About Lama Burhan Niyazi Lama Burhan Niyazi Ph.D. (former), Electrical and Computer Engineering Random Matrix Theory machine learning Ph.D. degree in the Communication Theory Lab (CTL) under the joint supervision of Professor Mohamed-Slim Alouini and Professor Tareq Al-Naffouri , King Abdullah University of Science and Technology (KAUST) Articles Related News May 2024 Congratulations to our graduates in 2023/'24 1 min read · Wed, May 22 2024 News We at Information Science Lab would like to extend our heartfelt congratulations to the following students who have graduated during the academic year 2023/2024. Ruslan Zhagypar (MSc May 2023) - PhD student at KAUST ISL Xing Liu (PhD May 2023) - Postdoctoral Researcher at the ISL lab, KAUST Kalamkas Zhagyparova (MSc July 2023) - PhD student at KAUST ISL Lama Niyazi (PhD Nov. 2023) - Postdoctoral Researcher at The University of Edinburgh with the prestigious Ibn Rushd scholarship Mohammed Aasim Shaikh (MSc Dec. 2023) - PhD student at Delft University of Technology, Netherlands Reema Alnafisi July 2020 MS Defense of Lama Niyazi 1 min read · Tue, Jul 28 2020 News Title: Asymptotic Performance Analysis of the Randomly-Projected RLDA Ensemble Classifier Date: June 24th, 2019 Thesis topic : An asymptotic study of a particular classifier using random matrix theory tools in order to derive an approximation for its error rate.
Congratulations to our graduates in 2023/'24 1 min read · Wed, May 22 2024 News We at Information Science Lab would like to extend our heartfelt congratulations to the following students who have graduated during the academic year 2023/2024. Ruslan Zhagypar (MSc May 2023) - PhD student at KAUST ISL Xing Liu (PhD May 2023) - Postdoctoral Researcher at the ISL lab, KAUST Kalamkas Zhagyparova (MSc July 2023) - PhD student at KAUST ISL Lama Niyazi (PhD Nov. 2023) - Postdoctoral Researcher at The University of Edinburgh with the prestigious Ibn Rushd scholarship Mohammed Aasim Shaikh (MSc Dec. 2023) - PhD student at Delft University of Technology, Netherlands Reema Alnafisi
MS Defense of Lama Niyazi 1 min read · Tue, Jul 28 2020 News Title: Asymptotic Performance Analysis of the Randomly-Projected RLDA Ensemble Classifier Date: June 24th, 2019 Thesis topic : An asymptotic study of a particular classifier using random matrix theory tools in order to derive an approximation for its error rate.
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