On December 27, 2025, the 2nd International Conference on Pattern Recognition and Image Analysis, hosted by Zhengzhou University of Light Industry, successfully concluded in Zhengzhou. The three-day conference brought together dozens of experts and scholars from universities and research institutions across China, Jordan, Greece, Saudi Arabia, the United Kingdom, and other countries. Participants engaged in in-depth academic exchanges and intellectual discussions on cutting-edge topics including pattern recognition, computer vision, artificial intelligence, and their cross-disciplinary applications.
As a major international academic gathering in this field, PRIA 2025 has garnered widespread attention from scholars worldwide. The opening ceremony was presided over by Professor Huang Min, Dean of the School of Software Engineering at Zhengzhou University of Light Industry. During the ceremony, Yang Xinyu, Deputy Secretary of the Party Committee at Zhengzhou University of Light Industry, delivered an address warmly welcoming scholars from home and abroad. He elaborated on the conference's significant role in advancing innovation and development within the fields of artificial intelligence and information technology. Adopting a hybrid online-offline format, the event successfully established a high-level, international academic dialogue platform through diverse formats including keynote presentations, invited speeches, and poster sessions.
One of the highlights of the conference was its impressive lineup of keynote presentations. Six experts and scholars from top domestic and international institutions shared their latest research findings and industry insights. IEEE Life Fellow Professor Mohammad S. Obaidat from the University of Jordan delivered the opening keynote titled “Emerging Trends in Artificial Intelligence and Examples of Our Recent Work,” offering a high-level overview of challenges and recent advancements in AI/ML across critical domains such as cybersecurity, intelligent healthcare, and the Internet of Things. On the application front, Researcher Yang Lei from Zhengzhou University shared “Progress in Intelligent Perception for Laparoscopic Surgical Robots,” demonstrating how computer vision empowers precision medicine and ensures surgical safety. Professor Philippe Fournier-Viger from Shenzhen University focused on data mining, exploring automated discovery of interesting patterns in complex datasets and introducing applications of his widely cited open-source data mining library SPMF. Associate Professor Deepak Kumar Jain from Dalian University of Technology conducted an in-depth analysis of facial expression analysis techniques from macro to micro levels, introducing explainable AI (XAI) frameworks to enhance the reliability and transparency of biometric systems. Additionally, Associate Professor Dimitrios A. Karras from the National and Kapodistrian University of Athens proposed an innovative framework to enhance AI model reliability, while Associate Professor Guo Yanbu from Zhengzhou University of Light Industry explored the pivotal role of neural networks in systems biology. These presentations, spanning theoretical breakthroughs to industrial applications, comprehensively outlined the vast landscape of pattern recognition and image analysis technologies.
In addition to keynote presentations, the conference featured multiple oral presentation sessions. Attendees engaged in lively discussions on specific topics including “AI Algorithm Optimization,” “Image Processing Applications in Industrial Inspection,” and “Multimodal Information Fusion.” During the event, the organizing committee also arranged a poster session, providing young scholars and graduate students with a valuable opportunity to showcase their innovative research and engage in face-to-face exchanges with senior experts.
The successful hosting of this conference not only showcased the latest research developments in global pattern recognition and image analysis but also further strengthened the close ties between Zhengzhou University of Light Industry and the international academic community. The event provided a premier platform for scholars worldwide, particularly young researchers, to engage in direct dialogue with leading international experts and explore collaborative opportunities. As the primary organizing unit, the School of Software Engineering at Zhengzhou University of Light Industry ensured the conference's smooth operation through meticulous preparation and thoughtful arrangements. In recent years, the School has deepened its expertise in software engineering, artificial intelligence, big data, and related fields, undertaking multiple national and provincial-level key research projects while actively promoting industry-academia-research collaboration. Hosting this international conference fully demonstrates the School's disciplinary strength in cutting-edge computing, its global perspective, and its commitment to serving local and industrial development, effectively enhancing the university's influence within relevant international academic circles. The successful conclusion of PRIA 2025 marks the end of one phase and the beginning of new collaborations. The wisdom and consensus gathered at the conference will inject fresh momentum into the future development of global pattern recognition and image analysis technologies, while also laying a solid foundation for the internationalization and high-level advancement of relevant disciplines at Zhengzhou University of Light Industry.
Report on the official website of Zhengzhou University of Light Industry: https://soft.zzuli.edu.cn/2026/0104/c5933a344104/page.htm