Konstantinos Kitsios

I am a Ph.D. student at University of Zurich, supervised by professor Alberto Bacchelli and the ZEST group. My research interests lie at the intersection of Software Engineering, Machine Learning, and Software Security. Additionally, I’m interested in the development of deep learning models, datasets, and evaluation methods for software engineering downstream tasks like code clone detection or test generation. My research is also supported by the Bodossaki Foundation.

Previously, I worked as a software engineer at Tesla on distributed software systems and databases and I obtained my M.Eng. degree from Aristotle University of Thessaloniki, Greece.

When I’m not doing research, I spend my time playing (beach) volleyball, chess, and music (bouzouki/guitar). Reading fantasy literature is another thing I’m passionate about, especially J.R.R. Tolkien.

publications

CinC

Convolutional recurrent neural network and LightGBM ensemble model for 12-lead ECG classification

Charilaos Zisou, Andreas Sochopoulos, and Konstantinos Kitsios

In Computing in Cardiology, 2020

Bib PDF

@inproceedings{zisou2020convolutional,
  title = {Convolutional recurrent neural network and LightGBM ensemble model for 12-lead ECG classification},
  author = {Zisou, Charilaos and Sochopoulos, Andreas and Kitsios, Konstantinos},
  booktitle = {Computing in Cardiology},
  pages = {1--4},
  year = {2020},
  organization = {IEEE},
  doi = {10.22489/CinC.2020.417},
}

Online

The Querynomicon: An Introduction to SQL for Weary Data Scientists

Greg Wilson, Konstantinos Kitsios, and Pao Coralles

2024

Online; accessed 30-May-2024

PDF