Welcome to CSIP 2026

13th International Conference on Signal Processing (CSIP 2026)

September 26 ~ 27, 2026, Toronto, Canada

Hybrid--Registered authors can present their work online or face to face New

Program Committee

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Accepted Papers

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Copenhagen, Denmark

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Scope

13th International Conference on Signal Processing (CSIP 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Signal and Image Processing. The Conference looks for significant contributions to all major fields of the Signal and Image Processing in theoretical and practical aspects.

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Call for Papers


The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Signal and Image Processing. The Conference looks for significant contributions to all major fields of the Signal and Image Processing in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:

Topics of interest include, but are not limited to, the following


  • Advanced digital signal processing algorithms
  • Statistical, adaptive and nonlinear signal processing
  • Sparse signal processing and compressed sensing
  • Multirate, multiresolution and wavelet processing
  • Time frequency analysis and spectral estimation
  • Deep learning for signal, image, audio and video
  • Transformers and foundation models for multimodal signals
  • Signal domain finetuning, adapters and LoRA
  • Self supervised and unsupervised representation learning
  • Generative AI: diffusion, NeRF and neural rendering
  • Implicit neural representations and neural fields
  • Event based, neuromorphic and spiking signal processing
  • Event RGB/audio fusion and high speed neural sensing
  • Computational imaging and computational photography
  • 3D imaging, depth sensing and volumetric reconstruction
  • Multimodal imaging (RGB D, thermal, hyperspectral)
  • Image/video analysis, understanding and restoration
  • Speech enhancement, separation and dereverberation
  • Audio signal processing and acoustic modeling
  • Speech recognition, synthesis and voice conversion
  • LLM augmented speech, audio and language processing
  • Music information retrieval and audio scene analysis
  • Signal processing for 5G/6G communications
  • Neural compression, semantic communication and generative codecs
  • MIMO, beamforming and massive antenna systems
  • Cognitive radio and spectrum sensing
  • Satellite, IoT and edge communication signal processing
  • AI driven sensing, radar, sonar and RF processing
  • AI native RF fingerprinting and neural channel modeling
  • Sensor fusion, SLAM and perception for autonomous systems
  • Signal processing for robotics, drones and autonomous vehicles
  • Bio signal processing (EEG, ECG, neural signals)
  • Brain–computer interface (BCI) signal processing
  • AI driven medical imaging and biomedical reconstruction
  • Multimodal biomedical fusion (MRI CT PET)
  • Remote sensing, satellite imaging and hyperspectral processing
  • Geospatial AI and environmental signal processing
  • Climate signal modeling and environmental monitoring
  • Multimodal retrieval, vector database indexing and semantic search
  • AI driven media restoration and super resolution
  • Neural codecs, streaming and real time media delivery
  • Real time signal processing systems
  • On device ML, TinyML and embedded signal processing
  • FPGA/GPU acceleration for signal processing
  • Real time generative signal pipelines
  • Adversarial robustness in signal models
  • Privacy preserving signal processing
  • Secure signal processing under adversarial noise
  • Signal driven digital twins and neural surrogate modeling

Paper Submission

Authors are invited to submit papers through the conference Submission System by August 15, 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 in Computer Science & Information Technology (CS & IT) series (Confirmed).

Important Dates

Second Batch : submissions after July 13, 2026
Submission Deadline

August 15, 2026

Authors Notification

August 25, 2026

Registration & camera - Ready Paper Due

September 01, 2026

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Sponsors