一、个人简介

戴玮，博士，硕士生导师，中国民航大学青年拔尖人才。

博士毕业于新加坡南洋理工大学机械与航空工程学院，本科、硕士毕业于天津大学自动化学院。

二、主要经历：

2024.10-至今 中国民航大学

2019.12-2024.04 新加坡南洋理工大学，助理研究员，博士

2019.02-2019.08 德国德累斯顿工业大学，助理研究员

三、研究领域概述：

戴玮的研究领域是面向智慧交通系统的运筹优化理论和人工智能等方法。主要研究工作包括交通系统的运行概念设计、运行优化、安全评估和绩效评估等。我的工作涉及传统空中交通管理（ATM）和低空空中交通（UTM/ UAM/ AAM），将交通系统中的工程问题提炼为数学优化、概率推断等应用数学问题，并使用计算机建模仿真、运筹优化、人工智能等定量方法解决这些问题。戴玮已发表学术论文20余篇，其中多篇工作发表在中科院一区Top期刊。Google Scholar 总引用超过 500次。

戴玮有多年的国内外研究项目经历，与帝国理工学院、苏黎世大学、南洋理工大学等世界名校的顶尖团队，保持着良好的学术合作关系。

四、主要科研项目

1. 中国民航大学科研启动经费，50万元，主持

2. 新加坡国家研究基金-航空改革专项（National Research Foundation-Aviation Transformation Programme），Integration of Unmanned Aircraft Systems (UAS) into the Airspace，496万新加坡元，空域管理组Team Leader

3. 新加坡民航局项目，Urban Aerial Transport Traffic Management and Systems，570万新加坡元，空域管理组Team Leader

4. 德国联邦经济事务和气候行动部资助项目，Risk analysis and conflict resolution of efficient approach and departure procedures，61万欧元，主要参与人

五、主要学术成果：

期刊论文：

1. Liu Q^, Dai W^*, et al. An Intelligent Path Planning System for Urban Airspace Monitoring: From Infrastructure Assessment to Strategic Optimization[J], Smart Cities, accepted (共同第一作者、通讯作者，中科院三区，SCI Q1，IF=7.0)

2. Pang B, Hu X, Dai W*, et al. Stochastic route optimization under dynamic ground risk uncertainties for safe drone delivery operations[J]. Transportation Research Part E: Logistics and Transportation Review, 2024, 192: 103717. (通讯作者，中科院一区Top，SCI Q1)

3. Dai W, Quek Z H, Low K H. Probabilistic modeling and reasoning of conflict detection effectiveness by tracking systems towards safe urban air mobility operations[J]. Reliability Engineering & System Safety, 2024, 244: 109908. (中科院一区Top，SCI Q1)

4. Dai W, Zhang M, Low K H. Data-efficient modeling for power consumption estimation of quadrotor operations using ensemble learning[J]. Aerospace Science and Technology, 2024, 144: 108791. (中科院一区Top，SCI Q1)

5. Dai W, Quek Z H, Pang B, et al. Analysis of UTM Tracking Performance for Conformance Monitoring via Hybrid SITL Monte Carlo Methods[J]. Drones, 2023, 7(10): 597. (中科院二区，SCI Q1)

6. Wu Y, Xu S, Dai W, et al. Heuristic position allocation methods for forming multiple UAV formations[J]. Engineering Applications of Artificial Intelligence, 2023, 118: 105654. (中科院一区Top，SCI Q1)

7. Zhang M, Yan C, Dai W, et al. Tactical conflict resolution in urban airspace for unmanned aerial vehicles operations using attention-based deep reinforcement learning[J]. Green Energy and Intelligent Transportation, 2023, 2(4): 100107. (EI)

8. Pang B, Hu X, Dai W, et al. UAV path optimization with an integrated cost assessment model considering third-party risks in metropolitan environments[J]. Reliability Engineering & System Safety, 2022, 222: 108399. (中科院一区Top，SCI Q1)

9. Dai W, Pang B, Low K H. Conflict-free four-dimensional path planning for urban air mobility considering airspace occupancy[J]. Aerospace Science and Technology, 2021, 119: 107154. (中科院一区Top，SCI Q1)

10. Pang B, Dai W, Hu X, et al. Multiple air route crossing waypoints optimization via artificial potential field method[J]. Chinese Journal of Aeronautics, 2021. (中科院一区Top，SCI Q1)

11. Hu Y, Dai W, Prats Menéndez X. An optimization method of formation flight for minimizing fuel consumption[J]. Transactions of Nanjing University of Aeronautics and Astronautics, 2021, 38(2): 306-315.（EI）

会议论文：

1. Liu Q, Dai W*, Ma L, et al. Towards Transparent and Privacy-Preserving Urban Airspace Management: A Blockchain-Based Scheme Under the Airspace-Resource-Centric Concept[C]//2025 Integrated Communications, Navigation and Surveillance Conference (ICNS). IEEE, 2025: 1-8. （通讯作者，获得COM & Cyber Security最佳学生论文）

2. Ma L, Dai W, Koelle R. Fuel Flow Analysis for Different Flight Phases Based on a Data-Driven Approach[C]//2025 Integrated Communications, Navigation and Surveillance Conference (ICNS). IEEE, 2025: 1-8.

3. Dai W, Deng C., Low K H, et al. Urban Performance-Based Navigation[C]//2023 ICAO Drone Enable Symposium.（受邀在国际民航组织2023放飞无人机大会宣读）

4. Dai W, Deng C. Urban Performance-Based Navigation (uPBN): Addressing the CNS Variation Problem in the Urban Airspace in the Context of UAS Traffic Management[C]//2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2023: 5524-5529.

5. Quek Z H Z, Dai W, Low K H. Analysis of safety performance of tracking services based on simulation of unmitigated UAS conflicts[C]//AIAA SciTech 2023 forum. 2023: 0607.

6. Dai W, Wang C H J, Low K H, et al. Data Requirements in UTM[C]//2022 ICAO Drone Enable Symposium.（受邀在国际民航组织2022放飞无人机大会宣读）

7. Dai W, Low K H. Conflict-free trajectory planning for urban air mobility based on an airspace-resource-centric approach[C]//AIAA Aviation 2022 Forum. 2022: 4077.

8. Dai W, Quek Z H, Low K H. A simulation-based study on the impact of tracking performance on UTM flight safety[C]//2022 Integrated Communication, Navigation and Surveillance Conference (ICNS). IEEE, 2022: 1-13.

9. Wang C H J, Low K H, bin Che Man M H, et al. Safety-Focused Framework for Enabling UAS Traffic Management in Urban Environment[C]//AIAA AVIATION 2022 Forum. 2022: 3618.

10. Ra T, Dai W, Ng E M, et al. Initial architecture design and development for real-time risk-based unmanned aerial system traffic management[C]//AIAA AVIATION 2021 FORUM. 2021: 2395.

11. Dai W, Pang B, Low K H. Accessibility analysis of unmanned aerial vehicles near airports with a four-dimensional airspace management concept[C]//2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC). IEEE, 2020: 1-9.

12. Pang B, Dai W, Ra T, et al. A concept of airspace configuration and operational rules for UAS in current airspace[C]//2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC). IEEE, 2020: 1-9.

13. Dai W, Low K H. Searching for the Boundary of Unmanned Aircraft System Operations Near Airports- A Data-Driven Analysis of Airspace Utilization[C]// 2020 9th International Conference for Research in Air Transportation

14. Dai W, Ma L, Koelle R. A comparison study of scheduled block times in China and Europe[C]//2018 Integrated Communications, Navigation, Surveillance Conference (ICNS). IEEE, 2018: 3F3-1-3F3-11. （ATM最佳论文Runner Up）

15. Dai W, Ma L, Koelle R. Comparing Scheduled Block Time Setting in Europe and China Based on Multiple Linear Regression[C]// 2018 8th International Conference for Research in Air Transportation

六、荣誉和获奖情况：

1. 2023国家优秀自费（非公费）留学生奖学金，国家留学基金委员会（全世界范围内奖励650人）。

2. 2025 I-CNS会议COM & Cyber Security最佳学生论文（指导教师）。

3. 2018 I-CNS会议ATM最佳论文Runner Up。

七、主要学术兼职：

担任20余本权威期刊的审稿人，包括一区期刊IEEE Transactions on Intelligent Transportation Systems，Reliability Engineering & System Safety，Accident Analysis & Prevention，Transportation Research Part C/D，IEEE Internet of Things Journal，IEEE Transactions on Industrial Electronics等

八、联系方式：

欢迎具备运筹优化或人工智能的基本知识、有一定编程基础的研究生、学有余力的本科生加入团队。

Email: wdai@cauc.edu.cn