IoT

Serine Medjber

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

Mohammed Amine Labbas

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

Professor Setti receives the 2025 IEEE Circuits and Systems Society Mac Van Valkenburg Award

3 min read ·
Dean of the KAUST CEMSE Division Professor Gianluca Setti has received the 2025 Institute of Electrical and Electronics Engineers (IEEE) Circuits and Systems (CAS) Society Mac Van Valkenburg Award.
Ruochen Zhu

Ruochen Zhu

Mohamed Ads

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

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

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

AI-enabled UAVs and Multimodal Monitoring for Protected and Controlled Environment (PACE)

This project aims to utilize advanced technologies for UAVs to enhance the efficiency, accuracy, and responsiveness of crop monitoring and management within the diverse PACE settings. The primary objectives revolve around employing a fleet of micro-UAVs equipped with cameras and LiDAR sensors to capture high-resolution images and 3D point clouds and perform multi-layered AI analysis. While cameras offer visual insights into surface-level plant health and characteristics, LiDAR provides deeper insights about plant physical attributes for a more comprehensive crop assessment. This project is

Circuits, Systems, and Algorithms for Low-power Signal Processing in IoT Nodes Implementation

In the IoT paradigm the low-power signal processing, either analog of digital, is a key-enabling technology. Many unconventional processing techniques, either based on a statistical analysis or not, have been introduced in the effort of being able to complete a task with the lowest possible energy. A first example is given by the Compressed Sensing, an acquisition technique which relies on the sparsity of the underlying signals, to enable sampling below the classical Nyquist rate. The advantages with respect to the above “classical” technique is to transfer complexity from the acquisition
Hakim Ghazzai

Hakim Ghazzai

Senior Research Scientist, Electrical and Computer Engineering
Hakim is a researcher focusing on designing multi-disciplinary innovative solutions for diverse smart city applications and services.