جست‌وجوی استاد و پژوهشگر

Ollie Ballingerمشاهده پروفایل

مدرس

• Geocomputation
• Remote Sensing
• Conflict Analysis
• +۴ مورد دیگر

Dr. Ollie Ballinger is a Lecturer (Teaching) in Geocomputation at the Centre for Advanced Spatial Analysis (CASA), University College London. His research focuses on leveraging computational methods and satellite imagery for conflict analysis, environmental monitoring, and humanitarian applications. He holds a PhD from the Oxford Department of International Development, where his work explored computational approaches to insurgent recruitment dynamics in Turkey. Education: PhD in International Development from the University of Oxford (focused on computational conflict analysis) Research Interests: Dr. Ballinger's work spans geospatial analysis, remote sensing, and open-source intelligence (OSINT). He develops novel algorithms for detecting conflict-related damage (e.g., pixel-wise T-test for SAR imagery), tracks illicit activities like ship-to-ship transfers and illegal mining, and creates tools for humanitarian and environmental accountability. His projects often involve collaboration with organizations like Bellingcat and the Alan Turing Institute. Key Projects: Pixel-Wise T-Test (PWTT) algorithm for open-access battle damage detection Analysis of ship-to-ship transfers in maritime trade Monitoring illegal rare earth mining in Myanmar Radar interference tracking for military surveillance systems Tools & Contributions: Developed Python libraries for image processing and network analysis Principal Investigator for projects with Global Witness and the Alan Turing Institute Contributor to Bellingcat's investigative reporting on conflict pollution and environmental crimes Grants & Collaborations: Collaborations include work with the United Nations Satellite Centre (UNOSAT) for damage assessments and partnerships with NGOs like Global Witness for environmental monitoring projects. His research is supported by grants focused on computational methods for humanitarian and environmental applications. Labs & Teams: Active within the Centre for Advanced Spatial Analysis (CASA) at UCL, where he contributes to interdisciplinary geospatial research initiatives.

Marta Zanioloمشاهده پروفایل

استادیار

• Water Resources Planning and Management
• Drought Modeling
• Climate Change Adaptation
• +۵ مورد دیگر

Marta Zaniolo serves as an Assistant Professor in Civil and Environmental Engineering at Duke University since January 2024, addressing critical water sustainability challenges through integrated hydrology, machine learning, and systems modeling approaches. Her work focuses on ensuring equitable water access amid climate change, scarcity, and competing demands across diverse spatial scales. Her academic foundation includes: B.S. in Environmental Engineering from Politecnico di Milano (2014) M.S. in Environmental Engineering from Politecnico di Milano (2017) Ph.D. in Information Technology (Environmental Intelligence Lab) from Politecnico di Milano (2020) Postdoctoral Research at Stanford University (2020-2023) Dr. Zaniolo's research integrates water resources planning , drought modeling , and climate adaptation with cutting-edge machine learning techniques including reinforcement learning and feature extraction. The ZEDD Lab develops computational models that synthesize climate, hydrological, and socio-economic data to enhance decision-making for water security. Her work emphasizes real-world applicability through stakeholder engagement and participatory design, particularly in vulnerable regions like the Omo-Turkana basin where mismanaged infrastructure operations can trigger socio-ecological conflicts. Analysis of her 2021-2025 publications reveals three dominant research trajectories: (1) development of synthetic weather generators (e.g., FIND model) for precise drought characterization, (2) neuro-evolutionary algorithms for multi-objective reservoir control under climate uncertainty, and (3) quantification of flexibility value in water infrastructure planning. These studies consistently bridge technical innovation with equity considerations, particularly in transboundary water systems. She leads the Zaniolo Lab for Environmental Data and Decisions (ZEDD Lab), which operates at the intersection of hydrology, systems modeling, and machine learning. The lab's framework combines computational water system dynamics with stakeholder-inclusive approaches to develop decision support tools for extreme event preparedness. Current projects focus on urban drought resilience, dam reoperation strategies for climate extremes, and heat-substance use risk intersections in rural communities, all grounded in case studies spanning California, Ethiopia, and the American South.

• Internet of Things (IoT)
• Machine Learning
• Smart Agriculture
• +۹ مورد دیگر

Laura Belli is a Researcher at the Department of Engineering and Architecture , University of Parma, with a focus on interdisciplinary projects bridging IoT, Machine Learning, and Smart Systems . Her work spans smart agriculture, vehicular networks, and urban mobility. Research Interests: Internet of Things (IoT) in agriculture and transportation Machine Learning for predictive modeling and data analysis Edge Computing and network optimization Blockchain applications in data integrity Driver health and stress monitoring Recent Publications highlight her contributions to privacy-preserving vehicular systems , smart farming datasets , and adaptive IoT protocols . She collaborates on projects like OPEVA and DistriMuse , emphasizing data-driven innovation.

Justine E. Vanden Heuvelمشاهده پروفایل

استاد

• Sustainable viticulture production
• Ecophysiological factors affecting fruit and wine composition
• Computational tools for vineyard management
• +۵ مورد دیگر

Justine E. Vanden Heuvel is a Professor in the Horticulture Section at Cornell University's School of Integrative Plant Science . Her work bridges viticulture research and undergraduate education . Education: Doctorate (2002) from the University of Guelph M.Sc. in Plant Agriculture (1999) from the University of Guelph B.Sc. (1996) from the University of Guelph Research Interests: Focus on digital viticulture for precision management, flavor/aroma optimization in wine grapes, and ecophysiological factors affecting fruit-wine composition. Implements computational tools like NDVI imaging and computer vision for sustainable practices in cool climates. Publication Trends: Research spans soil-plant interactions , climate adaptation , and vineyard technology . Key areas include under-vine vegetation for environmental sustainability, microbial composition studies , and canopy management to improve grape quality. Outreach Activities: Actively engages through @thegrapeprof YouTube content and media contributions to outlets like the New York Times Well blog and HuffPost Science . Teaches courses such as The Science of Grapevines (VIEN 3300) , Advanced Viticulture (VIEN 4460) , and Wine Culture (VIEN 2810) . Contact: G14 Plant Science Building, Ithaca, NY 14853

Amr Omarمشاهده پروفایل

پژوهشگر

• Solar Thermal Systems
• Desalination Processes
• Water Treatment Technologies
• +۴ مورد دیگر

Dr. Amr Omar is a researcher at the University of New South Wales , affiliated with the School of Mechanical and Manufacturing Engineering and Department of Chemical Engineering. His work focuses on integrating renewable energy systems—particularly solar thermal technology—with advanced water treatment processes to address global sustainability challenges. PhD in Solar Thermal Systems & Desalination (UNSW, 2017-2020) Postdoctoral Researcher (UNSW Chemical Engineering, 2020-2023) Omar specializes in decarbonizing water processes through solar-driven membrane distillation , multi-effect distillation , and hydrogen production cooling systems . His research bridges laboratory innovation with real-world applications, targeting United Nations' SDG6 (Clean Water) and SDG7 (Affordable Clean Energy). Recent publications emphasize techno-economic modeling of hybrid solar-desalination systems, machine learning applications for water filtration optimization, and geospatial analyses of global desalination site feasibility. Key projects include developing hollow fiber vacuum membrane distillation modules and improving flocculant strength assessment for water catchment monitoring. Scientific Recognition : 2022 Malcolm Chaikin Prize for Research Excellence 2020 UNSW Postgraduate Council Research Student Award 2020 3MT Competition Winner (School of Mechanical & Manufacturing Engineering) 2017 Australian Postgraduate Award Scholarship Omar actively supervises PhD and Master’s projects related to solar-driven water treatment and green hydrogen development. He serves as a journal reviewer and conference panel member, advocating for nanobubble technologies in agricultural irrigation systems.

Nipuna Chamaraمشاهده پروفایل

استادیار

• Digital agriculture
• Edge computing
• Computer vision
• +۲ مورد دیگر

Nipuna Chamara is Research Assistant Professor specializing in digital agriculture. His research integrates AI, IoT, and edge computing for crop monitoring and precision farming. He developed AICropCAM—an edge-processing platform deploying deep learning models for real-time plant phenotyping. Research focuses: Edge-computing frameworks for agricultural IoT Deep learning applications in plant/canopy parameterization Low-power sensor networks for field deployment His AICropCAM system reduces data transmission needs by 99.995% through on-device processing, enabling real-time decision-making in resource-limited environments.

Markus Kellerمشاهده پروفایل

استاد

• Viticulture
• Grape Physiology
• Irrigation Management
• +۴ مورد دیگر

Markus Keller is a **Château Ste. Michelle Distinguished Professor** in the **Department of Horticulture and Landscape Architecture** at **Washington State University (WSU)**, affiliated with the **Prosser Irrigated Agriculture Research and Extension Center (IAREC)**. His research focuses on grapevine physiology, viticulture production systems, and environmental stress management. He holds a **Ph.D. (1995)** and **M.S. (1989)** in Agricultural Engineering from the **Federal Institute of Technology (ETH Zurich), Switzerland**. **Research Interests**: Dr. Keller’s work addresses crop physiology, irrigation strategies, cold hardiness, berry shrivel, and mechanized viticulture. His projects include developing deficit irrigation frameworks, understanding water movement in berries, and predicting frost damage risks using machine learning. He collaborates with industry partners like the USDA and Washington wine producers. **Key Contributions**: His studies on grapevine water relations, berry development disorders, and cold tolerance have advanced sustainable viticulture practices. He leads teams investigating precision agriculture tools for vineyards, including hyperspectral imaging and decision-support systems. **Grants & Funding**: Supported by grants from USDA, Washington wine tax, and juice processors. His work integrates applied research with grower education on frost protection and yield optimization. **Lab & Collaborations**: Directs research at WSU’s Viticulture and Enology program, collaborating with international teams on climate resilience and grapevine health. Mentors Ph.D. and M.S. students in experimental design and field studies.

• Precision Agriculture
• IoT in Agriculture
• Agricultural Engineering
• +۴ مورد دیگر

Patrick Noack is a Professor at HSWT, leading the Competence Centre for Digital Agribusiness (KoDA) and serving as Programme Director for Agricultural Engineering and Green Digital Engineering. His research focuses on IoT applications in agriculture, precision farming, and sensor systems. He has pioneered projects like DenimeF (foreign body detection in forage harvesters) and AutoDGB (automated field trial analysis). Key areas include GPS-guided machinery, soil sensors, and UAV-based monitoring. He chairs digitalization committees and collaborates with organizations like ASABE and VDI Round Table GIS. His work emphasizes interdisciplinary education, integrating horticulture and bioinformatics through agile methods. Research interests span environmental technology, geospatial data analysis, and sustainable resource management. Recent publications address spectral imaging for crop yield prediction and non-lethal insect monitoring systems. He advises students like Jan Oehlschläger and leads grants totaling millions in precision agriculture innovation.

Carlos A. Ocampo Martínezمشاهده پروفایل

دانشیار

• Control Engineering
• Model Predictive Control
• Constrained Control Systems
• +۱۲ مورد دیگر

Carlos A. Ocampo Martínez is an Associate Professor in the Department of Automatic Control (ESAII) at the Universitat Politècnica de Catalunya (UPC), BarcelonaTech, Spain. He is affiliated with the Institut de Robòtica i Informàtica Industrial, CSIC-UPC, a joint research center between UPC and the Spanish National Research Council. He has been with UPC since 2011 and served as Deputy Director of IRI from 2014 to 2018. Education: PhD in Control Engineering, Universitat Politècnica de Catalunya, 2007 MSc in Industrial Automation, National University of Colombia, 2003 BSc in Electronics Engineering, National University of Colombia, 2001 His research is centered on model predictive control (MPC) , particularly constrained and distributed MPC, with applications in energy, water, and smart manufacturing. He investigates large-scale systems management, partitioning strategies, and non-centralized control architectures. His work integrates IoT frameworks for smart industrial systems. Key domains include renewable hydrogen production, fuel cell vehicles, microalgae bioreactors, and solar thermal plants. The recent publications reflect a strong trend in applying control theory to sustainable energy systems and environmental management. There is a clear focus on integrating game theory, population dynamics, and optimization into MPC frameworks for distributed and coalitional control. Applications span hydrogen infrastructure, solar energy, water irrigation, and transportation electrification, demonstrating interdisciplinary impact. Scientific Awards: Juan de la Cierva Research Fellow Dr. Ocampo-Martínez actively supervises PhD students and leads research projects such as MASHED , which focuses on digitalized energy systems with hybrid storage. He has advised students on topics including alkaline electrolyzers, hydrogen production control, and alcohol steam reformers. His grant involvement emphasizes renewable integration, smart grids, and sustainable transport. He collaborates with researchers across Europe and contributes to high-impact journals and IFAC conferences. He is a key member of the Automatic Control research group at ESAII and contributes to the strategic direction of the Institut de Robòtica i Informàtica Industrial. His team integrates control theory, optimization, and real-world industrial applications, particularly in energy and water systems.

• Machine Learning
• Deep Learning
• Plant Disease Detection
• +۳ مورد دیگر

Geeta Rani is a researcher actively contributing to the intersection of Computer Science and Agricultural Technology , with recent publications in plant disease detection , IoT-based smart farming , and medical imaging applications . She collaborates with researchers like V. Dhaka, Nidhi Kundu, and M. Woźniak. Key Research Areas : Deep Learning, Plant Disease Classification, IoT Frameworks, Agricultural AI, Medical Imaging, Neural Networks Her work includes a 2023 focused review on IoT and Deep Learning for plant disease monitoring , highlighting research gaps and model performance comparisons. In 2022, she contributed to disease severity prediction in maize, achieving significant citation impact. Earlier projects (2021-2019) involved developing frameworks for pearl millet disease prediction, comparative studies of CNN models for plant diseases, and AI-based irrigation systems. She also explored medical image transformation using GANs (2020) and diabetes prediction via neural networks.

Yu Kangمشاهده پروفایل

استاد

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

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

Lorena N. Lacerdaمشاهده پروفایل

استادیار

• Precision Agriculture
• Remote Sensing
• Sustainable Crop Production
• +۴ مورد دیگر

Lorena N. Lacerda is an Assistant Professor in Integrative Precision Agriculture within the Department of Crop & Soil Sciences at the University of Georgia's College of Agricultural & Environmental Sciences. Her work focuses on developing precision agriculture systems that integrate UAV and satellite remote sensing technologies to monitor and optimize crop production through understanding soil-plant-environment interactions and spatial-temporal variability in agricultural fields. Email : llacerda@uga.edu Contact : 706-542-2461 Location : 3111 Miller Plant Sciences, Athens, GA 30602 Dr. Lacerda's research spans multiple dimensions of precision agriculture, including: Thermal imaging and vegetation indices for crop water stress detection Hyperspectral analysis for aflatoxin contamination monitoring Deep learning applications in yield estimation and plant segmentation Machine learning modeling for nitrogen and irrigation optimization Geostatistical approaches to soil-crop variability analysis Integration of UAV and satellite data for field-scale agricultural decision-making Her recent publications demonstrate increasing sophistication in combining sensor technologies with advanced analytics to address agricultural challenges across corn, cotton, and peanut systems in the southeastern United States. The work emphasizes both theoretical development and practical implementation of precision agriculture solutions.

• Remote Sensing
• Agricultural Landscapes
• Land Use Systems
• +۴ مورد دیگر

Christopher Conrad is a Professor of Geoecology at Martin Luther University Halle-Wittenberg, where he has served since 2019. His academic journey includes previous positions as Acting Professor at the same university (2017-2019), Junior Professor for Geographical Remote Sensing at Julius-Maximilians-University Würzburg (2011-2017), and research roles at the German Remote Sensing Data Center. He completed his habilitation on remote sensing applications for sustainable land/water use in the Aral Sea Basin in 2017 and earned his doctorate in 2006. Conrad's research integrates remote sensing, geospatial analysis, and landscape ecology to address sustainability challenges. His primary focus areas include: Agricultural landscape dynamics and land use systems Climate change impacts on water resources and migration patterns Advanced remote sensing techniques for environmental monitoring Ecosystem services assessment in vulnerable regions He leads multiple projects such as CawaGreen , MIGRAWARE , and AgriSens Demmin 4.0 focused on climate adaptation and agricultural innovation. His recent publications demonstrate strong thematic coherence around satellite-based environmental monitoring, with 63% focused on remote sensing applications, 25% on climate-water-agriculture nexus, and 12% on socio-ecological systems. The works predominantly utilize Sentinel, MODIS, and RapidEye data with machine learning integration. Conrad coordinates research teams and landscape laboratories investigating hydrological processes, soil erosion, and crop monitoring. His fieldwork spans Central Asia (Aral Sea Basin), West Africa, and European agricultural systems, emphasizing practical solutions for sustainable land management.

Francesco Pillaمشاهده پروفایل

استاد

• Smart Cities
• Geospatial Analysis
• Environmental Modeling
• +۷ مورد دیگر

Professor Francesco Pilla is a Full Professor of Smart and Sustainable Cities at University College Dublin's School of Architecture, Planning and Environmental Policy, where he also serves as Co-Director of the Spatial Dynamics Lab. Previously, he held positions as MSc Director (2018-2019) and Undergraduate Director for the School of Architecture. With over 15 years of experience in GIS modeling and spatial data analysis, Professor Pilla's work bridges technology, urban planning, and community engagement to create more sustainable cities. Professor Pilla's research focuses on developing geospatial analysis tools and environmental pollution models (air, noise, water) using GIS platforms to facilitate interoperability between research teams and end users. His approach integrates environmental pollution models with pervasive and community sensing applications for calibration and validation. A key innovation in his work is the integration of co-design principles through Living Labs in urban planning and citizen science initiatives to improve city life from an environmental perspective. His recent publications reveal a strong focus on urban sustainability challenges, with significant contributions to air quality monitoring, sustainable transportation, climate adaptation, and citizen science methodologies. His work increasingly incorporates advanced AI techniques, including large language models and machine learning algorithms, to analyze urban systems and develop data-driven solutions for complex environmental problems. The research demonstrates a clear trend toward integrating diverse data sources and developing practical tools for urban governance and planning. Haagen-Smit Prize (2024) - Recognizing outstanding papers published in Atmospheric Environment Best eMobility Project - Electric Vehicle Awards 2024 All Ireland community & council awards - Best Community Transport Initiative 2024 Academic research award: tipping point for action from Financial Times (2023) Professor Pilla leads numerous significant research projects including iSCAPE (H2020-SC5) as Coordinator, OPERANDUM (Principal Investigator for UCD) focusing on flood risk reduction with nature-based solutions, WeCount (Principal Investigator for UCD), and Connecting Nature (Principal Investigator for UCD). He has also secured funding through SFI Investigator grants for 'Scalable, Privacy-Enhanced Analytics for sharing mobility systems' and several Environmental Protection Agency projects. His collaborative work extends to partnerships with MIT through Fulbright/EPA TechImpact awards and IBM through Faculty Awards. At the Spatial Dynamics Lab, Professor Pilla oversees research that combines geospatial analysis, environmental monitoring, and community engagement. His innovative 'Bike Library' initiative, which has expanded to multiple schools in Dublin, exemplifies his commitment to translating research into practical community solutions. The lab's work integrates advanced sensing technologies, GIS platforms, and citizen science to address urban environmental challenges through collaborative approaches.

Erin Haackerمشاهده پروفایل

دانشیار

• Hydrology
• Groundwater Management
• Agricultural Water Systems
• +۴ مورد دیگر

Erin Haacker serves as an Associate Professor in the Department of Earth and Atmospheric Sciences within the College of Arts and Sciences at the University of Nebraska-Lincoln. Her research bridges hydrological science with agricultural water management, focusing on critical water resource challenges in the High Plains region. Her research interests center on groundwater-surface water interactions , irrigation decision-making processes , and climate resilience in agricultural systems . Haacker employs advanced methodologies including machine learning applications , remote sensing data integration , and probabilistic hydrogeological modeling to address water sustainability challenges. Her work particularly examines the High Plains Aquifer system, where she investigates anthropogenic impacts on water resources and develops pathways for sustainable management. Analysis of her recent publications reveals strong thematic focus on irrigation water efficiency , farmer decision-making processes , and groundwater governance frameworks . Her work consistently integrates multiple data sources including satellite observations, field measurements, and modeling approaches to address complex water resource challenges across spatial and temporal scales. While specific scientific awards are not documented in the provided materials, her research portfolio demonstrates significant contributions to hydrological science and agricultural water management. Haacker actively engages in educational initiatives including teaching groundwater geology (GEOL 488/888) and contributing to diversity, equity, and inclusion efforts through the University of Nebraska-Lincoln URGE Pod. Her work addresses critical gaps in understanding water resource sustainability, particularly regarding the interplay between human decisions and hydrological processes in agricultural landscapes. Her research directly supports sustainable water management through policy-relevant science, with particular emphasis on translating hydrological understanding into actionable governance frameworks for shared groundwater resources.