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For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth science data, thus forming a community dedicated to making Earth science data more discoverable, accessible and useful to researchers, practitioners, policymakers, and the public. The theme of this year’s meeting is "Data for All People: From Generation to Use and Understanding."


avatar for Sahara Ali

Sahara Ali

University of Maryland Baltimore County
PhD Student
Maryland, United States

Contact Me

I am a first year PhD student in the Information Systems Department at University of Maryland Baltimore County.

Presently, as a second Semester student, I am studying courses on Deep Learning, Advanced Quantitative Research Methods, Computational Complexity. In my first semester I took a special-topic course on “Big Data + High Performance Computing HPC + Atmospheric Science”. Through these courses, I am not only learning concepts related to Machine Learning, Supervised and Unsupervised Modeling and Neural Network Architectures, but also practically implementing my learnt concepts in interdisciplinary research such as Climate and Atmospheric Sciences.  I worked on a research project that focuses on studying climatology through CMIP6’s global climate models. Using UMBC’s High Performance Computing environment, the research evaluated the accuracy of simulated models of the Earth's past, present, and future climate states. I have further worked on two research projects on Deep Domain Adaptation based Aerosol Classification for Active and Passive Satellites, published in Deep Spatial Workshop at KDD 2020 and IEEE Conference on Big Data 2020.