معرفی
Prof. Dr. (HP) Saulius Gudas is an Affiliated Professor in the Cybersocial Systems Engineering Group of the Institute of Data Science and Digital Technologies at Vilnius University. His office is located at Akademijos St. 4, room 603, Vilnius, Lithuania.
Education & Background:
While explicit degrees are not listed in the provided source, his long-standing professorship and extensive publication record spanning over a decade indicate advanced doctoral training and senior academic status.
Research Interests:
Prof. Gudas focuses on the intersection of software engineering, enterprise modelling, and knowledge-based systems. Core themes include:
- Causal knowledge modelling to enhance agile enterprise application development.
- Model-driven approaches for ensuring business-IT alignment.
- Deep knowledge-based evaluation and interoperability of enterprise applications.
- Quality modelling of web services and financial process mining.
Publication Trends:
Across the most recent works (2017–2024), a clear trajectory emerges from foundational enterprise modelling and interoperability assessment toward leveraging causal models and data analytics to improve agile development processes, service quality, and financial anomaly detection.
Doctoral Supervision & Training:
Prof. Gudas has successfully supervised the following PhD projects:
- Andrius Valatavičius – “Assessment of application program interoperability using autonomous computing technologies” (defended 2019).
- Mindaugas Jusis – “Research on synchronization methods for autonomous port loading processes” (2016–2020).
- Karolis Noreika – “Evaluation of the application development process using an improved Agile project management method” (2019–2023).
Laboratory & Team Involvement:
As a senior member of the Cybersocial Systems Engineering Group, he contributes to interdisciplinary projects that integrate software engineering methodologies with socio-technical system analysis within the larger Institute of Data Science and Digital Technologies.
