IEEE/IFIP Network Operations and Management Symposium
6–10 May 2024 // Seoul, South Korea

Panels Sessions

Tuesday, May 7th 2024

14:00-15:30

Panel 1    Securing Critical Infrastructure: Navigating IoT Challenges and Ensuring Systematic Visibility

Room: TBD

Moderator: Dr. Arash Shaghaghi (UNSW Sydney and Cyber Security Cooperative Research Centre, Australia)

Abstract: Major cybersecurity attacks have recently targeted critical infrastructure, significantly affecting service providers and their customers. Investigations have revealed that associated risks could have been better managed if appropriate measures had been taken to ensure the visibility of the critical infrastructure. Systematic visibility and automated guarantees of critical infrastructure are now emerging research topics in academia and industry to manage cybersecurity risks. In this panel, we bring leading researchers and industry experts to discuss the most important challenges related to the security of critical infrastructure with a specific focus on the case of the Internet of Things (IoT).

Panelists: 

  • Prof. Burkhard Stiller (University of Zurich, Switzerland)
  • Prof. Robin Doss (Deakin University, Australia)
  • Prof. Sangdon Park (POSTECH, South Korea)
  • Dr. Nadeem Ahmed (Cyber Security Cooperative Research Centre and UNSW Sydney, Australia)
  • Dr. Jerome Meyer (Nokia)

Wednesday, May 8th 2024

14:00-15:30

Panel 2    Advances and Impacts of SmartNICs in Modern Datacenters

Room: TBD

Moderator: Prof. Sue Moon, KAIST, Korea

Abstract: The end of Dennard Scaling and Moore’s Law opened up the era of multicores and accelerators. In this era of Artificial General Intelligence, applications after applications are crunching more numbers than ever before and clamoring for more computing cycles in CPUs, GPUs, APUs, etc. SmartNICs are a form of an accelerator for network processing. Along with other XPUs they are evolving fast, accommodating FPGA and ASIC technologies. In this panel, we review recent advances and research challenges in SmartNICs and discuss their implications and impacts of adoption in datacenters.

Panelists: 

  • Jeehoon Kang (KAIST)
  • Gwangsun Kim (POSTECH)
  • Gyuyeong Kim (Sungshin University)
  • Eunyoung Jeong (Alpaca Networks)

Wednesday, May 8th 2024

16:00-17:30

Panel 3    Global Insights: Exploring International Research Funding Opportunities

Room: TBD

Moderator: Prof. Baek-Young Choi, University of Missouri - Kansas City, USA

Abstract: By bringing together distinguished representatives from diverse funding agencies, this panel aims to shed light on the international funding opportunities available for research across disciplines, from fundamental sciences to applied research in technology. Topics will include navigating the landscape of the global research funding environment, strategies for building international partnerships and research initiatives, and understanding the criteria for successful applications. Attendees will leave with a deeper understanding of how to leverage international research grant opportunities, and successfully navigate partnerships and collaborative projects to advance their research goals and contribute to the global body of knowledge.

Panelists: 

  • Dr. Deep Medhi (US National Science Foundation, NSF)
  • Dr. Mamadou H. Diallo (US Office of Naval Research Global, ONRG)
  • Dr. Juhee Ki (Global Cooperation, Institute of Information & Communications Technology Planning & Evaluation, IITP))

Thursday, May 9th 2024

9:00-10:30

Panel 4    TBD

Room: TBD

Moderator: TBD

Abstract: TBD

Panelists: 

  • TBD

Thursday, May 9th 2024

14:00-15:30

Panel 5    Generative AI for Network Management

Room: TBD

Moderator: TBD

Abstract: Network management has always been inherently data-centric, especially within the expansive and public communication networks that generate substantial error logs and continuously monitor service quality. Current networks are not only complex in their physical interconnections but also in their virtual constructs, such as SDN slices, network function virtualization, OpenRAN, cloud-native operations, MEC, just to name a few factors that increase complexity. The high costs associated with network management are often attributed to the limited automation within these systems. The strategic application of data-driven AI, and specifically Generative AI, holds the potential to navigate through these challenges, heralding a new era of efficiency and innovation in network management. 
The promise of Generative AI extends beyond mere novelty; it is rooted in the robust principles of generative statistical models capable of discerning and leveraging intricate statistical correlations within voluminous datasets. This technology set, which recently has been extended with Large Language Models (LLMs), has already made waves by providing insights that have captivated networking experts. We are now experiencing novel ideas in exploiting Generative AI capabilities in network and service management.
NOMS 2024 co-locates with GAIN, the First Workshop on Generative AI in Network Management. As it is poised to be a cutting-edge forum for exploring the transformative potential of Generative AI in the realm of network and service management, this panel previews the discussions for the GAIN Workshop. This panel aims to address the pressing challenges faced by modern networks, such as the need for greater automation to reduce costs and improve efficiency - or how to balance sustainability and AI/ML in network management.
The panel discussion will be an opportunity for thought leaders to share their visions, debate the merits and challenges of Generative AI, and chart a course for its integration into the fabric of network management. It promises to be an enlightening experience for all attendees, offering a glimpse into the future of networks powered by the next generation of AI technology.

Panelists: 

  • Kristina Dzeparoska (University of Toronto)
  • Pal Varga (Budapest University of Technology and Economics)
  • Kurt Tutschku (Blekinge Institute of Technology)
  • Seowoo Jang (Samsung Electronics)

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