PeopleofSuperintelligence

Researcher

Jinhong K. Guo

Also known as Jinhong Katherine Guo

Jinhong Katherine Guo is a signal processing and image processing researcher at the Lockheed Martin Advanced Technology Laboratories whose work spans signature forgery detection, document analysis and secure communication. After studies at Tsinghua University and Northeastern University, she joined Panasonic as a research scientist in 1996 and completed a PhD at the University of Maryland, College Park, under Azriel Rosenfeld in 2000. With David Doermann and Rosenfeld, she developed methods that match stroke segments to spot forged signatures, and in 2002 she coauthored work on classifying document pages through logical labelling. By 2012 she had moved to Lockheed Martin, and her paper on extracting entities from human-generated tactical reports won the Best Paper Award at Complex Adaptive Systems 2015. She became an IEEE Fellow in 2026 and serves on the editorial board of the International Journal of Pattern Recognition and Artificial Intelligence.

Badges

Timeline

  1. 1996

    Research scientist at Panasonic

    After undergraduate studies at Tsinghua University and a master's degree from Northeastern University, she joins Panasonic as a research scientist in 1996.

  2. 1997

    Spotting random signature forgeries

    In 1997, she coauthors "Local correspondence for detecting random forgeries" with David Doermann and Azriel Rosenfeld for the International Conference on Document Analysis and Recognition in Ulm, Germany. The method segments signature strokes into stylistically meaningful pieces and matches a questioned signature against a reference signature to flag random forgeries.

  3. 2000–2001

    A Maryland PhD under Rosenfeld

    While working at Panasonic, she completes her PhD at the University of Maryland, College Park, in 2000 under the supervision of Azriel Rosenfeld. In June 2001, she publishes "Forgery detection by local correspondence" with Doermann and Rosenfeld in the International Journal of Pattern Recognition and Artificial Intelligence; the method compares geometric properties of matching substrokes and uses a Gaussian statistical model to set its decision threshold.

  4. 2002

    Page classification by logical labelling

    In 2002, she coauthors "Page classification through logical labelling" with Liang Jian, David Doermann and Matthew Ma for the International Conference on Pattern Recognition. Their approach represents a page layout as a fully connected attributed relational graph and matches it to the graph of an unknown document, classifying and labelling the page simultaneously.

  5. By 2012

    A move to Lockheed Martin

    By 2012, she has moved from Panasonic to Lockheed Martin. In December 2012, she publishes "Context aware information delivery for mobile devices" in the International Journal of Pattern Recognition and Artificial Intelligence with Stephen A. Knott, Ray Yuan Sheu and Martin O. Hofmann.

  6. 2015

    Best paper at Complex Adaptive Systems

    Her paper "Extracting meaningful entities from human-generated tactical reports", written with David Van Brackle, Nicolas LoFaso and Martin O. Hofmann, wins the Best Paper Award at Complex Adaptive Systems 2015.

  7. 2026

    Named an IEEE Fellow

    In 2026, she becomes an IEEE Fellow for contributions to signal processing and trust in secure communication systems. The IEEE Communications Society counts her among its 59 members elevated to Fellow for 2026.

  8. As of October 2026

    Researcher at Lockheed Martin

    As of 2026, she works as a signal processing and image processing researcher at the Lockheed Martin Advanced Technology Laboratories. She also serves on the editorial board of the International Journal of Pattern Recognition and Artificial Intelligence.

Career

  1. NowLockheed MartinSignal processing and image processing researcher
  2. From 1996PanasonicResearch scientist

Education

  1. 2000University of MarylandPhD
  2. Tsinghua University
  3. Northeastern UniversityMaster's degree

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Jinhong K. Guo. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Lockheed Martin. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Tsinghua University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Tsinghua University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Jinhong K. Guo yet. Send us a free-licensed photo.

  1. Jinhong K. Guo - Wikipedia en.wikipedia.org. Checked 20 October 2026.
  2. Local correspondence for detecting random forgeries - SUNY University at Buffalo researchconnect.buffalo.edu. Checked 20 October 2026.
  3. Jinhong Guo - The Mathematics Genealogy Project mathgenealogy.org. Checked 20 October 2026.
  4. Forgery detection by local correspondence - SUNY University at Buffalo researchconnect.buffalo.edu. Checked 20 October 2026.
  5. Page classification through logical labelling - SUNY University at Buffalo researchconnect.buffalo.edu. Checked 20 October 2026.
  6. IEEE Fellows 2020-Current | IEEE Communications Society comsoc.org. Checked 20 October 2026.