Kamil Burda

Research areas: machine learning, natural language processing, biases in AI, mechanistic interpretability, behavioral biometrics

Position: Researcher

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Kamil’s current research activities are focused on large language models and multilingual processing. He has been participating in projects involving analysis of multilingual behavior through the lens of mechanistic interpretability, studying gender biases in low-resource languages, and improving reasoning capabilities of large language models in equational logic.

Kamil has participated in industry collaborations in a range of domains to help develop or consult AI solutions. These domains include legal document summarization, debt prediction, identity management, network anomaly detection and malware analysis.

Kamil also has experience with research in the domain of information security, particularly behavioral biometrics, for which he received his PhD. He supervised several master’s and bachelor’s theses and led student teams during his time at the Slovak University of Technology.

Selected activities

  • Research visit at Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Saarbrücken, Germany (October 2025)

Professional service

  • Secondary reviewer for papers submitted to international venues: ACL, ACMMM, RANLP

Selected Student Supervising

Master

  • Csomor Dávid – User Modeling Based on Behavioral Biometric Data on Mobile Devices. Defended 2021.
  • Kováč Matúš – Behavioral Biometric Authentication of Multiple Users on Mobile Devices. Defended 2021.
  • Šmajda Richard – Activity-Sensitive User Authentication on Mobile Devices. Defended 2021.
  • Jurkáček Peter – User Modeling Based on Behavioral Biometric Characteristics on Mobile Devices. Defended 2020.
  • Babula Lukáš – User Model for Determining User’s Motor Skills. Defended 2019.
  • Slovík Michal – Identification of Users During Usage of Mobile Devices Based on Behavioral Biometrics. Defended 2018.

Bachelor

  • Ferančík Šimon – Evaluation of Biometric Characteristics from Pointing Devices. Defended 2020.
  • Klučková Simona – Biometric Characteristics Evaluation Based on Hand Gestures. Defended 2020.
  • Paľa Erik – Relation of Biometric Characteristics Between Pointing Devices. Defended 2020.
  • Kolibášová Martina – Biometric User Identification in Virtual Reality. Defended 2019.
  • Šmajda Richard – Evaluating Biometric Characteristics on Mobile Devices. Defended 2019.
  • Bernáth Zsuzsanna – Biometric User Identification Based on Their Body Movements. Defended 2018.
  • Pohl Tomáš – Biometric User Identification via Body Movements. Defended 2018.
  • Babula Lukáš – User Modeling via Hand Gestures for User Identification. Defended 2017.
  • Halajová Martina – Virtual Graffiti Using Smartphone. Defended 2017.