About

About me

I am currently a PhD student at the University of Glasgow within the Inference, Dynamics and Interaction group. I work under the supervision of John H. Williamson and Sebastian Stein. My PhD is funded by "Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics, EPSRC Project: EP/R018634/1".

Education

2019-Present

PhD in Computing Science

University of Glasgow

EPSRC - funded

2014-2016

MSc in Computer Science

Aristotle University of Thessaloniki, Greece

Digital Media & Computational Intelligence

2008-2014

Dipl. (MSc equiv.) in Electrical & Computer Engineering

Aristotle University of Thessaloniki, Greece

Electronics & Computers

Experience

2019-present

Graduate Teaching Assistant

University of Glasgow, UK

Information Retrieval (H/M) - COMPSCI5011 (only marking support), Data Fundamentals (H) - COMPSCI4073, Systems Programming (H) - COMPSCI4081, Introduction to Data Science and Systems (M) - COMPSCI5089, Deep Learning (M) - COMPSCI5085, Object-Oriented Software Engineering 2 - COMPSCI2008, Machine Learning and Artificial Intelligence for Data Scientists (M) - COMPSCI5100, Human - Computer Interaction (H) - COMPSCI4023

2018-2019

Research Database Engineer

University of Glasgow, UK

Center for Virus Research. Project: HCV Research UK.

2014-2017

Research Assistant

Centre for Research & Technology Hellas

Information Technology Institute. Projects: IPv-Park, P-React, Scan4Reco

Research

Research

Interactive, Animated Representations of Probabilistic Models

The title of my PhD is "Interactive, Animated Representations of Probabilistic Models". As the title implies, my research focuses on the creation of novel representations of probabilistic models that incorporate animated and interactive visualizations for the communication of the uncertainty about the true value of the model's variables. The research question that I will try to answer in the contexts of this research will be whether these novel representations of probabilistic models help people better understand and interpret models and make explainable and rational decisions.

Publications

Publications

E. Taka, S. Stein, J. H. Williamson, "Does interaction help users better understand the structure of probabilistic models?", 2022, url: arXiv:2201.03605 [cs.HC].

E. Taka, S. Stein, J. H. Williamson, "Increasing Interpretability of Bayesian Probabilistic Programming Models Through Interactive Representations", Frontiers in Computer Science Journal, 2020, doi: 10.3389/fcomp.2020.567344.

N. Dimitriou, G. Kioumourtzis, A. Sideris, G. Stavropoulos, E. Taka, N. Zotos, G. Leventakis, D. Tzovaras, "An Integrated Framework for the Timely Detection of Petty Crimes", IEEE EISIC Conference 2017, doi: 10.1109/EISIC.2017.13.

E. Taka, K. Papachristou, A. Drosou, N. Dimitriou, D. Tzovaras, "Physical Forces aware of Aging Simulation on Cultural Heritage Artifacts", IEEE 3DTV Conference 2017, doi: 10.1109/3DTV.2017.8280394.

E. Taka, K. Papachristou, N. Dimitriou, A. Drosou, D. Tzovaras, "On the potential of Simulation enhanced Conservation of CH Artifacts", IEEE EEEIC Conference 2017, doi: 10.1109/EEEIC.2017.7977688.

Attended Events

Attended Events

SICSA PhD Conference 2019

I presented a poster that you can see here

PyMCon 2020

I gave a talk on "Automatic Transformation of Bayesian Probabilistic Models Into Interactive Visualizations"