University of Michigan, Ann Arbor

Connect with Me

Plain Envelope Line Style
brand-linkedin
Strava
CV glyph icon

Hessa Khaled Al-Thani

Industrial and Operations Engineering ​PhD Candidate

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.


Newspaper Article Icon

News

News Publication Projects Contact

Home

Publications

  • "Tridiagonal maximum-entropy sampling and ​tridiagonal masks" (Discrete Applied Mathematics) ​Under revision.
  • "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.
  • Released the R Package for Generating Covariance ​Matrices for MESP on GitHub: ​https://github.com/hessakh/MESgenCov

News Publication Projects Contact

Home

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

News Publication Projects Contact

Home

Contact

Office number: 2774

Location: IOE Building 1205 Beal ​Avenue, Ann Arbor, MI 48109

Email: hessakh@umich.edu

Plain Envelope Line Style
brand-linkedin
Home

Explore

Page under construction

Construction Crane Icon