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 and Machine Learning. Specifically, I focus on the development of deep learning models, datasets and evaluation methods for software engineering downstream tasks like code clone detection, pull request automation, commit untangling and more.

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.

“A thought is an idea in transit.” - Pythagoras

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},
}