Workshops
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Learning for Sensing and Communications in Multi-Agent Networks
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Depth-guided Image Processing
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Signal Processing for Autonomous Systems (SPAS)
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Immersive and networked media for hyper-realistic communications
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Multi-Orbit Multi-Band 6G Satellites: From Signal Processing Techniques to Experimental Demonstration (MOMBSAT)
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Frontiers in Audio and Music Technology (FAMTech): from Transcription to Immersive Sound
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PRIN 2022 Project CIRCE – CommunIcations and Radar Co-Existence
1. Learning for Sensing and Communications in Multi-Agent Networks
Organizers: Davide Dardari, Petar M. Djurić, Anna Guerra, Francesco Guidi, Siwei Zhang
The rapid advancement of 6G technology and machine learning techniques heralds a new era in wireless communications, learning, and decision-making enabled by autonomous systems. Autonomous systems, including self-driving cars, industrial robots, and drones, are becoming ubiquitous and require a combination of signal processing and machine learning techniques to handle vast amounts of data in real-time, ensuring reliability, precision, trustworthiness, and efficiency in accomplishing different complex tasks. This workshop addresses the need for advanced methodologies for information processing that integrate various domains that leverage 6G technologies, like high frequencies and large antenna arrays. Enhancing system’s performance, reliability, trustworthiness, and scalability is crucial for industries like transportation, healthcare, manufacturing, and smart cities.
2. Depth-guided Image Processing
Organizers: Diego Valsesia, Alessandro Gnutti
Depth-guided image processing represents a novel and interdisciplinary frontier in the field of image analysis, where the integration of depth information significantly enhances traditional image processing tasks.
Integration of depth information, often captured using 3D sensors, stereo cameras, or LiDAR, is at the heart of the latest advancements in multimodal fusion.
This workshop seeks to raise the interest in the signal processing community in the potential of multimodal models, leveraging depth information. The workshop ties to the PRIN 2022 “LICAM – AI-powered LiDAR fusion for next-generation smartphone cameras” project, where the depth information captured by Lidar sensors onboard modern smartphones has been successfully exploited to enhance deep image compression and image deblurring models.
The workshop features keynotes and invited talks from distinguished researchers in the image processing field on the topic of multimodal models integrating depth information.
The workshop also features a Challenge on “Lidar-guided Image Deblurring”. The challenge will ask participating teams to deblur smartphone images, using Lidar depth maps as guidance and achieving the best visual quality.
3. Signal Processing for Autonomous Systems (SPAS)
Organizers: Shunqiao Sun, Lucio Marcenaro
The 3rd Workshop on Signal Processing for Autonomous Systems (SPAS) is a half-day satellite workshop associated with EUSIPCO 2025, organized by the Autonomous Systems Initiative (ASI) of the IEEE Signal Processing Society (SPS). The workshop will bring together researchers working on various aspects of autonomous systems to present the latest advances in the area and discuss future research opportunities and needs from industry. Autonomous systems are gaining major traction in various sectors of industry, including autonomous vehicles, warehouse settings, smart production systems, industrial and infrastructure monitoring, medical systems, etc. There is certainly a great deal of signal processing technology that will be utilized to realize these various systems, but many challenges also exist. Understanding the precise needs in these various domains will be critical in propelling future signal processing research forward. The workshop aims to bring together researchers, practitioners and students from signal processing, machine learning and artificial intelligence fields to share knowledge on methodologies, features and results related to the evaluation, modeling and understanding of autonomous systems.
4. Immersive and networked media for hyper-realistic communications
Organizers: Luigi Atzori, Luca De Cicco, Enrico Magli, Simone Milani
The concept of a virtual world has been around for many years but only recently, with the maturity in display and wearable technologies, with the increase of bandwidth and in-network computational capability, and with the development of artificial intelligence, the Metaverse and other hyper-realistic fully immersive communication systems have been able to grow, paving the way to new scientific and business opportunities. To fully unleash this potential there is the need to tackle fundamental research to assure that the deployed services reach the expected quality of experience, allowing for empathic communications, providing real feel of presence, ensuring the expected content and user authenticity, thanks also to the full power of future network architectures. This workshop addresses these issues, and will cover the following topics:
- Architecture and functionalities of human digital twins to support the deployment and management of the relevant multi-sense communications by monitoring and modeling the user in terms of emotions, experiences, locations, environment, preferences and actions.
- New sensors for novel foreseen interactions and to capture emotions, through brain-computer Interfaces, which require revisiting traditional low level processing and interaction with VRs, ARs, XRs.
- Innovative solutions to deliver experience-aware services by exploiting all the available resources in the continuum from the device to the cloud and protect all the highly sensitive information.
- Innovative media formats and descriptions that exploit AI by defining extended and more compact representation with embedded recoverable semantics.
The workshop will be open to all participants for both attendance and presentations. It will leverage the critical mass of the FUN-Media project. FUN-Media is one of the core projects of RESTART (“RESearch and innovation on future Telecommunications systems and networks, to make Italy more smart”) – an initiative funded under the NextGeneration EU framework representing the largest R&D program ever funded in italy in the domain of telecommunications and signal processing. FUN-Media specifically addresses immersive media communications over networks and will provide a bulk of research material to be presented as well as attendees.
Website link available soon
5. Multi-Orbit Multi-Band 6G Satellites: From Signal Processing Techniques to Experimental Demonstration (MOMBSAT)
Organizers: Jorge Querol, Alberto Gotta, Pietro Cassara, Mohammed Al-Ansi
The integration of non-terrestrial networks (NTNs) with terrestrial networks (TN) is an ongoing process that enables seamless broadband 6G global connectivity. A crucial stage of this transformation is the evolution from conventional single-orbit and single-band satellite systems to integrated multi-orbit, multi-band (MOMB) architectures. These architectures offer a robust strategy to leverage the complementary strengths of satellites in low earth orbit (LEO), medium earth orbit (MEO), and geostationary orbit (GEO) across multiple frequency bands. Each orbit has a unique characteristic and plays a distinct role: GEO satellites offer broad coverage and stability but at the expense of high latency; LEO satellites support low-latency communication but require complex mobility management and handover solutions; and MEO satellites strike a balance between the two. Similarly, low-frequency bands offer high resilience and penetration, but with limited bandwidth. Alternatively, the high bands support a high data rate but are more susceptible to atmospheric attenuation. Therefore, constructing collaborative architectures that leverage orbit and spectral diversity is vital to unlock the MBMO features. However, this presents several challenges ranging from advanced signal processing and architectural frameworks to system-level integration across orbits and bands. The goal of this workshop is to bring together leading experts from academia and industry to explore the potentials, challenges, and solutions related to MOMB systems. Additionally, it will facilitate discussions on ongoing research projects and experimental demonstrations that address the unique orbits and band requirements for shaping the future of MOMB-integrated TN-NTN 6G systems.
6. Frontiers in Audio and Music Technology (FAMTech): from Transcription to Immersive Sound
Organizers: Fabio Antonacci, Mirco Pezzoli, Julio Carabias Orti, Pedro Vera Candeas, Antonio Montoro, Federico Miotello
The FAMTech workshop brings together experts, researchers, and music enthusiasts to explore novel developments in music technology, ranging from optical music recognition (OMR) and deep learning–based transcription of historical scores to state-of-the-art techniques in sound source separation, spatial audio streaming and sound field reconstruction. By embracing cross-disciplinary approaches that integrate musicology, signal processing, machine learning, and interactive design, this workshop aims to showcase innovative tools and methodologies for analyzing and experiencing music in new ways, whether through immersive performances, real-time audio rendering, or virtual acoustic environments. Attendees can expect a dynamic forum offering technical presentations, discussion panels, and networking opportunities that collectively highlight ongoing progress in transforming the way we preserve, study, and enjoy music.
7. PRIN 2022 Project CIRCE – CommunIcations and Radar Co-Existence
Organizer: Maria Sabrina Greco
The CIRCE project aims to address the challenge of radar and communication system coexistence from multiple perspectives. Specifically, we explored two fundamental paradigms:
a) Opportunistic architectures, where one system utilizes the waveform transmitted by the other without compromising the performance of the primary system.
b) Holistic architectures, where coexisting entities function as a unified macro-system, allowing information exchange and dynamic negotiation of resource allocation to optimize transceiver performance.
In this workshop, we will present key research findings across various scenarios, including autonomous driving using passive systems, position-based services for automotive applications, and indoor/urban monitoring solutions.
Website link available soon