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Dr. Anal Paul, Assistant Professor in the Department of Computer Science and Engineering at Yuan Ze University, garnered international attention with his latest research, which was successfully published in the prestigious IEEE Internet of Things Journal.
This journal, ranked in the Q1 category of SCI in the field of information technology and boasting a high impact factor of 8.2, reflected the significance of his contribution to the academic community.
Dr. Paul’s research focused on key technologies in 6G smart transportation systems, specifically addressing energy efficiency, low-latency computing, and privacy protection. He proposed a highly scalable and innovative framework that offered a breakthrough solution for the future of Internet of Vehicles (IoV) technology.
His paper, titled "Trustworthy AI for 6G-IoV: A Privacy-Preserved Distributed Multiagent Federated DRL for Dynamic Electric Vehicle Charging and Task Offloading", explored critical technologies for electric vehicles, such as wireless power transfer (WPT) and real-time computing task offloading during transit. By integrating federated deep reinforcement learning (FDRL) with a multi-agent system, Dr. Paul developed an intelligent mechanism for energy distribution and computational task management. The study not only enhanced charging efficiency and computing performance for electric vehicles but also ensured robust user data privacy. It allowed model training to be completed locally without uploading raw data, thereby meeting the demands of IoV for privacy and trustworthy AI.
In experimental tests, the proposed architecture demonstrated exceptional performance by significantly reducing computing latency and improving system resource allocation. Its scalability and practicality further solidify its potential as a foundational technology in the advancement of 6G smart transportation.
Dr. Paul had long focused on research areas including 6G communication, reinforcement learning, and wireless resource allocation. His academic background spanned institutions such as the Indian Institute of Engineering Science and Technology, Yeungnam University in South Korea, and National Sun Yat-sen University in Taiwan, providing him with a wealth of research experience and contributing to the advancement of next-generation technologies.
Professor You-Ting Tsai, Chair of the Department of Computer Science and Engineering at Yuan Ze University, stated that Dr. Paul’s research not only showcased his outstanding contributions to the fields of smart transportation and trustworthy AI but also highlighted Yuan Ze University’s research capabilities and influence on the international academic stage. He emphasized that this achievement carried significant implications for technological innovation and the future development of intelligent transportation systems.
