Hi!


I am a Computer Scientist with an MSc in Digital Media - Computational Intelligence. I have 5 years of working experience in Research, Development and Innovation projects funded by EU. I have worked on different phases of H2020 and Horizon Europe projects including writing proposals to attract funds through competitive calls, working on technical project implementation and acting as a Project Manager. During technical project implementation I have worked on multimedia data modeling and analysis using deep neural networks and computer vision and developed applications for object detection and motion based multiple object tracking. I love applying advanced data processing techniques to extract meaningful insights from raw data. I gladly accept new challenges and I am passionate about providing solutions that can make people’s lives better!

Experience

Project Manager / Proposal Writer of European R&D&I projects

Visual Computing Lab/ITI/CERTH

December 2019 – Present

  • Mapping funding opportunities, consortium building  
  • Writing EU project proposals including Impact, Implementation, contribution to Excellence
  • Creation of attractive graphics, project logo, budget distribution preparation, Ethics Self-Assessment
  • Administrative support (scheduling meetings, keeping minutes / action points, organizing shared documents)
  • Budget management and planning, preparing periodic financial reports of projects
  • Preparing personnel / equipment calls
  • Participating in project communication, dissemination and exploitation planning activities. Conducting Market Research and identifying Stakeholders. Maintaining social media activity
  • Writing project deliverables related to data management plan

Research Associate/Data Scientist

Information Technologies Institute (CERTH)

July 2015 – January 2018

  • Worked on security related EU projects (LASIE-FP7, SURVANT-H2020)
  • Implemented methods for real time object detection and motion based multiple object tracking using Deep Neural Networks and Computer Vision applied on forensic multimedia data (see P1 in PUBLISHED WORK)
  • Used a series of machine learning frameworks (Caffe, Keras, Torch),Computer Vision library (OpenCV), programming languages (Python, Matlab, Lua), and technologies (MongoDB , Docker , Git Version Control)
  • Provided technical documentation of developed technologies in project deliverables and prepared technical meeting presentations

Research Assistant / Software Developer

Artificial Intelligence & Information Analysis Lab, AUTh

December 2014 – March 2015

  • Worked on ATLAS project (Advanced Tourism Planning System)
  • Proposed a technique to detect shot boundaries in videos and extract summaries automatically based on change point detection using penalized contrasts in a Bayesian framework (Matlab)
  • Collaborated constructively with other members of the team to accomplish integration  of delivered system, got familiar with working under pressure, presenting into technical meetings and writing deliverables

Education

M.Sc. Digital Media - Computational Intelligence

Aristotle University of Thessaloniki, Greece

October 2012 – July 2014

  • Thesis Topic: Restoration of noisy music recordings (Matlab)
  • Changepoint detection in timeseries with emphasis on audio signals with impulsive noise
  • Research on the impact of different data models and noise distribution assumptions on signal description and restoration efficiency
  • Study of Bayesian audio signal restoration techniques
  • Interpolation of the damaged signals using the methods of Gibbs sampling, Maximum  Likelihood and Expectation Maximization
  • Implementation of restoration techniques on synthetic and real data of Greek folk music

B.Sc. in Applied Informatics

University of Macedonia

Oct 2006 – April 2011

  • Map best practices of the Intelligent transport systems in Europe. Classification of their  categories and specific case study analysis 
  • Identify opportunities for Greece to create innovation in the transportation field in public and private sector

Projects

Participation in EU funded projects

RESCUER-H2020

2021-2024

first RESponder-Centered support toolkit for operating in adverse and infrastrUcture-less EnviRonments

RESCUER aims to design and develop a First-Responder-centered technology toolkit that will empower the next-generation of First Responders (FR) by enhancing their operational capacity and safety, specifically in adverse conditions, both environmental and infrastructure-wise.

ATLANTIS-H2020

2020-2022

AuThoring tooL for indoor Augmented and dimiNished realiTy experIenceS

ATLANTIS will provide a unique AR authoring environment, building on a set of AI-based processing services and content analysis tools, complemented by an AR application which will transform the process of authoring AR experiences.

INFINITY-H2020

2020-2023

IMMERSE. INTERACT. INVESTIGATE

Infinity’s ambition is to become a flagship project against society’s most pressing cybercriminal, terrorist and hybrid threats. Synthesising the latest innovations in virtual and augmented reality, artificial intelligence and machine learning with big data and visual analytics, Infinity will deliver an integrated solution that aims to revolutionise data driven investigations.

ALADDIN-H2020

2017-2020

Advanced hoListic Adverse Drone Detection, Identification Neutralization

ALADDIN studied, designed, developed, and evaluated, in series of complementary pilots, a counter UAV system as a complete solution to the growing UAV threat problem, building upon a state-of-the-art system and enhancing it by researching on various technologies and functionalities.

VRTogether-H2020

2017-2020

An end-to-end system for the production and delivery of photorealistic social immersive virtual reality experiences

VR-Together offered new ground-breaking virtual reality experiences based on social photorealistic immersive content, which could be experienced together with friends, and demonstrates its use for domestic VR consumption.

Hyper 360-H2020

2017-2020

Enriching 360 media with 3D storytelling and personalisation elements.

The end-goal of Hyper360 was to develop an enriched 360o media production toolset capable of delivering compelling personalized and interactive viewing experiences. This toolset enabled content distributors to deliver these media through broadband to a variety of platforms. 

SURVANT-H2020

2017-2019

Surveillance video archives investigation assistant

The SURVANT project aimed to deliver an effective and efficient innovative system able to collect, analyse videos from heterogeneous repositories of surveillance videos and extract inter/intra-camera video analytics, supporting investigators in discovering suspicious criminal events within a huge amount of video tracks.

LASIE-FP7

2014-2017

Large Scale Information Exploitation of Forensic Data

The LASIE project will design and develop a novel framework to assist forensic analysts in their investigations. The framework will consist of tools to automatically manipulate, analyse and fuse vast amounts of heterogeneous data acquired from different sources including CCTV surveillance content, confiscated desktops and hard disks, mobile devices, Internet, social networks, handwritten and calligraphic documents.

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