27 Aug 2026
HAR-SemCom: Verifiable semantic communications for HAR with task-fidelity guarantees and few-shot personalization at the IoT edgePublisher siteInternet of Things, IoT and Edge/Fog Computing
UniversitiesKhalid El Makkaoui
Active, last published 2026
In intelligent tutoring systems and adaptive learning
Khalid El
Makkaoui
Scholar“Research focused on Intelligent Tutoring Systems and Adaptive Learning and adjacent fields.”
Premier University
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01 · About the work
What I study
halid El Makkaoui is a researcher working on Intelligent Tutoring Systems and Adaptive Learning. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Khalid's work has been cited 4 times across 1 active year. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Intelligent Tutoring Systems and Adaptive Learning×4Ferroelectric and Negative Capacitance Devices×3Topic Modeling×2Epilepsy research and treatment×2Advanced Sensor and Energy Harvesting Materials×2
04 · Where I am
Affiliations
Affiliation on published researchPremier UniversityDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
11 works21 Jun 2026Open access
A lightweight transformer with uncertainty handling for zero-shot epileptic seizure detection on TinyML edge devicesPublisher siteDiscover Artificial Intelligence, EEG and Brain-Computer Interfaces
14 May 2026
TinyML-Based Hand Gesture Recognition for Device ControlPublisher site13 May 2026Open access
Micro-Attention CNN Hybrid Architecture for Real-Time Stress Detection Using Minimalistic Bio-SignalsPublisher siteTechnologies, Advanced Sensor and Energy Harvesting Materials
28 Apr 2026Open access1cites
A Tiny Vision-Based Model for Real-Time Student Attention Detection in Online ClassesPublisher siteMachine Learning and Knowledge Extraction, Visual Attention and Saliency Detection
1 Jan 20261cites
Student Performance Prediction Based on Ensemble Learning TechniquesPublisher siteAdvances in Science, Technology & Innovation/Advances in science, technology & innovation, Online Learning and Analytics
1 Jan 20261cites
TinyML for Epileptic Seizure Detection: A State-of-the-Art ReviewPublisher siteSpringer proceedings in physics, EEG and Brain-Computer Interfaces
1 Jan 2026
Identifying and Predicting Student Engagement and Motivation Using Deep Learning TechniquesPublisher siteAdvances in Science, Technology & Innovation/Advances in science, technology & innovation, Online Learning and Analytics
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