Biography
Dr. Farouk Yahaya’s research interests include matrix factorization, glottal inverse filtering, source separation, low-rank approximations, and sensor calibration.
He received both his B.Sc. and M.Sc. degrees, in Communications and Network Security and Information Science respectively in 2010 and 2014 from the University for Information Science and Technology “St. Paul the Apostle. He later obtained his Phd in Signal Processing from the Université du Littoral Côte d’Opale, Calais, France in September 2021.
He is currently affiliated with the University of Bordeaux as a postdoctoral research associate, where he conducts his research at the Research Center INRIA Bordeaux - South West.
- Matrix Factorization/Completion
- Low-rank approximations
- Random projections and Sampling
- In situ sensor calibration
- Big data
-
PhD in Signal Processing, 2021
Université du Littoral Côte d'Opale
-
M.Sc. Information Science and Technology, 2017
University of Information Science & Technology, North Macedonia
-
BSc in Communications and Network Security, 2014
University of Information Science & Technology, North Macedonia
News
2 papers accepted at the 46th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2021:
-
In situ calibration of cross-sensitive sensors in mobile sensor arrays using fast informed non-negative matrix factorization" by O. Vu thanh, M. Puigt, F. Yahaya, G. Delmaire, and G. Roussel (paper).
-
Random Projection Streams for (Weighted) Nonnegative Matrix Factorization" by F. Yahaya, M. Puigt, G. Delmaire, and G. Roussel (paper).
1 paper presented at the international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST) 2020:
- Gaussian Compression Stream: Principle and Preliminary Results" by F. Yahaya, M. Puigt, G. Delmaire, and G. Roussel (paper).
1 paper accepted at the 27th European Signal Processing Conference (EUSIPCO) 2019:
- How to apply random projections to nonnegative matrix factorization with missing entries?" by F. Yahaya, M. Puigt, G. Delmaire, and G. Roussel, pp. 1–5 (paper).
1 paper presented at the international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST) 2018:
- Faster-than-fast NMF using random projections and Nesterov iterations" by F. Yahaya, M. Puigt, G. Delmaire, and G. Roussel (paper).