My CV

Education

2025: Ph.D. in Computer & Communication Sciences, Mohammed VI Polytechnique University
- Thesis title: Advanced Machine Learning for Collaborative and Privacy-Preserving Localization in IoT Networks.
2020: Electrical Engineering (Specialty: Embedded Systems & Telecommunications), Hassan 2 University
- Thesis title: Distributed Cooperative Localization in IoT Environments.
2017: Undergraduate Diploma. Faculty of Science and Technology. Field: Mathematics, Physics, and Computer Science.

Work experience

Jan. 2023-Jun. 2023: Research Intern, LISITE Laboratory, ISEP - Institut Supérieur d’Electronique de Paris.
- Conducted research on generalizable and privacy-preserving indoor localization solutions leveraging federated and meta-learning techniques.
Feb. 2020 Aug. 2020: Research Intern, College of Computing, Mohammed VI Polytechnic University.
- Developed a novel localization algorithm for IoT networks through extensive literature review, MATLAB simulations, and experimental data validation.
Jul. 2019 Aug. 2019: IoT Hardware Engineer Trainee, Vetrasoft engineering.
- Studied and designed a Machine-to-Machine communication electronic circuit board for geolocation based on Gemalto’s GSM EHS6 module.
Jun. 2018-Jul. 2018: Railway Electronics Technician Trainee, National Railway Office (ONCF)
- Conducted maintenance and troubleshooting of train door control systems and electronic control modules for static and traction groups.

Skills

Languages: French and English.
Programming: Python, C/C++, Java, Matlab, SQL, LaTEX.
Databases: MySQL, PostgreSQL, SQLite.
Web Dev.: HTML, CSS, JavaScript, PHP, Apache Web Server, Laravel, WordPress.
Misc.: Academic Research, Teaching, Training, Mentoring.

Publications

A Unified Deep Transfer Learning Model for Accurate IoT Localization in Diverse Environments

Ahmed, Abdullahi Isa and Etiabi, Yaya and Azim, Ali Waqar and Amhoud, El Mehdi, "A Unified Deep Transfer Learning Model for Accurate IoT Localization in Diverse Environments," IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 2024.

Federated distillation for communication-efficient collaborative indoor localization

Y. Etiabi, W. Njima, and E. M. Amhoud, "Federated distillation for communication-efficient collaborative indoor localization," IEEE Sensors Journal, pp. 11678 – 11692, 2024.

FeMLoc: Federated Meta-Learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks

Y. Etiabi, W. Njima, and E. M. Amhoud, "FeMLoc: Federated Meta-Learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks," IEEE Internet of Things Journal, vol. 11, no. 22, pp. 36991 – 37007, 2024.

Spreading factor assisted LoRa localization with deep reinforcement learning

Y. Etiabi, M. Jouhari, A. Burg, and E. M. Amhoud, "Spreading factor assisted LoRa localization with deep reinforcement learning," in IEEE 97th Vehicular Technology Conference (VTC2023-Spring), IEEE, 2023, pp. 1-5.

Federated Learning based Hierarchical 3D Indoor Localization

Etiabi, Yaya and Njima, Wafa and Amhoud, El Mehdi, "Federated Learning based Hierarchical 3D Indoor Localization," IEEE Wireless Communications and Networking Conference, WCNC, vol. 2023-March, 2023.

FedCTI: Federated Learning and Cyber Threat Intelligence on the Edge for secure IoT Networks

El Jaouhari, Saad and Etiabi, Yaya, "FedCTI: Federated Learning and Cyber Threat Intelligence on the Edge for secure IoT Networks," Proceedings of the 13th International Conference on the Internet of Things, pp. 98 – 104, 2023.

Huber Estimator and Statistical Bootstrap Based Light-Weight Localization for IoT Systems

Etiabi, Yaya and Amhoud, El Mehdi and Sabir, Essaid, "Huber Estimator and Statistical Bootstrap Based Light-Weight Localization for IoT Systems," UNet 2021 - International Conference on Ubiquitous Networking, vol. 12845 LNCS, pp. 79 – 92, 2021.

A distributed and collaborative localization algorithm for internet of things environments

Etiabi, Yaya and Amhoud, El Mehdi and Sabir, Essaid, "A distributed and collaborative localization algorithm for internet of things environments," 18th International Conference on Advances in Mobile Computing & Multimedia, pp. 114 – 118, 2020.

Teaching

C Programming * Co-supervised C Programming Lab. * Cultivated practical programming skills in students through collaborative lab instruction, fostering a strong foundation in computer science fundamentals.
Machine Learning * Instructed Machine Learning (ML) Class. * Equipped students with the knowledge and tools for building intelligent systems. * Developed engaging lectures and fostered a dynamic learning environment for mastering ML fundamentals.
AI Training * Provided Hands-on AI Training. * Empowered students with a foundational understanding of artificial intelligence through a series of engaging webinars.

Service and leadership

2023-2025: Emerging leaders in AI (ELAI) program facilitator at Black in AI.
2018-2019: Market research manager at ENSEM-ENGINEERING (Junior Enterprise of ENSEM).
2017-2019: Debater at The Great Debaters of ENSEM, an association for building communication and public speaking skills.
2016-2017: Vice-president of CESAM of Errachidia.

Dr. Yaya Etiabi