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Arar Al-Tawil is a Lecturer and PhD candidate in Computer Science, affiliated with the School of Computer Sciences, Universiti Sains Malaysia (USM), Malaysia, and the Department of Computer Science, Faculty of Information Technology, Applied Science Private University (ASU), Jordan. His academic and professional work lies at the intersection of intelligent systems, immersive technologies, and applied computing for healthcare and education.

His research interests include artificial intelligence, machine learning, computer vision, reinforcement learning, metaheuristic optimization algorithms, virtual and augmented reality, serious games, and intelligent rehabilitation systems. He has extensive experience in designing AI-driven systems for stroke rehabilitation, motor assessment, healthcare analytics, and adaptive learning platforms, with a particular focus on low-cost, accessible, and data-driven solutions.

Arar has authored and co-authored multiple peer-reviewed publications in areas such as medical image analysis, game-based rehabilitation, optimization techniques, and AI-enabled decision-support systems, targeting Scopus-indexed and Q1/Q2 journals. He is also actively involved in interdisciplinary research collaborations across computer science, healthcare, and biomedical engineering.

In addition to his research activities, Arar is an experienced educator and academic coordinator, contributing to undergraduate and postgraduate teaching, curriculum development, and quality assurance within BTEC and higher-education programs. He is engaged in supervising student projects, leading applied research initiatives, and promoting innovation through gamification, VR-based learning, and industry-aligned computing education.​