Mohamed Aziz Benhouichet
Mohamed Aziz Benhouichet is an M.S./Ph.D. student in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST). His research focuses on artificial intelligence, embedded AI, IoT, and multimodal sensor fusion. He previously trained at Ecole Polytechnique de Tunisie (EPT), ranking among the top 1% in the national entrance exam for engineering schools, and brings strong expertise in signals, systems, and intelligent embedded platforms.
Biography
Mohamed Aziz Benhouichet is pursuing his M.S./Ph.D. in Electrical and Computer Engineering at KAUST, where he works on embedded artificial intelligence, IoT, and multimodal perception systems. Before starting his graduate studies, he gained hands-on research experience at KAUST as a visiting student, contributing to projects on multimodal fusion between event-based cameras and LiDAR sensors. Prior to joining KAUST, Mohamed earned his Engineering Diploma in Signals and Systems from Ecole Polytechnique de Tunisie (EPT), graduating with first-class honors. He ranked among the top 1% of students in Tunisia
in the 2022 national entrance exam for engineering schools. His academic path reflects a strong multidisciplinary foundation, bridging theory and application in intelligent systems, robotics, and digital hardware.
Research Interests
- Artificial Intelligence (AI)
- Embedded AI and TinyML
- Internet of Things (IoT)
- Multimodal sensor fusion
- Signals and Systems
- Robotics
Qualifications
Education
- Bachelor of Science (B.S.)
- Electrical Engineering and Computer Science, Ecole Polytechnique de Tunisie, Tunisia, 2025
- Arabic
- Native or bilingual proficiency
- French
- Professional working proficiency
- English
- Professional working proficiency