جست‌وجوی استاد و پژوهشگر

Jasdeep Singhمشاهده پروفایل

پژوهشگر

• Soil Science
• Agricultural Sustainability
• Climate Change Mitigation
• +۳ مورد دیگر

Jasdeep Singh is a Researcher and Postdoctoral Associate in the Nutrient Management Spear Program (NMSP) within the Animal Science department at Cornell University's College of Agriculture and Life Sciences (CALS). His research focuses on crop nutrient management, soil health, and the environmental impacts of regenerative agricultural practices such as reduced tillage, cover cropping, and manure-based products. He employs field experiments, predictive modeling, and advanced techniques like X-ray computed tomography to study soil properties and greenhouse gas emissions. His work emphasizes system-level approaches to achieve agronomic and environmental sustainability. Education: He holds a Doctorate in Soil Science with a Graduate Certificate in Data Science from South Dakota State University (2020) and a Bachelor of Science in Agriculture from Punjab Agricultural University, India (2016). Research Interests: Soil health, regenerative agriculture, greenhouse gas mitigation, crop yield stability, and the integration of technology (e.g., mobile apps, UAV imagery) for precision agriculture. His studies often address the interplay between soil physical/chemical/biological processes and climate resilience. Articles Trends: His publications span soil health assessment, cover crop impacts, greenhouse gas modeling (DNDC), and technological innovations in irrigation management. Recent work highlights the promise of regenerative practices in dryland systems and the application of machine learning for crop yield estimation. Labs/Teams: He collaborates with Dr. Quirine Ketterings' lab and contributes to the NMSP's mission of advancing nutrient management strategies for sustainable agriculture.

Kerry Niceمشاهده پروفایل

پژوهشگر ارشد

• Urban Climate Modelling
• Artificial Intelligence
• Deep Learning
• +۵ مورد دیگر

Dr. Kerry Nice is a Research Fellow at the Melbourne School of Design (The University of Melbourne), specializing in urban climate modeling, artificial intelligence, and sustainable urban development. His work integrates software engineering expertise with environmental science to address urban challenges such as heat mitigation, active transport, and public health. He holds a PhD from Monash University, focusing on urban microclimate modeling (VTUF-3D) and the impact of vegetation/water-sensitive design on human thermal comfort. Research interests include: Urban modeling using artificial neural networks and deep learning Climate adaptation strategies for green/blue infrastructure Analysis of urban mobility patterns and bicycle infrastructure equity Impact assessment of irrigation and water management on urban cooling His publications (2020–2025) explore topics such as: System dynamics modeling for urban resilience Machine learning applications in thermal perception prediction Global pandemic mobility shifts and heat mitigation techniques He collaborates with the Transport, Health and Urban Design (THUD) research hub and maintains affiliations with the International Association for Urban Climate (IAUC) and Australian Meteorological & Oceanographic Society (AMOS).

Yuri Calilمشاهده پروفایل

استادیار

• Agricultural Economics
• Financial Economics
• Applied Econometrics
• +۴ مورد دیگر

Yuri Calil is an Assistant Professor & Extension Specialist at Texas A&M University’s College of Agriculture & Life Sciences, Department of Agricultural Economics. His work focuses on agribusiness challenges, policy analysis, and applied economic research in agriculture. Previously, he held roles as Assistant Professor at Federal University of Itajubá (Brazil), consultant at PwC, and visiting scholar at institutions like the University of Chicago and MIT. Dr. Calil earned a B.S. in Agribusiness from Federal University of Viçosa (Brazil), an M.S. in Applied Economics from University of São Paulo, and a Ph.D. in Managerial Economics and Agribusiness from Texas A&M. He completed a MicroMaster at MIT and attended courses at IMPA and Babson College. His research interests span agricultural economics, financial economics, applied econometrics, and Brazilian agribusiness. Key areas include digital twin technology for farm management, crop-livestock integration systems, and policy impacts on greenhouse gas emissions. He leads Extension programs in the Coastal Bend region, emphasizing data-driven solutions for agribusiness. Notable contributions include studies on UAV-based irrigation efficiency, cattle price modeling under arid conditions, and soybean revenue insurance strategies. His work bridges academic research with practical applications for sustainable agricultural practices and policy development.

• Agricultural and Biological Sciences
• Earth and Planetary Sciences
• Environmental Informatics
• +۴ مورد دیگر

Hendrik Boogaard is a Researcher at Wageningen University & Research in the Department of Earth Observation and Environmental Informatics. His work focuses on agricultural productivity, remote sensing, and data management, with significant contributions to global crop monitoring systems like WorldCereal and WOFOST. Research Interests : Crop yield modeling, irrigation systems, cropland mapping, data harmonization, and machine learning applications in agriculture. Recent Projects : WorldCereal Reference Data Module, FAIR data guidelines for pig research, and agrometeorological indicator datasets. His publications emphasize improving agricultural forecasting and data infrastructure. He actively participates in workshops and webinars to advance global agriculture monitoring initiatives.

• Artificial Intelligence
• Horticulture
• Growers
• +۵ مورد دیگر

Feije de Zwart is a dedicated researcher at Wageningen University & Research, focusing on Horticulture Technology. With a robust presence in horticultural engineering, de Zwart contributes extensively to the fields of energy efficiency, greenhouse climate control, and sustainable crop production. Active in Artificial Intelligence and Horticulture research domains Current projects emphasize water resource management and hydrogen energy integration in greenhouses De Zwart's research spans Arid Zones , Crop Production , and Irrigation , with a strong emphasis on data-driven approaches and technological innovation in controlled-environment agriculture. Recent publications analyze energy-saving screen materials , dynamic climate control , and autonomous greenhouse systems , reflecting a trend toward AI integration and microclimate optimization.

Konstantinos G. Arvanitisمشاهده پروفایل

استاد

• Electrification
• Automation
• Digitalization in Agriculture
• +۲۳ مورد دیگر

Konstantinos G. Arvanitis is a Professor in the Department of Natural Resources Management & Agricultural Engineering at the Agricultural University of Athens, affiliated with the Agricultural Engineering Laboratory. He holds a PhD in Electrical and Computer Engineering from the National Technical University of Athens and has held diverse research and teaching roles across Greek institutions. Teaches courses on electrical engineering, sensors, automation, and AI in agriculture Supervised 2 PhD, 9 MSc theses, and guides 6 ongoing PhD projects Member of FEANI, EurAgEng, and IFAC Technical Committee (2000-2017) His research integrates IoT, machine learning, and cyber-physical systems into agricultural practices, focusing on precision agriculture and sustainability. He contributes to editorial boards of journals like Sensors and Energy , and has published over 342 technical works with significant citation metrics. His recent work explores quantum technologies, edge computing, and 3D printing in agricultural systems, emphasizing energy efficiency and educational innovation. He actively reviews for 130+ journals and conferences.

• Watershed Modeling
• Surface/Groundwater Interaction
• Water Quality
• +۳ مورد دیگر

Aaron Mittelstet is an Associate Professor in the Biological Systems Engineering Department at the University of Nebraska-Lincoln, with a courtesy appointment in the School of Natural Resources. His research focuses on watershed modeling, surface/groundwater interactions, water quality, and streambank erosion mitigation. Ph.D., Biosystems and Agricultural Engineering, Oklahoma State University (2015) M.S., Environmental Science, Oklahoma State University (2009) B.S., Zoology, Oklahoma State University (2000) His work integrates remote sensing, machine learning, and field data to address agricultural water sustainability and groundwater contamination. Recent publications emphasize groundwater nitrate remediation , streambed hydraulic conductivity , and climate change impacts on water resources . Scientific awards include: 2020 ASABE Superior Paper Award 2018 UNL College of Engineering Recognition for Highly Impactful Research Advised students winning multiple conference awards (2017, 2014) As Graduate Program Chair and Watershed Hydrologist, Mittelstet leads the UNL Fountain Wars Design Team and secures significant funding from USGS, NSF, and state agencies for projects like "Nitrate removal by floating treatment wetlands" and "Modeling groundwater transit time distributions" .

• Internet of Things
• Business Process Management
• Model-Driven Development
• +۷ مورد دیگر

Prof. Estefanía Serral Asensio is an Associate Professor at the Faculty of Economics and Business (FEB) at KU Leuven , with a primary affiliation to the Information Systems Engineering Research Group (LIRIS) in Brussels. She holds a highly international and interdisciplinary academic profile, having previously served as an Assistant Professor at Eindhoven University of Technology (2018), led the Semantic Knowledge Representation and Integration research group at the Technical University of Vienna (2012–2014), and contributed to the ProS Research Center at the Technical University of Valencia (until 2012). PhD in Computer Science (2011) Master in Software Engineering, Formal Methods, and Information Systems (2008) 5-year Bachelor in Computer Science (2006) Her research focuses on Internet of Things (IoT) , Business Process Management , and context-adaptive systems , with methodological expertise in Model-Driven Development , Conceptual Modeling , and ubiquitous systems . Key projects include Novel Process Mining Techniques for Discovering IoT-enhanced Business Processes (2022–2025), Novel Sustainability-Driven IoT Prescriptive Analytics for Improving Irrigation Practices in Fruit Trees (2021–2024), and foundational work on Runtime Evolution of IoT Processes (2018–2020). Her publications span top-tier venues like CAiSE , ER , SOSYM , and Internet of Things Journal . She teaches courses in ICT Strategy and Architecture , ICT Management , and Research Methodologies in Business Information Systems Engineering , contributing to academic programs at KU Leuven.

Joseph Amsiliمشاهده پروفایل

پژوهشگر

• Soil Health
• Soil Carbon Dynamics
• Sustainable Soil Management
• +۳ مورد دیگر

Joseph Amsili is a Senior Extension Associate and Program Director for the New York Soil Health Program at Cornell University's School of Integrative Plant Science, Department of Soil and Crop Sciences. His work focuses on advancing soil health through applied research, extension initiatives, and farmer engagement. Key roles include leading the Soil Health and Climate Resiliency Field Day series and the NY Soil Health Specialist Training Series. He developed the Production Environment Soil Health Benchmarks, adopted by NY State to align with the Soil Health and Climate Resiliency Act. His research emphasizes soil carbon dynamics, sustainable soil management, and cover crop impacts. Education: Ph.D. in Soil Science (Cornell University, 2024), M.S. in Soil Science with a Biogeochemistry minor (Penn State, 2018), B.S. in Earth Systems with a Soil Science minor (Cornell, 2013). Research interests include soil health assessment protocols, carbon sequestration, cover crop root traits, and agroecosystem resilience. He collaborates with institutions like Cornell AgriTech and the Lake Erie Research & Extension Lab, contributing to case studies like the Betts Farm cover cropping initiative. His work bridges academic research with practical applications to enhance agricultural sustainability and climate resilience.

• Environmental Engineering
• Water Resources Management
• Climate Change Adaptation
• +۷ مورد دیگر

Dr. Aavudai Anandhi is an Associate Professor of Biological Systems Engineering at Florida A&M University. Her research focuses on computational intelligence for modeling ecosystem processes at the food-energy-water (FEW) nexus, addressing environmental changes through systems engineering approaches. Key areas include artificial intelligence applications, spatial statistics, and machine learning for sustainable resource management. Education: Ph.D. in Water Resources and Environmental Engineering, Civil Engineering, Indian Institute of Science (2008) M.Sc. in Irrigation and Water Management, Indian Institute of Science (1995) B.Sc. in Agriculture, Anna University (1992) Research interests emphasize interdisciplinary sustainability solutions, climate change adaptation, and nexus frameworks for resilient ecosystems. Recent work explores land degradation, water footprint assessments, and habitat suitability modeling. Awards and recognitions include the 2018 Teacher of the Year (ASABE), 2017 Florida A&M Emerging Researcher Award, and multiple fellowships for educational innovation and research excellence. Her work bridges climate science with practical decision-making tools for agriculture and water resources. Key contributions include the Ogallala Aquifer Project (USDA Honor Award, 2013) and development of the DIEM framework for habitat threat analysis. She actively engages in educational outreach, creating tools like the 'Leaf Model for Watershed Teaching.'

• Meteorology
• Climate Modeling
• Radiative Transfer
• +۷ مورد دیگر

Chiel van Heerwaarden is an Associate Professor of Meteorology at Wageningen University & Research. His work focuses on cloud dynamics, radiative transfer, and their impacts on climate processes. He leads projects on solar irradiance variability, convective cloud organization, and atmospheric modeling. He has received a NWO Vidi grant for his research on cloud shadows and radiative effects. His research integrates machine learning, large-eddy simulations, and observational data to advance understanding of boundary layer processes and climate feedbacks. Key research areas include: irradiance variability under broken clouds, 3D radiative effects in shallow cumulus clouds, and the interaction between clouds and land surface processes. He collaborates on field experiments like CloudRoots-Amazon22 and Fesstval, advancing multiscale modeling approaches. His team addresses challenges in kilometer-scale Earth system modeling and wildfire-atmosphere interactions. Recent achievements include developing efficient radiative transfer parameterizations and analyzing extreme weather phenomena like heatwaves linked to soil drought. He advises five PhD candidates on topics ranging from convective self-aggregation to forest fire plumes. His work bridges computational science and observational data to improve climate projections and atmospheric understanding. Grants: NWO Vidi Grant (2019) Labs/Teams: Meteorology and Air Quality Group at Wageningen University Key Projects: CloudRoots-Amazon22, Shedding Light on Cloud Shadows, Real-Weather Large Eddy Simulation

• Public Transportation Electrification
• Electric Vehicle Drive Control
• Battery Degradation Modeling
• +۴ مورد دیگر

Dr. Syed M Nawazish Ali is a Research Fellow at RMIT University’s School of Engineering (City Campus, Australia) since July 2022. He has held academic roles at Macquarie University (Casual Academic, 2018–2020) and Aalborg University (Visiting Research Fellow, 2019–2020). His industry experience includes roles at Evenergi Pty Ltd and Magnetica Limited in Australia. Education: B.Sc. in Electrical Engineering, University of Engineering & Technology, Lahore (2013) M.Sc. in Electrical Engineering, COMSATS University, Lahore (2016) Ph.D. in Electrical Engineering, Macquarie University, Sydney (2022) Research Interests: Dr. Ali specializes in data analysis of public transportation electrification, electric vehicle (EV) drive control, battery degradation studies, optimization algorithms for battery health estimation, and grid impact of EV penetration. His work addresses thermal degradation in EV motor drives, fault-tolerant inverter designs, and sustainable integration of renewable energy with transport systems. Article Trends: His recent publications focus on harmonizing EV charging with smart grids, optimizing energy control via Machine Learning and genetic algorithms, and enhancing fault tolerance in power electronics. Key themes include thermal management of motor drives, multi-energy system integration, and decentralized energy trading models. Scientific Awards: Postgraduate Research Fund grant and DVC Research Commendation, Macquarie University (2020) 1st position in oral research presentation at Macquarie University’s Higher Degree Research Conference (2019) International Research Training Program Scholarship (Commonwealth Government-funded) for Ph.D. (2017) Prime Minister’s Laptop Scheme award (2016) Top of FA14-MSEE batch at COMSATS University (2016) KAKEZAI Scholarship at UET Lahore (2011–2013) Supervision & Grants: Available for Masters/PhD supervision in EV control systems. Secured grants including the Commonwealth Government’s International Research Training Program Scholarship and Macquarie University’s Postgraduate Research Fund. Key projects: C4NET Project 66 (Zero Emission Bus Trial) and EV battery degradation control research.

Wolfgang Schmidمشاهده پروفایل

پژوهشگر

• Sustainable Water Management
• Groundwater Hydrology
• Integrated Hydrological Modelling
• +۷ مورد دیگر

Dr Wolfgang Schmid is a Senior Research Scientist at CSIRO Land and Water in Australia, with adjunct faculty status at the University of Arizona. His work focuses on sustainable water management through advanced hydrological modeling and innovative groundwater research. Doctor of Philosophy in Hydrology (University of Arizona, 2004) Diplom in Geology (University of Tübingen, 1994) Diplom in Geography (University of Tübingen, 1994) Dr Schmid specializes in MODFLOW-OWHM code development, particularly the Farm Process module. His research spans groundwater allocation planning , land subsidence assessment , and coal seam gas impact analysis . He has led international projects in the Indus Basin (Pakistan) and Brahmani-Baitarni Basin (India), addressing food-water crises through integrated modeling. His software development work has been applied in 62 global projects, and he pioneered workshops on groundwater modeling in Australia, Germany, and Italy. Current interests include machine learning applications for aquifer compaction analysis and participatory modeling approaches for socio-economic scenario development. Scientific Awards: 2009 Kevin J Neese Award 2018 CSIRO Chairman's Medal Dr Schmid has contributed to environmental impact assessments for WaterCorp and national unconventional gas development policies. His career spans academic roles at the University of Arizona (2004-2012), consultancies in Germany/UAE (1994-1999), and 15+ years of CSIRO leadership in groundwater research.

Abhilash Chandelمشاهده پروفایل

استادیار

• Precision Agriculture
• Remote Sensing
• Machine Learning in Agriculture
• +۴ مورد دیگر

Abhilash Chandel serves as an Assistant Professor of Precision Agriculture Technologies and Data Management in the Department of Biological Systems Engineering at Virginia Tech, holding a 50% research and 50% extension appointment since December 2021. His work bridges advanced data analytics with practical agricultural solutions, focusing on optimizing crop production through technological innovation. Dr. Chandel's academic foundation includes: Ph.D. in Biological and Agricultural Engineering from Washington State University (2021) M.Tech. in Farm Machinery and Power Engineering from IIT Kharagpur (2015) B.Tech. in Agricultural and Food Engineering from IIT Kharagpur (2015) His research program centers on precision agriculture technologies, specializing in aerial and satellite remote sensing, machine learning applications for crop monitoring, and data-driven water stress detection. Key innovations include AI-enabled mobile tools for real-time field diagnostics, multispectral imagery analysis for disease identification, and evapotranspiration mapping systems for irrigation optimization. His work addresses critical challenges in water management, yield prediction, and sustainable crop production across diverse agricultural systems. Analysis of Dr. Chandel's publication record reveals consistent advancement in UAS-based crop monitoring, with increasing emphasis on AI integration for real-time decision support. His research spans multiple cropping systems including soybeans, peanuts, wheat, and specialty crops, demonstrating particular expertise in thermal-RGB fusion techniques for physiological stress assessment and machine learning frameworks for yield prediction. Recent work shows expanding applications in disease detection (anthracnose, nematodes) and precision nutrient management. Dr. Chandel's contributions have been recognized through multiple awards including: Graduate Student Leadership Award (WSU, 2021) Walter and Vinnie Hinz Outstanding Graduate Student Award (2020) Winner of Microsoft-WSU Digital Ag-Athon (2020) Multiple travel awards and departmental recognitions during graduate studies Through his extension appointment, Dr. Chandel develops practical resources for Virginia farmers including VCE publications on drone-based nematode assessment, peanut maturity mapping, and multispectral disease diagnosis. His work demonstrates strong collaboration with agricultural stakeholders to translate research into field applications, though specific details of graduate student mentoring or major grant funding were not documented in available sources.

Nejib Ben Hadj-Alouaneمشاهده پروفایل

استاد

• Software Engineering
• Cybersecurity
• Web Services
• +۶ مورد دیگر

Dr. Nejib Ben Hadj-Alouane is a Professor of Computer Engineering and Program Director for the Master of Science in Artificial Intelligence at AUD's School of Engineering. He previously held professorial roles at Tunisia's National Engineering School of Tunis (ENIT) and National School of Computer Sciences (ENSI), where he contributed to program modernization and PhD/Master’s program development. His industry experience includes R&D roles at Dow Chemical Corporation and software development for traffic simulation systems. He is an entrepreneur, co-founding a software startup focused on human resource management for mining operations. Education: Ph.D. in Computer Engineering, University of Michigan, Ann Arbor, USA MSE in Computer Engineering, University of Michigan, Ann Arbor, USA BSE in Computer Engineering, Syracuse University, USA Research Focus: Dr. Alouane's work spans cybersecurity concepts like non-interference and opacity, optimization of software and cloud/fog infrastructure (e.g., genetic algorithms for game server placement), and machine learning applications in smart agriculture. He emphasizes water conservation through adaptive irrigation systems and has authored over 90 peer-reviewed publications. Advising & Entrepreneurship: Mentor to over 20 PhD/Master’s graduates and founding member of a Canadian mining HR software startup. His entrepreneurial efforts include architectural leadership for industrial ERP integration in Tunisia.