George Amvrosiadis

George Amvrosiadis is a Research Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, with a courtesy appointment in Computer Science. He is a core member of the Parallel Data Lab and spends part of his time at Amazon S3 as an Amazon Scholar.

Education:

• 2016 - Ph.D., Computer Science, University of Toronto
• 2009 - BA, Computer Science, University of Ioannina

Research Interests: His work focuses on distributed systems, operating systems, data analysis, cloud computing, and storage technologies. He explores high performance computing (HPC), zoned storage, systems security, and storage solutions for machine learning.

Scientific Trends: Articles highlight innovations in storage systems, including zoned storage, HPC data services, and machine learning infrastructure. Research spans distributed systems, I/O optimization, and data integrity in large-scale environments.

Scientific Awards:

• DeltaFS project received the R&D 100 Award from R&D World Magazine

Teaching & Service: He co-teaches graduate courses on storage and cloud systems, serves on program committees for top conferences (SOSP, OSDI, FAST), and mentors students in systems research and infrastructure projects.