communication networks

Alaa Alameer Ahmad

Research visit to communication theory lab in computer, electrical and mathematical sciences and engineering. KAUST (King Abdullah University of Science and Technology) ,Worked with research groups supervised by Prof. Mohamed-Slim Alouini and Prof. Tareq AL-Naffouri.

Ultraviolet band based underwater wireless optical communication

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KAUST

Underwater wireless optical communication (UWOC) has attracted increasing interest for data transfer in various underwater activities, due to its order-of-magnitude higher bandwidth compared to conventional acoustic and radio-frequency (RF) technologies. Our studies pave the way for eventual applications of UWOC by relieving the strict requirements on PAT using UV-based NLOS. Such modality is much sought-after for implementing robust, secure, and high-speed UWOC links in harsh oceanic environments. This work was first started with the investigation of proper NLOS configurations. Path loss (PL) was chosen as a figure-of-merit for link performance. The effects of NLOS geometries, water turbidity, and transmission wavelength are evaluated by measuring the corresponding PL. The experimental results suggest that NLOS UWOC links are favorable for smaller azimuth angles, stronger water turbidity, and shorter transmission wavelength, as exemplified by the use of 375-nm wavelength. With the understanding of favorable NLOS UWOC configurations, we established a NLOS link consisting of an ultraviolet (UV) laser as the transmitter for enhanced light scattering and high sensitivity photomultiplier tube (PMT) as the receiver. A high data rate of 85 Mbit/s using on-off keying (OOK) in a 30-cm emulated highly turbid harbor water is demonstrated. Besides the underwater communication links, UV-based NLOS is also appealing to be the signal carrier for direct communication across wavy water-air interface. The trial results indicate link stability, which alleviates the issues brought about by the misalignment and mobility in harsh environments, paving the way towards real applications.

Learning-Based Approaches for Next-Generation Intelligent Networks

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KAUST

In this thesis, we investigate how learning-based approaches are implemented to solve the communication network problems and how communication network dependencies impact the training of learning-based approaches.

Dr. Basem Shihada and Dr. Sajid Ahmed promoted to Senior Member of IEEE

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Dr. Basem Shihada and Dr. Sajid Ahmed have been elevated to the rank of Senior Member of IEEE. This is considered a significant honor since only 8% of nearly 400,000 IEEE members are Senior Members because of their superior professional achievements.

KAUST's Prof. Basem Shihada's work on Buffer Sizing for Multi-Hop Networks, granted US Patent 8,638,686

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Prof. Basem Shihada and his previous research scientist Kamran Jamshaid obtained a US Patent for their technology on optimizing buffer sizing for multi-hop networks.

A breath of fresh information to help diagnosis

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A communications concept could pinpoint a person infected with a deadly, contagious virus in the middle of a crowded airport.

Xiaobin Sun

Xiaobin Sun is a Ph.D. student at Photonics Laboratory under the supervision of Professor Boon Ooi at King Abdullah University of Science and Technology (KAUST). Research Interests Sun's research interests include Semiconductor Optoelectronic device, Optical communication, including underwater optical wireless communications, visible-light communications. Invited Talks: Visible diode lasers for high bitrate underwater wireless optical communications Boon S. Ooi, Xiaobin Sun, Omar Alkhazragi, Yujian Guo, Tien Khee Ng, Mohamed-Slim Alouini Optical Fiber Communication Conference, M3I. 1 (OFC 2019

Muhammad M. Rahman

Research scientist with Information Science lab (ISL), Electrical engineering department, KAUST, KSA

Liang Zhang

Liang Zhang is a Ph.D. student in the Networking Research Lab (NETLAB), at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Basem Shihada. Liang received a master's degree in Electrical Engineering from King Abdullah University of Science and Technology (KAUST) and a bachelor's degree in Physics from the University of Science and Technology, Beijing (USTB), China. Thesis title: Machine learning for next generation IoT Systems. In progress since Sept. 2018. Research Interests Liang's research interests include IoT, UAV, reinforcement learning

Basem Shihada

Professor, Computer Science
Professor Shihada research philosophy is to bridge the gap between theory and practice in a working system. Having intensively worked in computer networks from both theoretical and systems aspects, Shihada has acquired both a solid mathematical background and an acute sense of applying these results to build practical systems.