Multi-Target Path Planning with Probabilistic Detection in Cluttered Environments

Jun 9, 2025·
Noor Khial
Naram Mhaisen
Naram Mhaisen
,
Loay Ismail
,
Mohamed Abdalla Mabrok
,
Amr Mohamed
Abstract
A multi-target path planning approach with probabilistic detection for autonomous agents navigating cluttered environments.
Type
Publication
In Proceedings of ICC 2025 - IEEE International Conference on Communications, 1298-1303
publications
Path Planning UAVs
Naram Mhaisen
Authors
Naram Mhaisen
Postdoctoral Researcher

Naram is a Postdoctoral Researcher with the Networked Systems Group at the Faculty of Electrical Engineering, Mathematics, and Computer Science, TU Delft, The Netherlands. His research focuses on online learning techniques with applications in resource management across communication systems.

He received the B.Sc. degree in Computer Engineering from Qatar University in 2017 with the Order of Excellence award, and the M.Sc. degree with Distinction in Computing from Qatar University in 2020, supervised by Prof. Mohsen Guizani. He completed his Ph.D. at TU Delft in 2025, supervised by Dr. George Iosifidis, with a thesis on Optimistic Learning with Applications to Caching Networks.

His work has been recognized by the Microsoft Imagine Cup award (2017) and a NEC Europe Research Fellowship (2022).