Profile

Biography

Fan Meng, Ph.D., born in February 1995 in Qingdao, Shandong Province, is a Master's Supervisor and a key research member of the Academy of Intelligent Meteorology at Nanjing University of Information Science and Technology (NUIST). He serves as the "Vice President of Technology" for Jiangsu Province, a member of the Youth Innovation Team of the China Meteorological Administration, and a Distinguished Expert within the Innovation Team of the National Climate Center. Additionally, Dr. Meng is an Executive Committee Member of the CCF Technical Committee on Computer Applications, a presidium member of the CCF YOCSEF Nanjing sub-forum, and a member of the Chinese Peasants and Workers Democratic Party. He is a recipient of the Excellent Doctoral Dissertation Award of Shandong Province.

Research Contributions

Research Focus: AI for Science (Applications of Artificial Intelligence in Meteorology and Weather Forecasting)

Prior to joining NUIST, Dr. Meng engaged in cutting-edge research and development with the AI Earth team at Alibaba DAMO Academy. Currently, his research is dedicated to the interdisciplinary application of "AI for Science" within the meteorological and oceanographic domains.

He has published over 30 academic papers in prestigious international journals and conferences, including National Science Review, AAAI, IEEE/ACM Transactions, and Information Fusion. Among these, he has authored more than 20 papers as the first or (co-)corresponding author in top-tier venues. He also holds two authorized national invention patents as the primary inventor. Notably, his doctoral dissertation research was selected for an oral presentation at the AAAI-22 Doctoral Consortium (a CCF-A class conference, selecting only 15 candidates globally). He has been honored with the Excellent Doctoral Dissertation Awards from both Shandong Province and the Shandong Computer Federation (awarded to only 5 recipients). Furthermore, several policy proposals drafted based on his research expertise have been adopted by the National Committee of the Chinese People's Political Consultative Conference (CPPCC), the Central Committee of democratic parties, and provincial CPPCC committees.

Research Vision

Dr. Meng's overarching research goal is to enhance the understanding and prediction of complex meteorological phenomena—particularly extreme weather events such as tropical cyclones (typhoons)—through artificial intelligence. His work extends beyond standard spatiotemporal forecasting; it encompasses intensity prediction, trajectory modeling, quantitative precipitation forecasting, and long-term climate projections for extreme weather under changing global conditions. By systematically developing a suite of machine learning models tailored for tropical cyclone forecasting, he aims to address critical challenges in the field, with broader research interests including uncertainty quantification, model interpretability, and causal analysis in meteorology and oceanography.

Selected Research Projects

(Focusing primarily on tropical cyclone forecasting)

As Principal Investigator (PI):

• National Natural Science Foundation of China (NSFC) Youth Fund: Research on Intelligent Prediction Methods for Rapid Intensification of Typhoons Based on Physical Conservation and Continuous Dynamical Systems. (Focus: Physics-informed AI for sudden typhoon intensification)

• Natural Science Foundation of Jiangsu Province: Research on Lightweight Foundation Models for Typhoon Forecasting in Long-Tail Distribution Scenarios. (Focus: Efficient AI modeling for rare, extreme typhoon events)

• CCF-Baidu Pine Cone Fund: Research on Multimodal Foundation Models for the Multi-Scale Dynamical Evolution Mechanism of Typhoons. (Focus: Multimodal large models for internal typhoon dynamics)

• Open Fund of the Key Laboratory of Marine Hazards Forecasting, Ministry of Natural Resources: Research on Lightweight Data-Driven Forecasting Methods for Ocean Waves Based on Deep Learning. (Completed)

• Open Fund of the Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education: Intelligent Forecasting of Tropical Cyclones Based on Multimodal Environmental Data. (Completed)

Key Participation & Educational Reform:Dr. Meng also serves as a core backbone member in the Beijing-Tianjin-Hebei National Science and Technology Major Project (39 million RMB national funding), National Key R&D Programs, NSFC General Programs, and various provincial R&D initiatives. In higher education, he leads university-level textbook projects, the Ministry of Education-Huawei "Intelligent Base" course, and Ministry of Education Industry-University Collaborative Education projects. He is a core member of Prof. Jingjia Luo's research group, which is supported by extensive research funding and state-of-the-art computational facilities.

Prospective Students & Postdocs

2026 Master's Admissions Available (Professional Master's in Artificial Intelligence):I am actively recruiting highly motivated Master's students for the 2026 intake. If you have a strong interest in the intersection of Artificial Intelligence and Meteorology and are eager to pursue high-impact research, please contact me via email to discuss opportunities in advance.

Undergraduate Research Opportunities:I welcome driven undergraduate students interested in AI applications for meteorology and oceanography to join our team. I have a proven track record of mentoring undergraduates to secure national-level innovation grants, win prestigious awards in national competitions (such as the "Internet+" and "Challenge Cup"), and publish high-impact SCI papers (including JCR Q1/Q2 and CCF-B journals). If you are passionate about innovative research, possess strong perseverance, and are aiming for academic excellence, please reach out to explore potential collaborative projects.

Professional Service

Editorial & Review Roles:

• Editorial Board Member: Scientific Reports (Nature Portfolio)

• Reviewing Editor: Springer Nature

• Guest Editor: npj Artificial Intelligence (Nature Portfolio), Remote Sensing

• Youth Editorial Board Member: Journal of Marine Environmental Engineering (JMEE), Journal of Marine Meteorology, Journal of Meteorology and Environment, Journal of China West Normal University (Natural Sciences)

• Invited Reviewer: Over 20 SCI journals and premier conferences, including Nature Communications, Science Advances, AAS, JGR, OE, APOR, SR, ACM MM, and GRSL.

Conference Organization:

• Forum Chair: The 40th National Conference on Computer Applications (NCCA 2025)

• Organizing Committee Member: 2024 CCF Technology Entrepreneurship Competition (TEC)

• Session Chair: The 41st IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021)

• Publicity Chair: The 15th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2020)

Invited Lectures:Invited to deliver courses on Intelligent Meteorology for the Shanghai Meteorological Bureau, Guangdong Meteorological Bureau, Kezhou Meteorological Bureau, and newly recruited STEM professionals in the national meteorological system.

Teaching Experience

• Machine Learning: Spring 2024 (Info Eng), Fall 2024 (Atmos Sci/Intelligent Met)

• Intelligent Meteorological Forecasting: Spring 2024 (Intl. Students, English), Fall 2024 (AI Top-tier/Intelligent Met), Spring 2025 (Atmos Sci/Intelligent Met)

• Introduction to Intelligent Meteorology: Spring 2025 (AI-Atmos Sci Dual Degree)

• Intelligent Meteorology: Spring 2025 (AI Top-tier)

• Comprehensive Practice of Meteorological Foundation Models: Spring 2025 (AI Top-tier/Intelligent Met)

• Comprehensive Practice of Foundation Models: Spring 2025 (Micro-major)

• Comprehensive Practice of Intelligent Meteorology [English]: Spring 2025 (Intl. Students)

Academic Profiles

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

• Personal Homepage: https://sites.google.com/view/fanmeng/

Selected Publications

1. Meng, F., Song, T., Xu, D., Xie, P., & Li, Y. (2021). Forecasting tropical cyclones wave height using bidirectional gated recurrent unit. Ocean Engineering, 108795. (JCR Q1, IF=4.372, CAS Tier 1 TOP)

2. Meng, F., Yao, Y., et al. (2023). Probabilistic Forecasting of Tropical cyclones Intensity Using Machine Learning Model. Environmental Research Letters. (JCR Q1, IF=6.947, CAS Tier 2 TOP)

3. Meng, F., & Song, T. (2024). Uncertainty forecasting system for tropical cyclone tracks based on conformal prediction. Expert Systems with Applications, 249(C). (JCR Q1, IF=8.5, CAS Tier 1 TOP)

4. Meng, F., Song, T., & Xu, D. (2022). Simulating tropical cyclone passive microwave rainfall imagery using infrared imagery via generative adversarial networks. IEEE Geoscience and Remote Sensing Letters. (JCR Q1, IF=5.343, CAS Tier 2)

5. Meng, F., Xu, D., & Song, T. (2022). ATDNNS: An adaptive time-frequency decomposition neural network-based system for tropical cyclone wave height real-time forecasting. Future Generation Computer Systems. (JCR Q1, IF=7.187, CAS Tier 1 TOP)

6. Meng, F., Yang, K., Yao, Y., et al. (2023). Tropical cyclone intensity probabilistic forecasting system based on deep learning. International Journal of Intelligent Systems. (JCR Q1, IF=8.993, CAS Tier 1 TOP)

7. Meng, F. (2022). Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22). (CCF-A)

8. Meng, F., Sun, H., et al. (2022). A Short-term Tropical Cyclone Intensity Forecast Method Based on High-order Tensor (Student Abstract). In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22). (CCF-A)

9. Song, T., Pang, C., Hou, B., Xu, G., Sun, H., & Meng, F.* (2023). A Review of Artificial Intelligence in Marine Science. Frontiers in Earth Science, 11, 114. (CAS Tier 3, Corresponding Author)

10. Sun, H., Song, T., Li, Y., Yang, K., Xu, D., & Meng, F.* (2023). EEMD-ConvLSTM: a model for short-term prediction of two-dimensional wind speed in the South China Sea. Applied Intelligence, 53(24), 30186-30202. (CAS Tier 2, IF=5.3, Co-corresponding Author)

Selected Honors & Awards

1. Excellent Doctoral Dissertation Award of Shandong Province (1/1), Department of Education of Shandong Province, 2025.

2. Excellent Doctoral Dissertation Award of Shandong Computer Federation (1/1), Shandong Computer Federation, 2024.

3. National Scholarship for Doctoral Students (1/1), Ministry of Education, 2022.

4. China Telecom Scholarship (1/1), Central Committee of the Communist Youth League & All-China Students' Federation, 2020.

5. CSC-University of Toronto Joint Scholarship (1/1), China Scholarship Council, 2022.

6. National Silver Award, The 5th China "Internet+" College Students Innovation and Entrepreneurship Competition (1/7), Ministry of Education et al., 2019.

7. Provincial Grand Prize, The 16th "Challenge Cup" Shandong Extracurricular Academic and Scientific Works Competition (1/8), 2019.

8. National Third Prize, The 16th "Challenge Cup" National Extracurricular Academic and Scientific Works Competition (1/8), 2019.

9. Outstanding Graduate of Shandong Province (1/1), Department of Human Resources and Social Security of Shandong Province, 2023.

10. Most Beautiful College Student in Qingdao West Coast New Area (1/1), CPC Qingdao West Coast New Area Working Committee, 2022.

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: