Ahmad Merei
Membre étudiant 3e cycle

Université du Québec à Chicoutimi (UQAC)
Department of Computer Sciences and Mathematics (DIM)
555 Boul De l'Université
, Chicoutimi
(Québec)
G7H2B1
Partager sur
Domaine·s de recherche
- UAV Path Planning
- Obstacle Detection & Avoidance
- NFZ Avoidance
- Emergency Safe Landing
- Healthcare UAVs
Université
Université du Québec à Chicoutimi (UQAC)
Axe primaire du Réseau AIRS
Soins, prévention et promotion de la santé
Secteur·s de recherche
- Robotics
Type·s de recherche
- Applied Research
Diplôme·s
- B.Sc
- M.Sc
- Ph.D
Travaux de recherche
Ph.D. in Computer Science - Expertise in Uncrewed Aerial Vehicle navigation, obstacle avoidance, and emergency safe landing systems
NOM DU OU DE LA DIRECTEUR•TRICE :
Hamid Mcheick
NUMÉRO ORCID :
https://orcid.org/0000-0002-3984-6578
Références bibliographiques et DOI
A. Merei, H. Mcheick, A. Ghaddar, and G. Beltrame, ‘‘Esls: A vision- based emergency safe landing system for uavs,’’ Procedia Computer Science, vol. 272, pp. 277–285, 2025, 16th International Conference on Emerging Ubiquitous Systems and Pervasive Networks / 15th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1877050925035537
A. Merei, H. Mcheick, and A. Ghaddar, ‘‘Survey on path planning for uavs in healthcare missions,’’ Journal of Medical Systems, vol. 47, no. 1, p. 79, 2023. https://doi.org/10.1007/s10916-023-01972-x
A. Merei, H. Mcheick, A. Ghaddar, and D. Rebaine, ‘‘A survey on obstacle detection and avoidance methods for uavs,’’ Drones, vol. 9, no. 3, 2025. "A Survey on Obstacle Detection and Avoidance Methods for UAVs" Drones 9, no. 3: 203. https://doi.org/10.3390/drones9030203
A. Ghaddar, A. Merei, and E. Natalizio, ‘‘Pps: Energy-aware grid-based coverage path planning for uavs using area partitioning in the presence of nfzs,’’ Sensors, vol. 20, no. 13, p. 3742, 2020. https://doi.org/10.3390/s20133742
A. Ghaddar and A. Merei, ‘‘Eaoa: Energy-aware grid-based 3d-obstacle avoidance in coverage path planning for uavs,’’ Future Internet, vol. 12, no. 2, p. 29, 2020. https://doi.org/10.3390/fi12020029