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Dr. Vangelis Metsis

  • Associate Professor - Computer Science
Portrait of Dr. Vangelis Metsis

Biography and education

Dr. Vangelis Metsis is an Associate Professor at the Department of Computer Science at Texas State University. 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 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 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.

Teaching Interests

Research Interests

  • Yang, Kecheng (Principal), Ngu, Hee Hiong (Co-Principal), Chen, Xiao (Supporting), Islam, Tanzima Z (Supporting), Metsis, Vangelis (Supporting), Hou, Tao (Supporting), Rathore, Heena (Supporting), Wang, Lu (Supporting), Queiroz de Farias, Mylene Christine (Supporting), Qasem, Apan Muhammad (Supporting). REU Site: Research Experiences for Undergraduates in Edge Computing, National Science Foundation (NSF), Federal, $389995. (Submitted: August 2021, Funded: March 1, 2022 - February 28, 2026). Grant.
  • Morley, Richard H (Principal), Smith, Kenneth Scott (Co-Principal), Metsis, Vangelis (Co-Principal), Trujillo, Logan Thomas (Co-Principal), Fulton, Cheryl Lisa (Co-Principal), Jantz, Paul B (Co-Principal), Bowman, Scott W (Co-Principal), Roche, Sean Patrick (Co-Principal). Exploring the intersection of mindfulness, stress, large-scale brain networks, bias, threat perception failure, and the decision to use deadly force using virtual reality, Texas State University, $16000. (Submitted: October 30, 2019, Funded: November 9, 2019 - Present). Grant.
  • Metsis, Vangelis (Principal), Percent Contribution: %33, Castro-Arellano, Ivan (Co-Principal), Percent Contribution: %33, Veech, Joseph A (Co-Principal), Percent Contribution: %33. BioStream: Developing Infrastructure for AI-Driven Wildlife Video Monitoring, TXST REP, Texas State University, $16000. (Funded: January 2025 - May 2026). Grant.
  • Metsis, Vangelis. NSF NAIRR - Advancing AI Research in Time Series Data Analysis, NSF, Federal, $28480. (Funded: November 2024 - June 2026). Grant.
  • Zhu, Jie (Principal), Shen, Xiaoxi (Co-Principal), Metsis, Vangelis (Co-Principal). One-carbon Metabolism Nutrients Intakes, Genetic Susceptibility, and Social Determinants in Association with Diabetes Incidence among the U.S. Hispanic Adults: HCHS/SOL, TXST CADS 2024 Catalyst Research Awards, Texas State Center for Analytics and Data Science, Texas State University, $1000. (Submitted: December 22, 2024, Funded: February 1, 2024 - December 31, 2024). Grant.
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  • Mauldin, T. R., Ngu, A. H. H., Metsis, V., & Canby, M. (2020). Ensemble Deep Learning on Wearables Using Small Datasets. ACM Transactions on Computing for HealthCare, 2. https://doi.org/https://doi.org/10.1145/3428666
  • Mauldin, T. R., Canby, M. E., Metsis, V., Ngu, H. H., & Rivera, C. C. (2018). Smartfall: A smartwatch-based fall detection system using deep learning. Sensors (Switzerland), 18(10). https://doi.org/10.3390/s18103363
  • Irani, H., & Metsis, V. (2025). Positional encoding in transformer-based time series models: a survey. arXiv preprint arXiv:2502.12370. arXiv.org. https://doi.org/10.48550/arXiv.2502.12370
  • Kermani, A., Irani, H., & Metsis, V. (2025). Finetuning Pre-trained Language Models for Bidirectional Sign Language Gloss to Text Translation. In Proceedings of the Workshop on Sign Language Processing (WSLP) (pp. 73--81). IIT Bombay, Mumbai, India (Co-located with IJCNLP--AACL 2025): Association for Computational Linguistics. Retrieved from https://aclanthology.org/2025.wslp-main.11/
  • Irani, H., Ghahremani, Y., Kermani, A., & Metsis, V. (2025). Time Series Embedding Methods for Classification Tasks: A Review. Expert Systems, 42(11). https://doi.org/10.1111/exsy.70148
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  • Award / Honor Nominee: Presidential Award in Teaching, Texas State University. 2022
  • Award / Honor Recipient: College of Science and Engineering Excellence in Teaching Award - Associate Professor, Texas State University - College of Science and Engineering (CoSE). 2022
  • Award / Honor Recipient: Alpha Chi Favorite Professor, Alpha Chi National Honor Society. November 20, 2020
  • Award / Honor Recipient: NSF Advancing Health Through Science Workshop - Aspiring PI Travel Award, National Science Foundation. January 6, 2020 - January 7, 2020
  • Award / Honor Recipient: College of Science and Engineering Excellence in Teaching Award - Assistant Professor, Texas State University - College of Science and Engineering (CoSE). 2019
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  1. Member

    Computing Alliance of Hispanic-Serving Institutions (CAHSI)

  2. Member

    Master's Program Committee

  3. Member

    Programming Contest Committee

  4. Member

    Faculty (TT) Search Committee

  5. Member

    PhD Program Committee

  6. Chair

    Space Committee

  7. View all activities