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Events for July 17, 2024
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DEN@Viterbi - 'Limited Status: How to Get Started' Virtual Info Session
Wed, Jul 17, 2024 @ 12:00 PM - 01:00 PM
DEN@Viterbi, Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Join USC Viterbi for our upcoming Limited Status: How to Get Started Virtual Information Session via WebEx to learn about the Limited Status enrollment option. The Limited Status enrollment option allows individuals with an undergraduate degree in engineering or related field, with a 3.0 GPA or above to take courses before applying for formal admission into a Viterbi graduate degree program. USC Viterbi representatives will provide a step-by-step guide for how to get started as a Limited Status student and enroll in courses online via DEN@Viterbi as early as the Summer 2024 semester.
WebCast Link: https://uscviterbi.webex.com/weblink/register/r872611deb65dabe1bd4839c9b77d73d1
Audiences: Everyone Is Invited
Contact: Corporate & Professional Programs
Event Link: https://uscviterbi.webex.com/weblink/register/r872611deb65dabe1bd4839c9b77d73d1
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PhD Dissertation Defense - Mehrdad Kiamari
Wed, Jul 17, 2024 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
University Calendar
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=OPLAvBwbZoJintRHm536nNhlN1VwH6.1Location: 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
