Open Earth Monitor — Global Workshop 2023

Alessandro Scremin

Alessandro Scremin has a Degree in Forestry and Environmental Management with focus on natural hazards management and mitigation. In the last 15 years he carried on R&D Project management activities in the field of Earth observation applications development for environmental monitoring within the following main sectors: Forestry, Natural hazards, citizen science, renewable energy and digital platform developments on Climate change mitigation.

Currently he is supporting ESA in coordinating several initiatives: the H2020 GPP (GEOSS Platform Plus) project, GTIF (Green Transition Information Factories) project, the European ESA-EC (RACE) dashboard and Trilateral (ESA-NASA-JAXA collaboration) Dashboard.

  • GEOSS Platform Plus: European efforts to reinforce the use of Earth Observations globally
Anca Anghelea

Earth Observation, Open Science, Digital Innovation

  • Earth Observation Open Science and Innovation
Candan Eylül Kilsedar

Dr Candan Eylül Kilsedar has a background in computer science and engineering and has specialized in remote sensing and geographic information systems. She worked as a research fellow from 2015 to 2020 at Politecnico di Milano and since 2020 she is working as a consultant at the Joint Research Centre of the European Commission, currently in the Knowledge Centre on Earth Observation (KCEO) team.

  • EO-based Use Cases for EU Policy Support
Carlos Cob

Engineer in telecom systems, specialised in artificial intelligence oriented to computer vision and time series systems. Additionally, I’m doing my PhD in ML, AI, and CV. Also, I love DeVop systems, and I can work with K8s, containers, Rancher, etc.

  • GeoData-Based Artificial Intelligence Architectures in the Green Deal Data Space Development
Cian White

I'm a community ecologist with a PhD in plant-pollinator interactions. Recently, I've become interested in using the vast amounts of data available from satellites to develop tools to monitor biodiversity in supply chains and hopefully incentivize it's protection.

  • Monitoring Biodiversity in Agricultural Supply Chains: an Irish Case Study
Codrina Maria Ilie

Codrina Ilie is a technical geographer, an open source GIS/RS power user, actively working in improving open data services development at Terrasigna. In her 12 years of activity, Codrina has essentially focused on using open source GIS and RS solutions for data management, processing and visualization. As an advocate for foss4g, since 2010 she has been a volunteer trainer in the Romanian geospatial community, Since 2013, Codrina has been a Charter Member and today serves the geospatial community as an OSGeo Board of Directors member, within her second term.

  • OSS4gEO: a FOSS4G resources platform initiative
Damiano Oldoni

I am a former physicist, trying to create order in the world of taxonomy and alike. He does so by writing elegant software functions to help you speed up your research.

  • Biodiversity data cubes: spatial aggregation and uncertainty
Daniel Calvo
  • GeoData-Based Artificial Intelligence Architectures in the Green Deal Data Space Development
Daniel E. Pabon-Moreno

Doctoral Researcher

Department Biogeochemical Integration (BGI)

Atmosphere-Biosphere Coupling, Climate and Causality

Ecosystem Function from Earth Observation

Intern. Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC)

  • Towards a large-scale tool for estimating potential land-cover impacts from Remote Sensing
  • Distributed computing on large geodata from multiple sources using the Julia Programming language
Daniel Loos

2023 - today Data Scientist and PostDoc, Max Planck Institute for Biogeochemistry
2018 - 2023 Doctoral researcher Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology
2015 - 2017 Master Bioinformatics, Friedrich Schiller University Jena
2012 - 2015 Bachelor Molecular Life Science, University of Lubeck

  • DGGS.jl: A Julia Package for Scalable Geospatial Analysis Using Discrete Global Grid Systems
  • Distributed computing on large geodata from multiple sources using the Julia Programming language
Daniele Marinelli

Daniele Marinelli received the “Laurea” (B.Sc.) degree in Electronics and Telecommunications Engineering, the “Laurea Magistrale” (M.Sc.) degree in Telecommunications Engineering (cum laude) and the Ph.D. in Information and Communication Technologies (cum laude) from the University of Trento, Italy, in 2013, 2015, 2019, respectively. He is recipient of the prize for the 2015 Best Italian master Thesis in the area of remote sensing awarded by the the Italy Chapter of the IEEE Geoscience and Remote Sensing Society. He got the Second Place in the Student Paper Competition at the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018) hold in Valencia (Spain). In 2017 he was a visiting PhD student at the Integrated Remote Sensing Studio, University of British Columbia, Vancouver, Canada working on Change Detection in LiDAR data. From 2017 to 2022 he was a teaching assistant at the Department of Information Engineering and Computer Science of the University of Trento. Currently he is a researcher at the Forest Ecology Unit of Fondazione Edmund Mach. His research interests are related to the multitemporal analysis time-series, Hyperspectral and LiDAR data for forestry applications.

  • Tools for Long Time-Series Processing For Alpine Environments Monitoring
Davide Andreatta

I'm currently a PhD student at the Forest Ecology Group at the Research and Innovation Centre of the Edmund Mach Foundation (Italy), with a focus on grassland ecology and remote sensing. My background is in forestry and environmental sciences, biodiversity conservation, seed science and grassland restoration. My research now focuses on the integration of images (satellite and time-lapse camera) and field surveys to understand grassland ecological change.

  • Tools for Long Time-Series Processing For Alpine Environments Monitoring
Dominik Weckmüller

Dominik Weckmüller is a data scientist at the Knowledge Centre on Earth Observation of the European Commission.
He develops innovative solutions for large-scale data analysis by utilizing advanced NLP machine learning methodologies to support EU policy-making.

  • Advancing Earth Observation knowledge management through machine learning and semantic interoperability for EU policy support
Eleanna Kouletou

As a data scientist, Eleanna analyses and visualizes customers’ data and implements machine learning techniques for time-series, computer vision, NLP and geospatial data.

With a MEng in Electrical and Computer Engineering and MSc in Data Science and Knowledge Technologies, she is eager to learn and practice her theoretical knowledge to solve real-life problems in various areas from visualization techniques and data engineering task to deep learning.

  • A foolproof web service for spatial data aggregation and analysis
Fabian Gans

Fabian Gans is a project group leader at the Max-Planck-Institute for Biogeochemistry in Jena, Germany. For the last 10 years he has been working as a Research software engineer and dealing with data cubes from a variety of sources and ever growing in size. He is excited about the Julia Programming language, and is creator/maintainer/comtributor in several Julia packages for geospatial data analysis.

  • Forest loss mapping based on Sentinel-1 time series
  • Distributed computing on large geodata from multiple sources using the Julia Programming language
Felipe Carlos

Felipe Carlos is a master's degree in Applied Computing on Reproducible Earth Observation Science from Brazilian National Institute for Space Research (INPE), with experience in web development (Python and ReactJS) and cloud infrastructure. Felipe also has experience processing, manipulating, and managing spatio-temporal data (data cubes, image time-series) in R and Python programming languages.

Currently, Felipe is a GEO Knowledge Hub team member, collaborating in the development of the digital library and its various modules.

  • GEO Knowledge Hub to preserve and share EO applications: Introduction and practice
Felix Cremer

Felix Cremer received his diploma in mathematics from the University of Leipzig in 2014. In 2016 he started his PhD study on time series analysis of hypertemporal Sentinel-1 radar data.
He is interested in the use of irregular time series tools on Synthetic Aperture Radar data to derive more robust information from these data sets.
He worked on the development of deforestation mapping algorithms and on flood mapping in the amazon using Sentinel-1 data.
He currently works at the Max-Planck-Institute for Biogeochemistry on the development of the JuliaDataCubes ecosystem in the scope of the NFDI4Earth project. The JuliaDataCubes organisation provides easy to use interfaces for the use of multi dimensional raster data.

  • Forest loss mapping based on Sentinel-1 time series
  • Distributed computing on large geodata from multiple sources using the Julia Programming language
George Siokas

As an EU R&D and Innovation Project Manager in LIBRA AI Technologies, Georgios manages the company's tasks in EU-funded projects.

He acquired his diploma at the School of Chemical Engineering of the National Technical University of Athens (NTUA). He holds a PhD in Economics of Innovation and Technology from the same university. During his studies, he deepened his technical knowledge by participating in summer programs at the University of Foggia in Italy and the University of Essex in the UK.

As a researcher, he has many publications in scientific journals and international academic conferences. He is a co-author of two scholarly books on entrepreneurship and project management. His management experience is enriched by participating in various EU and national research projects.

In LIBRA AI Technologies, Georgios works closely with the project management teams, the relevant stakeholders, and the company's clients to understand their needs and ensure that each project meets its initial expectations.

  • A foolproof web service for spatial data aggregation and analysis
Gilberto Camara

Researcher on Geoinformatics, Land Use Change and Spatial Data Science. Former Director of INPE/Brazil (2005-12) and of Group on Earth Observations (2018-21).

  • Monitoring deforestation in Amazonia: transitioning from visual interpretation to satellite time series analysis
Giuseppe Amatulli

Giuseppe is the lead scientist at Spatial-Ecology for data analysis and product development. He is an accredited GIS data expert with deep expertise in spatial modelling and coding with open source software for environmental applications. His current focus is on hydrological modelling at a global scale, in addition to researching species distribution under climate change scenarios.

Giuseppe has a breadth of experience in GIS technologies, remote sensing, informatics, cluster and parallel computing, and statistics. He is proficient in applying complex modelling techniques to automate the analysis of high-resolution data under Linux-based platforms.

Giuseppe holds a research scientist position at Yale University in the US, and has previously worked at the European Commission Joint Research Centre, and the University of Zaragoza. His coverage of the forestry and environmental sectors entails wildfire occurrence risk and pattern recognition, ecological shifts under climate geo-engineering scenarios. Notably, he runs geocomputation training courses worldwide on the latest data programming techniques.

Giuseppe has a PhD from the University of Basilicata in Italy, an MSc in Geo-Information Science from Wageningen University, and MSc in Forestry from Bari University. His time away from coding is spent leading adventure trips in remote locations, which involve canyoning, caving, rafting and hiking.

  • The Hydrography90m dataset: present offering and future scope
Gregory Duveiller

Gregory Duveiller is a project group leader at the Max Planck Institute for Biogeochemistry in Jena. His research focuses on investigation ecosystem function and land-atmosphere interactions from satellite Earth Observation.

  • Towards a better estimation of GPP for greenhouse gas accounting through the combined use of SIF, spherical grids and knowledge-guided AI
Iacopo Ferrario

Geospatial Analyst

  • EO-based Use Cases for EU Policy Support
  • Advancing Earth Observation knowledge management through machine learning and semantic interoperability for EU policy support
Ilaria Gliottone

I have a background in European Studies (BSc) and Environmental Change and Sustainability (MSc), and I am currently working as a consultant to support the work of the European Commission Joint Research Centre - Knowledge Centre on Earth Observation (KCEO) hosted within the D.6 Unit - Nature Conservation and Observations. I provide technical support to the KCEO in developing thematic assessments (i.e., KCEO deep dives) to analyse how EO could better support EU policies in selected policy domains, including for instance biodiversity and climate adaptation.

  • EO-based Use Cases for EU Policy Support

I am a Ph.D. in the Institute of Information Technology of Lodz University of Technology where I work as an assistant lecturer since 2019. Besides that, I am a Scientific Software Developer and Machine Learning Engineer at CMCC Foundation.
Between 2020 and 2023 I conducted a scientific project related to point cloud analysis.

  • A Cloud-native Data Platform for Management and Processing of Big Geospatial Data
Jędrzej Bojanowski

Dr Jędrzej Bojanowski leads the Data Science department at CloudFerro, a company providing cloud computing infrastructures and EO data repositories such as CREODIAS. He specializes in application of satellite data in environmental studies: climatology and monitoring of agriculture. He received a PhD degree in 2014 from the Faculty of Geo-Information Science and Earth Observation of the University of Twente. He gained further experience as an employee of the European Commission's Joint Research Centre (Ispra, Italy), a postdoctoral fellow of the Swiss Federal Institute for Meteorology and Climatology (MeteoSwiss) in Zurich and assistant professor and a deputy head of Remote Sensing Centre of the Institute of Geodesy and Cartography in Warsaw, Poland. He carried out ESA- and EUMETSAT-funded projects aiming at generation of ECVs of cloud physical properties from polar-orbiting and geostationary satellites. He was also a principal investigator of ESA projects related to satellite identification and monitoring of agricultural crops for public administration. He received an award of the Ministry of Science and Higher Education for Outstanding Young Scientists.

Joan Maso

Dr. Joan Masó (m) is a Principal investigator of CREAF leading specialized group on geospatial interoperability, GIS, remote sensing . (PhD in Geography, MSc in Physics, and a MSc in Electronic Engineering all in the UAB). Since 1995 he is a researcher at CREAF and GIS developer. Co-creator of the MiraMon compressed map in 1997 that has evolved into a distribution and preservation format. Teacher in a RS and GIS master in the UAB. Creator of Remote Sensing imagery visualization and download software for web data portals (the MiraMon Map Browser). Expert in JPEG2000 format. He is an active member of the TC of the Open Geospatial Consortium (OGC) since 2003 (editor OGC 07- 057r7 WMTS standard and the new OGC 20-057 OGC API Tiles among others and chair of the Iberian and Latin American Forum; ILAF). Spanish representative in the TC 211 and editor of the ISO 19165 Preservation of geospatial data and metadata. OGC Gardels gold medal in 2018. Coordinator of GeoViQua FP7 project (research project about visualization of quality information in GEOSS), H2020 ConnectinGeo and currently HE AD4GD. Participant in several European projects related with biodiversity, citizen science, remote sensing and research infrastructures such as H2020 ECOPOTENTIAL, H2020 GroundTruth 2.0, H2020 WeObserve H2020 ERA-PLANET, H2020 E-Shape, H2020 BestMap, H2020 COS4Cloud (INTRAEOSC project), ESA-IHE Phenotandem, EEA InCASE, OEMC as well as some other national and local projects related both with remote sensing and geospatial standards and applications. Earth and Space Science Informatics (ESSI) former division president in the European Geosciences Union (EGU). Chair of the OGC API Common, OGC API Tiles and OGC API Maps working groups and member of the OGC Architecture Board. Co-chair of the Citizens Science GEOSS working group. Senior member of IEEE and member of the International Society of Digital Earth (ISDE) council. Chair of the Community of Practice in Interoperability for Citizen Science.

  • Let's co-create the Green Deal Data Space
Joaquín García-Gómez

I am Artificial Intelligence Researcher in Atos (Madrid), where I work in different Horizon Europe Projects (FERMI, AD4GD and DIH4AI) applying the latest technologies in the field. Previously I was a postdoctoral researcher in the Signal Theory and Communications Department, at University of Alcalá. I received the PhD in Information and Communications Technology (2021), with a thesis about sound event detection in smart cities.

  • GeoData-Based Artificial Intelligence Architectures in the Green Deal Data Space Development
Johannes Reiche
  • In-situ Citizen Science Data for Training and Validation of the OEMC Monitors and other EO Mapping Models
Julia Hackländer

Julia is a PhD candidate and research assistant at OpenGeoHub foundation, the Netherlands. Her research focuses on mapping land potential and monitoring land degradation using earth observation data.

  • Mapping land potential and tracking land degradation using EO data
Kaori Otsu

Postdoctoral researcher at CREAF. Participant in H2020 and HE INFRA-EOSC projects: Cos4Cloud, ESOC Focus, AquaINFRA. Member of the EGU Earth and Space Science Informatics Division.

  • AquaINFRA for blue research interlinking EOSC ecosystem with Green Deal data space
Loïc Dutrieux

Researcher on forest dynamics, geospatial data, algorithms, scientific programming, etc... at European Commission's Joint Research Center, Ispra, Italy.

  • Streamlining forest disturbance monitoring over large areas with the nrt python package
Luca Brocca

Luca Brocca received the Master and the PhD degree in Civil Engineering in 2003 and 2008, respectively. Since (2009) 2019 he is (Researcher) Director of Research at National Research Council, Research Institute for Geo-Hydrological Protection of (CNR-IRPI) in Perugia. Luca Brocca is author and co-author of 180+ journal referred papers, his work has been cited 14600+ time, with H-index=64 with Google Scholar. Luca Brocca actively participates as Principal Investigator (PI) and co-PI to several research projects in the frame of Italian and European programs (LIFE+, HORIZON2020), and funded by International Space Agencies (ESA; EUMETSAT, and NASA). Among others, in 2012, he received the “Early Career Research Excellence” award by iEMSs society, in 2018 he has been the winner of the Copernicus Masters competition “BayWa Smart Farming Challenge”, in 2019 and 2020 he has been nominated “Highly Cited Researchers” by Web of Science Group – Clarivate, and in 2021 he won the ESA–EGU Earth Observation Excellence Award.
The main research interest of Luca Brocca lies in the development of innovative methods for exploiting satellite observations for hydrological applications (floods, landslides, rainfall, droughts, and irrigation). He developed the algorithm SM2RAIN, a novel concept for estimating rainfall from soil moisture observations.
More information at:

  • Building a Digital Twin Earth for the Water Cycle: State of the Art and Challenges
Luca Giovannini

Passionate about algorithm design and development, I have 15 years of experience in the field of data elaboration, analysis and visualization, in particular of data with a spatial / geographical component.
Over time I have worked in various fields, including climate modeling, intelligent transportation systems and earth observation, and I am currently developing data-related services for smart cities in the domains of energy efficiency of buildings, sustainable mobility and environmental management.
I am always looking for opportunities to apply my skills in challenging and innovative contexts, to work on solutions that have an impact on everyday life. I love international, multicultural work environments and cherish any opportunity to travel for work.

  • From low-cost AirQuality stations to open standard (OGC SensorThings) and open data with open source solutions (FROST + QGIS plugin for sensors)
  • Novel practical tools for the environmental management of natural parks
Lucy Bastin
  • GeoData-Based Artificial Intelligence Architectures in the Green Deal Data Space Development
Marco Mancini

With a PhD in Computer Science and System Engineering from the University of Calabria (Italy), Marco’s expertise includes data management and analytics, cloud and edge computing, container orchestration, IoT, and HPC. He actually combines his work as Senior Scientist at the Euro-Mediterranean Center on Climate Change (CMCC) with his role as Senior Cloud Solutions Architect at OpenNebula Systems. Marco leads the activities of Data Platform and Services within the Advanced Scientific Computing Division at CMCC, with focus on the research and development of innovative ICT digital platforms to support operational environments and ecosystems in different sectors (agriculture, climate, disaster risk reduction, wildfire management, etc.). He plays a key role in a number of high-profile European and National R&D projects - SDGs-EYES, SILVANUS, EO4EU, COGNIT, SEBASTIEN, AGREED, AGRITECH - and also contributes with his technical skills and knowledge on Kubernetes and container technologies to both the IPCEI-CIS and the SovereignEdge.EU initiative.

  • A Cloud-native Data Platform for Management and Processing of Big Geospatial Data
Martina Forconi
  • Novel practical tools for the environmental management of natural parks
Michele Claus
  • OpenEO in action. Learn how to get started with openEO via the Web Editor, Python and R.
Milutin Milenkovic

Milutin Milenković is a Research Scholar at the International Institute for Applied System Analysis,
Novel Data Ecosystems for Sustainability Group, Austria.

  • In-situ Citizen Science Data for Training and Validation of the OEMC Monitors and other EO Mapping Models
Pantelis Mitropoulos
  • A foolproof web service for spatial data aggregation and analysis
Paola De Salvo
  • GEO Knowledge Hub to preserve and share EO applications: Introduction and practice
Patric Brandt

Patric is a sustainability scientist working at the Institute for Crop and Soil Science at the Julius Kühn Institute in Germany. He is leading research on model based crop yield estimation at the Institute’s Research Centre for Agricultural Remote Sensing leveraging the power of earth observation and geospatial analytics.

  • Machine learning ensembles for scalable crop yield modelling: Leveraging earth observation and a cloud-integrated spatial data infrastructure to support agricultural statistics
Peter Zellner

I'm a geographer with a focus on geoinformatics, remote sensing and their application to environmental applications - which should be barrierfree and open source.
Providing, optimizing and automizing remote sensing and gis workflows and tools.
Setting up scalable computing environments.
Working on big earth observation data cloud infrasturctures.
Helping to bring research results into an easily accessible and digestible format.

  • OpenEO in action. Learn how to get started with openEO via the Web Editor, Python and R.
Piergiorgio Cipriano

I am a GIS/SDI analyst since 1998.
Working at Dedagroup Public Services since 2005 (form Sinergis), in 2012-2013 I have joined the Joint Research Centre of European Commission, on INSPIRE-related projects.
I am passionate about maps, cartograms and storymaps, with focus on city-level data about air quality, energy performance of buildings, sustainable mobility.
From 2001 to 2010 I actively participated in ISO/TC211 and CEN/TC287 working groups on standards for geographic information and services.
In the last years I was involved in several innovation projects co-funded by Horizon Europe, H2020, EIT Climate-KIC, CEF Telecom and other programs.

  • From low-cost AirQuality stations to open standard (OGC SensorThings) and open data with open source solutions (FROST + QGIS plugin for sensors)
Quentin Groom

Quentin Groom is head of Biodiversity Informatics at Meise Botanic Garden in Belgium. His team works on many aspects of biodiversity science including invasive species, collection digitization, automated workflows, data publication, and more.

  • Let's co-create the Green Deal Data Space
Rafael Kaufmann

Rafael Kaufmann is a mathematical physicist, economist, product manager, and the CTO of Digital Gaia, an open science business that is accelerating the global transition to regenerative agriculture. He is a specialist in distributed systems and Bayesian inference, and author of several publications in AI-augmented collective intelligence. He was founder and CTO of Brazil’s first ridesharing app, worked 6 years at Google building internal tools and processes for scaling organizational effectiveness, and is a member of the Board of Directors at the Active Inference Institute.

  • dTwins: Decentralized computational statistics for science and decision-making at global scale
Raniero Beber

Geospatial data analyst at 3DOM research unit, FBK Trento, Italy

  • Estimation of urban heat island integrating IoT sensors and EO thermal open data
  • Airborne-based multi-modal geospatial data for local Green Deal
Robert Masolele

Robert Masolele is a post-doctoral researcher at the Laboratory of Geo-information Science and Remote Sensing of Wageningen University, working on large-scale forest dynamics and driver monitoring. He exploits the advancement in earth observation and artificial intelligence to enable the detection of spatial patterns in environmental data based on satellite images. Robert holds a PhD in remote sensing and deep learning from Wageningen University, a Master of Science degree in Geo-information Science and Earth Observation from the Faculty of Geo-information science and earth observation of the University of Twente, and a Bachelor of Science in Forestry from Sokoine University of Agriculture in Tanzania. He also has +3 years of experience working in forest resource assessment and conservation for the Tanzanian Forest Service. He enjoys carefully thinking about the highly mathematical parts of analyzing natural resource problems, particularly land use characterization and land use dynamics assessment, with the application of spatial statistical modeling, machine learning, and deep learning algorithms.

  • Mapping the diversity of land use following deforestation across Africa with active learning
Thomas Maffei

Thomas Maffei holds a master degree in environmental science from the University of Padua. He has focused his studies on the application of remote sensing data in the environmental field, and works as a remote sensing expert at AVT-ASI. He's responsible for the processing and analysis of hyperspectral images acquired in Europe with the fleet of AVT group.

  • Use of airborne hyperspectral images in support to Alpine forest managers
Tom Hengl (OpenGeoHub)

Director @ OpenGeoHub Foundation
Visiting address: Agro Business Park 10, 6708PW Wageningen, NL
Tel: +31 (0)317 427537

  • OpenLandMap: Global ARCO environmental layers
Tushar Sethi

Tushar is Managing Director of Margosa Environmental Solutions Ltd, a UK-based geoinformatics firm that delivers natural resource data products, analytics, and mapping solutions for various applications. He is also a Director at Spatial Ecology, an educational non-profit in the UK specialising in geocomputation. Tushar has an environmental engineering and management background with experience in water management, waste treatment, and energy and materials recovery from waste. He holds an MSc, DIC in Environmental Technology from Imperial College London.

  • The Hydrography90m dataset: present offering and future scope
Vasile Crăciunescu
  • OSS4gEO: a FOSS4G resources platform initiative
Victor Maus

I am a researcher at the Institute for Ecological Economics from the Vienna University of Economics and Business and at the International Institute for Applied Systems Analysis. My field of research is Spatial Data Science with application in sustainability science, in particular land-use changes.

  • Overcoming Data Scarcity in Land Use Monitoring with Time-Weighted Dynamic Time Warping
Wantong Li

A postdoc researcher at Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry.

  • Integrated data-driven analysis of climate, biosphere and socio-economic co-variability: towards a planetary health index
Yannis Kopsinis

Dr Yannis Kopsinis is a Libra AI Technologies co-founder and CEO. He received his PhD from the Dept. of Informatics and Telecommunications, Univ. of Athens, in 2004. He has worked on Machine learning theory, applications, consultancy and hands-on tasks for more than two decades in applications ranging from telecoms to audio and medical to digital marketing. He has gained several prestigious research grants, such as a Marie Curie IEF and a Ramón y Cajal Fellowship, the University of Granada, Spain. He has also worked for over five years as a senior research fellow in the School of Engineering and Electronics at the University of Edinburgh, UK. He has published over 70 papers in technical journals and conferences and co-authored three book chapters. His work has received more than 1500 citations.

  • A foolproof web service for spatial data aggregation and analysis