Hu Zhongxu




Academic Areas: Digital and Intelligent Manufacturing, Human-Machine Interaction & Collaboration, Digital Twin driven Prognostics and Health Management

Professor Hu was born in May 1993 and received the Ph.D. degrees in mechanical engineering from the Huazhong University of Science and Technology (HUST), Wuhan, China, in 2018. And then, he worked as a Senior Engineer at Shanghai Huawei Technologies Co.,Ltd, a Research Fellow at Nanyang Technological University in Singapore, and a Research Scientist at RIKEN in Japan, respectively. He was selected in National Overseas High Level (Youth) Talents Program, as well as other talent programs. He was appointed full professor at Huazhong University of Science and Technology in May 2024.

He is interested in Digital and Intelligent Manufacturing Systems and has participated across multiple key R&D programs, including the Singapore National Robotics Programme etc. He has one book published by Springer, over 50 publications, and seven patents. He also served as the Guest/Associate Editor for several journals and as the conference Session Chair.


Academic Degrees

09/2009-06/2013 Zhejiang University of Technology, Hangzhou, China B.Eng.

09/2013-12/2018 Huazhong University of Science and Technology, Wuhan, China Ph.D.    




Professional Experience

05/2024-present, Research Fellow, School of Mechanical Science and Engineering, HUST, China

06/2023-05/2024, Research Scientist, Advanced Intelligence Project, RIKEN, Japan

01/2020-04/2023, Research Fellow, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

02/2019-01/2020, Senior Engineer, CBG, Shanghai Huawei Technologies Co., Ltd., China

Selected Publications


[1]  Z. Hu, C. Lv. “Vision-based Human Activity Recognition”, Springer, 2022. ISBN: 978-981-19-2289-3.


[1]  Z. Hu, C. Lv, P. Hang, C. Huang and Y. Xing, Data-Driven Estimation of Driver Attention Using Calibration-Free Eye Gaze and Scene Features, IEEE Transactions on Industrial Electronics, vol. 69, no. 2, pp. 1800-1808, Feb. 2022. (ESI Highly Cited PaperESI Hot Paper)

[2]  Z. Hu, Y. Wang, M. Ge, J. Liu. Data-driven fault diagnosis method based on compressed sensing and improved multiscale network. IEEE Transactions on Industrial Electronics, 67(4), 3216-3225, 2019. (ESI Highly Cited Paper

[3]  Z. Hu, Y. Zhang, Y. Xing, Y. Zhao, D. Cao, C. Lv. Toward Human-Centered Automated Driving: A Novel Spatiotemporal Vision Transformer-Enabled Head Tracker, IEEE Vehicular Technology Magazine, doi: 10.1109/MVT.2021.3140047, 2022. (ESI Highly Cited Paper)

[4]  Z. Hu, Y. Xing, D. Cao, C. Lv. Driver Anomaly Quantification for Intelligent Vehicles: A Contrastive Learning Approach with Representation Clustering, IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2022.3163458, 2022. (ESI Highly Cited Paper)

[5]  Z. Hu, Y. Xing, D. Cao, C. Lv. Review and Perspectives on Driver Digital Twin and Enabling Technologies for Intelligent Vehicles, IEEE Transactions on Intelligent Vehicles, 2022. (IEEE Popular Paper)

[6]  Z. Hu, Y. Zhang, Q.Li, C. Lv. A Novel Heterogeneous Network for Modeling Driver Attention with Multi-level Visual Content. IEEE Transactions on Intelligent Transportation Systems, 2022.

[7]  Z. Hu, Y. Cai, Q. Li, K. Su, and C. Lv. Context-aware Driver Attention Estimation Using Multi-hierarchy Saliency Fusion with Gaze Tracking, IEEE Transactions on Intelligent Transportation Systems, 2023.

[8]  Z. Hu, R. Tan, Y. Zhou, J. Woon, and C. Lv. Template-based Category-Agnostic Instance Detection with Human Guidance for Adaptive Robotic Manipulation, IEEE Robotics & Automation Letters, 2022.

[9]  Z. Hu, Y. Xing, C. Lv, P. Hang, J. Liu. Deep convolutional neural network-based Bernoulli heatmap for head pose estimation. Neurocomputing, 436, 198-209, 2021.

[10]  Z. Hu, Y. Hu, J. Liu, B. Wu, D. Han, T. Kurfess. 3D separable convolutional neural network for dynamic hand gesture recognition. Neurocomputing, 318, 151-161, 2018.

Awards and Honors

[1]  Actuators 2023 Travel Award

[2]  2nd(sAUC), 1st(AUC) SALICON Saliency Prediction Challenge (LSUN 2017)

[3  The Third “China Chuangyi” Excellent Project


Courses Taught

Undergraduate Courses:

Fundamentals of Mechanical Engineering Control



[1]  NTU-Continental Corporate Lab Project (A6)Cobot with Adaptive aAGV (S$ 1,076,730, 2021.08-2023.04)

[2]  Singapore A*Star National Robotics Programme(1922500046)Intelligent shared control interface for aging operators of heavy machineries (S$ 985,000, 2020.01-2022.08)

[3]  Alibaba-NTU Corporate Lab Project (AN-GC-2020-013)Human-machine collaboration for safe operation of automated vehicles (S$ 36,000, 2021.03-2022.07)