Research Interests

My research interests relate to both systemic and data-specific aspects of Distributed, Large-Scale computing. Currently, I am focusing on algorithms for big-data management relative to: Optimization of analytics operators, graph analytics and data-quality driven analytics. Optimization aspects of Cloud Computing are also of great interest (including elasticity, profiling and resource scheduling). A full list of my publications can be found here.

Author Impact

Google Scholar, 05-09-2023


Funded RTD Projects

  • RELAX [2023-2027]: Relaxed Semantics Across the Data Analytics Stack, HORIZON-MSCA-2021-DN-01.

    Two PhD positions available! Deadline: Sept. 8, 2023

  • HiDALGO2 [2023-2026]: HPC and Big Data Technologies for Global Challenges, HORIZON-EUROHPC-JU-2021-COE-01-02.
  • DAPHNE [2021-2024]: Integrated Data Analysis Pipelines for large-scale data management, High-performance computing, and machine learning, H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT).
  • HiDALGO [2018-2021]: HPC and Big Data Technologies for Global Systems, H2020-INFRAEDI-2018-1.
  • TraMOOC [2015-2018]: Translation for Massive Open Online Courses, H2020-ICT-2014-1
  • ASAP [2014-2017]: An Adaptive, highly Scalable Analytics Platform, FP-619706.
  • CELAR [2012-2015]: Cloud Elasticity Provisioning, FP-317790.
  • ARCOMEM [2010-2013]: ARchive COMmunities MEMories, FP7-270239
  • GREDIA [2006-2009]: Grid Enabled Access to Rich media Content, FP6-34363

Research Projects and Code



@Ionian University (2010 - 2021)