cv

For a complete CV, please download the PDF above.

General Information

Full Name Vangelis Metsis
Position Associate Professor
Institution Department of Computer Science, Texas State University
Email vmetsis@txstate.edu
Website cs.txstate.edu/~v_m137

Education

  • 2007 - 2011
    Ph.D. in Computer Science and Engineering
    The University of Texas at Arlington, Arlington, TX
    • Dissertation: A Computational Framework for Human-Centered Multimodal Data Analysis
    • Advisers: Prof. Fillia Makedon & Prof. Heng Huang
  • 2001 - 2005
    B.S. in Informatics (with honors)
    Athens University of Economics and Business, Athens, Greece
    • Awarded Summa cum Laude.
    • Honored as student with the highest GPA in graduating class.
    • Major: Computer Science
    • Minor: Information Systems and Management

Experience

  • 2020 - present
    Associate Professor
    Computer Science, Texas State University, San Marcos, TX
  • 2014 - 2020
    Assistant Professor
    Computer Science, Texas State University, San Marcos, TX
  • 2012 - 2014
    Faculty Research Associate
    CSE Department, University of Texas at Arlington, Arlington, TX
  • 2008 - 2014
    CSE Website Webmaster/Systems Administrator
    University of Texas at Arlington, Arlington, TX
  • 2007 - 2011
    Graduate Research Assistant
    University of Texas at Arlington, Arlington, TX
  • 2006 - 2007
    Research Associate
    National Center for Scientific Research "Demokritos", Greece
    • Research for the European Commission-funded project "MedIEQ".
  • 2006 - 2007
    E-Class CMS Webmaster
    Athens University of Economics and Business, Athens, Greece
  • 2005
    CS Labs - Systems Administrator Assistant
    Athens University of Economics and Business, Athens, Greece

Research Interests

  • Areas
    • Machine Learning and Computer Vision with a focus on AI-powered applications of Smart Health, Pervasive Computing, Affective Computing, and Human-AR/VR Interaction.
  • Data Domains
    • Time-series Sensor Data, Human Physiological and Behavioral Data, Human-centered Visual, Audio, and Text data.

Teaching Interests

  • Machine Learning & Deep Learning, Computer Vision, Human-Computer Interaction, Algorithms & Data Structures, Object Oriented Programming, Data Mining

Teaching Experience

  • Courses Taught at Texas State University
    • Human-Centric Deep Learning (CS 7389H)
    • Image Processing & Computer Vision (CS 7323)
    • Advanced Machine Learning & Pattern Recognition (CS 7313)
    • Algorithm Design and Analysis (CS 5329)
    • Human Factors of Computer Systems (CS 4326/5326)
    • Intro to Machine Learning / Computer Vision (CS 4347/4337)
    • Data Structures (CS 3358)
    • Foundations of Computer Science II (CS 2308)
  • Courses Taught at The University of Texas at Arlington
    • Design & Analysis of Algorithms (CSE 5311)
    • Algorithms & Data Structures (CSE 2320)

Student Advising

  • Ph.D. Dissertation Advising
    • Successfully advised 4 Ph.D. students to completion.
  • Master Thesis Advising
    • Supervised 7 Master’s students on their thesis research.
  • Undergraduate Research & High School Mentoring
    • Mentored over 37 undergraduate students in Independent Study, Honors Thesis, and NSF REU projects.
    • Mentored over 10 High School students in research projects for the Texas State University MathWorks Program.

Funded Research

  • As Principal Investigator (PI)
    • Graduate Assistance in Areas of National Need (GAANN). Sponsored by U.S. Department of Education, Federal, $728,150 (2021 - 2025).
    • REU Site: Research Experiences for Undergraduates in Smart & Connected Communities. Sponsored by NSF, Federal, ~$380,000 (2018 - 2023).
    • High Performance Computing GPU Server for Machine Learning Research. Sponsored by MARC, Texas State University, $49,512 (2022 - 2023).
    • Advancing AI Research in Time Series Data Analysis. Sponsored by NSF NAIRR, Federal, $28,480 (2024 - 2025).
    • MIRG: Using Virtual Reality Exposure Treatment to Address PTSD Symptoms in Veterans. Sponsored by MIRG, Texas State University, $25,000 (2016 - 2018).
    • BioStream: Developing Infrastructure for AI-Driven Wildlife Video Monitoring. Sponsored by TXST REP, $16,000 (2025 - 2026).
  • As Co-Principal Investigator (Co-PI)
    • I/UCRC Phase I: iPerform - I/UCRC for Assistive Technologies to Enhance Human Performance. Sponsored by NSF, Federal, $622,000 (2014-2020).
    • EAGER: An Exploratory Pilot Project to Build Human-Centric Physical Activity Monitoring Tools. Sponsored by NSF, Federal, $170,026 (2012 - 2014).
    • CI-P: Planning for SMART-MOVE: A Spatiotemporal Annotated Human Activity Repository. Sponsored by NSF, Federal, $116,000 (2014 - 2017).
    • Workshop & Travel Grants for PETRA Conference Series (2012-2017). Sponsored by NSF, Federal, >$100,000.
    • Just-in Time VR Training for EMS AMBUS Personnel. Sponsored by US Ignite / Smart Gigabit Communities, ~$29,000 (2018 - 2019).
    • Exploring Psychophysiological and Perceived Health-Related Behaviors Among Transgender People. Sponsored by MIRG, Texas State University, $28,110 (2021 - 2024).
  • As Supporting / Senior Personnel
    • The Accelerating Credentials for the Texas Innovation Corridor (TIC) Consortium Grant. Sponsored by THECB, State, $1,450,000 (2022 - 2022).
    • MRI Collaborative: Development of iRehab, an Intelligent Closed-Loop Instrument. Sponsored by NSF, Federal, $815,890 (2013 - 2017).
    • REU Site: Research Experiences for Undergraduates in Edge Computing. Sponsored by NSF, Federal, $389,995 (2022 - 2026).
    • R03: A longitudinal machine learning approach to prevent military suicide. Sponsored by AHRQ, Federal, $49,410 (2023 - 2025).

Selected Publications

  • Journal Publications
    • Li, X., Sakevych, M., Atkinson, G., and Vangelis Metsis (2024). Biodiffusion: A versatile diffusion model for biomedical signal synthesis. Bioengineering, 11(4). DOI
    • Byers, M., Trahan, M., Nason, E., Eigege, C., Moore, N., Washburn, M., and Vangelis Metsis (2023). Detecting Intensity of Anxiety in Language of Student Veterans with Social Anxiety Using Text Analysis. Journal of Technology in Human Services. DOI
    • Ngu, A. H., Vangelis Metsis, Coyne, S., Srinivas, P., Salad, T., Mahmud, U., and Chee, K. H. (2022). Personalized Watch-Based Fall Detection Using a Collaborative Edge-Cloud Framework. International Journal of Neural Systems. DOI
    • Mauldin, T., Ngu, A. H., Vangelis Metsis, and Canby, M. E. (2020). Ensemble Deep Learning on Wearables Using Small Datasets. ACM Transactions on Computing for Healthcare, 2(1). DOI
    • Vangelis Metsis, Lawrence, G., Trahan, M., Smith, K. S., Tamir, D., and Selber, K. (2019). 360 Video: A prototyping process for developing virtual reality interventions. Journal of Technology in Human Services, 37(1). DOI
    • Mauldin, T. R., Canby, M. E., Vangelis Metsis, Ngu, A. H., and Rivera, C. C. (2018). SmartFall: A smartwatch-based fall detection system using deep learning. Sensors, 18(10). DOI
    • Malhotra, A., Schizas, I. D., and Vangelis Metsis (2018). Correlation analysis-based classification of human activity time series. IEEE Sensors Journal, 18(19). DOI
    • Ngu, A. H., Gutierrez, M., Vangelis Metsis, Nepal, S., and Sheng, Q. Z. (2016). IoT middleware: A survey on issues and enabling technologies. IEEE Internet of Things Journal, 4(1). DOI
    • Vangelis Metsis, Makedon, F., Shen, D., and Huang, H. (2013). DNA copy number selection using robust structured sparsity-inducing norms. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(1). DOI
    • Doukas, C., Vangelis Metsis, Becker, E., Le, Z., Makedon, F., and Maglogiannis, I. (2011). Digital cities of the future: Extending@ home assistive technologies for the elderly and the disabled. Telematics and Informatics, 28(3). DOI
  • Conference Publications
    • De, B., Sakevych, M., and Vangelis Metsis (2024). The Impact of Data Augmentation on Time Series Classification Models: An In-Depth Study with Biomedical Data. International Conference on Artificial Intelligence in Medicine. DOI
    • Irani, H. and Vangelis Metsis (2024). Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy. The International FLAIRS Conference Proceedings. DOI
    • Hinkle, L. B., Pedro, T., Lynn, T., Atkinson, G., and Vangelis Metsis (2023). Assisted Labeling Visualizer (ALVI): A Semi-Automatic Labeling System For Time-Series Data. IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops. DOI
    • Katrompas, A. and Vangelis Metsis (2023). Temporal Attention Signatures for Interpretable Time-Series Prediction. International Conference on Artificial Neural Networks. DOI
    • Katrompas, A., Ntakouris, T., and Vangelis Metsis (2022). Recurrence and Self-attention vs the Transformer for Time-Series Classification: A Comparative Study. International Conference on Artificial Intelligence in Medicine. DOI
    • Li, X., Vangelis Metsis, Wang, H., and Ngu, A. H. H. (2022). TTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network. International Conference on Artificial Intelligence in Medicine. DOI
    • Hinkle, L. B. and Vangelis Metsis (2021). Model Evaluation Approaches for Human Activity Recognition from Time-Series Data. International Conference on Artificial Intelligence in Medicine. DOI
    • Hinkle, L., Khoshhal, K., and Vangelis Metsis (2019). Physiological Measurement for Emotion Recognition in Virtual Reality. 2nd International Conference on Data Intelligence and Security (ICDIS). DOI
    • Anderson, A., Hsiao, T., and Vangelis Metsis (2017). Classification of emotional arousal during multimedia exposure. 10th International Conference on PErvasive Technologies Related to Assistive Environments. DOI
    • Espiritu, H. and Vangelis Metsis (2015). Automated detection of sleep disorder-related events from polysomnographic data. 2015 International Conference on Healthcare Informatics (ICHI). DOI
    • Vangelis Metsis, Schizas, I. D., and Marshall, G. (2015). Real-time subspace denoising of polysomnographic data. 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments. DOI
    • Vangelis Metsis, Androutsopoulos, I., and Paliouras, G. (2006). Spam filtering with naive bayes-which naive bayes?. Third Conference on Email and Anti-Spam (CEAS). PDF
    • … for a full list, please see the publications page.

Professional Activities

  • Conference & Workshop Organization
    • General Chair, Workshops for PETRA 2017
    • Program Committee Co-Chair, PETRA 2015, 2016
    • Doctoral Consortium Chair, IEEE ICHI 2015
    • Workshop Co-Chair for IEEE PerCom 2018 and AffectVR @ PETRA 2021
    • Organizer for multiple NSF Panels and Doctoral Consortiums
  • Editorial Roles
    • Guest Editor, MDPI Technologies Journal (2018 - 2019)
    • Guest Editor, MDPI Sensors Journal (2015 - 2020)
  • Program Committee Member
    • Top-tier AI/ML conferences including AAAI, AISTATS, KDD, and ACM Multimedia
    • Leading HCI & Pervasive Computing venues such as IEEE FG, PETRA (2008-Present), and iWOAR
    • Specialized conferences including IEEE ICHI, ICANN, and AIAI
  • Journal Reviewer Service
    • IEEE Transactions: Affective Computing (TAC), Knowledge and Data Engineering (TKDE), Mobile Computing (TMC), and Service Computing
    • ACM Transactions: Computing for Healthcare (HEALTH)
    • Premier journals including Journal of Machine Learning Research (JMLR), Springer AI Review, and Elsevier Expert Systems with Applications
    • Broad service to numerous other Elsevier, Springer, and MDPI journals
  • Grant Proposal Review
    • National Science Foundation (NSF): Multiple panels including SCH, SBIR, CPS, and AI Ready Programs.

Honors and Awards

  • 2024 - 2025
    • THRC Faculty Fellow for Health and Economic Resilience Research, Translational Health Research Center, Texas State University
  • 2022
    • Presidential Award in Teaching, Texas State University
    • College of Science and Engineering Excellence in Teaching Award - Associate Professor, Texas State University
  • 2020
    • Alpha Chi Favorite Professor, Alpha Chi National Honor Society
    • NSF Aspiring PI Travel Award, National Science Foundation
  • 2019
    • College of Science and Engineering Excellence in Teaching Award - Assistant Professor, Texas State University
  • 2018
    • Google Faculty in Residence (FIR) Fellowship
  • 2008 - 2011
    • Multiple NSF Student Conference Travel Awards (PETRA Conference)
  • 2008
    • Q-Invest Graduate Student Fellowship
  • 2006 - 2007
    • Demokritos Research Fellow, NCSR "Demokritos"