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• Statistics
• Big data analytics
• Spatial statistics
• +3 more

Laura Šaltytė-Vaisiauskė is an Associate Professor and currently serves as Vice-Rector for Research and Innovation at Klaipėda University, Lithuania. She is affiliated with the Department of Informatics and Statistics within the Faculty of Marine Technology and Natural Sciences, with additional connections to the Faculty of Social Sciences and Humanities and the Institute of Baltic Region History and Archaeology. Dr. Šaltytė-Vaisiauskė defended her doctoral thesis in Mathematics at Vilnius University in 2013 and has since established herself as a versatile researcher with publications spanning multiple disciplines while maintaining core expertise in statistical methodology. Her research interests center around Statistics, Big data analytics, and Spatial statistics, with significant contributions to Image recognition and Discriminant analysis. Analysis of her publication record reveals a strong focus on developing advanced statistical methods for spatio-temporal data analysis, particularly using Hidden Markov Models with spatial weighting. Her work demonstrates increasing interdisciplinary reach, extending from pure statistical methodology to applications in finance, healthcare, energy systems, and social sciences. Recent publications show her applying statistical techniques to diverse problems including financial volatility modeling, electric vehicle optimization, and even therapeutic interventions for depression. Her scholarly output demonstrates consistent productivity across multiple domains, with publications in reputable journals and conference proceedings. Her work shows particular strength in developing methodological innovations with practical applications, often collaborating across disciplinary boundaries to address complex real-world problems. As Vice-Rector for Research and Innovation, Dr. Šaltytė-Vaisiauskė oversees research strategy and development at Klaipėda University. Her leadership role complements her active research career, allowing her to influence both the direction of her own work and the broader research landscape at her institution. Her recent projects include studies on the impact of COVID-19 restrictions on businesses in the Klaipėda region, demonstrating her commitment to addressing timely societal challenges through rigorous research.

• Fuel Cell Technologies
• Battery Technologies
• Solar Energy Systems
• +3 more

Professor Arunachala Mada Kannan is a distinguished academic at the Polytechnic School, Ira A. Fulton Schools of Engineering, Arizona State University . With over 30 years of experience in low-temperature fuel cells, battery technologies, and solar energy systems , he has made significant contributions to clean energy research . His career spans roles as Engineering Graduate Program Chair (since 2017), Professor (since 2014), and Associate Professor (2005-2014). Education : Ph.D. in Batteries & Fuel Cells (Indian Institute of Science, 1990), M.S. in Chemistry (Madurai Kamaraj University, 1985), B.S. in Chemistry (Madurai Kamaraj University, 1983), MBA in Statistical Process Control (Madras University, 1999) Dr. Kannan's research focuses on: Fuel Cell Technologies (PEMFC, DMFC, AFC) Battery Systems (Li-ion, SLA, solid-state) Solar Energy (DSSC, CSP) Green Hydrogen Production Nanomaterials for Energy Applications His recent publications highlight advancements in: Photoelectrochemical water splitting using doped TiO2 nanostructures Medium entropy alloys as bifunctional electrocatalysts Graphene-based composites for supercapacitors and metal-air batteries Surface patterning techniques for enhanced catalytic performance Thermal management systems using phase change materials Scientific Recognition : Fulbright Specialist (2011-2015) ASU-CTI Dean’s Awards for Service (2013) and Creative Activities (2011) Marquis WHO’s WHO in America (2009) Best Employee Award at Exide Industries (1998) Research Funding includes projects from: SRP Salt River Project IRENA Argonne National Laboratory US Civil Research & Development Foundation His work bridges fundamental materials science with applied energy solutions , emphasizing sustainable technology development for global energy challenges.

• Agricultural Robotics
• Precision Agriculture
• Pesticide Application Systems
• +5 more

Julián Sánchez-Hermosilla López is a Professor in the Department of Engineering at the University of Almería, Spain, specializing in agricultural robotics and precision agriculture technologies. His research focuses on developing autonomous systems for greenhouse operations, particularly in pesticide application, crop monitoring, and structural analysis of agricultural facilities. His research interests span agricultural robotics, precision agriculture, electrostatic spraying technology, UAV photogrammetry, and mechatronic systems for agricultural applications. Professor Sánchez-Hermosilla leads research in the 'Tecnología de la producción agraria en zonas semiáridas' group, focusing on technological solutions for Mediterranean agricultural challenges. His recent publication activity (2020-2024) demonstrates strong productivity in high-impact journals, with multiple Q1 publications in Computers and Electronics in Agriculture, Smart Agricultural Technology, and Science of the Total Environment. His work shows consistent focus on practical agricultural robotics solutions for greenhouse environments. Scopus h-index: 19 Web of Science h-index: 17 Scopus i10-index: 25 Web of Science i10-index: 22 Professor Sánchez-Hermosilla has served as Principal Investigator on numerous research projects funded by Spanish agencies, with total funding exceeding €500,000 in the past decade alone. His current research includes autonomous greenhouse monitoring vehicles and optimization of natural/artificial pollination in olive crops. He directs the research activities of multiple PhD students and has supervised numerous theses in agricultural engineering, with a particular focus on UAV applications, electrostatic spraying systems, and greenhouse structural analysis.

Gary RobersonView profile

Professor

• Precision Agriculture
• Unmanned Aerial Vehicles
• Agricultural Equipment Calibration
• +3 more

Gary Roberson is a Professor in the Department of Biological & Agricultural Engineering at North Carolina State University's College of Agriculture and Life Sciences. With a publication history spanning over three decades since 1992, he specializes in precision agriculture technology, agricultural equipment calibration, and disaster recovery for farm machinery. His work bridges engineering principles with practical farming applications. Dr. Roberson's research focuses on practical technological applications for agricultural operations. His expertise encompasses precision farming systems, unmanned aerial vehicles for agricultural monitoring, proper calibration of spraying equipment, and recovery methods for flood-damaged farm machinery. He has made significant contributions to crop production guides, particularly for soybeans and peanuts, helping farmers optimize planting and harvesting schedules based on weather patterns and equipment capabilities. His recent publications demonstrate a clear progression toward integrating drone technology with traditional farming practices. He has published extensively on UAV applications in precision agriculture, equipment calibration techniques, and disaster recovery protocols. Rather than focusing on theoretical aspects, his work emphasizes practical implementation that farmers can immediately apply to improve efficiency and reduce losses. Dr. Roberson has collaborated with numerous researchers across agricultural disciplines, contributing to comprehensive guides that serve as essential resources for farmers, extension agents, and agricultural professionals throughout North Carolina. His publications consistently address real-world challenges faced by farmers, from equipment calibration to disaster recovery, making his work highly valued in the agricultural community.

Jesus Gonzalez FeliuView profile

Professor

• Sustainable urban logistics
• Demand modeling and forecasting
• Transport optimization
• +8 more

Jesus Gonzalez Feliu is a Professor of Supply Chain Management at Excelia Business School in La Rochelle, France. He holds a PhD in Computer and Systems Engineering from the Politecnico di Torino (Italy) and an Habilitation à Diriger des Recherches from the University of Paris Est. His academic journey includes positions as Research Engineer at CNRS, Assistant Professor at Ecole des Mines de Saint-Etienne, and current Professor at Excelia Business School since 2020. Habilitation à diriger des recherches, Université Paris Est, France (2016) Doctorat en Génie informatique et des systèmes, Politecnico di Torino, Italie (2008) Master en Transport et mobilité durable, Politecnico di Torino, Italie (2004) Professor Gonzalez Feliu specializes in sustainable urban logistics, demand modeling and forecasting, transport optimization, sustainable food logistics, humanitarian logistics and resilience, and group decision-making processes. His research often focuses on data production and demand estimation, interactive problem solving, and scenario evaluation in logistics contexts. He has made significant contributions to understanding urban freight systems, particularly in developing sustainable solutions for cities in both developed and developing countries. His extensive publication record includes over 75 peer-reviewed journal articles, 2 monographs, and guest editorship of more than 10 special journal issues. His most recent work demonstrates a continued focus on spatial accessibility in logistics warehouses, urban goods transport demand estimation, and sustainable supply chain solutions, with particular attention to applications in developing countries and humanitarian contexts. Chair of Urban Logistics Lab Scientific Committee, Deakin University, Melbourne (2019-2023) Member, Urban Mobility Observatory, Universidad del Pacifico, Lima (2020-present) Professor Gonzalez Feliu has supervised numerous research projects and collaborations across Europe, Latin America, and Australia. His work bridges theoretical modeling with practical applications, particularly in developing decision support systems for urban logistics planning and management. His international perspective is reflected in his research on logistics systems in diverse contexts, from European cities to developing economies in Latin America.