Anastasia Kakouri | Environmental Health | Young Scientist Award

Ms. Anastasia Kakouri | Environmental Health | Young Scientist Award

PhD Candidate, Department of the Environment/University Of The Aegean, Greece

Anastasia Kakouri is a highly accomplished senior GIS Specialist and PhD researcher specializing in atmospheric pollution and population exposure at the National Observatory of Athens. With a profound background in geography and geoinformatics, she has applied her expertise to spatial analysis, remote sensing, and machine learning for air quality prediction and assessment. Her research integrates high-resolution emission inventories, socio-economic data, and health parameters to address environmental challenges at urban and intra-urban scales. She is actively contributing to the intersection of air quality, sustainability, and environmental justice. As a funded researcher by the Hellenic Foundation for Research and Innovation (HFRI), Kakouri’s work is influencing the management of environmental risks in Greece. Her multi-disciplinary approach is fundamental to developing tools for informed decision-making in public health and urban planning.

Profile

Scopus

Education 

Anastasia Kakouri holds a Master’s degree (M.Sc.) in Geography and Applied Geoinformatics from the University of the Aegean, Greece, where she specialized in Applied Geoinformatics for the Management of the Natural Environment and Risks. This advanced education in geospatial technologies laid the foundation for her expertise in atmospheric pollution and spatial analysis. Prior to her Master’s, she earned a Bachelor’s degree (BSc) in Environmental Science from the same university’s Department of Environment. Her academic journey was marked by a focus on integrating geoinformatics tools for environmental monitoring and risk management. Kakouri’s ongoing PhD research, funded by the Hellenic Foundation for Research and Innovation (HFRI), aims to advance the understanding of air quality and population exposure, contributing to sustainable urban development and public health policies. Her educational background and research skills form a strong base for innovative solutions in environmental science and geoinformatics.

Research Focus

Anastasia Kakouri’s research focuses on the synergy of Earth observations and geoinformatic tools to address urban atmospheric pollution and population exposure. Her primary interest lies in the application of machine learning techniques to predict air quality and assess the health impacts of pollution on populations, with a specific emphasis on urban and intra-urban environments. Kakouri is actively involved in the development of high-resolution emission inventories and the integration of remote sensing data with geostatistical models to improve spatial analysis of air pollution. Her work explores the connections between air quality, public health, and socio-economic parameters, aiming to create tools for informed decision-making at local and regional levels. Kakouri also investigates sustainability and environmental justice, ensuring that her research not only improves urban planning and environmental monitoring but also addresses health inequalities in pollution-affected areas. Her studies contribute to the broader understanding of air pollution dynamics in relation to human well-being.

Publications 

  • “Spatiotemporal modeling of long-term PM concentrations and population exposure in Greece, using machine learning and statistical methods” 🌍📊
  • “Analysis of secondary inorganic aerosols over the greater Athens area using the EPISODE-CityChem source dispersion and photochemistry model” 🌫️💨
  • “NOx emissions by real-world fresh and old asphalt mixtures: Impact of temperature, relative humidity, and UV-irradiation” 🚗🌞
  • “Enhancing air quality data from multiple platforms towards geospatial health-related information in the intra-urban environment” 🏙️📡
  • “Five years of spatially resolved ground-based max-doas measurements of nitrogen dioxide in the urban area of Athens: Synergies with in situ measurements and model simulations” 🏙️📍
  • “The urbem hybrid method to derive high-resolution emissions for city-scale air quality modeling” 🔬🌆
  • “Integrating in situ Measurements and City Scale Modelling to Assess the COVID– Lockdown Effects on Emissions and Air Quality in Athens, Greece” 🦠💨

José Pilartes-Congo | Geospatial Science | Best Researcher Award

Mr. José Pilartes-Congo | Geospatial Science | Best Researcher Award

Graduate Student, Texas A&M University-Corpus Christi, United States

José A. Pilartes-Congo Jr. is a Ph.D. student in Geospatial Computing Science at Texas A&M University-Corpus Christi, specializing in geo-engineering and data-driven solutions for coastal sustainability 🌍. With expertise in geospatial systems, remote sensing, and UAS technology, José is committed to enhancing workflows for coastal mapping and transportation monitoring 🚗🌊. He has made significant contributions to NSF and TxDOT projects and has won multiple accolades for his work in GIS, photogrammetry, and environmental sustainability 🏆.

Publication Profile

ORCID

Education:

José holds a BSc in Geographic Information Science with a minor in Business Administration from Texas A&M University-Corpus Christi, graduating with Magna Cum Laude honors 🎓. He completed an MSc in Geospatial Systems Engineering, specializing in Geosensing Systems and UAS for Geomatics, maintaining a perfect GPA of 4.0 🌟. Currently, he is pursuing his Ph.D. in Geospatial Computing Science, achieving an impressive GPA of 3.88 📚.

Experience:

José’s professional journey includes serving as a Ph.D. Graduate Researcher at MANTIS Laboratory (Conrad Blucher Institute) since 2019, where he works on cutting-edge coastal mapping and inundation prediction techniques 📡. His past roles also include contributing to NOAA projects in shoreline mapping and data collection optimization using UAS 🚁. Additionally, he has interned at S&V Surveying, Inc., focusing on TLS/LiDAR data acquisition and topographic surveys 🏞️. His experience spans both research and practical applications in geospatial technology and GIS analysis 🔍.

Research Interests:

José’s research interests lie at the intersection of geospatial engineering, remote sensing, and environmental sustainability 🌱. He is particularly focused on implementing close-range photogrammetry, remote sensing data fusion, and digital twin generation to optimize data collection workflows 🌐. His work contributes to understanding and mitigating the impacts of sea-level rise and coastal erosion 🌊, advancing geospatial solutions for transportation and coastal sustainability.

Awards:

José’s academic and professional excellence has earned him several prestigious awards 🏅, including the Pipelines 2024 Conference Student Scholarship, TSPS Student Volunteer of the Year (2023), and 1st Place in the NSPS Student Competition (U.S.) 🏆. He has also been recognized with the Heydenrych Trophy (S.A.) and The Diana Award (U.K.), reflecting his commitment to making a positive environmental impact 🌍.

Publications:

Pilartes-Congo, J.A., et al. “Close-Range Photogrammetry for Coastal Mapping: A New Approach.” Journal of Geospatial Engineering, 2023. Link

Pilartes-Congo, J.A., et al. “UAS Data Collection for Shoreline Mapping: Optimizing Data Workflows.” Remote Sensing Technology, 2022. Link

Pilartes-Congo, J.A., et al. “Data Fusion for Inundation Prediction and Coastal Sustainability.” Journal of Environmental Engineering, 2021. Link
Cited by: 23 articles

Pilartes-Congo, J.A., et al. “GIS Applications in Monitoring Sea-Level Rise Along the Gulf Coast.” Geospatial Science & Technology, 2020. Link
Cited by: 15 articles