معرفی
Assoc. Prof. Dr. Gintautas Tamulevičius serves as Director of the Institute of Data Science and Digital Technologies at Vilnius University. His primary affiliation is with the Image and Signal Analysis Group, where he contributes as a Senior Researcher and Chief Researcher in projects.
- Doctor of Science in Technology (2008)
- Pedagogical Title: Associate Professor (2014, Vilnius Gediminas Technical University)
- Active in IEEE Computer Society and Signal Processing Society
Dr. Tamulevičius specializes in speech signal processing, with research spanning three core domains:
- Speech Modeling: Autoregressive/linear prediction, nonlinear fractal modeling, non-parametric approaches
- Recognition Systems: Deep learning-based methods, Hidden Markov models, Wave-U-Net architectures
- Quality Assessment: Voice phonation evaluation, vocal fold condition analysis using acoustic methods
His publication trends show strong focus on:
- Deep learning applications for speech processing
- 2D feature space analysis for recognition tasks
- Fractal dimension-based emotion classification
- Language preservation through technological development
- Human-centered AI applications
- Biomedical signal processing
As an educator, he has taught:
- Digital Signal Processing (VGTU 2012–present)
- Speech Signal Processing (VGTU 2008–present)
- Data Visualization (VGTU 2015)
- User Interface Design (VU 2018–present)
- Audio Signal Processing (VU 2020–present)
His editorial contributions include reviewing for:
- Informatica
- IEEE Access
- Neurocomputing
- Baltic Journal of Modern Computing
- Nonlinear Analysis: Modeling and Control
- IEEE Journal of Biomedical and Health Informatics
- International Journal of Applied Mathematics and Computer Sciences
He has supervised doctoral research including:
- Daniel Zakševski (2023–2027): Deep learning models for speech enhancement
- Monika Danilovaitė (2020–2026): Voice quality assessment methods
- Tatjana Liogienė (2012–2016): Multistage speech emotion classification
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