Predicting diverse QoS metrics in IoT: An adaptive deep learning cross-layer approach for performance balancing
Yassin El Jakani, Abdellah Boulouz, Craig Thomson
Assistant Professor · Maître de Conférences · Agadir, Morocco
I research at the intersection of artificial intelligence and the edge, building QoS-aware IoT and edge systems, and I teach what I learn. Affiliated with the Faculty of Sciences at Université Ibn Zohr · LabSIV . Alongside research and teaching, I speak at developer conferences and help make digital skills accessible across Souss-Massa.
Designing compact deep-learning models for resource-constrained edge and IoT hardware.
Predicting and balancing conflicting quality-of-service metrics across IoT network stacks.
Improving physical-layer security in IoT using deep sequence models.
Edge intelligence, federated learning, and semantic communication for the device–edge–core hierarchy of IoT networks.
Research output
Yassin El Jakani, Abdellah Boulouz, Craig Thomson
Yassin El Jakani, Abdellah Boulouz, Said El Hachemy
Said El Hachemy, Abdellah Boulouz, Yassin El Jakani
Said El Hachemy, Abdellah Boulouz, Yassin El Jakani
Yassin El Jakani, Abdellah Boulouz, Mohamed Ben Salah, Said El Hachemy
Speaking
Marrakech · Nov 2025
Second time on the Devoxx stage, exploring the synergies between Edge AI, federated learning, and IoT at the edge.
Palm Plaza, Marrakech · Oct 2024
A practical walkthrough of NIST CSF 2.0 for security and risk management.
ENSA El Jadida
On interoperability in IoT and how Edge AI and federated learning fit together.
Cité de l'Innovation, Agadir
Demystifying large language models for a mixed audience of students and developers.
ML Ready · 30 Days of ML
A series of community machine-learning sessions, several delivered in Darija.
Recognition
Thesis: “Deep learning and parametric analyses applied to the Internet of Things: a cross-layer approach for QoS prediction and security in IoT networks.” Defended 21 June 2025.
Among 110+ academic and industry teams; top 11 in Northern Africa. An AI + cloud solution for education in Morocco, built with Said El Hachemy.
Represented FS Agadir / UIZ in the Northern Africa regional phase across cloud, big data, and AI; recognised at the Digitech Ecosystem Summit (Skhirat).
Among the country's elite ICT talents. Tech4Good team “Goal Diggers” built an AI + IoT + Cloud assistant supporting people living with dementia.
One of 50 selected from Morocco's AI community; hands-on work on LLMs for flipped learning (Transformers, NLP, TinyML, GNNs, federated learning).
My teaching connects fundamentals with practice, moving students from concepts to implementation through programming, hands-on labs, projects, and real examples from AI, IoT, cloud, and cybersecurity.
Programmation Python
Faculty of Sciences, Agadir
Gestion des réseaux
ENSA, Agadir
Travaux pratiques C / C++
Faculty of Sciences, Agadir
Student mentoring & graduation-project (PFE) juries at FS Agadir
Oracle campus tour, PFE pipeline & certification guidance
Huawei ICT Competition workshops & certification pathways
Credentials
TensorFlow Developer Certificate
TensorFlow / Google
Google Data Analytics Professional Certificate
Google / Coursera
Deep Learning Specialization
DeepLearning.AI / Coursera
HCIA-AI
Huawei ICT Academy
HCIA-Cloud Services
Huawei ICT Academy
HCIA Routing & Switching
Huawei ICT Academy
HCIA-5G
Huawei ICT Academy
Cloud Big Data & Machine Learning
Google Cloud / Coursera
Intro to IoT & Embedded Systems
UC Irvine / Coursera
PhD in Computer Science, Deep learning & cross-layer analyses for QoS prediction and security in IoT networks
Distinction « Very Honorable » · defended 21 June 2025
Through Sciences Pour Tous, I help run volunteer-driven programs that bring coding, robotics, and scientific orientation to young learners.
Mentor & organiser
Organiser & contributor
Contributor
Contributor