（1）基于无人机与深度学习的火灾后桥梁安全智能评估技术。

（2）多源数据融合的隧道结构灾害智能监控预警关键技术。

[1]  国家自然科学基金青年基金项目：火灾场景下钢筋混凝土板柱节点的破坏规律及智能预警研究，2022-2024，主持

[2]  中央高校基本科研业务经费，融合多源信息的隧道火灾监控预警方法，2023-2026，主持

[3]  香港理工大学科研启动基金：真实火灾下钢筋混凝土板柱结构倒塌预警，2021-2022，主持

[4]  香港理工大学本科生创新研究计划：无人机技术在智慧消防烟雾探测方面的应用，2021-2022，主持

[5]  香港研究资助局主题基金：SureFire：智慧城市消防及应急救援研究，项目管理助理

[6]  内地与港澳高校联合基金：预应力混凝土桥梁的抗火性能研究，主要参与

[7]  国家自然科学基金面上项目：爆炸作用下点支式玻璃幕墙的破损机制和模式研究，主要参与

[8]  国家重点研发计划：港珠澳大桥智能化运维集成应用：课题二：跨海集群设施服役状态评估及智能维养技术与装备，参与

近五年主要期刊文章

[1]  Zhang XN, Jiang YS, Wu XQ*, Nan ZJ, Jiang YQ, Shi JH, ZhangYX, Huang XY*, Huang GG. AIoT-enabled digital twin system for smart tunnel firesafety management. Developments in the Built Environment. 2024 Feb 24:100381.

[2]  Wu XQ, ZhangXN, Jiang YS, Huang XY, Huang GQ, Usmani Asif. An intelligent tunnelfirefighting system and small-scale demonstration. Tunnelling and UndergroundSpace Technology. 2022, 120: 104301.

[3]  Wu XQ, ZhangXN, Huang XY, Xiao F, and Usmani A. A real-time forecast of tunnel fire basedon numerical database and artificial intelligence. Building Simulation. 2022,15: 511–524.

[4]  Wu XQ, Park Y,Li A, Huang XY, Xiao F and Usmani A. Smart Detection of Fire Source in TunnelBased on the Numerical Database and Artificial Intelligence. Fire Technology.2021, 57 657-682.

[5]  Wu XQ, Huang T,Au FTK and Li J. Post-tensioned Concrete Bridge Beams Exposed to HydrocarbonFire. Journal of Structural Engineering-ASCE. 2020, 10: 04020210.

[6]  Wu XQ, Huang T,Au FTK and Li J. A Localized Fire Model for Predicting the Surface Temperatureof Box Girder Bridges Subjected to Tanker Truck Fire. Fire Technology.2020, 56: 2059-2087.

[7]  Zeng YF, Zhang XN, SuLC, Wu XQ*, Huang XY*. Artificial Intelligence tool for fire safetydesign (IFETool): Demonstration in large open spaces. Case Studies inThermal Engineering. 2022, 40: 102483.

[8]  Zhang XN, Wu XQ*,Huang XY*. Smart real-time forecast of transient tunnel fires by a dual-agentdeep learning model. Tunnelling and Underground Space Technology. 2022,129: 104631.

[9]  Wang ZL, Zhang TH, Wu XQ*, Huang XY*. Predicting Transient Building Fire Based on External SmokeImages and Deep Learning. Journal of Building Engineering. 2022, 47:103823.

[10]  Zhang XN, Wu XQ*, Park Y, Zhang TH, Huang XY*,Xiao F and Usmani A. Perspectives of Big Experimental Database and ArtificialIntelligence in Tunnel Fire Research. Tunnelling and Underground SpaceTechnology. 2021, 108: 103691.

[11]  Su LC#, Wu XQ#, Zhang XN, Huang XY. SmartPerformance-Based Design for Building Fire Safety: Prediction of Smoke Motionvia AI. Journal of Building Engineering. 2021, 43: 102529.

书籍章节

[1]  Huang XY, Wu XQ, Usmani A. Structural fire safety design of bridges using numerical simulation and AI algorithms, Chapter 4, Leveraging Artificial intelligence into Engineering, Management, and Safety of Infrastructure, Milton Park, UnitedKingdom: Taylor & Francis, 2021.

[2]  Huang XY, Wu XQ,Usmani A. Perspectives of Artificial Intelligence in Building Fire Safety and aDemonstration in Tunnel, Chapter 7, Handbook of Cognitive and AutonomousSystems for Fire Resilient Infrastructures, Berlin, Germany: Springer, 2020.

[3]  Jiang LM, Wu XQ, JiangYQ. Realistic fire resistance evaluation in the context of autonomousinfrastructure, Chapter 9, Handbook of Cognitive and Autonomous Systems forFire Resilient Infrastructures, Berlin, Germany: Springer, 2020.