[hpc-announce] CFP - 1st IEEE/IFIP workshop on GenerativeAI for Network Management (GAIN 2024) - deadline: January 19th

[Kurt Tutschku]

Apologies for cross and multiple postings]

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First IEEE/IFIP Workshop on Generative AI for Network Management (GAIN2024)
(Co-located with IEEE/IFIP Network Operations and Management Symposium, NOMS 2024)
6-10 May 2024 Seoul, Korea
Call of Papers
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Dear colleagues,

We would like to invite you submit to the  first IEEE/IFIP Workshop on Generative AI for Network Management (GAIN 2024).
https://sites.google.com/view/ieee-ifip-gain24/


The workshop aim at the systematic discussion and investigation of Generative AI in network and service management. The event will bring together academic researchers from various disciplines (e.g. communication networks, data science, operations research) and practitioners from the relevant industry. The workshop invites scientific papers as well as industrial use case papers.

We are looking forward to your submission (please find the details and topics for the submission below).

Best Regards
Alberto, Pal, and Kurt 
(GAINS 2024 workshop co-chairs)


The topics for submissions might comprise:

Fault Management
–	Predictive Maintenance: Using generative AI for proactive network management
–	Network Troubleshooting using Generative AI, incl. root cause analysis and resolution
–	Monitoring using Generative AI: Using generative AI for efficient monitoring of network resources

Configuration Management
–	Network Configuration Automation with Generative AI
–	Automated Network Design and Deployment using Generative AI
–	Generative AI for Traffic Management: Optimizing network traffic engineering through AI

Accounting
–	Ethical Considerations: Addressing Privacy and Security Concerns in AI-Based Network Management
–	Ensuring fairness between network users using generative AI for optimal resource allocation


Performance
–	Network Optimization with AI: Leveraging generative algorithms for network efficiency
–	Dynamic Resource Allocation: Leveraging generative AI for efficient network resource management
–	Efficient Network Data Analysis using Generative AI:

Security
–	AI-Based Security Protocols: Developing next-generation network security strategies
–	Anomaly Detection and Response: Utilizing generative AI for enhanced network security

General
–	Prompt Engineering for Network Management Using LLMs
–	Robustness and Reliability of Generative AI for net. management (incl. benchmarks and datasets)
–	Scalability Orchestration, Testing and Validation of Generative AI for Network Management

Submission and Important Dates:
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Paper Submission Deadline: Jan. 19, 2024
Notification of Acceptance: Mar. 1, 2024
Final Camera Ready: Mar. 15, 2024
Paper format and length: IEEE double-columns - length: 6 pages (full paper), - 4 pages (short paper).

Workshop organisers:
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– Alberto Leon-Garcia, Univ. of Toronto, CA (mailto:mailto:alberto.leongarcia at utoronto.ca)
– Pal Varga, Budapest Univ. of Technology and Economics, HU (mailto:mailto:pvarga at tmit.bme.hu)
– Kurt Tutschku, Blekinge Inst. of Technology, SE (mailto:mailto:ktt at bth.se)

Author Instructions:
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Authors are invited to submit original contributions to the workshop that are written in English and that have not been published or submitted for publication elsewhere. Workshop papers must be submitted as PDFs using the IEEE conference double-column format style.  (Style templates can be found here: https://www.ieee.org/conferences/publishing/templates.html. ) 

A NOMS workshop paper must not exceed six pages (excluding references) for full paper submissions and not exceed four pages (excluding references) for short paper submissions. All submitted papers will be peer-reviewed. For accepted papers, at least one author is expected to register and present the paper in person at the workshop. Accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore.

— 
Kurt Tutschku 
Professor for Telecommunication Systems 

Department of Computer Science (DIDA) 

Blekinge Institute of Technology (BTH) 
Faculty of Computing 
371 79 Karlskrona, Sweden 

Tel. +46 455 385872 
Zoom https://bth.zoom.us/j/6045077023 
Skype tutschku 
https://www.bth.se/eng/staff/kurt-tutschku-ktt