Keynote Speakers

DeepSeek Artificial Intelligence Large Model and Applications

Prof. Jucheng Yang
Guangxi Academy of Artificial Intelligence，Guilin University of Electronic and Technology, China

Abstract:
The topic presents the transformative power of artificial intelligence large models and their vast applications. We will journey from the evolution of AI into its current, third generation—a powerful synergy of knowledge and data—to the core of our discussion: the rise of large language models, defined by their unprecedented scale and capability. The presentation will provide a landscape of leading global and domestic models, including the cost-effective, high-performance DeepSeek series, and then delve into their revolutionary impact across industries, from automated customer service and intelligent healthcare to personalized education and beyond. We will conclude by looking ahead at future trends toward more robust, scalable, and trustworthy AI, framing large models as the cornerstone of next-generation technological innovation.

Short Bio:
Jucheng Yang is a professor with the School of Computer Science and Information Security, Guilin University of Electronic and Technology, and is the dean of Guangxi Academy of Artificial Intelligence. His research interests include image processing and pattern recognition, artificial intelligence, computer science, and smart agriculture. He was the editor or reviewer for international journals, such as IEEE Transactions on Information Forensics and Security and IEEE Transactions on Industrial Informatics.

Eco-Innovation and Smart Technologies

Prof. Syed Abdul Rehman Khan, PhD
School of Engineering and Management, Xuzhou University of Technology

Abstract:
Recently, there has been an unprecedented rise in global environmental degradation, prompting practitioners, researchers, and policymakers to adopt smart technologies to achieve sustainable outcomes. The empirical findings provide valuable insights for researchers, policymakers, and managers in developing strategies, policies, procedures, and business models that promote sustainable development. These findings contribute to the rapid advancement of organizations, enabling them to improve their operations by integrating digital technologies with environmental protection policies, ultimately leading to sustainability. Overall, the study offers important insights for firms to enhance their efficiency through digital technologies while ensuring environmental sustainability.

Short Bio:
Meet Syed, a distinguished research scholar specializing in digital technologies for sustainability and green management. He currently serves as Full Professor at Xuzhou University of Technology. Syed has been honored three times with the prestigious title of World Top 2% Highly Cited Researcher. With an impressive portfolio of nearly 200 high-level academic papers and seven published academic books on smart technologies in sustainable business operations, Syed has led several research funding projects. He is also a sought-after keynote speaker, invited speaker, and conference chair at over 50 international academic conferences. Syed's expertise and influence in the field are unparalleled.

Integrated analysis of whole-body PET/CT image

Prof. Tao Sun
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences

Abstract:
The invention of total-body PET is a significant milestone in the field of nuclear medicine. Due to their ultra-high sensitivity and extensive coverage, these systems make it possible to reveal dynamic physiological changes throughout the entire body for the first time. However, to promote this cutting-edge technology more widely, we must overcome the obstacles it faces in existing clinical applications. In this presentation, I will first introduce how to address the technical challenges of total-body PET faced by our clinical partners. Subsequently, I will share some of our ongoing efforts specifically focused on performing integrated analysis of whole-body PET/CT images and applying them in accurate cancer diagnosis and prognosis. 

Short Bio:
Dr. Tao Sun's primary research focuses on innovations in PET/CT and PET/MR imaging methods, particularly in improving quantitative accuracy, optimizing scanning protocols, and enhancing differential diagnosis. His work has been successfully applied in multiple clinical scenarios and has been cited by the industry on several occasions. He has published 26 papers as first or corresponding authors in international journals such as European Journal of Nuclear Medicine and Molecular Imaging, IEEE Transactions on Medical Imaging, Cerebral Cortex, Cancer Imaging. He currently serves as Associate Editor of Physical and Engineering Sciences in Medicine and is a youth editorial board member of iRadiology and Phenomics. His achievements have earned him recognitions such as the SNMMI “Ones to Watch” and the First Prize of the Henan Provincial Science and Technology Progress Award. His supervised master’s students received honors including the CASNMMI Young Investigator Award and the Best Abstract Award at the National PET/MR Conference.