Reinforcement Learning for Intelligent Healthcare Systems: A Review

Dec 15, 2023·
Alaa Awad Abdellatif
Naram Mhaisen
Naram Mhaisen
,
Amr Mohamed
,
Aiman Erbad
,
Mohsen Guizani
Abstract
A review of reinforcement learning techniques applied to intelligent healthcare systems, covering algorithms, applications, and open challenges.
Type
Publication
IEEE Internet of Things Journal, 10(24):21982-22007
publications
Reinforcement Learning Healthcare Survey
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).