PHD-SEOR-L Archives

November 2020


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"Kathryn B. Laskey" <[log in to unmask]>
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Kathryn B. Laskey
Mon, 2 Nov 2020 17:33:39 +0000
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Please join us for the our next all-virtual KRYPTON seminar. We will meet at the usual time, 1600h, on Friday November 6, 2020.

We still have lots of openings for Fall 2020.  Please let me know if you want to be on the Fall 2020 schedule.

You can check Krypton events through our calendar at:<[log in to unmask]&;ctz=America/New_York" target="_blank">http:[log in to unmask]&;ctz=America/New_York>

We still have openings for Fall 2020, so please let me know if you are interested in presenting!

Wanru is doing a dry run for her presentation on November 13 at the AAAI Fall Symposium on AI for Social Good. Please attend and give feedback to help her refine her presentation!


Krypton Seminar Series - Spring 2020

Date: November 6, 2020
Time: 4:00PM - 5:30PM

Venue: All remote
Link for remote participation: om/guest/f79b654a49b743d790328e8ec3143047<>

Wanru Li
Doctoral Student, Systems Engineering and Operations Research, GMU

Title —  Using AI to Identify Optimal Drilling Locations for Sustainable Irrigation for Subsistence Agriculture

Abstract — In East Africa, many drought events have occurred over the past few decades. Droughts have resulted in severe food crises, especially for countries relying heavily on agriculture. From the perspective of sustainability, utilizing groundwater for crop irrigation could be an avenue toward resilience to drought. In this study, we aim to use AI to identify optimal drilling locations for sustainable irrigation for subsistence agriculture. Our initial focus is the Hare watershed in southern Ethiopia. To identify suitable drilling locations, a hydrogeological model (TOPMODEL) for estimation of discharge and depth to water table will be implemented first; machine learning models will be constructed to estimate the probability of finding groundwater at a particular location; and finally these will be provided as inputs to an optimization model. Since this study is in progress, preliminary intermediate results are presented in this presentation. A topographic wetness index (TWI) map was developed. TWI captures topographic features related to groundwater potential and will be an important input to our drilling location model.

Bio — Wanru Li is a Ph.D. student in Systems Engineering and Operations Research Department of George Mason University.  She got a Master’s degree in Data Analytics Engineering with Statistics Concentration from George Mason University.  She can be reached at [log in to unmask]<mailto:[log in to unmask]>.

Dr. Kathryn Laskey/ Dr. Paulo Costa
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703-993-1644 / 703-993-9989