Solym conducts research in Probability and Statistics, with a particular focus on stochastic processes, statistics for stochastic processes, and computational statistics. His work explores stable laws, heavy-tailed distributions, Stable processes, Markov chains and stochastic differential equations. He is also interested in data modeling and computing with spatial, differential and machine learning methods.
Professor (Associate & HDR) of Mathematics and Data science at University of Poitiers & School of Engineering ENSAR (https://ensar.univ-poitiers.fr/c/contacter-lensar/) & Laboratory of Mathematics and Applications, UMR CNRS 7348, Futuroscope campus.
Head of the Data Science Engineering Program at ENSAR, Niort Campus, University of Poitiers.
Head of International Relations at Engineering school ENSAR
In charge of the IRN seminar of probability, statistic and modeling (CNRS, https://www.afrimath.math.cnrs.fr/)
Scientific Officer at CIMPA, Nice (https://www.cimpa.info/fr/node/6191). Scientific Excellence Award (ex PEDR)
I am looking for motivated and talented students to join my research group. If you are interested, please feel free to contact me by email.
Projects with financial support:
Physics Informed Neural Networks with stable driven stochastic differential equations
Stein Method for Stable Distributions and Machine Learning: A new Framework for robust Learning with Heavy-Tailed Data.
Statistical learning from stable distributions : regressions models and quantile statistics with application to epidemiological and financial real datasets.
Investigation of anomalous diffusions driven by stable processes for the synthesis of non-standardly distributed images.
In order to contact me:
E-mails :
solym.manou.abi@univ-poitiers.fr
solym.manou.abi@math.univ-poitiers.fr
Physical adresses:
Laboratory of Mathematics and Applications,CNRS 7348, Futuroscope, Office 21. Tel 0549496892
Engineering school ENSAR, University of Poitiers. Office B-8
Linkedin: www.linkedin.com/in/solym-manou-abi-phd-78201042
My Git page: https://github.com/smanouab
R Studio, Python, Latex, Scilab/Matlab
Cloud computing (Azure Machine Learning)
Data analysis and visualization with R Studio & Python.
Spatial statistics with R Studio and Python.
Simulation with R Studio, Python and Scilab/Matlab.
Machine Learning with Rstudio and Python
Personal Interest
Travel, African culture, European culture, Discover new cultures, Soccer, Tennis, Basketball, International economy and finance
Cook, Personal development books, Photography, Documentary series, Life Philosophy, Political sciences
Research Interest
Non-Gaussian stable distributions and processes
Markov chains, Stochastic Differential Equations : Limit theorems, Approximation, Rate of convergence, Mixing and Ergodicity.
Statistical Inference and Computational Statistics : Stable mixture models, Density estimation, applied stochastic algorithms, statistic for stochastic process; heavy tail phenomena, non parametric estimation, extreme statistics.
Statistical/Machine Learning for stable driven stochastic models
Applied spatial statistics and Data science
Health, Environmental, Financial Data.
https://mlss-senegal.github.io/
https://lemakistatheux.wordpress.com/
Croire en soi c'est déjà réussir!
