Firas Khasawneh

Contact Information

Engineering Bldg.
428 S Shaw Ln
Room: 2503
East Lansing , MI 48824

(517) 432-0471

khasawn3@msu.edu

Assistant Professor

Computational Mathematics, Science and Engineering

Biography

Dr. Khasawneh’s research program focuses on complex dynamical systems with applications in science and engineering. The systems he’s interested in are both numerical and experimental, and they often include nonlinearities, delays, and stochastic effects. Examples of his current research activities include leveraging Topological Data Analysis (TDA) and machine learning for signal processing and advanced manufacturing including chatter diagnosis from machining vibration signals, and quantifying surface texture in fabricated parts. His work also includes studying the stability of delay differential equations both deterministic and stochastic. 

Education

  • Ph.D., Mechanical Engineering and Materials Science, Duke University, 2010
  • M.S., Mechanical and Aerospace Engineering, University of Missouri-Columbia, 2006
  • B.S., Mechanical Engineering, Jordan University of Science and Technology 2004

Research Interests

  • Dynamical Systems
  • Time Series Analysis
  • Advanced Manufacturing

Research Lab

Khasawneh Group

Selected Publications

  1. Max Chumley, Melih Yesilli, Jisheng Chen, Firas Khasawneh, Yang Guo, “Pattern characterization using topological data analysis: Application to piezo vibration striking treatment,” Precision Engineering, (83), pp. 42-57, (May 2023). [Editor’s Choice]. DOI: 10.1016/j.precisioneng.2023.05.005
  2. Audun Myers, David Munoz, Firas A. Khasawneh, Elizabeth Munch; Temporal network analysis using zigzag persistence, EPJ Data Science, 12 (6), pp. 132446, (March 2023). DOI: 10.1140/epjds/s13688-023-00379-5
  3. Audun Myers, and Firas A. Khasawneh; On the automatic parameter selection for permutation entropy. Chaos; 30 (3): 033130. (March 2020). [Editor’s Choice]. DOI: 10.1063/1.5111719
  4. Melih Can Yesilli, Firas Khasawneh, Andreas Otto, “On transfer learning for chatter detection in turning using wavelet packet transform and ensemble empirical mode decomposition," CIRP Journal of Manufacturing Science and Technology, (28), pp. 118-135, (January 2020). DOI: 10.1016/j.cirpj.2019.11.003
  5. Firas A. Khasawneh , and Elizabeth Munch, “Topological Data Analysis for True Step Detection in Periodic Piecewise Constant Signals,” Proceedings of the Royal Society A, (474) 2218, pp. 20180027, (October 2018). DOI: 10.1098/rspa.2018.0027
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