教育背景 2012.09-2016.11 北京航空航天大学计算机应用技术，智能驾驶方向，工学博士 2008.09-2011.07 安徽师范大学应用心理学，理学硕士 2002.09-2006.07 安徽师范大学教育技术，学士 工作经历 2022.02 -至今，中国科学技术大学，自动化系，研究员 2019.07 -2022.01，中国科学技术大学，自动化系，副研究员 2016.11-2019.06，清华大学车辆与运载学院，博士后（助理研究员） 2011.08-2012.08，兆盈科技，CTO

智能驾驶车辆感知、规划、决策与控制研究 迁移学习、不确定性人工智能及其智能驾驶车辆应用 智能驾驶车辆智能测试与评价标准体系研究

[1] Deyi Li, H. Gao(*). A Hardware Platform Framework for an Intelligent Vehicle Based on a Driving Brain [J]. Engineering, 2018, 4(2018):464-470. [2] H. Gao, D. Li, K. Li, et al. Object Classification using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment. IEEE Trans. on Industrial Informatics, 2018, 14(9):4224-4231. [3] H. Gao, J. Zhu, T. Zhang, et al. Situational Assessment for Intelligent Vehicles based on Stochastic Model and Gaussian Distributions in Typical Traffic Scenarios. IEEE Trans. on Systems Man Cybernetics-Systems, 2020, DOI: 10.1109/TSMC.2020.3019512. [4] H. Gao, J. Zhu, H. Su, et al. Automatic Parking Control of Unmanned Vehicle Based on Switching Control Algorithm and Backstepping. IEEE/ASME Trans. on Mechatronics, 2020, DOI :10.1109/TMECH.2020.3037215. [5] H. Gao, J. Wang, K. Li, et al. Trajectory Prediction of Cyclist Based on Dynamic Bayesian Network and Long Short-Term Memory Model at Unsignalized Intersections. SCIENCE CHINA: Information Sciences, 2021, 64(7), 172207:1–172207:13. [6] H. Gao, C. Lv, T. Zhang, et al. A Structure Constraint Matrix Factorization Framework for Human Behavior Segmentation. IEEE Trans. on Cybernetics, 2021, DOI: 10.1109/TCYB.2021.3095357. [7] H. Gao, Z. Kan; K. Li. Robust Lateral Trajectory Following Control of Unmanned Vehicle Based on Model Predictive Control. IEEE/ASME Trans. on Mechatronics, 2021, DOI: 10.1109/TMECH.2021.3087605. [8] H. Gao,C. Hu, K. Li, et al. An Interacting Multiple Model for Trajectory Prediction of Intelligent Vehicles in Typical Road Traffic Scenario. IEEE Trans. on Neural Network and Learning Systems, 2021, DOI: 10.1109/TNNLS.2021.3136866 [9] H. Gao, K. Li, Z. Kan, et al. Adaptive Finite Time Trajectory Tracking Control of Autonomous Vehicles with Disturbance and Actuator Saturation. IEEE Intelligent Transportation Systems Magazine,2021,DOI: 10.1109/MITS.2021.3080075 [10] H. Gao, C. Hu, G. Xie, et al. Discretionary Cut-in Driving Behavior Risk Assessment based on Naturalistic Driving Data. IEEE Intelligent Transportation Systems Magazine,2021, DOI:10.1109/MITS.2021.3093349.