جست‌وجوی استاد و پژوهشگر

Santiago Martín Bravoمشاهده پروفایل

دانشیار

• Systematics
• Evolutionary Biology
• Botany
• +۴ مورد دیگر

Santiago Martín Bravo is an Associate Professor and researcher at the Department of Molecular Biology and Biochemical Engineering, Pablo de Olavide University (Seville, Spain). His work focuses on plant systematics, evolution, and biogeography, particularly within the Cyperaceae family (sedges). Research Themes: Angiosperm systematics, molecular phylogenetics, chromosome evolution, biogeographic analysis, and conservation taxonomy Recent Collaborations: Studies on Carex diversification in Chile, biogeographic patterns of Mediterranean plants, and global nomenclatural stability initiatives Notable Contributions: 15+ recent articles on chromosomal microevolution, ecological speciation in sedges, and integrative taxonomic approaches combining DNA barcoding with traditional methods. His 2024 collective appeal highlights the importance of stable biological nomenclature. Network: Collaborates with institutions in Spain, Chile, Ecuador, and New Zealand. Supervises doctoral research in the Biodiversidad y Biología de la Conservación program.

Rick Bunchمشاهده پروفایل

استاد

• Geographic Information Science (GIS)
• Environmental Sustainability
• Habitat Suitability Modeling
• +۳ مورد دیگر

Rick Bunch serves as a Professor in the Department of Geography, Environment, and Sustainability at the University of North Carolina at Greensboro (UNCG), where he teaches introductory through advanced Geographic Information Systems (GIS) courses. His research integrates geospatial technologies with environmental conservation and disaster management applications. His educational credentials include: Ph.D. in Geography, University of South Carolina (2000) M.S. in Geography, University of South Carolina (1998) B.S. in Geography, Ohio State University (1996) Bunch specializes in Geographic Information Science (GIScience), with research emphasizing habitat suitability modeling for species like Wild American Ginseng and Monarch Butterflies. His work bridges conservation biology, spatial analysis, and disaster response informatics, particularly through social media data mining during hurricanes. He has developed multidisciplinary frameworks for geospatial technologies in educational contexts and natural resource management. Analysis of his 2018-2024 publications reveals consistent methodological innovation in capability analysis, migratory pattern modeling, and disaster informatics. His research demonstrates strong interdisciplinary connections between geography, ecology, and computational sciences, with increasing focus on climate resilience and species conservation. Scientific recognition includes: No formal awards documented in source materials Professor Bunch maintains active research collaborations across ecology, natural products chemistry, and disaster management fields. While student advising details are not specified, his co-authored publications indicate mentorship roles in graduate-level research. Current projects involve habitat suitability testing and social media analytics for emergency response. No dedicated laboratories or formal research teams are referenced, though his publications reflect sustained partnerships with environmental scientists, chemists, and disaster response specialists across multiple institutions.

• Anomaly Detection
• Topic Modeling
• Human-Computer Interaction
• +۳ مورد دیگر

Tove Helldin is a Senior Lecturer at the School of Informatics, University of Skövde, Sweden. Her research focuses on anomaly detection , topic modeling , and human-computer interaction , particularly in telecommunications networks and decision support systems . She has led projects in AI for climate adaptation and future sepsis diagnostics , emphasizing team effectiveness and trust calibration in automated systems. PhD in Computer Science (2014), University of Skövde Licentiate in Computer Science (2012) MSc in Computer Science (2009) Her scientific work spans interactive machine learning , visualization of causal relationships , and transparency in military threat evaluation . She has contributed to automotive UI design and fighter aircraft automation , with publications in venues like ACM Computing Surveys and IEEE conferences. Notably, her work explores topic modeling applications in network monitoring and interpretable AI frameworks.

Michael Crimminsمشاهده پروفایل

استاد

• Climate Science
• Drought Monitoring
• Wildfire Risk Assessment
• +۲ مورد دیگر

Michael Crimmins is a Professor and Climate Science Extension Specialist at the Department of Environmental Science, University of Arizona. He bridges climate science with practical applications for resource managers in Arizona, focusing on drought preparedness, wildfire risk, and water resource management. His work spans rangelands, forests, and policy domains. His research interests include climate change impacts , drought monitoring , and wildfire risk assessment , with a focus on developing metrics like 'Burn Period' for fire risk tracking and integrating citizen science data for regional climate services. He emphasizes socio-ecological resilience and practical tools for ranchers and policymakers. His recent publications highlight trends in fire-climate dynamics monsoon flood risk data systems rancher drought adaptation soil moisture drought controls climate gamification for public engagement transdisciplinary wildfire decision support . These works reflect his commitment to applied climate science. As an extension specialist, he collaborates with Arizona Cooperative Extension, contributes to drought policy via the Arizona Governor’s Drought Task Force, and develops educational resources like climate summaries and participatory monitoring frameworks.

Joachim Rathmannمشاهده پروفایل

استاد مدعو

• Cultural Ecosystem Services
• Human-Environment Relationships
• Philosophy of Nature
• +۶ مورد دیگر

Joachim Rathmann is Adjunct Professor at Memorial University (Newfoundland, Canada) and Privatdozent at the University of Augsburg. He works at the Institute of Geography and Geology , Julius-Maximilians-Universität Würzburg, focusing on therapeutic landscapes , cultural ecosystem services , and environmental ethics . Current Projects : Leading DFG-funded research on urban forest health impacts (2022-2025), contributing to Environmental-Economic Landscape Assessment and Co-Environmental Virtue Ethics . Research Strengths : Integrates philosophy of nature with environmental psychology , exploring how deadwood perception and forest structures affect human well-being. Recent publications analyze 15 articles (2017-2024) covering climate change mitigation , AI in environmental protection , and therapeutic landscapes . The work combines empirical methods (GIS, physiological sensing) with theoretical frameworks (Heideggerian ethics, affordance theory). Key Collaborations : With Prof. Uwe Voigt (Philosophy), Prof. Elisabeth André (Human-Centered AI), and Dr. Christoph Beck (Climate Research). International Engagement : Participates in conferences across Canada , USA , France , and Belgium , fostering cross-disciplinary dialogue on anthropocene ethics .

Hone-Jay Chuمشاهده پروفایل

استاد

• Groundwater
• Land cover and land use change
• Spatial Data
• +۶ مورد دیگر

Professor Hone-Jay Chu is a faculty member at the Department of Geomatics, National Cheng Kung University, where he has been employed since 2011. He earned his PhD from National Chiao Tung University in 2008, focusing on artificial intelligence and optimization for water resource management, followed by postdoctoral work (2008–2011) with Professor YP Lin on spatial environmental monitoring and land use change models. Education : PhD in Environmental Engineering (2008) from National Chiao Tung University His research integrates geospatial technologies with machine learning to address complex environmental challenges. Key domains include groundwater dynamics , land use/cover change , landslide detection , and air pollution analysis , leveraging big data , remote sensing , and environmental resilience frameworks. Recent publications highlight applications of deep learning (e.g., LSTM networks) and random forest models in predicting meteorological droughts, groundwater changes, and climate impacts. The work spans interdisciplinary collaboration, with co-authors from institutions in Bangladesh, Austria, and Turkey.

Scott Hoskingمشاهده پروفایل

عضو هیئت علمی

• AI for Environmental Science
• Climate Change
• Machine Learning Applications in Meteorology
• +۷ مورد دیگر

Scott Hosking is a Senior Research Fellow at British Antarctic Survey (BAS) and The Alan Turing Institute , serving as Mission Director for Environmental Forecasting and Head of the BAS AI Lab. His work bridges AI innovation with critical climate science challenges, particularly in data-sparse polar regions. PhD in Climate Science from University of Cambridge (2005-2009) Established BAS AI Lab (2018) Co-Director of AI4ER Doctoral Training Programme (2019-2023) Research focuses on: AI-powered environmental forecasting systems Digital twin technologies for planetary monitoring Machine learning in climate modeling Sea ice and wildlife population tracking Reproducibility in geoscientific research Recent publications span weather prediction , precipitation downscaling , and extreme event analysis , with articles appearing in Nature , Nature Communications , and Geophysical Research Letters . Key projects include IceNet (Arctic sea ice forecasting) and Aardvark Weather (end-to-end AI weather prediction). Scientific recognition includes: The Laws Prize (BAS, 2017) Designation as AI for Good Exemplar (UK government, 2023) Inclusion in Nature Communications 25 most downloaded Earth science papers (2021) Secured over £25M in research funding as Principal Investigator, including projects with NERC , EPSRC , and ESA . Collaborates with institutions across Cambridge , Lund , and UiT The Arctic University .

Andrei Volodinمشاهده پروفایل

استاد

• Statistical Inference
• Limit Theorems
• Distributions on Abstract Spaces
• +۱۲ مورد دیگر

Andrei Volodin is a Professor in the Department of Mathematics and Statistics at the University of Regina, Canada. He serves as the Co-op Work/Study Coordinator and has an extensive publication record spanning probability theory, statistical inference, and applied statistics. His research focuses on limit theorems, bootstrap methods, and distributional analysis with applications to quality control and healthcare economics.

Valerie Thomasمشاهده پروفایل

استاد

• Remote Sensing
• Forest Ecology
• Geospatial Technologies
• +۳ مورد دیگر

Valerie Thomas, Ph.D., is a Professor in the Department of Forest Resources and Environmental Conservation at Virginia Tech. She holds a B.S. from the University of Guelph (1996), M.S. and Ph.D. from Queen’s University, Canada (2001, 2006). Her research focuses on remote sensing technologies (lidar, hyperspectral sensors) to study forest structure, function, and global monitoring, emphasizing big data integration and environmental challenges. She teaches courses including FREC 1004 (Digital Planet), FREC 2124 (Forests, Society & Climate), and FREC 5154 (Hyperspectral Remote Sensing). She leads the Environmental Informatics undergraduate program and advises the Interdisciplinary Remote Sensing PhD Program. Her work includes advancing computational methods for large-scale remote sensing datasets and addressing ecosystem responses to climate change. She collaborates with the Center for Environmental Applications in Remote Sensing (CEARS) and contributes to projects on nitrogen retention, forest productivity, and lidar-based canopy analysis. Research Interests: Remote sensing of forest ecosystems Lidar and hyperspectral data integration Big data analytics for environmental science Forest carbon dynamics Landsat time-series analysis Teaching & Academic Leadership: Developed the Environmental Informatics major Advises interdisciplinary remote sensing programs Innovates geospatial education at Virginia Tech Labs & Teams: Active in the Center for Environmental Applications in Remote Sensing (CEARS), contributing to projects on forest monitoring and geospatial technologies.

Fangzheng Lyuمشاهده پروفایل

استادیار

• GIS Computational and Data Science
• Urban Informatics
• CyberGIS & Geospatial Computing
• +۷ مورد دیگر

Fangzheng Lyu is an Assistant Professor in the Department of Geography at Virginia Polytechnic Institute and State University (Virginia Tech), affiliated with the College of Natural Resources and Environment. His research focuses on advancing GIScience, geospatial data science, and computational methods to address complex urban and environmental challenges using big data. He holds a Ph.D. from the University of Illinois Urbana-Champaign (2024), an M.S. from the same institution (2021), and a B.E. from the University of Hong Kong (2018). Dr. Lyu's expertise includes geospatial data science, cyberGIS, urban informatics, and geospatial AI. His work spans three core areas: (1) urban dynamics modeling using machine learning and cyberGIS, (2) scalable spatial algorithms for remote sensing and big data analysis, and (3) democratizing access to advanced geospatial cyberinfrastructure. He teaches courses such as Principles of GIS, Geospatial Data Science, and Spatial Data Science at Virginia Tech. His research has been published in leading journals like International Journal of Geographical Information Science , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , and Sustainability . Notable contributions include frameworks for urban heat island prediction, spatiotemporal image fusion models (e.g., Multi-stream STGAN), and methods for analyzing spatial accessibility during public health crises. Dr. Lyu actively contributes to interdisciplinary initiatives, including the Center for Geospatial Information Technology at Virginia Tech. His work emphasizes reproducibility and collaboration, with a focus on bridging geospatial research and education through cyberGIS platforms like CyberGIS-Jupyter. He has received funding for proposals integrating geospatial technologies with urban sensing and epidemiological modeling.

• Forest Management
• Wood Quality
• Dendrochronology
• +۳ مورد دیگر

David Auty is an Associate Professor and Executive Director in the School of Forestry at Northern Arizona University. His research focuses on wood properties, forest management practices, and innovative applications of LiDAR technology in forestry. He leads projects investigating the impact of environmental factors on tree physiology, wood quality, and forest dynamics. Notable contributions include developing the sgsR toolbox for LiDAR-based forest inventories and studying radial profiles of specific gravity in conifers. His work bridges ecological and engineering disciplines, addressing challenges in sustainable forestry and climate resilience. Collaborations include international studies on wildfire impacts, carbon modeling, and wood mechanics. David actively contributes to datasets on tree growth dynamics and has authored over 45 scholarly works, emphasizing practical solutions for forest management and conservation. Key Focus Areas: Forest Management, Wood Quality, Remote Sensing, Climate Adaptation Tools & Innovations: sgsR LiDAR Toolbox, Acoustic Wood Testing, Stand Dynamics Models Collaborations: Global networks studying boreal forests, wildfire impacts, and conifer physiology David’s research highlights the interplay between ecological processes and industrial forestry needs, with implications for bioenergy, carbon sequestration, and resilient forest systems.

Bill Tomlinsonمشاهده پروفایل

استاد

• Artificial Intelligence
• ICT for Sustainability
• Human-Computer Interaction
• +۳ مورد دیگر

Bill Tomlinson is a Professor of Informatics and Education at the University of California, Irvine (UCI), and a researcher at the California Institute for Telecommunications and Information Technology (Calit2). His work bridges artificial intelligence, ICT for sustainability, and environmental policy, focusing on leveraging technology to address global ecological challenges. He authored *Greening through IT* (MIT Press, 2010), which examines how information technology can enable sustainable practices, and has published over 100 academic works across computing, education, and sustainability. Education: A.B. in Biology (Harvard College), M.F.A. in Experimental Animation (CalArts), and S.M./Ph.D. in Media Arts & Sciences (MIT). Professional service includes roles on the EPA’s Board of Scientific Counselors (2014–2017) and as a Sloan Research Fellow (2008). His research spans sustainable food systems (e.g., the Plant Guild Composer tool), AI ethics, and legal frameworks for technology governance. Key research interests include computational sustainability, AI’s environmental impact, and interdisciplinary approaches to ecological challenges. Recent work explores AI certification systems, biodiversity law frameworks, and educational tools for fostering systems thinking. His projects often integrate technical innovation with policy design, such as simulations modeling corporate governance reforms or climate policy. Scientific awards include the NSF CAREER Award (2007) and recognition from major media outlets (e.g., *Wall Street Journal*, BBC). His grants and collaborations emphasize real-world impact, such as designing equitable energy systems or analyzing AI’s role in environmental decision-making. Bill co-founded initiatives like *SAGE Community Coordinator* and *Collapse Informatics*, which use participatory simulations to engage communities in sustainability challenges. He teaches courses on global disruption and technology’s societal role, emphasizing ethical and ecological responsibility.

Ramesh Jainمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Multimedia Computing
• +۵ مورد دیگر

Ramesh Jain is a distinguished Professor and Founding Director of the UCI Institute for Future Health at the University of California, Irvine. He holds leadership roles across multiple institutions, including founding directorships of the Artificial Intelligence Laboratory at the University of Michigan (1987), Visual Computing Lab at UC San Diego (1995), and editorships of IEEE MultiMedia and Machine Vision and Applications journal. His research focuses on AI, computer vision, and healthcare innovation, particularly in data-driven health navigation systems and experiential computing. Education: Ph.D. in Electronics & Electrical Communications Engineering from IIT Kharagpur (1975). Research Interests: Building computing frameworks for personalized healthcare AI applications in nutrition and disease prevention Experiential computing and multimedia systems Multimodal data fusion for health monitoring Scientific Awards: ACM Distinguished Service Award (2023), ACM SIGMM Technical Achievement Award (2010), and Fellowships from ACM, IEEE, AAAS, IAPR, AAAI, and SPIE. Professional Contributions: Founded SIGMultiMedia, pioneered multimedia computing concepts like Folk Computing and Experiential Computing, and advised over 15 companies in early stages. Current projects include the Open Source Personal Health Navigator at Peng Cheng Lab, Shenzhen. Lab/Team: Leads the UCI Institute for Future Health, focusing on integrating AI and health informatics for preventive care.

• Energy Law
• Offshore Energy Systems
• Legal Frameworks for Renewable Energy
• +۳ مورد دیگر

Liv Malin Andreasson serves as an Assistant Professor at the University of Groningen's Faculty of Law within the Business Law, European Law and Tax Law department, specializing in Energy and Sustainability Law. She is affiliated with the Groningen Centre of Energy Law and Sustainability and actively contributes to the university's LLM programme in Energy and Climate Law. Dr. Andreasson holds dual LL.M degrees with cum laude distinction - International and European Law from University of Gothenburg (2017) and Energy and Climate Law from University of Groningen (2018). Her research primarily focuses on legal aspects of large-scale offshore wind energy developments and new energy storage and transport alternatives in the North Sea, with particular expertise in offshore energy system integration. Her scholarly work reveals a consistent focus on legal frameworks for renewable energy transition in the North Sea region, with emphasis on hydrogen production and transport, offshore wind integration, and cross-border energy cooperation. Recent publications demonstrate increasing interdisciplinary collaboration and practical policy relevance, particularly addressing the legal challenges of innovative offshore energy technologies. Dr. Andreasson actively supervises master theses and teaches across multiple programs including Energy Law and Policy, Climate Law, and Energy Investment and Trade Law. She has led significant research projects funded by NWO, including the DOSTA project (Developing Offshore Storage and Transport Alternatives) examining legal frameworks for offshore energy technologies in the Dutch North Sea. Her professional activities include numerous academic presentations at international conferences and participation in major collaborative projects such as the North Sea Wind Power Hub consortium with Energinet, Gasunie and TenneT, where she provided legal assessments of the hub-and-spoke concept across multiple European jurisdictions.

Linda van de Burgwalمشاهده پروفایل

دانشیار

• Knowledge Valorisation
• Healthcare Innovation
• Societal Impact of Technology
• +۳ مورد دیگر

Linda van de Burgwal is an Associate Professor at Vrije Universiteit Amsterdam, affiliated with the Faculty of Science's Athena Institute, Amsterdam Sustainability Institute, and Network Institute. She holds a cum laude PhD in societal impact of knowledge in life sciences and a cum laude master’s in health and life sciences management. Her research focuses on stakeholder interactions, knowledge valorisation, and societal entrepreneurship in healthcare innovation. She advises on ancillary roles in companies like Sovalacc BV and Genewity BV, emphasizing entrepreneurship and public health. Education: PhD (cum laude) and master’s (cum laude) from Vrije Universiteit Amsterdam. Teaching includes societal entrepreneurship for biomedical students and finance for health sciences growth. Research interests span blockchain in food systems, federated learning compliance, pharmaceutical R&D efficiency, and probiotic interventions. Awards include the 2015 Best PhD Student Presentation Award. She has supervised six PhD theses and led projects like Take Off Fase 1 Halbaarheid. Her work addresses UN SDGs related to health equity and sustainable systems.