CONF-SPML 2026
The 6th International Conference on Signal Processing and Machine Learning (CONF-SPML 2026) was a hybrid conference which includes several symposium series (offline and online) around the world.Dr. Guozheng Rao from Tianjin University, Dr. Marwan Omar from Illinois Institute of Technology, have chaired these symposium series on related topics. CONF-SPML 2026 provided the participants with good opportunities to exchange ideas and build networks, and it will lead to further collaborations between both universities and other societies.
Symposium Series
Tianjin University
Symposium Chair: Dr. Guozheng Rao, Associate Professor in Tianjin University
The symposium on Neural Computation and Applications brought together researchers and practitioners to explore recent advances in neural computation, large language models, knowledge graphs, and data-driven intelligent systems. The symposium provided a vibrant forum for presenting cutting-edge theoretical developments alongside practical applications across multiple domains.
Key discussions focused on continual knowledge graph learning, logic-enhanced large language models, and reliable AI reasoning. Several studies addressed fundamental challenges such as catastrophic forgetting in dynamic knowledge graphs, improving factual verification through multi-agent debate frameworks, and enhancing the interpretability and reliability of AI systems in complex reasoning tasks, including medical decision support. Advances in misinformation and rumor detection were also highlighted, with innovative approaches targeting cross-source, multimodal, and low-resource language scenarios, reflecting the growing need for robust AI solutions in real-world information ecosystems.
In addition to foundational research, the symposium showcased applied studies in intelligent optimization and sustainable systems, including logistics optimization, low-carbon supply chain management, and ESG-oriented resilience assessment. These contributions demonstrated how neural computation and data science methods can effectively support green development and industrial transformation.
Overall, the symposium highlighted the strong integration of methodological innovation and application-driven research, offering valuable insights into emerging trends and future directions in neural computation and machine learning.
Online Session
The online session of the International Conference on Signal Processing and Machine Learning (CONF-SPML 2026) was held on February 04, 2026. Dr. Marwan Omar from the Illinois Institute of Technology, Dr. Jie Zhang from University of Bath, Dr. Roman Bauer from University of Surrey, and Dr. Mian Umer Shafiq from Nazarbayev University have given keynote speeches on related topics of machine learning, deep learning, etc.
Highlights
Videos
You can find the Youtube Playlist of online session Here.
Publications
Conference proceedings
Accepted papers of CONF-SPML 2026 have been published in Applied and Computational Engineering (Print ISSN 2755-2721), and have been submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Inspec, Google Scholar, CNKI, and other databases for indexing.
Title: Applied and Computational Engineering (ACE)
Press: EWA Publishing
ISSN: 2755-2721 (Print) 2755-273X (electronic)