Heng SHI  Ê·ºã

Heng Shi 

Heng Shi, Assistant Research Fellow
Department of Precision Instrument
Tsinghua University, Beijing, China CN

Wechat: shshiheng
Contact: shiheng@tsinghua.edu.cn

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News

  1. I served as the guest editor of the Drones MDPI (IF: 5.532, CiteScore 7.2-Q1) Special Issue “Path Planning, Trajectory Tracking and Guidance for UAVs”. You are welcomed to publish your research here. DDL: Oct 20, 2024.

  2. Our conference paper “Evasion Maneuver Strategy and Timing Optimization Method for UAVs” won the Best Paper Award at 2024 International Conference on Guidance, Navigation and Control (ICGNC 2024).

Biography [CV]

I am currently a Assistant Research Fellow in Department of Precision Instrument, Tsinghua University, supervised by Prof. Jihong Zhu.
I visited as a research scholar in Cooperative Autonomous Systems Laboratory, the Faculty of Aerospace Engineering, Technion - Israel Institute of Technology, supervised by Prof. Tal Shima, from Oct 2018 to Apr 2019.
Previously, I received the Ph.D degree from Department of Computer Science and Technology, Tsinghua University in 2020;
the M. S and B. S degrees from School of Astronautics in Beihang University (former Beijing University of Aeronautics and Astronautics) in 2015 and 2012, under the supervision of Prof. Yunfeng Dong.

I've led four national research projects; published over 30 papers in academic journals and conferences; received 14 authorized national invention patents. I serve as a Guest Editor and Topical Advisory Panel member for the journal Drones. I also served as a reviewer for journals such as IEEE Transactions on Aerospace and Electronic Systems, AIAA Journal of Aerospace Information Systems, Aerospace Science and Technology, IEEE Transactions on Systems, Man and Cybernetics, Measurement, and Acta Automatica Sinica.

My research interests are in the area of guidance and control of vehicles, in particular missiles and unmanned aircrafts.
Specific interests are: cooperative guidance, aircraft control, intelligent control, sensor fusion, aircraft simulations, and reinforcement learning.

Update: Sep 1, 2024