Summary
Dr. Kais Belwafi is an accomplished academic and researcher in the fields of information and communication technologies. His expertise includes embedded systems, brain-computer interfaces, and machine learning, making significant contributions to both academia and industry.
Education
Dr. Belwafi earned his Ph.D. in Sciences and Technologies of Information and Communication from Paris Seine University, France, where he graduated with the highest honors in 2017. His thesis focused on designing adaptable embedded architectures for brain-machine interface applications. He also holds an MSc. in Intelligent Communication Systems and an Engineering Degree in Real-Time Systems, both graduated with top honors.
Professional Experience
Currently, Dr. Belwafi serves as an Assistant Professor (Visiting) at the University of Sharjah, UAE. He has previously held positions as an Instructor at Khalifa University and a Part-Time Lecturer at King Saud University (KSU), where he taught a variety of computer science courses. Additionally, he has worked as a Research Scientist at Khalifa University and managed significant projects like the KSU CubeSat.
Technical Skills
His technical expertise encompasses programming languages such as C/C++, Java, and Python, as well as hardware description languages like VHDL and Verilog. He is proficient in software tools including Matlab, R, Simulink, Eagle, and Proteus.
Teaching Experience
Dr. Belwafi has taught various courses, including Digital Logic Design, Cybersecurity, and Computer Architecture, along with advanced topics in embedded systems and programming.
Research Interests
His research interests span brain-computer interfaces, embedded systems security, machine learning, artificial intelligence, and signal processing.