About

I am a Research Associate in the School of Computing Science at the University of Glasgow.

My research focuses currently on video analysis and machine learning. I have broad research interests that also include HCI, uncertainty visualization, probabilistic modelling, and fairness in AI.

My degrees include:

  • Diplom (MSc. equiv.) in Electrical & Computer Engineering, Aristotle University of Thessaloniki, Greece, 2014
  • MSc. in Digital Media & Computational Intelligence, Aristotle University of Thessaloniki, Greece, 2016
  • Ph.D. in Computing, University of Glasgow, UK, 2023

After my PhD studies, I continued working at the University of Glasgow initially as a postdoctoral Research Assistant, and now as a postdoctoral Research Associate in the GIST (Glasgow Interactive Systems) group.

Research Experience

Jun 2014 - Aug 2017

Research Assistant, Information Technologies Institute (ITI), Greece

IPv_Park: Intelligent system for PhotoVoltaic PARK management, National Project
  • Gait Analysis
P-REACT: Petty cRiminality diminution through sEarch and Analysis in multi-source video Capturing and archiving plaTform, FP7-SEC-2013 Project
  • 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
Scan4Reco: Multimodal Scanning of Cultural Heritage Assets for their multilayered digitization and preventive conservation via spatiotemporal 4D Reconstruction and 3D Printing, Horizon-2020 Project
  • 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
Jan 2018 - Apr 2019

Research Database Engineer, Centre for Virus Research (CVR), University of Glasgow, UK

HCV Research UK Project (project webpage)
  • Creation of a web application for integrating, accessing, and managing the clinical & research data from the HCV research UK project
Apr 2019 - Apr 2023

PhD, School of Computing Science, University of Glasgow, UK

Interactive Animated Visualization of Probabilistic Models

Funded by the EPSRC "Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics" project (EP/R018634/1) (project webpage)

  • E. Taka, PhD Thesis: "Interactive Animated Visualization of Probabilistic Models", 2023, doi: 10.5525/gla.thesis.83903
  • 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
  • E. Taka, S. Stein, J. H. Williamson, "Does Interactive Conditioning Help Users Better Understand the Structure of Probabilistic Models?", IEEE Transactions on Visualization and Computer Graphics, 2023, doi: 10.1109/TVCG.2022.3231967
  • E. Taka, S. Stein, J. H. Williamson, Dataset: "Does Interacting Help Users Better Understand the Structure of Probabilistic Models?", University of Glasgow, 2022, doi: 10.5525/gla.researchdata.1248
  • E. Taka, S. Stein, J. H. Williamson, Poster: "Closed-Loop Interactions With Probabilistic Models", SICSA PhD Conference 2019
  • E. Taka, Presentation: "Automatic Transformation of Bayesian Probabilistic Models Into Interactive Visualizations", PYMCON 2020
  • Visualization Tools:
    • IPME (Interactive Probabilistic Models Explorer) (github)
    • IPP (Interactive Pair Plot) (github)
    • vicausi (Visualizer of Causal Assumptions and Uncertainty-Aware Simulations of Interventions) (github)
  • Probabilistic Simulator of Interventions (github)
May - Dec 2023

Research Assistant, School of Computing Science, University of Glasgow, UK

EFFI: End-users Fixing Fairness Issues, Project funded by Fujitsu Ltd.
  • E. Taka, Y. Nakao, R. Sonoda, T. Yokota, L. Luo, S. Stumpf, "Exploring the Impact of Lay User Feedback for Improving AI Fairness", 2023, url: arXiv.2312.08064 [cs.AI].
  • S.Stumpf, E. Taka, Talk: "End-user Fixing Fairness Issues (EFFI) - The Impact of Lay User Feedback for Improving AI Fairness", GIST Seminars, Oct 2023
Jan 2023 - Present

Research Associate, School of Computing Science, University of Glasgow, UK

Women, Ageing, and Machine Learning on Screen, Project funded by the Leverhulme Trust.

Teaching Experience

AY 19/20

Graduate Teaching Assistant, School of Computing Science, Glasgow University, UK

  • Information Retrieval (H/M) - COMPSCI5011 (only marking support)
AY 20/21

Graduate Teaching Assistant, School of Computing Science, Glasgow University, UK

  • 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
AY 21/22

Graduate Teaching Assistant, School of Computing Science, Glasgow University, UK

  • Data Fundamentals (H) - COMPSCI4073
  • Machine Learning and Artificial Intelligence for Data Scientists (M) - COMPSCI5100
  • Human - Computer Interaction (H) - COMPSCI4023

Review Experience

Peer-reviewed Journals
  • Frontiers in Computer Science Journal, 2023

Publications

Peer-reviewed Journals
  • E. Taka, S. Stein, J. H. Williamson, "Does Interactive Conditioning Help Users Better Understand the Structure of Probabilistic Models?", IEEE Transactions on Visualization and Computer Graphics, 2023, doi: 10.1109/TVCG.2022.3231967
  • 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
Peer-reviewed Conferences
  • 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
Archived
  • E. Taka, Y. Nakao, R. Sonoda, T. Yokota, L. Luo, S. Stumpf, "Exploring the Impact of Lay User Feedback for Improving AI Fairness", 2023, url: arXiv.2312.08064 [cs.AI].
Datasets
  • E. Taka, S. Stein, J. H. Williamson, Dataset: "Does Interacting Help Users Better Understand the Structure of Probabilistic Models?", University of Glasgow, 2022, doi: 10.5525/gla.researchdata.1248
Theses
  • E. Taka, PhD Thesis: "Interactive Animated Visualization of Probabilistic Models", 2023, doi: 10.5525/gla.thesis.83903