Networks for AI

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Networks for AI

LLMs, Optimization, and Game Theory

Special Presentation by Dr. Marios Avgeris (U. of Amsterdam, the Netherlands)

Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group

Date/Time: Thursday, 19 June 2025 @ 12:00 UTC

Topic:

Networks for AI 

Abstract:

As AI workloads become increasingly distributed, data-intensive, and latency-sensitive, the symbiotic relationship between networking and artificial intelligence is reshaping the design and operation of modern communication infrastructures. This talk explores the emerging paradigm of “Networks for AI”, where networks are no longer passive conduits but active enablers of scalable, secure, and efficient AI deployment. We will touch upon how AI augments network performance but mainly how modern network architectures are evolving to meet the stringent demands of AI training and inference. Emphasis will be placed on AI-native networking principles, high-performance fabrics for AI workloads, and in-network machine learning using programmable data planes. We also discuss key standardization efforts and recent research directions. Through this lens, the talk highlights how telecom and AI co-evolve to unlock new capabilities for both consumer and enterprise applications.

Speaker:

Marios Avgeris : I am currently holding an Assistant Professor position with the Informatics Institute (IvI) at the University of Amsterdam (UvA), carrying out work in the Multiscale Networked Systems (MNS) group. My research focuses in next-generation network management and orchestration, combining techniques from machine learning, and control theory. Specifically, I focus on designing intelligent, self-adaptive network architectures that leverage advanced AI techniques and/or rigorous control-theoretic principles to optimize performance and formally guarantee reliability. Recently, I have also been exploring the development of goal-oriented, semantic communication frameworks and the integration of generative AI to enable proactive network optimization, digital twinning, and zero-touch service management. I have received my diploma from the Department of Electrical and Computer Engineering (ECE) at the National Technical University of Athens (NTUA), Greece, in 2016, and my PhD from the same department in 2021. All this time at NTUA I was embedded at the NETwork Management and Optimal DEsign (NETMODE) Lab. From 2022 to 2024, I was a Postdoctoral Fellow with the Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada and the Software and Information Technology Engineering department at the École de Technologie Supérieure (ÉTS), Montreal, Canada. In parallel, I worked at Ericsson Canada. During that time, I was also awarded the CU-PSAC Postdoctoral Fellow Research Award.

 

Date and Time

Date: 19 Jun 2025Time: 08:00 AM EDT to 09:00 AM EDT

Location

  • This event has virtual attendance info. Please visit the event page to attend virtually.

Hosts

Registration

  • Starts 16 May 2025 08:00 PM EDT
  • Ends 19 June 2025 07:00 AM EDT
  • No Admission Charge



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