Topics

<> machine learning (19)

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).

Embedded and Cyber Connected Systems (ECCS) Workshop

Prof. Ahmed Eltawil, Prof. Charalambos Konstantinou, Prof. Khaled Nabil Salama

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B2 L5 R5220

The workshop aims to bring together experts to present their latest research efforts related to Embedded and Cyber Connected Systems architectures and platforms that can scale efficiently, as well as operate securely and resiliently to provide the necessary resources demanded by current and future network applications.

Meet KAUST prospective student: Waleed Abu Laban

1 min read ·
Waleed Abu Laban is an electrical engineering graduate who will join KAUST this fall as a M.S./Ph.D. candidate and member of the KAUST Communication and Computing Systems Lab under the supervision of Professor Ahmed Eltawil.

Brain-on-a-chip would need little training

1 min read ·
A neural network that mimics the biology of the brain can be loaded onto a microchip for faster and more efficient artificial intelligence.

Professor Eltawil officially inducted as a Senior Member of the National Academy of Inventors

1 min read ·
Earlier this year, KAUST Professor of Electrical Engineering Ahmed Eltawil was elected as a Senior Member of the National Academy of Inventors (NAI). Eltawil was officially inducted as a Senior Member at the recent NAI 10th Annual Meeting held in Florida, U.S.

Best Poster Award -3rd place by Dr. Asmaa Abdallah

1 min read ·
Last week our postdoc Dr. Asmaa Abdallah presented her work on Deep Learning Based Frequency-Selective Channel Estimation for Hybrid mmWave MIMO Systems in the Research conference: Extreme Bandwidth Communication: From mmWave, THz to Optical Bands. Her work is about channel estimations for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. These systems typically employ hybrid mixed signal processing to avoid expensive hardware and high training overheads. However, the lack of fully digital beamforming at mmWave bands imposes additional challenges in channel

Waleed Abu Laban

Waleed Abu Laban is a M.S./Ph.D. candidate at the KAUST Communication and Computing Systems Lab under the supervision of Professor Ahmed Eltawil. Before joining KAUST, Waleed obtained a bachelor's degree in electrical engineering from The University of Jordan. Research Interests Waleed's research interests include signal processing and machine learning.

Kamilya Smagulova

Postdoctoral Research Fellow, Communication and Computing Systems Lab
Education and early career Kamilya received her bachelor degree in Radio Engineering and Telecommunications from Almaty University of Power Engineering and Telecommunications (2008) and masters degree in Nanotechnology from University College London (2011). In 2021 she obtained her PhD degree in Electrical and Computer Engineering from Nazarbayev University. Currently Kamilya is a postdoctoral fellow at Communication and Computing Systems Lab (CCSL) under supervision of Prof. Ahmed Eltawil. Her research interests lie primarily in the area of machine learning and resistive hardware accelerators

Ayan Shymyrbay

Ayan Shymyrbay is a Ph.D. candidate in the electrical and computer engineering program at the King Abdullah University of Science and Technology (KAUST).

Abdullah Adil Albakry

Education and early career: I graduated with my bachelor’s degree in Electrical and Computer engineering with a mathematics minor from North Carolina State University (NCSU) in the United States. Now, I am a MS/PhD student at KAUST supervised by Dr. Ahmed Eltawil. Research Interest: Machine Learning and Communication Education Profile B.Sc., Electrical and Computer Engineering, North Carolina State University, United States, 2020.
<> Deep learning (11) <> Signal processing (7)

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).

Peter Schmid

​Professor Schmid's research interests are in theoretical and computational fluid dynamics, with emphasis on hydrodynamic stability theory, flow control, model reduction and system identification. He is also interested in computational techniques for flow optimization and quantitative flow analysis.

Meet KAUST prospective student: Waleed Abu Laban

1 min read ·
Waleed Abu Laban is an electrical engineering graduate who will join KAUST this fall as a M.S./Ph.D. candidate and member of the KAUST Communication and Computing Systems Lab under the supervision of Professor Ahmed Eltawil.

Waleed Abu Laban

Waleed Abu Laban is a M.S./Ph.D. candidate at the KAUST Communication and Computing Systems Lab under the supervision of Professor Ahmed Eltawil. Before joining KAUST, Waleed obtained a bachelor's degree in electrical engineering from The University of Jordan. Research Interests Waleed's research interests include signal processing and machine learning.

Ahmed Eltawil

Professor Eltawil is an expert in wireless communication system design with an established history of university-industry collaboration. He continues to act as an adviser in developing wireless systems for leading international companies.
<> artificial intelligence (6)

Najmeddine Dhieb

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)

Brain-on-a-chip would need little training

1 min read ·
A neural network that mimics the biology of the brain can be loaded onto a microchip for faster and more efficient artificial intelligence.
<> Computer Vision (5)

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.

Mojtaba Alshams

Education and Early Career Earned a BS in Electrical Engineering with 2nd honor from King Fahd University of Petroleum & Minerals where the degree specialization was more oriented around communication, electronics and embedded systems. Had about three years of high professional experience and empowered leadership in industrial electrical and instrumentation engineering works in district cooling plant construction project. Currently pursuing MS degree in Electrical & Computer Engineering at KAUST with a thesis in distributing ML algorithms across hardware accelerators. Simultaneously, engaging
<> Wireless Communications (5)

Saleh AlJazzar

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

Prof. Ahmed Eltawil elected as Senior Member of the National Academy of Inventors (NAI)

1 min read ·
Prof. Ahmed M. Eltawil has been recently elected a Senior Member of the National Academy of Inventors (NAI). His cutting-edge research, numerous patents and innovation on the field of wireless communications have been decisive to receive this honor. The NAI Senior Member program is an exclusive award distinction created to showcase the innovative ecosystems at NAI Member Institutions such as KAUST. In words of Paul R. Sanberg, President of NAI: Please congratulate these new Senior Members who are all innovative rising stars in their disciplines. They now join the NAI community of scholarly

Best Poster Award -3rd place by Dr. Asmaa Abdallah

1 min read ·
Last week our postdoc Dr. Asmaa Abdallah presented her work on Deep Learning Based Frequency-Selective Channel Estimation for Hybrid mmWave MIMO Systems in the Research conference: Extreme Bandwidth Communication: From mmWave, THz to Optical Bands. Her work is about channel estimations for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. These systems typically employ hybrid mixed signal processing to avoid expensive hardware and high training overheads. However, the lack of fully digital beamforming at mmWave bands imposes additional challenges in channel

RIS-Assisted Full-Duplex Relay Systems

1 min read ·
The latest work on RIS-Aided full duplex relay communications has been accepted for publication in IEEE Systems Journal. Reconfigurable intelligent surfaces (RIS) have recently been presented as a revolutionary technique and recognized as one of the candidates for beyond fifth-generation wireless networks. The RIS technology becomes especially attractive due to its capability to operate in a full-duplex (FD) mode, which is able to ideally double the half-duplex radio spectrum efficiency. Thus, mixing active FD relaying techniques with passive RIS platforms can be an ideal solution to improve

Ahmed Eltawil

Professor Eltawil is an expert in wireless communication system design with an established history of university-industry collaboration. He continues to act as an adviser in developing wireless systems for leading international companies.
<> body area networks (4)

Qi Huang

Education and early career: Qi (Dave) Huang received his Bachelor of Engineering degree in Southwest Petroleum University of China. He is now a master student in Communication and Computing Systems Lab, CEMSE, King Abdullah University of Science and Technology. Before joining KUAST, he was a visiting student of Communication and Computing Systems Lab from June 2021 to August 2021. Research interests: Circuit and system design of body area network, body channel characterization Awards and Distinctions Undergraduate national scholarship of China; Excellent graduate of Sichuan Province; Second

David Lago Cachón

Postdoctoral Research Fellow, Communication and Computing Systems Lab
Biography David Lago Cachón received his B.Sc. in Physics, specialization in Electronic, Automatism and Signal Processing in 2008 and his M.Sc. in Science and Technology of Materials in 2010, both from University of Oviedo. He obtained his PhD in Applied Physics in 2016, with qualification Excellent cum laude and proposed to Extraordinary doctorate award. At the same time, he has been highly implicated in Science Communication, given talks in schools, pubs and even a TEDx. Also, he has been interviewed and consulted by local and regional media. With some friends he created an astronomy club

Abeer AlAmoudi

Education & Early Career Abeer Alamoudi received the B.Sc. degree in electrical and computer engineering from Effat University, Jeddah, Saudi Arabia, in 2019. In 2021, she received the M.Sc. degree in electrical and computer engineering from King Abdullah University of Science and Technology (KAUST), where she is currently pursuing the Ph.D. degree with the Communications and Computing Systems Laboratory. Research Interests Abeer Alamoudi's research orbit around Human Body communications (HBC) and Internet of Bodies (IoB). Mainly, she is focused on establishing self-sustainable IoB sensor

Abdelhay Ali

Postdoctoral Research Fellow, Electrical and Computer Engineering
<> Digital signal processing (4)

Ahsan Mehmood

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

Mohammad F. Hashem

Asmaa Abdallah

Postdoctoral Research Fellow, Electrical and Computer Engineering
Asmaa Abdallah r eceived the B.S. (with High Distinction) and M.S degree in computer and communications engineering from Rafik Hariri University (RHU), Lebanon, in 2013 and 2015, respectively. In 2020, she received the Ph.D. degree in electrical and computer engineering at the American University of Beirut (AUB), Beirut, Lebanon. Ms. Abdallah was the recipient of the Academic Excellence Award at RHU in 2013 for ranking first on the graduating class. She also received a scholarship from the Lebanese National Counsel for Scientific Research (CNRS-L/AUB) to support her doctoral studies. She is

Ahmed Hussain

Ahmed Hussain, (Member, IEEE) received his B.E. degree in Avionics Engineering from NUST University, Islamabad, Pakistan, in 2014 and his M.S. in Avionics Engineering from Aerospace and Aviation Campus, Kamra, Pakistan. Currently, he is pursuing a PhD degree at KAUST, Thuwal, KSA. His research interests include deep learning-enabled near-field communication, digital array signal processing, and wireless communication.
<> AI (3) <> IoT (3) <> MATLAB (3) <> NOMA (3)

CCSL LATEST PAPER

1 min read ·
Our paper UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation has been accepted for publication in Transactions on Cognitive Communications and Networking. We describe how the deployment of an unmanned aerial vehicle (UAV) can be used as a relay that fairly serves many secondary users in a hot-spot region. The cooperative and cognitive non-orthogonal multiple access technologies are an inherent remedy to achieve high spectral efficiency at large-scale networks. Moreover, considering the expeditious 3D deployment capabilities of UAVs, their use as

Sultangali Arzykulov

Postdoctoral Research Fellow, Electrical and Computer Engineering
Sultangali Arzykulov(Member, IEEE) received the B.Sc. degree (Hons.) in radio engineering, electronics and telecommunications from Kazakh National Research Technical University after K. I. Satpayev, Almaty, Kazakhstan, in June 2010, the M.Sc. degree in communication engineering from The University of Manchester, Manchester, U.K., in 2013, and the Ph.D. degree in science, engineering and technology from Nazarbayev University, Nur-Sultan, Kazakhstan, in 2019. He is currently a Postdoctoral Scholar with the Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah

Abeer AlAmoudi

Education & Early Career Abeer Alamoudi received the B.Sc. degree in electrical and computer engineering from Effat University, Jeddah, Saudi Arabia, in 2019. In 2021, she received the M.Sc. degree in electrical and computer engineering from King Abdullah University of Science and Technology (KAUST), where she is currently pursuing the Ph.D. degree with the Communications and Computing Systems Laboratory. Research Interests Abeer Alamoudi's research orbit around Human Body communications (HBC) and Internet of Bodies (IoB). Mainly, she is focused on establishing self-sustainable IoB sensor
<> 5G networks (2) <> AI4Science (2) <> Biosensors (2) <> communications (2) <> cyber-physical systems (2)

Cross-Layer Security of Embedded and Cyber-Physical Systems

Prof. Mohammad Alfaruque, University of California, Irvine, USA.

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B2 5220

Abstract Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computation and physical components . Embedded systems comprising of hardware and software systems are the major enabling technology for these cyber-physical systems. Today, CPSs can be found in security-sensitive areas such as aerospace, automotive, energy, healthcare, manufacturing transportation, entertainment, and consumer appliances. Compared to the traditional information processing systems, due to the tight interactions between cyber and physical components

Model-based Design of Cyber-physical Systems with Learning Components

Prof. Panagiotis Katsaros, Aristotle University of Thessaloniki

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B2 5220

Abstract Cyber-physical system design involves heterogeneous components for sensing, control, actuation, networking and relies on models for the system’s physical dynamics, and all interactions with its environment. Since safety and security are critical, model-based engineering methods are often used to increase the confidence and guide the validation testing of the system under design. An abundant of results from modern system theory (discrete, continuous and hybrid) provides the foundations for modeling, simulation, testing and formal verification. Mature tools and languages offer advanced
<> electrical engineering (2) <> embedded systems (2) <> Generative AI and LLMs (2) <> healthcare (2) <> In-memory computing (2) <> interference management (2) <> Localization (2) <> Machine learning applications for wireless communication systems (2) <> NAI (2) <> Network Design (2) <> Programming language (2) <> reconfigurable computing (2) <> wireless sensors networks (2) <> 5G and beyond (1) <> 6g wireless systems (1) <> Action Recognition (1) <> Action understanding (1) <> AI for healthcare (1) <> applied mathematics (1) <> Applied Partial Differential Equations (1) <> autonomous driving (1) <> Autonomous system (1) <> beamforming (1) <> biomechanics (1) <> Biomedical Signal Processing (1) <> bioscience (1) <> biotechnology (1) <> BLE communication (1) <> brain-inspired computation (1) <> Cellular Networks (1) <> Channel modeling (1) <> circuit design (1) <> cloud- and fog-radio access networks (1) <> clustering algorithms (1) <> CMOS integrated circuits (1) <> Cognitive radio network (1) <> cognitive radio systems (1) <> communication (1) <> communication networks (1) <> communication systems (1) <> Compressed Sensing Approach (1) <> computation (1) <> computational methods (1) <> Computer architecture (1) <> computer networks (1) <> Continual Learning (1) <> Cooperative networks (1) <> cross-layer optimization (1) <> cybersecurity (1) <> data analysis (1) <> Data Analyst (1) <> data assimilation (1) <> Deep generative models (1) <> development (1) <> Digital Communications (1) <> Digital Systems Design (1) <> distributed computing (1) <> Dynamical Systems (1) <> Electron Transport (1) <> Embedded systems. (1) <> energy efficiency (1) <> energy harvesting (1) <> Energy Harvesting Wireless Networks (1) <> fluid dynamics (1) <> free boundary problems (1) <> FSO systems (1) <> Green communications (1) <> GSM (1) <> haps (1) <> Hardware (1) <> hardware security (1) <> health effects (1) <> innovation (1) <> Internet of Bodies (1) <> intrusion detection (1) <> inventor (1) <> Liquid Crystals (1) <> living systems (1) <> low power digital circuit (1) <> magnetic nanowires (1) <> magnetism (1) <> material based gas sensing (1) <> Mathematical modeling (1)