Hi! I’m 5th year PhD student in Computer Science at the University of Southern California (USC). In 2017 I joined USC and the Science Automation Technologies group, and I started working with my advisor Dr. Ewa Deelman on topics of online performance monitoring and analysis of large scale scientific workflow executions. Since then I have worked on improving scientific workflow performance on high performance computing (HPC) systems and educational clouds (e.g., Chameleon) through workflow level optimization and network performance optimizations. Recently, I have been working on the characterization of machine learning science workflows and their data movement and data access patterns.
Before this, I completed my undergraduate studies in Electrical and Computer Engineering (ECE) at the National Technical University of Athens. My undergradate thesis was advised by Dr. Nectarios Koziris and focused on the identification and prediction of anomalies in cloud computing resources using robust statistical methods.
PhD in Computer Science, 2017-2022
University of Southern California (USC), USA
BSc in Electrical and Computer Engineering, 2017
National Technical University of Athens (NTUA), Greece
During my doctoral degree, I served as a teaching assistant for the following class:
During my undergraduate degree, I served as a lab assistant for the following classes: