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Mukhtiar Ahmad

Postdoctoral Research Fellow, Electrical and Computer Engineering

NTN Communication Terrestrial Cellular Networks distributed systems edge computing URLLC Safety-Critical Embedded Systems Applied AI

Mukhtiar Ahmad is currently a Postdoctoral Researcher at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. His research interests encompass Non-Terrestrial Networks (NTN), terrestrial cellular networks, distributed systems, and edge computing, with a primary focus on enabling Ultra-Reliable Low-Latency Communication (URLLC) applications. Education and Early Career Mukhtiar Ahmad received the M.Sc. and M.Phil. degrees in Electronics from Quaid-i-Azam University, Islamabad, Pakistan, and the Ph.D. degree in Electrical Engineering from the Lahore University of Management

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V2X (1)

Ahmad Didouh

Postdoctoral Research Fellow

cybersecurity trusted execution environments automotive security V2X blockchain

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vertical-cavity surface emitting laser (1)

Kazuhiro Ohkawa

Professor (former), Electrical and Computer Engineering

metalorganic vapor-phase epitaxy nitride semiconductor micro-light-emitting diodes vertical-cavity surface emitting laser

Professor Ohkawa is a highly regarded researcher, widely recognized for his contributions to electrical engineering and applied physics, particularly for his pioneering work in refining the metalorganic vapor-phase epitaxy technique for novel wide bandgap semiconductors.

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Visible light emitting diodes for next generation displays (1)

Visible light-emitting diodes for next-generation displays

Daisuke Iida, Senior Research Scientist, Electrical and Computer Engineering

Oct 3, 12:00 - 13:00

KAUST

Visible light emitting diodes for next generation displays

This talk will provide an overview of the III-nitride-based visible light-emitting diodes (LEDs). Especially, the InGaN-based blue LEDs are very contributed to energy-saving for light sources all over the world.

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Vision Foundation Models (1)

Abdelrahman Eldesokey

Postdoctoral Research Fellow

Computer Vision Diffusion Models Vision Foundation Models Multi-Modal Large Language Models

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

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vision language models (1)

Reem Alzahrani

Ph.D. Student

Deep learning nlp Computer Vision Large Language Models vision language models Multi-Modal Large Language Models

Reem Alzahrani is an MS/PhD student at KAUST, working on Large Language Models and Vision-Language Models. Her research focuses on identifying and addressing the limitations of AI systems to improve their robustness and reliability.

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Visual Language Models (1)

Andres Villa

Postdoctoral Research Fellow

Continual Learning Multimodal learning Visual Language Models AI4Science Action understanding

Andres Villa is a Postdoctoral Fellow in the IVUL lab at King Abdullah University of Science and Technology (KAUST), focusing on AI for Science, Continual Learning, Visual Language Models, and Action Understanding.

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Web Security (1)

Mehdi Zakroum

Postdoctoral Research Fellow, Computer, Electrical and Mathematical Sciences and Engineering

Cyber Security Web Security Trustworthy AI

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Web Technologies (1)

Nizar Ajeeb

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

Programming language MATLAB data analysis Web Technologies

Full Time Researcher Full at King Abdullah University of Science and Technology.

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wireless communication networks (1)

kaust-cemse-ece-ccsl-zhandos-zhakipov

Zhandos Zhakipov

Ph.D. Student, Electrical and Computer Engineering

5G and beyond wireless communication networks digital twins

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wireless communications. (1)

Mohammed Amine Labbas

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

IoT Signal processing wireless communications. embedded systems

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

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Wireless Energy Transfer (1)

Kaiqiang Lin

Postdoctoral Research Fellow, Electrical and Computer Engineering

Wireless Underground Sensor Networks LoRAWAN Space-Air-Ground-Underground Integrated Networks Wireless Energy Transfer Reinforcement Learning

Kaiqiang Lin 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 Kaiqiang Lin received his B.Eng. degree in Electronic and Information Engineering from Fujian Agriculture and Forestry University, Fuzhou, China, in 2018, and his Ph.D. degree with the College of Surveying and Geo-Informatics Tongji University, Shanghai, China, in 2024. From 2021 to

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wireless transceivers (1)

Abdulrahman Alhamed

Assistant Professor, Electrical and Computer Engineering

Radio Frequency Integrated Circuits wireless transceivers system on chip phased-arrays Satellite Communications

Dr. Abdulrahman Alhamed is an assistant professor of Electrical and Computer Engineering at KAUST, specializing in RF integrated circuits and systems. His research focuses on advancing wireless technologies for telecommunications and sensing applications

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Wireless Underground Sensor Networks (1)

Kaiqiang Lin

Postdoctoral Research Fellow, Electrical and Computer Engineering

Wireless Underground Sensor Networks LoRAWAN Space-Air-Ground-Underground Integrated Networks Wireless Energy Transfer Reinforcement Learning

Kaiqiang Lin 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 Kaiqiang Lin received his B.Eng. degree in Electronic and Information Engineering from Fujian Agriculture and Forestry University, Fuzhou, China, in 2018, and his Ph.D. degree with the College of Surveying and Geo-Informatics Tongji University, Shanghai, China, in 2024. From 2021 to