Jinhong K. Guo

Jinhong Katherine Guo is a Chinese and American computer scientist and signal processing and image processing researcher at the Lockheed Martin Advanced Technology Laboratories.[1]

Education and career

After undergraduate studies at Tsinghua University, Guo received a master's degree from Northeastern University and in 1996 began working as a research scientist for Panasonic. While doing so she continued her studies at the University of Maryland, College Park,[2] where she completed her Ph.D. in 2000 under the supervision of Azriel Rosenfeld.[3]

By 2012 she had moved from Panasonic to Lockheed Martin.[4] She is a member of the editorial board of the International Journal of Pattern Recognition and Artificial Intelligence.[1]

Recognition

Guo's paper "Extracting meaningful entities from human-generated tactical reports" with David Van Brackle, Nicolas LoFaso, and Martin O. Hofmann won the Best Paper Award at Complex Adaptive Systems 2015.[5]

She was named as an IEEE Fellow in 2026, "for contributions to signal processing and trust in secure communication systems".[6]

References

  1. 1 2 "Editorial Board", International Journal of Pattern Recognition and Artificial Intelligence (publisher web site), World Scientific, retrieved 2026-07-19
  2. ↑ Author biography from Guo, Jinhong Katherine; Doermann, David; Rosenfeld, Azriel (June 2001), "Forgery detection by local correspondence", International Journal of Pattern Recognition and Artificial Intelligence, 15 (4): 579–641, doi:10.1142/s0218001401001088
  3. ↑ Jinhong K. Guo at the Mathematics Genealogy Project
  4. ↑ Author biography from Guo, Jinhong K.; Knott, Stephen A.; Sheu, Ray Yuan; Hofmann, Martin O. (December 2012), "Context aware information delivery for mobile devices", International Journal of Pattern Recognition and Artificial Intelligence, 26 (8) 1260012: 1–15, doi:10.1142/s0218001412600129
  5. ↑ Best Paper Awards of Complex Adaptive Systems 2015 (PDF), retrieved 2026-07-19
  6. ↑ IEEE Fellows directory, IEEE, retrieved 2026-07-19
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