Michael Cracraft
Dr. Michael Cracraft’s teaching interests include circuit theory and electromagnetics. His research has focused on signal & power integrity and electromagnetic compatibility. He earned his BS, MS and PhD from Missouri University of Science and Technology.

Academic Degrees

  • PhD, Missouri University of Science and Technology, 2007
  • MS, Missouri University of Science and Technology, 2002
  • BS, Missouri University of Science and Technology, 2000

Teaching Interests

  • Circuit Theory
  • Electromagnetics

Research Experiences

  • Signal & Power Integrity
  • Electromagnetic Compatibility
  • RF Design

Publications & Presentations

  • M. Cracraft, "Return path discontinuities and common return path issues," IEEE-HKN The Bridge Magazine, vol. 118, pp. 15-23. 2022.
  • M. Cocchini, K. McMillan, W. D. Becker, M. Cracraft, M. Doyle, and J. Bjorgaard, "Minimally invasive 3D printed fixtures for multi Gb/s channel characterization with a logic analyzer," 2020 IEEE 70th Electronic Components and Technology Conference, June 2020, pp. 946–951.
  • Y. He, J. M. Faia, M. Cracraft, and E. Wheeler, "Common-mode suppression in broadside coupled coplanar waveguides," Progress In Electromagnetics Research C, vol. 92, pp. 113–121, 2019.
  • Y. He, Z. Silva, Z. Bergstedt, J. Faia, S. V. Hoosier, S. G. Kang, G. Shaffer, E. Wheeler, and M. Cracraft, "Common-mode filtering in multilayer printed circuit boards," in 2017 IEEE International Symposium on Electromagnetic Compatibility Signal/Power Integrity, Aug 2017, pp. 288-292.
  • M. Cracraft and S. Connor, "Mode-selective periodic transmission line filters to reduce radiated common-mode emissions," 2016 IEEE International Symposium on Electromagnetic Compatibility, July 2016, pp. 216–221.
  • M. Cracraft. Data Scanning And Removal For Removable Storage Device. US 11,295,037. Granted April 5, 2022.
  • F. Gholami, M. Cracraft, M. Cocchini, V. Minassian. Electrically-Controlled Fiber-Optic Switching System. US 11,187,858. Granted November 30, 2021.
  • M. Cracraft. Accelerating Particle Swarm Algorithms. US 9,996,640. Granted June 12, 2018.