Jelena Tešić
Assistant Professor Computer Science Department College of Science and Engineering Texas State University
Pronunciation: Yeh-LE-nah TE-shich Contact: jtesic -at- txstate.edu Publications and Patents: Google Scholar
Ph.D. (2004), M.Sc. (1999), Electrical and Computer Engineering, University of California Santa Barbara, CA, USA. Dipl. Ing. (1998) Electrical Engineering, University of Belgrade, Serbia.
Research
Dr. Tešić's research project span 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 DataLab12 page.
Teaching
CS 7311 Data-Driven Computational Methods
Fall 2021 git and canvas; Fall 2020; Fall 2019; Fall 2018.
CS 5369L Machine Learning and Applications
Fall 2021 git and canvas.
CS 4347 Introduction to Machine Learning
Fall 2021 git,canvas,and syllabus.
CS 3354 Object Oriented Programming
Spring 2021; Fall 2020; Spring 2020; Fall 2019; Spring 2019; Fall 2018; Spring 2018; and Fall 2017 sillabi.
Research Credits
CS 7387 Research in Computer Science: Spring 2021; Summer 2021; Spring 2019.
CS 5399 Thesis: Fall 2020; Spring 2020.
CS 4395/5395 Independent Study: Fall 2019; Summer 2019.
Service
CS3354 Course Coordinator
NSF REU (2018-2021) advisor
Mathworks (2019, 2020) mentor
SURE (2020-2021) research advisor
Short Bio
Jelena Tešić is an Assistant Professor, Department of Computer Science, Texas State Unviersity, San Marcos, Texas, USA. From 2009 to 2017 Dr. Tešić was a senior research scientist @ Mayachitra Inc. From 2014 to 2017, she led research project on bio-inspired methods and deep learning for object and activity recognition in aerial imagery. From 2009 to 2014 Dr. Tešićled the research efforts on scaling multimedia indexing, search and retrieval for large image and video repositories within DARPA VIRAT and IARPA FINDER projects. From 2004 to 2009, Dr. Tešić was a Research Staff Member at IBM T. J. Watson Research Center, Yorktown, NY. There, she worked on developing systems for multimedia data management and its various applications; addressed selected research topics in the areas of scalable content information modeling, collaborative tagging of multimedia, and mining of content networks; and contributed to the to the top performance of the IBM team in NIST benchmark TRECVID. 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 served as an Area Chair for ACM Multimedia 2019, 2020, 2021, IEEE ICIP 2019, and IEEE ICME 2018 and 2019. Prior, she has served as Guest Editor in a Special Issue on Collaborative Tagging of Multimedia, in IEEE Multimedia Magazine, July-September 2008 issue, and as a reviewer for numerous IEEE and ACM Journals. She has authored over 30 scientific papers, and currently holds 6 U.S. patents: 9,710,760; 8,738,695; 8,032,539; 7,958,068; 7,818,329; and 7,707,162.publications