جستجوی استاد راهنمای دانشگاهی

• Ecology
• Plant Science
• Biodiversity
• +۳ مورد دیگر

Peter Vermeulen serves as a Course Manager at WIMEK (Wageningen Institute for Environment and Climate Research) within Wageningen University & Research's School of Environmental Sciences. His research spans ecological theory, plant science, and agricultural applications with a focus on understanding biodiversity, evolutionary processes, and plant-environment interactions through mathematical modeling approaches. Dr. Vermeulen's research interests center on theoretical ecology and plant science, particularly examining how evolutionary principles apply to agricultural systems. His work investigates biodiversity experiments, plant defense mechanisms, and resource allocation strategies in competitive environments. He employs game theoretical models to analyze species interactions and crop system optimization, bridging fundamental ecological theory with practical agricultural applications. His research demonstrates how evolutionary perspectives can inform sustainable cropping practices and improve our understanding of plant community dynamics. Analysis of Vermeulen's publication record reveals consistent focus on modeling approaches in plant ecology, with particular attention to how evolutionary processes shape plant strategies in competitive environments. His work spans theoretical frameworks examining biodiversity effects, plant defense economics, and resource allocation patterns, demonstrating interdisciplinary integration of ecology, evolution, and agricultural science. Vermeulen has delivered academic presentations including the 2006 lecture 'Stap voor stap naar een goede taakroulatie' (Step by step to good task distribution), indicating engagement with educational methodology alongside research activities. His scholarly impact is evidenced by significant citation counts across multiple publications, with several papers accumulating over 40 citations in Scopus. As a researcher at Wageningen University & Research, Vermeulen contributes to the WIMEK network focused on environmental and climate research. His collaborative work with researchers like Anten, During, and others demonstrates integration within research teams addressing fundamental questions in plant ecology and evolutionary biology through both theoretical and empirical approaches.

Friedrich Boeingمشاهده پروفایل

پژوهشگر

• Hydrology
• Climate Change Impact Assessment
• Drought Monitoring
• +۳ مورد دیگر

Friedrich Boeing is a Researcher at the Department of Hydrosystem Modeling in the Computational Hydrosystems unit of the Helmholtz Centre for Environmental Research − UFZ in Leipzig, Germany. He is simultaneously pursuing his PhD at the University of Potsdam under the supervision of Prof. Dr. Sabine Attinger, Prof. Dr. Thorsten Wagener, and Dr. Andreas Marx. PhD Candidate: University of Potsdam University: Helmholtz Centre for Environmental Research − UFZ Department: Hydrosystem Modeling His research focuses on drought quantification , water resource monitoring , and climate change impact assessment for Germany. He develops high-resolution drought indicators and leads knowledge transfer through the WIS-D project , collaborating with stakeholders across water sectors. Recent publications highlight his expertise in soil moisture dynamics , hydrological modeling , and climate-water interactions . His work appears in journals like Environmental Research Letters and Hydrology and Earth System Sciences . Key Projects: WIS-D, CLIMALERT, HOKLIM Collaborations: University of Potsdam, ICOS network, Zenodo data repository

• Plant nematology
• Biotic constraints to crop production
• Soil microbiology
• +۴ مورد دیگر

Kirsty Owen is a Senior Lecturer (Crop Nematology) at the University of Southern Queensland, affiliated with both the School of Agriculture and Environmental Science and the Centre for Crop Health. With expertise in root-lesion nematode management and plant-soil interactions, her work bridges applied research with agricultural education. Education: BScAg, University of Sydney (1994) MScAg, University of Sydney (1996) PhD, University of Sydney (1999) Research Focus: Biotic constraints to crop production, particularly nematode-pathogen-plant interactions and sustainable management strategies in northern Australian grain systems. Publications: 15+ years of research on nematode control through crop rotation, resistance breeding, and soil microbiome manipulation, with recent emphasis on digital detection methods and multi-pathogen dynamics. Teaching: Delivers courses on plant physiology, food security, and science project management while integrating field research insights into agricultural education.

• Artificial Intelligence
• Machine Learning
• Agricultural Technology
• +۳ مورد دیگر

Sayma Shammi is a Research Fellow at the University of Southern Queensland's School of Agriculture and Environmental Science. Her work focuses on integrating artificial intelligence and agricultural technology to enhance crop monitoring and climate resilience through innovative methods like UAV-based imaging and infrared thermography. BSc, North South University MSc, North South University PhD, Murdoch University Her research interests include artificial intelligence, machine learning, computer vision, and image processing in agriculture. She applies these technologies to early frost detection, water stress monitoring, and plant stress analysis using machine learning algorithms and remote sensing techniques. Recent publications highlight trends in precision agriculture, leveraging UAVs, multispectral imaging, and thermal data for crop health analysis. These works emphasize predictive modeling, climate adaptation, and data-driven farming solutions. ACS 1962 Medal (2023-2024) for outstanding doctoral research in Information Technology and Computer Science Vice-Chancellor's Gold Medal from North South University for academic excellence She has nine years of tertiary teaching experience, currently instructing AGR3105 Smart Data Farming, and collaborates with the Institute for Resilient Regions (IRR) at USQ to advance digital agriculture through technological innovation.

Szende Tonkمشاهده پروفایل

دانشیار

• Environmental chemistry
• Biochemistry
• Biotechnology
• +۴ مورد دیگر

Szende Tonk is an Associate Professor at the Department of Environmental Science, Sapientia Hungarian University of Transylvania, Faculty of Sciences and Arts. She teaches courses including General Biochemistry, Organic Chemistry, Meteorology-Climatology, and Sustainable Waste Management at both undergraduate and master's levels. Research Focus: Environmental chemistry, biosorption, phytoextraction, chemical pollution analysis, and environmental remediation technologies. Recent Publications: 2024 study on tetracycline adsorption using waste biosorbents; 2023 work on drug residue toxicity; extensive 2022-2020 studies on dye adsorption mechanisms using brewery waste, mineral clay, and eggshell biosorbents; and PM10 pollution analysis in Eastern Carpathians. Collaborations: Regularly works with researchers like E. Rápó, K. Posta, and Á. Szabó on adsorption studies and environmental monitoring projects.

Risper Nyairoمشاهده پروفایل

استادیار

• Climate Change Adaptation
• Ecological Niche Modeling
• Environmental Impact Assessment
• +۴ مورد دیگر

Risper Nyairo is an Assistant Professor in the Environmental Studies Department at Davidson College, where she applies interdisciplinary methods to study socio-ecological vulnerability and climate change adaptation. Her work integrates Geographic Information Systems (GIS), earth system modeling, and collaboration with ecologists, economists, and data scientists. Ph.D., Osaka University M.S. & B.S., University of Nairobi Research Themes: Monitoring nitrous oxide emissions from specialty crops, enhancing water and soil conservation using high-resolution geospatial data, analyzing species dynamics under climate change, and developing climate analogues for adaptation strategies. Her lab (CCHAMAL) focuses on data-driven solutions to global environmental challenges. Lab & Mentoring: Based in the Wall Academic Building room 181, CCHAMAL mentors Independent Study and Capstone students. She teaches courses like Environmental Science , Weather and Climate , and Paleoclimatology .

• Lignocellulosic Biofuels
• Biomaterials
• Bioenergy Sustainability
• +۳ مورد دیگر

Rebecca Ong is an Associate Professor of Chemical Engineering and Co-Director of Graduate Programs in Chemical Engineering at Michigan Technological University (MTU). She holds a PhD in Chemical Engineering from Michigan State University and dual BS degrees in Chemical Engineering and Biological Sciences from MTU. Her research focuses on lignocellulosic-based biofuels and biomaterials, with a particular emphasis on optimizing biomass conversion processes and assessing the sustainability of bioenergy systems. She investigates pretreatment methodologies like AFEX (Ammonia Fiber Expansion) to enhance enzymatic hydrolysis efficiency, and explores the interplay between plant biology, feedstock quality, and biofuel production. Her work spans topics including switchgrass and energy sorghum pretreatment, microbial inhibition in biofuel production, and the environmental impacts of bioenergy systems. Recent studies address challenges in plastic waste upcycling and climate resilience of energy crops. Dr. Ong collaborates on interdisciplinary projects involving bioprocess engineering, material characterization, and systems analysis to advance sustainable energy solutions. Education: PhD (Michigan State University), BS (Chemical Engineering & Biological Sciences, MTU) Teaching: Advanced Transport Phenomena, Alternative Energy Processes, Bioprocess Engineering Lab Key Research Themes: Bioenergy Sustainability, Lignocellulosic Biomass Conversion, Cell Wall Recalcitrance Her publications highlight innovations in biomass pretreatment, microbial degradation of polymers, and systems-level analysis of biofuel production. Ong’s research bridges molecular-scale mechanisms with large-scale sustainability goals, contributing to both foundational knowledge and applied technologies in renewable energy.

• Self-Supervised Learning
• Unsupervised Representation Learning
• Computer Vision
• +۱۳ مورد دیگر

Aiden Durrant is a Lecturer in the School of Natural and Computing Sciences at the University of Aberdeen, actively contributing to research and teaching in computing science. He is affiliated with the South China Normal University Joint Institute and is accepting PhD students in Computing Science. His research spans machine learning, computer vision, and AI, with a focus on self-supervised and geometric representation learning. BSc (Hons) and MPhil in Computer Science, University of Lincoln PhD in Computing Science, University of Aberdeen Aiden Durrant’s research centers on self-supervised learning and the geometric structuring of learned representations. He investigates how to learn high-quality image representations without human-annotated labels, focusing on preserving semantic and hierarchical knowledge through hyperbolic and hyperspherical geometries. His work extends to multi-modal learning and has practical applications in environmental monitoring, agriculture, nuclear reactor safety, and climate change. He has developed novel architectures such as HMSN (Hyperbolic Self-Supervised Learning) and S-JEA (Stacked Joint Embedding Architectures) to improve representation quality. His recent publications (2023–2025) demonstrate a strong trend in foundation models, self-supervised learning, and deep learning for environmental and industrial applications. Key themes include crevasse mapping in glaciology, segment anything models for drone imagery, and hyperbolic clustering for semantic hierarchies. His earlier work (2019–2022) focused on nuclear reactor anomaly detection using deep learning and time-series analysis, contributing to the CORTEX Horizon 2020 project. Scientific Awards: PhD Poster Award, FISA - 9th European Commission conference on Euratom research and training in safety of reactor systems (2019) Durrant has secured competitive funding, including a 2024 SUSTAIN CDT Studentship (PI) and an Aberdeen Internal Pump-Priming grant (Co-PI), supporting research in AI for glacier mapping and sustainable crop breeding. He supervises PhD students and has co-led teaching modules in Machine Learning, Data Mining, and Research Methods at both undergraduate and postgraduate levels. He also contributes nationally as Deputy Director of the SICSA Graduate Academy, supporting research training across all 14 Scottish computer science departments. He is actively involved in interdisciplinary collaborations, particularly in agri-food data sharing, environmental sustainability, and healthcare AI, often working with cross-institutional teams. His external memberships include BMVA and leadership in organizing the BMVA 2025 Summer School.

Henrique Da Ros Carvalhoمشاهده پروفایل

استادیار

• Agrometeorology
• Soil-Plant-Water Relations
• Bioenergy Crop Management
• +۴ مورد دیگر

Dr. Henrique Da Ros Carvalho is an Assistant Professor in the Department of Soil Science at the University of Manitoba, part of the Faculty of Agricultural and Food Sciences. He holds a PhD and MSc from Texas A&M University and a BSc from the University of São Paulo. His research focuses on agrometeorological techniques to study energy and mass cycling in agricultural systems, aiming to optimize resource use while minimizing environmental impacts. Key areas include evapotranspiration modeling, soil-plant-atmosphere interactions, and bioenergy crop management. He teaches SOIL 3060: Introduction to Agrometeorology. Dr. Carvalho’s recent work emphasizes water resiliency in agriculture, including studies on bioenergy crops like miscanthus and short-rotation woody species. His research also explores instrumentation development for environmental monitoring, such as low-cost radiometers and UAV-based thermal sensing. Publications highlight topics like nitrous oxide emissions mitigation, marginal land utilization, and cotton canopy physiology. His work integrates field experiments, sensor technology, and computational modeling to address climate change impacts on agricultural systems. Collaborative projects like CANN2ONET showcase his commitment to interdisciplinary solutions for sustainable agriculture.

Mario de Haro Martíمشاهده پروفایل

دانشگاهی

• Agricultural Nutrient Management
• Livestock Waste Management
• Agricultural Air and Water Quality
• +۱۱ مورد دیگر

Mario de Haro Martí is an Extension Educator at the University of Idaho Extension, serving Gooding County and the broader Magic Valley region. He is affiliated with the College of Agricultural and Life Sciences and works within the University of Idaho Extension department, delivering applied research and educational programs focused on sustainable agriculture and environmental stewardship. Education: Ph.D. in Environmental Science, University of Idaho, 2018 M.S. in Environmental Science, University of Idaho, 2007 B.S. in Environmental Studies, National University of Comahue, Argentina, 1996 Mario de Haro Martí's research and extension interests center on improving the sustainability of dairy and livestock operations. His work emphasizes agricultural nutrient and waste management , air and water quality , dairy and livestock sustainability , and bilingual workforce education . He develops practical solutions for reducing environmental impacts while enhancing productivity. His programs cover manure and compost management, vermicomposting, cover crops, and community environmental science education. His recent publications reflect a strong focus on sustainable livestock systems, including nutrient utilization, air emissions reduction (especially ammonia), alternative feedstuffs, climate resilience in agriculture, and the socio-economic challenges facing small dairy farms. The research integrates environmental science, animal nutrition, and community engagement, particularly with Hispanic dairy workers. Scientific Awards and Honors: National Association of County Agricultural Agents Distinguished Service Award (National Winner, 2022) Health Heroes Award (Hispanic Coalition and EXCITE program, 2022) University of Idaho Extension Diversity Award (2020) Xi Sigma Pi (International Natural Resources Honor Society, 2018) Gamma Sigma Delta (Honor Society of Agriculture, 2009) National Finalist, Communication Award (2009) Western Region Extension Education Poster Winner (2009) Golden Key International Honour Society (Top 15% of 2007 graduates) Mario de Haro Martí actively advises and trains dairy producers and their workforce, developing bilingual educational materials on farm safety, immunization, and dairy management. His work is supported by extension grants and collaborative programs like the EXCITE initiative, which integrates farm safety with immunization education. He has been with the University of Idaho Extension since 2007, conducting on-farm research and outreach. He leads and participates in multidisciplinary teams focused on agricultural sustainability, environmental quality, and community health. His work includes stakeholder-driven projects on climate change adaptation and rural development in the Upper Snake River Basin.

• Hydrology
• Soil Erosion and Conservation
• Sediment and Water Interaction
• +۷ مورد دیگر

Dr. Fahimeh Mirchooli is a postdoctoral researcher in the Department of Geography at the University of Bonn, Germany, working within the AG Klaus research group. Her work focuses on hydrology, soil erosion, and sustainability of catchment systems. She holds a PhD in Natural Resource Engineering from Tarbiat Modares University, Iran, and has held academic research roles at Sari Agricultural Sciences and Natural Resources University and Hakim Sabzevari University. PhD, Natural Resource Engineering (Watershed Science and Engineering), Tarbiat Modares University, Iran, 2020 Visiting Researcher, University of Salzburg, Austria, 2019 MSc, Natural Resource Engineering (Watershed Management), Isfahan University of Technology, Iran, 2013 BSc, Natural Resource Engineering (Rangeland and Watershed Management), University of Tehran, Iran, 2011 Dr. Mirchooli's research centers on soil erosion and conservation , sediment-water interactions , spatial modeling using machine learning , and catchment health and sustainability . She integrates geospatial analysis, environmental modeling, and data science to assess land degradation, ecosystem services, and environmental risk. Her work often involves remote sensing, GIS, and hybrid modeling approaches combining empirical and machine learning techniques. Her recent publications (2018–2024) reflect a strong trend in environmental risk modeling , land degradation assessment , and machine learning applications in hydrology and soil science . Topics include gully erosion susceptibility, dust emission risk, flood modeling, and watershed sustainability. The interdisciplinary nature of her research spans ecology, geoscience, agricultural science, and public health . Scientific awards and honors include: Ranked 1st among PhD students in Watershed Management Sciences and Engineering (2020) 6th rank in national PhD entrance exam for Watershed Management (2015) George Forster Fellowship (2025) Sabbatical Scholarship from Ministry of Science, Research and Technology, Iran (2019–2020) Dr. Mirchooli has received research grants including the George Forster Fellowship and a Sabbatical Scholarship. While no formal advisees are listed, her collaborative publication record indicates active mentorship and team-based research. She is involved in hydrology and sustainability research within the AG Klaus group, contributing to projects on catchment health, erosion modeling, and environmental monitoring.

Klaus Butterbach-Bahlمشاهده پروفایل

استاد

• Environmental Science
• Climate Change
• Nitrous Oxide Emissions
• +۴ مورد دیگر

Klaus Butterbach-Bahl is a Professor and Centre Director at the Department of Agroecology, Aarhus University, Denmark. He leads the Center for Landscape Research in Sustainable Agricultural Futures (Land-CRAFT). His research focuses on greenhouse gas emissions, soil processes, and agricultural sustainability, with a particular emphasis on nitrous oxide and denitrification mechanisms. He is actively involved in projects such as the 'New emission factors for nitrous oxide from crop residues' (2024–2029), addressing IPCC methodology and N₂O emissions. Key research interests include climate change mitigation, soil science, and environmental monitoring. He collaborates internationally and has contributed to over 60 publications since 2022. Notable recent works include advancements in soil chemical imaging systems and studies on nitrogen deposition impacts. Butterbach-Bahl also organizes conferences like the XXII International Nitrogen Workshop (2024) and holds an external role as Principal Scientist at the Karlsruhe Institute of Technology (2022–2030).

Francisco Arealمشاهده پروفایل

استاد

• Agricultural Economics
• Environmental Economics
• Econometrics
• +۳ مورد دیگر

Francisco Areal is a Professor of Economics at the Newcastle Business School, Northumbria University, joined in February 2023. Previously, he held roles as Senior Lecturer at Newcastle University (2019–2023) and Associate Professor at the University of Reading (2011–2019). His research focuses on the intersection of agriculture, environment, and economics, employing statistical/econometric methods for policy-relevant insights. Key projects include leading analyses on consumer preferences (SUS-Health project) and farmer adoption of agroforestry practices (AF Futures). He also led a China-funded project on sustainable intensification via remote sensing. His qualifications include a PhD (2013), MSc (2010), and BSc (2003). Research interests emphasize farm sustainability indicators, social connectivity in consumer choices, and barriers to agro-forestry adoption. Notable collaborations include EU-funded SOILCARE (analyzing soil quality willingness-to-pay) and UKRI projects with Newcastle/Belfast Universities. His work addresses global challenges in sustainable agriculture, environmental policy, and development economics. Advising and grants encompass leadership roles in interdisciplinary projects such as SUS-Health (cross-country consumer studies) and AF Futures (agroforestry barriers). His research often bridges empirical analysis with policy implications, particularly in lower-middle-income countries. Active in international partnerships, he contributes to global sustainability initiatives through collaborative research networks and funded projects.

Jesús Israel Pagán Muñozمشاهده پروفایل

دانشیار

• Plant Virology
• Epidemiology of Infectious Diseases
• Evolutionary Biology
• +۳ مورد دیگر

Jesús Israel Pagán Muñoz is an Associate Professor at the Universidad Politécnica de Madrid (UPM) , leading the research group 'Determinants of Plant Virus Seed Transmission and Speciation' at the Centro de Biotecnología y Genómica de Plantas (UPM-INIA/CSIC) . His work focuses on understanding plant virus emergence, speciation, and seed transmission dynamics, with applications in sustainable agriculture and biotechnology. His research addresses ecological and genetic factors influencing virus speciation in Iberian ecosystems, seed transmission mechanisms in Arabidopsis thaliana , and collaborations on animal/human RNA virus evolution. Key projects include studying biodiversity impacts on virus prevalence and biotech strategies to combat seed-transmitted pathogens. Funding includes grants from the Spanish Ministry of Economy and Competitiveness (BIO2016-79165-R) and Marie Curie Actions (PCIG11-GA-2012-322100). Recent articles highlight plant-virus interactions under stress, phage therapy for antibiotic-resistant bacteria, and seed transmission quantification. Advising : Supervising PhD student Lucía García Ordoñez and collaborating with postdocs and technicians. Labs/Teams : CBGP's Plant-Virus Interaction Lab and interdisciplinary groups studying viral evolution and ecology. Future Work : Biotech partnerships to develop seed-transmission-resistant crops and ecological modeling of pathogen emergence.

• Sports Analytics
• Machine Learning Applications
• Healthcare Data Science
• +۵ مورد دیگر

Samah Senbel is an active faculty member in the School of Computer Science & Engineering at Sacred Heart University , specializing in interdisciplinary data science applications. Her research bridges computer science with sports analytics, healthcare diagnostics, and social systems through advanced machine learning techniques. Her research interests focus on predictive modeling and performance analytics , particularly examining athletic performance metrics in Division 1 women's basketball through physiological monitoring (sleep, mental state, jump height). Additional research areas include healthcare diagnostics (liver disease prediction), social media analysis (COVID-19 vaccine sentiment), and agricultural/energy economics. Her methodology emphasizes Python-based data processing and visualization for real-world problem solving. Publication trends reveal strong expertise in Sports Science : 7 articles (2021-2025) on basketball performance, weightlifting analytics, and Olympic participation Health Informatics : 4 articles on disease prediction, physical activity monitoring, and pandemic impacts Social Systems : 4 articles covering visa applications, traffic safety, and gender disparities Her scientific contributions demonstrate consistent output with 12 peer-reviewed publications in 2025 alone, primarily in computer science and sports medicine journals. Dr. Senbel leads research on athlete monitoring systems, developing methodologies to correlate training metrics with competitive outcomes. Her current projects include dynamic dashboards for basketball performance tracking and machine learning models for early disease detection.