Prof. Theodore Tsiligiridis | Remote Sensing | Best Researcher Award

Prof. Theodore Tsiligiridis | Remote Sensing | Best Researcher Award

Professor, Agricultural University of Athens, Greece

Professor Theodore A. Tsiligiridis is a distinguished academic and researcher in telecommunications, computer science, and agricultural informatics. With a strong background in mathematics, probability, and statistics, he has contributed extensively to mobile cellular systems, performance evaluation of networks, and the integration of digital technologies in rural development. His work in European projects like RACE, DELTA, ORA, and GoDigital has significantly influenced ICT applications in agriculture and food security. His contributions to sensor network technologies and intelligent systems for pest management further highlight his interdisciplinary expertise.

Publication Profile

🎓 Education

Professor Tsiligiridis holds a B.Sc. in Mathematics from the University of Athens, Greece. He later pursued an M.Sc. in Probability and Statistics at Manchester University, UK, followed by a Ph.D. in Telecommunications from the Department of Electronic and Electrical Engineering at the University of Strathclyde, Scotland, UK. His educational background provided a strong foundation for his pioneering research in digital communications and agricultural data analytics.

💼 Experience

Following his academic journey, Professor Tsiligiridis joined the Computer Science, Mathematics, and Statistical Division at the Agricultural University of Athens (AUA). Throughout his career, he has taken on various academic and public sector roles, coordinating multiple European research projects. His involvement in projects such as RACE I/II (Advanced Telecommunications), DELTA (Distance Learning), and EUROFARM (Farm Structure Survey) reflects his commitment to bridging ICT and agriculture. Additionally, his leadership in the GoDigital/EU project facilitated internet services and e-commerce practices in thousands of SMEs in rural Greece.

🏆 Awards and Honors

Professor Tsiligiridis’ research contributions have been widely recognized in academia and industry. He has played a pivotal role in multiple EU-funded initiatives, earning commendations for his efforts in advancing telecommunications, rural ICT integration, and agricultural informatics. His pioneering work in wireless sensor networks, artificial intelligence in pest control, and food security has been cited extensively, showcasing his impact in these fields.

🔬 Research Focus

His research spans mobile telecommunications, sensor networks, smart agriculture, and artificial intelligence applications in environmental monitoring. He has extensively worked on electronic trapping systems for pest management, the integration of statistical and geospatial data in small farming systems, and the development of AI-driven solutions for food security. His interdisciplinary approach has led to practical solutions that enhance agricultural sustainability and efficiency.

📝 Conclusion

Professor Theodore A. Tsiligiridis is a visionary academic whose contributions have significantly shaped the intersection of ICT, telecommunications, and agricultural data science. His extensive research, leadership in EU-funded projects, and innovative applications in environmental informatics make him a key figure in advancing digital transformations in rural and agricultural sectors. His impactful work continues to inspire future generations in computer science, engineering, and agritech innovation.

📚 Publications

Supporting the Role of Small Farms in the European Regional Food Systems: What Role for the Science-Policy Interface? (2021) – Global Food Security
🔗 Read Here | Cited by 12

Typology and Distribution of Small Farms in Europe: Towards a Better Picture (2018) – Land Use Policy
🔗 Read Here | Cited by 123

Electronic Traps for Detection and Population Monitoring of Adult Fruit Flies (Diptera: Tephritidae) (2018) – Journal of Applied Entomology
🔗 Read Here | Cited by 71

A Sentiment Lexicon-Based Analysis for Food and Beverage Industry Reviews: The Greek Language Paradigm (2020) – International Journal on Natural Language Computing
🔗 Read Here | Cited by 14

A Location-Aware System for Integrated Management of Rhynchophorus Ferrugineus in Urban Systems (2015) – Computers, Environment and Urban Systems
🔗 Read Here | Cited by 50

Pest Management Control of Olive Fruit Fly (Bactrocera Oleae) Based on a Location-Aware Agro-Environmental System (2012) – Computers and Electronics in Agriculture
🔗 Read Here | Cited by 53

Location-Aware System for Olive Fruit Fly Spray Control (2010) – Computers and Electronics in Agriculture
🔗 Read Here | Cited by 43

Plant Virus Identification Based on Neural Networks with Evolutionary Preprocessing (2010) – Computers and Electronics in Agriculture
🔗 Read Here | Cited by 37

A Memetic Algorithm for Optimal Dynamic Design of Wireless Sensor Networks (2010) – Computer Communications
🔗 Read Here | Cited by 30

Feature Extraction for Time-Series Data: An Artificial Neural Network Evolutionary Training Model for the Management of Mountainous Watersheds (2010) – Computers and Electronics in Agriculture
🔗 Read Here

Yexin Wang | Planetary remote sensing | Best Researcher Award

Assoc. Prof. Dr. Yexin Wang | Planetary remote sensing | Best Researcher Award

State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, China
📚 Dr. Yexin Wang is an Associate Professor at the State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS). With a Ph.D. in Measuring and Testing Technologies and Instruments from Beihang University, she specializes in planetary remote sensing, computer vision, artificial intelligence, and image processing. Dr. Wang has significantly contributed to China’s planetary exploration missions, including Chang’e-4, Chang’e-5, Chang’e-6, and Tianwen-1, through her expertise in environment perception, navigation, and localization.

Publication Profile

Education

🎓 Dr. Yexin Wang earned her Ph.D. in Measuring and Testing Technologies and Instruments from Beihang University, Beijing, in 2014. Her strong academic foundation underpins her advanced research in planetary exploration and image processing.

Experience

🌌 As a key researcher at AIRCAS, Dr. Wang has been actively involved in groundbreaking planetary exploration missions. Her projects span planetary remote sensing, pattern recognition, and environment perception for rovers used in China’s Chang’e and Tianwen-1 missions. She has also collaborated with international institutions like the National Institute for Nuclear Physics (INFN-LNF), contributing to global space exploration advancements.

Awards and Honors

🏆 Dr. Yexin Wang’s outstanding contributions have been widely recognized, with notable achievements in scientific research and innovation. Her leadership in high-profile projects and patents reflects her impactful role in planetary science and technology.

Research Focus

🔍 Dr. Wang’s research revolves around planetary remote sensing, computer vision, artificial intelligence, and image processing. She is particularly focused on environment perception, feature extraction, navigation, and localization for deep-space exploration rovers. Her work ensures precise mapping and analysis of extraterrestrial surfaces.

Conclusion

✨ Dr. Yexin Wang is a distinguished scientist and a driving force behind advancements in planetary exploration. Her dedication to innovation and collaboration has cemented her position as a leading expert in remote sensing and space technology.

Publications

YOLOv8-LCNET: An Improved YOLOv8 Automatic Crater Detection Algorithm and Application in the Chang’e-6 Landing Area (2025) – Sensors. Cited by [10 articles]. DOI: 10.3390/s25010243

Geological context of the Chang’e-6 landing area and implications for sample analysis (2024) – The Innovation. Cited by [15 articles]. DOI: 10.1016/j.xinn.2024.100663

High-Precision Visual Localization of the Chang’e-6 Lander (2024) – National Remote Sensing Bulletin. Cited by [8 articles]. DOI: 10.11834/jrs.20244229

A Catalogue of Impact Craters and Surface Age Analysis in the Chang’e-6 Landing Area (2024) – Remote Sensing. Cited by [20 articles]. DOI: 10.3390/rs16112014

Topographic Mapping Capability Analysis of Moderate Resolution Imaging Camera (MoRIC) Imagery of Tianwen-1 Mars Mission (2023) – Journal of Remote Sensing. Cited by [12 articles]. DOI: 10.34133/remotesensing.0040

A Generative Adversarial Network for Pixel-Scale Lunar DEM Generation from High-Resolution Monocular Imagery and Low-Resolution DEM (2022) – Remote Sensing. Cited by [18 articles]. DOI: 10.3390/rs14215420

Updated lunar cratering chronology model with the radiometric age of Chang’e-5 samples (2022) – Nature Astronomy. Cited by [45 articles]. DOI: 10.1038/s41550-022-01604-3

Progresses and prospects of environment perception and navigation for deep space exploration rovers (2021) – Acta Geodaetica et Cartographica Sinica. Cited by [22 articles]. DOI: 10.11947/j.AGCS.2021.20210290

Visual Localization of the Tianwen-1 Lander Using Orbital, Descent and Rover Images (2021) – Remote Sensing. Cited by [30 articles]. DOI: 10.3390/rs13173439

Enhanced Lunar Topographic Mapping Using Multiple Stereo Images Taken by Yutu-2 Rover (2021) – Photogrammetric Engineering and Remote Sensing. Cited by [25 articles]. DOI: 10.14358/PERS.87.8.567