Profile

Fan Meng, male, 1995.02, Qingdao, Shandong Province, Ph.D., is a faculty member of the School of Artificial Intelligence, NUIST, and a member of the Intelligent Meteorology Team.

His research interests are in AI for Science, focusing on using AI techniques to solve problems in the field of meteorology and oceanography, especially using machine learning methods to improve the forecasting of extreme weather such as tropical cyclones, and systematically forming a set of tropical cyclone forecasting models, and he is interested in the quantification of uncertainty, interpretability, and causality analysis in the field of meteorology and oceanography. He has published 13 papers as first author/(co-)corresponding author in top journals and conferences in the field, including AAAI, Environmental Research Letters, Ocean Engineering, FGCS, and so on. PhD thesis topic was selected for oral presentation at AAAI-22  Doctoral Consortium (15 selected each year globally), and was awarded the 38th Uncertainty Artificial Intelligence Conference (UAI 2022) studentship. He served as Session Chair of the 41st International Geoscience and Remote Sensing Conference (IGARSS 2021), and Publicity Chair of the 15th International Conference on Theory and Applications of Bio-inspired Computing (BIC-TA2020).

He has worked in the AI Earth team of Alibaba's DAMO Academy-Machine Intelligence Lab, and has accumulated industrial R&D capabilities. He has presided over one open project in the Key Laboratory of Marine Disaster Forecasting of the Ministry of Natural Resources, one open project in the Key Laboratory of Environmental Evolution and Natural Hazards of the Ministry of Education, and two projects of Industry-University Cooperation and Collaborative Education of the Ministry of Education. He is also the main member of 2 projects of National Natural Science Foundation of China, 1 project of Shandong Provincial Natural Science Foundation, 1 project of Shandong Provincial Key Research and Development, 1 project of Chinese Academy of Sciences (CAS) Key Laboratory of Applied Physics Oceanography, and 2 projects of Navy. He has served as a reviewer for the top journals in the field, such as JGR - Oceans and Ocean Engineering.

Welcome to visit:

Google Scholar homepage:

https://scholar.google.com/citations?user=_sX8HjEAAAAJ&hl=en

Personal homepage in English:

https://sites.google.com/view/fanmeng/

Representative papers:

Fan Meng, Tao Song, Danya Xu, Pengfei Xie, and Ying Li. "Forecasting tropical cyclones wave height using bidirectional gated recurrent unit." Ocean Engineering (2021): 108795.(JCR Q1, IF = 4.372,)

Fan Meng,Yichen Yao et al. Probabilistic Forecasting of Tropical cyclones Intensity Using Machine Learning Model, Environmental Research Letters(2023). (JCR Q1，IF=6.947）

Fan Meng, Tao Song, Danya Xu, Simulating tropical cyclone passive microwave rainfall imagery using infrared imagery via generative adversarial networks, IEEE Geoscience and Remote Sensing Letters(2022).(JCR Q1, IF = 5.343)

Fan Meng, Danya Xu, Tao Song, ATDNNS:An adaptive time-frequency decomposition neural network-based system for tropical cyclone wave height real-time forecasting, Future Generation Computer Systems(2022).(JCR Q1, IF = 7.187)

Fan Meng, Kunlin Yang, Yichen Yao, et al. Tropical cyclone intensity probabilistic forecasting system based on deep learning. International Journal of Intelligent Systems(2023)（JCR Q1，IF=8.993）

Fan Meng, Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting, In Proceedings of The Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI-22.

Fan Meng, Handan Sun, et.al, A Short-term Tropical Cyclone Intensity Forecast Method Based on High-order Tensor (Student Abstract), In Proceedings of The Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI-22.

Tao Song, Cong Pang, Boyang Hou, Guangxu Xu, Handan Sun, Fan Meng*. A Review of Artificial Intelligence in Marine Science . Frontiers in Earth Science, 2023,11: 114.（IF=3.661）

Tao Song,Runsheng Han,Fan Meng* et al.,A Significant Wave Height Prediction Method Based on Deep Learning Combining the Correlation between Wind and Wind Waves, Frontiers in Marine Science. ( JCR Q1)

Tao Song, Jiarong Wang, Jidong Huo,Wei Wei, Runsheng Han, Danya Xu, Fan Meng*, et al. Prediction of significant wave height based on EEMD and deep learning. Frontiers in Marine Science, 2023:10,298.（ JCR Q1）

Educational Experience

Work Experience

• 2023.8 to Now

  南京信息工程大学 | 人工智能学院（未来技术学院） | 讲师

• 2022.2 to 2022.8

  阿里巴巴达摩院 | 机器智能实验室 | Research Intern

Social Affiliations

Name of Research Group: