معرفی
Clément FERNANDES is a Lecturer at Telecom SudParis, part of the SAMOVAR laboratory under Institut Polytechnique de Paris. His research focuses on statistical modeling and unsupervised learning techniques, particularly applying hidden Markov chains to data and image segmentation. He holds a PhD in Discrete Mathematics from Institut Polytechnique de Paris (2022), where his thesis explored Triplet Markov Chains in image segmentation.
His recent work includes advancing non-stationary data segmentation methods and developing forecasting models using Gaussian Markov frameworks. Though no explicit grants or awards are mentioned, his publications reflect contributions to approximate reasoning and applied statistics in engineering contexts. He is affiliated with the SAMOVAR laboratory and maintains an active publication record in top-tier journals like International Journal of Approximate Reasoning.
