Hybrid -- Registered authors can present their work online or face to face New
The 13th International Conference on Signal and Image Processing (Signal 2026) provides a premier global forum for presenting the latest advances, research findings and emerging innovations in Digital Signal and Image Processing. As these fields continue to evolve at an extraordinary pace, driven by breakthroughs in machine learning, computer vision, computational imaging, and multimodal AI, Signal 2026 brings together leading researchers, engineers, and scientists from around the world to exchange ideas, explore new directions, and shape the future of the discipline.
The conference covers the full spectrum of theoretical foundations, methodological developments, and practical applications across Signal Processing, Image Processing, and Pattern Recognition. By fostering collaboration between academia, industry, and research institutions, Signal 2026 aims to accelerate progress in both fundamental research and real world deployment of advanced signal and imaging technologies.
Authors are invited to contribute high quality submissions that present original research results, innovative projects, comprehensive surveys, and industrial case studies demonstrating significant advances in the field. Contributions may address, but are not limited to, the broad range of topics outlined below.
Topics of interest
Authors are invited to submit papers through the conference Submission System by May 23, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed).
Selected papers from Signal 2026, after further revisions, will be published in the special issue of the following journals.
Important Dates
Second Batch : submissions after May 11, 2026
Paper Submission
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Invited Talk

Prof. Saroja Kanchi
Kettering University
USA

Prof. Natarajan Meghanathan
Jackson State University
USA