Ahmad Merei
3rd cycle student member
Université du Québec à Chicoutimi (UQAC)
Department of Computer Sciences and Mathematics (DIM)
555 Boul De l'Université
, Chicoutimi
(Québec)
G7H2B1
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Areas of research
- UAV Path Planning
- Obstacle Detection & Avoidance
- NFZ Avoidance
- Emergency Safe Landing
- Healthcare UAVs
University
Université du Québec à Chicoutimi (UQAC)
Primary axis of the AIRS Network
Care, prevention and health promotion
Research sectors
- Robotics
Research types
- Applied Research
Diplomas
- B.Sc
- M.Sc
- Ph.D
Research work
Ph.D. in Computer Science - Expertise in Uncrewed Aerial Vehicle navigation, obstacle avoidance, and emergency safe landing systems
NAME OF DIRECTOR:
Hamid Mcheick
ORCID NUMBER:
https://orcid.org/0000-0002-3984-6578
Bibliographic references and DOIs
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