Evaldas Vaičiukynas is a professor at KTU Faculty of Informatics. During his doctoral studies, E. Vaičiukynas developed models for recognizing laryngeal pathology from the voice signal. The experience gained came in handy during the LMT project for voice detection of Parkinson’s disease. During the post-doctoral internship, big data and prognostics of Volvo truck sensors were analyzed for preventive maintenance.
Professor E. Vaičiukynas gained experience in computer vision and image analysis during the “Ianus” (microscopic images) and “Demeral” (seabed images) projects. An attempt was made to apply the survival analysis model to the data of the YNOT Media company for the prognostication of the success of the advertising campaign. The Scaf project has developed a universal solution for text analytics and text tagging. In the “Semantika 2” project, the best-known readability indices for Lithuanian language texts were implemented. In the Orivus project, various solutions for smart business were developed – sequence analysis, time series forecasting, clustering, and basket purchase detection. In the “Intelektas+ Rivilė” project (https://www.rivile.lt/esprojektai/dirbtinio-intelekot-projektas/) a complex time series forecasting solution was developed.
E. Vaičiukynas successfully supervised fifteen Master’s students in the Big Business Data study program on various topics. Constantly participates in Lithuanian AI community events, for example https://www.meetup.com/PyData-Kaunas/events/248987666/.