About

I am a Research Associate in the School of Computing Science at the University of Glasgow. My research focuses currently on responsible (probabilistic) AI in Criminal Justice.

My degrees include:

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

Postdoctoral Experience (School of Computing Science, University of Glasgow):

  • May 2023 - Jan 2023: EFFI: End-users Fixing Fairness Issues. Funded by Fujitsu Ltd
  • Jan 2023 - Jan 2024: Women, Ageing, and Machine Learning on Screen. Funded by the Leverhulme Institute
  • Jan 2024 - Present: Probable Futures. Funded by RAI UK

My research interests include:

  • Uncertainty Visualization
  • Bayesian Probabilistic Modelling
  • Explainable AI
  • Fairness in AI
  • Human-in-the-loop approaches
  • Machine Learning
  • Causality

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
  • 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

  • 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 2023 - Present

Postdoctoral Researcher, 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, "Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AI", 2024, url: arXiv.2312.08064 [cs.AI].
  • S. Stumpf, E. Taka, Y. Nakao, L. Luo, R. Sonoda, T. Yokota, "The Need for User-centred Assessment of AI Fairness and Correctness", UMAP Adjunct '24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024, doi: 10.1145/3631700.3664912
  • 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
Women, Ageing, and Machine Learning on Screen project, funded by the Leverhulme Trust
Probable Futures project, funded by RAI UK

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
  • Cruz D and Batista J (2024) Causality and tractable probabilistic models. Front. Comput. Sci. 5:1263386. doi: 10.3389/fcomp.2023.1263386
  • Yang M, El-Attar AA and Chaspari T (2024) Deconstructing demographic bias in speech-based machine learning models for digital health. Front. Digit. Health 6: 1351637. doi: 10.3389/fdgth.2024.1351637

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
  • S. Stumpf, E. Taka, Y. Nakao, L. Luo, R. Sonoda, T. Yokota, "The Need for User-centred Assessment of AI Fairness and Correctness", UMAP Adjunct '24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024, doi: 10.1145/3631700.3664912
Archived
  • E. Taka, Y. Nakao, R. Sonoda, T. Yokota, L. Luo, S. Stumpf, "The Need for User-centred Assessment of AI Fairness and Correctness", 2024, 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