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Trevor WalkerView profile

Assistant Professor

• Forest Genetics
• Tree Breeding
• Biomass Production
• +5 more

Trevor Walker is an Assistant Professor in the Department of Forestry and Environmental Resources at North Carolina State University's College of Natural Resources. His research focuses on forest genetics, tree breeding, and biotechnology applications for improving commercial forestry outcomes. Research Interests: Utilizing hyperspectral imaging and machine learning for high-throughput phenotyping of disease resistance in loblolly pine Investigating genetic parameters for growth, wood quality, and climate resilience in Pinus taeda populations Developing cost-effective genotyping methods for pedigree quality control in tree breeding programs Optimizing silvicultural practices through comparative analysis of planting stock and thinning regimes Publications Trends: Dr. Walker's recent work emphasizes advanced phenotyping techniques, genetic gain estimation, and adaptive forestry. His research spans from foundational genetic studies to applied technologies for disease resistance and wood quality optimization. Grant Support: Currently leads the Loblolly Pine Biomass Genetics/Cropping Study (2019-2024), funded by the North Carolina Department of Agriculture & Consumer Services with $127,993. This project evaluates genetic families and thinning regimes to maximize biomass and sawtimber returns. Laboratory Focus: Works with large-scale progeny test trials and clonal populations to advance genomic selection methods. His group explores innovative applications of imaging technology and statistical modeling in forest genetics.

• Agricultural Science
• Environmental Science
• Climate Studies
• +3 more

Yun Zeng is a Postdoctoral Research Scholar in the Department of Forestry and Environmental Resources at North Carolina State University , affiliated with the College of Natural Resources . Their research focuses on agricultural sustainability, climate impacts on crops, and precision farming strategies, with a particular emphasis on water and nitrogen management in cereal crops like wheat and maize. Zeng employs interdisciplinary approaches combining machine learning, remote sensing, and agronomic modeling to address challenges in crop resilience and resource efficiency. Zeng's work integrates environmental science with agricultural engineering to explore topics such as evapotranspiration dynamics, irrigation optimization, and climate adaptation in cropping systems. Recent studies highlight the role of sowing time management, nitrogen fertilizer strategies, and drought mitigation in enhancing productivity and sustainability. Their research contributes to both regional and global agricultural resilience frameworks. Publications emphasize data-driven solutions for crop-water-nutrient interactions, with applications in the Indo-Gangetic Plains, North China Plain, and Kansas. While no formal academic awards are listed, their contributions to precision agriculture and sustainable resource use reflect significant scholarly engagement. Advising and grant details are not explicitly provided in the available records.

Krishnan AnandView profile

Professor

• Operations Management
• Supply Chain Management
• Economics of Information Systems
• +4 more

Krishnan Anand is a David Eccles Professor and Faculty Fellow in the Department of Operations and Information Systems at the University of Utah’s David Eccles School of Business. He holds tenure and has a distinguished academic career, previously teaching at Wharton and Kellogg. With a B.Tech from IIT Madras, an M.S. from the University of Rochester, and a Ph.D. from Stanford University, Anand specializes in Operations/Supply Chain Management and the economics of Information Systems. His research focuses on ethics, sustainability, supply chain contracts, and the interplay of inventories, information, and incentives. He has received multiple teaching awards, including the Brady Superior Teaching Award and the Daniels Fund Leadership in Ethics Education Award, and pioneered the Global Supply Chain Management course for undergraduates and MBAs. Anand’s research has been recognized with prestigious awards, including the Management Science Best Paper Award (2010–2012) and a best paper award at the Conference on Information Systems and Technology (2016). His work bridges theoretical rigor with practical insights, addressing challenges in IT outsourcing ethics, sustainable operations, and supply chain dynamics. He has delivered invited talks at major business schools and conferences, emphasizing both academic and practitioner audiences. Professionally, Anand transitioned from software entrepreneurship to academia, bringing industry perspectives to his teaching and research. His current roles include advising doctoral students and consulting on academic projects. His publications span topics from AI-driven agriculture systems to cybersecurity and predictive maintenance, reflecting his interdisciplinary approach to solving real-world operational and technological challenges.

• Hydrology
• Civil Engineering
• Sustainability
• +3 more

Auroop Ratan Ganguly is a Professor of Civil and Environmental Engineering at Northeastern University in Boston, MA, serving as Director of the Sustainability and Data Sciences Laboratory (SDS Lab). He holds courtesy appointments across multiple university departments and colleges, emphasizing his interdisciplinary focus. As a hydrologist and civil engineer, his work bridges sustainability challenges with data-driven approaches. His research integrates: Hydrology and water resource systems Climate extremes and resilience modeling Sustainability science and equitable development Machine learning applications in environmental domains Geospatial analytics and remote sensing Infrastructure-climate interactions This interdisciplinary nexus addresses pressing global challenges through computational innovation. Analysis of 159 publications shows recurring themes: climate extremes modeling (floods, heatwaves, precipitation), AI-enhanced environmental monitoring (satellite imagery, crop mapping), sustainability transitions, and complex system resilience. Recent work demonstrates increased focus on deep learning architectures, transboundary water systems, and urban-scale climate impacts. He leads the Sustainability and Data Sciences Laboratory, which pioneers interdisciplinary research at the nexus of climate science, civil engineering, and artificial intelligence. The lab's work supports decision-making for environmental sustainability and infrastructure resilience.

Fabio Dell'AcquaView profile

Professor

• Remote Sensing
• Telecommunications
• Satellite Data Fusion
• +3 more

Prof. Fabio Dell'Acqua is a Full Professor at the Department of Industrial and Information Engineering , University of Pavia , Italy. His academic activities span remote sensing, telecommunications, and data fusion for risk assessment. Expertise : Satellite data processing, agricultural monitoring, urban change detection Projects : ESA ARTES Demonstration Project "Saturnalia", FabSpace 2.0 educational initiatives Research Focus : He investigates Earth observation applications through: Advanced machine learning for SAR and Hyperspectral RS data Time series analysis of agricultural landscapes Band selection strategies for remote sensing systems Publication Trends : Dell'Acqua's recent work integrates multispectral satellite data with neuromorphic coding , focusing on: Energy-efficient communication in distributed networks Vineyard biomass monitoring via optical-SAR fusion Manure application detection for environmental compliance Academic Roles : Active contributor to ESA projects and IEEE Geoscience initiatives, with teaching responsibilities in Geospatial Data Processing courses.

• Forensic Science
• Machine Learning
• Speech and Audio Signal Processing
• +3 more

Nabanita Basu is a researcher at Northumbria University at Newcastle , contributing to interdisciplinary work in Forensic Science , Machine Learning , and Environmental/Agricultural Technology . Her research spans legal, technological, and ecological domains. Research Interests: Forensic voice comparison and courtroom speaker identification Machine learning applications in agriculture and environmental monitoring ISO/IEC 17025:2017 compliance in forensic analysis Biometric data integrity and security protocols Publications highlight her work in forensic methodologies (2025), bioengineering for healthcare data (2024), and acoustic analysis (2022-2024).

• Remote Sensing
• Environmental Monitoring
• GIS Applications
• +3 more

Aylin Tuzcu Kokal is a Researcher at the Department of Geomatics Engineering, Faculty of Civil Engineering, Istanbul Technical University (ITU). She holds a PhD in Geomatics Engineering from ITU (2019), an MSc (2017), and a BSc in Geomatics Engineering (2013). Her work focuses on remote sensing applications in environmental monitoring, including water quality analysis, land-use classification, and climate change impact assessments. She has conducted research on the Marmara Sea, Lake Burdur, and wetlands like Akgöl using multi-sensor satellite data. Education: PhD in Geomatics Engineering, ITU (2013–2019) MSc in Geomatics Engineering, ITU (2013–2017) BSc in Geomatics Engineering, ITU (2013) Research Interests: Remote Sensing, Environmental Monitoring, GIS Applications, Image Processing, Satellite Data Analysis, Water Quality Assessment. Recent Projects: Investigation of Akgöl Wetland with High Resolution Satellite Images (2018–2019, ₺74,989 budget) Monitoring chlorophyll-a and sea surface temperature in the Marmara Sea using multi-source data Teaching: Instructor for Advanced Remote Sensing (GEO 472E) GIS in Ecology (GIT 521E) Surveying (INS 232E) Grants/Projects: She led a project analyzing Akgöl Wetland dynamics using satellite imagery. Her research often integrates remote sensing with GIS and machine learning for environmental applications.

Ellie JamesonView profile

Lecturer

• Microbiology
• Phage Therapy
• Environmental Microbiology
• +3 more

Dr. Ellie Jameson is a Teaching & Research Lecturer at Bangor University's School of Environmental and Natural Sciences. Her research focuses on bacteriophage (phage) biology, microbial ecology, and their applications in healthcare and environmental monitoring. She holds a PhD in Molecular studies on marine cyanobacteria and their phages from Plymouth Marine Laboratory (2004–2008). Her work spans phage therapy development, antibiotic resistance solutions, and wastewater-based epidemiology. Notable projects include the One Health Wales initiative (2022–2023), leveraging interdisciplinary approaches to integrate public and environmental health surveillance. She also leads the EPIC project (2025–2026) to improve chronic wound care using phage products. Jameson's research emphasizes phage diversity in soil, oceans, and clinical settings. She has pioneered visual storytelling through phage-themed cartoons, bridging science communication and research (e.g., 'Going viral: phage therapy in Africa' and 'The Evolution of Phage'). Her grants include a £42k Bangor University Innovation Award for One Health initiatives and collaborations on phage-biofilm interactions. She actively supervises postgraduate research and contributes to academic publishing in journals like PHAGE and Microbiome .

• Plant Breeding
• Biotechnology
• Agricultural Experimentation
• +4 more

Professor Vasileios Papasotiropoulos is a faculty member at the Agricultural University of Athens, Department of Crop Science, leading the Laboratory of Plant Breeding and Biometry. He specializes in plant breeding, biotechnology, and agricultural experimentation. His research focuses on crop resilience, genetic diversity of endemic plants, and molecular tools for crop improvement. He teaches courses such as "Breeding Field Crops" , "Biotechnology and Plant Breeding" , and "Agricultural Experimentation II" . His research programs include the PlantUP initiative aimed at leveraging Greek biodiversity through advanced breeding techniques. He collaborates actively with students and has published extensively on topics like volatile compound analysis in strawberries, genetic diversity of eggplant cultivars, and climate change resilience in Mediterranean crops. His work integrates AI, genomics, and traditional breeding methods to address agricultural challenges. Key contributions include molecular authentication of oregano and sage varieties, and the conservation of threatened plant species like Limonium and Asperula. He holds a PhD and maintains an office in the Papadaki building, offering student consultations via预约.

• Remote Sensing
• Environmental Science
• Agriculture
• +3 more

Dr Ken Clarke is a Grant-Funded Researcher (C) at the University of Adelaide's School of Agriculture, Food and Wine. He is affiliated with The Plant Accelerator , a facility focused on advanced agricultural research. His work emphasizes remote sensing technologies, environmental monitoring, and spatial analysis in diverse contexts including rangeland management, coastal ecosystems, and agricultural sustainability. Research interests span hyperspectral imaging for crop disease detection, satellite-based vegetation recovery analysis, and climate impact modeling on marine and terrestrial ecosystems. He also explores applications of remote sensing in public health initiatives like dental program evaluations and food safety frameworks for aquaculture. His projects frequently integrate machine learning techniques for data synthesis and adversarial attack mitigation in sensor systems. Publications from 2021–2025 highlight contributions to seagrass recovery dynamics, drought effects on wildlife, and precision agriculture tools. His work bridges environmental science, engineering, and policy, with a focus on translating technical insights into actionable conservation and agricultural strategies. No scientific awards are listed in his profile, though his extensive grant-funded research indicates active collaboration with industry and government bodies.

Krzysztof PancerzView profile

Professor

• Machine Learning
• Computational Intelligence
• Knowledge Discovery from Data
• +3 more

Krzysztof Pancerz is a Professor at the Department of Computer Science within the Faculty of Philosophy at John Paul II Catholic University of Lublin (KUL), Poland. His institutional affiliation is formalized as "prof. KUL" with contact address at Al. Racławickie 14, 20-950 Lublin. He holds dual doctorates: PhD in Computer Science (2006) and DSc in technical sciences (2018) from the Polish Academy of Sciences in Warsaw. His research spans Computational Intelligence and Medical Diagnostics , with emphasis on machine learning for cancer detection using Raman/FTIR spectroscopy. Key areas include: Knowledge discovery from biomedical spectral data Ontology-based information systems Unconventional computing models Deep learning for disease biomarker identification Recent publications (2022-2025) demonstrate consistent focus on cross-disciplinary applications, particularly in oncology and reproductive health diagnostics. He actively organizes scientific workshops including: International Workshop on AI in Medical Applications (FedCSIS conferences, 2011-2018) Knowledge and Data Engineering in Medicine (KES conferences since 2018) His research leadership includes managing the Ministry of Science-funded project on non-invasive laryngeal disease diagnostics and contributing to the EU FP7 PhyChip project on slime mould computing. Current thesis supervision includes topics like fruit leaf recognition and financial deposit forecasting using neural networks. Professional engagement: Member of Polish Fuzzy Sets Society (POLFUZZ) ORCID: 0000-0002-5452-6310 Publications indexed in arXiv, dblp, PubMed

Robert BurdukView profile

Professor

• Artificial Intelligence
• Machine Learning
• Supervised Classification
• +3 more

Prof. Robert Burduk is a full-time professor at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , specializing in artificial intelligence and machine learning. His research focuses on supervised classification, ensemble learning, and decision support systems with applications in photovoltaic energy forecasting, insect rearing monitoring, and software bug assignment. Key research areas: Artificial Intelligence, Machine Learning, Business Intelligence Department: Systems and Computer Networks Recent Publications (2024-2023): Burduk's work addresses classifier fusion, photovoltaic power optimization, and agricultural monitoring using advanced AI techniques like convolutional neural networks and domain shift detection. Notable themes include ensemble learning strategies, energy system modeling, and interdisciplinary applications.

Sabina LeonelliView profile

Professor

• Data-Intensive Science
• Philosophy of Science
• History of Science
• +4 more

Sabina Leonelli is Professor of Philosophy and History of Science at the University of Exeter, where she co-directs the Centre for the Study of the Life Sciences (Egenis). She was a Fellow at the Wissenschaftskolleg zu Berlin (2021–22) and holds fellowships at the Alan Turing Institute, Academia Europaea, and Académie Internationale de Philosophie de la Science. Her work focuses on the epistemology, history, and governance of data-intensive science, plant research, modeling integration across biological/environmental/health sciences, open science, and global research evaluation systems. Research Trends : Her recent publications emphasize data ethics, global health, AI in agriculture, and epistemological shifts in data practices. Key themes include data actionability, governance, reproducibility, and the social implications of open science. Scientific Awards Fellow, Wissenschaftskolleg zu Berlin (2021–22) Fellow, Alan Turing Institute Fellow, Academia Europaea Fellow, Académie Internationale de Philosophie de la Science ERC grant recipient (twice) Her editorial role at History and Philosophy of the Life Sciences and leadership in initiatives like the CGIAR Ontologies Community of Practice highlight her commitment to fostering interdisciplinary collaboration and equitable data practices.

Christopher BowdenView profile

Research Fellow

• Climate Change
• Agricultural Resilience
• Machine Learning Applications
• +4 more

Christopher Bowden is a Postdoctoral Research Fellow in the Department of Civil Engineering and Management at the University of Manchester. His research focuses on enhancing agricultural resilience to climate change through crop-climate modeling and machine learning. He developed the open-source AquaCrop-OSPy model, collaborating with industry for practical applications. Previously, he researched rice production resilience in India during his PhD and wheat yield improvement at the John Innes Centre and Limagrain UK. Education: MSc Bioinformatics & Systems Biology (2018-2019), MSc Plant Genetics & Crop Improvement (2015-2017) His expertise spans climate-resilient crop systems, machine learning in agriculture, and sustainable production frameworks. Research emphasizes monsoon variability impacts on rice yields and irrigation's role in climate adaptation. He actively seeks collaborations to address food security challenges under climate change. Award: 2019 Outstanding Achievement Award from School of Biological Sciences He advises PhD students and has contributed to interdisciplinary projects linking climate science with agricultural innovation. His work aligns with UN Sustainable Development Goals for climate action and food security.

• Machine Learning
• Evolutionary Algorithms
• Computer Science
• +2 more

Amy Peerlinck is a Lecturer in the Math & Computer Science Department at Western Colorado University. She holds a PhD in Computer Science from Montana State University (2023), an MS in Computer Science from the same institution (2019), and dual bachelor's degrees in Information Science (Karel de Grote College/University, 2016) and Applied Linguistics (University of Antwerp, 2013). Originally from Belgium, she relocated to Montana for a tech internship and discovered a passion for both mountain environments and computer science education. Her research focuses on applying computational intelligence to real-world problems, with expertise in: Machine learning and evolutionary algorithm development Precision agriculture optimization and sustainability Multi-objective problem solving using factored evolutionary approaches Neural network applications for agricultural prediction models Her publications demonstrate consistent focus on evolutionary computation and machine learning applications in agriculture, particularly through optimization algorithms like genetic programming and neural network ensembles. Conference papers frequently address yield prediction, experimental design optimization, and sustainable farming solutions.