Background of Education and Work Experience

• February, 2013 ~ Present: Professor, Doctoral Supervisor, Chongqing University, P. R. China

• February, 2007 ~ February, 2013: Leader, Specialist, Chongqing Chang'an Automobile Co., Ltd., P. R. China

• February, 2007, Ph.D. in Mechanical Engineering, Department of Automotive Engineering, Tsinghua University, P. R. China

• July, 2001, B.S. in Automotive Engineering, Department of Automotive Engineering, Tsinghua University, P. R. China

Research Field

• Perception, decision and control, test and evaluation of ICV

• Simulation and development of vehicle-level EMC

• Optimization and coordinated control of multi-agent system

• Robust, optimal and adaptive control theory

• Intelligent algorithms with application to vehicle

Research and Honors

• March, 2018 ~Present: Specialist, Chongqing Industry Union for Intelligent & Connected Vehicle

• June, 2018 ~Present: Assistant Director, Technology Center of Passenger Car, Dongfeng Liuzhou Automobile Co., Ltd., P. R. China

• September, 2017 ~Present: Special Expert, China Automobile Engineering Research Institute Co., Ltd.

• January, 2015 ~Present: Special Expert, China Automotive Technology Research Center.

• 2020: Technical Progress Award of China Automotive Industry，Second Class, Development and application of key technologies for Chang’an intelligent vehicle platform

• 2019: Technical Progress Award of Chongqing, Second Class, Prediction & Analysis of Vehicle Level EMC Performances

• 2018: Technical Progress Award of China Automotive Industry，Second Class, Key Technologies of Prediction & Analysis for Vehicle Level EMC Performances

• 2018: Best Award of Automatic Driving Technology, International Intelligent Industry Expo.

• 2017: Technical Progress Award of China Automotive Industry，Third Class,，Development & Application of Key Technologies of Automotive ESC System

• 2016: Best Paper Award of Chongqing Electrical Engineering Society, First Class, Systematic EMC prediction technique based on multi-port network theory

• 2016: Keynote Speech at “IET International Conference on Intelligent and Connected Vehicles” & “3rd Annual International Conference on Design, Manufacturing and Mechatronics”

• 2015: Special Application Award of NI Graphical System Design, Development of Driving Assistance Based on Vision by Using NI EVS & PXI

Representative Journal Articles（* indicates the corresponding author）

• Feng Gao*, Qiang Zhang, Zaidao Han and et al. (2021) Evolution test by improved GA with application to performance limit evaluation of APPS. IET Intelligent Transport Systems, online, DOI: 10.1049/itr2.12058

• Feng Gao*, Dongfang Dang, Yingdong He. (2020) Robust coordinated control of nonlinear heterogeneous platoon interacted by uncertain topology. IEEE Transactions on Intelligent Transportation Systems, online, DOI: 10.1109/TITS.2020.3045107

• Feng Gao*, Jianli Duan, et al. (2020) Automatic virtual test technology for intelligent driving systems considering both coverage and efficiency. IEEE Transactions on Vehicular Technology, 69(12):14365-14376, DOI: 10.1109/TVT.2020.3033565

• Fengmin Tang, Feng Gao*, Zilong Wang. (2020) Driving Capability Based Transition Strategy for Cooperative Driving: From Manual to Automatic. IEEE Access, 8:139013-139022, DOI: 10.1109/ACCESS.2020.3012671

• Feng Gao*, Caimei Wang. (2020) A hybrid strategy for traffic light detection by combining classical and self-learning detectors. IET Intelligent Transport Systems, 14 (7):735-741, DOI: 10.1049/iet-its.2019.0782

• Keqiang Li, Shengbo Li, Feng Gao* and et al. (2020) Robust Distributed Consensus Control of Uncertain Multi-Agents Interacted by Eigenvalue-Bounded Topologies. IEEE Internet of Things Journal, Online, DOI: 10.1109/JIOT.2020.2973927

• Jianli Duan, Feng Gao*, Yingdong He. (2020) Test Scenario Generation and Optimization Technology for Intelligent Driving Systems. IEEE Intelligent Transportation Systems Magazine, Online, DOI: 10.1109/MITS.2019.2926269

• Feng Gao*, Hanzhe Dai, Jiawei Qi. (2019) Vehicle-level electromagnetic compatibility prediction based on multi-port network theory. International Journal of Automotive Technology, 20(6): 1277-1285

• Feng Gao*, Hanzhe Dai, Cunxue Wu. (2019) A topological approach to model and improve vehicle-level electromagnetic radiation. International Journal of RF and Microwave Computer-aided Engineering, 29(10): e21904

• Keqiang LI, Feng GAO*, Shengbo Eben LI and et al. (2018) Robust cooperation of connected vehicle systems with eigenvalue-bounded interaction topologies in the presence of uncertain dynamics. Frontiers of Mechanical Engineering, 13(3):354-367

• Feng Gao*, Xiaosong Hu, Shengbo Eben Li and et al. (2018) Distributed adaptive sliding mode control of vehicular platoon with uncertain interaction topology. IEEE Transactions on Industrial Electronics, 65(8):6352-6361

• Shenbo Eben Li, Feng Gao*, Keqiang Li and et al. (2018) Robust longitudinal control of multi-vehicle systems-a distributed H-infinity method. IEEE Transactions on Intelligent Transportation Systems, 19(9):2779-2788

• Feng Gao*, Dongfang Dang, Shengbo Eben Li and et al. (2017) Control of large model mismatch system using multiple models. International Journal of Control Automation and Systems, 15(4):1494-1506

• Li Shengbo Eben, Gao Feng*, Cao Dongpu and et al. (2016) Multiple-model switching control of vehicle longitudinal dynamics for platoon level automation. IEEE Transactions on Vehicular Technology, 65(6):4480-4492

• Gao Feng, Li Shengbo Eben*, Zhen Yang and et al. (2016) Robust control of heterogeneous vehicular platoon with uncertain dynamics and communication delay. IET Intelligent Transport Systems, 10(7):503-513

Granted patents

• Feng Gao, Chengkai Ye, Hanzhe Dai. Prediction of low frequency emission of electric vehicle generated by common mode interference of high voltage system. Invention Patent, Granted on June 2, 2020, ZL 201711400164.3 (China)

• Feng Gao, Dongfang Dang, Hui Lu, Yiheng Yang. A vehicle warning method and system. Invention Patent, Granted on June 7, 2019, ZL 201710230518.8 (China)

• Feng Gao, Guangqiang Ming, Hong Shu. A fuel optimization system based on driving data in real time. Invention Patent, Granted on April 3, 2018, ZL 201610018067.7 (China)