About

Dr. Omar Bouattane is a leading researcher at the intersection of artificial intelligence, biomedical engineering, and human-robot interaction. His work primarily focuses on developing intelligent systems that bridge the gap between computational models and real-world applications, with a strong emphasis on healthcare and assistive technologies. His most impactful contribution is the application of machine learning for early disease prediction, exemplified by his 2020 study using Artificial Neural Networks and Adaptive Boosting to predict heart disease, which has garnered 37 citations. Dr. Bouattane has also pioneered the use of Brain-Computer Interfaces (BCI) for special education, creating EEG-based systems to assess emotional and cognitive skills in children with special needs (15 citations). His innovative work in Lattice Computing has led to novel classification schemes for tree data structures and head pose estimation, both critical for social robotics. Additionally, he has contributed to energy management through fuzzy logic controllers for HVAC systems. With a portfolio spanning medical diagnostics, educational technology, and robotics, Dr. Bouattane’s research demonstrates a consistent commitment to translating complex computational theories into practical, human-centered solutions.

Research Focus

Key Achievements

4
H-Index
7
Papers
74
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Prediction of Patients with Heart Disease using Artificial Neural Network and Adaptive Boosting techniques
37 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Université Hassan II Mohammedia, University of Hassan II Casablanca, École Normale Supérieure de l'Enseignement Technique de Mohammedia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago