Intelligent, Efficient and Trustworthy Data Management and Utilization for B5G/6G

Submit a paper – deadline 15 September

With expanding network infrastructure to ensure eMBB (enhanced Mobile Broadband), URLLC (Ultra Reliable Low Latency Communications), mMTC (massive Machine Type Communications) and security with dynamic, adaptive, and self-learning ML/AI systems for upcoming Beyond 5G (B5G) and 6G. Massive amounts of data will be accumulated by operators and carriers. Much of this data is envisioned to be utilized to enable data-driven operational functions such as orchestration, optimization and monitoring. This would encompass data collected across the different layers of the end -to-end 5G system including performance, utilization, etc. Furthermore, other sources of data will be integrated as part of the applications and use-cases, which greatly expands the diversity and scale of collected data in a B5G/6G system.
Data-based business applications and innovation would have tremendous opportunities to monetize such data, but current gaps in data-management architecture for B5G/6G will present challenges to the realization of such opportunities. Hence, a careful and more critical look at the governance and architecture of data-management and utilization in B5G /6G is warranted. This should consider a more forward-looking perspective where data fusion, pipelining and hierarchical analysis can be aligned with cost/benefit service oriented business model; data-as-a-service. The main drivers for innovations is to enable foundational infrastructure that streamlines the end-to-end modular application development through modular, efficient and trustworthy data governance and management platforms. This workshop aims to invite contributions that explore how to enable further innovation by providing efficient, scalable and trustworthy data governance and management platforms/services. This congression of eminent persons plan to focus on topics including but not limited to:
  • Data-as-a-service architecture and metrics
  • Autonomous data segmentation and storage
  • AI-Enabled Data Collection from diverse sources and feeds
  • Data trustworthiness metrics
  • Dynamic anonymization of data with minimal insight loss
  • Automated data classification and categorization
  • Context-aware/insightful data-preprocessing
  • Dynamic data pipelining
  • Data sharing and governance
  • Service oriented data-management architecture

 

Workshop Organization Committee

General Workshop Chairs:

  • Mohammad Patwary, University of Wolverhampton, UK
  • Eman Hammad, Texas A&M University – Commerce/RELLIS, USA

TPC Chairs:

  • Henry, Michael J. (PNNL, Texas A&M University System – RELLIS)
  • Dr. Mamun Rashid

 

Keynote Speakers:

Eman Hammad:
Dr. Eman Hammad is an interdisciplinary researcher, with the Texas A&M University -Commerce/RELLIS, focusing on the cybersecurity, trustworthiness and resilience of future networks, emerging technologies & critical infrastructure systems. Eman obtained her PhD in Electrical & Computer Engineering from the University of Toronto. She combines practical experience and
theoretical research to shape her vision for resilient-by-design solutions in the connected world. Eman’s primary focus is on innovations in systems trust and resilience, and how a deeper
understanding of interactions between systems’ components, communication and enabling technologies can help design new classes of operational solutions that are more resilient to
cyber/physical disruptions. Her research has been recognized with merit awards (best paper award, best poster award) and has been featured on the Smart Cybersecurity Network. Eman is a senior IEEE member who has been an active volunteer, and is currently serving as the chair of Toronto ComSoc Chapter, and co-chair of the IEEE 5G Security working group for the International Network Generations Roadmap (INGR). She delivered several invited talks in academic and industrial conferences, chaired and co-chaired several conferences and workshops. Eman is an active advocate for diversity in STEM and Cybersecurity.
Her service has been recognized by IEEE chapter achievement and exemplary service awards.

 

Mohammad Patwary

Dr. Patwary Full Professor of Telecommunications & Director of Centre for Future Networks & Autonomous Systems (CeFNAS) at the Faculty of Science & Engineering in University of Wolverhampton since June 2020. He is also research lead for ‘5G Connected Forest Project’ funded by DCMS that aims at accelerating the ‘visitor economy’ in Midlands. He was a full Professor of telecommunication networks and digital productivity and the Head of the Intelligent Systems and Networks (ISN) Research Group, at School of Computing and Digital Technology, Birmingham City University, UK, between 2017 till 2020; he was also the Principal Architect for a large scale 5G testbed in the UK to accelerate digital productivity and to develop urban connected community with West Midland 5G during 2018-2020. He was also Full Professor of wireless systems and digital productivity & the Chair of the Centre of Excellence on Digital Productivity with Connected Services, Staffordshire University, until 2017. His current research interests include intelligent & autonomous systems, wireless communication systems design and optimization, future generation of cellular network architecture, and business modelling for data-economy. He is Chartered Engineer of Engineering-Council UK, Senior Member of IEEE, Fellow of IET, and co-chair of Testbed working group of International Network Generation Roadmap at IEEE.

 

Importance and Timeliness:


This workshop is vital and timely to enable focused research to enable successful, efficient and trustworthy handling and management of expected voluminous amounts of diverse
data in B5G and 6G. The fact that most operational aspects of B5G/6G and many of business applications utilizing B5G/6G will be relying on data-driven solutions.
Important Dates and Deadlines:

Paper Submission Deadline: September  15, 2021
Acceptance Announcement: September 15, 2021
Final Workshop Papers Due: November 15, 2021

The workshop will only accept original and previously unpublished papers. All submissions must be formatted in standard IEEE camera-ready format (double-column, 10pt font). The
maximum number of printed pages is six including figures without incurring additional page charges. Accepted paper presentations will be allocated ~20 minutes in “pre-recorded”
sessions with Q&A facilitated through email.

 

Submit a paper by 15 September  2021

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