# Jelena Tešić

> computer scientist

**Wikidata**: [Q114959204](https://www.wikidata.org/wiki/Q114959204)  
**Source**: https://4ort.xyz/entity/jelena-tesic

## Summary
Jelena Tešić is a computer scientist specializing in machine learning, currently affiliated with Texas State University. She holds a PhD in computer science from the University of California, Santa Barbara and has contributed to academic research in the field.

## Biography
- Born: [Not specified]
- Nationality: [Not specified]
- Education: Doctor of Philosophy in computer science, University of California, Santa Barbara (2004)
- Known for: Research in machine learning and contributions to academic computer science
- Employer(s): Texas State University
- Field(s): Machine learning

## Contributions
Jelena Tešić has made significant contributions to the field of machine learning through her academic research. She is associated with Texas State University, where she works as a researcher and educator. Her work has been documented in various academic databases, including DBLP, ResearchGate, and Google Scholar. She has published research in machine learning, leveraging her expertise to advance the field through scholarly work.

## FAQs
### Q: What is Jelena Tešić's area of specialization?
A: Jelena Tešić specializes in machine learning, focusing on algorithms and statistical models used in computational tasks.

### Q: Where did Jelena Tešić complete her doctoral studies?
A: She earned her PhD in computer science from the University of California, Santa Barbara in 2004.

### Q: What academic institutions has Jelena Tešić been affiliated with?
A: She is currently affiliated with Texas State University and previously completed her doctoral studies at the University of California, Santa Barbara.

### Q: How can one access Jelena Tešić's research publications?
A: Her research can be accessed through academic databases such as DBLP, ResearchGate, Google Scholar, and Academia.edu.

### Q: What is Jelena Tešić's professional role at Texas State University?
A: She serves as a researcher and educator in the Computer Science Department at Texas State University.

## Why They Matter
Jelena Tešić's work in machine learning contributes to the development of algorithms and statistical models that enhance computational efficiency and accuracy. Her research has influenced academic discourse and may inspire future advancements in artificial intelligence. By integrating her expertise into educational programs, she supports the next generation of computer scientists, ensuring continued innovation in the field.

## Notable For
- Specializes in machine learning, focusing on algorithms and statistical models.
- Earned her PhD from the University of California, Santa Barbara in 2004.
- Currently affiliated with Texas State University as a researcher and educator.
- Research accessible through multiple academic databases, including DBLP and Google Scholar.
- Contributes to academic research in machine learning, advancing computational tasks.

## Body
### Education
Jelena Tešić completed her Doctor of Philosophy in computer science at the University of California, Santa Barbara in 2004. Her doctoral work laid the foundation for her subsequent research in machine learning.

### Academic Affiliations
She is currently associated with Texas State University, where she serves as a researcher and educator in the Computer Science Department. Her academic appointments reflect her commitment to advancing machine learning through both research and teaching.

### Research Focus
Her research primarily focuses on machine learning, with a particular emphasis on developing algorithms and statistical models that improve computational efficiency and accuracy. This work has been documented in various academic databases, ensuring broad accessibility to her contributions.

### Professional Contributions
Jelena Tešić's professional contributions include publishing research in machine learning, which has been recognized in academic platforms such as DBLP, ResearchGate, and Google Scholar. Her work has influenced academic discourse and may inspire future advancements in artificial intelligence.

### Impact on the Field
By integrating her expertise into educational programs, Jelena Tešić supports the next generation of computer scientists. Her research not only enhances the field of machine learning but also contributes to the broader goals of computational innovation and efficiency.

## References

1. [Source](https://userweb.cs.txstate.edu/~j_t463/)