Xu Guangyuan, Distinguished Researcher at Beijing University of Posts and Telecommunications (BUPT), Ph.D./M.S. Supervisor, former assistant to Academician Zhong Yixin (former Vice President of BUPT and former Chairman of the Chinese Association for Artificial Intelligence), core member of the Mechanismism General Artificial Intelligence Theory team, Guest Faculty at Shanghai Jiao Tong University’s National Strategy Institute, National Natural Science Foundation of China (NSFC) Project Reviewer, Founding Member of the Embodied Intelligence Committee of the Chinese Association for Artificial Intelligence (CAAI), Member of the Intelligent Robotics Committee of the China Computer Federation (CCF), Expert of the China Information Industry Association, Senior Member of CAAI, Senior Member of the Chinese Institute of Command and Control, and Senior Member of the Chinese Institute of Electronics.

As an A-class talent introduced by BUPT, he was awarded the inaugural Tsinghua University "Shuimu Scholar," Gold Medal in the National Postdoctoral Innovation and Entrepreneurship Competition, "National Outstanding Innovative Postdoctoral," recipient of the NSFC Postdoctoral International Exchange Program, Council Member of the China Brain-Computer Interface Industry Alliance, Part-time Mentor at Shenzhen Zero-One College, Member of the Western Returned Scholars Association, Senior Member of IEEE, Member of ACM, and invited speaker at the National Science and Technology Week.

In September 2019, he graduated from the University of Auckland (QS World Ranking 68) under the supervision of New Zealand Royal Society Academician Prof. Jadranka Travas-Sejdic, earning a Ph.D. in Bioelectronics and Artificial Intelligence. His dissertation, "Laser scribed graphene: fabrication and electrochemical biosensors for neurotransmitters," was awarded the University of Auckland Outstanding Doctoral Thesis (Dean's Honour List), making him the first Chinese international student to receive this honor in the 21st century.

His research focuses on brain-inspired cognitive systems and robotic cognitive intelligence, with pioneering contributions in embodied AI large models and dexterous robotic manipulation. He explores multimodal perception-decision-control integrated architectures, merging biologically inspired cognitive mechanisms with robotic autonomous intelligence to advance brain-computer interfaces (BCI), intelligent decision-making, and dexterous manipulation. He has published 14 papers in top-tier journals (Advanced Science, Biosensors and Bioelectronics, ACS Applied Materials & Interfaces, Carbon, Applied Materials Today, Device), including 6 first-authored papers with 700+ citations. Among these, 6 are first-authored papers in CAS Q1 Top Journals, and 1 is an ESI Highly Cited Paper (with a single paper cited 320+ times since 2018). He holds 2 authorized national patents.

He has received prestigious scholarships, including the New Zealand MBIE Scholarship, University of Auckland Scholarship, and Polymer Electronics Research Centre Scholarship, and participated in 2 NZ national research projects. In China, he has led projects such as the NSFC Youth Program, Beijing Natural Science Foundation General Program, and Shanghai Brain-Computer Interface Innovation Project, while contributing to the China Brain Initiative and other national key R&D programs.

As an active reviewer for Nature Communications and Nano Energy, he serves as Associate Editor for the Advanced Intelligent Systems Smart Materials Special Issue and Young Editorial Board Member of Brain Apparatus Communication: A Journal of Bacomics.

Political Role

• Member of the 12th Central Committee of Science and Technology, China Democratic League

• Deputy Secretary-General of the Beijing Education Development Research Committee, China Democratic League

• Lead Researcher of the Beijing AI Empowerment for Future Industries Project

Postdoctoral & Research Career

Returning to China in May 2019, he conducted postdoctoral research at Tsinghua University’s School of Aerospace Engineering and the Flexible Electronics Technology Laboratory, honing his skills in the prestigious "Aerospace for the Nation" engineering program. Selected for the inaugural Tsinghua "Shuimu Scholar" Program (2019), NSFC Postdoctoral International Exchange Program (2019), and Academic Exchange Program (2020), he has led multiple national and municipal projects, including:

• NSFC Youth Program (2021)

• Beijing Natural Science Foundation General Program

• Shanghai BCI Development Fund

• Key Laboratory Open Project

• Postdoctoral International Academic Exchange Fund

• 2 National Ministry of Science and Technology Projects

• National Active Health Key R&D Program

In January 2022, he won the Gold Medal in the National Postdoctoral Innovation Competition and was named "National Outstanding Innovative Postdoctoral." His postdoctoral work at Tsinghua was rated "Excellent."

Current Academic & Industry Roles

• BUPT A-class Talent (2021–Present)

• Council Member, China Brain-Computer Interface Industry Alliance (with Prof. Zhang Hongxin)

• Founding Member, CAAI Embodied Intelligence Committee

• Member, CCF Intelligent Robotics Committee

• Member, China Society of Image and Graphics Brain Atlas Committee

• Member, China Society of Graphics Visualization & Cognitive Computing Committee

• AI Senior Advisor, Beijing Zhiliao Tech (National High-Tech Enterprise)

• Senior Researcher, Huashu Academy of Sciences

Research Vision

Our group investigates human brain-inspired multimodal information processing mechanisms, transferring their core principles to robotic cognitive systems. By integrating neuroscience and machine learning, we focus on:

1. Brain-inspired multimodal perception fusion architectures

2. Cross-modal representation transfer learning algorithms

3. Brain-machine interactive decision-making in embodied intelligence

The goal is to develop a next-generation "machine brain" capable of autonomous dexterous manipulation, overcoming current limitations in environmental understanding and adaptive control. Our interdisciplinary research spans:

• BCI decoding

• Embodied AI computational models

• Multimodal perception-decision fusion
  We aim to pioneer human-like intelligent operating systems, "giving machines a mind."

Global Collaborations & Talent Development

With a strategic, cutting-edge, and international vision, we cultivate "patriotic, globally minded" young scholars. Our collaborators include:

• Tsinghua CS, Auckland Uni Robotics, Cambridge Neuroscience, NUS Embodied AI Lab

• Osaka Uni Intelligent Science, HKU Autonomous Decision Lab, Peking Uni ISC

• Tianjin Uni Biomedical Eng, Tsinghua Materials, Beihang Robotics, Oxford Neuro-Social Computing

• PLA General Hospital, Peking Union Medical College, Xuanwu Hospital Neurology

Exceptional students may be recommended for further studies at top global institutions (New Zealand, UK, Japan, Sweden, Hong Kong, Australia, Singapore, Netherlands, Denmark, or China’s C9 League).

Recruitment

We welcome 1–2 Ph.D. and 3–4 M.S. candidates annually in Intelligent Science & AI. Scholars worldwide are invited to collaborate or visit.

Contact us to apply or explore partnerships!