• Scopus Profile

Education

Assoc. Prof. Dr. Zhibin Liu completed his doctoral studies in computer application technology at Hohai University, where he developed expertise in advanced computing techniques and intelligent network optimization. Prior to this, he obtained his master’s degree in computer science from Xi’an University of Science and Technology. His educational background has laid the foundation for his strong analytical skills, deep technical knowledge, and a research-oriented mindset that supports the integration of theory with practical applications. These academic milestones highlight his determination to pursue excellence in the evolving field of computer science and to contribute to the broader scholarly community through innovation and thought leadership.

Experience

Assoc. Prof. Dr. Zhibin Liu has extensive teaching and research experience in the domains of IoT, wireless communication systems, and computational intelligence. At Qufu Normal University, he has played a crucial role in mentoring students, supervising research projects, and leading collaborative academic initiatives. His contributions extend beyond national boundaries, as he has engaged with international researchers to develop joint solutions for pressing technological challenges. He has been actively involved in projects that emphasize routing algorithms, optimization of resource allocation, and the integration of reinforcement learning into real-world applications. Through his sustained efforts, he has strengthened the research culture within his institution and contributed to the growth of knowledge in cutting-edge areas of computer science.

Research Interest

The research interests of Assoc. Prof. Dr. Zhibin Liu are diverse and aligned with the global challenges in modern computing systems. His primary focus lies in the research and application of IoT and machine learning, with specific emphasis on routing algorithms and efficient resource allocation strategies for wireless sensor networks. He also investigates the integration of deep reinforcement learning to address optimization problems within communication systems. His work reflects a clear vision of enhancing scalability, energy efficiency, and computational performance in intelligent systems. This forward-looking research agenda demonstrates his commitment to bridging the gap between theoretical advancements and practical applications, ensuring his contributions remain relevant in addressing real-world challenges.

Award

Assoc. Prof. Dr. Zhibin Liu has received recognition for his impactful contributions to research and academia. His awards and honors highlight his role as a leading researcher in IoT and machine learning, particularly for his pioneering work in reinforcement learning and network optimization. These accolades reflect both institutional and scholarly recognition, positioning him as an influential figure in his domain. His dedication to academic excellence, research innovation, and community engagement has earned him respect and acknowledgment at both national and international levels. Such achievements signify his outstanding professional standing and underscore why he is a strong candidate for this award.

Selected Publication

• Reinforcement learning based on multi agent value distribution for beamforming optimization in cellular networks (Published: 2021, Citations: 45).

• Optimization of computational efficiency in IoT based on joint assistance of ARIS and UAV in MEC systems (Published: 2022, Citations: 32).

• Energy efficient resource allocation strategy for wireless sensor networks using reinforcement learning (Published: 2020, Citations: 56).

• Dynamic routing algorithm for IoT enabled smart environments through machine learning optimization (Published: 2019, Citations: 61).

Conclusion

In conclusion, Assoc. Prof. Dr. Zhibin Liu exemplifies academic excellence, research innovation, and leadership in the field of computer science. His contributions to IoT systems, reinforcement learning, and wireless network optimization have had significant influence, both in advancing knowledge and in enabling applications that address complex challenges in communication and computing. His achievements in research, combined with his dedication to mentoring students and leading collaborations, reflect his strong leadership qualities. With his consistent record of high-quality publications, international collaborations, and commitment to innovation, Assoc. Prof. Dr. Zhibin Liu is an outstanding candidate for this award. His future endeavors hold immense potential to shape the evolution of intelligent systems and contribute meaningfully to the global academic and scientific community.