PeopleofSuperintelligence

Researcher

Jun Zhou

Jun Zhou is a professor at Griffith University in Australia who applies hyperspectral imaging to computer vision, including object tracking in hyperspectral video. After studying computer science in China and Canada, he earned a PhD at the University of Alberta in 2006 and worked at the Australian National University and NICTA in Canberra before joining Griffith in June 2012. He won an Australian Research Council Discovery Early Career Researcher Award in 2012, and in 2024 the Council funded a $523,425 Discovery Project that he leads with Kuldip Paliwal. With Paliwal and others, he coauthored the Hy-Tracker framework in 2023, gave a keynote on hyperspectral object tracking at a 2025 workshop held with IJCAI in Montreal, and coauthored a May 2026 paper that links spectral unmixing to target localization.

Timeline

  1. 1996–2006

    From Nanjing to an Alberta PhD

    He earns a B.S. in computer science in 1996 and a B.E. in international business in 1998, both from Nanjing University of Science and Technology. He completes an M.S. in computer science at Concordia University in 2002 and a Ph.D. at the University of Alberta in 2006.

  2. 2012

    Joining Griffith University

    Having been a research fellow in the Research School of Computer Science at the Australian National University and a researcher at NICTA's Canberra Research Laboratory, he joins the School of Information and Communication Technology at Griffith University in June 2012. He wins an Australian Research Council Discovery Early Career Researcher Award in 2012, works at Griffith as a lecturer and ARC DECRA Fellow, and is also an adjunct visiting fellow at ANU's Research School of Computer Science.

  3. 2023

    Hy-Tracker for hyperspectral video

    He coauthors Hy-Tracker in 2023 with Mohammad Aminul Islam, Wangzhi Xing, Yongsheng Gao and Kuldip K. Paliwal. The framework uses YOLOv7 to detect objects in hyperspectral videos, refines the detections with a tracking module, and adds a Kalman filter to handle scale variation and occlusion.

  4. By 2024

    Professor and society president

    By 2024, he is a professor in the School of Information and Communication Technology at Griffith University, president of the Australian Pattern Recognition Society, and an associate editor of five international journals, including IEEE TGRS and Pattern Recognition. His papers have drawn more than 10,000 citations. His research covers pattern recognition, hyperspectral imaging and computer vision, with applications in remote sensing, environment, agriculture and medicine.

  5. November 2024

    ARC grant for hyperspectral tracking

    In November 2024, Griffith announces that the Australian Research Council has funded the Discovery Project "Spectral-spatial-temporal object tracking in hyperspectral videos", led by him and Kuldip Paliwal and valued at $523,425.

  6. August 2025

    Keynote on hyperspectral tracking

    In August 2025, he gives the keynote "Spectral-spatial-temporal Modelling for Hyperspectral Object Tracking" at the 4th International Workshop on Spatio-Temporal Reasoning and Learning, held with IJCAI 2025 in Montreal.

  7. May 2026

    Unmixing with material prompts

    In May 2026, he coauthors "End-to-End Unmixing with Material Prompts for Hyperspectral Object Tracking" with Kuldip K. Paliwal, Xu Han, Mohammad Aminul Islam, Lei Wang and others. The paper treats hyperspectral object tracking as a joint optimization of material decomposition and target localization, tied together by a weighted target-oriented unmixing loss.

  8. As of October 2026

    Professor at Griffith University

    He is a professor at Griffith University. With Yongsheng Gao and Piotr Koniusz, he is a postdoctoral advisor to research fellow Lei Wang in the ARC Industrial Transformation Research Hub, where Wang has worked since February 2025.

Career

  1. Since 2012Griffith UniversityLecturer and ARC DECRA Fellow
  2. 2012Australian National UniversityResearch Fellow, Adjunct Visiting Fellow
  3. Until 2012National ICT AustraliaResearcher

Education

  1. 2006University of AlbertaPh.D.
  2. 2002Concordia UniversityM.S. in computer science
  3. 1998Nanjing University of Science and TechnologyB.E. in international business
  4. 1996Nanjing University of Science and TechnologyB.S. in computer science

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Griffith 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.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Griffith University. 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. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Griffith University. 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.
  4. The United States employs an estimated 48% of people shaping AIIncludes Australian National University. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Jun Zhou yet. Send us a free-licensed photo.

  1. 学术讲座 | Prof. Jun Zhou：Hyperspectral Computer Vision and Its Applications mip.ecnu.edu.cn. Checked 21 October 2026.
  2. 【海韵讲座】2014年第18期-Hyperspectral Imaging in Environmental Informatics-厦门大学信息学院 informatics.xmu.edu.cn. Checked 21 October 2026.
  3. Junzhou's Homepage users.cecs.anu.edu.au. Checked 21 October 2026.
  4. Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos arxiv.org. Checked 21 October 2026.
  5. More than $7 million awarded for Griffith Discovery Projects - Griffith News news.griffith.edu.au. Checked 21 October 2026.
  6. CEUR-WS.org/Vol-4102 - Third International Workshop on Spatio-Temporal Reasoning and Learning 2024 ceur-ws.org. Checked 21 October 2026.
  7. End-to-End Unmixing with Material Prompts for Hyperspectral Object Tracking arxiv.org. Checked 21 October 2026.
  8. Experience - Lei Wang leiwangr.github.io. Checked 21 October 2026.