Important Dates
| Workshop Paper Submission Deadline | October 22, 2025 |
| Workshop Paper Acceptance Notification | December 10, 2025 |
| Workshop Camera Ready Paper Deadline | January 7, 2026 |
All satellite workshops will take place on May 4, 2026 and will be full day workshops.
NOTE: The organization reserves the right to amend this schedule should unforeseen circumstances arise.
Workshop 1: Robust computational imaging algorithms for inverse problems with coherent X-rays (IPCX)
Organizers: Marcus Carlsson, Rajmund Mokso, Viktor Nikitin, Doga Gursoy
Location: TBD
Website: https://sites.google.com/view/icassp-ipcx2025/home
Submission Link: https://cmsworkshops.com/ICASSP2026/Papers/Submission.asp?Type=WS&ID=1
Abstract: This workshop will explore emerging challenges and opportunities in inverse problems arising from coherent X-ray imaging, with a focus on cutting-edge techniques such as near- and far-field ptychography, phase contrast imaging, and holography—including their three-dimensional extensions via tomography. These imaging modalities, widely used at synchrotron light sources and increasingly beyond, pose a host of mathematical and computational challenges related to phase retrieval, partial coherence, structured and coded illumination, and high-resolution 3D reconstructions. A central theme of the workshop is bridging algorithmic innovation with real-world constraints, such as massive data volumes, hardware limitations, and stability issues induced by geometrical obstacles, uncertainty issues and missing data.
We aim to bring together experts from the signal processing and synchrotron imaging communities to foster dialogue and collaboration. Special attention will be given to scalable optimization frameworks, computational efficiency, and robust algorithm design in light of practical application needs. By focusing on both the mathematical underpinnings and experimental realities, the workshop will create a fertile ground for interdisciplinary exchange and inspire new directions in high-resolution inverse imaging.
Workshop 2: Bridging MIMO Signal Processing, Hardware Design, and Physically Consistent Modeling
Organizers: Italo Atzeni, George C. Alexandropoulos, Robert W. Heath Jr.
Location: TBD
Website: https://www.6gflagship.com/event/mimo-hardware-modelling-workshop-icassp-2026/
Submission Link: https://cmsworkshops.com/ICASSP2026/Papers/Submission.asp?Type=WS&ID=2
Abstract: Massive multiple-input multiple-output (MIMO) is a cornerstone of modern wireless systems and is set to play an even greater role in 6G and beyond. As these systems evolve, extremely large MIMO (XL-MIMO) and holographic MIMO are emerging as key technologies. XL-MIMO leverages physically large, dense antenna arrays with thousands of elements with sub-wavelength spacing to achieve unprecedented spectral and energy efficiency, while holographic MIMO replaces traditional arrays with continuous surfaces capable of full electromagnetic (EM) wave manipulation. These paradigms demand physically consistent models grounded in circuit and EM theory, moving beyond the simplifications traditionally used in wireless communications. This full-day workshop will explore the integration of MIMO signal processing, hardware design, and physically consistent modeling, highlighting the need for both hardware-aware algorithm design and algorithm-aware hardware architectures. It offers a multidisciplinary perspective on the challenges and opportunities of operating at the interface of signal processing and physical-layer realism. The program features invited talks from leading researchers in academia and industry, contributed presentations published in the conference proceedings, and a panel discussion on future research directions.
Workshop 3: Low-Resource Audio Codec (LRAC) Workshop
Organizers: Kamil Wojcicki, Yusuf Isik, Laura Lechler, Ivana Balic, Mansur Yesilbursa, Guoqing Zhang, Wolfgang Mack, Rafał Łaganowski, Shinji Watanabe, Minje Kim, Yossi Adi
Location: TBD
Website: https://crowdsourcing.cisco.com/lrac-workshop/2026/
Submission Link: https://cmsworkshops.com/ICASSP2026/Papers/Submission.asp?Type=WS&ID=3
Abstract: The growing demand for speech interfaces across a wide range of resource-constrained environments requires speech codecs that are efficient in compute, bitrate, and latency, while also delivering high-quality speech in real-world conditions. Although recent neural coding methods excel at optimizing for each individual constraint, addressing all three simultaneously remains an open challenge.
The first edition of the Low-Resource Audio Codec Challenge aims to advance the state-of-the-art by fostering research on neural speech codecs under joint resource constraints, including realistic noise and reverberation. This edition will also explore the combination of speech enhancement and coding, provide datasets for crowdsourced evaluation to support comparable and reproducible research, and share insights into the effectiveness of objective metrics across real-world conditions.
Outcomes will be disseminated through the ICASSP 2026 Satellite Workshop and related publications. Beyond its primary goal of advancing resource-constrained coding, we anticipate the workshop will yield broader insights across adjacent fields. This is because, beyond telecommunications, neural codecs may act as universal feature learners for downstream tasks, making them of strong utility, for example, in on-device spoken dialog systems and multimodal language models. Their capabilities position them at the intersection of ML, AI, NLP, and CV, making them broadly relevant across disciplines.
Workshop 4: Quantum Machine Learning in Signal Processing and Artificial Intelligence
Organizers: Joongheon Kim, Soohyun Park, Jun Qi, Min-Hsiu Hsieh, Huan-Hsin Tseng, Shinjae Yoo, Hsin-Yi Lin, Nouhaila Innan, Alberto Marchisio, Samuel Yen-Chi Chen
Location: TBD
Website: https://sites.google.com/view/qmlicassp2026/home
Submission Link: https://cmsworkshops.com/ICASSP2026/Papers/Submission.asp?Type=WS&ID=4
Abstract: The rapid evolution of quantum computing, particularly in the Noisy Intermediate-Scale Quantum (NISQ) era, has opened new opportunities at the intersection of quantum information science, machine learning, and signal processing. Among the various algorithmic paradigms, Variational Quantum Algorithms (VQAs) have emerged as a promising approach for leveraging near-term quantum devices, thanks to their hybrid quantum-classical structure and partial noise resilience. This workshop will explore the frontier of VQA-based quantum machine learning (QML) models, with an emphasis on signal processing-inspired architectures and learning tasks. In particular, we will highlight emerging applications in biomedical signal processing, including quantum-enhanced models for biosignal classification, time-series forecasting, and neural signal decoding. By bringing together researchers from quantum computing, signal processing, artificial intelligence, and physics, the workshop aims to foster interdisciplinary exchange, showcase recent advances in quantum-enhanced learning algorithms, and assess their potential impact on real-world applications. The program will feature invited talks, contributed papers, and panel discussions that highlight the synergies between quantum algorithms and signal processing techniques.
Workshop 5: Speech, Music and Mind 2026 (SMM26)
Organizers: Meghna Pandharipande, Subhrojyoti Roy Chaudhuri, Dr. Venkata Subramanian Viraraghavan
Location: TBD
Website: https://smm26.iiit.ac.in/
Submission Link: https://cmsworkshops.com/ICASSP2026/Papers/Submission.asp?Type=WS&ID=5
Abstract: The aim of this workshop is to bring the potential of speech processing techniques into the practices of preventive care for mental and physical wellbeing utilizing knowledge from music therapy and music psychology. The goal of the workshop is to further the state of art in developing multi-modal indicators to help in understanding physiological and psychological conditions for building solutions towards physical and mental well-being across geographies and cultures.
The solutions are primarily rooted in language and music centric themes. Approaches of Ethical and Explainable AI in music and speech are a special focus for this year’s proposed workshop.
Workshop 6: Multimodal Signal Processing for Attentional Resource Cognition (M-SPARC): Modeling Eye, Brain, Speech, and Behavioral Signals for Cognitive Resource Allocation
Organizers: Per Bækgaard, Sofie Beier, Ashkan Tashk, C. M. Aqdus Ilyas.
Location: TBD
Website: https://msparc.compute.dtu.dk/
Submission Link: https://cmsworkshops.com/ICASSP2026/Papers/Submission.asp?Type=WS&ID=6
Abstract: This workshop explores how multimodal signal processing can advance our understanding of attentional resource allocation in human cognition. Attention is the brain’s core mechanism for managing limited cognitive resources across multiple information streams. By integrating signals from brain activity (EEG/fMRI), eye movements, pupilometry, speech, and behavior, we can build comprehensive models of how cognitive resources are distributed and modulated in real time.
The workshop brings together signal processing experts, cognitive neuroscientists, and human-computer interaction (HCI) researchers to address key questions: How can we measure and predict cognitive resource allocation from multimodal signals? How do different modalities interact during attention allocation? Can we design interventions that optimize the distribution of cognitive resources? How can eye tracking “in the wild” support acoustic processing by revealing cognitive states?
We will explore algorithms for detecting attentional states, predicting cognitive overload, and building adaptive systems that respond to users’ cognitive capacity.
Key topics include multimodal markers of attention, real-time cognitive monitoring, attention-aware processing for hearing aids and AR/VR, cognitive load balancing in multitasking, and applications in education, productivity, and clinical settings. The workshop aims to define signal-processing frameworks for understanding and enhancing how humans allocate their limited cognitive resources.
Workshop 7: Multi-Modal Signal Processing and AI for Communications and Sensing in 6G and Beyond (MuSiC-6GB)
Organizers: Davide Dardari, Petar Djuric, Anna Guerra, Francesco Guidi, Siwei Zhang, Pau Closas
Location: TBD
Website: https://music-6gb.weebly.com/
Submission Link: https://cmsworkshops.com/ICASSP2026/Papers/Submission.asp?Type=WS&ID=7
Abstract: The advent of 6G and Beyond (6G&B) technologies promises unprecedented capabilities in integrated communications and sensing (ISAC). This workshop explores recent advancements at the intersection of multi-modal signal processing, AI, and wireless communications. We envision that multi-modality in the 6G&B era will feature three key dimensions:
Workshop 8: Data Science for Telepresence and Extended Reality Applications
Organizers: Tiago H. Falk, Sharon Gannot, Daniele Giacobello, Nobutaka Ito
Location: TBD
Website: https://sites.google.com/view/datasciencefortelepresence
Submission Link: https://cmsworkshops.com/ICASSP2026/Papers/Submission.asp?Type=WS&ID=9
Abstract: Signal processing and data science play a crucial role in the success of telepresence and extended reality systems. However, existing conferences and workshops tend to focus mainly on the computer vision and autonomous systems aspects of these technologies. This Workshop will bring together signal processing experts, data scientists, computer scientists, biomedical engineers, and psychologists to advance telepresence and immersive reality systems, making them ready for real-world deployment.
Workshop 9: From Agentic AI to Autonomy: Trustworthy Human-AI Teaming for Intelligent Adaptive Systems
Organizers: Arash Mohammadi, Ming Hou, Lucio Marcenaro, Konstantinos N. Plataniotis, Carlo S. Regazzoni
Location: TBD
Website: https://i-sip.encs.concordia.ca/aaaw2026/
Submission Link: https://cmsworkshops.com/ICASSP2026/Papers/Submission.asp?Type=WS&ID=10
Abstract: SAs intelligent systems continue to advance, the boundaries between digital agents and physical robotics are rapidly dissolving. In this context, agentic AI refers to multi-agent autonomous systems capable of reasoning, planning, adaptation, coordination, and cooperation. These agents range from software agents powered by foundation models (LLMs/LVMs) to embodied Robotic and Autonomous Systems (RASs) operating in the physical world. Agentic systems collaborate with one another and with human operators to enable intelligent, resilient, scalable, and adaptive mission execution. Their success, however, depends critically on seamless Human-Autonomy Teaming (HAT), where situational awareness and decision authority are dynamically intelligently, and adaptively shared between human and machine counterparts. Trust becomes a central enabler in the context of human-AI agent interactions, particularly under uncertainty, adversarial threats, and bandwidth-limited communications. Effective deployment depends on addressing three interconnected challenges: (i) architecting multi-agent AI frameworks that balance local autonomy with global objectives; (ii) Coordinating fleets of physical autonomous vehicles in remote and high-stakes environments, and (iii) Enabling trustworthy HAT through calibrated trust, interpretability, and robust cyber-resilience. This workshop brings together researchers and practitioners from academia, defense, and industry to explore state-of-the-art approaches that unify virtual and physical agents under a common agentic paradigm for intelligent adaptive systems.
Workshop 10: The Joint Workshop on HSCMA and CHiME 2026 Speech processing with wearable and multimodal technologies for everyday life
Organizers: Katerina Zmolikova, Shota Horiguchi, Shinji Watanabe, Marc Delcroix, Paola Garcia, Minje Kim
Location: TBD
Website: https://sites.google.com/view/hscmachime2026
Submission Link: https://cmsworkshops.com/ICASSP2026/Papers/Submission.asp?Type=WS&ID=11
Abstract: HSCMA and CHiME have established themselves as influential workshop series, fostering innovation and collaboration. HSCMA, originating in 2005, focuses on hands-free speech communication and microphone arrays, addressing challenges like environmental noise and reverberation in applications like voice-controlled assistants and teleconferencing. Since 2011, CHiME challenges have concentrated on robustness of speech processing in everyday environments, tackling issues like acoustic clutter and dynamic sound sources. CHiME workshops have served as venues for presenting the challenge outcomes and relevant research. Recognizing the natural synergy between these topics and the overlap in their communities, this year’s workshop will unite HSCMA and CHiME into a single event.
Multi-modality has become an increasingly important strategy for speech processing. This trend is further supported by the availability of wearable devices, which often provide visual and motion data. Following these developments, the workshop at ICASSP 2026 will emphasise the theme of “Speech processing with wearable and multimodal technologies for everyday life”. This theme aligns well with the ongoing tasks of CHiME-9, which will be covered at the workshop.
This workshop will bring together audio and speech communities, as well as academia and industry, encouraging interdisciplinary collaboration and advancing the field of hands-free speech communication and robust speech processing.
