George Amvrosiadis
Contact Info

George Amvrosiadis
Associate Research Professor
Depts. of Electrical and Computer Engineering and Computer Science

Collaborative Innovation Center 2311
4720 Forbes Ave, Pittsburgh, PA 15213
Email: gamvrosi (at) cmu (dot) edu


I am an Associate Research Professor in the department of Electrical & Computer Engineering at Carnegie Mellon University with a courtesy appointment in Computer Science. I am also a core member of the Parallel Data Lab. I spend part of my time at Amazon S3 as a Visiting Academic.

My current research focuses on distributed and cloud storage, new storage technologies, high performance computing, and storage for machine learning.

For a quick overview of my team's most recent work, check out these links: For a more in-depth look, check out the Publications section, or for a better grouping, the individual project websites: Note to prospective Ph.D. students: Feel free to reach out, but I generally have a hard time keeping up with email. If you want to make sure I won't miss your application then: (a) apply through the ECE department, and (b) include my name in the list of faculty you are interested in working with. Best of luck!

Note to current M.Sc. students: If you want to try your hand at research, reach out with your CV and transcript! You can take a look at the project websites listed above to get a taste of what we do, but keep in mind that there might be ongoing projects that are not listed yet.

Past students:

Full list of publications is available here.
Recent Talks
  • Thoughts on the Marriage of Systems and ML, Keynote at 2nd Workshop on Machine Learning for Computing Systems, Supercomputing 2020. November 2020.
  • Getting Zoned Storage out of the friend zone, Samsung. August 2020.
  • In-situ Data Processing and Zoned Storage, University of Toronto. October 2019.
  • Data Storage Research Vision 2025, USENIX FAST 2019. February 2019.
  • How I Learned to Stop Worrying and Love the Exascale, Los Alamos National Laboratory. August 2018.
  • Computing with Exaflops and Other Scary Stories, Veritas. July 2018.
  • How I Learned to Stop Worrying and Love the Exascale, Microsoft Research Redmond. June 2018.
  • Paving the Way for Exascale Computing, Hewlett-Packard Enterprise. February 2018.
  • Unobtrusive Storage Maintenance, Columbia University. September 2017.
  • Data Loss: Worse than Zombie Apocalypse?, University of Toronto. April 2016.
  • Opportunistic Storage Maintenance, Veritas Research Labs. October 2015.