معرفی
Prof. habil. dr. Gintautas Dzemyda is a leading Lithuanian computer scientist, Professor and Senior Researcher at Vilnius University Institute of Data Science and Digital Technologies (VU DMSTI), and Head of the Cognitive Computing Group. He is simultaneously affiliated with the Institute of Mathematics and Informatics (MII) in Vilnius, where he has built an internationally recognized scientific school in visual data analysis.
Education & Qualifications
- 1984 – Candidate of Technical Sciences (PhD equivalent), thesis on “Problem Structure Analysis – a Tool for More Effective Optimization”.
- 1997 – Habilitation Doctor of Technical Sciences, dissertation on “Isolation of Necessary Knowledge to Improve Optimization Efficiency”.
- 1992 – Associate Professor, Institute of Mathematics and Informatics, Vilnius.
- 1998 – Professor, Kaunas University of Technology.
Research Interests
Prof. Dzemyda’s research integrates data science, artificial intelligence, optimization, and cognitive computing. Core topics include dimensionality reduction, multidimensional data visualization, neural-network–based analytics, parallel and distributed computing, multi-criteria decision support, and advanced AI applications in medicine (ophthalmology, cardiology, oncology). His work has pioneered Lithuanian capabilities in visual analytics and large-scale data exploration.
Publication Trends
Across 270+ refereed works and 2 Springer monographs (2013, 2023), recent outputs (2021–2025) emphasize geometric multidimensional scaling for big-data visualization, deep learning for pancreatic-cancer detection on CT images, reinforcement learning for autonomous navigation, and fraud-detection techniques for highly imbalanced financial datasets. These contributions appear in Springer LNCS/LNNS, Informatica, Journal of Global Optimization, Engineering Applications of Artificial Intelligence, and other top venues.
Awards & Recognition
- Lithuanian State Science Prize (2001 & 2021)
- Honorary Doctor of the University of Latvia (2019)
- Knight's Cross of the Order “For Merit to Lithuania” (2007)
Doctoral Supervision & Committees
He has mentored 28 doctoral graduates (15 direct, 13 through academic descendants) and currently supervises:
- Dalia Breskuvienė – Classifier training-set optimization
- Modestas Motiejauskas – Emotion recognition in photographs
- Victor Bulava – Machine-learning methods for cyber-incident early detection
He also chairs or serves on doctoral and habilitation committees at VU, KTU, VGTU, VMU and MII.
Laboratory & Projects
As Head of the Cognitive Computing Group, Prof. Dzemyda coordinates several national and EU projects, including the current Lithuanian Research Council grant “Geometric Method for Multidimensional Scaling” (S-MIP-20-19, 2020-2022) and the SMART programme project “CognitiveSTATS” (2021-2023) focused on combating misinformation during pandemics. His team develops open-access tools for large-scale data visualization and contributes to the MIDAS national research-data archive.
