Assoc. Prof. Dr. Haining Xiao | Intelligent Manufacturing | Best Researcher Award
Assoc. Prof. Dr. Haining Xiao | Yancheng Institute of Technology | China
Xiao Haining is a dedicated scholar in the field of mechanical and intelligent manufacturing systems, recognized for his strong contributions to multi-robot system optimization and control. He currently serves as an Associate Professor in the Department of Intelligent Manufacturing at Yancheng Institute of Technology, where he leads academic and research initiatives that intersect mechanical engineering and intelligent automation. With a career marked by consistent academic progression, Dr. Xiao has developed a professional identity centered on applied robotics, collaborative automation, and advanced control strategies in intelligent manufacturing environments. His deep-rooted commitment to interdisciplinary integration has helped in shaping emerging technological landscapes and advancing automation practices in industrial settings.
Professional Profile:
ORCID
Summary of Suitability
Dr. Xiao Haining is a highly qualified and dedicated researcher in the field of mechanical engineering, with a focused specialization in the optimization and control of multi-robot systems. His academic background and professional trajectory demonstrate a consistent commitment to advancing intelligent manufacturing technologies.
Education
Xiao Haining began his academic journey by earning a Bachelor of Engineering degree in Mechanical Engineering from Yancheng Institute of Technology. His pursuit of deeper technical knowledge and research excellence led him to complete a Doctorate in Mechanical Engineering at Nanjing University of Aeronautics and Astronautics. During his doctoral training, he developed a strong foundation in automation theory, system dynamics, and mechanical design optimization, which would become central to his later research efforts. His education equipped him with both theoretical insights and practical tools essential for solving complex industrial automation challenges, forming the basis for his innovative contributions to multi-robot coordination and control.
Professional Experience
Currently positioned as an Associate Professor at Yancheng Institute of Technology, Dr. Xiao has spent several years in academia where he has blended teaching, mentoring, and research leadership. His role involves the supervision of graduate projects, collaborative research with industry, and active participation in the development of intelligent manufacturing curricula. In his academic career, he has contributed to several collaborative projects in mechanical automation, focusing particularly on multi-robot system configurations and adaptive control techniques. His professional trajectory reflects a balanced commitment to pedagogy and research, with an emphasis on bringing laboratory innovation to industrial applications.
Research Interest
Dr. Xiao’s primary research interest lies in the optimization and control of multi-robot systems within intelligent manufacturing frameworks. His work addresses the growing demand for efficient robotic collaboration, path planning, and task allocation in automated production lines. He investigates control algorithms, coordination protocols, and optimization models that enhance the performance and reliability of robot collectives operating in dynamic environments. His approach is multidisciplinary, integrating elements of control theory, machine learning, and mechanical system design. This focus positions his work at the intersection of robotics, artificial intelligence, and industrial automation, contributing to the development of smarter and more adaptable manufacturing processes.
Awards
Throughout his academic career, Dr. Xiao has received multiple recognitions for excellence in research and teaching. He has been honored with institutional awards for outstanding faculty performance, and his contributions to collaborative robotics have been acknowledged in provincial-level innovation competitions. His leadership in robotics research has also been highlighted through invitations to speak at national technical forums and his role in funded research projects aimed at advancing smart manufacturing practices.
Publication Top Notes
Task Travel Time Prediction Method Based on IMA-SURBF for Task Dispatching of Heterogeneous AGV System
Conclusion
Dr. Xiao Haining exemplifies academic excellence and innovation in the field of intelligent manufacturing and robotics. His balanced contribution to research, teaching, and technological development marks him as a significant figure in advancing multi-robot systems and control strategies. With a solid educational background, strong publication record, and recognized awards, he continues to drive impactful research that addresses practical challenges in automated manufacturing systems. His career demonstrates a sustained commitment to improving robotic collaboration and adaptability in complex environments, making him a deserving candidate for distinguished academic recognition.