Vangelis Metsis
Associate Professor of Computer Science, Texas State University

Comal Bldg, Room 307F
601 University Drive
San Marcos, TX 78666
Phone: 512-245-7509
Dr. Vangelis Metsis is an Associate Professor in the Department of Computer Science at Texas State University and the Director of the Intelligent Multimodal Computing and Sensing (IMICS) Lab. He joined the department in August 2014.
Dr. Metsis earned his Ph.D. in Computer Science from the University of Texas at Arlington (UTA) in 2011, focusing on human-centered multimodal data analysis. He holds a B.S. with honors in Computer Science from the Department of Informatics at the Athens University of Economics and Business (AUEB) in Greece.
Dr. Metsis’ interests span the areas of Machine Learning and Computer Vision with a focus on AI-powered applications of Smart Health, Pervasive Computing, Affective Computing, and Human-AR/VR Interaction. He develops and uses methods and tools to analyze and extract meaningful information from time-series sensor data and human physiological and behavioral data using non-invasive wearable sensors.
He has secured numerous research grants as both Principal Investigator and Co-Principal Investigator, with funding from the NSF, U.S. Department of Education, and industry partners. Dr. Metsis has published extensively in peer-reviewed journals and conferences, with over 70 publications to his name.
Dr. Metsis is actively involved in the academic community, serving on program committees for various conferences and as a referee for multiple prestigious journals. He has also chaired and organized several workshops and special sessions at international conferences.
Recognized for his dedication to teaching and mentoring, Dr. Metsis has advised multiple Ph.D. and Master’s students, as well as numerous undergraduate researchers. His teaching experience spans a wide range of computer science courses, from introductory programming to advanced topics in machine learning and computer vision. He was named an Alpha Chi Favorite Professor in 2020.