Tiny Machine Learning Techniques for Constrained Devices

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.

• 1. Microcontroller-Centric Power Optimization in Embedded Systems 2. Core Principles and Algorithms for Tiny Machine Learning 3. TinyML and Edge AI for Low-Power IoT and LPWAN Applications 4. Efficient Real-Time Mask Detection Using TinyML 5. TinyML for Smarter Healthcare: Compact AI Solutions for Medical Challenges 6. Adaptive Energy Modeling and Communication Optimization for LoRaWAN-Based IoT Networks 7. Security and Privacy in TinyML Applications 8. Secure Tiny Machine Learning on Resource-Constrained IoT Devices 9. Integrating TinyML with Blockchain for Secure IoT Applications 10. TinyML: Emerging Applications and Future Research Directions