Current

[September 2009 – present]
Computational approaches for regulatory network inference and visualization.

Previous

[September 2005 – 2009]
Image processing and visualization techniques that improve the accuracy and effectiveness of proteomic analysis
Supervised by: Prof. George Lepouras, Prof. Elias Manolakos, Dr. Spiros D. Garbis.
Funded by: Greek Secretariat for Research and Development (PENED 2003 framework).

Virtual Reality & Human-Computer Interaction Laboratory, University of Peloponnese, Greece
Description: Conducting research in the area of proteomics analysis and visualization (2D-GE, LC-MS). Investigating integrative approaches for visualizing multidimensional data which originate from all steps of the proteomics workflow. Designing ontologies to model basic bioinformatics concepts. Designed and currently developing a software tool aiming at improving the accuracy and effectiveness of the proteomics results interpretation through the use of advanced visualization techniques [J3, C6, P5]. Advised to successful completion one (1) undergraduate thesis project in the general area of Bioinformatics that resulted in one (1) conference paper [C5]. Tasks included: studying the application of clustering methods to mass-spectra peak-lists and developing a tool for extracting, visualizing and validating protein clusters. Results available in publications.

Bioinformatics & Medical Informatics Group, Biomedical Research Foundation, Academy of Athens, Greece
Description: Studied and practiced on the 2DGE-MS and LC-MS proteomics experiments workflows. Used image analysis software tools (PDQuest, Melanie), installed and worked on identification search engines (MASCOT server, ProteinPilot), used software suites for aggregating proteomics data and applied meta-data analysis using tools complementing proteomics experiments (MS-Screener, MATLAB, OpenDX). Assisted to successful completion of two (4) high-throughput LC-MS experiments [P1-P4] that led to four (4) poster papers and one (1) Journal paper [J2]. Results available in publications.

[June 2005 – December 2005]
Innovative aspects in web content ranking: Time/trends and topic classification
Supervised by: Prof. Michalis Vazirgiannis
Funded by EU/National program PYTHAGORAS II.
AUEB, Greece

[September 2004 – May 2005]
[B.Sc thesis] Medical Data Mining System: A Large Scale Data Mining Approach to Antibiotic Resistance Surveillance
Supervised by: Prof. Michalis Vazirgiannis.
AUEB, Greece
Description: Designed and developed a mechanism that detects hidden and previously unknown patterns on large public health datasets, in terms of association rules, which can provide surveillance warnings. Proposed a web enabled framework architecture for integrating public health data from multiple sources, discovering and storing association rules for future analysis. Developed the proposed architecture and evaluated it using data from the WHONET software installed in many Greek hospitals of the "Greek System for Surveillance of Antimicrobial Resistance" (GSSAR) network. The research prototype system "Data mining techniques for monitoring antibiotic resistance", was adopted by the GSSAR network. Results available in publications [C3].
URL: Medical Data Mining System

[October 2003 – August 2004]
BANKeVAL 2004 survey, Evaluation of the web infrastructure and platform of various national and international banks
Supervised by: Prof. Emmanuel J. Yannakoudakis.
AUEB, Greece
Description: Worked on BANKeVAL, a project that evaluated the e-banking infrastructure and website services of various national and international banks.