معرفی
Arslan Musaddiq serves as a Senior Lecturer in the Department of Computer Science and Media Technology at Linnaeus University's Faculty of Technology, Sweden. His expertise spans Internet of Things, machine learning, artificial intelligence, embedded systems, and wireless communication technologies, with a strong focus on practical applications for industry.
Dr. Musaddiq holds a PhD in Information and Communication Engineering from Yeungnam University, South Korea (2021), where his research focused on applying reinforcement learning techniques to enhance IoT-based wireless communication systems. He also earned a Master's degree in Communications and Network Engineering from University Putra Malaysia (2015).
His research interests concentrate on developing data-driven solutions tailored for small and medium-sized enterprises in the Linnaeus region. Dr. Musaddiq teaches courses including Computer Networks, Embedded Systems, and multiple IoT-related subjects at both bachelor's and master's levels.
Dr. Musaddiq actively participates in several research initiatives including HPC for SME, IoT lab for SME 2.0, and the DigIT project, all aimed at helping companies enhance their operations through AI, IoT, and data analytics. His publication record shows a consistent focus on practical IoT applications across energy systems, transportation, environmental conservation, and healthcare sectors.
Previously, he served as a Postdoctoral Research Fellow at Linnaeus University (2021-2024) and at the Information and Communication Technology Convergence Research Center at Kumoh National Institute of Technology, South Korea, where he continued his work on reinforcement learning-based resource management in IoT environments.
