About Abla Kammoun Abla Kammoun Senior Research Scientist, Electrical and Computer Engineering Wireless Communications machine learning Abla Kammoun focuses on the development of random matrix theory tools in view of their applications to wireless communication, signal processing and machine learning. Articles Related News October 2022 KAUST M.S./Ph.D. student receives the IEEE Communications Society’s 2022 Andrea Goldsmith Young Scholars Award 3 min read · Sun, Oct 2 2022 Awards News Spotlight Jia Ye, a M.S./Ph.D. student in the KAUST Communication Theory Lab (CTL) receives the 2022 Andrea Goldsmith Young Scholars Award from the IEEE Communications Society in recognition of her high level of research aptitude in communication theory and engagement in the professional community. July 2020 New research aims to bridge the digital divide 2 min read · Thu, Jul 16 2020 News 6G atmospheric turbulence pointing errors By the end of 2018, there were nearly 4 billion people without Internet connectivity in the world. Almost 75% of this unconnected population is located in 20 countries and is concentrated in rural, low-income, and low-literacy areas. May 2019 Measurement Selection: A Random Matrix Theory Approach 1 min read · Thu, May 30 2019 News Random Matrix Theory Measurement Wireless Communications Khalil Elkhalil , Student Member, IEEE, Abla Kammoun, Member, IEEE, Tareq Y. Al-Naffouri, Member, IEEE, and Mohamed-Slim Alouini , Fellow, IEEE Abstract This paper considers the problem of selecting a set of k measurements from n available sensor observations. The selected measurements should minimize a certain error function assessing the error in estimating a certain m dimensional parameter vector. The exhaustive search inspecting each of the (n) possible choices would require very high computational k complexity and as such is not practical for large n and k. Alternative methods with low October 2018 Nadhir Ben Rached succesfully defended his PhD Thesis 2 min read · Tue, Oct 9 2018 News The probability that a sum of random variables (RVs) exceeds (respectively falls below) a given threshold, is often encountered in the performance analysis of wireless communication systems. Generally, a closed-form expression of the sum distribution does not exist and a naive Monte Carlo (MC) simulation is computationally expensive when dealing with rare events. February 2018 Abla Kammoun receives IEEE Wireless Communication Letters Award 1 min read · Thu, Feb 15 2018 News Wireless Communications Abla Kammoun, a research scientist based in the University's SRI - Center for Uncertainty Quantification Laboratory, recently received the Institute of Electrical and Electronics Engineers (IEEE) Wireless Communication Letters (WCL) top editor award. Kammoun's achievement is a significant honor, as every year no more than five editors are selected for this award for their significant contributions and exemplary services to the IEEE WCL. The goal of the IEEE WCL is the rapid dissemination of original, cutting-edge ideas and timely, significant contributions in the theory and applications of wireless communications. July 2016 Faster prediction of wireless downtime 1 min read · Sat, Jul 2 2016 News applied mathematics computational science signal processing Computer science An efficient simulation scheme that hones in on the rarest elements in a dataset can help predict capacity exceedances in wireless networks.
KAUST M.S./Ph.D. student receives the IEEE Communications Society’s 2022 Andrea Goldsmith Young Scholars Award 3 min read · Sun, Oct 2 2022 Awards News Spotlight Jia Ye, a M.S./Ph.D. student in the KAUST Communication Theory Lab (CTL) receives the 2022 Andrea Goldsmith Young Scholars Award from the IEEE Communications Society in recognition of her high level of research aptitude in communication theory and engagement in the professional community.
New research aims to bridge the digital divide 2 min read · Thu, Jul 16 2020 News 6G atmospheric turbulence pointing errors By the end of 2018, there were nearly 4 billion people without Internet connectivity in the world. Almost 75% of this unconnected population is located in 20 countries and is concentrated in rural, low-income, and low-literacy areas.
Measurement Selection: A Random Matrix Theory Approach 1 min read · Thu, May 30 2019 News Random Matrix Theory Measurement Wireless Communications Khalil Elkhalil , Student Member, IEEE, Abla Kammoun, Member, IEEE, Tareq Y. Al-Naffouri, Member, IEEE, and Mohamed-Slim Alouini , Fellow, IEEE Abstract This paper considers the problem of selecting a set of k measurements from n available sensor observations. The selected measurements should minimize a certain error function assessing the error in estimating a certain m dimensional parameter vector. The exhaustive search inspecting each of the (n) possible choices would require very high computational k complexity and as such is not practical for large n and k. Alternative methods with low
Nadhir Ben Rached succesfully defended his PhD Thesis 2 min read · Tue, Oct 9 2018 News The probability that a sum of random variables (RVs) exceeds (respectively falls below) a given threshold, is often encountered in the performance analysis of wireless communication systems. Generally, a closed-form expression of the sum distribution does not exist and a naive Monte Carlo (MC) simulation is computationally expensive when dealing with rare events.
Abla Kammoun receives IEEE Wireless Communication Letters Award 1 min read · Thu, Feb 15 2018 News Wireless Communications Abla Kammoun, a research scientist based in the University's SRI - Center for Uncertainty Quantification Laboratory, recently received the Institute of Electrical and Electronics Engineers (IEEE) Wireless Communication Letters (WCL) top editor award. Kammoun's achievement is a significant honor, as every year no more than five editors are selected for this award for their significant contributions and exemplary services to the IEEE WCL. The goal of the IEEE WCL is the rapid dissemination of original, cutting-edge ideas and timely, significant contributions in the theory and applications of wireless communications.
Faster prediction of wireless downtime 1 min read · Sat, Jul 2 2016 News applied mathematics computational science signal processing Computer science An efficient simulation scheme that hones in on the rarest elements in a dataset can help predict capacity exceedances in wireless networks.
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