جستجوی استاد راهنمای دانشگاهی

• Cyber Security
• Wireless Sensor Networks
• Internet-of-Things
• +۵ مورد دیگر

Professor Hadi Larijani serves as a full Professor in Cyber Security and Networks within the School of Computing, Engineering and Built Environment at Glasgow Caledonian University. His research portfolio spans secure wireless communications, Internet-of-Things security, and neural network applications in networking systems, contributing significantly to UN Sustainable Development Goals through technological innovation. His primary research interests include: Wireless Sensor Network Security Intrusion Detection Systems Long Range Wide Area Networks (LoRaWAN) 6G Communication Security EEG Sensing and Medical Device Validation Digital Twin Frameworks for Logistics Professor Larijani's recent publication trends (2024-2025) show strong focus on practical security implementations for emerging technologies, with significant work in EEG validation systems, logistics optimization, antenna design, and VPN protocol analysis. His research bridges theoretical security frameworks with real-world applications across healthcare, agriculture, and transportation sectors. Notable research activities include: Principal Investigator for Market Assessment of Wearable Smart Wireless EEG Headset Co-Investigator for Secure 6G Enabled Realtime Joint Communication and Sensing Testbed Co-Investigator for Ghanaian tomato irrigation improvement project Co-Principal Investigator for British Academy Researcher at Risk - Ukraine Professor Larijani supervises research students with three documented supervised works, and maintains active collaborations across multiple institutions as evidenced by multi-author publications and international projects. His research group appears focused on practical security implementations for next-generation communication systems and IoT applications.

• Water Resources Management
• Sustainable Irrigation
• Photovoltaic Energy Systems
• +۳ مورد دیگر

Juan Martínez López is a researcher in the Department of Engineering at the University of Almería, where he leads projects focused on sustainable agricultural engineering. His core research integrates water resource management, renewable energy applications, and precision irrigation technologies for greenhouse farming systems. He coordinates the 'Ingeniería Rural' research group specializing in developing efficient solutions for Mediterranean agriculture. His research interests span: Optimization of photovoltaic-powered irrigation systems Sustainable water management using blended conventional/desalinated sources Energy-efficient greenhouse climate control Hydraulic system modeling and optimization Agrivoltaic integration in protected cultivation Publication analysis reveals consistent focus on water-energy-food nexus solutions, with recent work advancing: Machine learning optimization of irrigation networks Solar radiation distribution modeling in agrivoltaic systems Water productivity enhancement using non-conventional resources Hydrophobic coating applications for hydraulic efficiency He leads significant research initiatives including: LIFE-DESEACROP (€189k): Desalinated seawater for soilless crops H2020 TheGreefa (€206k): Thermochemical fluids in greenhouses PID2020-118492RB-C21 (€118k): Optimized hydroponic fertigation AGL2017-85857 (€72k): Sustainable desalinated water use in citrus His patented innovations include automated soil evaporation measurement devices and he contributes to developing commercial systems like Turbofog misting technology for intensive greenhouse operations.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Associate Professor Biplob Ray serves as Head of Course for Postgraduate ICT Courses at the School of Engineering and Technology, Central Queensland University. With over 15 years of academic experience, he has progressed from ICT Lecturer (2015-2019) to Senior Lecturer (2020-2022) and currently holds the position of Associate Professor (2023-Present). His research is centered at the Centre for Intelligent Systems within the Institute for Future Farming Systems, where he leads multidisciplinary projects with significant industry and government funding. Dr. Ray holds a PhD from Deakin University (2015), Master of Information Technology from University of Ballarat (2008), and Graduate Certificate in Education Tertiary Teaching (2013). His academic journey began with a BSEng in Computer Engineering, followed by professional experience as Analyst Programmer at Telstra and Systems Programmer in the Philippines. His research focuses on the intersection of Artificial Intelligence, Internet of Things, and Cybersecurity, with practical applications spanning smart farming, environmental monitoring, and energy systems. His multidisciplinary approach has secured over $3 million in research funding from Australian federal government and industry sources since 2016, including significant projects like the $1.28 million 'Intelligent, Adaptable, and User-Friendly Weed Management system' and the $513,268 'AI-SSPCAS' project with CSIRO Data61. Dr. Ray's publication record shows consistent high-quality output with approximately 15-20 papers annually, primarily in IEEE and Elsevier journals. His work demonstrates strong translational impact, with multiple projects featured in media outlets including ABC News, Channel 7, and Australian Tree Crop magazine. His research has directly contributed to practical implementations such as smart irrigation systems for Cairns Regional Council and cybersecurity solutions for small businesses. 2025 Australian Awards for University Teaching (AAUT) 2024 Vice-Chancellor's Award of Commendation for Outstanding Researcher (Mid-Career) 2023 Vice-Chancellor's Award for Exemplary Practice in Learning and Teaching 2021 Vice-Chancellor's Award for Exemplary Practice in Learning and Teaching (Tier 1) 2019 Vice-Chancellor's Award for Exemplary Practice in Learning and Teaching 2016 'RISING STAR of 2016' award from CQUniversity Dr. Ray currently supervises fifteen research students across PhD and Master's programs, with active grants supporting multiple research positions. His leadership extends to professional service as Vice-Chair of IEEE Victorian Section (2024-2025), former Chair of IEEE Victoria IoT Community, and member of the Engineering Institute of Technology Course Advisory Committee. The Centre for Intelligent Systems fosters interdisciplinary collaboration with regular seminars, industry partnerships, and international research connections, providing students with rich opportunities for professional development.

Eusebio Ingol Blancoمشاهده پروفایل

استادیار

• Hydrological Modeling
• Water Resources Systems Planning and Management
• Climate Change Impacts on Water Resources
• +۶ مورد دیگر

Dr. Eusebio Ingol Blanco is an Assistant Professor in the Department of Civil Engineering at New Mexico State University's College of Engineering. He joined NMSU in 2024 after serving as a Professor in the Department of Water Resources at the National Agrarian University La Molina in Lima, Peru from 2019-2023. Dr. Ingol Blanco has extensive international experience in water resources engineering, with previous appointments at Pontifical Catholic University of Peru, San Ignacio de Loyola University, and the University of Texas at Austin. His educational background includes: Ph.D. in Civil Engineering (Water Resources Engineering), The University of Texas at Austin, 2011 M.S. in Hydrosciences, Colegio de Postgraduados, Mexico, 2003 B.S. in Agricultural Engineering, Pedro Ruiz Gallo National University, Peru, 1996 (First-Place Honors) Dr. Ingol Blanco's research focuses on water resources engineering with particular expertise in hydrological modeling, climate change impacts, groundwater systems, flood hazard analysis, and the application of artificial intelligence to water resources problems. His work often integrates remote sensing data and advanced computational methods to address challenges in arid and semi-arid regions, particularly in South America. He has published extensively on topics including groundwater management in the Atacama Desert, climate change impacts on Andean watersheds, and the development of machine learning approaches for hydrological prediction. Dr. Ingol Blanco has received recognition as a Former Fellow of the Ford Foundation International Fellowships Program and is an Associate Member of the American Society of Civil Engineering (ASCE) and the Environmental & Water Resources Institute (EWRI). He is also a Member of the Peruvian Association of Hydraulic Engineering and Environmental (APIHA). As an educator, Dr. Ingol Blanco teaches courses in water resources systems analysis, groundwater hydrology, and irrigation engineering. He has extensive teaching experience from his time at multiple Peruvian universities, where he taught courses in surface hydrology, hydraulic models, fluid mechanics, and water resources systems analysis at both undergraduate and graduate levels. Dr. Ingol Blanco leads the IngWater research team, which focuses on developing innovative approaches to water resources management through the integration of hydrological modeling, remote sensing, and artificial intelligence.

• Agronomy
• Agrometeorology
• Agroclimatology
• +۹ مورد دیگر

Simone Orlandini is a Full Professor and Department Director at the Department of Agricultural, Food, Environmental and Forestry Sciences and Technologies (DAGRI) at the University of Florence. He holds multiple leadership positions including President of the Collegio dei Direttori di Dipartimento dell'Università di Firenze, Vice President of Conferenza Nazionale per la Didattica Universitaria di AG.R.A.R.I.A, and Director of the Centro di Bioclimatologia. His extensive affiliations include editorial roles as Field Editor for the International Journal of Biometeorology and Director of the Italian Journal of Agrometeorology, along with membership in numerous scientific committees and societies. Professor Orlandini's research focuses on agronomy, agrometeorology, and agroclimatology with particular emphasis on soil-plant-atmosphere interactions, climate change impacts on agriculture, sustainable farming practices, and precision agriculture technologies. His work examines the dynamics between biotic and abiotic factors in cropping systems, with special attention to modeling techniques, remote sensing applications, and decision support systems for agricultural management. A significant portion of his research addresses water and carbon footprint assessments, renewable energy in agriculture, and climate change adaptation strategies. His recent publications (2024-2025) demonstrate a strong focus on sustainable agricultural practices, with particular attention to soil health improvement through cover crops, precision irrigation technologies using electrical resistivity tomography, nitrogen management for greenhouse gas reduction, and wheat variety selection for dryland environments. His research spans both fundamental scientific inquiry and practical applications for farmers, with studies conducted in diverse environments including Italy, Afghanistan, and West Africa. Ordinary Academic of Accademia dei Georgofili di Firenze Former chair of COST Action 734 CLIVAGRI (2006-2011) National delegate to World Meteorological Organization's Commission for Agricultural Meteorology Extensive editorial service for major international journals Professor Orlandini actively supervises graduate students as a member of the PhD Program in 'Scienze Agrarie e Ambientali' at the University of Florence and has evaluated numerous research projects for national and international funding agencies. His leadership in the Centro di Bioclimatologia provides students with opportunities to work on cutting-edge research in climate-smart agriculture, with access to both field and laboratory facilities for conducting innovative agricultural research.

Julian Szymańskiمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Natural Language Processing
• Blockchain Technology
• +۷ مورد دیگر

Dr. hab. inż. Julian Szymański serves as Associate Professor at the Department of Computer Architecture within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. He concurrently holds the position of Deputy Director at the Industrial Doctoral School, demonstrating dual leadership in academic instruction and doctoral program administration. His research spans artificial intelligence applications across diverse domains including sustainable agriculture, healthcare monitoring, and privacy-preserving systems. Key focus areas include natural language processing, blockchain implementation for sensitive data services, and multi-modal signal analysis. His work bridges theoretical computer science with practical applications in agritech, medical diagnostics, and secure service provision. Recent publications reveal a strong trend toward interdisciplinary AI solutions, particularly in sustainability (2025 smart farming chapter), human-AI alignment techniques, and privacy frameworks compliant with GDPR. His respiratory rhythm classification research demonstrates methodological rigor through multi-sensor data fusion. Academic contributions include: ERASMUS+ funded Modena MoltiMondi project as project manager Development of EditPrefs methodology for cost-effective preference dataset creation Gold-standard multi-genre datasets for entity linking evaluation As an educator, he has taught 185 courses since 2018 across artificial intelligence, deep learning, and intelligent information systems, mentoring students through diploma projects. His laboratory work focuses on IoT-based healthcare frameworks and blockchain implementations for privacy-sensitive services, with current projects exploring AI-driven sustainability solutions.

• Hydrology
• Water Resources
• Unsaturated Flow and Transport
• +۷ مورد دیگر

Karsten Høgh Jensen is a Professor of Hydrology and Water Resources at the University of Copenhagen's Department of Geosciences and Natural Resource Management. He has held this position since 2002, following previous professorships at the Technical University of Denmark (1999-2002). His extensive academic career includes serving as Director of the Center for Catchment Hydrology (HOBE) from 2007-2021 and Director of the International Research School of Water Resources (FIVA) from 2002-2014. Dr. Jensen's research focuses on hydrological processes across multiple scales, with particular expertise in unsaturated flow and transport, multiphase flow and remediation, groundwater flow, catchment modeling, and climate change impacts. His work integrates experimental, theoretical, and modeling approaches to address complex hydrological challenges. Recent research demonstrates increasing interdisciplinary connections, including applications of machine learning to hydrological problems and collaborations with medical researchers examining field conditions and sports injuries. His scholarly impact is evidenced by over 365 research outputs with an H-index of 53 (Google Scholar) and more than 8,650 citations. Dr. Jensen currently serves as Co-Editor of Vadose Zone Journal and has held editorial positions for Water Resources Research, Journal of Hydrology, and Hydrogeology Journal. Helmholtz International Fellow Award (2018) G.A. Andrup's Groundwater Prize ($4,000) (2012) Overseas Outstanding Scholar, China (2010) R.W. Jorck's award for extraordinary scientific achievements ($22,000) (1999) Dr. Jensen has secured substantial research funding, including multiple grants from the Danish Fellowship Center (totaling over 25 million DKK for projects in Uganda, South Africa, and India), the Villum Foundation (64.8 million DKK), and EU Innovative Training Networks. He has supervised 16 postdocs, 42 PhD students, and 125 MSc students, demonstrating his commitment to developing the next generation of water scientists. His current service includes membership on the standing expert committee for the Global Water Futures Observatories in Canada and evaluation committees for Innovation Fund Denmark and the Canadian Foundation for Innovation.

Markus Quirmbachمشاهده پروفایل

استاد

• Urban water management
• Hydrology
• Hydraulic engineering
• +۷ مورد دیگر

Prof. Dr. Markus Quirmbach is a Professor of Civil Engineering at Ruhr West University of Applied Sciences, specializing in urban water management, hydrology, and hydraulic engineering. He serves as the responsible coordinator (together with Prof. Dr. Mark Oelmann) of the inter-institute research focus 'Water Economics and Water Management' at HRW and is a professoral member of the Doctoral College NRW since 2021. His research interests span urban water management, flood risk management, climate change adaptation in water systems, radar rainfall data applications, and AI-based flood prediction. Prof. Quirmbach leads several major research projects including RAIN-DL (2025-2028, funded by DFG), BoRSiS (2021-2024, funded by BMBF), and KIWaSuS (2021-2024, funded by BMBF), focusing on innovative solutions for climate-adaptive urban drainage and early warning systems. His recent publications demonstrate a strong focus on integrating artificial intelligence with traditional hydrological modeling, particularly in developing spatiotemporal deep learning approaches for urban flood forecasting and creating dynamic hazard mapping systems. His work increasingly emphasizes blue-green infrastructure solutions, particularly the soil-pipe system ('Boden-Rohr-System') as a multifunctional approach to urban climate adaptation. Prof. Quirmbach has secured significant research funding totaling over €5 million in the past five years and maintains active collaborations with water utilities, municipal authorities, and research institutions across Germany. His research group provides students with opportunities to work on cutting-edge projects that address pressing challenges in urban water management under climate change. As an educator, he teaches courses including Water Engineering I (Hydromechanics, Hydraulic Engineering and Hydrology), Water Management II (Urban Water Management), and specialized modules on canal network calculation and Geographic Information Systems in Water Management for multiple degree programs at HRW.

Jeffrey Dellosaمشاهده پروفایل

استاد

• Renewable Energy
• Solar Photovoltaics
• Energy Engineering
• +۲ مورد دیگر

Jeffrey Dellosa serves as a Professor at Caraga State University in the College of Engineering and Geosciences, Butuan, Philippines. His academic career focuses on renewable energy research with particular emphasis on solar photovoltaic systems for rural development applications in the Philippines. He holds a Doctor of Engineering degree specializing in Renewable Energy from Ateneo de Davao University (2019-2023). Education: Doctor of Engineering in Renewable Energy, Ateneo de Davao University (2019-2023) Professor Dellosa's research spans multiple domains within renewable energy engineering, with particular expertise in solar photovoltaics, energy conversion systems, and power generation technologies. His work bridges theoretical research with practical applications for rural electrification and sustainable development. Current research directions include floating solar photovoltaic systems, IoT-based energy monitoring, and renewable energy integration for healthcare facilities. Analysis of his publication record reveals a strong emphasis on practical implementation of renewable energy solutions in the Philippine context, with increasing focus on interdisciplinary approaches combining AI, IoT, and traditional energy engineering. Recent publications demonstrate a shift toward comprehensive system design that addresses both technical and socioeconomic aspects of renewable energy deployment in rural communities. Professor Dellosa leads research in Nelson Jr Enano's Lab and collaborates extensively with regional institutions on renewable energy projects. His work has resulted in 67 publications with significant readership (60,773 reads) and citations (286 citations), demonstrating impactful contributions to the field of renewable energy engineering in Southeast Asia.

• Deep learning
• Computer vision
• Remote sensing
• +۴ مورد دیگر

Dimitri Pierre Johannes Gominski is an active Assistant Professor in the Department of Geosciences and Natural Resource Management within the Faculty of Science at the University of Copenhagen. His research bridges computer vision and environmental science, with a focus on applying deep learning techniques to satellite imagery for environmental monitoring. He leads the C-Trees project aimed at mapping individual trees globally, with recent work spanning multiple continents including Europe, India, Rwanda, and the Peruvian Amazon. Education: PhD in Computer Vision (2018-2021) from École Centrale Lyon and IGN Paris MS in Electrical Engineering (2012-2017) from INSA Lyon Gominski's research focuses on making deep neural networks work in real-world conditions where perfect experimental setups are unavailable. His primary research interests include deep learning, generalization techniques, and image retrieval/detection/segmentation specifically applied to environmental monitoring. His work demonstrates expertise in adapting computer vision approaches for practical environmental applications, particularly in forest monitoring and land use analysis. Analysis of his recent publications (2024-2025) reveals a strong emphasis on using satellite imagery, particularly PlanetScope data, for environmental monitoring across diverse geographical contexts. His research shows interdisciplinary collaboration spanning computer science, environmental science, and geography, with applications in forest conservation, agricultural monitoring, and climate change mitigation. The publications demonstrate methodological innovation in domain adaptation for deep learning models applied to environmental monitoring challenges. Research Leadership: C-Trees project: Mapping individual trees from satellite imagery across Europe with plans for global expansion Active collaborations with researchers across multiple countries and institutions Gominski maintains an active research profile with multiple high-impact publications in 2024-2025 across journals including Nature Sustainability, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, and Communications Earth & Environment. His work has received attention from policy sources, news outlets, and academic communities as evidenced by references in policy documents, media coverage, and social media discussions.

Leander Heldringمشاهده پروفایل

دانشیار

• Economic Development
• Political Economy
• Economic History
• +۴ مورد دیگر

Leander Heldring is an Associate Professor of Managerial Economics & Decision Sciences at the Kellogg School of Management, Northwestern University. He joined Kellogg in 2020 after receiving his PhD in economics from the University of Oxford. His research spans economic development, political economy, and economic history with particular focus on government's role in facilitating or stifling innovation, entrepreneurship, and growth. His research interests include: Economic Development Political Economy Economic History Government Origins and Evolution Innovation and Entrepreneurship Growth Patterns Heldring's scholarly work examines historical government formation, economic effects of historical events like the English Parliamentary Enclosures and the Dissolution of English Monasteries, and long-term impacts of colonialism in Africa. His research combines historical data with economic analysis to understand how institutions shape economic outcomes over time. He has published in top journals including American Economic Review, Quarterly Journal of Economics, and Review of Economic Studies. Heldring has received media coverage for his work in outlets such as the Economist magazine, VOXeu.org, and Forbes. His research has significant implications for understanding historical roots of modern economic development and government structures. Contact information: Email: leander.heldring@kellogg.northwestern.edu Website: http://www.leanderheldring.com/ Twitter: @LeanderHeldring