Tom M. Ragonneau
I am a Ph.D. candidate in the Department of Applied Mathematics at The Hong Kong Polytechnic University, advised by Dr. Zaikun Zhang and Prof. Xiaojun Chen, and supported by the University Grants Committee (UGC) of Hong Kong, under the Hong Kong Ph.D. Fellowship Scheme (HKPFS, ref. PF18-24698).
 R. Benshila, G. Thoumyre, M. Al Najar, G. Abessolo Ondoa, R. Almar, E. Bergsma, G. Hugonnard, L. Labracherie, B. Lavie, T. M. Ragonneau, S. Ehouarn, B. Vieublé, and D. Wilson. “A deep learning approach for estimation of the nearshore bathymetry”. J. Coast. Res. 95.sp1. (2020), pp. 1011–1015.
 T. M. Ragonneau. “Model-Based Derivative-Free Optimization Methods and Software”. Ph.D. thesis. HK: Department of Applied Mathematics, The Hong Kong Polytechnic University, 2022.
Ph.D. student in computational mathematics
M.Sc. in scientific computing
- Graduated in Performance in Software, Media and Scientific Computing.
M.Eng. in computer science and applied mathematics
- Graduated in High Performance Computing and Big Data.
Revision Tutorial Sessions (RTS) for
- AMA1110 Basic Mathematics I – Calculus and Probability & Statistics.
- AMA1120 Basic Mathematics II – Calculus and Linear Algebra.