PeopleofSuperintelligence

Researcher

Robertas Damaševičius

Robertas Damaševičius is a computer scientist whose AI research spans biometrics, disease forecasting, and medical imaging. He earned a PhD in informatics engineering from Kaunas University of Technology in 2005. His work includes EEG biometric authentication, a neural-network predictor of COVID-19 spread, and deep-learning systems for brain-tumor classification and skin-lesion segmentation. He gave a FedCSIS keynote on AI-driven brain cancer research in 2025. As of October 2026, he heads KTU’s Real-Time Computer Systems Centre, serves as a professor, and chairs the doctoral committee for informatics engineering.

Now at
Kaunas University of Technology, Vytautas Magnus University and Silesian University of Technology
Works
823

Publication numbers from OpenAlex, as of 22 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2005

    A PhD in informatics engineering

    In 2005, he earns a PhD in informatics engineering from Kaunas University of Technology.

  2. 2018

    EEG biometric authentication

    In 2018, he coauthors an EEG biometric authentication method based on the discrete logarithm problem and BCH codes.

  3. 2020

    COVID-19 spread prediction

    In December 2020, he coauthors a real-time neural-network predictor of COVID-19 spread that uses geolocation and numerical data from the previous two weeks.

  4. 2020

    Brain-tumor classification

    In 2020, he coauthors a multimodal deep-learning method for brain-tumor classification that uses VGG16 and VGG19 for feature extraction.

  5. 2021

    Skin-lesion segmentation

    In 2021, he coauthors an automated method for skin-lesion segmentation and classification that uses a ten-layer convolutional neural network for saliency segmentation.

  6. 2025

    Professor and adjunct roles

    In 2025, he is a professor at the Software Engineering Department of Kaunas University of Technology and the Applied Informatics Department of Vytautas Magnus University, and an adjunct at Silesian University of Technology.

  7. 2025

    AI in brain cancer research

    At FedCSIS in 2025, he gives a keynote on AI-driven brain cancer research, with tumor-type classification and automated tumor-region segmentation as topics.

  8. As of October 2026

    Head of KTU systems centre

    As of October 2026, he works in computer science, heads KTU’s Real-Time Computer Systems Centre, serves as a professor, and chairs the doctoral committee for informatics engineering.

Career

  1. Since 2025Kaunas University of TechnologyProfessor
  2. From 2025Vytautas Magnus UniversityProfessor
  3. From 2025Silesian University of TechnologyAdjunct

Education

  1. 2005Kaunas University of TechnologyPhD

From the biography.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Silesian University of Technology. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  2. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  3. The United States employs an estimated 48% of people shaping AIWe estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  4. 43% of living people shaping AI work outside their country of birthWe estimate that 43% of living people shaping AI work outside their country of birth (520 of 1,198 people with known birth and employment countries).

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Navigating Education 5.0 into the Metaverse: Educational Technologies of the ... - Robertas Damaševičius - Google Buku books.google.com. Checked 20 October 2026.
  2. Combining Cryptography with EEG Biometrics pmc.ncbi.nlm.nih.gov. Checked 20 October 2026.
  3. Real-time neural network based predictor for cov19 virus spread journals.plos.org. Checked 20 October 2026.
  4. Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists pmc.ncbi.nlm.nih.gov. Checked 20 October 2026.
  5. Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization pmc.ncbi.nlm.nih.gov. Checked 20 October 2026.
  6. Damaševičius, Robertas | FedCSIS 2025 2025.fedcsis.org. Checked 20 October 2026.
  7. KTU researchers in Research.com 2026 rankings - Infoerdve infoerdve.lt. Checked 20 October 2026.