machine learning

Yibin Wang

Ph.D. Student, Electrical and Computer Engineering

machine learning Free Space Optics FPGA

Keep Moving forward

Andrea Vanessa Rocha

Research Specialist, Statistics

Statistical Modeling computational statistics machine learning stochastic processes

Chengjie zhao

Chengjie Zhao

Visiting Researcher, Information Science Lab

wireless communication Signal processing optimization machine learning

Visiting Student, King Abdullah University of Science and Technology

Harnessing Multi-modal AI and Machine Learning for Next-Generation 6G Networks

Asmaa Abdallah, Research Scientist, Electrical and Computer Engineering

Apr 27, 12:00 - 13:00

B9 L2 R2325

LLM machine learning 6G wireless communication Digital signal processing

This seminar explores how multi-modal AI and large language models can optimize future 6G wireless networks by integrating diverse data sources to enhance reliability, efficiency, and overall performance.

David Gomez-Cabrero

Associate Professor, Bioscience

computational bioscience machine learning genomics epigenetics functional biology

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.

Mohamed Ads

Visiting Student (former), King Abdullah University of Science and Technology

IoT Telecommunications Smart Wireless Massive Systems LED Wireless Communication Systems artificial intelligence machine learning Cyber Security

Visiting Student, King Abdullah University of Science and Technology

Hayssam Dahrouj

Research Scientist (former), King Abdullah University of Science and Technology

6g wireless systems cloud- and fog-radio access networks cross-layer optimization Cooperative networks machine learning Optical communications

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

Karen Sanchez

Postdoctoral Research Fellow

Computer Vision machine learning AI for healthcare deep learning Medical imaging

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

machine learning Computer Vision AI4Science

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

Computer Vision machine learning Deep generative models

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

Visiting Scholar (former), King Abdullah University of Science and Technology

Signal processing Wireless Communications machine learning

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

Muhammad Esmat

Visiting Scholar (former), King Abdullah University of Science and Technology

machine learning neural network

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

Yasser Jaber

Visiting Researcher (former), King Abdullah University of Science and Technology

machine learning software artificial intelligence

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

embedded systems IoT energy efficiency machine learning artificial intelligence intrusion detection computer networks

Ahsan Mehmood

Intern (former), Information Science Lab

IoT Biomedical Signal Processing healthcare Digital signal processing machine learning

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

Abdulkarem Badiea Alshaibani

Visiting Student (former), King Abdullah University of Science and Technology

Localization machine learning

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

Nov 27, 08:00 - Nov 28, 17:00

B2 L5 R5220

cybersecurity machine learning 5G networks hardware security

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.

Waleed Abu Laban

M.S. Student (former), Electrical and Computer Engineering

Signal processing machine learning

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 (former), Communication and Computing Systems Lab

machine learning memristors neural network accelerator

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

Ph.D. Student, Electrical and Computer Engineering

machine learning reconfigurable computing

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

Ph.D. Student (former), Communication and Computing Systems Lab

machine learning Machine learning applications for wireless communication systems

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.