Research Projects: DataLab12.gitHub.io

Research Opportunities

Ph.D. student should apply through the TXST Portal.
Undergraduate and M.Sc. students:
1. Take at least one course Dr. Tešić instructs and place in top 10 in the class
2. Apply for the independent study research the next semester and under Dr. Tešić's supervision, and demonstrate meaningful progress on the project.
3. Contact Dr. Tešić for the follow up opportunities.

Courses

Listed only the last semester taught
Introduction to Machine Learning: Fall 2026
: Fall 2026
Introduction to Recommender Systems: Fall 2024
Image Processing and Computer Vision (Ph.D.): Spring 2025
Data-Driven Computational Methods (Ph.D): Fall 2024
Object Oriented Design and Programming: Spring 2023
Machine Learning and Applications (M.Sc.): Fall 2021

2023 Narratives

ResearchTeachingService

Short Bio

Jelena Tešić is an Associate Professor in the Department of Computer Science and a founding member and a research lead in the Center for Analytics and Data Science at the Texas State Unviersity in San Marcos, Texas, USA. From 2009 to 2017 Dr. Tešić was a senior research scientist @ Mayachitra Inc. in California. From 2004 to 2009, Dr. Tešić was a Research Staff Member at IBM Watson Research Center in New York.
Dr. Tešić received her Ph.D. (2004), M.Sc. (1999) in Electrical and Computer Engineering from University of California Santa Barbara, CA, USA, and Dipl. Ing. (1998) in Electrical Engineering from University of Belgrade, Serbia. Dr. Tešić's research is to develop novel AI methods and scalable algorithms for analyzing large, unstructured multi-modal multi-source data at scale.
She holds seven U.S. patents: 12,093,970; 9,710,760; 8,738,695; 8,032,539; 7,958,068; 7,818,329; and 7,707,162. Her research has been sponsored by DoD, DoE, NSF, TxDoT, and the industry. Dr. Tešić is a co-organizer of the 2027 ACM ICMR and 2028 ACMMM Sys. She is an IEEE and NAI senior member, with an h-index of 24 and an i10-index of 43, per Google Scholar.