PhD candidate, Computer Science Department, Brandeis University
2013 - Present
I am currently working toward my Ph.D. with Prof. Liuba Shrira on Main-Memory Databases, aka Transactional Memory Systems. I received my BSc and MSc degrees in Computer Science from the University of Crete, Greece, while working as a research associate at the Computer Architecture and VLSI (CARV) Laboratory at ICS-FORTH. My research interests include Parallel and Distributed Storage Systems, Transactional Memory Systems and Multicore Systems.
2013 - Present
2016
2012
2011
May 29-June 2 2017, Plzen, Czech Republic
May 15 2017, College Station, Texas, USA.
March 31-April 4 2014, Chicago, IL, USA
1/2013 - Present
I have been working as a research associate in projects involving Transactional Memory Systems, Big Data File Formats (HDF5) and Cloud Computing. Below is an overview of these projects.Work on a proposal to provide performance extensibility at next generation Cloud Data Processing services. Performance extensibility refers to the ability to declaratively define application-specific performance models and constraints and leverage them to automatically customize the functionality of core application tasks towards meeting the application’s performance objectives. The challenges that this project aims to tackle are:
2/2011 - 11/2012
Member of the Computer Architecture and VLSI (CARV) Laboratory of the Institute of Computer Science (ICS), Foundation for Research and Technology – Hellas (FORTH); Contributions include:
6/2010 - 1/2011
Member of the Computer Architecture and VLSI (CARV) Laboratory of the Institute of Computer Science (ICS), Foundation for Research and Technology – Hellas (FORTH); Designed and implemented a novel methodology for performing real-time analysis of localization data streams produced by sensors embedded in ambient intelligence (AmI) environments. The methodology handles different types of real-time events, detects interesting behavior in sequences of such events, and calculates statistical metrics using a scalable stream-processing engine (SPE) that executes continuous queries expressed in a stream-oriented query language. Key personal contributions are (a) the integration of the Borealis SPE into a large-scale interactive museum exhibit system that tracks visitor positions through a number of cameras; and (b) the extension and customization of Borealis to support the types of real-time analysis useful in the context of the museum exhibit as well as in other AmI applications. The results of this research work were presented at the Ambient Intelligence 2011 conference.