Associate Professor
Phone:
Email: jjy_liang@hust.edu.cn
Academic Areas: Human-machine hybrid intelligent systems, Brain-computer interfaces, Nervous system and brain cognition.
Dr. Liang Jiejunyi is an Associate Professor and Doctoral Supervisor at Huazhong University of Science and Technology (HUST), and a recipient of the Hubei Provincial Major Talent Project. He received his undergraduate degree from HUST and his PhD from the University of Technology Sydney. His main research areas include human-machine hybrid intelligent systems, brain-computer interfaces, and the nervous system and brain function cognition. He has led projects funded by the National Key Research and Development Program of China, the National Natural Science Foundation of China (NSFC) (General Program and Youth Program), the Hubei Provincial Natural Science Foundation (General Program), the Wuhan Municipal Key Research and Development Program, the National Key Laboratory of Intelligent Manufacturing Equipment and Technology (Independent Project), the National Key Laboratory of Robotics Technology and Systems (Open Fund), and the HUST STAR Independent Innovation Research Fund. He has also participated in the NSFC National Major Scientific Instrument Development Project. He has published over 30 first/corresponding SCI papers, including in Nature sub-journals and Cell sub-journals. Representative journals include Nature Communications (Nature), iScience (Cell), IEEE Transactions on Robotics, Mechanical Systems and Signal Processing, Mechanism and Machine Theory, and Expert Systems with Applications. He holds over 10 invention patents. Research achievements have won numerous awards, including the "Challenge Cup" National Hengxing Award (First Prize), the "Youth Innovation" National Gold Award (First Prize), and the World Robot Competition National First Prize. He was recognized as an Outstanding Instructor in the National College Student Innovation and Entrepreneurship Competition, and three of his graduate students received the "National Scholarship." He serves as a guest editor for SCI journals and has consecutively chaired a session at the International Conference on Intelligent Robots and Their Applications (ICIRA).
Academic Degrees
B. Eng. Sep. 2008 - Jun. 2012, University of Science and Technology (Mechanical Engineering)
M.Sc. Sep. 2012 - Jun. 2015, University of Macau (Electromechanical Engineering)
Ph.D. Sep. 2015 - Mar. 2019, University of Technology Sydney (Mechanical Engineering)
Professional Experience
Jul. 2019 – Present, Associate Professor, School of Mechanical Science and Engineering, HUST
Mar. 2019 - Jul. 2019, Assistant Researcher, University of Technology Sydney
Oct. 2017 - Jan. 2018, Assistant Researcher, University of Technology Sydney
Selected Publications
[1] Chen W†, Liang J†, Wu Q, Han Y*. Anterior cingulate cortex provides the neural substrates for feedback-driven iteration of decision and value representation[J]. Nature Communications, 2024, 15(1): 6020.
[2] Wang T†, Wu J†, Liu J, Liu Y, Liang J*. Evaluation and optimal design of suspended backpacks considering the system instability introduced by load fluctuations[J]. Mechanical Systems and Signal Processing, 2025, 231: 112701.
[3] Sun B, Gong X, Liang J*, Chen W, Xie Z, Liu C, Xiong C*. Design principle of a dual-actuated robotic hand with anthropomorphic self-adaptive grasping and dexterous manipulation abilities[J]. IEEE Transactions on Robotics, 2022, 38(4): 2322-2340.
[4] Wu Q, Yang X, Wang K, Zhu M*, Liang J*, Han Y*. “PyTDL”: a versatile temporal difference learning algorithm to simulate behavior process of decision making and cognitive learning[J]. iScience, 2025, 28(1): 111600.
[5] Wang P†, Cao Y†, Chen Z, Ma B*, Han Y*, & Liang, J*. Predictive Torque Assistance for Balance Recovery: A Task-Level Feature Model for Knee Exoskeletons[J]. Expert Systems With Applications, 2026,309: 131264.
Awards and Honors
Hubei Provincial Major Talent Project
"Challenge Cup" National Hengxing Award (First Prize)
"Youth Innovation" National Gold Award (First Prize)
Courses Taught
Undergraduate courses: Principles of Machinery, Engineering Drawing (I).
Graduate courses: Robotic Manipulation Systems, Frontiers in Neuroscience.
Centers/Programs
[1] National Key Research and Development Program of China, “Design and Compliant Control of Prosthetic Arm Dexterity and Adaptability Mechanism”, Project No.: 2020YFC2007802, Principal Investigator.
[2] National Natural Science Foundation of China, “Reproduction of Human Fine Motion Based on Direct Analysis of Wrist Joint Complete Movement Intent and Synchronous Reconstruction of Force-Position Space”, Project No.: 52475017, Principal Investigator.
[3] National Natural Science Foundation of China, “Research on Force-Position Coordination Law and Reproduction Method in Human Balance Recovery Movement”, Project No.: 52005191, Principal Investigator.
[4] Hubei Provincial Natural Science Foundation, “Research on the Mechanism of Human Motion State Recognition and Motion Intent Prediction Based on Multi-Signal Fusion”, Project No.: 2020CFB424, Principal Investigator.
[5] Wuhan Municipal Key Research and Development Program, “Research and Application of Full-Element Addressable CMUT-ASIC High Spatiotemporal Resolution Ultrasonic Brain-Computer Interface Technology”, Project No.: 2025061202030420, Principal Investigator.
[6] Independent research project of the State Key Laboratory of Intelligent Manufacturing Equipment and Technology, “Research on Robot Special Operation Control Method Based on Human Natural Movement Stability Adjustment Strategy”, Project No.: IMETZZ2024008, Principal Investigator.
[7] Open Fund of the State Key Laboratory of Robotics Technology and Systems, “Modulation Mechanism and Reproduction Principle of Knee Joint Torque in Balance Recovery Movement”, Project No.: SKLRS2025KF08, Principal Investigator.
[8] National Major Scientific Instrument Development Project of the National Natural Science Foundation of China, “Spacesuit Embedded Intention-Driven Manipulator to Enable Astronauts to Perform Extravehicular Dexterous Operations”, Project No.: 52027806, Participant.
