1. Education And Work Experience
Ø Education Experience
l 2017-2022, School of Mechanical Engineering, Pusan National University, Ph.D. of Engineering
l 2014-2017, School of Electrical Engineering, Southwest Jiaotong University, Master of Engineering
l 2012-2014, Université Paris-Saclay CentraleSupélec, General Engineer/Master of Engineering
l 2010-2014, School of Electrical Engineering, Southwest Jiaotong University, Bachelor of Engineering
Ø Work Experience
l 2024-Present, Sino-German College of Intelligent Manufacturing, Shenzhen Technology University，Assistant Professor
l 2022-2024, Shenzhen Institute of Advanced Technology, Chinese Academic of Science，Postdoc
l 2014, SuperGrid Institute, Lyon, France, Research Intern
l 2013-2014, Centrale Robot Club, CentraleSupélec, Paris, France, Président
2. Research Field And Achievements
Ø Project Experience
[1] China Postdoctoral Science Foundation, General Project, 2023M733653, Continuous control of intelligent lower limb neural prostheses based on non-invasive BCI, 2023/08 - 2024/09, 80k RMB, completed, Independent PI;
[2] China Postdoctoral Science Foundation, Postdoctoral International Exchange Program, None, 2023 Postdoctoral International Academic Exchange Project, 2023/11 - 2024/09, 20k RMB, completed, Independent PI.
Ø Selected Publications
[1] R. Huang, K. Qing, D. Yang, and K.-S. Hong, “Real-time motion artifact removal using a dual-stage median filter,” Biomed. Signal Process. Control, vol. 72, p. 103301, 2022.
[2] R. Huang, K.-S. Hong, C.-L. Bao, and F. Gao, “Real-time motion artifact suppression using convolution neural networks with penalty in fNIRS,” Front. Neurosci., vol. 18, p. 1432138, 2024.
[3] R. Huang, K.-S. Hong, D. Yang, and G. Huang, “Motion artifacts removal and evaluation techniques for functional near- infrared spectroscopy signals,” Front. Neurosci., vol. 16, p. 878750, 2022.
[4] R. Huang and K.-S. Hong, “Multi-channel-based differential pathlength factor estimation for continuous-wave fNIRS,” IEEE Access, vol. 9, pp. 37386-37396, 2021.
[5] W. Chen, R. Huang, L. Chen, and Y. Luo, “A review of electric vehicle’s battery technology,” Journal of Power Supply, vol. 6, p. 166-178, 2018.
[6] R. Huang, W. Shang, Y. Lin, F. Liang, M. Yin, X.-P. Lu, X. W, and Fei Gao, "Interplay between cerebral and muscular activations during motor tasks: An fNIRS-sEMG study," in Proc. 2024 46th IEEE International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), accepted, Orlando, USA, July 15-19, 2024. (Conference paper, EI)
[7] R. Huang and Fei Gao, "Decoupling brain activation of muscle-caused activation and mental intention-cause activation using the general linear model: An functional near-infrared spectroscopy study," in Proc. 2023 45th IEEE International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), p. 10341029, Sydney, Australia, July 24-27, 2023. (Conference paper, EI)
[8] R. Huang, K.-S. Hong, and Fei Gao, "A pilot study for active muscles decoding using functional near-infrared spectroscopy," in Proc. 2023 11th International IEEE EMBS Conference on Neural Engineering (NER 2023), p. 10123845, Baltimore, U.S., April 24-27, 2023. (Conference paper, EI)
[9] R. Huang, D. Yang, and K.-S. Hong, "Remove the motion artifacts in fNIRS using simplified residual fully connected neural networks," in Proc. 2022 13th Asian Control Conference (ASCC), pp. 1359-1364, Jeju, South Korea, May 04-07, 2022. (Conference paper, EI)
3. Teaching Summary
l Microcomputer Principles and Interface Technology;
l Robot Modeling and Simulation;
l English Reading and Writing
