2026 9th International Conference on Signal Processing and Machine Learning
As the integration of signal processing and machine learning deepens, this interdisciplinary field is experiencing rapid advancements. The emergence of deep learning has significantly enhanced the automation and intelligence of signal analysis, achieving remarkable breakthroughs in domains such as audio processing, image recognition, and medical diagnostics. Simultaneously, multimodal data fusion and AI-driven signal analysis have emerged as critical trends. However, challenges such as limited model interpretability, robustness against noise and distributional shifts, and adaptability in resource-constrained environments remain pressing issues, necessitating further research and practical exploration.
To address these challenges and foster progress in the field, 2026 9th International Conference on Signal Processing and Machine Learning (SPML) will be held in Hangzhou, China during 10-12 July, 2026. It is co- sponsored by Hangzhou Dianzi University, China and IEEE, co-hosted by China University of Mining and Technology, China, Inner Mongolia University, China and Xijing University, China. And Tianjin University of Science and Technology, China, Shanxi University, China, Shandong University of Science and Technology, China, Newcastle University in Singapore, Singapore, Taylor's University, Malaysia and Tianjin Research Institute for Water Transport Engineering M.O.T, China, Haiweitong Network Technology Co., Ltd., China, University of the Fraser Valley, Canada
and Universiti Tunku Abdul Rahman, Malaysia are the patrons. SPML aims to provide a premier platform for global researchers, industry experts, and practitioners to exchange cutting-edge insights and explore future directions. The conference will focus on key topics such as audio and image processing, multimodal data fusion, and AI-driven signal analysis, while addressing critical bottlenecks and innovative solutions. Through high-level workshops, panel discussions, and keynote speeches, SPML will promote interdisciplinary collaboration and technological innovation, injecting fresh momentum into the field’s development and advancing the application of signal processing and machine learning across various industries.