Topics

<> machine learning (21)

Omar Ahmed

M.S. Student, Bioengineering
Omar Ahmed is an MS student in the Bioengineering department at KAUST. His research explores the mechanisms that enable brain signal generalisability across individuals, addressing how neural activity patterns can be reliably interpreted despite significant inter-subject and temporal variability. A major challenge in neuroscience is that brain activity varies substantially between people and even within the same person over time, which limits the development of universal diagnostic and therapeutic tools. Towards this goal, Omar is developing deep learning models that can identify consistent
KAUST-CEMSE-CS-VISION-CAIR-Dalal-Aldossary

Dalal E. Aldossary

M.S. Student, Computer Science

Zakaria El Kassimi

KAUST offers a unique environment where applied mathematics and data science meet real-world impact, with exceptional resources and a supportive community for ambitious research.

Jonathan Klein

Research Scientist, Computer Science
My fields of research interests include computational simulation, plant simulation and modeling, synthetic training data, machine learning architectures, none-line-of-sight imaging, and computational photography.

Yibin Wang

Keep Moving forward

Andrea Vanessa Rocha

Research Specialist, Statistics
Chengjie zhao

Chengjie Zhao

Visiting Researcher, Information Science Lab
Visiting Student, King Abdullah University of Science and Technology

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Hayssam Dahrouj

Senior Research Scientist at KAUST (King Abdullah University of Science and Technology)

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Hani A. Al Majed

M.S. Student
Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science
Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.

Saleh AlJazzar

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Muhammad Esmat

Visiting student at, King Abdullah University of Science and Technology (KAUST).

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

Intern (former), Information Science Lab
Visiting student at King Abdullah University of Science and Technology (KAUST).

Abdulkarem Badiea Alshaibani

Visiting Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).

Our paper entitled "Practical and Dynamic Buffer Sizing using LearnQueue" has been accepted for publications at IEEE Transactions on Mobile Computing.

1 min read ·
Our paper entitled "Practical and Dynamic Buffer Sizing using LearnQueue" has been accepted for publications at IEEE Transactions on Mobile Computing.

Meet KAUST prospective student: Sahar Ammar

1 min read ·
Sahar Ammar will join KAUST this fall as a M.S./Ph.D. candidate and member of the Networking Research Lab and Communication Theory Lab under the co-supervision of Professor Basem Shihada and Professor Mohamed-Slim Alouini. The multidisciplinary engineering graduate will join the University from Tunisia Polytechnic School (TPS).

Ismail AlQerm

Ismail AlQerm obtained his Ph.D. degree in Computer Science under the supervision of Professor Basem Shihada at King Abdullah University of Science and Technology (KAUST). Currently, he is working as a Post-Doctorate Fellow at the University of Missouri-St. Louis, USA. Research Interests Ismail's research interests included Cognitive radios, Resource Allocation, Machine Learning, Cellular Networks, and HetNets. Thesis title: Novel Machine Learning-Based Techniques for Efficient Resource Allocation in Next Generation Wireless Networks. Academic Advisors Basem Shihada, Professor, Computer
<> artificial intelligence (12)

Omar Ahmed

M.S. Student, Bioengineering
Omar Ahmed is an MS student in the Bioengineering department at KAUST. His research explores the mechanisms that enable brain signal generalisability across individuals, addressing how neural activity patterns can be reliably interpreted despite significant inter-subject and temporal variability. A major challenge in neuroscience is that brain activity varies substantially between people and even within the same person over time, which limits the development of universal diagnostic and therapeutic tools. Towards this goal, Omar is developing deep learning models that can identify consistent

Artificial intelligence takes to the skies to protect a Saudi tradition

1 min read ·
KAUST scientists develop an affordable and simple AI system for local camel herders
Salem Alsaqaf

Salem Al-saqaf

Salem Al-Saqaf is an Electrical and Computer Engineer specializing in semiconductors, electronics and AI. He combines strong academic training with practical industry experience in AI-driven solutions, data science, and system optimization. His work spans applied research and real-world innovation, aiming to advance intelligent systems, enhance semiconductor applications, and develop technologies that bridge academic discovery with industrial impact.
Najmeddine Dhieb

Najmeddine Dhieb

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Yasmeen Alsaedy

M.S. Student, Computer Science
She is an AI researcher specializing in generative AI and deep learning. With a strong academic foundation and hands-on experience in machine learning, data science and artificial intelligence, she is passionate about advancing AI applications in real-world scenarios. She has contributed to cutting-edge projects, published research, and collaborated on innovative solutions that bridge the gap between AI theory and practice. Her expertise includes designing and implementing advanced data models, AI-driven visual/text computing, and deep learning architectures.

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab
Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)

Paving the Way for Next Generation Wireless Data Center Networks

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B1 L4 R4214

As big data, articial intelligence, cloud services, cellular infrastructure, content delivery; all of which entail interconnected and sophisticated computing and storage resources. Recent studies on traditional data center networks (DCNs) revealed two key challenges: a biased distribution of inter-rack trac, and unidentied ow multi-classes best known as delay sensitive mice ow (MF) and throughput-hungry elephant ow (EF).

Divided attention could ease wireless congestion

1 min read ·
Predicting wireless traffic using artificial intelligence could improve the reliability of future wireless communications.

Amer AlGhadhban

Amer AlGhadhban is a Ph.D. student under the supervision of Professor Basem Shihada at Networking Research Lab in King Abdullah University of Science and Technology (KAUST). Amer obtained both of his degrees B.S. and M.Sc. in Computer Engineering from King Fahd University of Petroleum and Minerals (KFUPM). He was a Cisco Academy instructor and during that he earned multiple professional certificates: Cisco Certified Network Associate (CCNA), Cisco wireless, SANS-GIAC Certified Firewall Analyst (GCFW-Gold), Certified Ethical Hacker (CEH), Security Certified Network Engineer (SCNP), and SANS
<> IoT (12)
Salem Alsaqaf

Salem Al-saqaf

Salem Al-Saqaf is an Electrical and Computer Engineer specializing in semiconductors, electronics and AI. He combines strong academic training with practical industry experience in AI-driven solutions, data science, and system optimization. His work spans applied research and real-world innovation, aiming to advance intelligent systems, enhance semiconductor applications, and develop technologies that bridge academic discovery with industrial impact.

Serine Medjber

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

Mohammed Amine Labbas

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri
Ruochen Zhu

Ruochen Zhu

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

Intern (former), Information Science Lab
Visiting student at King Abdullah University of Science and Technology (KAUST).

Redesigning Internet Protocols for Emerging Internet of Things Applications

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IoT

This project aims at developing scientific and technological advances required for the deployment of real-time applications as part of the IoT paradigm.

Accepted paper at IEEE Globecom 2017

1 min read ·

IoT

A. Alabbasi, B. Shihada, and C. Cavdar, "On Energy Efficiency of Prioritized IoT Systems", IEEE Globecom, Accepted, 2017.

Accepted paper at IEEE ICC 2018

1 min read ·

IoT

M. Alaslani* and B. Shihada, "Intelligent Edge: an Instantaneous Detection of IoT Traffic Load", in Proc. IEEE International Conference on Communications (ICC), pp. 1 - 6, 2018.

Wiem Abderrahim

Postdoctoral Research Fellow (former), Networking Research Lab
Wiem Abderrahim was a postdoctoral fellow under the supervision of Prof. Mohamed-Slim Alouini and Prof. Basem Shihada at the Communication Theory Lab, King Abdullah University of Science and Technology (KAUST). She completed her engineering studies in telecommunications with honors at the Higher School of Communications of Tunis, Carthage University, in 2013. In 2017, she received her doctoral degree in Information and Communications Technologies from the same institution. Before joining KAUST, she worked as an adjunct professor at the Higher School of Communications of Tunis in 2017. She

Enas Ahmad

Enas Ahmad obtained her Master's degree in Computer Science under the supervision of Professor Basem Shihada at King Abdullah University of Science and Technology (KAUST). Research Interests Enas' research interests included the area of computer networking and systems, specifically software-defined networking, data centers, the internet of things, and participatory sensing. Thesis title: " Energy Efficient Smartphones: Minimizing the Energy Consumption of Smartphone's GPU using DVFS Governors". Education Profile M.sc. in Computer Science, King Abdullah University of Science and Technology
<> Deep learning (10)

Zakaria El Kassimi

KAUST offers a unique environment where applied mathematics and data science meet real-world impact, with exceptional resources and a supportive community for ambitious research.

Adonai Vera

Machine Learning Engineer with 6+ years of experience specializing in computer vision, deep learning, and robotics. Led AI solutions for retail analytics, UAV systems, and edge devices. Author, educator, and TensorFlow Google Developer Expert.

Juan Pablo Muñoz Díaz

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Mhd. Emad Alolaby

Sixiu Liu

Ph.D. degree in Earth science and engineering with the King Abdullah University of Science and Technology (KAUST)

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab
Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)
<> Computer Vision (9)

Omar Ahmed

M.S. Student, Bioengineering
Omar Ahmed is an MS student in the Bioengineering department at KAUST. His research explores the mechanisms that enable brain signal generalisability across individuals, addressing how neural activity patterns can be reliably interpreted despite significant inter-subject and temporal variability. A major challenge in neuroscience is that brain activity varies substantially between people and even within the same person over time, which limits the development of universal diagnostic and therapeutic tools. Towards this goal, Omar is developing deep learning models that can identify consistent
KAUST-CEMSE-CS-VISION-CAIR-Dalal-Aldossary

Dalal E. Aldossary

M.S. Student, Computer Science

Adonai Vera

Machine Learning Engineer with 6+ years of experience specializing in computer vision, deep learning, and robotics. Led AI solutions for retail analytics, UAV systems, and edge devices. Author, educator, and TensorFlow Google Developer Expert.

Abdelrahman Eldesokey

Postdoctoral Research Fellow
Abdelrahman Eldesokey is a Postdoctoral Fellow at KAUST, working on Generative AI and Computer Vision. His research focuses on diffusion models, multimodal large language models, and vision foundation models, aiming to make generative systems more controllable, interpretable, and reliable.
Najmeddine Dhieb

Najmeddine Dhieb

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Aznaur Aliev

M.S. Student

Hani A. Al Majed

M.S. Student
Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science
Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.
<> Signal processing (9)

Artificial intelligence takes to the skies to protect a Saudi tradition

1 min read ·
KAUST scientists develop an affordable and simple AI system for local camel herders

Serine Medjber

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

Mohammed Amine Labbas

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri
Chengjie zhao

Chengjie Zhao

Visiting Researcher, Information Science Lab
Visiting Student, King Abdullah University of Science and Technology
Almutasem Bellah Enad

Almutasem Bellah Enad

Visiting Researcher (former), Information Science Lab
Visiting Student, King Abdullah University of Science and Technology, Present M.Eng in Electrical and Computer Engineering, American University of Beirut, Lebanon
Ahmad Dkhan

Ahmad Dkhan

Visiting Scholar (former), Information Science Lab
Visiting Student, King Abdullah University of Science and Technology Present -Master's in Electrical and Computer Engineering, American University of Beirut, Lebanon

Saleh AlJazzar

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

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.

Abdullatif Al-Rabah

MS Degree, Computer, Electrical and Mathematical Sciences and Engineering at King Abdullah University of Science and Technology (KAUST).
<> cybersecurity (8) <> wireless sensor networks (8)

Perpetual Wireless Sensor Networks

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In this project, we tackled the dense deployment and energy efficient operation of sensor systems in underwater and terrestrial environments.

Nour Smaoui

Visiting Student, Networking Research Lab
Nour Smaoui is a visiting student from the National School of Computer Sciences, Tunisia, at the Networking Research Lab, in King Abdullah University of Science and Technology (KAUST), Saudi Arabia.

Matthew Debont

Matthew Debont obtained his Master's degree in Computer Science under the supervision of Professor Basem Shihada at King Abdullah University of Science and Technology (KAUST). Research Interests Matthew's research interests included Wireless Sensor Networks, Computer Networking, Agile Software Development, and Information and Communication Technology. Thesis title: " Event Localization in Underwater Wireless Sensor Networks using Monitoring Courses." Matthew's work contributes to improving the UK's evidence-based policies in the environmental sector. More specifically, his current project

Chun Pong Lau

Chun Pong Lau obtained both his M.S. degree and Ph.D. degree from Computer Science at King Abdullah University of Science and Technology (KAUST). His Ph.D. thesis supervisor was Prof. Basem Shihada. Currently, Chun is working as a Researcher at Huawei, Hong Kong. Education Profile Ph.D., Computer Science, KAUST, Saudi Arabia M.Sc., Computer Science, KAUST, Saudi Arabia B.Sc., Computer Engineering, HKUST, Hong Kong Scientific and Professional Membership ​​​​IEEE, Student Member Research Interests Chun's research interests included video multicasting and broadcasting, superposition coded

Ammar Meer

Ammar Meer obtained his Master's degree in Computer Science under the supervision of Professor Basem Shihada at King Abdullah University of Science and Technology (KAUST). Thesis title: " H-Seda: Partial Packet Recovery with Heterogeneous Block Sizes for Wireless Sensor Networks."

Ahmad Al-Showail

KAUST alumnus Ahmad Showail has recently been appointed dean of the College of Computer Science and IT at the new non-profit university in Madinah, University of Prince Mugrin ( UPM). Showail graduated from the computer engineering department with honors from King Fahd University of Petroleum and Minerals ( KFUPM) in 2005. The Madinah-based alumnus started his career as a computer engineer in the Saudi Basic Industries Corporation (SABIC) before developing an interest in academia. This led him to teach at Yanbu University College at the Royal Commission in Yanbu before joining KAUST in 2009 as

Abderrahman Ben Khalifa

Visiting Student, Networking Research Lab
Abderrahman Ben Khalifa was a visiting student from The Institut National des Sciences Appliquées de Lyon, (INSA Lyon) France, at the Networking Research Lab, in King Abdullah University of Science and Technology (KAUST), Saudi Arabia. Currently, Abderrahman is a Ph.D. student at the University of Waterloo, Canada. During his internship at the Networking Research Lab (NETLAB), he worked on the project titled "Perpetual Wireless Sensor Networks."

Abdullah Halafi

Abdullah Halafi obtained his Ph.D. degree in Electrical Engineering under the supervision of Professor Basem Shihada at Networking Research Lab in King Abdullah University of Science and Technology (KAUST), in 2018. Abdullah Al-Halafi received the B.Sc. degree in electrical engineering from the King Fahd University of Petroleum and Minerals, Saudi Arabia, in 2003, the M.Sc. degree in electronics and electrical engineering from the University of Glasgow, U.K., in 2006. He was involved in engineering and project management of various large-scale communications and control systems projects at
<> communications (7)

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

1 min read ·
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

1 min read ·
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.

Prof. Osama Amin Elevated To Senior Member Of IEEE

1 min read ·
Dr. Osama Amin has been elevated to the rank of Senior Member of IEEE. This is considered an important honor since only 8% of nearly 400,000 IEEE members are Senior Members because of their superior professional achievements.

No strings attached for underwater video system

1 min read ·
An underwater wireless optical communications system for streaming high-quality, live video.

A clearer future for underwater exploration

1 min read ·
An optical communication system could revolutionize underwater exploration and discovery.

Angling for underwater WiFi

1 min read ·
Scuba divers could send sea life shots in real time using an aquatic internet service.

Divided attention could ease wireless congestion

1 min read ·
Predicting wireless traffic using artificial intelligence could improve the reliability of future wireless communications.
<> communication networks (6)

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.

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

1 min read ·
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

1 min read ·
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

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

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
<> Cyber Security (5) <> integrated photonics (5)

Naiqin Bu

KAUST-CEMSE-ECE-IPL-Nikita-Kondratyev

Nikita Kondratyev

Mikhail Mishevskii

Mikhail received the B.S. degree in applied mathematics and physics from Novosibirsk State, Novosibirsk, Russia and received a master's degree with honors from the Skolkovo Institute of Science and Technology (Skoltech). His research interests include: nonlinear optics, integrated photonics, ultrafast lasers, frequency comb generation. During his time at Skoltech participated in the Skoltech Translational Research and Innovation Program industrial project to create a pulsed submicron laser for pumping a single-photon quantum light source. Mikhail awarded with Scholarship of the President of

Aleksandr Movsisian

Aleksandr received his bachelor’s degree in 2023 in Physics from Moscow State University (MSU, ranked first in Russia) and completed a master’s degree in Physics with honors at the same institution. He has over two years of research experience in quantum optics, optomechanics, and quantum measurement theory as part of the LIGO group at MSU. His work has focused on squeezed states of light, measurement topologies, and methods to overcome the Standard Quantum Limit, resulting in two first-author publications in JOSA B and Optics Letters. Aleksandr also gained hands-on experimental experience at

Aram Mkrtchyan

Postdoctoral Research Fellow, Electrical and Computer Engineering
<> ISAC (5)
kaust-cemse-ece-ccsl-changhao-he

Changhao He

kaust-cemse-ece-ccsl-yousef-awad

Yousef Awad

kaust-cemse-ece-ccsl-bumin-kagan-yildirim

Bumin Kagan Yildirim

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Bang Huang works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Bang Huang received the M.S. degree (with honors) in electrical engineering and Ph.D degree in information and communication engineering from the School of Information and Communication Engineering (SICE), University of Electronic Science and Technology of China (UESTC), Chengdu, China, in

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022
<> wireless mesh networks (5)

TV and Video Broadcasting Framework for Mobile Networks

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The work on multimedia over wireless mesh networks has inspired us to explore other wireless transmission standards.

M3: Multimedia for Mobile Nodes in a Wireless Mesh Network

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This project committed to address the key problems for supporting multimedia over wireless mesh networks.

Buffer Management in Wireless Mesh Networks

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Wireless mesh networks (WMNs) are a type of ad hoc wireless network that uses multi-hop wireless communications to provide or improve connectivity between wireless devices.

Faisal Nawab

Faisal Nawab graduated with an MS degree in Computer Science from King Abdullah University of Science and Technology (KAUST) in 2011. Nawab currently works as an Assistant Professor of computer science and engineering in the Department of Computer Science and Engineering at the University of California, Santa Cruz, where he works on developing‏ systems for quick and accurate data analysis of new applications in cloud computing and Big Data. Education and Early Career Nawab earned a B.S degree in Computer Science from the KFUPM (King Fahd University of Petroleum and Minerals). He then studied

Ahmad Al-Madani

Visiting Student, Networking Research Lab
Ahmad Al-Madani is a visiting student from the King Fahd University of Petroleum and Minerals (KFUPM), KSA, at the Networking Research Lab, in King Abdullah University of Science and Technology (KAUST), Saudi Arabia.
<> 5G networks (4) <> AI (4) <> Computer science (4) <> embedded systems (4) <> energy harvesting (4) <> Underwater wireless optical communication (4)

Accepted paper at IEEE/OSA Journal of Optical Communications and Networking

1 min read ·
A. Halafi, H. Oubei, B. Ooi, and B. Shihada, "Real-time Video Transmission over Different Underwater Wireless Optical Channels using Directly Modulated 520nm Laser Diode", IEEE/OSA Journal of Optical Communications and Networking, Accepted, 2017

CEMSE's new underwater wireless optical communication (UWOC) opens new frontier for off-shore control system

1 min read ·
Billions of liters of fuel travel every day along an intricate network of pipelines. Reports show that 15 thousand kilometers of infrastructure exist worldwide, with more than a third being underwater. Efficient real-time monitoring is the next frontier to achieve improved industrial productivity and prevent environmental accidents.

Our paper entitled "UHD Video Transmission over Bi-Directional Underwater Wireless Optical Communication" has been accepted for publication at IEEE Photonics

1 min read ·
Our paper entitled "UHD Video Transmission over Bi-Directional Underwater Wireless Optical Communication" has been accepted for publication at IEEE Photonics.

Our paper entitled "Queuing Delay Model for Video Transmission over Multi-Channel Underwater Wireless Optical Networks" has been accepted for publications at IEEE Access.

1 min read ·
Our paper entitled "Queuing Delay Model for Video Transmission over Multi-Channel Underwater Wireless Optical Networks" has been accepted for publications at IEEE Access.
<> Wireless Communications (4) <> wireless networks (4) <> 6G (3) <> bioscience (3) <> cognitive radio systems (3) <> electrical engineering (3) <> FPGA (3) <> haps (3)

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Bang Huang works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Bang Huang received the M.S. degree (with honors) in electrical engineering and Ph.D degree in information and communication engineering from the School of Information and Communication Engineering (SICE), University of Electronic Science and Technology of China (UESTC), Chengdu, China, in

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022
H

Hussein Al-Shatri

I chose KAUST because of its reputation for excellence in research and its recent emphasis on applied research. With my extensive background in both academic research and industrial development, I am excited to contribute my experience and ambition. My goal is to foster new ideas and develop innovative prototypes in the field of wireless communications, which will undoubtedly enhance people's lives.
<> LiDAR (3) <> MATLAB (3) <> Nonlinear Optics (3) <> Optical Wireless Communication (3) <> optimization (3) <> Photonics and optoelectronics (3) <> Python (3) <> Reinforcement Learning (3) <> remote sensing (3) <> software defined network (3) <> Unmanned aerial vehicles UAVs (3) <> Visible light communications (3) <> 5G (2) <> 5G and beyond (2) <> Advanced Perception (2) <> AI4Science (2) <> applied mathematics (2) <> Automous Vehicles (2) <> big data (2) <> biomedical devices (2) <> cloud computing (2) <> cloud services (2) <> Cognitive radios (2) <> communication (2) <> communication systems (2) <> Computational Neuroscience (2) <> computer networking and systems (2) <> computer networks (2) <> control systems (2) <> Cooperative communications (2)

Sidrah Javed

Sidrah Javed is a Ph.D. candidate in Communication Theory Lab (CTL), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST). She is supervised by Professor Mohamed-Slim Alouini and co-supervised by Professor Basem Shihada. Education and Early Career Sidrah completed her M.S. in Electrical Engineering under the supervision of Professor Mohamed-Slim Alouini from KAUST in 2016. During her M.S. studies, she has actively participated in setting up the ProtoLab in KAUST Innovation Cluster as a Lab Intern. Sidrah has

Shuping Dang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Shuping Dang is a Postdoctoral Fellow working with Prof. Mohamed-Slim Alouini and Prof. Basem Shihada, Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology. Education and Early Career Shuping Dang received B.Eng (Hons) in Electrical and Electronic Engineering from the University of Manchester (with first class honors) and B.Eng in Electrical Engineering and Automation from Beijing Jiaotong University in 2014 via a joint `2+2' dual-degree program. He also received D.Phil in Engineering Science from University of Oxford in 2018
<> data analysis (2) <> Digital signal processing (2) <> Dynamical Systems (2) <> Electroencephalograms (2) <> energy efficiency (2) <> Generative AI and LLMs (2) <> healthcare (2) <> HPC (2) <> interference management (2) <> Large Language Models (2) <> LLM (2) <> Localization (2) <> machine learning for wireless communication (2) <> marine science (2) <> modeling (2) <> multimodal sensing (2) <> nanomaterials (2) <> Network Design (2) <> network security (2) <> Next-generation Wireless Networks (2) <> Non-Terrestrial Networks (2) <> optical computing (2) <> optical networks (2) <> orthogonal frequency-division multiplexing (2) <> photonic integrated circuits (2) <> Programming language (2) <> quantum communication (2) <> SDN Networks (2) <> smart health (2) <> telecommunication (2) <> ultrafast fiber lasers (2) <> Underwater Optical Wireless Communications and Networking (2) <> underwater sensor (2) <> wireless communication (2) <> 2D materials (1) <> 6G On-chip reconfigurable intelligent surface (1) <> 6G On-chip reconfigurable transmitarray and phased array (1) <> 6g wireless systems (1) <> Action Recognition (1) <> Action understanding (1) <> adaptive control (1) <> Adaptive Optics (1)