Topics

<> machine learning (48)

David Gomez-Cabrero

Associate Professor, Bioscience
Professor Cabrero's research focuses on developing statistics and machine learning tools for understanding biological systems that address health-related applications, advance biomedical research and enhance our understanding of the molecular mechanisms of diseases with the potential to uncover novel therapeutic approaches.

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).

Random Matrix Theory: Selected Applications from Statistical Signal Processing and Machine Learning

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B1 L4 R4214

Random matrix theory is an outstanding mathematical tool that has demonstrated its usefulness in many areas ranging from wireless communication to finance and economics. The main motivation behind its use comes from the fundamental role that random matrices play in modeling unknown and unpredictable physical quantities. In many situations, meaningful metrics expressed as scalar functionals of these random matrices arise naturally. Along this line, the present work consists in leveraging tools from random matrix theory in an attempt to answer fundamental questions related to applications from statistical signal processing and machine learning.

Ph. D. Student Khalil Elkhalil nominated finalist for the Best Student Paper Award in the IEEE MLSP Conference

1 min read ·
Fast-placing Machine Learning (ML) is continuously in need of new algorithms, but testing their effectiveness is utterly time-consuming. "Asymptotic Performance Of Regularized Quadratic Discriminant Analysis Based Classifiers," a new paper presented by CEMSE Ph.D. Student Khalil Elkhalil puts ML on the fast gear and a finalist for the Best Student Paper Award in the IEEE MLSP Conference held last September in Roppongi, Tokyo, Japan.

Saudi Summer Internship (SSI) Poster Competition Winners

1 min read ·
Rawan Al Ghamdi, Abdulwahab Felemban and Abdullah Zayat were interns this summer as part of the Saudi Summer Internship (SSI) Program. This is a program involving undergraduates from various universities in the Kingdom and this year hosted 43 students. Abdulwahab and Abdullah worked on enhancing ultrasonic indoor localization and in particular using machine learning to classify arriving signals between line-of-sight and multi-path. Abdulwahab and Abdullah won the second place in the poster competition that took place at the end of the SSI program. Rawan Al-Ghamdi was an intern this summer as

ISL Student Khalil ElKhalil does internship at Duke University

1 min read ·
ISL PhD student Khalil ElKhalil was a visiting Duke university from September 2018 to March 2019. Khalil was working with Vahid Tarokh on topics related to random matrix theory, machine learning and statistical finance.

Shahzad Gishkori

Postdoctoral Research Fellow (former), Information Science Lab
Postdoctoral Research Fellow, Electrical and Computer Engineering , King Abdullah University of Science and Technology.

Ruslan Zhagypar

MS/PhD Student, Electrical and Computer Engineering , King Abdullah University of Science and Technology

Reema Alnafisi

M.S. student, advised by Professor Tareq Al-Naffouri under the Information System Lab (ISL). at King Abdullah University of Science and Technology (KAUST)

Raphael Bridi

Ph.D. Student, Electrical and Computer Engineering ,King Abdullah University of Science and Technology (KAUST).

Mohammed Hussain AlSharif

Ph.D. Student (former), Electrical and Computer Engineering
Ph.D. Degree, Electrical and Computer Engineering ,King Abdullah University of Science and Technology, KAUST,
Mostafa Emara

Mostafa Mohamed Lotfy Emara

Postdoctoral Research Fellow (former), Electrical and Computer Engineering
PhD Student, Electrical and Computer Engineering at KAUST (King Abdullah University of Science and Technology)

Mudassir Masood

Ph.D. degree in electrical engineering from the King Abdullah University of Science and Technology (KAUST). ,Assistant Professor, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.

Mohammed Aasim Shaikh

MS Degree ,Electrical and Computer Engineering ,King Abdullah University of Science and Technology (KAUST) .

Mohammed Ali Abugurain

Visiting student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Mohammad Tamim Alkhodary

Ph.D. degree in electrical engineering from the King Fahd University of Petroleum and Minerals. Postdoctoral Fellow at École de technologie supérieure, Montreal, QC, Canada

Mohamed A Suliman

Visiting Scholar (former), Information Science Lab
MS Degree at King Abdullah University of Science and Technology, Ph.D. candidate, Imperial College London..

Maria Sara Nour SADOUN

Visiting Student (former), Information Science Lab
Research internship in King Abdullah University of Science and Technology within EMANG as a Visiting Student on the topic of Epileptic Seizure Detection using Electroencephalography (EEG).

Mamdouh AlJoud

Intern (former), Information Science Lab
Research Intern at King Abdullah University of Science and Technology (KAUS)

Lama Burhan Niyazi

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)

Khaqan Majeed

Intern at King Abdullah University of Science and Technology (KAUST), PhD candidate at McMaster University.

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering
PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.

Jing Cao

Visiting Student (former), Electrical and Computer Engineering
Visiting student of MEWC 2024 in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Ismail Ben Atitallah

Ismail Ben Atitallah was a ​MS Thesis Student at King Abdullah University of Science and Technology (KAUST).

Israel Jesus Santos Filho

MS Student, Electrical and Computer Engineering ,work under the supervision of Professor Tareq Al-Naffouri at King Abdullah University of Science and Technology.

Ibrahim Alshehri

intern at King Abdullah University of Science and Technology(KAUST)

Hajer Abbas

Visiting Student (former), Electrical and Computer Engineering
Visiting Student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Ebrahim Al-Safadi

Visiting B.S. Student, Information Science Lab
Internship at King Abdullah University of Science and Technology (KAUST).

Basit Olakunle Alawode

Visiting student at King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Asma Abdullah Sarouji

Visiting Student (former), Electrical and Computer Engineering
Research intern at King Abdullah University of Science and Technology (KAUST) under the supervision of Prof.Tareq Al-Naffouri on health project that has a significant impact on people’s lives.

Alam Zaib

Research Intern at King Abdullah University of Science and Technology (KAUST) ,Assistant Professor / COMSATS institute of information technology, Abbottabad.

Ahmed Foud Ali Mehdi AlMehdhar

Visiting Student (former), Electrical and Computer Engineering
Visiting Student at King Abdullah University of Science and Technology (KAUST).

Ahmed Douik

Visiting B.S. Student, Computer, Electrical and Mathematical Sciences and Engineering , Quantitative Researcher at Chicago Trading Company PhD candidate at California Institute of Technology

Abdulwahab Felemban

Ph.D. Student, Electrical and Computer Engineering CEMSE, King Abdullah University of Science and Technology (KAUST),completed MSc under the supervision of Prof. Tareq Al-Naffouri.

Abdulrahman Alanazi

Visiting Scholar (former), Information Science Lab
Visiting Scholar, Information Science Lab at Computer, Electrical and Mathematical Science and Engineering (CEMSE) , Assistant Professor at King Saud University

Abdulmajeed Aljaloud

Visiting Student, Computer Science
Visiting Student Research Program ,Research Intern at King Abdullah University of Science and Technology (KAUST)

Abdullah Al-Nafisah

Master student at the Information Science Lab (ISL), in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Abdullah Ahmed Zayat

Visiting Student Research Program under the supervision of Professor Tareq Al-Naffouri ,Research Intern at King Abdullah University of Science and Technology (KAUST)

Abdallah Al-Moubayed

MS Degree , Computer, Electrical and Mathematical Sciences and Engineering ,King Abdullah University of Science and Technology (KAUST) .Now Abdallah is Visiting Student to (KAUST)
<> Signal processing (37)
Sustainable solutions in water conservation

KAUST-Engineered tool drives sustainable solutions in water conservation

3 min read ·
KAUST’s startup EcoStream cuts water waste by 50% while promoting affordability and sustainability, winning the 2024 StartSmart prize.

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.

Signal Processing and Optimization Techniques for High Accuracy Indoor Localization, Tracking, and Attitude Determination

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B1 L3 R3119

High-accuracy indoor localization and tracking systems are essential for many modern applications and technologies. However, accurate location estimation of moving targets is challenging. This thesis addresses the challenges in indoor localization and tracking systems and proposes several solutions. A novel signal design, which we named Differential Zadoff-Chu, allows us to develop algorithms that accurately estimate the distances of static and moving targets even under random Doppler shifts. The results show that the proposed algorithms outperform the state-of-the-art in terms of both accuracy and complexity.

Yao GE

Visiting Scholar with the Department of Computer, Electrical and Mathematical Science and Engineering, King Abdullah University of Science and Technology (KAUST)

Vijith Varma Kotte

PhD student at the Information System Lab (ISL), in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Shahzad Gishkori

Postdoctoral Research Fellow (former), Information Science Lab
Postdoctoral Research Fellow, Electrical and Computer Engineering , King Abdullah University of Science and Technology.

Rose Nasser Alaslani

MS Student, Electrical and Computer Engineering King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq Al-Naffouri.

Reema Alnafisi

M.S. student, advised by Professor Tareq Al-Naffouri under the Information System Lab (ISL). at King Abdullah University of Science and Technology (KAUST)

Muhammad Saqib Sohail

Intern at King Abdullah University of Science and Technology (KAUST),

Mohammed Yasser Hosny Elrashidy

Remote internship program provided by KAUST under the supervision of Professor Tareq AlNaffouri.

Mohammad Tamim Alkhodary

Ph.D. degree in electrical engineering from the King Fahd University of Petroleum and Minerals. Postdoctoral Fellow at École de technologie supérieure, Montreal, QC, Canada

Mohamed A Suliman

Visiting Scholar (former), Information Science Lab
MS Degree at King Abdullah University of Science and Technology, Ph.D. candidate, Imperial College London..

Maria Sara Nour SADOUN

Visiting Student (former), Information Science Lab
Research internship in King Abdullah University of Science and Technology within EMANG as a Visiting Student on the topic of Epileptic Seizure Detection using Electroencephalography (EEG).

Krishnendu S Tharakan

Visiting Student (former), Electrical and Computer Engineering
Visiting student at King Abdullah University of Science and Technology (KAUST).

Khaled Alhujaili

Visiting Scholar, Information Science Lab
Exchange Student , Electrical Engineering at KAUST (King Abdullah University of Science and Technology)KAUST

Jing Cao

Visiting Student (former), Electrical and Computer Engineering
Visiting student of MEWC 2024 in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Ismail Ben Atitallah

Ismail Ben Atitallah was a ​MS Thesis Student at King Abdullah University of Science and Technology (KAUST).

Ibrahim Alshehri

intern at King Abdullah University of Science and Technology(KAUST)

Ibrahim Almuqbil

Internship in King Abdullah University of Science and Technology (KAUST)

Heba Almorad

Visiting student in the Communication Theory Lab (CTL) and the Information System Lab (ISL), at King Abdullah University of Science and Technology,
Hakim

Hakim Jemaa

KAUST is an environment that promotes competitivity and encourages personal growth in a rich multicultural community.

Hadi Sarieddeen

postdoctoral fellow in the Communication Theory Lab (CTL) and the Information Science Lab (ISL) at KAUST, working under the supervision of Distinguished Prof. Mohamed-Slim Alouini and Prof. Tareq Al-Naffouri.

Furrukh Sana

Research Fellow, Harvard Medical School, September 2018 - present. Assistant Professor, National University, Pakistan, Ph.D. Degree King Abdullah University of Science and Technology,

Damilola Sadiq Owodunni

Intern at King Abdullah University of Science and Technology (KAUST),

Bartłomiej Błeszyński

Visiting B.S. Student (former), Electrical and Computer Engineering
Education BSC Electronic Engineering (2014 - 2018), Warsaw University of Technology, Poland Research Interest Signal processing, analog circuits, RF engineering

Basit Olakunle Alawode

Visiting student at King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Asma Abdullah Sarouji

Visiting Student (former), Electrical and Computer Engineering
Research intern at King Abdullah University of Science and Technology (KAUST) under the supervision of Prof.Tareq Al-Naffouri on health project that has a significant impact on people’s lives.

Anum Ali

Intern (former), Information Science Lab
Research Engineer KAUST (King Abdullah University of Science and Technology).Senior engineer at Samsung Research America.

Alice Faisal

Visiting Student (former), Electrical and Computer Engineering
Visiting Student at King Abdullah University of Science and Technology (KAUST), chair of IEEE women in engineering affinity group at Effat University student branch.

Alam Zaib

Research Intern at King Abdullah University of Science and Technology (KAUST) ,Assistant Professor / COMSATS institute of information technology, Abbottabad.

Ala Ahmad Dahman

Visiting Student at King Abdullah University of Science and Technology (KAUST), Project Manager - Saudi Business Machines Ltd.

Albaraa Omar Alrehaili

Visiting Student (former), Electrical and Computer Engineering
Intern student in the Electrical Engineering Department, King Abdullah University of Science and Technology (KAUST).

Ahmed Mohammed Magbool

M.Sc. Degree in Electrical Engineering, King Abdullah University of Science and Technology (KAUST)

Abdullah Ahmed Zayat

Visiting Student Research Program under the supervision of Professor Tareq Al-Naffouri ,Research Intern at King Abdullah University of Science and Technology (KAUST)
<> IoT (21)
KAUST-CEMSE-ECE-Omar-Khalifa-Winner-Of-Non-Terrestrial-Networks-for-6G-(NTNYS'24

KAUST ECE students achieve high honors in Competition on Non-Terrestrial Networks for 6G (NTNYS'24)

4 min read ·
KAUST Ph.D. candidate Omar Khalifa earned an impressive second place in the global Competition on Non-Terrestrial Networks for 6G (NTNYS'24). The IEEE Future Networks Initiative organized the competition as part of the "Connecting the World from the Skies Global Forum," which took place last November in Riyadh. Second place, and a prize of $10,000, was awarded to Khalifa based on his work titled "Supplying Data for Digital Twins in Green Smart Cities: A Non-Invasive NTN-IoT Approach." The international forum, which focused on the theme “Shaping the Future of Converged Connectivity,” was hosted
Sustainable solutions in water conservation

KAUST-Engineered tool drives sustainable solutions in water conservation

3 min read ·
KAUST’s startup EcoStream cuts water waste by 50% while promoting affordability and sustainability, winning the 2024 StartSmart prize.
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).

ISL Student Osama Bushnaq does an Delft Internship

1 min read ·

IoT

Summary of Delft internship : Advanced sensor networks are needed in order to meet the increasing needs of IoT applications, such as automated surveillance, environmental monitoring, smart cities, and so on. Optimal sensor placement, i.e., to select the best subset of sensing locations out of a large set of available locations, keeping in mind the network infrastructure and the inference task, forms an important sensor network design task. In this internship, the offline sensor selection for source estimation is improved by considering different practical issues such as observation accuracy

ISL PhD Student Osama Bushnaq does Internship at UBC

1 min read ·

UAV IoT

ISL PhD Student Osama Bushnaq did an internship at the University of British Coloumbia in Canada. His internship was focused on UAV-IoT. Every year, an average of 2.5 million hectares (ha) is burnt only in Canadian forests, which costs around 500 million to 1 billion Canadian dollars per year. The current forest fire detection methods such as satellite imaging and infrared cameras are not reliable. In order to detect forest fires before getting out of control, a new fire detection method based on Unmanned Aerial Vehicle Internet of Things (UAV-IoT) network was studied during this internship. A

Drones deliver on internet connectivity

1 min read ·
Hovering airborne vehicles could connect smart sensors to the internet of things.

To Boldly Go Where No Sensor Has Gone Before: The Movement to Place IoT in Radical New Spaces

1 min read ·
The rapid growth of the world’s population demands more natural resources, food, and space. World renowned physicist Stephan Hawking has argued that soon we will require another world to live on because we are running out of space and natural resources. This ever-increasing demand for resources and space needs novel technologies to explore natural resources, produce more crops, and explore outer space. Internet of X-things (X-IoT) is an enabling technology to overcome all of the above issues. The framework of X-IoT consists of three major categories as shown in Figure 1. The first one is the

Professor Tareq Al-Naffouri Colloquium

1 min read ·
On March 12th, Professor Tareq Al-Naffouri delivered an online public colloquium titled, "Sensing, Localization, and Communications to Enable Future IoT Systems". The abstract of the article can be found here

KAUST-KFUPM collaboration wins top honors at STC AIoT Hackathon

1 min read ·
A team composed of KAUST and King Fahd University of Petroleum and Minerals (KFUPM) students was one of three winning teams of this year’s Saudi Telecom Company (STC) AIoT (AI & IoT) Hackathon. The KAUST entry, AgriDoctor, a proposed autonomous, sustainable, intelligent agriculture system, was a standout pick for the competition judges from a pool of 110 project submissions and 350 participants.

Raphael Bridi

Ph.D. Student, Electrical and Computer Engineering ,King Abdullah University of Science and Technology (KAUST).

Osama Bushnaq

Ph.D. degree in electrical engineering at the King Abdullah University of Science and Technology (KAUST)

Omar Khalifa

PhD student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST) ,working under the supervision of Prof. Tareq Al-Naffouri.

Nour Kouzayha

Postdoctoral Research Fellow (former), Electrical and Computer Engineering
Research Scientist at King Abdullah University of Science and Technology.

Mohammed Abdullah Hussaini

Senior Embedded System Engineer at KAUST (King Abdullah University of Science and Technology)

Mohammed Ahmed

Postdoctoral Research Fellow (former), Information Science Lab
post-doctoral fellow at L'École de technologie supérieure (ETS) de Montréal (Mtl) where he started on February 2014. he works with Prof. Georges Kaddoum.

Mohamed Saadeldin

Postdoctoral Research Fellow, Sensors
Postdoctoral Research Fellow, Sensors Lab at King Abdullah University of Science and Technology (KAUST), Assistant Professor, University College Dublin .

Mamdouh AlJoud

Intern (former), Information Science Lab
Research Intern at King Abdullah University of Science and Technology (KAUS)

Asma Abdullah Sarouji

Visiting Student (former), Electrical and Computer Engineering
Research intern at King Abdullah University of Science and Technology (KAUST) under the supervision of Prof.Tareq Al-Naffouri on health project that has a significant impact on people’s lives.

Anas Saleh Mohammed

Visiting Student (former), Electrical and Computer Engineering
Visiting student at King Abdullah University of Science and Technology (KAUST).

Abdallah Al-Moubayed

MS Degree , Computer, Electrical and Mathematical Sciences and Engineering ,King Abdullah University of Science and Technology (KAUST) .Now Abdallah is Visiting Student to (KAUST)
<> artificial intelligence (14)
Najmeddine Dhieb

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)

KAUST research group win inaugural MCIT Digital Innovation Award

1 min read ·
A team of KAUST researchers have won first place in the Digital Research track at the inaugural Digital Innovation Awards held on Sunday, April 25, 2021. Launched by the Ministry of Communications and Information Technology (MCIT), the awards aim to “enhance the culture of innovation and entrepreneurship in digital research and development” in Saudi Arabia.

KAUST-KFUPM collaboration wins top honors at STC AIoT Hackathon

1 min read ·
A team composed of KAUST and King Fahd University of Petroleum and Minerals (KFUPM) students was one of three winning teams of this year’s Saudi Telecom Company (STC) AIoT (AI & IoT) Hackathon. The KAUST entry, AgriDoctor, a proposed autonomous, sustainable, intelligent agriculture system, was a standout pick for the competition judges from a pool of 110 project submissions and 350 participants.

Exciting News from LEAP2024!

1 min read ·
Exciting News from LEAP2024! We are thrilled to announce that our two innovative startup companies, Qawam and MOBiSENSE, participated in LEAP2024, showcasing their cutting-edge products and services. Qawam, known for its groundbreaking posture correction solutions, has now developed an app that utilizes sensors from Apple Airpods. This app eliminates the need for a separate clip-on device, providing consumers with a more convenient and seamless posture correction experience. MOBiSENSE specializes in extracting valuable insights for mobile network operators (MNOs) and communications services

Soumia Si Youcef

Visiting Student (former), Electrical and Computer Engineering
Visiting student at, King Abdullah University of Science and Technology (KAUST).

Mohammed Abdullah Hussaini

Senior Embedded System Engineer at KAUST (King Abdullah University of Science and Technology)

Maria Sara Nour SADOUN

Visiting Student (former), Information Science Lab
Research internship in King Abdullah University of Science and Technology within EMANG as a Visiting Student on the topic of Epileptic Seizure Detection using Electroencephalography (EEG).

Ahmed Ishak Patwa

Visiting student at King Abdullah University of Science and Technology, Systems Engineer at Qawam for Research and Studies, Jeddah, Saudi Arabia.

Abdulrahman Katranji

Visiting Student (former), Electrical and Computer Engineering
Visiting student at the Information Science Lab (ISL) at King Abdullah University of Science and Technology.

Abdulmajeed Aljaloud

Visiting Student, Computer Science
Visiting Student Research Program ,Research Intern at King Abdullah University of Science and Technology (KAUST)
<> Wireless communication (12)

Yao GE

Visiting Scholar with the Department of Computer, Electrical and Mathematical Science and Engineering, King Abdullah University of Science and Technology (KAUST)

Waqas Aman

Visiting Student (former), Electrical and Computer Engineering
Remote Internship at King Abdullah University of Science and Technology (KAUST).

Rose Nasser Alaslani

MS Student, Electrical and Computer Engineering King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq Al-Naffouri.

Muzammil Behzad

Visiting Researcher (former), Information Science Lab
Visiting researcher at King Abdullah University of Science and Technology. Currently,

Mazen Mohamed Aboubakrelseddik Abouelezz

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

Jing Cao

Visiting Student (former), Electrical and Computer Engineering
Visiting student of MEWC 2024 in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Jie Ma

MS/PhD student Electrical and Computer Engineering under the supervision of Prof. Tareq Al-Naffouri at King Abdullah University of Science and Technology (KAUST),
Ali Hanif

Ali Hanif

Ali Hanif is currently a PhD student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Alice Faisal

Visiting Student (former), Electrical and Computer Engineering
Visiting Student at King Abdullah University of Science and Technology (KAUST), chair of IEEE women in engineering affinity group at Effat University student branch.

Abdulwahab Felemban

Ph.D. Student, Electrical and Computer Engineering CEMSE, King Abdullah University of Science and Technology (KAUST),completed MSc under the supervision of Prof. Tareq Al-Naffouri.

Abdullah Ahmed Zayat

Visiting Student Research Program under the supervision of Professor Tareq Al-Naffouri ,Research Intern at King Abdullah University of Science and Technology (KAUST)

Abdallah Al-Moubayed

MS Degree , Computer, Electrical and Mathematical Sciences and Engineering ,King Abdullah University of Science and Technology (KAUST) .Now Abdallah is Visiting Student to (KAUST)
<> Wireless Communications (11)

Chaabane Mankai

Surrounded by bright minds and groundbreaking research, KAUST is a great place to learn and grow.
Tareq Al-Naffouri

Professor Tareq Al-Naffouri named Institute of Electrical and Electronics Engineers (IEEE) Fellow

2 min read ·
KAUST Professor Tareq Al-Naffouri has been named an IEEE Fellow, the organization’s highest distinction, in recognition of his contributions to adaptive signal processing and its applications in wireless communications.

Saleh AlJazzar

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

Measurement Selection: A Random Matrix Theory Approach

1 min read ·
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

Wireless Monitoring of Respiration and Heart Rates

1 min read ·
ISL Visiting Students Safwan Ibrahim and Abdullah Zayat worked on a wireless monitoring of respiration and heart rates project. This project introduced a wireless method to detect chest movement due to respiration and heartbeats. Universal Software Radio Peripheral (NI USRP-2922) was used to transmit and receive the signals, while two can-antennas were handmade and used as a transmitter and a receiver. The project was able to measure the respiration and heart rates with an accuracy of 95%, compared to the conventional wired monitoring devices.

Nasir Saeed

Postdoctoral Research Fellow, Electrical and Computer Engineering
Postdoctoral Fellow at Communication Theory Lab, King Abdullah University of Science and Technology (KAUST) working with Professor Mohamed-Slim Alouini and Professor Tareq Y. Al-naffouri ,Associate Professor with the Department of Electrical and Communication Engineering, United Arab Emirates University (UAEU)

Mohammed Ahmed

Postdoctoral Research Fellow (former), Information Science Lab
post-doctoral fellow at L'École de technologie supérieure (ETS) de Montréal (Mtl) where he started on February 2014. he works with Prof. Georges Kaddoum.
Hakim

Hakim Jemaa

KAUST is an environment that promotes competitivity and encourages personal growth in a rich multicultural community.

Hadi Sarieddeen

postdoctoral fellow in the Communication Theory Lab (CTL) and the Information Science Lab (ISL) at KAUST, working under the supervision of Distinguished Prof. Mohamed-Slim Alouini and Prof. Tareq Al-Naffouri.

Damilola Sadiq Owodunni

Intern at King Abdullah University of Science and Technology (KAUST),

Ayed M. Alrashdi

Ph.D. Student (former), Electrical and Computer Engineering
Ph.D. degree in electrical and computer engineering from the King Abdullah University of Science and Technology (KAUST) working with Professor Tareq Al-Naffouri in the Information System Lab (ISL),Assistant Professor with the Electrical Engineering Department at University of Ha'il
<> Deep learning (10)

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)

Israel Jesus Santos Filho

MS Student, Electrical and Computer Engineering ,work under the supervision of Professor Tareq Al-Naffouri at King Abdullah University of Science and Technology.

Anum Ali

Intern (former), Information Science Lab
Research Engineer KAUST (King Abdullah University of Science and Technology).Senior engineer at Samsung Research America.
<> electrical engineering (10)

Signal noise annoys no more

1 min read ·
Identifying noise in communication signals helps to filter out glitches and improve transmission quality.

Wireless devices tune-in to cloud power

1 min read ·
Next-generation mobile networks can use cloud computing algorithms to manage the increasingly high data demands of users.

The crest of waveforms for next-gen radar

1 min read ·
A new method for shaping the waveform generated by multi-antenna radar systems is inexpensive and practical.

Marine exploration sensing with light and sound

1 min read ·
Unveiling new strategies to improve future wireless underwater sensing networks for marine research and communication.

Lighting the way to the underwater Internet of things

1 min read ·
An optical system for monitoring underwater sensor positions could enable large networks of devices to be deployed for ocean measurements.

Drones deliver on internet connectivity

1 min read ·
Hovering airborne vehicles could connect smart sensors to the internet of things.

Internet of underground things to reveal buried vistas

1 min read ·
Pinpoint mesh of smart underground objects could give real-time 3D readout of fossil fuel reserves.

A clique away from more efficient networks

1 min read ·
An old branch of mathematics finds a fertile new field of application.

To Boldly Go Where No Sensor Has Gone Before: The Movement to Place IoT in Radical New Spaces

1 min read ·
The rapid growth of the world’s population demands more natural resources, food, and space. World renowned physicist Stephan Hawking has argued that soon we will require another world to live on because we are running out of space and natural resources. This ever-increasing demand for resources and space needs novel technologies to explore natural resources, produce more crops, and explore outer space. Internet of X-things (X-IoT) is an enabling technology to overcome all of the above issues. The framework of X-IoT consists of three major categories as shown in Figure 1. The first one is the

Ibrahim Almuqbil

Internship in King Abdullah University of Science and Technology (KAUST)
<> Random Matrix Theory (10)

Random Matrix Theory: Selected Applications from Statistical Signal Processing and Machine Learning

-

B1 L4 R4214

Random matrix theory is an outstanding mathematical tool that has demonstrated its usefulness in many areas ranging from wireless communication to finance and economics. The main motivation behind its use comes from the fundamental role that random matrices play in modeling unknown and unpredictable physical quantities. In many situations, meaningful metrics expressed as scalar functionals of these random matrices arise naturally. Along this line, the present work consists in leveraging tools from random matrix theory in an attempt to answer fundamental questions related to applications from statistical signal processing and machine learning.

Measurement Selection: A Random Matrix Theory Approach

1 min read ·
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

ISL Student Khalil ElKhalil does internship at Duke University

1 min read ·
ISL PhD student Khalil ElKhalil was a visiting Duke university from September 2018 to March 2019. Khalil was working with Vahid Tarokh on topics related to random matrix theory, machine learning and statistical finance.

Xiaoke Yang

Visiting Scholar, Information Science Lab
PhD candidate at King Abdullah University of Science and Technology. Visiting Scholar, Information Science Lab

Muath Mahdi

Postdoctoral Fellow with the Electrical Engineering Department, King Abdullah University of Science and Technology (KAUST)

Mohamed A Suliman

Visiting Scholar (former), Information Science Lab
MS Degree at King Abdullah University of Science and Technology, Ph.D. candidate, Imperial College London..

Mahmoud Hassan Ghazal

Visiting student at KAUST, under the supervision of Professor Tareq AlNaffouri ,PhD Student, Electrical and Computer Engineering ,King Abdullah University of Science and Technology

Lama Burhan Niyazi

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)

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering
PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.

Ismail Ben Atitallah

Ismail Ben Atitallah was a ​MS Thesis Student at King Abdullah University of Science and Technology (KAUST).
<> statistical signal processing (8)

PhD EE student Mudassir Masood from Prof. Tareq Al-Naffouri's group wins best poster award at ICCSPA'13

1 min read ·
Mudassir Masood, a Ph.D. student in Electrical Engineering (EE) at the CEMSE division, received the best poster award at the International Conference on Communications, Signal Processing, and Their Applications (ICCSPA), held 11-14 February 2013 in Sharjah, UAE.

Tareq Al-Naffouri

Professor Al-Naffouri's research focuses on designing and analyzing wireless communication systems, particularly spectrum sharing, cognitive radio, energy efficiency and security within the context of advanced technologies like 5G.

Syed Faraz Ahmed

Intern at King Abdullah University of Science and Technology (KAUST),

Osama Bushnaq

Ph.D. degree in electrical engineering at the King Abdullah University of Science and Technology (KAUST)

Mohammed Ahmed

Postdoctoral Research Fellow (former), Information Science Lab
post-doctoral fellow at L'École de technologie supérieure (ETS) de Montréal (Mtl) where he started on February 2014. he works with Prof. Georges Kaddoum.

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering
PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.

Ayed M. Alrashdi

Ph.D. Student (former), Electrical and Computer Engineering
Ph.D. degree in electrical and computer engineering from the King Abdullah University of Science and Technology (KAUST) working with Professor Tareq Al-Naffouri in the Information System Lab (ISL),Assistant Professor with the Electrical Engineering Department at University of Ha'il

Ahmed Abdul Quadeer

Research Intern at King Abdullah University of Science and Technology (KAUST), The Hong Kong University of Engineering and Technology
<> Stochastic Geometry (8)

Waqas Aman

Visiting Student (former), Electrical and Computer Engineering
Remote Internship at King Abdullah University of Science and Technology (KAUST).

Ruslan Zhagypar

MS/PhD Student, Electrical and Computer Engineering , King Abdullah University of Science and Technology

Rabe Arshad

Visiting student at King Abdullah University of Science and Technology. Currently, he is a Ph.D. candidate at the University of British Columbia, Canada.

Osama Bushnaq

Ph.D. degree in electrical engineering at the King Abdullah University of Science and Technology (KAUST)

Nour Kouzayha

Postdoctoral Research Fellow (former), Electrical and Computer Engineering
Research Scientist at King Abdullah University of Science and Technology.
Mostafa Emara

Mostafa Mohamed Lotfy Emara

Postdoctoral Research Fellow (former), Electrical and Computer Engineering
PhD Student, Electrical and Computer Engineering at KAUST (King Abdullah University of Science and Technology)

Laila Hesham Afify

Postdoctoral Research Fellow (former), Electrical and Computer Engineering
Postdoctoral Research Fellow Electrical and Computer Engineering (KAUST), Assistant Professor, School of Engineering and Applied Sciences, Nile University, Egypt

Ahmed Bader

Research Scientist, Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST). Managing Director in Insyab Wireless Limited, Dubai, United Arab Emirates.
<> wireless networks (8)

Tareq Al-Naffouri

Professor Al-Naffouri's research focuses on designing and analyzing wireless communication systems, particularly spectrum sharing, cognitive radio, energy efficiency and security within the context of advanced technologies like 5G.

Taha Bouchoucha

Taha Bouchoucha was a ​MS Thesis Student at King Abdullah University of Science and Technology (KAUST).

Soumia Si Youcef

Visiting Student (former), Electrical and Computer Engineering
Visiting student at, King Abdullah University of Science and Technology (KAUST).

Sameh Sorour

Postdoctoral Research Fellow (former), Communication Theory Lab
Postdoctoral Research Fellow at King Abdullah University of Science and Technology (KAUST),Assistant Professor at King Fahd University of Petroleum and Minerals (KFUPM) since September 2013.

Ruslan Zhagypar

MS/PhD Student, Electrical and Computer Engineering , King Abdullah University of Science and Technology
Mostafa Emara

Mostafa Mohamed Lotfy Emara

Postdoctoral Research Fellow (former), Electrical and Computer Engineering
PhD Student, Electrical and Computer Engineering at KAUST (King Abdullah University of Science and Technology)

Mohammed E. Eltayeb

Intern at King Abdullah University of Science and Technology (KAUST),

Bayan Aloqaybe

MS Degree, Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST)
<> AI (7)
Sustainable solutions in water conservation

KAUST-Engineered tool drives sustainable solutions in water conservation

3 min read ·
KAUST’s startup EcoStream cuts water waste by 50% while promoting affordability and sustainability, winning the 2024 StartSmart prize.

Aznaur Aliev

M.S. Student

Mhd. Emad Alolaby

Mohammed A Shukri

Technical Consultant at KAUST (King Abdullah University of Science and Technology).

Omar Khalifa

PhD student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST) ,working under the supervision of Prof. Tareq Al-Naffouri.

Hamzeh Abu Qamar

MS Student, Electrical, Electronics and Communications Engineering at King Abdullah University of Science and Technology (KAUST).

Albaraa Omar Alrehaili

Visiting Student (former), Electrical and Computer Engineering
Intern student in the Electrical Engineering Department, King Abdullah University of Science and Technology (KAUST).
<> communication (7)

Abdullatif Al-Rabah

MS Degree, Computer, Electrical and Mathematical Sciences and Engineering at King Abdullah University of Science and Technology (KAUST).

Somayah Shafa-amri

Visiting Student at King Abdullah University of Science and Technology (KAUST)

Reema Alnafisi

M.S. student, advised by Professor Tareq Al-Naffouri under the Information System Lab (ISL). at King Abdullah University of Science and Technology (KAUST)

Mohammed Hussain AlSharif

Ph.D. Student (former), Electrical and Computer Engineering
Ph.D. Degree, Electrical and Computer Engineering ,King Abdullah University of Science and Technology, KAUST,

Asma Abdullah Sarouji

Visiting Student (former), Electrical and Computer Engineering
Research intern at King Abdullah University of Science and Technology (KAUST) under the supervision of Prof.Tareq Al-Naffouri on health project that has a significant impact on people’s lives.

Ahmed Mohammed Magbool

M.Sc. Degree in Electrical Engineering, King Abdullah University of Science and Technology (KAUST)

Ahmed Abdul Quadeer

Research Intern at King Abdullah University of Science and Technology (KAUST), The Hong Kong University of Engineering and Technology
<> communications (7)

Lighting the way to the underwater Internet of things

1 min read ·
An optical system for monitoring underwater sensor positions could enable large networks of devices to be deployed for ocean measurements.

Drones deliver on internet connectivity

1 min read ·
Hovering airborne vehicles could connect smart sensors to the internet of things.

Internet of underground things to reveal buried vistas

1 min read ·
Pinpoint mesh of smart underground objects could give real-time 3D readout of fossil fuel reserves.

Tareq Al-Naffouri

Professor Al-Naffouri's research focuses on designing and analyzing wireless communication systems, particularly spectrum sharing, cognitive radio, energy efficiency and security within the context of advanced technologies like 5G.

Soumia Si Youcef

Visiting Student (former), Electrical and Computer Engineering
Visiting student at, King Abdullah University of Science and Technology (KAUST).

Alam Zaib

Research Intern at King Abdullah University of Science and Technology (KAUST) ,Assistant Professor / COMSATS institute of information technology, Abbottabad.

Ahmed Foud Ali Mehdi AlMehdhar

Visiting Student (former), Electrical and Computer Engineering
Visiting Student at King Abdullah University of Science and Technology (KAUST).
<> Computer Vision (7)

Abdelrahman Eldesokey

Postdoctoral Research Fellow
I am a Postdoctoral Fellow at KAUST, Saudi Arabia, specializing in Generative AI and conducting research on advanced topics in Generative and Large Language Models (LLMs). I bring over 11 years of combined academic and industrial experience in Computer Vision and Deep Learning across Sweden, Egypt, and Saudi Arabia.
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.

Hajer Abbas

Visiting Student (former), Electrical and Computer Engineering
Visiting Student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).
<> Indoor localization (7)

Signal Processing and Optimization Techniques for High Accuracy Indoor Localization, Tracking, and Attitude Determination

-

B1 L3 R3119

High-accuracy indoor localization and tracking systems are essential for many modern applications and technologies. However, accurate location estimation of moving targets is challenging. This thesis addresses the challenges in indoor localization and tracking systems and proposes several solutions. A novel signal design, which we named Differential Zadoff-Chu, allows us to develop algorithms that accurately estimate the distances of static and moving targets even under random Doppler shifts. The results show that the proposed algorithms outperform the state-of-the-art in terms of both accuracy and complexity.

Mohammed Al-Sharif Does Internship at California Institute of Technology

1 min read ·
Since February 2020, ISL student Mohammed Al-Sharif has been participating in an internship at the California Institute of Technology. He was working with renowned Professor Babak Hassibi at Caltech's Electrical Engineering department. The topic they are working on is indoor localization based on Riemannian optimization.

Sameh Sorour

Postdoctoral Research Fellow (former), Communication Theory Lab
Postdoctoral Research Fellow at King Abdullah University of Science and Technology (KAUST),Assistant Professor at King Fahd University of Petroleum and Minerals (KFUPM) since September 2013.

Safwan .H Ibrahim

Consultant-Technical Lead at KAUST (King Abdullah University of Science and Technology).

Reema Alnafisi

M.S. student, advised by Professor Tareq Al-Naffouri under the Information System Lab (ISL). at King Abdullah University of Science and Technology (KAUST)

Khaqan Majeed

Intern at King Abdullah University of Science and Technology (KAUST), PhD candidate at McMaster University.

Hui Chen

Ph.D. Student (former), Electrical and Computer Engineering
Ph.D. degree Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST) ,Currently a Ph.D. student working on localization & tracking and gesture recognition.
<> ISL Highlighted Publications (7)

Energy Conservation in Adaptive Filtering

1 min read ·
A. H. Sayed, Tareq Y. Al-Naffouri, and Vitor H. Nascimento, "Energy conservation in adaptive filtering", Nonlinear Signal and Image processing: Theory, Methods, and Applications, CRC Press, November 2003. Introduction: The study of the steady-state and transient performance of adaptive filters is a challenging task because of the nonlinear and stochastic nature of their update equations (e.g., References 1 to 4). The purpose of this chapter is to provide an overview of an energy-conservation approach to study the performance of adaptive filters in a unified manner.4 The approach is based on

On the Distribution of Indefinite Quadratic Forms in Gaussian Random Variables

1 min read ·
T. Y. Al-Naffouri and M. Moinuddin and N. Ajeeb and B. Hassibi and A. L. Moustakas, "On the Distribution of Indefinite Quadratic Forms in Gaussian Random Variables", IEEE Transactions on Communications. vol. 64 , pp. 153-165, Jan 2016. Abstract: In this work, we propose a unified approach to evaluating the CDF and PDF of indefinite quadratic forms in Gaussian random variables. Such a quantity appears in many applications in communications, signal processing, information theory, and adaptive filtering. For example, this quantity appears in the mean-square-error (MSE) analysis of the normalized

Compressive Sensing for Millimeter Wave Antenna Array Diagnosis

1 min read ·
M. E. Eltayeb, T. Y. Al-Naffouri and R. W. Heath, "Compressive Sensing for Millimeter Wave Antenna Array Diagnosis", IEEE Transactions on Communications. pp. 1-Jan, Jan 2018. Abstract: The radiation pattern of an antenna array depends on the excitation weights and the geometry of the array. Due to wind and atmospheric conditions, outdoor millimeter wave antenna elements are subject to full or partial blockages from a plethora of particles like dirt, salt, ice, and water droplets. Handheld devices are also subject to blockages from random finger placement and/or finger prints. These blockages

Impulse Noise Estimation and Removal for OFDM Systems",  IEEE Transactions on Communications

1 min read ·
T. Y. Al-Naffouri and A. A. Quadeer and G. Caire, "Impulse Noise Estimation and Removal for OFDM Systems", IEEE Transactions on Communications. vol. 62 , pp. 976-989, Mar 2014 Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is a modulation scheme that is widely used in wired and wireless communication systems. While OFDM is ideally suited to deal with frequency selective channels and AWGN, its performance may be dramatically impacted by the presence of impulse noise. In fact, very strong noise impulses in the time domain might result in the erasure of whole OFDM blocks of symbols

Mobility-Aware User Association in Uplink Cellular Networks

1 min read ·
R. Arshad and H. Elsawy and S. Sorour and M. S. Alouini and T. Y. Al-Naffouri, "Mobility-Aware User Association in Uplink Cellular Networks", IEEE Communications Letters. vol. 21 , pp. 2452-2455, Nov 2017. Abstract: This letter studies the mobility aware user-to-base station (BS) association policies, within a stochastic geometry framework, in two-tier uplink cellular networks with fractional channel inversion power control. Particularly, we model the BSs’ locations using the widely accepted Poisson point process and obtain the coverage probability and handover cost expressions for the coupled

SNR Estimation in Linear Systems With Gaussian Matrices

1 min read ·
M. A. Suliman and A. M. Alrashdi and T. Ballal and T. Y. Al-Naffouri, "SNR Estimation in Linear Systems With Gaussian Matrices", IEEE Signal Processing Letters. vol. 24 , pp. 1867-1871, Dec 2017. Abstract: This letter proposes a highly accurate algorithm to estimate the signal-to-noise ratio (SNR) for a linear system from a single realization of the received signal. We assume that the linear system has a Gaussian matrix with one sided left correlation. The unknown entries of the signal and the noise are assumed to be independent and identically distributed with zero mean and can be drawn from

Transient analysis of data-normalized adaptive filters

1 min read ·
T. Y. Al-Naffouri and A. H. Sayed, "Transient analysis of data-normalized adaptive filters", IEEE Transactions on Signal Processing. vol. 51 , pp. 639-652, Mar 2003. Abstract: This paper develops an approach to the transient analysis of adaptive filters with data normalization. Among other results, the derivation characterizes the transient behavior of such filters in terms of a linear time-invariant state-space model. The stability, of the model then translates into the mean-square stability of the adaptive filters. Likewise, the steady-state operation of the model provides information about
<> image processing (6)

Tarig Ballal Khidir Ahmed

Research Scientist Laboratory for Nanomedicine, Computational Bioscience Research Center King Abdullah University of Science and Technology | KAUST

Shahzad Gishkori

Postdoctoral Research Fellow (former), Information Science Lab
Postdoctoral Research Fellow, Electrical and Computer Engineering , King Abdullah University of Science and Technology.

Mohammed Ali Abugurain

Visiting student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).

Heba Almorad

Visiting student in the Communication Theory Lab (CTL) and the Information System Lab (ISL), at King Abdullah University of Science and Technology,

Albaraa Omar Alrehaili

Visiting Student (former), Electrical and Computer Engineering
Intern student in the Electrical Engineering Department, King Abdullah University of Science and Technology (KAUST).

Abdulwahab Felemban

Ph.D. Student, Electrical and Computer Engineering CEMSE, King Abdullah University of Science and Technology (KAUST),completed MSc under the supervision of Prof. Tareq Al-Naffouri.
<> Localization (6)

Muhanned Alsaif

Young professional with a robust background in research and engineering, specializing in communication and signal processing applications for estimation. Previous experience: positioning using GNSS. Current experience: subsurface formation estimation using downhole and surface logs.

Abdulkarem Badiea Alshaibani

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

Tareq Al-Naffouri

Professor Al-Naffouri's research focuses on designing and analyzing wireless communication systems, particularly spectrum sharing, cognitive radio, energy efficiency and security within the context of advanced technologies like 5G.

Nasir Saeed

Postdoctoral Research Fellow, Electrical and Computer Engineering
Postdoctoral Fellow at Communication Theory Lab, King Abdullah University of Science and Technology (KAUST) working with Professor Mohamed-Slim Alouini and Professor Tareq Y. Al-naffouri ,Associate Professor with the Department of Electrical and Communication Engineering, United Arab Emirates University (UAEU)

Mohamed Siala

Visiting Researcher (former), Electrical and Computer Engineering
Visiting Faculty, Computer, Electrical and Mathematical Sciences and Engineering, KAUST, KSA. On Sabbatical Leave from SUP’COM, Tunisia.

Mazen Mohamed Aboubakrelseddik Abouelezz

Visiting student at King Abdullah University of Science and Technology (KAUST)
<> optimization (6)

Chaabane Mankai

Surrounded by bright minds and groundbreaking research, KAUST is a great place to learn and grow.

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)

Stochastic Optimization in Target Positioning and Location-based Applications

-

KAUST

This event has been postponed from 20th July to 27th July. Stochastic optimization refers to the minimization/maximization of an objective function in the presence of randomness. The randomness may appear in objective functions, constraints, or optimization methods. It has the advantage of dealing with uncertainties that deterministic optimizers cannot solve or cannot solve efficiently. In this work, we discuss the implementation of stochastic optimization methods in solving target positioning problems and tackling key issues in location-based applications.

Krishnendu S Tharakan

Visiting Student (former), Electrical and Computer Engineering
Visiting student at King Abdullah University of Science and Technology (KAUST).

Ebrahim Al-Safadi

Visiting B.S. Student, Information Science Lab
Internship at King Abdullah University of Science and Technology (KAUST).

Ahmed Douik

Visiting B.S. Student, Computer, Electrical and Mathematical Sciences and Engineering , Quantitative Researcher at Chicago Trading Company PhD candidate at California Institute of Technology
<> Terahertz communications (6)

Nour Kouzayha

Postdoctoral Research Fellow (former), Electrical and Computer Engineering
Research Scientist at King Abdullah University of Science and Technology.

Muhammad M. Rahman

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

Hakim Jemaa

KAUST is an environment that promotes competitivity and encourages personal growth in a rich multicultural community.

Hadi Sarieddeen

postdoctoral fellow in the Communication Theory Lab (CTL) and the Information Science Lab (ISL) at KAUST, working under the supervision of Distinguished Prof. Mohamed-Slim Alouini and Prof. Tareq Al-Naffouri.

Alice Faisal

Visiting Student (former), Electrical and Computer Engineering
Visiting Student at King Abdullah University of Science and Technology (KAUST), chair of IEEE women in engineering affinity group at Effat University student branch.

Ahmed Mohammed Magbool

M.Sc. Degree in Electrical Engineering, King Abdullah University of Science and Technology (KAUST)
<> communication systems (5)

Muhanned Alsaif

Young professional with a robust background in research and engineering, specializing in communication and signal processing applications for estimation. Previous experience: positioning using GNSS. Current experience: subsurface formation estimation using downhole and surface logs.

Omar Khalifa

PhD student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST) ,working under the supervision of Prof. Tareq Al-Naffouri.

Basit Olakunle Alawode

Visiting student at King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Abdulrahman Katranji

Visiting Student (former), Electrical and Computer Engineering
Visiting student at the Information Science Lab (ISL) at King Abdullah University of Science and Technology.

Abdelrahman Said Abdelrahman Mohammed Abdelrahman

Intern (former), Information Science Lab
Remote Internship at King Abdullah University of Science and Technology (KAUST).
<> Digital signal processing (5)

Ahsan Mehmood

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

Tarig Ballal Khidir Ahmed

Research Scientist Laboratory for Nanomedicine, Computational Bioscience Research Center King Abdullah University of Science and Technology | KAUST

Somayah Shafa-amri

Visiting Student at King Abdullah University of Science and Technology (KAUST)

Mohamed Saadeldin

Postdoctoral Research Fellow, Sensors
Postdoctoral Research Fellow, Sensors Lab at King Abdullah University of Science and Technology (KAUST), Assistant Professor, University College Dublin .

Abdulwahab Felemban

Ph.D. Student, Electrical and Computer Engineering CEMSE, King Abdullah University of Science and Technology (KAUST),completed MSc under the supervision of Prof. Tareq Al-Naffouri.
<> channel estimation (4) <> communication networks (4) <> high dimensional statistics (4)

Random Matrix Theory: Selected Applications from Statistical Signal Processing and Machine Learning

-

B1 L4 R4214

Random matrix theory is an outstanding mathematical tool that has demonstrated its usefulness in many areas ranging from wireless communication to finance and economics. The main motivation behind its use comes from the fundamental role that random matrices play in modeling unknown and unpredictable physical quantities. In many situations, meaningful metrics expressed as scalar functionals of these random matrices arise naturally. Along this line, the present work consists in leveraging tools from random matrix theory in an attempt to answer fundamental questions related to applications from statistical signal processing and machine learning.

Ph. D. Student Khalil Elkhalil nominated finalist for the Best Student Paper Award in the IEEE MLSP Conference

1 min read ·
Fast-placing Machine Learning (ML) is continuously in need of new algorithms, but testing their effectiveness is utterly time-consuming. "Asymptotic Performance Of Regularized Quadratic Discriminant Analysis Based Classifiers," a new paper presented by CEMSE Ph.D. Student Khalil Elkhalil puts ML on the fast gear and a finalist for the Best Student Paper Award in the IEEE MLSP Conference held last September in Roppongi, Tokyo, Japan.

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering
PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.

Ayed M. Alrashdi

Ph.D. Student (former), Electrical and Computer Engineering
Ph.D. degree in electrical and computer engineering from the King Abdullah University of Science and Technology (KAUST) working with Professor Tareq Al-Naffouri in the Information System Lab (ISL),Assistant Professor with the Electrical Engineering Department at University of Ha'il
<> MATLAB (4) <> Adaptive filtering (3) <> Applications (3) <> bioelectronics (3) <> Biomedical Signal Processing (3) <> Cellular Networks (3) <> cloud computing (3) <> Compressive Sensing (3) <> connectivity (3) <> data science (3)

Random Matrix Theory: Selected Applications from Statistical Signal Processing and Machine Learning

-

B1 L4 R4214

Random matrix theory is an outstanding mathematical tool that has demonstrated its usefulness in many areas ranging from wireless communication to finance and economics. The main motivation behind its use comes from the fundamental role that random matrices play in modeling unknown and unpredictable physical quantities. In many situations, meaningful metrics expressed as scalar functionals of these random matrices arise naturally. Along this line, the present work consists in leveraging tools from random matrix theory in an attempt to answer fundamental questions related to applications from statistical signal processing and machine learning.

Ph. D. Student Khalil Elkhalil nominated finalist for the Best Student Paper Award in the IEEE MLSP Conference

1 min read ·
Fast-placing Machine Learning (ML) is continuously in need of new algorithms, but testing their effectiveness is utterly time-consuming. "Asymptotic Performance Of Regularized Quadratic Discriminant Analysis Based Classifiers," a new paper presented by CEMSE Ph.D. Student Khalil Elkhalil puts ML on the fast gear and a finalist for the Best Student Paper Award in the IEEE MLSP Conference held last September in Roppongi, Tokyo, Japan.

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering
PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.
<> embedded systems (3) <> Generative AI and LLMs (3) <> GNSS localization (3)

GNSS Localization and Attitude Determination via Optimization Techniques on Riemannian Manifolds

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B1 L3 R3119

This thesis focuses on Global Navigation Satellite Systems (GNSS)-based localization and attitude determination, essential for navigation and control systems in various platforms. Carrier-phase observations from GNSS signals are more accurate than pseudo-range, but resolving integer ambiguities in carrier-phase data is challenging. The thesis proposes three attitude determination methods based on an optimized GNSS attitude model with nonlinear constraints. Additionally, a joint solution for real-time kinematic positioning and attitude determination is proposed, leveraging the correlation between GNSS data in these two problems. Riemannian optimization is applied to improve the accuracy and ambiguity resolution in both localization and attitude determination.

ISL Team Nominated for IEEE Walter R. Fried Memorial Award

1 min read ·
This year, the ISL team attended the 2020 IEEE/ION Position, Location and Navigation Symposium. A team of Professor Tareq Al-Naffouri, Xing Lui and Tarig Ballal co-authored the Conference Publication titled GNSS Attitude Determination Using a Constrained Wrapped Least Squares Approach. The publication focused on GNSS Attitude Determination. The publication's excellence was recognized as it was shortlisted for the Walter R. Fried Memorial Award. While the publication did not ultimately win the award, the superior technical quality of the work was recognized.

Xing Liu

Postdoctoral Research Fellow, Electrical and Computer Engineering
Postdoctoral researcher in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST)
<> Hand Gestures Recognition (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.
<> intelligent reflecting surfaces (3)

Gyan Deep Verma

Postdoctoral Research Fellow, Electrical and Computer Engineering
Gyan Deep verma 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 Gyan Deep Verma received his B.Tech. degree in Electronics Engineering from Harcourt Butler Technological Institute, Kanpur, Uttar Pradesh, India, in 2015, and his M.Tech. degree in Communication Systems Engineering from the Indian Institute of Technology (IIT) Patna, Bihar, India, in

Waqas Aman

Visiting Student (former), Electrical and Computer Engineering
Remote Internship at King Abdullah University of Science and Technology (KAUST).

Alice Faisal

Visiting Student (former), Electrical and Computer Engineering
Visiting Student at King Abdullah University of Science and Technology (KAUST), chair of IEEE women in engineering affinity group at Effat University student branch.
<> Massive MIMO (3) <> MIMO radars (3) <> network coding (3) <> Next generation wireless communications (3) <> Non-Terrestrial Networks (3)

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
KAUST-CEMSE-ECE-Omar-Khalifa-Winner-Of-Non-Terrestrial-Networks-for-6G-(NTNYS'24

KAUST ECE students achieve high honors in Competition on Non-Terrestrial Networks for 6G (NTNYS'24)

4 min read ·
KAUST Ph.D. candidate Omar Khalifa earned an impressive second place in the global Competition on Non-Terrestrial Networks for 6G (NTNYS'24). The IEEE Future Networks Initiative organized the competition as part of the "Connecting the World from the Skies Global Forum," which took place last November in Riyadh. Second place, and a prize of $10,000, was awarded to Khalifa based on his work titled "Supplying Data for Digital Twins in Green Smart Cities: A Non-Invasive NTN-IoT Approach." The international forum, which focused on the theme “Shaping the Future of Converged Connectivity,” was hosted
Houcine Chougrani

Houcine Chougrani

I decided to join KAUST because of its outstanding environment and the exceptional quality of its professors, postdocs, and students. The university's recent focus on applied research resonates deeply with my background, which spans both academic and industrial domains. This alignment presents a unique opportunity to transform our theoretical concepts into tangible innovations, ultimately contributing to the advancement of society.
<> Performance analysis (3) <> Physical layer security (3) <> Python (3) <> Reinforcement Learning (3) <> Sensor networks (3) <> Signal Applications (3) <> Ultra-wideband communication (3)

Tarig Ballal Khidir Ahmed

Research Scientist Laboratory for Nanomedicine, Computational Bioscience Research Center King Abdullah University of Science and Technology | KAUST

Mohammad Tamim Alkhodary

Ph.D. degree in electrical engineering from the King Fahd University of Petroleum and Minerals. Postdoctoral Fellow at École de technologie supérieure, Montreal, QC, Canada

Mohamed Saadeldin

Postdoctoral Research Fellow, Sensors
Postdoctoral Research Fellow, Sensors Lab at King Abdullah University of Science and Technology (KAUST), Assistant Professor, University College Dublin .
<> Ultrasonic-based Localization (3)

Signal Processing and Optimization Techniques for High Accuracy Indoor Localization, Tracking, and Attitude Determination

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B1 L3 R3119

High-accuracy indoor localization and tracking systems are essential for many modern applications and technologies. However, accurate location estimation of moving targets is challenging. This thesis addresses the challenges in indoor localization and tracking systems and proposes several solutions. A novel signal design, which we named Differential Zadoff-Chu, allows us to develop algorithms that accurately estimate the distances of static and moving targets even under random Doppler shifts. The results show that the proposed algorithms outperform the state-of-the-art in terms of both accuracy and complexity.

Saudi Summer Internship (SSI) Poster Competition Winners

1 min read ·
Rawan Al Ghamdi, Abdulwahab Felemban and Abdullah Zayat were interns this summer as part of the Saudi Summer Internship (SSI) Program. This is a program involving undergraduates from various universities in the Kingdom and this year hosted 43 students. Abdulwahab and Abdullah worked on enhancing ultrasonic indoor localization and in particular using machine learning to classify arriving signals between line-of-sight and multi-path. Abdulwahab and Abdullah won the second place in the poster competition that took place at the end of the SSI program. Rawan Al-Ghamdi was an intern this summer as

Mohammed Hussain AlSharif

Ph.D. Student (former), Electrical and Computer Engineering
Ph.D. Degree, Electrical and Computer Engineering ,King Abdullah University of Science and Technology, KAUST,
<> wireless sensor networks (3) <> 6g wireless systems (2) <> Acoustic sensing and communications (2) <> acoustic signal detection (2) <> AI for healthcare (2) <> AI4Science (2) <> algorithms (2) <> Analog circuits (2) <> applied mathematics (2) <> attitude determination (2) <> Biomedical Engineering (2) <> cognitive radio networks. (2) <> Communication Theory (2) <> Computational biology (2) <> Computational Immunology (2) <> control systems (2) <> Cooperative communications (2) <> Cooperative networks (2) <> cybersecurity (2) <> data analysis (2) <> Data Analytics (2) <> development (2) <> Distribution Agnostic Bayesian Estimation of Sparse Signals (2) <> electronics (2) <> Embedded systems. (2) <> energy efficiency (2) <> healthcare (2) <> indoor localization systems (2) <> Intelligent Transportation Systems (2) <> ISAC (2) <> LiDAR (2) <> microelectronics (2) <> Movement detection and tracking using RF and acoustic waves. (2) <> Network Design (2) <> optical communication (2) <> Optical communications (2) <> Programming language (2) <> quantum communication (2) <> renewable energy (2) <> robotics (2) <> Semi-blind seismic deconvolution using orthogonal clustering (2) <> Sensor array processing (2) <> Signal and Image Processing (2) <> Signal processing for Wireless Networks (2)