Intelligent computing and artificial intelligence

Spatial-temporal information foundation models

High-precision satellite navigation and positioning

Explainable machine learning / AI for Science

Space ionospheric wave propagation and imaging

Principal Investigator of the National Key R&D Programme “Key Scientific Problems of Transformative Technologies” Key Special Project for Young Scientists (2021-2026).

Excellent Master’s and PhD students are welcome to apply for Summer Camp. Interested candidates please contact: haiyang_fu@fudan.edu.cn.

PhD:

081000 Information and Communication Engineering (Academic Degree)

085400 Electronic Information – Artificial Intelligence (Professional Degree)

Master’s:

081000 Information and Communication (Academic Degree) / 080904 Electromagnetic Fields and Microwaves

085400 Electronic Information – Intelligent Perception (Professional Degree)

Youth Deputy Director, Radio Wave Propagation Branch, Chinese Institute of Electronics, 2025

Committee Member, Space Information Branch, Chinese Institute of Electronics, 2025

Chair, WIRS (Women in Radio Science), URSI-China, 2024–

Senior Member, IEEE, 2024–

Senior Member, International Union of Radio Science (URSI), 2019–

Senior Member, Chinese Institute of Electronics, 2019–

Bronze Medal Supervisor, National College Student International Internet Competition, 2024

Young Scientist, National Key R&D Programme “Key Scientific Problems of Transformative Technologies”, Ministry of Science and Technology, 2021

New Leader in Space Science (Nominated), NAS-CAS, 2018

Dean’s Award, School of Information Science and Technology, Fudan University, 2018

Young Scientist Award, URSI-GASS (International Union of Radio Science General Assembly and Scientific Symposium), 2017

Fellowship, Bradley Department of Electrical and Computer Engineering, Virginia Tech, 2010

Outstanding Graduate, Harbin Institute of Technology; Outstanding Graduate of Heilongjiang Province, 2006

Aug. 2008 – Dec. 2012: Ph.D. in Electrical Engineering, Virginia Tech, USA

Aug. 2006 – Jul. 2008: Master’s in Power Machinery, Harbin Institute of Technology

Aug. 2002 – Jul. 2006: Bachelor’s in Power Machinery, Harbin Institute of Technology

Undergraduate course: Scientific Computing.

Postgraduate courses: Radar Imaging and Target Recognition; English for Specific Purposes.

Y. H. Liu, H. Y. Fu* et al, Data-driven modeling of electrostatic turbulence by physics-informed Fourier neural operator, Mach. Learn.: Sci. Technol. 6 045050, 2025.

Y. Qin, J. Ma, M. Jiang, C. Dong*, H. Y. Fu*, L. Wang* et al, Data-driven modelling of Landau damping by physics-informed neural networks, Phys. Rev. Res. 5(3), 10.1103/PhysRevResearch.5.033079, 2023.

D. Cai, Z. Shi, H. Y. Fu* et al, Global 4-D ionospheric STEC prediction based on DeepONet for GNSS rays, IEEE Trans. Geosci. Remote Sens. , 10.1109/TGRS.2024.3422150, 2024.

Y. Qin, H. Y. Fu*, F. Xu, Y. Jin, EMWP-RNN: A physics-encoded recurrent neural network for wave propagation in plasmas, IEEE Antennas Wireless Propag. Lett. , doi: 10.1109/LAWP.2023.3321914, 2023.

W. Cheng, H. Y. Fu* et al, Data-driven, multi-moment fluid modeling of Landau damping, Comput. Phys. Commun. 282 108538, https://doi.org/10.1016/j.cpc.2022.108538 , 2023.

Z. Shi, N. Zhi*, H. Y. Fu* et al, A method for dSTEC interpolation: ionosphere kernel estimation algorithm, IEEE Trans. Geosci. Remote Sens. 60 5804318, doi: 10.1109/TGRS.2022.3218365, 2022.

Y. Sui, H. Y. Fu*, D. Wang, F. Xu, S. Feng, J. Cheng, Y. Q. Jin, Sparse reconstruction of 3D regional ionospheric tomography using data from a network of GNSS reference stations, IEEE Trans. Geosci. Remote Sens. 60 4102615, 2021.

H. Y. Fu*, M. L. Jiang, J. Vierinen, I. Häggström, M. T. Rietveld, E. Varberg et al, A stimulated emission diagnostic technique for electron temperature of the high power radio wave modified ionosphere, Geophys. Res. Lett. 49 e2022GL099390, https://doi.org/10.1029/2022GL099390 , 2022.

H. Y. Fu*, M. L. Jiang, K. N. Wang, J. Wu, Q. L. Li, M. T. Rietveld, E. Varberg, I. Häggström, Y. Q. Jin, Electron temperature inversion by stimulated Brillouin scattering during electron gyro-harmonic heating at EISCAT, Geophys. Res. Lett. 47(17), 2020.

H. Y. Fu*, W. A. Scales, P. A. Bernhardt, Y. Q. Jin, S. J. Briczinski, Asymmetry in stimulated emission polarization and irregularity evolution during ionospheric electron gyroharmonic heating, Geophys. Res. Lett. 45(18), 2018.