Applied Statistics and Machine Learning

About me:

I am an Associate Professor at Lumière University Lyon 2.

I Teach Applied Mathematics and Computer Science in the Computer Science department of the Institut de la Communication (ICOM).

I am also a Researcher at the Entrepôt, Représentation, Ingénierie des Connaissances (ERIC) Laboratory, where I am a Member of the DMD Team.

Previous positions:

• From January 2023 to August 2024, I served as a Postdoctoral Researcher at the Laboratory of Computer Science, Systems Modeling, and Optimization (LIMOS) at the University of Clermont Auvergne, specifically within the Axis SIC.

• From November 2021 to December 2022, I served as a Postdoctoral Researcher at the French Institute for Research in Computer Science and Automation (INRIA) at the University of Bordeaux, collaborating with the GEOSTAT team.

• I successfully defended my PhD (Hons.) at the University of Clermont Auvergne in Applied Mathematics and Computer Science on July 7, 2021.

• From September 2020 to February 2021 and during my PhD, I served as a Temporary Teaching and Research Assistant at the University of Clermont Auvergne.

• From September 2017 to August 2018, I served as a Contractual Lecturer at the University of Sousse, Tunisia.

Some selected publications:

• Fradi, A. and Samir, C. “Decomposed Gaussian processes for efficient regression models with low complexity.” Entropy, (2025). link 

• Fradi, A. and Samir, C. “A New framework for evaluating the validity and the performance of binary decisions on manifold-valued data.” European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), (2024). link 

• Fradi, A., Samir, C., and Adouani, I. “A new Bayesian approach to global optimization on parametrized surfaces in R^3”. Journal of Optimization Theory and Applications, (2024). link

• Fradi, A. and Daoudi, K. “Reduced-rank spectral mixtures Gaussian processes for probabilistic time-frequency representations.” Signal Processing, (2024). link 

• Fradi, A. and Samir, C. “A new framework for classifying probability density functions.” European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), (2023). link 

• Tran, T-T., Fradi, A., and Samir, C. “Learning, inference, and prediction on probability density functions with constrained Gaussian processes.” Information Sciences, (2023). link 

• Fradi, A. and Samir, C. “Learning and regression on the Grassmannian”. The Pacific Rim International Conference on Artificial Intelligence (PRICAI), (2023). link

• Fradi, A., Samir, C., Braga, J., Joshi, S.H. and Loubes, J-M. “Nonparametric Bayesian regression and classification on manifolds, with applications to 3D cochlear shapes.” IEEE Transactions on Image Processing, (2022). link 

• Fradi, A., Feunteun, Y., Samir, C., Baklouti, M., Bachoc, F. and Loubes, J.M. “Bayesian regression and classification using Gaussian process priors indexed by probability density functions.” Information Sciences, (2021). link 

• Braga, J., Samir C., Fradi, A., Feunteun, Y., Jakata, K. Zimmer V.A., Zipfel, B., Thackeray, J.F., Macé, M., Wood, B.A. and Grine, F.E. “Cochlear shape distinguishes southern African early hominin taxa with unique auditory ecologies.” Scientific reports, (2021). link 

Open positions:

Master’s Internship (M2): Reduced Spectral Mixture Gaussian Modeling with Automatic Frequency Selection for Pathological Speech Analysis 

Interested candidates are welcome to contact me for further information

Teaching:

• Graphs (BUT1)

• Digital Tools for Descriptive Statistics (BUT1)

• Cryptography (BUT2)

• Mathematical Modeling (BUT2)

• Analysis and Algebra (L2)

• Probability (BUT2, L3)

• Inferential Statistics (L3)

• Linear Modeling (L3)

• Optimization Methods for Decision Support (BUT3)

• Temporal Data Analysis (M2)

Scientific event organizations:

• Member of the organization team of workshop Machine Learning, Optimization and Manifolds (MLOMA), (2023). link 

Awards and distinctions:

• Best Paper Award at the PRICAI Conference in Jakarta, (2023). link 

• CNRS Award from the 80|Prime program, (2019). link