Researcher

Badong Chen

Also known as 陈霸东

Badong Chen is a professor at Xi’an Jiaotong University’s Institute of Artificial Intelligence and Robotics whose work spans signal processing, machine learning, neural engineering and robotics. He earned degrees at Chongqing University and a Ph.D. at Tsinghua, then held postdoctoral posts at Tsinghua and the University of Florida. He coauthored the maximum correntropy Kalman filter and the 2024 book Neuromorphic Intelligence: Learning, Architectures and Large-scale Systems, and won the 2022 IEEE TCDS Outstanding Paper Award. In 2025, he organizes an IJCNN tutorial on deep learning; in March 2026, he coauthors research on major depression using an ensemble graph neural network.

Timeline

  1. 1997–2008

    Degrees in control and computer science

    He earns a B.S. in automatic control at Chongqing University in 1997 and an M.S. in control theory and engineering there in 2003. He completes a Ph.D. in computer science and technology at Tsinghua University in 2008.

  2. 2008–2012

    Postdoctoral work in China and Florida

    From 2008 to 2010, he works as a postdoctoral researcher at Tsinghua University. From 2010 to 2012, he is a postdoctoral associate at the University of Florida’s Computational NeuroEngineering Laboratory.

  3. 2015–2017

    The maximum correntropy Kalman filter

    In 2015, he visits Nanyang Technological University as a visiting research scientist and coauthors the paper Maximum Correntropy Kalman Filter. In 2017, he serves as a senior research fellow at Hong Kong Polytechnic University.

  4. 2022

    An IEEE TCDS paper award

    In 2022, he wins the Outstanding Paper Award of IEEE TCDS.

  5. 2024

    A book on neuromorphic intelligence

    In 2024, he coauthors Neuromorphic Intelligence: Learning, Architectures and Large-scale Systems with Shuangming Yang.

  6. 2025

    An IJCNN deep-learning tutorial

    At IJCNN 2025, he organizes the tutorial Information Bottleneck Methods in Deep Learning with Jose C. Principe and Shujian Yu.

  7. March 2026

    An ensemble graph neural network paper

    In March 2026, he coauthors research that uses an ensemble graph neural network to classify and subtype major depression from functional connectivity.

  8. As of October 2026

    Professor at Xi’an Jiaotong

    He is a professor at the Institute of Artificial Intelligence and Robotics (IAIR), Xi’an Jiaotong University. His research spans signal processing, machine learning, artificial intelligence, neural engineering and robotics. A March 2026 paper lists him with IAIR and the National Key Laboratory of Human-Machine Hybrid Augmented Intelligence at Xi’an Jiaotong University.

Career

  1. NowXi'an Jiaotong UniversityProfessor
  2. 2017Hong Kong Polytechnic UniversitySenior research fellow
  3. 2015Nanyang Technological UniversityVisiting research scientist
  4. 2010–2012University of FloridaPostdoctoral associate
  5. 2008–2010Tsinghua UniversityPostdoctoral researcher

Education

  1. 2008Tsinghua UniversityPh.D.
  2. 2003Chongqing UniversityM.S.
  3. 1997Chongqing UniversityB.S.

Sources and credits

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  1. Brief Bio faculty.xjtu.edu.cn. Checked 20 October 2026.
  2. [1509.04580] Maximum Correntropy Kalman Filter arxiv.org. Checked 20 October 2026.
  3. ICIPMC 2026|Image Processing and Media Computing icipmc.net. Checked 20 October 2026.
  4. Books & Chapters gr.xjtu.edu.cn. Checked 20 October 2026.
  5. Tutorials | IJCNN 2025 2025.ijcnn.org. Checked 20 October 2026.
  6. Functional connectivity–based classification and subtyping of major depression for precision mental health: An ensemble graph neural network approach | PLOS Digital Health journals.plos.org. Checked 20 October 2026.