معرفی
Viktoras Bulavas is an Adjunct Professor at Vilnius University's Faculty of Physics and a PhD student in the Cognitive Computing Group at the Institute of Data Science and Digital Technologies. He works at Saulėtekio al. 9, ITTC (JK2) room 207, Vilnius, with contact number +370 5 236 6202.
His educational background includes a Master's degree in Physics from Vilnius University (1991) and a Master's degree in Public Administration from BI Norwegian School of Management (1997). Since 2004, he has been teaching Introduction to Project Management to 4th-year undergraduate students at the Faculty of Physics.
Bulavas specializes in cyber and information security, with research focusing on applying machine learning methods for early detection of cyber incidents. His work spans information systems audit, information technology project management, and management of scientific research projects. His doctoral research, supervised by Prof. Habil. Dr. Gintautas Dzemyda with consultant Prof. Dr. Virginijus Marcinkevičius, runs from October 1, 2017 to September 30, 2026.
His publication record demonstrates consistent contributions to network security and intrusion detection, with a focus on machine learning applications. His work shows progression from exploring data visualization methods (2018) to investigating fractal dimensionality (2019) and ultimately optimizing machine learning model performance (2021).
Professional certifications include:
- ECPC-B DPO Professional from the European Center on Privacy and Cybersecurity (2019)
- Certified Scrum Master from Scrum Alliance (2011)
- CRISC certification from ISACA (2011)
- CGEIT certification from ISACA (2009)
- CISA certification from ISACA (2006)
Bulavas has participated in significant academic activities including an Erasmus+ Doctoral Internship at Gdańsk University of Technology (2020-2021) and multiple International Summer Schools on Deep Learning at the same institution (2018, 2019).
