DESSERT’2022

12th International IEEE Conference
Dependable Systems, Services and Technologies
Greece, Athens, December 9-11, 2022
hybrid mode (i.e., using remote audio/video support
and as an in-person event)

IEEE
  • Conference Programme

  • Conference Programme is available here.

  • Deadlines

    Submission (long/short paper, up to 4/7 pages): November, 9, 2022 November, 26, 2022

    Submission (special session): November 5, 2022 November 15, 2022

    Notification of special session acceptance: November 6, 2022 November 16, 2022

    Notification of paper acceptance: November 30, 2022

    Final manuscript: November 29, 2022

    Registration and payment: November 29, 2022

    Program draft publication: December 2, 2022

    Conference date: December 9-11, 2022

  • Contacts

    Department 503, DESSERT’2022 Organizing Committee,
    National Aerospace University n. a. N. E. Zhukovsky “KhAI”,
    Chkalov str., 17, Kharkiv, 61070, Ukraine
    Olena Surynovych
    e-mail: dessert@csn.khai.edu

    www: dessert-conf.org

Nataliia Kussul

Prof. Nataliia Kussul
Chair of the Department of Mathematical Modeling and Data Analysis in
National Technical University of Ukraine “Ihor Sikorsky Kyiv Polytechnic Institute”.

Big Satellite Data and Artificial Intelligence for Food and Environmental Security

With the launch of ESA Copernicus program in 2015, a new era of Earth observation has started. Satellite data became freely available for innovative monitoring problems, making satellites more relevant to businesses and digitalization of the economy of different countries. To deal with big satellite data Machine Learning models and Artificial Intelligence tools and services should be developed and implemented in cloud environment. There are cloud platforms that provide direct access to big satellite data and allow deploying software for their processing. In particular, Google Earth Engine, Amazon Web Services and European cloud platform CreoDIAS.
One of the important applications of the artificial Intelligence on satellite data is food and environmental security under the climate change and crisis conditions. The data and machine learning models help to assess the land use changes toward mitigation of climate changes, monitoring of agricultural production dynamics, as well as natural and anthropogenic disasters and so on.
The talk will represent the state of the art in artificial Intelligence on geospatial data and it’s impact into digitalization of governance, in particular for security and damage assessment from the war in Ukraine.

Prof. Nataliia Kussul is a Chair of the Department of Mathematical Modeling and Data Analysis in National Technical University of Ukraine “Ihor Sikorsky Kyiv Polytechnic Institute”. She received Doctor of Sciences (second scientific degree) in Applied Mathematics from Space Research Institute NASU-NSAU in 2001, and Ph.D. degree in Applied Mathematics from the Institute of Cybernetics of NASU in 1991. Her current research interests include Big Data in remote sensing, Machine Learning Techniques for Geospatial Data. She is Head of the UN-SPIDER RSO in Ukraine and a representative of Ukraine in EuroGEO High Level Working Group. She has been PI for numerous innovative international projects from EC-FP7, ESA, Horizon-2020, EC-JRC, CRDF, STCU and World Bank in the area of geospatial intelligence. In 2021 Nataliia won GEO Individual Excellence Award for outstanding personal contribution to the GEO activities.

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