Anna Giannakou

Research Scientist

Scientific Data Division

Anna Giannakou is a research scientist in the IDF group working in security for HPC and machine learning. Anna is part of the Scientific Integrity for Exascale Scientific Data and Science Search projects.

Anna Giannakou received her PhD from Institut National des Sciences Appliquées at Inria Rennes in July 2017. Working in Dr. Christine Morin's research group, Anna's research focused on self-adaptable security monitoring for cloud environments. Anna holds a masters in Information Security from University of Luxembourg and a Bachelor's in Computer Science from the University of Athens.

Journal Articles

Anna Giannakou, Dipankar Dwivedi, Sean Peisert, "A Machine Learning Approach for Packet Loss Prediction in ScienceFlows", Future Generation Computer Systems, January 2020, 102:190-197, doi: 10.1016/j.future.2019.07.053

Conference Papers

Ayaz Akram, Anna Giannakou, Venkatesh Akella, Jason Lowe-Power, Sean Peisert, "Performance Analysis of Scientific Computing Workloads on General Purpose TEEs", Proceedings of the 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS), IEEE, May 2021, doi: 10.1109/IPDPS49936.2021.00115

Anna Giannakou, Daniel Gunter, Sean Peisert, "Flowzilla: A Methodology for Detecting Data Transfer Anomalies in Research Networks", Workshop on Innovating the Network for Data-Intensive Science (INDIS), November 11, 2018, doi: 10.1109/INDIS.2018.00004

Reports

Ayaz Akram, Anna Giannakou, Venkatesh Akella, Jason Lowe-Power, Sean Peisert, "Performance Analysis of Scientific Computing Workloads on Trusted Execution Environments", arXiv preprint arXiv:2010.13216, October 25, 2020,