The 6^th International Conference on Signal, Image Processing and Communications (ICSIPC 2026), together with the Special Symposium on Low-Altitude Intelligent Connectivity Networks and Electromagnetic Spectrum Intelligence, was held at Nanchang University on April 25, 2026.Under the guidance of the Jiangxi Provincial Radio Office, the conference was hosted by Nanchang University and Shangrao Normal University, organized by the School of Information Engineering at Nanchang University, and supported by the Jiangxi Provincial Key Laboratory of Advanced Signal Processing and Intelligent Communications and the Jiangxi Provincial Key Laboratory of Applied Optical Technology. The conference was chaired by Professor Dingcheng Yang, Vice Dean of the School of Information Engineering at Nanchang University.

Professor Dan Wu, Vice President of Nanchang University, delivered the opening address. He noted that Nanchang University, as Jiangxi Province’s only university included in China’s national “Double First-Class” initiative, has remained committed to serving national strategies and regional development. He highlighted the university’s distinctive strengths in information and communication engineering. Focusing on low-altitude intelligent connectivity networks and electromagnetic spectrum intelligence, the conference closely aligned with the low-altitude economy, an emerging driver of new quality productive forces being promoted at the national level. It provided a platform for academic exchange on key issues including efficient spectrum utilization, intelligent monitoring, and collaborative management and control. Professor Wu expressed his gratitude for the support extended to Nanchang University from various sectors and said the university would continue to promote academic innovation, industrial implementation, and the high-quality development of Jiangxi’s low-altitude economy.

Director Yao Zhao of the Radio Management Division of the Jiangxi Provincial Department of Industry and Information Technology then delivered remarks on behalf of the Jiangxi Provincial Radio Office. He emphasized that radio spectrum is the “invisible lifeline” of the low-altitude economy. As Jiangxi accelerates the development of emerging applications such as low-altitude flight and unmanned aerial vehicle logistics, low-altitude application scenarios are moving rapidly toward deployment. Director Zhao noted that traditional spectrum management models can no longer meet the fast-growing demand for spectrum resources, making intelligent technical support increasingly urgent. The Jiangxi Provincial Radio Office, he said, will continue to optimize spectrum resource allocation, strengthen low-altitude spectrum monitoring and interference mitigation, and promote collaborative innovation among government, industry, universities, research institutions, and application sectors. He also expressed the hope that participating experts would deepen research and joint exploration in areas such as efficient spectrum planning, intelligent monitoring, and integrated space-air-ground collaborative management and control, transforming academic advances into deployable technical solutions for Jiangxi’s low-altitude economy.

The conference featured keynote and invited talks by leading scholars, including Professor Yuanwei Liu, Tenured Professor at The University of Hong Kong; Professor Yong Zeng, Young Chief Professor at Southeast University; Professor Nan Zhao, National-level Talent at Dalian University of Technology; Professor Fuhui Zhou, National Young Talent Program recipient at Nanjing University of Aeronautics and Astronautics; Associate Professor Jie Xu, Presidential Scholar at The Chinese University of Hong Kong, Shenzhen; and Professor Tiankui Zhang of Beijing University of Posts and Telecommunications. The six speakers presented recent advances in image and signal processing, intelligent communications, low-altitude intelligent connectivity networks, and electromagnetic spectrum technologies. Their talks addressed topics including site-specific learning for next-generation spatial intelligence; channel knowledge map, or CKM, empowered non-line-of-sight sensing and localization in complex low-altitude environments; theories and methods for low-altitude covert communications; electromagnetic large-model-enabled spectrum cognition and decision-making; CKM-enabled predictive communications, channel estimation, and network planning; and resource allocation for mobile edge computing systems toward edge inference. The presentations generated active discussion among participants and contributed to a strong academic atmosphere.

Held in a hybrid format, the conference attracted more than 200 participants. More than 20 experts and scholars from universities, research institutes, and enterprises, including the National University of Defense Technology, Harbin Institute of Technology, Nanjing University of Aeronautics and Astronautics, the University of Electronic Science and Technology of China, the China Academy of Space Technology, and Wasion Group Limited, delivered presentations and showcased their research achievements. Online participants also engaged in real-time discussions, creating an active atmosphere for remote academic exchange. The conference also included evaluation sessions for papers and oral presentations. Based on academic originality, research significance, and presentation quality, the review committee conducted a rigorous assessment of the submissions and selected seven awardees for Best Paper, Best Oral Presentation, and Best Poster.

ICSIPC 2026 showcased recent research progress and further promoted the integration of government, industry, academia, research, and application. The conference provided important academic support and policy-relevant insights for the high-quality development of Jiangxi’s low-altitude economy. Looking ahead, under the guidance of the Jiangxi Provincial Radio Office, Nanchang University will continue to deepen cooperation, advance discipline development and technological innovation, and enhance its academic influence in related fields.