International Workshop on Networked AI Systems

Co-Located with ACM MobiSys 2024
June 7, 2024. Tokyo, Japan

Find Out More


[May 13th] NetAISys and EnvSys to merge! Workshop Program and Presenter Instructions now available!

[April 22nd] The authors notifications will be sent out to all authors on April 25, 2024.

[April 5th] The paper submission deadline has been extended to April 12th!

[February 23th] The NetAISys '24 paper submission system is now online. Looking forward to receiving your works!

[February 7th] NetAISys '24 will be co-located with ACM MobiSys '24. See you in Japan!

Networked AI Systems Workshop Program

Following the successful event last year at ACM MobiSys '23, we have decided that this year we will again merge the NetAISys Workshop with the EnvSys Workshop, resulting in a combined day-long event.

Both workshops revolve around the role of AI, focusing on different but complementary aspects. NetAISys explores the integration of AI with networking systems, investigating the challenges and opportunities it presents. EnvSys, on the other hand, emphasizes the application of these technologies to environmental sensing, tackling crucial environmental issues using tech solutions.

We believe that this merger will serve as a platform for fruitful discussions and the exchange of ideas, giving you exposure to a broader spectrum of research at the intersection of networking technologies, AI, and environmental sensing. This will also provide an enriched setting where the EnvSys cases can potentially act as real-world use-cases for Networked AI Systems.

The program for this joint workshop will feature a total of 10 papers and 2 keynotes. Each presentation will have a 15-minute slot, followed by a 3-minute Q&A session. Please find the detailed program schedule on the NetAISys '24 website.

Note that this is a tentative schedule and may undergo minor modifications.


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Prof. Josaphat Tetuko Sri Sumantyo

Chiba University, Japan

Keynote title

"Development of AI Remote Sensing Technology and Applications for Disaster Resilience Society"

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Chulhong Min

Nokia Bell Labs, Cambridge (UK)

Keynote title

"AI-Powered Evolution in Wearables with Multi-device, Multi-modal, Collaborative Systems"

Keynotes details

  • In his talk, Prof. Josaphat Sumantyo will introduce the development of unmanned aerial vehicles, aircraft, high altitude platform systems (HAPS), and microsatellite onboard multiband microwave sensors called circularly polarized synthetic aperture radar (CP-SAR) and their applications used AI for disaster and environmental monitoring to realize disaster resilience society. The development of this multiplatform CP-SAR includes the international research and education collaboration on microwave remote sensing that has been promoted by the Center for Environmental Remote Sensing of Chiba University for environmental and disaster monitoring since 2005. The international education in this research includes a double degree program, short/long stay programs, a world-class professor program, a visiting professor, a postdoctoral program under a Japanese governmental program, and overseas governments to promote high skills and knowledge on microwave remote sensing. We hope this research and education activities could boost the development of microwave remote sensors for future Earth and planetary missions.

    Josaphat Sumantyo is a full professor at the Center for Environmental Remote Sensing (CEReS), Chiba University, Japan. He manages the Josaphat Microwave Remote Sensing Laboratory (JMRSL), where he develops microwave sensors and their applications, particularly the synthetic aperture radar (SAR) sensor for unmanned aerial vehicles (UAVs), aircraft, and microsatellites. He is a professional in developing leading techniques in remote sensing to observe continents, oceans, and the atmosphere using satellite data and remotely sensed devices.

  • The advent of tiny, ultra-low-power AI accelerators marks a significant milestone in the evolution of wearable technology. These tiny yet powerful devices are not only shrinking the physical boundaries of computing but are also redefining the scope of artificial intelligence (AI) on the body. Seamlessly integrated into wearable devices, they transform our bodies into networks of AI-powered processing units with various sensors, enabling next-generation wearable applications. In this talk, I will introduce a cutting-edge AI-native system designed for the on-the-fly collaboration of smart wearable devices equipped with these promising yet largely unexplored tiny, ultra-low-power AI accelerators.

    Chulhong Min is a principal research scientist at Nokia Bell Labs in Cambridge, UK, where he leads the Device Systems team. His current research explores next-generation sensory systems to realize transformative multi-modal, multi-device sensing for disruptive mobile, wearable, and IoT services. Broadly, his research interests include mobile and embedded systems, AI/ML, the Internet of Things (IoT), and human-computer interaction.

Presenter Instructions

  • Duration:Each presentation will be allotted 18 minutes - 15 minutes for the presentation itself and 3 minutes for Q&A.

  • Format: All presentations should preferably be in PowerPoint (.ppt/.pptx) or PDF format. Ensure that the content on your slides can be easily understood when projected on a large screen.

Workshop Venue

ACM MobiSys2024 and NetAISys '24 will take place at Toramon Hill Forum. Additional information about the confernece venue can be found here.

ACM MobiSys 2024 Workshop on Networked AI Systems

The 2nd International Workshop on Networked AI Systems (NetAISys), colocated with MobiSys 2024, aims to bring together leading experts in the field to explore the latest advancements and challenges in the integration of AI and networking technologies. Such integration is driving the development of intelligent and autonomous systems that are capable of making decisions and performing tasks in real-time. The workshop will provide a platform for the presentation and discussion of cutting-edge research, the demonstration of innovative networked AI systems and applications, and the exchange of ideas, experiences, and case studies. The significance of this workshop to the ACM MobiSys community lies in the growing reliance on AI systems that are connected to and operate within wireless networks. With AI/ML migrating to the network edge, there is an increasing demand for efficient and effective AI systems that play a crucial role in powering various intelligent and autonomous systems in dynamic network environments with varying network conditions. By bringing together researchers, practitioners, and industry professionals, we hope to create a collaborative environment and a one-of-kind and valuable opportunity to delve into the challenges and latest advancements presented by networked AI systems and applications. We look forward to sharing our experience and insights with the ACM MobiSys community.

Call For Papers

The integration of AI and networking technologies is driving the development of intelligent and autonomous systems that are capable of making decisions and performing tasks in real-time. These systems are critical for a wide range of applications, including 5G networks, IoT, and edge computing. However, designing, implementing, and deploying AI systems in networked environments presents a number of unique challenges. One of the main challenges is ensuring that AI systems can operate effectively in dynamic network environments with varying network conditions. Another requirement is balancing the trade-offs between the computational and communication requirements of AI systems in networked environments. Additionally, there is a need to develop new algorithms and protocols that can effectively utilize the resources of the network while ensuring robustness and security. Finally, networked AI systems will deal with the high-dimensionality and heterogeneity of the data generated by AI systems in networked environments, which requires novel data management and analytics techniques.

The goal of this workshop is to bring together researchers and practitioners working on the design, implementation, and deployment of AI systems in networked environments. The workshop aims to provide a forum for discussing the latest research and development in this field, as well as for sharing practical experiences and case studies.

By bringing together experts from academia and industry, the workshop aims to foster collaboration and to promote the development of new ideas and research directions in this field. The workshop is co-located with ACM MobiSys 2024 and will be held as an in-person event in Tokyo (Japan). We invite submissions of original research papers, as well as papers describing practical experiences, case studies, and tutorials.

Topics of interest include, but are not limited to:

  • Distributed and collaborative AI algorithms and systems

  • IoT, Cyber-Physical Systems (CPS), edge and fog computing for networked AI systems

  • AI-enabled real time networking architectures and protocols for networked AI systems

  • Enhanced intelligent networking techniques (e.g., slicing, placement, management, control, reconfiguration, virtualisation) for 5G and beyond

  • Theoretical and/or experimental results addressing the predictability of networked AI systems

  • Security and privacy for networked AI systems

  • Data management, sharing, and sets for AI in networked AI systems

  • Real-world deployment, diagnosis, evaluation and troubleshooting for networked AI systems

  • Digital twin platforms enabled by networked AI systems

  • On-device & multi-device AI

  • Generative AI for networked AI systems

  • Green network intelligence and sustainability for networked AI systems

  • Real-world deployment and evaluation of AI in networked systems

Submission Format

The 2nd International Workshop on Networked AI Systems will solicit of two different types of submissions:

  • Full paper submission. Solicited submissions include both full technical workshop papers and white position papers. Maximum length of such submissions is 6 pages (including references), and if accepted they will be published by ACM and appear in the ACM Digital Library.

  • Work-in-progress and demo submissions. Abstracts describing work-in-progress and demonstrations are also welcome and warmly encouraged. Submissions are limited to 2 pages (excluding references), and if accepted included in the program as a short oral presentation – but will only be published on the workshop website (not the ACM Digital Library). Deadlines for this informal track remain open even past the early registration deadline of MobiSys 2024; author notifications will be rolling (i.e. max of 4 days after submission) to enable early authors to take advantage of available discounts.

NetAISys follows a single-blind review process, but all submissions must be original work not under review at any other workshop, conference, or journal. Submissions must be submitted as a PDF in the double-column MobiSys format. Submissions can use this LaTex template that is known to comply with the formatting requirements. Authors remain responsible for checking that their resulting PDF meets our formatting and anonymity specifications.

Submission Important Dates

  • Submission Deadline: Friday April 12th, 2024, AoE [FIRM]

  • Notification of Acceptenace: Friday April 25th, 2024, AoE

  • Camera-ready Papers Due: Wednesday May 1st, 2024, AoE [FIRM]

  • Workshop Date: Friday June 7, 2024

Submission System

Submit your work via HotCRP.


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SiYoung Jang

Nokia Bell Labs

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Ahmed M. A. Sayed

Queen Mary University of London

Contact and Acknowledgements

If you have any questions, please contact NetAISys organizers.
Homepage picture is an artwork created using OpenAI's DALL·E.