معرفی
Viktor Medvedev is an Associate Professor and Senior Researcher at Vilnius University's Institute of Data Science and Digital Technologies, where he serves as Project Lead Researcher in the Blockchain and Quantum Technologies Group. His work focuses on the intersection of machine learning, data visualization, and cybersecurity applications.
Dr. Medvedev earned his Doctor of Science in Computer Science Engineering in 2007 from Vilnius Gediminas Technical University and the Institute of Mathematics and Informatics. His doctoral research centered on 'Research on the application of feedforward neural networks for multidimensional data visualization,' establishing the foundation for his continued work in data analysis and visualization techniques.
His research interests span machine learning, deep learning, data visualization, and cybersecurity applications. Specifically, he has made significant contributions to keystroke dynamics authentication, behavioral biometrics, dimensionality reduction techniques, and medical data analysis. His work often bridges theoretical computer science with practical applications in security and healthcare domains.
Dr. Medvedev's publication record demonstrates a consistent trajectory of research excellence, with recent work focusing on advanced authentication systems using deep learning, pancreatic cancer detection through machine learning, and innovative approaches to data visualization. His research shows a clear evolution from foundational work in neural networks for data visualization to contemporary applications in cybersecurity and medical diagnostics.
- ICAISC'06 - Best Presentation Award (The 8th International Conference on Artificial Intelligence and Soft Computing)
- ICANNGA 2007 - Best Young Researcher Paper Award in Neural Networks
- DAMSS 2021, 2022, 2023 - Best Poster Awards
As a Project Lead Researcher in the Blockchain and Quantum Technologies Group, Dr. Medvedev oversees research initiatives that combine cutting-edge technologies with practical applications. His work in cybersecurity has particular relevance to critical infrastructure protection, where insider threat detection using behavioral biometrics represents a significant contribution to the field.
