Amin Abken

Dr. Amin Abken is an Associate Teaching Fellow at the School of Information Technology, Deakin University, where he contributes to academic instruction and research in artificial intelligence, data management, and distributed computing. He holds a Ph.D. from Deakin University and is affiliated with the Faculty of Science, Engineering, and Built Environment.

His research spans Context-Aware Computing, Reinforcement Learning, and Internet of Things (IoT), with a focus on adaptive caching strategies, group activity recognition, and intelligent transportation systems. His recent publications highlight advancements in context caching techniques and reinforcement learning for IoT environments.

Dr. Abken's collaborative work includes co-authored articles in journals like ACM Transactions on Internet of Things, IEEE Internet of Things Magazine, and IEEE Transactions on Intelligent Transportation Systems. He employs methodologies in probabilistic analysis, dynamic system optimization, and edge-cloud platforms for urban IoT ecosystems.

His articles demonstrate a consistent focus on IoT-based systems, context-aware algorithms, and distributed computing since 2014, with recent trends emphasizing reinforcement learning and smart city applications like carparking simulations.

Dr. Abken collaborates frequently with researchers such as Weerasinghe, Zaslavsky, and Loke SW, addressing challenges in context caching, group activity recognition, and edge computing across publications in ACM, IEEE, and SpringerOpen.