Faculty Profiles

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 received his Bachelor of Science degree in Computer Science in 2005 from the Department of Informatics of Athens University of Economics and Business in Greece, and his Doctoral degree in 2011 from the Department of Computer Science and Engineering of The University of Texas at Arlington. Dr. Metsis’ interests span the areas of Machine Learning and Deep Learning 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 received federal support and has a strong publication record in related research areas, such as human activity and behavior analysis, human-computer interaction, and motion tracking using sensors, sleep monitoring, and human biosignal analysis.

Machine Learning and Deep Learning with a focus on human-centric AI applications in Healthcare, Pervasive Computing, Affective Computing, and VR/AR-based Therapy. His work addresses challenges in time-series analysis and multimodal biosignal processing, including novel generative AI methods for data augmentation and inputation, robust deep learning architectures for temporal data, and intelligent IoT environments that monitor, assist, and rehabilitate users.

Primary Interests: Machine Learning, Deep Learning, Computer Vision, Human-Computer Interaction, Algorithms & Data Structures, Object Oriented Programming.
Secondary Interests: Discrete Mathematics, Databases, Introductory Computer Science and Programming courses.