Academic Profile

Automated Driving and Human-Machine System (AutoMan) Research Group

Dr. Lyu Chen (often spelled as Lv Chen) is a Nanyang Assistant Professor of School of Mechanical and Aerospace Engineering, with a joint appointment in School of Electrical and Electronic Engineering, Nanyang Technological University. He is the Director of Automated Driving and Human-Machine System (AutoMan) Research Group, and the Cluster Director in Future Mobility Solutions at ERI@N. He received Bachelor degree in Automotive Engineering from Wuhan Univ. of Technology, China in 2010, and the Ph.D. degree from Department of Automotive Engineering, Tsinghua University, China in 2016. He was a joint PhD researcher at EECS Dept., University of California, Berkeley, USA during 2014-2015, and a Research Fellow at Advanced Vehicle Engineering Center, Cranfield University, UK during 2016-2018. His research focuses on advanced vehicle control and intelligence, where he has contributed 2 books, 2 book chapters, over 100 papers and 12 granted patents.

Dr. Lyu serves as an Academic Editor/Editorial Board Member for SAE International Journal of Electrified Vehicles, International Journal of Vehicle Autonomous Systems, Frontiers in Mechanical Engineering, PLOS ONE, Automotive Innovation, International Journal of Electric and Hybrid Vehicles, and International Journal of Vehicle Systems Modelling and Testing, and a Guest Editor for IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Industrial Informatics, IEEE Intelligent Transportation Systems Magazine, Applied Energy, IEEE Sensors Journal and etc. He received many awards and honors, selectively including the Highly Commended Paper Award of IMechE UK in 2012, the Japan NSK Outstanding Mechanical Engineering Paper Award in 2014, the China SAE Outstanding Paper Award in 2015, the 1st Class Award of China Automotive Industry Scientific and Technological Invention in 2015, the Tsinghua University Graduate Student Academic Rising Star Nomination Award in 2015, the Tsinghua University Outstanding Doctoral Thesis Award in 2016, the Seal of Excellence of EU H2020 Marie Skłodowska-Curie Actions in 2017, the Best Workshop/Special Session Paper Award of IEEE Intelligent Vehicle Symposium in 2018, Automotive Innovation Best Paper Award in 2020, and winner of the INTERPRET Challenge of NeurIPS 2020 competition.

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Asst Prof Lyu Chen
Nanyang Assistant Professor, School of Electrical & Electronic Engineering
Nanyang Assistant Professor, School of Mechanical & Aerospace Engineering

Automated Driving
Human-Machine Systems
Human-in-the-loop AI
Intelligent Electric Vehicles
Vehicle Dynamics and Control
Cyber-Physical Systems
  • Cyber-Physical System Based Design Optimisation of Intelligent Electric Vehicles (CPS-iEV)

  • Deep-Learning-Based Digital Twin Method for Personalized Optimization and Health Monitoring of Electric Vehicles

  • Development of an Electric Propulsion Unit with a Hybrid Engine System and Rim-Driven Fan System for an Aerial Flight System

  • Electric Vehicle Manufacturing

  • P5.1: Brake-by-wire system design and regenerative braking control for AMR

  • P5.2: Omnidirectional chassis system and condition monitoring for cost-efficient AMR

  • PA5: Smart Mechatronic Lab for Industrial Collaborative Robotics in Manufacturing [A*STAR-Funding]

  • PA5: Smart Mechatronic Lab for Industrial Collaborative Robotics in Manufacturing [Schaeffler Funding]

  • Research & Development of Methods for a Holistic Evaluation of AV Safety under Tropical Urban Conditions

  • Thrust A: Smart Mobility & Delivery (IAF-ICP)
  • C. Lv, Y. Li, Y. Xing, C. Huang, D. Cao, Y. Zhao, Y. Liu. Human–Machine Collaboration for Automated Driving Using an Intelligent Two-Phase Haptic Interface. Advanced Intelligent Systems, 2021, in press.

  • P. Hang, C. Lv, Y. Xing, C. Huang, Z. Hu. Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach, IEEE Transactions on Intelligent Transportation Systems, 2020, in press.

  • Z. Huang, C. Lv, Y. Xing, J. Wu. Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding, IEEE Sensors Journal, 2020, in press.

  • Y. Xing, C. Lv, et al. An Ensemble Deep Learning Approach for Driver Lane Change Intention Inference, Transportation Research Part C, 115: 102615, 2020.

  • Y. Xing, C. Lv, et al. Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach, IEEE Trans. on Vehicular Technology, 68(6), 5379 - 5390, 2019.

  • C. Lv, X. Hu, A. Sangiovanni-Vincentelli, et al. Driving-style-based co-design optimization of an automated electric vehicle: a cyber-physical system approach. IEEE Trans. on Industrial Electronics, 66(4), 2965-2975, 2019.

  • C. Lv, D Cao, et al. Simultaneous observation of hybrid states for cyber-physical systems: a case study of electric vehicle powertrain. IEEE Trans. on Cybernetics, 48(8): 2357-2367, 2018.

  • C. Lv, Y. Xing, et al. Levenberg-marquardt backpropagation training of multilayer neural networks for state estimation of a safety critical cyber-physical system, IEEE Trans. on Industrial Informatics, 14(8): 3436-3446, 2018.