Konstantinos Kitsios

prof_pic.jpg

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. Specifically, I focus on intelligent software testing techniques, mainly fuzzing. Additionally, I’m interesting in the development of deep learning models, datasets, and evaluation methods for software engineering downstream tasks like code clone detection or vulnerability detection. 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

  1. 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
  2. Online
    The Querynomicon: An Introduction to SQL for Weary Data Scientists
    Greg Wilson, Konstantinos Kitsios, and Pao Coralles
    2024
    Online; accessed 30-May-2024