When

2:30 to 3 p.m., Oct. 3, 2024
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SIE seminar logo

SIE SEMINAR: Part II
Thursday, October 3, 2024 - 2:30 p.m.
Davide Taibi
Professor
Software Architecture
University of Oulu in Finland
"Edge AI and Beyond: Designing Robust AI Architectures for the 6G Era"
ENGR 301
 
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Davide Taibi

Abstract: In this talk, I will explore cutting-edge advancements in architecting AI-intensive systems, with a particular focus on the emerging field of Edge AI. As AI systems become increasingly integral to both research and industry, the ability to design, implement, and manage distributed AI architectures is critical. This presentation will focus into key research areas, including the migration of legacy systems to microservices, the challenges of architectural degradation, and the development of robust cloud-to-edge computing paradigms within 6G frameworks.

We will examine the role of distributed intelligent computing, emphasizing how hyper-locality, orchestration, and trust are pivotal in the evolution of the edge-to-cloud continuum. Special attention will be given to the design and implementation of distributed AI models, addressing the challenges of deploying and managing AI workloads across diverse, dynamic environments. Additionally, the presentation will cover multimodal sensing and modeling, which are essential for enabling real-time, intelligent applications in complex, data-rich environments.

Bio: Davide Taibi is a full professor at the University of Oulu in Finland, where he leads the M3S Cloud research group. His research focuses on empirical software engineering with a particular emphasis on cloud-native systems and the migration from monolithic to cloud-native applications. He is dedicated to investigating processes and techniques for developing cloud-native applications, identifying specific patterns and anti-patterns, and supporting companies in their transition to cloud-native technologies. His work bridges the gap between theoretical research and practical industry applications, contributing to the advancement of cloud-native systems.