El-Makkaoui

Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of TinyML, enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge IoT nodes. It is a guide to designing, optimizing, securing, and applying TinyML models in real-world constrained environments.

Prof. Khalid El Makkaoui is an Associate Professor with the Department of Computer Science at the Multidisciplinary Faculty of Nador, University Mohammed Premier, Oujda, Morocco. His research interests focus on cybersecurity and artificial intelligence. He has published over 40 papers (book chapters, international journals, and conferences).

Dr. Ismail Lamaakal is currently advancing towards his Ph.D. in Computer Science at the Multidisciplinary Faculty of Nador, University Mohammed Premier, Oujda, Morocco. As an Artificial Intelligence Scientist, his research primarily focuses on the innovative integration of Tiny Machine Learning, the Internet of Things (IoT), Human-computer interaction, and Embedded Systems.

Prof. Ibrahim Ouahbi is a professor of computer science at the Multidisciplinary Faculty of Nador, University Mohammed Premier, Oujda, Morocco. His research interests include artificial intelligence, cybersecurity, and ICT integration in science education and learning.

Prof. Yassine Maleh is a PhD of the University Hassan 1st in Morocco in the field of Internet of Things Security and privacy, since 2013. He is Senior Member of IEEE, Member of the International Association of Engineers IAENG and The Machine Intelligence Research Labs. He has published over than 50 papers, 4 edited books and 1 authored book.

Prof. Ahmed A. Abd El-Latif (Senior Member, IEEE) is a Professor at Menoufia University, Egypt, and holds academic positions at Prince Sultan University, Saudi Arabia. He earned his Ph.D. (2013) from the Harbin Institute of Technology, China. He has authored over 350 publications in prestigious journals and conferences and has received multiple awards for his contributions.