Faculty Profile for Dr. Jelena Tesic

profile photo for Dr. Jelena Tesic
Dr. Jelena Tesic
Associate Professor — Computer Science
CMAL 211
phone: (512) 245-3409
Scholarly/Creative Work
Awards
Grants
Service

Biography Section

Biography and Education

 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

Teaching Interests

 Network Science; Data Science; Machine Learning; Algorithms; Computer Vision;

Research Interests

 Dr. Tešić's research project spans topics in machine learning and data science for large unstructured imagery, social, health, and sensor data sources. More details on the current projects can be found on https://DataLab12.github.io page.

Selected Scholarly/Creative Work

  • Shebaro, M., Nogueira, L., & Tesic, J. (2024). Improving Association Discovery through Multiview Analysis of Social Networks. Social Network Analysis and Mining. https://doi.org/https://doi.org/10.1007/s13278-023-01197-3
  • Tomasso, M. E., Rusnak, L. J., & Tesic, J. (2022). Advances in Scaling Community Discovery Methods for Large Signed Graph Networks. Network Science, 10(3). https://doi.org/10.1093/comnet/cnac013
  • Strauch, G., Lin, J., & Tesic, J. (2022). Overhead Projection Approach For Multi-Camera Vessel Activity Recognition. In Proceedings of IEEE International Conference on Big Data (pp. 5626–5632). IEEE. https://doi.org/10.1109/BigData52589.2021.9671274
  • Rusnak, L. J., & Tesic, J. (2021). Characterizing Attitudinal Network Graphs through Frustration Cloud. Data Mining and Knowledge Discovery, 35(6), 2498–2539. https://doi.org/10.1007/s10618-021-00795-z
  • Tesic, J., Warren, N., & Heyse, D. B. (2019). Identifying maritime vessels at multiple levels of descriptions using deep features. In Artificial Intelligence and Machine Learning for Multi-Domain Operations (Vol. 11006). United States. https://doi.org/https://doi.org/10.1117/12.2519248

Selected Awards

  • 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

Selected Grants

  • 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 2025). 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.
  • Tesic, Jelena. NAVAIR SBIR N14A-T008, Navy, Federal, $307005. (Submitted: October 15, 2017, Funded: March 19, 2018 - August 31, 2020). 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.

Selected Service Activities

Member
TXST CADS PM hiring committee
November 10, 2023-December 31, 2023
Co-Chair
Center for Data Analytics And Science (TXST CADS)
June 6, 2022-December 31, 2023
Graduate Advisor
CoSE Fall Commencement
December 10, 2022-December 10, 2023
Member
Dean Search Committee
November 8, 2022-May 31, 2023
Graduate Advisor
Ph.D. Student Committee Recommendation
October 31, 2022-May 1, 2023