Burgas State University Hosts 16th International Conference on Flexible Query Answering Systems

Konstantin Karagyozov, BTA correspondent Stanimir Dimitrov

Prof. Sotir Sotirov, Rector of the Burgas State University Prof. Dr Assen Zlatarov, unveils the 16th International Conference on Flexible Query Answering Systems, Sept. 11, 2025 (BTA Photo/Hristo Stefanov)

Burgas, on the Black Sea,

11.09.2025 13:30

(BTA)

The Prof. Assen Zlatarov Burgas State University unveiled the 16th International Conference on Flexible Query Answering Systems (FQAS 2025) on Thursday, an event bringing together scientists and researchers from five continents to present their latest work in artificial intelligence, intelligent systems and data analysis.

The conference, officially opened by Rector Sotir Sotirov, covers topics such as flexible search and information access systems, large language models, natural language processing, retrieval-augmented generation, and intelligent methods for decision-making under uncertainty. All accepted papers are being published in Springer-Verlag’s Lecture Notes in Artificial Intelligence. The programme features more than 20 research papers, three plenary lectures and two hands-on tutorials, with participants from 18 countries.

Sotirov told BTA that hosting the conference was recognition of the university and its role in international science. “FQAS 2025 is one of the highest-quality conferences worldwide and is being held in Burgas for the first time. It recognises our academic community and the university, and creates excellent opportunities for new research contacts and collaborations,” he said.

He added that the university already had established partnerships with institutions in Poland, Spain, Italy and the United States, and the conference provides an opportunity to expand international cooperation. “Many of the participants are already familiar colleagues, but we hope to create new contacts that will advance research in Burgas,” Sotirov said.

The Rector also highlighted the achievements of the university’s laboratories, which developed a system for decision-making under incomplete or unclear information, combining intuitionistic fuzzy logic with artificial neural networks. “These systems can support critical decisions, for example in medicine, when information is insufficient but the correct choice is crucial,” he explained.

/DS/