👩‍🎓Biographies

    I was born in Xi’an, Shaanxi, China. From 2016 to 2020, I pursued my Bachelor’s Degree at Xi’an University of Technology. Following that, from 2021 to 2024, I completed my Master’s Degree in Electronic Information Engineering at Northwestern Polytechnical University.
    My research interest includes: Machine Learning, Deep Reinforcement Learning, Intelligent Systems, UAV, Control Systems etc. I have published several papers in related academic fields. (Google Scholar)
    I am currently finding a Ph.D. position suitable for me. （Click here to view my CV）

📖 Educations

2021.09 - 2024.04, Northwestern Polytechnical University, Master, Electronic Information Engineering, Ranking: 20/143
Dissertation:Research on Tactical Decision-Making Models for Coordinated Squadron-Based Intelligent Aerial Combat.
Scholarship:Second Class Scholarship at School Level.
2016.09 - 2020.06, Xi’an University of Technology Bachelor, Electronic Information Engineering, Ranking: 5/79
Dissertation: Simulation Study of Brainstorming Optimization Algorithm in Path Optimization Problems(Outstanding Graduation Thesis)
Annual Scholarship (2017-2019).

🔥 News

2024.05: 🎉🎉 My manuscript, “Enhanced Cascade R-CNN for Multi-scale Object Detection in Dense Scenes from SAR Images”, has been published by IEEE Sensors Journal.
2024.04: 🎊🎊 I have been granted the Outstanding Graduates of Northwestern Polytechnical University.
2024.01: 🎉🎉 My conference, “Research on Threat Assessment Method of Formation Cooperative Combat in a Complex Environment”, has been published by ICCIA(2023 8th International Conference on Computational Intelligence and Applications).
2024.01: 🎉🎉 My manuscript, “Design of UAV flight state recognition and trajectory prediction system based on trajectory feature construction”, has been submited by IEEE Sensors Journal.
2023.09: 🎊🎊 I have been granted the Excellent Graduate title at Northwestern Polytechnical University.
2022.09: 🎉🎉 My conference, “Evaluation of Autonomous Capability of Ground Attack UAV Based on Hierarchical Analysis Method”, has been published by ICAUS(International Conference on Autonomous Unmanned Systems).

📝 Publications

Xingyu Zhou, et al. “Evaluation of Autonomous Capability of Ground Attack UAV Based on Hierarchical Analysis Method.” International Conference on Autonomous Unmanned Systems. Singapore: Springer Nature Singapore, 2022. DOI:org/10.1007/978-981-99-0479-2_97
Xingyu Zhou, et al. “UAVs Collaborative Route Planning Based on Improved Grey Wolf Optimisation Algorithm.” (Drones, SCI Q1 IF=4.8, Major Revision)
Bosong Chai, Xuan Nie*, Qifan Zhou, Xingyu Zhou. “Enhanced Cascade R-CNN for Multi-scale Object Detection in Dense Scenes from SAR Images.” IEEE Sensors Journal, 2024. (SCI Q1 IF=4.3) DOI:org/10.1109/JSEN.2024.3393750
Yang Liu, Jiandong Zhang*, Kaibo Zhang, Xingyu Zhou. “Research on Threat Assessment Method of Formation Cooperative Combat in a Complex Environment.” 2023 8th International Conference on Computational Intelligence and Applications (ICCIA). IEEE, 2023. DOI:org/10.1109/ICCIA59741.2023.00019
Jiandong Zhang, Qiming Yang, Zibing Du, Xingyu Zhou, et al. Evaluation Method for Autonomous Ground Attack Capability of UAV (Patent No. CN202210605405.2)

🏅 Awards

2024.03, Outstanding Graduate of Northwestern Polytechnical University
AY 2022-2023, Outstanding Postgraduate of Northwestern Polytechnical University (Twice)
AY 2021-2023, Second Prize Scholarship of Northwestern Polytechnical University (Thrice)
2022.11, “Zhixin Cup” Innovation and Creativity Competition by the Third Academy of Aerospace
National Third Prize in the Technical Challenge Category
2022.08, “Aoxiang Cup” Postgraduate Electronic Design Competition
School-level Second Prize in the Technical Category
2022.08, Outstanding Lecturer of Northwestern Polytechnical University
AY 2022-2023, Excellent Member of the Communist Youth League (Twice)
2022.11, Outstanding Graduation Thesis at Xi’an University of Technology
2020.01, Annual Scholarship of Xi’an University of Technology
2019.12, Outstanding Student at Xi’an University of Technology
2019.12, Advanced Individual of Diligent Study at Xi’an University of Technology
2018.11, “Li’ao Cup” Science and Technology Competition of Xi’an University of Technology
School-level Third Prize
2017.05, Outstanding Youth League Member at Xi’an University of Technology

💻 Experience

2023/04-2023/09

Formation Collaboration Intelligent Tactical Decision Model and Interoperability Design
(Project led by Chengdu Aircraft Design Institute )

The project developed a drone formation collaborative air combat decision-making system, simulating air combat scenarios of drone formations. The system mainly includes: situation assessment system, tactical control system, and tactical decision-making system. The main algorithms used are neural network algorithms, reinforcement learning algorithms, Bayesian networks, etc.
During my second year of master’s studies, I led team members to complete this project. In the course of the project, I learned to proficiently use the Python programming language and gained an understanding of cutting-edge artificial intelligence algorithms such as neural networks and reinforcement learning.

2022/06-2023/04

Integrated Communication Identification Simulation System
(Project led by Shenyang Aircraft Design Institute )

A human-computer interaction interface for the 1553B (Aviation Onboard Bus Comprehensive System) was designed based on the QT platform, featuring encoding and decoding functionalities as per the 1553B bus protocol. The project utilized C++ language on the QT platform for the design of the human-computer interaction interface, ensuring the accuracy and integrity of data during transmission, reception, storage, and playback.
As the student leader of the project, I oversaw and participated in the entire process. Throughout the project, I mastered the C++ programming language and became proficient in using the QT platform.

2020/11-2021/12

Research on the Evaluation System of Autonomous Ground Attack by UAV Combat
(Project led by China Flight Test Institute )

The project evaluates the autonomous ground attack capabilities of unmanned aerial vehicles (UAVs), establishing an assessment model that includes multi-level evaluation indicators for UAVs. Utilizing the Analytic Hierarchy Process (AHP), the project established the weightings for the UAV ground attack capability indicators. Based on MATLAB, a GUI panel for scoring the autonomous ground attack capabilities of UAVs was designed, forming a more scientific and comprehensive assessment system for these capabilities.
This project was the first I encountered in the early stages of my postgraduate studies. In the course of this project, I learned to proficiently use the MATLAB programming environment and established a theoretical framework in the field of UAV combat.

Zhou Xingyu