Mohamed El Amine Seddik Email & Phone Number

Paris, Ile-De-France, France

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

Abu Dhabi Emirate, United Arab Emirates

Non-profit Moroccan AI community (www.atlasia.ma).

Paris, Île-De-France, France

Researcher at the Mathematical and Algorithmic Sciences Lab

Palaiseau, Île-De-France, France

Deep Learning for Graph and NLP

Palaiseau, Île-De-France, France

The bigdata era has driven the recent development of new algorithms and methods, often based on elementary principles allowing to handle large amounts of data. However, these large dimensional data impair the behavior of traditional methods that deserve to be revisited under the eye of more elaborate tools and methods. A better understanding of these methods in the bigdata regime indeed induces possibilities of improvements, thereby leading to the development of more efficient algorithms. The Random Matrix framework provides a powerful tool to understand and analyse the behavior of simple data models (such as the mixture of Gaussians model) in the large dimensional setting, which is naturally the case in the BigData paradigm. My PhD thesis will aim at going beyond the simple models hypothesis, to develop new methods that are more appropriate to practical datasets (structured data, images, etc.).

Palaiseau, Île-De-France, France

Consistent sparse principal components estimation using Random Matrix Theory and Concentration of Measure in the high-dimensional setting.

Région De Lille , France

Study and analysis of the ALOHA MAC layer performances in distributed wireless sensor networks (theory, simulations and experimentations).

Région De Lille , France

Non-Gaussian Interference Modelling in Wireless Sensor Networks using Poisson Points Processes.

Doctor Of Philosophy - Phd, Image And Signal Processing

PhD title: Random Matrix Theory for AI: From Theory to Practice

Master Of Engineering - Meng, Data Processing

Mva (Mathématiques, Vision Et Apprentissage)

- Introduction to statistical learning - N. VAYATIS - Probabilistic graphical models - F. BACH & G. OBOZINSKI - Deep learning - I..

Academic Exchange Program, Wireless Communications, Image Processing, Artificial Intelligence

First Year Of Engineering School, Telecommunications Engineering

Preparatory Classes (Mp*), Mathematics Physics And Engineering Sciences

Industrial Engineering And Maintenance, Industrial Engineering