Vangelis Metsis is an Associate Professor of Computer Science at Texas State University specializing in machine learning, data mining, and computer vision with applied focus on smart health, assisted living, and multimodal biosignal analysis. He leads the IMICS lab, which combines diverse sensors and high-throughput processing to enable projects such as unobtrusive sleep monitoring and physiological-based emotion detection. With a Ph.D. in machine learning and a steady record of federally funded research, he translates academic rigor into practical sensing systems and human-centered assistive technologies. His background includes industry-academic engagement as a Google Faculty in Residence and multi-year research roles at UT Arlington, reflecting a blend of systems development, human-computer interaction, and applied AI. Notably, his lab emphasizes end-to-end sensing infrastructure—hardware, software, and analytics—bridging gaps often left between prototype algorithms and deployable health technologies.
8 years of coding experience
14 years of employment as a software developer
Informatics, Computer Science, 8.64/10, Informatics, Computer Science, 8.64/10 at Athens University of Economics and Business
Doctor of Philosophy (Ph.D.), Machine Learning, Data Mining, Bioinformatics, Smart Systems, Doctor of Philosophy (Ph.D.), Machine Learning, Data Mining, Bioinformatics, Smart Systems at The University of Texas at Arlington
Contributions:66 pushes, 1 branch in 1 year 6 months
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