Events Calendar

PhD Dissertation Defense - Mehrdad Kiamari

Title: Advancing Distributed Computing and Graph Representation Learning with AI-Enabled Schemes        
 
Date and Time: Wednesday, July 17, 2024 - 2:00p - 4:00p        
 
Location: EEB 132        
 
Abstract:  "This thesis investigates the evolving challenges and opportunities within distributed computing and communications, emphasizing the optimization of performance, security, and efficiency. It is structured into interconnected chapters, each addressing key aspects of distributed systems research.
Initially, it focuses on robust consensus mechanisms for mobile distributed systems, crucial for maintaining the integrity and reliability of decentralized networks. This includes the introduction of Blizzard, the first mobile-based consensus protocol for distributed ledgers, as well as the novel application of graph convolutional networks (GCNs) in managing consensus. 
Next, this thesis presents groundbreaking scheduling schemes for distributed resources, focusing on the "GCNScheduler," the first GCN designed to optimize task scheduling. The GCNScheduler significantly reduces scheduling times by several orders of magnitude and facilitates efficient task execution across a range of applications. 
Finally, it introduces Graph Kolmogorov Arnold Networks (GKAN) for general purposes for the first time. Overall, this thesis advances distributed computing and graph neural networks by presenting new methodologies that enhance communication efficiency and computational performance, supporting the next generation of computing infrastructure to meet growing data and computational demands."        
 
Zoom Link: https://usc.zoom.us/j/93725329030?pwd=OPLAvBwbZoJintRHm536nNhlN1VwH6.1

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

Audiences: Everyone Is Invited

Contact: Mehrdad Kiamari

Event Link: https://usc.zoom.us/j/93725329030?pwd=OPLAvBwbZoJintRHm536nNhlN1VwH6.1