Educational background

● 2014.09-2019.06, Department of Engineering Physics, Tsinghua University, Doctor of Philosophy, Safety Science and Engineering
● 2017.09-2018.09, University Park, Pennsylvania State University, Joint Educational Program
● 2010.09-2014.06, Department of Engineering Physics, Tsinghua University, Bachelor of Engineering, Engineering Physics

Experience

●2024.04-Now, School of Safety Science, Tsinghua University, Assistant Research Fellow
●2023.02-2024.03, Department of Engineering Physics, Tsinghua University, Assistant Research Fellow
●2019.07-2023.01, Department of Engineering Physics, Tsinghua University, Postdoctoral

Teaching work

Undergraduate general education course, When Disaster Strikes: Emergency Technology for Safety, Fall 2024 - Now, co-taught with Tao Chen (B)

Areas of Research Interests

Research interests include urban accident monitoring and early warning with IoT and big data, optimization and resilience enhancement of urban infrastructure systems under extreme disasters.

Research Status

1.Building fire detection and alarm technology
Aiming at the problem of weak anti-interference ability and high false alarm rate of building fire smoke detectors, Huang proposed a spatio-temporal coupled fire alarm discrimination model of multiple smoke detectors based on Bayesian estimation, constructed a wavelet-CNN model for composite detection of image fires, greatly improved the recognition rate of true alarms for building fire monitoring, effectively solved the problem of the impact of high false alarm rate on China's large-scale firefighting networking, researched the high anti-interference ability of double wavelength smoke detection technology, establish the recognition model of wavelength, light intensity and angle, and make important progress in the research and development of the new generation of smoke detectors, realizing the recognition ability of dust and water vapor.
2. Group Risk Perception, Prevention and Control Technology
Huang have proposed a multi-source data fusion method for social media, news media, surveillance video, etc., developed a dense crowd risk early warning technology combining deep learning and social force modeling, proposed an epidemic prevention and control close contact determination method based on personnel trajectory compression and trajectory accompanied by pattern mining, and constructed a scenario model combining macroscopic and microscopic scenarios of epidemic spreading and evacuation and control of high-risk exposed crowds for large events, which was applied to the Beijing Winter Olympics and provided a good solution for the large events of the Olympic Games. The model was applied to the Beijing Winter Olympic Games, providing technical guarantee for the safety and emergency response of large-scale activities.

Academic Achievement

Projects
2025-2027, National Key Research and Development Program of China (Youth Scientist Program), Gas and Fire Monitoring and Early Warning Technology for Residential and Catering Venues, Project Leader
2022-2023, National Natural Science Foundation of China Youth Science Fund Project (Class C), Epidemic Control Methods Considering Crowd Gathering Behavior Patterns in Large Events, Project Leader
2021-2024, National Key Research and Development Program of China, Knowledge Recommendation Model for Standards Related to Emergency Response, Project Member, Task leader

期刊论文 (Journal Articles)
[1] Lida Huang, Tao Chen*, Qing Deng, Yuli Zhou. (2023). Reasoning disaster chains with Bayesian network estimated under expert prior knowledge. International Journal of Disaster Risk Science, Vol. 14, pp. 1011-1028.
[2] Lida Huang*, Panpan Shi, Haichao Zhu. (2022). An integrated urgency evaluation approach of relief demands for disasters based on social media data. International Journal of Disaster Risk Reduction, Vol. 80, 103208.
[3] Lida Huang, Panpan Shi, Haichao Zhu, Tao Chen*. (2022). Early detection of emergency events from social media: A new text clustering approach. Natural Hazards, Vol. 111, pp. 851-875.
[4] Lida Huang, Gang Liu, Tao Chen *, Hongyong Yuan, Panpan Shi, Yujia Miao. (2022). Similarity-based emergency event detection in social media. Journal of Safety Science and Resilience, Vol. 2, Issue 1, pp. 11-19.
[5] Lida Huang, Gang Liu, Yan Wang, Hongyong Yuan, Tao Chen*. (2022). Fire detection in video surveillances using convolutional neural networks and wavelet transform. Engineering Applications of Artificial Intelligence, Vol. 110, 104737.
[6] Hongyong Yuan, Yiqing Liu, Lida Huang*, Gang Liu, Tao Chen*, Guofeng Su, Jiakun Dai. (2025). Real-time detection of urban gas pipeline leakage based on machine learning of IoT time-series data. Measurement, Vol. 242, Part B, 115937.
[7] Qing Deng, Kuo Wang, Jiahao Wu, Feng Yu, Huiling Jiang, Lida Huang*. (2023). An integrated model for evaluating the leakage risk of urban gas pipe: A case study based on Chinese real accident data. Natural Hazards, Vol.
116, pp. 319–340.
[8] Gang Liu, Hongyong Yuan*, Lida Huang*. (2023). A fire alarm judgment method using multiple smoke alarms based on Bayesian estimation. Fire Safety Journal, Vol. 136, 103733.
[9] Kaiyuan Li, Gang Liu, Hongyong Yuan*, Yang Chen, Yunzhi Dai, Xiangrui Meng, Yuxin Kang, Lida Huang*. (2023). Dual-wavelength smoke detector measuring both light scattering and extinction to reduce false alarms. Fire, Vol.6, Issue 4, 140.
[10] Kaili Lin, Lifan Zhang, Lida Huang*, Zhili Feng, Tao Chen*. (2023). Improved Particle Swarm Path Planning Algorithm with Multi-Factor Coupling in Forest Fire Spread Scenarios. Fire, Vol. 6, Issue 5, 202.
[11] Xuecai Xie, Jun Hu*, Gui Fu, Xueming Shu, Yali Wu, Lida Huang*, Shifei Shen. (2023). Investigation of Unsafe Acts Influence Law Based on System Dynamics Simulation: Thoughts on Behavior Mechanism and Safety Control. International Journal of Environmental Research and Public Health, Vol. 20, 4733.
[12] Hongyong Yuan, Lida Huang*, Tao Chen, Yang Chen, Hui Zhang, Xuerui Chen, Qing Deng, Zhichao He, Jiajun Wang, Yiting Wang. (2022). Key technologies of the emergency platform in China. Journal of Safety Science and Resilience, Vol. 3, Issue 4, pp. 404-415.
Patents
[1] Text clustering method and device, electronic equipment and storage medium.
[2] Unmanned aerial vehicle video-based forest fire spreading data assimilation method and apparatus.
[3] Method and device for detecting video monitoring fire.
[4] Wide-spectrum light source and multi-angle particle scattering and extinction characteristic measurement device.
[5] Epidemiological survey data processing method and device and computer equipment.

Academic part-time job

2014.12-Now, Emergency Management Committee, China Association for Public Safety, Member

Rewards and Honors