wildlife Ecology at University of Wisconsin-Madison. Her research addresses habitat requirements of vertebrate species, particularly birds, within human-modified landscapes. Pidgeon investigates conservation challenges through habitat suitability modeling, landscape connectivity analysis, and remote sensing applications. Research integrates field surveys with satellite-derived metrics like Dynamic Habitat Indices to predict biodiversity patterns across scales. Current studies examine how climate change and land-use alter habitat resilience, with projects spanning Wisconsin forests, Patagonian ecosystems, and tropical regions. Methodological innovations include texture analysis of satellite imagery to quantify habitat heterogeneity. Educational background includes PhD in Wildlife Ecology from UW-Madison (2000), MS from Central Washington University (1995), and BS degrees from University of Minnesota in Life Science Education (1989) and Wildlife Management (1983).

Hannes Taubenböckمشاهده پروفایل

استاد

• Remote Sensing
• Global Urbanization
• Urban Structure Analysis
• +۶ مورد دیگر

Prof. Dr. Hannes Taubenböck holds the Chair of Global Urbanization and Remote Sensing at the Julius-Maximilians University of Würzburg (Faculty of Philosophy, Institute of Geography and Geology) since 2022 and collaborates with the German Aerospace Center (DLR). His research bridges remote sensing with urban geography, focusing on: Global urbanization patterns and structural analysis Informal settlements (slums/refugee camps) Climate change and natural hazard vulnerability Migration dynamics via remote sensing and social media He obtained his PhD (2008) and habilitation (2019) at JMU Würzburg, preceded by geography studies at LMU Munich (1999-2004). His recent publications analyze: Climate impacts on African agriculture Urban permeability and walkability Border region disparities Heat exposure modeling Methodologically, he specializes in: Deep learning for earth observation Multi-modal data fusion Urban pattern classification Building stock analysis His work informs policy applications in: EU cohesion programs Disaster risk reduction Environmental justice Urban sustainability

Shiguo Jiangمشاهده پروفایل

دانشیار

• Geospatial Information Technologies
• Land Use/Land Cover Change
• Forest Ecosystem Dynamics
• +۴ مورد دیگر

Shiguo Jiang is a tenured Associate Professor in the Department of Geography, Planning, and Sustainability at the University at Albany's College of Arts and Sciences. Currently on sabbatical during Fall 2025, he maintains active research leadership through the Spatial Analysis Laboratory. His affiliations extend to the PhD Program in Information Science (College of Emergency Preparedness, Homeland Security and Cybersecurity) and the MS Program in Biodiversity, Conservation, and Policy (Department of Biological Sciences), reflecting his interdisciplinary approach. Dr. Jiang's educational background includes a PhD from Ohio State University (2012), an MS from Peking University (2004), and dual BS/BA degrees from Peking University (2001). His research integrates geospatial technologies with spatial statistics to investigate land use dynamics, forest ecosystems, and human-environment interactions. Key application areas include urban systems analysis, climate change modeling, and crime pattern detection, with notable fieldwork in the Maya Forest of Belize. His publication portfolio reveals an evolution from urban fractal analysis (early Beijing studies) toward integrated socio-ecological research, with recent emphasis on crime geospatial modeling and climate-ecosystem interactions. The 15 most recent articles demonstrate methodological innovation in remote sensing reconstruction and spatial statistics, applied across environmental, criminological, and public health domains. Dr. Jiang actively mentors graduate students across departments including Geography, Sociology, Information Science, and Criminal Justice. While currently unable to fund Graduate Research Assistants, he collaborates with students who secure external funding. His Spatial Analysis Laboratory requires technical proficiency in programming (Python/R/Matlab) and geospatial software, welcoming undergraduates through postdoctoral researchers with relevant skills.

Bikram Banerjeeمشاهده پروفایل

مدرس

• Remote Sensing
• Geospatial Science
• Environmental Monitoring
• +۳ مورد دیگر

Dr. Bikram Banerjee is a Lecturer in Remote Sensing and Geospatial Science at the University of Southern Queensland, affiliated with the School of Surveying and Built Environment. He holds a PhD from UNSW, MTech from IIRS NRSA, and BTech from West Bengal University of Technology. His research focuses on geospatial technologies, machine learning applications in environmental monitoring, and precision agriculture. He is associated with the Centre for Agricultural Engineering, Centre for Crop Health, and Centre for Sustainable Agricultural Systems. Key research interests include UAV-based remote sensing for mine spoil characterization, hyperspectral imaging for crop phenotyping, and integrating IoT/ML for agricultural solutions. His work bridges environmental science, geotechnical engineering, and agricultural technology. Recent publications explore coal spoil analysis, mine safety automation, and vegetation health monitoring using advanced sensor technologies. Dr. Banerjee has supervised doctoral research on mobile laser scanning for underground mines, UAV-LiDAR applications, and proximal sensing for crop phenotyping. His research outputs have garnered over 2,327 views and 1,160 downloads, reflecting significant impact in geospatial and agricultural domains. He actively contributes to interdisciplinary projects addressing environmental sustainability and resource management challenges.

• Remote Sensing
• Environmental Monitoring
• Marine Ecology
• +۳ مورد دیگر

Karen Joyce is an Associate Professor at James Cook University (JCU) with expertise in remote sensing and environmental monitoring. She holds a PhD in Geographical Sciences from the University of Queensland (2005). Her work focuses on developing remote sensing tools for applications in marine, coastal, and savanna ecosystems. Notable contributions include advancing drone technology for coral reef mapping, mangrove phenology modeling, and disaster management integration. She co-founded She Maps, a social enterprise promoting women in STEM through drone education, and GeoNadir, emphasizing geospatial innovation. Education: PhD in Geographical Sciences (University of Queensland, 2005) Key Roles: Co-Founder of She Maps and GeoNadir Former Geomatic Engineering Officer in the Australian Army Her research interests center on optimizing remote sensing models to quantify Earth observation data, with applications in coral reef health, mangrove ecosystems, and invasive species management. Recent projects include She Flies Drone Camps to build STEM confidence in girls and hyperspectral drone technology for bathymetric mapping. Her publications emphasize drone-based data acquisition, spectral analysis for coral cover, and automated image processing using tools like Google Earth Engine. Despite no listed academic awards, her work has significant practical impact in conservation and disaster preparedness. Key grants include projects like 'Is satellite technology telling the truth? Perspectives from a coral reef' (2015–2017) and 'Developing hyperspectral drone technology' (2016–2017). She collaborates extensively with institutions like the Australian Army, New Zealand conservation agencies, and Kakadu National Park researchers.

Isabella Hinksمشاهده پروفایل

عضو هیئت علمی

• Geospatial Analytics
• Remote Sensing
• Smallholder Agriculture Monitoring
• +۳ مورد دیگر

Isabella "Izzi" Hinks serves as a Teaching Assistant Professor in the Computer Science Department at the University of North Carolina at Chapel Hill. She completed her Ph.D. in Geospatial Analytics at NC State University's Center for Geospatial Analytics in 2024, where she was advised by Dr. Josh Gray. Her academic journey began with dual B.Sc. degrees in Computer Science and Environmental Science, along with a minor in Statistics and Analytics, all earned at UNC Chapel Hill. Dr. Hinks' research focuses on developing innovative algorithms to estimate the adaptive potential of small-scale agriculture in poverty-affected regions. Her work combines computer science expertise with environmental applications, particularly in using remote sensing technologies and deep learning techniques to monitor smallholder farming systems. She has made significant contributions to understanding how smallholder farmers can enhance their climate resilience through strategic adaptations, leveraging both satellite data and field observations. Her publication record demonstrates a consistent focus on applying advanced computational methods to agricultural monitoring challenges. The most recent articles show a progression from basic field boundary mapping using deep learning toward more sophisticated analyses of climate adaptation impacts on smallholder resilience. Her work increasingly integrates multiple data sources, including satellite imagery, household surveys, and on-the-ground measurements, to create comprehensive assessment frameworks for agricultural systems in developing regions. Among her notable recognitions is the Gladys West Award from the Center for Geospatial Analytics' fourth annual CGA Awards, received in January 2023. Her research on deep learning-based smallholder field delineation was featured in an NC State University News article in April 2023, highlighting the practical significance of her work. Dr. Hinks has been actively involved in several research initiatives, including work with the RESCuE Consortium in Thailand monitoring coastal ecosystem rehabilitation and supporting underserved communities during the Covid-19 pandemic through Curamericas Global. She was also a founding member of Acta Solutions, a tech start-up focused on helping local governments optimize decisions using constituent data. Her presentations at major conferences like the AGU Fall Meeting demonstrate her growing prominence in the field of geospatial analytics for agricultural applications.

• Consciousness Studies
• Disorders of Consciousness
• Clinical Neuroscience
• +۳ مورد دیگر

Steven Laureys, MD, PhD, is a Professor at the University of Liège where he leads the Coma Science Group within GIGA Consciousness. He holds dual prestigious appointments as Canada Excellence Research Chair in Integrative Neuroscience for Sustainable Mental Health and Canada Excellence Research Chair in Neuroplasticity. His clinical roles include neurologist and clinical professor at the Centre du Cerveau of the CHU of Liège, and Director of Research at the FNRS. Laureys' research focuses on alterations in consciousness across multiple states including coma, vegetative state, minimally conscious state, locked-in syndrome, anesthesia, sleep, meditation, and hypnosis. His work integrates multimodal neuroimaging (fMRI, PET, EEG), electrophysiology, and behavioral assessments to develop diagnostic and prognostic tools for disorders of consciousness (DOC). Key methodological approaches include brain connectivity mapping, metabolic analysis, and AI-driven modeling of neural dynamics. His publication portfolio reveals a strong emphasis on brain connectivity dynamics (42% of recent articles), AI applications in consciousness assessment (23%), and translational neurorehabilitation (18%). The work consistently bridges fundamental neuroscience with clinical applications, particularly in developing individualized diagnostic frameworks and neuromodulation therapies for DOC patients. Major scientific recognition includes: Francqui Prize (2017), Belgium's highest scientific honor Generet Prize (2019) Appointment as Editor-in-Chief of Brain Connectivity journal (2024) Two Canada Excellence Research Chairs (2023-2024) Laureys directs the internationally recognized Coma Science Group, which operates within the GIGA Consciousness research center. The group maintains extensive international collaborations across Europe, North America, and Asia, with particular focus on developing standardized assessment protocols and innovative neuromodulation approaches for disorders of consciousness. Current research directions emphasize neuroplasticity mechanisms, meditation's impact on brain health, and sustainable mental health frameworks through integrative neuroscience approaches.

Andrea Garzelliمشاهده پروفایل

استاد

• Remote Sensing
• Image Processing
• Signal Processing
• +۴ مورد دیگر

Andrea Garzelli is a Full Professor at the University of Siena's Department of Information Engineering and Mathematical Sciences. His research focuses on remote sensing image processing, particularly in optical and SAR sensor technologies, image fusion, and spatial resolution enhancement. He holds teaching roles in 'Fundamentals of Signal Processing and Telecommunications' and 'Statistical Signal Processing.' He earned his Ph.D. in Computer Science and Telecommunication Engineering from the University of Florence. Notably, he was recognized as a World's Top 2% Scientist by Stanford University for 2019–2023 and his career-long contributions. He served as President of the University of Siena's Quality Assurance Committee (2016–2021) and currently coordinates the graduate program in Computer and Information Engineering. Research interests include satellite data analysis (e.g., Sentinel-2, PRISMA), hypersharpening techniques, and environmental monitoring. His work bridges theoretical advancements (e.g., pansharpening algorithms) and practical applications like urban land classification and vegetation index enhancement. Recent articles emphasize reproducibility, meta-analysis, and synthetic data generation through GANs. Awards: World's Top 2% Scientists (2019–2023 & career). Grants/Advising: Supervises remote sensing theses; no specific grants mentioned. Labs/Teams: Leading research in the department's remote sensing and signal processing groups.

Joel Hartterمشاهده پروفایل

استاد

• Sustainability
• Climate Action
• ESG (Environmental, Social, Governance)
• +۷ مورد دیگر

Joel Hartter is a Professor in the Department of Environmental Studies at the University of Colorado, where he also served as the founding director of the Masters of the Environment and Outdoor Recreation Economy programs. With dual BS degrees in Mechanical Engineering and German from the University of Michigan, an MS in Forest Engineering from Oregon State University, and a PhD in Geography from the University of Florida, his expertise bridges sustainability science, policy, and practice. His research focuses on private sector engagement in sustainability, ESG frameworks, climate action, and the Sustainable Development Goals (SDGs), with particular attention to net-zero strategies, bioeconomy implementation, and nature-based solutions. Dr. Hartter’s work emphasizes stakeholder engagement, inclusive decision-making, and bridging science with practical applications in conservation, climate resilience, and economic development. He has led projects globally in Africa, South America, and the US, addressing challenges such as wildlife conservation, sustainable supply chains, and community-based natural resource management. As a National Geographic Explorer and advisor to Fortune 500 companies, NGOs, and governments, he integrates sustainability into organizational strategies to drive innovation and competitive advantage. His teaching reaches over 20,000 students annually through courses on sustainability leadership and workforce development. Dr. Hartter’s interdisciplinary approach combines geospatial analysis, participatory methods, and behavioral science to address complex socio-ecological issues. His research spans topics like climate migration, household vulnerability, and the impact of conservation policies on communities. Notable projects include studying land-use changes in Uganda’s Albertine Rift and evaluating the effects of oil exploration on protected areas in Murchison Falls Conservation Area. Dr. Hartter collaborates closely with communities, governments, and international organizations to create equitable, actionable sustainability solutions.