Ján Čegiň

Research areas: test data generation, software engineering, MC/DC criterion, software security, adversarial generation

Position: PhD Student

Ján focuses on software testing, software and information security, software engineering, and machine learning. He researches automatic test data generation for unit testing of safety-critical systems (MC/DC criterion), malware detection and clustering of executable files. He addresses symbolic execution for test data generation, usability of machine learning methods for test data generation, and novel approaches in this domain.

He holds a Masters’ degree from the Slovak University of Technology in Intelligent Software Systems. He graduated with honors (cum laude).

He has participated in national research projects in co-operation with industry leaders such as ESET (malware detection) and Continental Automotive Systems (test data generation for the MC/DC criterion).

Selected achievements

Member of the excellence team PeWe of Slovak University of Technology in Bratislava, lead prof. Mária Bieliková

Automated Recognition of Antisocial Behaviour in Online Communities

Feb 23. 2021
APVV-17-0267. 2018-2020, Partners: Comenius University in Bratislava, Technical University in Kosice, Navrat, P. – principal investigator