Hessa Khaled Al-Thani
Industrial and Operations Engineering PhD Candidate
University of Michigan, Ann Arbor
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Research Biography
My research interests are in discrete optimization, approximation algorithms and numerical linear algebra. My current research is focused on developing solutions for the Maximum-Entropy Sampling Problem (MESP), an NP-Hard problem. Motivated by an environmental design problem, the MESP seeks to find the most informative subset of sensors in a sensor network. I have worked on compiling data that we can use as input to test the lower and upper bounds of the model. I have also worked on finding exact or approximate solutions for specific cases of the MESP. My goal is to improve current theoretical guarantees for this combinatorial optimization problem.
News
- [10/20/22] The INFORMS Student chapter at UM received the 2022 Summa Cum Laude Student Chapter Award at the INFORMS Annual Meeting.
- [03/13/22] Conference presentation on Tridiagonal Maximum-Entropy Sampling and Tridiagonal Masks at INFORMS Optimization Society 2022
- [05/17/21] Conference presentation on Tridiagonal Maximum-Entropy Sampling and Tridiagonal Masks at LAGOS 2021
- [08/03/20] Paper on An R Package for Generating Govariance Gatrices for Maximum-Entropy Sampling from Precipitation Chemistry Data was published in SN Operations Research Forum
Publications
- Minimum cost adaptive submodular cover submitted to Mathematics of Operations Research May 2024.
- "Tridiagonal maximum-entropy sampling and tridiagonal masks" (Discrete Applied Mathematics) 2023.
- "Tridiagonal maximum-entropy sampling and tridiagonal masks" (Procedia Computer Science) 2021.
- "An R Package for Generating Covariance Matrices for Maximum-Entropy Sampling from Precipitation Chemistry Data" (SN Operations Research Forum) 2020.
Projects
Research
INFORMS Pro Bono
- Made a tax tool available for VITA volunteers through a website.
- Developing a database and website of BIPOC businesses in Washtenaw County for the Office of Community and Economic Development
Office number: 2774
Location: IOE Building 1205 Beal Avenue, Ann Arbor, MI 48109
Email: hessakh@umich.edu
Contact
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