2026 3rd International Conference on Signal Processing and Neural Network Applications (SPNNA 2026)
The 2026 3rd International Conference on Signal Processing and Neural Network Applications (SPNNA 2026) was held in Nanchang, Jiangxi, from October 30 to November 1, 2026, and was a resounding success. The conference was jointly organized by Nanchang University and Shangrao Normal University, and hosted by the School of Information Engineering at Nanchang University, the Jiangxi Provincial Key Laboratory of Applied Optical Technology at Shangrao Normal University, and the Jiangxi Provincial Key Laboratory of Advanced Signal Processing and Intelligent Communications. AiScholar provided comprehensive technical support and conference services throughout the event. The conference adopted a hybrid format, bringing together experts, scholars, and young researchers from universities and research institutions both domestically and internationally to engage in in-depth academic discussions and exchange research findings on cutting-edge fields such as signal processing and neural network applications.
Group Photo
The opening ceremony of the conference was presided over by Prof.Dingcheng Yang, Vice Dean of the School of Information Engineering at Nanchang University. Prof.Shuai Ma, Vice President of Nanchang University, delivered a welcome address on behalf of the organizing committee, extending a warm welcome to the experts and scholars in attendance as well as to all participants, both online and offline. He explained that this conference focuses on key scientific issues in fields such as signal processing and neural network applications, serving as a platform for international academic exchange. Drawing on Nanchang University’s strength in interdisciplinary integration, the conference highlights the innovative value of signal processing and neural network technologies in scenarios such as intelligent sensing, multimodal information processing, smart healthcare, and intelligent manufacturing. He expressed his hope that participating experts would speak freely to foster mutual advancement between fundamental algorithm research and practical industrial applications, while promoting inter-institutional and cross-regional scientific collaboration and the development of young talent.
Five renowned domestic experts were invited to deliver keynote presentations at this conference. These included Prof.Cunhua Pan from Southeast University, a National-Level Young Talent and a Clarivate Highly Cited Researcher; Prof.Tao Lei from Fuzhou University, listed among the top 2% of scientists globally by Stanford University; Prof.Mingjie Feng from Huazhong University of Science and Technology, selected for the National Overseas High-Level Youth Talent Program; Prof.Haixia Peng from Xi’an Jiaotong University, selected for the National-Level Young Talent Program; and Dr. Jianhua Tang, Chief Expert at Shenzhen Smart City Group. The participating experts shared the latest research advances and academic insights in fields such as signal processing and neural network applications. The event featured in-depth on-site discussions and a vibrant academic atmosphere. The following is a recap of the presentations:
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In addition to the keynote presentations, the conference featured oral presentations, poster sessions, and online breakout sessions. Topics covered high-dimensional and adaptive signal processing, biomedical and communications signal processing, multisensor data fusion, as well as hot areas such as the applications of deep learning, convolutional neural networks, and recurrent neural networks in image processing, sequence data, medical image analysis, and edge computing. The event was marked by lively exchanges of ideas, a vibrant atmosphere, and enthusiastic interaction, resulting in a rich and dynamic academic exchange. These achievements not only reflect the scholars’ in-depth exploration and innovative practices in this field but also inject new vitality and momentum into its development.
As an annual international academic conference, SPNNA is committed to building an open academic community for researchers, engineers, and students both domestically and internationally. The successful hosting of SPNNA 2026 has fostered a deep integration of cutting-edge theories and applied technologies. We look forward to witnessing everyone’s achievements and progress in even more fields in the future. Let us remain true to our original aspirations, work hand in hand, and jointly advance the development of signal processing and neural network applications.