Konstantinos Kitsios

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I am a Ph.D. student at the University of Zurich, supervised by Prof. Alberto Bacchelli and the ZEST group since September 2023. My research focuses on software testing, particularly fuzzing, search-based software testing, and AI for testing, though I also enjoy working on the broader software engineering research landscape. 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. from Aristotle University of Thessaloniki, Greece.

When I’m not doing research, I spend my time playing (beach) volleyball, chess, and music (bouzouki/guitar).

news

Feb 6, 2026 I will be giving a talk at Voxxed Days Ticino on February 6.
Feb 6, 2026 Honored to serve as a PC Member for ICSE ‘27 and ISSTA ‘26!
Nov 13, 2025 I received the Distinguished Reviewer Award in ICSE 2026 Shadow PC Chair!
Oct 16, 2025 Our paper On Interaction Effects in Greybox Fuzzing has been accepted to ICSE ’26!
Aug 14, 2025 Our paper Automated Generation of Issue-Reproducing Tests by Combining LLMs and Search-Based Testing has been accepted to ASE ’25!

publications

  1. On Interaction Effects in Greybox Fuzzing
    Konstantinos Kitsios, Marcel Böhme, and Alberto Bacchelli
    In 48th IEEE/ACM International Conference on Software Engineering (ICSE), 2026
  2. Automated Generation of Issue-Reproducing Tests by Combining LLMs and Search-Based Testing
    Konstantinos Kitsios, Marco Castelluccio, and Alberto Bacchelli
    In 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
  3. Detecting Semantic Clones of Unseen Functionality
    Konstantinos Kitsios, Fransesco Sovrano, Earl T. Barr, and Alberto Bacchelli
    In 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025
  4. 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