Academic Profile : Faculty
Assoc Prof Lyu Chen
Associate Professor, School of Mechanical & Aerospace Engineering
Associate Professor, School of Electrical & Electronic Engineering
Email
External Links
Controlled Keywords
User Keywords (optional)
Automated Driving and Human-Machine System (AutoMan) Research Lab
https://lvchen.wixsite.com/automan
Dr. LYU, Chen (often spelled as Chen Lv) is an Associate Professor at School of Mechanical and Aerospace Engineering, Nanyang Technological University. He also holds a joint appointment with School of Electrical and Electronic Engineering. He is Director of Automated Driving and Human-Machine System (AutoMan) Research Lab, Cluster Director in Future Mobility Solutions at ERI@N, the Thrust Lead in Smart Mobility and Delivery at Continental-NTU Corp Lab, and the Program Lead in Next Generation AMR, Schaeffler-NTU Joint Lab. He received his Ph.D. degree from Department of Automotive Engineering, Tsinghua University, China in 2016, with a joint PhD from EECS Dept., University of California, Berkeley, USA. Before joining NTU as a Nanyang Assistant Professor in June 2018, he was a Research Fellow at Advanced Vehicle Engineering Center, Cranfield University, UK during 2016-2018. His research focuses on autonomous driving, human-machine collaboration, robotics, and CPS, where he has contributed 4 books, over 100 papers, and 12 granted patents.
He serves as Associate Editor for many top tier journals, including IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Vehicular Technology, and IEEE Transactions on Intelligent Vehicles, etc. He is elected as IEEE VTS Motor Vehicles Committee Member, the only delegate from Asia. He has received many honors and awards, selectively: SAE Ralph R. Teetor Educational Award (2023), Nanyang Research Award (Young Investigator) 2022, the Machines Young Investigator Award (2021), winner of Waymo Open Dataset Challenge (2022 and 2021), winner of IEEE VTS Motor Vehicles Challenge (2022), EVS’34 Excellent Paper Award (2021), Automotive Innovation Best Paper Award (2020) and IEEE Intelligent Vehicle Symposium Best Paper Award (2018).
Personal Homepage
AutoMan Group: https://lvchen.wixsite.com/automan
Google Scholar: https://scholar.google.com/citations?user=UKVs2CEAAAAJ&hl=en
ResearchGate: https://www.researchgate.net/profile/Chen_Lv2
https://lvchen.wixsite.com/automan
Dr. LYU, Chen (often spelled as Chen Lv) is an Associate Professor at School of Mechanical and Aerospace Engineering, Nanyang Technological University. He also holds a joint appointment with School of Electrical and Electronic Engineering. He is Director of Automated Driving and Human-Machine System (AutoMan) Research Lab, Cluster Director in Future Mobility Solutions at ERI@N, the Thrust Lead in Smart Mobility and Delivery at Continental-NTU Corp Lab, and the Program Lead in Next Generation AMR, Schaeffler-NTU Joint Lab. He received his Ph.D. degree from Department of Automotive Engineering, Tsinghua University, China in 2016, with a joint PhD from EECS Dept., University of California, Berkeley, USA. Before joining NTU as a Nanyang Assistant Professor in June 2018, he was a Research Fellow at Advanced Vehicle Engineering Center, Cranfield University, UK during 2016-2018. His research focuses on autonomous driving, human-machine collaboration, robotics, and CPS, where he has contributed 4 books, over 100 papers, and 12 granted patents.
He serves as Associate Editor for many top tier journals, including IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Vehicular Technology, and IEEE Transactions on Intelligent Vehicles, etc. He is elected as IEEE VTS Motor Vehicles Committee Member, the only delegate from Asia. He has received many honors and awards, selectively: SAE Ralph R. Teetor Educational Award (2023), Nanyang Research Award (Young Investigator) 2022, the Machines Young Investigator Award (2021), winner of Waymo Open Dataset Challenge (2022 and 2021), winner of IEEE VTS Motor Vehicles Challenge (2022), EVS’34 Excellent Paper Award (2021), Automotive Innovation Best Paper Award (2020) and IEEE Intelligent Vehicle Symposium Best Paper Award (2018).
Personal Homepage
AutoMan Group: https://lvchen.wixsite.com/automan
Google Scholar: https://scholar.google.com/citations?user=UKVs2CEAAAAJ&hl=en
ResearchGate: https://www.researchgate.net/profile/Chen_Lv2
Automated Driving
Human-Machine Systems
Human-in-the-loop AI
Intelligent Electric Vehicles
Vehicle Dynamics and Control
Cyber-Physical Systems
Human-Machine Systems
Human-in-the-loop AI
Intelligent Electric Vehicles
Vehicle Dynamics and Control
Cyber-Physical Systems
- AI-ATCO Trust & Human Factor
- ATTAIN*SG: Achieving public TrusT in AI in autoNomous vehicles in SinGapore
- Development of Electric Vertical Take-Off and Landing (eVTOL) Aircraft in Singapore
- Future Airspace Architecture Fostering Human-AI Hybrid Automation to Cater to Future Air Traffic Demand
- High-Fidelity Tele-operations
- Human-Machine Shared Control for Intelligent Safety and Energy of Smart Vehicles (HM Science)
- Interaction-Aware Predictive Decision-Making for Human-Like Autonomous Driving: A Hybrid-Learning-Based Codesign Approach
- 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]
- Participation In Abu Dhabi Autonomous Racing League (A2RL) Competition
- Thrust A: Smart Mobility & Delivery (IAF-ICP)
- Thrust A: Smart Mobility & Delivery (RCA)
- Towards Building Unified Autonomous Vehicle Scene Representation for Physical AV Adversarial Attacks and Visual Robustness Enhancement
- Towards human-like autonomy: driver-style-oriented motion control using deep neural networks for personalized autonomous driving
- WP 4.2 - Development of Electric Vertical Take-Off and Landing (eVTOL) Aircraft in Singapore
Awards
Best Paper Runner-Up Award, IEEE ITSC 2023
Innovation Prize, nuPlan Planning Challenge, CVPR 2023
3rd place, Motion Prediction Track, Waymo Open Dataset Challenges, CVPR 2023
Ralph R. Teetor Educational Award, SAE International, USA 2023
Nanyang Research Award (Young Investigator) 2022
Machines Young Investigator Award, Switzerland 2022
Most Innovative Award, Driving SMARTS Competition, NeurIPS, USA 2022
2nd Place, Occupancy and Flow Prediction Challenge, Waymo Open Dataset Challenges, CVPR, USA 2022
Winner, Motor Vehicles Challenge, IEEE Vehicular Technology Society 2022
Best Paper Runner Up, International Conference on Vehicular Control and Intelligence (CVCI) 2022
Top Reviewer, SAE International Journal of Vehicle Dynamics, Stability, and NVH 2022
Best Student Paper Award, IEEE ITSC 2022
Outstanding Student Paper Award, IEEE Intl. Conf. on Digital Twins & Parallel Intelligence 2021
Excellent Paper Award, The 34th International Electric Vehicle Symposium & Exhibition (EVS34) 2021
1st Place, Interaction Prediction Challenge, Waymo Open Dataset Challenges, CVPR, USA 2021
2nd Place, Motion Prediction Challenge, Waymo Open Dataset Challenges, CVPR, USA 2021
1st Prize, INTERPRET Challenge, NeurIPS competition 2020
Automotive Innovation Best Paper Award 2020
Best Workshop/Special Session Paper Award, IEEE Intelligent Vehicle Symposium 2018
Nanyang Assistant Professorship, Nanyang Technological University, Singapore, 2018
China SAE Outstanding Doctoral Dissertation Award 2018
Young Elite Scientist, China Association for Science and Technology 2017
Seal of Excellence, High-Quality Project Proposal, EU H2020 Marie Skłodowska-Curie Actions 2017
Outstanding Doctoral Dissertation Award, Tsinghua University 2016
Outstanding Ph.D. Graduate, Tsinghua University 2016
1st Class Award of China Automotive Industry Scientific and Technological Invention 2015
1st Class Award of Beijing Scientific and Technological Progress 2015
Graduate Student Academic Rising Star Nomination Award, Tsinghua University 2015
Outstanding Paper Award, Society of Automotive Engineers, China 2015
NSK Sino-Japan Friendship Outstanding Mechanical Engineering Paper Prize 2014
1st Class of Tsinghua-Volvo Comprehensive Excellence Scholarship 2014
Highly Commended Paper Award, Institution of Mechanical Engineers, UK 2013
National Fellowship for Doctoral Student, Ministry of Education of China 2013
Excellent Individual of Graduate Social Practice of Tsinghua University 2012
1st Class Scholarship of Comprehensive Excellence of Tsinghua University 2011
Outstanding Graduate, Wuhan University of Technology 2010
Youth Five-four Medal of Wuhan University of Technology 2010
National Scholarship for College Student, Ministry of Education of China 2009
4th Prize of Honda Eco-power Competition of China 2008
National Scholarship for College Student, Ministry of Education of China 2008
Innovation Prize, nuPlan Planning Challenge, CVPR 2023
3rd place, Motion Prediction Track, Waymo Open Dataset Challenges, CVPR 2023
Ralph R. Teetor Educational Award, SAE International, USA 2023
Nanyang Research Award (Young Investigator) 2022
Machines Young Investigator Award, Switzerland 2022
Most Innovative Award, Driving SMARTS Competition, NeurIPS, USA 2022
2nd Place, Occupancy and Flow Prediction Challenge, Waymo Open Dataset Challenges, CVPR, USA 2022
Winner, Motor Vehicles Challenge, IEEE Vehicular Technology Society 2022
Best Paper Runner Up, International Conference on Vehicular Control and Intelligence (CVCI) 2022
Top Reviewer, SAE International Journal of Vehicle Dynamics, Stability, and NVH 2022
Best Student Paper Award, IEEE ITSC 2022
Outstanding Student Paper Award, IEEE Intl. Conf. on Digital Twins & Parallel Intelligence 2021
Excellent Paper Award, The 34th International Electric Vehicle Symposium & Exhibition (EVS34) 2021
1st Place, Interaction Prediction Challenge, Waymo Open Dataset Challenges, CVPR, USA 2021
2nd Place, Motion Prediction Challenge, Waymo Open Dataset Challenges, CVPR, USA 2021
1st Prize, INTERPRET Challenge, NeurIPS competition 2020
Automotive Innovation Best Paper Award 2020
Best Workshop/Special Session Paper Award, IEEE Intelligent Vehicle Symposium 2018
Nanyang Assistant Professorship, Nanyang Technological University, Singapore, 2018
China SAE Outstanding Doctoral Dissertation Award 2018
Young Elite Scientist, China Association for Science and Technology 2017
Seal of Excellence, High-Quality Project Proposal, EU H2020 Marie Skłodowska-Curie Actions 2017
Outstanding Doctoral Dissertation Award, Tsinghua University 2016
Outstanding Ph.D. Graduate, Tsinghua University 2016
1st Class Award of China Automotive Industry Scientific and Technological Invention 2015
1st Class Award of Beijing Scientific and Technological Progress 2015
Graduate Student Academic Rising Star Nomination Award, Tsinghua University 2015
Outstanding Paper Award, Society of Automotive Engineers, China 2015
NSK Sino-Japan Friendship Outstanding Mechanical Engineering Paper Prize 2014
1st Class of Tsinghua-Volvo Comprehensive Excellence Scholarship 2014
Highly Commended Paper Award, Institution of Mechanical Engineers, UK 2013
National Fellowship for Doctoral Student, Ministry of Education of China 2013
Excellent Individual of Graduate Social Practice of Tsinghua University 2012
1st Class Scholarship of Comprehensive Excellence of Tsinghua University 2011
Outstanding Graduate, Wuhan University of Technology 2010
Youth Five-four Medal of Wuhan University of Technology 2010
National Scholarship for College Student, Ministry of Education of China 2009
4th Prize of Honda Eco-power Competition of China 2008
National Scholarship for College Student, Ministry of Education of China 2008
Courses Taught
MA1008 Introduction to Computational Thinking
MA3704 Aircraft Electrical Systems
MA4890 Autonomous Driving
MA3704 Aircraft Electrical Systems
MA4890 Autonomous Driving
Supervision of PhD Students
Mo Xiaoyu (2022) - Deep Learning-Based Interaction-Aware Trajectory Prediction for Autonomous Vehicles
Andrea Piazzoni (2023) - MODELING PERCEPTION ERRORS IN AUTONOMOUS VEHICLES AND THEIR IMPACT ON BEHAVIOR
Cai Jiacheng (2023) - Interactive Decision-Making For Autonomous Vehicles based on A Theory of Order
Wu Jingda (2023) - Human-Guided Reinforcement Learning: Methodology and Application to Autonomous Driving
Andrea Piazzoni (2023) - MODELING PERCEPTION ERRORS IN AUTONOMOUS VEHICLES AND THEIR IMPACT ON BEHAVIOR
Cai Jiacheng (2023) - Interactive Decision-Making For Autonomous Vehicles based on A Theory of Order
Wu Jingda (2023) - Human-Guided Reinforcement Learning: Methodology and Application to Autonomous Driving