Faculty Profiles

Colleges and Departments

Dr. Jelena Tesic

  • Associate Professor - Computer Science
Portrait of Dr. Jelena Tesic

Biography and expertise

2004 Ph.D. in Electrical and Computer Engineering, University of California Santa Barbara
1999 M.Sc. in Electrical and Computer Engineering, University of California, Santa Barbara
1998 Dipl. Ing. Electrical Engineering, University of Belgrade, Serbia

Full bio: https://jtesic.github.io

Education

Doctorate Degree

PhD in Electrical and Computer Engineering

Univ of California, Santa Barbara, 2004

Master's Degree

MS in Electrical and Computer Engineering

Univ of California, Santa Barbara, 1999

Teaching Interests

Research Interests

Patents

  • “US9710760: Multi-facet classification scheme for cataloging of information artifacts.” Jelena Tesic.
    Date awarded: 07/18/2017, Date of renewal: 09/24/2032
  • “US8738695B2: Joint analysis of social and content networks.” Jelena Tesic.
    Date awarded: 05/27/2014, Date of renewal: 02/23/2032
  • “US7958068B2: Method and apparatus for model-shared subspace boosting for multi-label classification.” Jelena Tesic.
    Date awarded: 06/07/2011, Date of renewal: 12/06/2029
  • “US8032539B2: Method and apparatus for semantic assisted rating of multimedia content.” Jelena Tesic.
    Date awarded: 10/04/2011, Date of renewal: 05/29/2029
  • “US7818329B2: Method and apparatus for automatic multimedia narrative enrichment.” Jelena Tesic.
    Date awarded: 10/19/2010, Date of renewal: 03/24/2028
  • “US7707162B2: Method and apparatus for classifying multimedia artifacts using ontology selection and semantic classification.” Jelena Tesic.
    Date awarded: 04/27/2010, Date of renewal: 09/04/2027
  • Queiroz de Farias, Mylene Christine, Fritts, Sarah Rebecah, Tesic, Jelena. 2025 ExpandAI Catalyst Award: Advancing the Automation of Bat Monitoring for Sustainable Wind Energy Development, Texas State Center for Analytics and Data Science (TXST CADS), Texas State University, $6000. (Submitted: December 2, 2024, Funded: 2025 - Present). Grant.
  • Liu, Xiangping (Principal), Tesic, Jelena (Co-Principal), Balaji Bhaskar, Maruthi Sridhar (Co-Principal), Abongwa, Pride (Co-Principal), Jayachandran, Krishnaswamy (Co-Principal). Comprehensive Experiential Learnings to Promote Climate Resilient Agriculture for Under-Represented Minority Students, USDA NIFA HSI, Federal, $1200000. (Submitted: February 7, 2024, Funded: October 1, 2024 - September 2028). Grant.
  • Ekin, Tahir (Principal), Tesic, Jelena (Co-Principal), Qasem, Apan Muhammad (Co-Principal), Valles Molina, Damian (Co-Principal), Summers, Lucia (Co-Principal), Hewitt, Barbara A (Supporting), Liu, Xiangping (Supporting), Chang, Carolyn T (Supporting), Mendez, Francis A (Supporting), Irvin, Jennifer A (Supporting), Resendiz, Maria D (Supporting). Expanding AI Curriculum and Infrastructure at Texas State University to Advance Interdisciplinary Research and Grow a Diverse AI Workforce, National Science Foundation, Federal, $400000. (Submitted: June 2023, Funded: January 2024 - December 2026). Grant.
  • Faroughi, Salah Aldin (Principal), Tesic, Jelena (Co-Principal), Tiefenbacher, John P (Co-Principal). ESMs Latent Space Exploration for Uncertainty Quantification and Spatiotemporal Downscaling, DOE-BER, Federal, $150000. (Funded: August 2022 - June 2024). Grant.
  • Tesic, Jelena. Object Cueing Using Biomimetic Approaches to Visual Information Processing, NAVAIR, Federal, $199708. (Submitted: September 18, 2020, Funded: January 11, 2021 - December 17, 2022). Grant.
View all grants
  • Shebaro, M., & Tesic, J. (2025). ABCD: Algorithm for Balanced Component Discovery in Signed Networks. IEEE Access, 13, 166553–166568. https://doi.org/10.1109/access.2025.3612924
  • Biswas, D., & Tesic, J. (2025). MMVAD: A vision–language model for cross-domain video anomaly detection with contrastive learning and scale-adaptive frame segmentation. Expert Systems with Applications, 285, 127857. https://doi.org/10.1016/j.eswa.2025.127857
  • Scouten, A., Gong, H., Tesic, J., & Wang, F. (2025). Deep Learning Pipeline for Modeling Pavement Cracks with an Imbalanced Dataset (MoPaC). Washington, DC, United States.
  • Elizondo, M., Yu, J., Payan, D., Feng, L., & Tesic, J. (2025). Novel Considerations in the ML/AI Modeling of Large-Scale Learning Loss. IEEE Access, 13, 7780–7792. https://doi.org/10.1109/access.2025.3526412
  • Biswas, D., & Tesic, J. (2024). Domain Adaptation with Contrastive Learning for Object Detection in Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing, 62, 1–15. https://doi.org/10.1109/tgrs.2024.3391621
View all scholarly/creative works
  • Award / Honor Recipient: College Service Award, CoSE. September 2017 - May 2023
  • Award / Honor Recipient: IBM First Plateau Invention Achievement Award in appreciation and recognition of creative contributions to IBM progress. July 2007
  • Award / Honor Recipient: IBM Research Division Technical Group Award has been presented for Image Filtering Benchmark Team Award. February 2007
  • Award / Honor Recipient: IBM Research Division Award for Multimedia Analysis and Retrieval System. 2006
  • Award / Honor Recipient: IBM Award of Distinction for voluntarism. March 2006
View all awards
  1. Member

    Digital Humanities Hiring Committee

  2. Organizer

    AI ML Course Flow for CS Undergraduate and Master Programs

  3. Co-Chair

    Center for Data Analytics And Science (TXST CADS)

  4. Member

    AI Math CS Hiring Committee

  5. Member

    TXST CADS PM hiring committee

  6. Graduate Advisor

    CoSE Fall Commencement

  7. View all activities