Address
Akademijos st. 4, room 633,
Vilnius, Lithuania
Head of the Group
Prof. dr. Remigijus Paulavičius
News
ATTENTION: Doctoral admission is open until 1 June. We are looking for candidates in Quantum Computing, Artificial Intelligence, Operations Research, Blockchain, and related topics!
For more details, please click here.
Team
We are the "Blockchain and Quantum Technology Group" at Vilnius University, Lithuania, dedicated to Quantum Computing, DLT, Blockchain, Operational Research, AI and Machine Learning research.
Our team comprises skilled researchers and Ph.D. students dedicated to both research and development (R&D) initiatives.
We are continuously welcoming motivated candidates to join us!
Principal Researcher:
Senior Researchers:
Researchers:
Junior Researcher:
Professor:
Associate Professor:
Senior Lecturer:
PhD students:
Mission
Our mission is to spearhead advancements in Quantum Computing, Blockchain, AI, and related fields through Research, Education, Consulting, and Innovation.
Education
We teach “Blockchain Technologies”, “Quantum Computing”, and “Basics of Artificial Intelligence” courses for undergraduate and doctoral students. Additionally, we facilitate student internships, workshops, and various educational events.
Consultancy
We collaborate with research institutions and businesses to develop innovative solutions based on Quantum Computing, AI, Optimization, and DLT. From conducting fundamental research to designing prototypes, we actively contribute to the implementation of novel projects.
Research Areas
- Quantum Computing
- Blockchain and DLT technology
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Global optimization
- Bilevel Programming
- Multi-Objective Optimization
- Evolutionary Algorithms
- Optimization software
- High-Performance Computing
- Cloud Computing
- Image Processing
- Internet of Things (IoT)
- Data Mining
- Big Data Analysis
- Numerical analysis
- Statistical data analysis
science and education
Phd Students
| Name, Surname | Supervisor | Field of study |
Theme | Time of study |
| Arnoldas Budžys | Dr. Viktor Medvedev | N 009 | Identification of Anomalous Events and Their Prevention in Computer Networks Using Machine Learning Methods |
2020-2024 |
| Juozas Dautartas | Dr. Viktor Medvedev | T 007 | 2023-2027 |