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Free Webinar on AI in Earth Sciences

Thursday, October 28 @ 2:30 p.m. - 4:30 p.m. UTC

Free Webinar on AI in Earth Sciences


About the Event

The field of Artificial Intelligence (AI) is influencing all domains that require inference and human decision-making. AI and its subfields of Machine Learning (ML) and Deep Learning (DL) can be applied to effectively and efficiently analyze the large volume of earth science data collected over decades. There are petabytes of freely available data from multiple organizations across the globe to be used for studying earth science including global change and the phenomenon directly impacting the health of the planet, its inhabitants, and the relationship between these. This webinar provides an introduction to AI in Earth Sciences and how it opens avenues to a new world of possibilities.

Agenda of the webinar:

  • What is AI?
  • What is Earth Science?
  • Why use AI in Earth Sciences?
  • Where to find (free) global Earth Science Data?
  • How is AI being used in Earth Sciences?
  • Open Discussion and Q&A

The Certificate of Participation will be provided from CloudxLab to all the attendees.


Dr. M.L. Virdi

Dr. M.L. Virdi

Senior Research Scientist at NASA

About Presenter

Dr. M.L. Virdi is a Senior Research Scientist at NASA, working at NASA’s Atmospheric Science Data Center (ASDC) to provide scientific direction and programmatic support for future satellite missions for collecting satellite data. Dr. Virdi graduated with a B.Tech. from IIT Roorkee in 2004, and earned a Ph.D. from the University of South Florida in 2013. In the past, he worked for the U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL), and U.S. Geological Survey (USGS). Dr. Virdi’s expertise includes creating geospatial tools and services for science-based analysis, visualization, discovery, and distribution of earth science data generated by field/laboratory measurements, remote sensing, and model simulation. He is passionate about learning new techniques, and teaching by making concepts simpler to understand.

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