Hafiz Tiomoko Ali

Large Networks and Systems Group (LANEAS), CentraleSupélec, Plateau de Moulon, 3, rue Joliot Curie, 91192, Gif-sur-Yvette, FRANCE
E-Mail: 
hafiz.tiomokoali (at) centralesupelec.fr
Biography: 

Hafiz TIOMOKO ALI was born in Cotonou, Benin. He received an engineering degree in Telecommunications from Institut des télécommunications d’Oran (Algérie) and a Research master in Advanced Wireless Systems from Ecole Normale Supérieure de Cachan (France) in 2015. He worked during his master thesis on "The performance analysis of spectral community detection algorithms on large random graphs" with Romain COUILLET in the chair LANEAS. He is working since October 2015 on his PHD topic "Random Matrix Theory and Large Dimensional graphs" under the supervision of Romain COUILLET. His research interests are related to machine learning, graph theory and random matrix theory.

Research Topics: 

Machine learning, Random matrix theory, Statistical inference on graphs

Publications: 

Journal papers

Conference papers

Supplementary materials

Tutorials:

  • R. Couillet, H. Tiomoko Ali ``Random Matrices for Big Data Signal Processing and Machine Learning", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’17), New Orleans, USA, 2017.

Teaching:

2016

  • "Statistical modeling of wireless channels" (18 hours) - Magistral courses to Master SAR students (CentraleSupélec)

  • "Statistical signal analysis" (64 hours) - Lab sessions to 2nd  year CentraleSupélec engineering students 

2015

  • "Statistical modeling of wireless channels" (24 hours) - Magistral courses to Master SAR students (CentraleSupélec)

Talks:

06/03/2016- GDR Isis: Learning in Networks and Beyond "Random Matrix improved community detection in heterogeneous networks" - Télécom ParisTech

Curriculum Vitae: