Dr Nikiforos Samarinas ,Aristotle University of Thessaloniki , Greece
Dr Nikiforos Samarinas, born on April 24, 1989, in Larisa, Greece, is a dedicated researcher and educator specializing in water resources management and environmental sciences. He holds a Ph.D. in Water Resources Management from Aristotle University of Thessaloniki and is proficient in advanced technologies like GIS, MATLAB, Python, and AutoCAD. Nikiforos has contributed extensively to European research programs focusing on climate change adaptation, soil monitoring, and sustainable agriculture. His work integrates Earth observation data with machine learning techniques to address environmental challenges. Currently based in Thessaloniki, he serves as a Sessional Assistant Professor at Aristotle University, teaching courses in irrigation networks and land reclamation.
Publication Profile
Google Scholar
Education
Dr Nikiforos Samarinas completed his academic journey with a Ph.D. in Water Resources Management, an M.A.Sc. in Geoinformation, and a B.Sc. in Environmental Science/Oceanography. He earned certifications including C2 Proficiency in English, ECDL Expert, and specialized training in ArcGIS, MATLAB, Python, and AutoCAD. His doctoral thesis focused on water balance in free surface aquifers using fuzzy logic, showcasing his expertise in environmental modeling and data analysis.
Experience
With a robust research background, Nikiforos has been pivotal in multiple European Union and international projects. His roles include managing big data and applying machine learning for soil organic carbon mapping (ESA project) and developing AI-driven systems for agricultural carbon capture (EIFFEL project). He has contributed significantly to water quality assessment (AquaNEX) and soil monitoring (e-shape) initiatives. Nikiforos also serves as a Sessional Assistant Professor at Aristotle University, teaching and supervising projects related to irrigation networks and drainage systems.
Research focus
Nikiforos focuses on integrating Earth observation data and advanced analytics to address challenges in water resources management, soil science, and environmental sustainability. His research spans the development of digital tools for climate change adaptation, including AI models for agricultural decision-making and soil health assessment. Nikiforos is particularly interested in using remote sensing techniques and machine learning algorithms (such as convolutional neural networks and deep learning) to improve the accuracy and efficiency of environmental monitoring and management practices.
Publication Top Notes
“Estimation of sugar content in wine grapes via in situ VNIR-SWIR point spectroscopy using explainable artificial intelligence techniques” 🍇
“Evaluation of a micro-electro mechanical systems spectral sensor for soil properties estimation” 🌱
“Synergistic use of earth observation driven techniques to support the implementation of water framework directive in Europe: a review” 🌍
“Fuzzy linear regression of rainfall-altitude relationship” 🌧️
“In situ grape ripeness estimation via hyperspectral imaging and deep autoencoders” 🍷
“Fuzzy numerical solution to horizontal infiltration” 💧
“Fuzzy solution of nonlinear Boussinesq equation” 📈
“Cognitive soil digital twin for monitoring the soil ecosystem: a conceptual framework” 🌱
“Improved estimations of nitrate and sediment concentrations based on SWAT simulations and annual updated land cover products from a deep learning classification algorithm” 🌊
“Discharge estimation for trapezoidal open channels applying fuzzy transformation method to a flow equation” 💦