Hi! I’m a research scientist at the Information Sciences Institute (ISI) and part of the Science Automation Technologies group. My research interests lie within the intersection of Distributed Computing and Data Intensive Applications. This includes concepts manifesting in High Performance Computing, Cloud Computing and Big Data systems. I’m particularly interested in how applications can access and share resources efficiently among them, and in the analysis of large systems based on measurements. Recently I have been working on a benchmark dataset for computational workflow anomaly detection.

In 2023 I obtained my PhD in Computer Science from the University of Southern California (USC) with dissertation title “Cyberinfrastracture Management for Dynamic Data Driven Applications”. During my PhD I was advised by Dr. Ewa Deelman and we worked on topics of online performance monitoring and analysis of large scale scientific workflow executions. Among others, I worked on improving scientific workflow performance on high performance computing (HPC) systems and clouds (e.g., Chameleon, FABRIC) through workflow level optimization and network performance optimization. In my PhD thesis, I focused on how we can better utilize the available cyberinfrastracture in order to optimize the performace of dynamic data driven applications.

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.