Carnegie Mellon University

George Amvrosiadis

George Amvrosiadis

Associate Research Professor, Electrical and Computer Engineering

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  • 2311 Collaborative Innovation Center
Address 5000 Forbes Avenue
Pittsburgh, PA 15213

Bio

George is an Associate Research Professor of Electrical and Computer Engineering at Carnegie Mellon University, with a courtesy appointment in the Computer Science Department, and a member of the Parallel Data Lab. His research focuses on distributed systems, operating systems, and data analysis. He co-teaches two popular graduate-level courses on advanced cloud computing and storage systems. He received his Ph.D. from the University of Toronto.

Education

Ph.D., 2016
Computer Science
University of Toronto, Canada

B.S., 2009
Computer Science
University of Ioannina, Greece

Research

Keywords

  • Cloud computing
  • High performance computing
  • Operating systems
  • Distributed systems
  • Storage systems
  • Machine learning
  • Big data analytics
  • Scalable machine learning

Related news

Wednesday, November 01, 2023

Validating Large Language Models

Researchers developed an automated tool to audit AI models that are designed to understand and generate human language.
Tuesday, February 01, 2022

Mochi Wins Prestigious R&D 100 Award

The Parallel Data Lab’s Mochi Project recently received the prestigious R&D 100 Award from R&D World magazine, a leading resource for research scientists, engineers, and technical staff members at laboratories around the world.
Tuesday, January 21, 2020

DeltaFS Recognized as Exceptional New Product by R&D World Magazine

The Parallel Data Lab’s DeltaFS project recently received the prestigious R&D 100 Award from R&D World magazine, a leading resource for research scientists, engineers, and technical staff members at laboratories around the world.
Monday, November 11, 2019

Parallel Data Lab receives computing cluster from Los Alamos National Lab

Carnegie Mellon University has received a supercomputer from Los Alamos National Lab (LANL) that will be reconstructed into a computing cluster operated by the Parallel Data Lab (PDL) and housed in Carnegie Mellon’s Data Center Observatory.
Monday, December 03, 2018

One framework to rule them all

ECE Assistant Professor George Amvrosiadis is part of a team from CMU’s PDL and Los Alamos National Lab designing a record-breaking file system framework for the next era of supercomputing.
Tuesday, July 31, 2018

PDL team tests new file system on Trinity supercomputer

A team from the Carnegie Mellon Parallel Data Lab (PDL) recently completed work with Los Alamos National Lab simulating physical phenomena involving as many as a trillion individual particles.