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Mathematics and Statistics Research

Mathematics and Statistics

Faculty research in Math/Stat includes Applied Mathematics and Numerical Analysis, Analysis (inverse problems, partial differential equations, several complex variables), Differential Geometry and Topology, and Statistics. The strengths of the Math/Stat faculty consist of research productivity in areas related to the PhD program, recognized expertise in research, and research grants.

Publications / Presentations in 2023

41 Peer-reviewed research paper published or accepted in prestigious math and stat journals

21 research paper submitted to prestigious math and stat journals

59 conference presentations.

4 Mathematical Journal editorships.

Grant Activities in 2022-2023

6 new research grants in 2023: $313,580

Total research grants in 2022-2023: $914,907.

8 active research grants with

  • National Science Foundation,
  • Simons Foundation,
  • Kansas NASA EPSCoRPDG
  • PetroPowerresearch grant
  • SLMath
  • Rearchfellowship from ICERM
  • Wichita State University ACRS
  • Wichita State UniversityMURPA.

2022-2023 Grant Highlights

Li (PI):    Geometrization with Positive Curvature, NSF-LEAPS #2316659, $250,000, 2023-2025.

Li(PI):     Analysis and Geometry on Manifolds, Simons Foundation #962228, $42,000, 2022-2027.

Liu (PI): Robust and High Order Numerical Simulation for Phase Field Modeling, NSF-LECAP #2213436 for $250,000, 2022-2024.

Searle(PI): Curvature and Symmetry, NSF DMS #2204324 for $261,767. 2022-2025.

 

Industrial Math Clinic

2023 Industrial Math Clinic Highlights

Emprise Bank Data Lab                      Emprise bank logo

  • In Spring 2023, three graduate students participated and completed two data science projects: (1) Customer churn analytics and predictions, and (2) Time series forecasting on teller transactions.
  • After graduation, one student was offered a job as a data scientist at Emprise Bank.
  • In Fall 2023, two graduate students participated and completed two data science projects: (1) Customer text response topic tagging, and (2) Customer satisfaction and sentiment analysis.

PetroPower                                            PetroPower logo

  • Since last winter, two PhD students have been working on data science project.
  • The current grant is titled “IMU Data Compression and Anomaly Detection.”
  • This project consists of two separate and intertwined goals: compressing the existing time series data and detecting locations of abnormal data observations.
  • Through students’ diligent work, we have been able to pre-process the original raw data that is overwhelmingly dominated by gravity to remove such effects.

 

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