Khalil Elkhalil
- Postdoctoral Research Fellow, Electrical and Computer Engineering
- M.S. (former), Electrical and Computer Engineering
PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.
Research Interests
- Random matrix theory,
- High dimensional statistics.
- Machine learning.
- Data science.
- Selected Applications.
- Statistical Signal Processing.
- Supervised Learning Algorithms.
- Feedback Reduction in Multiuser and Relay Networks.
Awards and Distinctions
- 1st Place - National entrance examination , Ecole Normale Superieure de Tunis, 2009
- Finalist for the best student paper award , IEEE MLSP conference , 2017
Qualifications
Education
- Master of Engineering (MEng)
- Electrical Engineering, KAUST (King Abdullah University of Science and Technology), Saudi Arabia, 2015
- Bachelor of Engineering (B.Eng.)
- Telecommunications, SUP’COM, Tunisia, 2012
Licenses and Certifications
- Fundamentals of Reinforcement Learning, Coursera , Wed, Jan 1 2020
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Coursera , Mon, Jan 1 2018
- Neural Networks and Deep Learning, Coursera, Mon, Jan 1 2018
Quote
I think that embracing uncertainty is the key to understand the meaning of our existence and that truth in its absolute sense is nothing but an illusion. With a great passion for statistics, I try to make tiny improvements on the way we quantify uncertainty.
Selected Publications
- Elkhalil, K. ., Kammoun, A. ., Couillet, R. ., Al-Naffouri, T. Y., & Alouini, M.-S. . (2020). A Large Dimensional Study of Regularized Discriminant Analysis.
- Elkhalil, K. ., Kammoun, A. ., Couillet, R. ., Al-Naffouri, T. Y., & Alouini, M.-S. . (2017). Asymptotic performance of regularized quadratic discriminant analysis based classifiers. 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP). Presented at the. Tokyo, Japan: IEEE.
- Elkhalil, K. ., Eltayeb, M. E., Kammoun, A. ., Al-Naffouri, T. Y., & Bahrami, H. R. (2016). On the Feedback Reduction of Multiuser Relay Networks Using Compressive Sensing.
- Elkhalil, K. ., Eltayeb, M. E., Shibli, H. ., Bahrami, H. R., & Al-Naffouri, T. Y. (2015). Opportunistic relay selection in multicast relay networks using compressive sensing. IEEE Global Communications Conference. Presented at the. Austin, TX, USA: IEEE.
