جست‌وجوی استاد و پژوهشگر

• Terrestrial Ecosystem Science
• Remote Sensing
• Spatial Ecology
• +۳ مورد دیگر

Dr Andy Cunliffe is an Oppenheimer Associate Professor of Geography at the University of Exeter, leading the TESS Lab research group and directing the OPALS program. His work focuses on applied terrestrial ecosystem science, combining geospatial tools, remote sensing, and systems thinking to address sustainability challenges in social-ecological systems. He emphasizes interdisciplinary collaboration with non-academic partners and champions Open Research practices. Education: PhD in Physical Geography from the University of Exeter (2012–2016). Previous roles include Post-Doctoral Research Assistant at the University of Edinburgh (2016–2017) and Research Fellow at the University of Exeter (2018–2024). Research Interests: Spatial ecology, climate change adaptation, geospatial data science, and sustainable land management. Current projects include drone-based monitoring of Arctic tundra and African rangelands, carbon dynamics in drylands, and policy-relevant studies on regenerative agriculture adoption. Program Leadership: Directs the Oppenheimer Research Programme in African Landscape Systems (OPALS) , a six-year initiative promoting equitable environmental sustainability in Africa. Coordinates the TESS Lab, fostering trainee development through inclusive mentorship. Grant Activity: Secured funding through interdisciplinary partnerships, focusing on applied research that bridges academic expertise and real-world impact. Active in securing grants for drone technology, climate resilience, and ecosystem services. Labs/Teams: TESS Lab (specializing in ecosystem resilience) and OPALS collaborative network. Engages with global partners via the Global Systems Institute and Environmental Intelligence initiatives.

• Tree ecophysiology
• Forest ecology
• Tree water dynamics
• +۶ مورد دیگر

Anna Lintunen is an Associate Professor at the University of Helsinki, affiliated with the Institute for Atmospheric and Earth System Research (INAR) and Viikki Plant Science Centre (ViPS). She holds roles in the Ecosystem processes (INAR Faculty of Agriculture and Forestry) and Forest Ecology and Management departments. Her research focuses on climate-ecosystem interactions, tree ecophysiology, and boreal forest dynamics. She leads the Ecosystems and Climate Change research group and contributes to the Atmosphere and Climate Competence Center (ACCC) flagship. Her work examines tree structure/function responses to environmental changes, including drought tolerance, xylem freezing, and carbon allocation. She supervises doctoral programs in Sustainable Use of Renewable Natural Resources and Atmospheric Sciences. Notable projects include ROBAST (bark's role in drought survival) and Climate Positive Agriculture . She has authored 95+ publications and secured funding from the Academy of Finland and Business Finland. Lintunen is active in conferences, media outreach (e.g., TV documentaries), and policy guidance like the KuntaNielu municipal climate compensation project. Her lab's work spans machine learning applications in ecosystem modeling and long-term field experiments on forest management impacts.

• Ecohydrology
• Hydrometeorology
• Climatology
• +۶ مورد دیگر

Dr. Richard Petrone is a Professor at the University of Waterloo specializing in ecohydrology, climatology, and land reclamation. His work examines soil-vegetation-atmosphere interactions in high-latitude ecosystems and agricultural regions, with a focus on climate change impacts and post-disturbance restoration strategies.

Owen Jonesمشاهده پروفایل

استاد

• Operational Research
• Stochastic Modeling
• Environmental Science
• +۷ مورد دیگر

Professor Owen Jones is a Chair in Operational Research at the School of Mathematics, Cardiff University. His work focuses on applying mathematical modeling and optimization techniques to address challenges in environment, energy, and sustainability, including renewable energy systems, water management, and disaster risk quantification. Operational Research Stochastic Modeling Environmental Data Analysis Renewable Energy Optimization His research spans environmental science, hydrology, and computational methods, with recent work leveraging approximate Bayesian computation (ABC) and generative adversarial networks (GANs) to model climate impacts, water systems, and biological dynamics. Articles highlight innovations in wastewater surveillance, bat roost detection, and tidal energy optimization. Professor Jones supervises advanced students in areas like spatio-temporal modeling, emergency response simulation, and multifractal processes. He has secured grants for interdisciplinary projects, including UKRO-funded freshwater solutions, GCRF wastewater monitoring, and EU Horizon2020 climate adaptation initiatives. He is part of the Operational Research group at Cardiff University and has collaborated with institutions such as the Australian Department of Agriculture, Fisheries and Forestry, and the EU Horizon2020 program.

Erin Hestirمشاهده پروفایل

استاد

• Water Security
• Biodiversity
• Ecosystem Services
• +۳ مورد دیگر

Dr. Erin Hestir is a Professor in the Civil & Environmental Engineering department at the University of California, Merced. Her research focuses on water security and food production, biodiversity monitoring, and ecosystem services analysis through advanced geospatial technologies. Academic Affiliation: School of Engineering, UC Merced Research Expertise: Hyperspectral & Satellite Remote Sensing, Sensor Networks in Aquatic Systems Key Techniques: Geospatial Analytics, Environmental Modeling, Field Campaigns Her work spans inland and coastal watersheds, emphasizing climate resilience and sustainable resource management. Recent publications highlight: Wildfire impacts on aquatic ecosystems Multi-sensor biodiversity mapping Cyanotoxin risk assessment via satellite Machine learning applications in environmental sensing Community-inclusive research methodologies

• Forest Ecology
• Ecological Modeling
• Machine Learning
• +۲ مورد دیگر

Dr. Yannek Kaeber is an Academic Councillor and researcher at the Department of Biometry and Environmental System Analysis, University of Freiburg, where he also earned his MSc and BSc degrees. He completed his PhD in Forest Ecology at ETH Zurich. His current research is conducted within the WILDCARD EU-Horizon Project at the Forest Research Institute BW/FVA-BW. Position: Academic Councillor, University of Freiburg Postdoctoral Researcher, WILDCARD EU-Horizon Project Department: Biometry and Environmental System Analysis University: University of Freiburg PhD: ETH Zurich, Forest Ecology Education: PhD in Forest Ecology, ETH Zurich (2019–2023) MSc in Forest Sciences, University of Freiburg (2016–2019) BSc in Forestry and Environment, University of Freiburg (2013–2016) Research Interests: Yannek Kaeber's work focuses on Forest Ecology , integrating Ecological Modeling and Machine Learning techniques to analyze and predict environmental systems. His expertise lies in applying quantitative methods to ecological data, particularly in forest ecosystems. He has contributed to strategic academic initiatives, including coordinating the proposal phase for the Future Forests cluster of excellence at the University of Freiburg. Publication Trends: While specific publications are not listed in the text, his research profile suggests a strong focus on computational ecology, with interdisciplinary work combining biometrics, environmental modeling, and data science in the context of forest conservation and management. Scientific Awards: No awards listed in the provided text. Advising and Grants: There is no explicit mention of students advised or grants led. However, his role as a postdoctoral researcher in an EU-Horizon project indicates active participation in competitive, funded research. His coordination of a cluster of excellence proposal highlights leadership in academic research strategy and grant development. Labs and Teams: Dr. Kaeber is affiliated with the Department of Biometry and Environmental System Analysis at the University of Freiburg, led by Prof. Dr. Carsten Dormann. He is part of the WILDCARD EU-Horizon Project team, a collaborative research initiative involving the Forest Research Institute BW/FVA-BW, focusing on wildland management and ecological resilience.

Wenyuan Maمشاهده پروفایل

پژوهشگر

• Wildfire Management
• Atmospheric Science
• Machine Learning in Environmental Research
• +۳ مورد دیگر

Dr. Wenyuan Ma is a researcher at the University of New South Wales (UNSW) Canberra campus, specializing in pyro-cumulonimbus (pyroCb) bushfire dynamics and wildfire management. Their work focuses on understanding the geographical patterns of pyroCb occurrences and developing predictive models to guide future fire management strategies in Australia and beyond. Research interests include: Quantifying drivers of pyroCb development Climate change impacts on wildfire risks Machine learning applications for environmental data International collaboration on atmospheric fire phenomena Their work integrates geographical information systems (GIS), atmospheric science, and machine learning to analyze fire-environment interactions. They are affiliated with UNSW's research infrastructure and collaborate with interdisciplinary teams to address climate resilience challenges.

Parth Bhattمشاهده پروفایل

استاد آموزشی

• Remote Sensing
• Geographic Information Systems
• Machine Learning
• +۶ مورد دیگر

Parth Bhatt serves as an Assistant Teaching Professor and Researcher at Michigan Technological University, concurrently directing the MGIS Online Program. His institutional affiliations include membership in the Ecosystem Science Center and MichiganView, alongside advisory roles for the Indian Students Association. His academic credentials feature: PhD in Forest Science, Michigan Technological University Graduate Certificate in Geoinformatics, Michigan Technological University MS in Geographical Information Science, Michigan Technological University MS in Environmental Science, The Maharaja Sayajirao University of Baroda Dr. Bhatt's research centers on advanced remote sensing and GIS applications, with emphasis on: Machine learning for ecological community classification 3D structural diversity modeling in forest ecosystems UAV-based monitoring of forest health and invasive species Digital image processing for dense vegetation analysis Natural habitat mapping using multispectral and hyperspectral data His publication record demonstrates consistent innovation in fine-scale ecological mapping, particularly through UAV-NAIP data fusion and machine learning approaches for forest and wetland conservation. Recent work shows increasing sophistication in 3D spectral modeling and reproducible research practices. Scientific Awards: No scientific awards documented in available sources Dr. Bhatt's grant portfolio includes: Keweenaw Inventory Project (2023-24), The Nature Conservancy Keweenaw Inventory Project Phase II (2024), The Nature Conservancy He actively contributes to the Ecosystem Science Center's mission through geospatial research and teaches specialized courses including Foundations in Geographic Information Science for Natural Resources and Python for Modern GIS and Remote Sensing via Michigan Tech Global Campus.

• Simulation-Based Optimization
• Industry 4.0
• Production Engineering
• +۴ مورد دیگر

Amos H. C. Ng is a Professor at the School of Engineering Science, University of Skövde, specializing in simulation-based optimization and Industry 4.0 technologies. His research bridges production engineering with human-robot collaboration, ergonomics evaluation, and cloud-based cyber-physical systems for manufacturing efficiency. Key Affiliations: University of Skövde (School of Engineering Science), Uppsala University (Industrial Engineering and Management) Research Themes: Multi-objective optimization, Digital Twin frameworks, Human-centric production systems, Reconfigurable manufacturing, Throughput bottleneck analysis Projects: ACCURATE 4.0 (Knowledge Foundation), VF-KDO (Virtual Factories with Knowledge-Driven Optimization), EWASS (Wire Harness Assembly Optimization) His recent publications demonstrate expertise in applying evolutionary algorithms, machine learning models, and digital human modeling tools to solve complex manufacturing problems ranging from crankshaft machining to wood supply chain robustness. Current work integrates motion capture technology with DHM tools for objective ergonomic assessments in assembly stations. Amos collaborates extensively with industrial partners like Volvo Penta and academic institutions, utilizing simulation-based approaches to enhance decision-making in production systems. His methodological focus includes non-dominated sorting genetic algorithms, surrogate modeling, and parallel computing architectures for optimization tasks.

Michael Helmut Boyمشاهده پروفایل

استاد

• Atmospheric Science
• Computational Theory and Mathematics
• Atmospheric Chemistry
• +۵ مورد دیگر

Michael Helmut Boy is a tenured Professor at the University of Helsinki, affiliated with the Institute for Atmospheric and Earth System Research. His work spans atmospheric chemistry, aerosol dynamics, and climate modeling, with a focus on biogenic volatile organic compounds and their role in nanoparticle formation. University of Helsinki (2022–present): Professor University of Helsinki (2009–2022): University Researcher Ludwig-Maximilians-Universität München (1998–present): Master in Meteorology His research integrates computational models with field measurements to understand atmospheric processes in boreal forests and urban environments. Key themes include: Secondary organic aerosol formation Climate feedback mechanisms OH and NO3 reactivity Forest-atmosphere interactions Urban pollution dynamics Recent publications highlight neural network emulators for atmospheric chemistry and studies on highly oxygenated molecules in boreal climates. Scientific awards include Academy Research Fellow at the Academy of Finland.

Jack Wangمشاهده پروفایل

دانشیار

• Forest Biotechnology
• Molecular Genetics
• Genome Editing
• +۵ مورد دیگر

Jack Wang is an Associate Professor and Director of the Forest Biotechnology Group at North Carolina State University's College of Natural Resources, Department of Forestry and Environmental Resources. His research focuses on molecular genetics and genome editing of forest trees, leveraging multi-omics integration and machine learning to enhance tree growth, adaptation, and lignin properties for biofuels and biomaterials. He is also Co-Founder and CSO of TreeCo Inc. and contributes to the Forest Restoration Alliance as an SAB member. Education: PhD (2012) and BS (2006) from NC State University and University of Waikato, respectively Jack's research spans forest biotechnology , CRISPR-based genome editing , and lignin biosynthesis in model trees like Populus trichocarpa . His work addresses genetic regulation of wood formation, drought tolerance, and biomass conversion for sustainable energy. Recent publications highlight advancements in CRISPR delivery systems for conifers, lignocellulosic feedstock optimization , and metabolic flux modeling of lignin pathways. Selected Trends: Jack's articles emphasize CRISPR applications in woody plants, epigenetic regulation of xylem development, and thermophilic microbial conversion of biomass. Sub-fields include protein complex interactions, transcriptional networks, and lignin engineering for bioeconomy. Scientific Awards: NC State Entrepreneur of the Year Award IUFRO Excellence in Forest Molecular Biology and Genomics Goodnight Early Career Innovator Award NC State University Faculty Scholar Chancellor Innovation Fund recipient Grants & Collaborations: Jack's work involves partnerships with the Genetic Engineering and Society Center, NC Plant Sciences Initiative, and TreeCo Inc. His research integrates computational modeling with experimental validation to advance sustainable forestry.

• Fire Ecology
• Climate Change
• Ecosystem Dynamics
• +۵ مورد دیگر

Jennifer Balch is an Associate Professor of Geography at the University of Colorado Boulder and Director of the Environmental Data Science Innovation & Inclusion Lab (ESIIL) at the Cooperative Institute for Research in Environmental Sciences (CIRES). Her research focuses on global fire regimes, climate change impacts, and interactions between human activities and ecosystem dynamics. She actively contributes to environmental data science education through programs like the Earth Data Science Corps. Research Interests Dr. Balch investigates: Fire's role in the Earth system Fire-climate feedback loops Invasive grass-fire cycle dynamics Anthropogenic fire regime shifts Carbon cycle disruptions Wildfire risk to human settlements Recent Publication Trends Her 2022-2025 publications emphasize: Accelerated wildfire growth rates linked to climate change Indigenous data governance in environmental science Machine learning for fire prediction and vegetation mapping Sentinel satellite applications in forest monitoring Human-driven fire expansion in wildland-urban interfaces Climate-driven fire behavior modeling Scientific Recognition 2022: Clarivate Highly Cited Researcher Collaborative Efforts Dr. Balch leads: ESIIL - a national environmental data science center Earth Lab at CIRES Interdisciplinary teams developing fire growth algorithms She advocates for climate-adapted building codes and has been featured in major media outlets discussing wildfire risk management.

Peter Österholmمشاهده پروفایل

استاد

• Acid Sulfate Soils
• Environmental Geology
• Geochemistry
• +۴ مورد دیگر

Professor Peter Österholm at Åbo Akademi University's Faculty of Natural Sciences and Engineering specializes in Environmental Geology with a focus on Acid Sulfate Soils . His work addresses critical environmental challenges through interdisciplinary approaches. 2023-2025 : Active principal researcher in two major projects, including EU BIONEER for post-mining waste management Research Themes : Geochemical remediation, microbial interactions, water quality impacts Recent publications highlight: 2025: Microbial responses to limestone/peat treatments in hypermonosulfidic sediments 2024: Machine learning applications for acid sulfate soil mapping 2023: Innovative macropore targeting to reduce acid-metal release Collaborations include European Regional Development Fund , Kiertokaari , and Finnish Transport Agency . He organized the 2024 GeoDays conference and serves as co-investigator in multiple international projects.

• Agricultural Engineering
• Precision Agriculture
• Soil Mechanics
• +۳ مورد دیگر

Davut KARAYEL is a Professor at Akdeniz University, Faculty of Agriculture, Department of Agricultural Machinery and Technologies Engineering. He also holds a remote Chief Researcher position at Vytautas Magnus University, Lithuania. Education: BSc in Agricultural Engineering (Cukurova University, 1995), MSc and PhD in Agricultural Engineering (Akdeniz University, 2005) Editorial Roles: Associate Editor of Journal of Computers and Electronics in Agriculture , Editorial Board Member of Turkish Journal of Agriculture and Forestry Metrics: 169 WoS publications, 408 h-index (WoS), 1012 h-index (Scopus), 1961 h-index (Scholar) His research focuses on Agricultural Engineering , particularly technological processes of sowing and crop care machines and environmental impact assessment of agricultural operations . Key areas include soil-machine interaction , precision seeding systems , biomass processing , and sustainable agricultural technologies . The 15 most recent articles highlight advancements in pelletization (bioenergy from crop residues), AI-optimized planting systems , soil crust mitigation , and sensor-based precision agriculture . These works bridge mechanical engineering and agroecology , addressing challenges in resource efficiency and environmental sustainability . He has supervised 3 theses and authored 2 international book chapters. With over 100 WoS-indexed publications and 27 Scopus publications, his work emphasizes machine design , combustion properties , and agricultural mechanization .

• Mining Engineering
• Rock Mechanics
• Environmental Impact Assessment
• +۳ مورد دیگر

Fernando María Garcia Bastante is a Full Professor at the University of Vigo, affiliated with the College of Mining Engineering and Department of Natural Resources and Environmental Engineering. His research focuses on mining engineering, rock mechanics, environmental impact assessment, and slope stability analysis. He has developed empirical models for blasting operations and collaborated on sustainable mineral resource management projects. His recent publications highlight advancements in granite strength analysis, blast-induced damage prediction, and AI applications for mining safety. These works span disciplines such as mining technology, computational modeling, and geospatial analysis. Specific subfields include detonation physics, rock fracture mechanics, and environmental compatibility of mining operations. Professor Garcia Bastante has contributed to quarry safety design, slope stability, and resource evaluation using statistical methods. He leads the GESSMin research group on Safe and Sustainable Management of Mineral Resources and has been involved with the Center for Industrial Process, Energy, and Technology Research (CIETI) at the Vigo campus.