![[sigle]](UNamur.png "UNamur")
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Alexandre Mayer
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| Presentation | |
| Full name | Alexandre Mayer |
| Position | Research Associate / Professor at the University of Namur |
| Address | Université de Namur, Laboratoire de Physique du Solide, Rue de Bruxelles 61, B-5000 Namur, Belgium |
| Studies & contracts | |
| 2002-∞ | Research Associate by the FNRS, University of Namur Evolutionary methods for the engineering of optical or electronic systems related to the development of clean energies Topics: genetic algorithms, solar energy, high-frequency nano-electronics, optical rectennas |
| 1999-2002 |
Postdoctoral fellowship by the FNRS, University of Namur Postdoc at the Pennsylvania State University (USA) from February to September 2001 Topics: (photo-stimulated) electronic field emission, electron microscopy, carbon nanotubes |
| 1995-1998 |
PhD in Physics as Research Fellow by the FNRS, University of Namur Theory of three-dimensional electronic scattering by transfer matrices and Green's functions applied to the simulation of the Fresnel projection microcope Result: the highest honour with congratulations of the jury |
| 1995-1998 |
Master in physics and chemistry of interfacial materials and mesoscopic systems, University of Namur Result: the highest honour with congratulations of the jury |
| 1993-1995 |
Second degree in Physics, University of Namur Result: the highest honour with congratulations of the jury |
| 1991-1993 |
First degree in Physics, University of Namur Result: the highest honour with congratulations of the jury |
| 1985-1991 | High-school studies in Eupen |
| Experience | |
| Research | Scientific research in solid-state physics at the University of
Namur, with the financial support of the National Fund for Scientific
Research of Belgium
Topics: genetic algorithms, optimization of optical devices, photovoltaics, optical rectennas, high-frequency nanoelectronics, field electron emission |
| Teaching |
Theory of Special and General Relativity (Bachelier in Physics) Introduction to Programming with Octave Programming in Fortran 90 Numerical Methods for Physics (Master in Physics) Programming Methods for High-Performance Computation (Master in Physics) Data Science in Physics (Master in Physics) |
| Skills | |
| Certifications | Machine Learning, Deep Learning in Python, Convolutional Neural Networks in Python, Unsupervised Deep Learning in Python, Recurrent Neural Networks in Python, Advanced Computer Vision, Generative Adversarial Networks and Variational Autoencoders, Advanced Natural Language Processing and Recurrent Neural Networks, Artificial Intelligence: Reinforcement Learning in Python, Advanced AI: Deep Reinforcement Learning in Python, Cutting-Edge AI: Deep Reinforcement Learning in Python |
| Computing | Regular use of the operating systems Windows & Linux
Scientific programming in Fortran 90, OpenMP, MPI, OpenACC, MATLAB, Python Good knowledge of TensorFlow, Theano, Keras, Mathematica, COMSOL, CAMFR, HTML, PHP, JavaScript, C++ |
| Languages | French: mother tongue
English: advanced level German: good level |
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