# Mohammabagher Fotouhi

> master of Computer Science & Engineering, University of Washington, 2019

**Wikidata**: [Q113667862](https://www.wikidata.org/wiki/Q113667862)  
**Source**: https://4ort.xyz/entity/mohammabagher-fotouhi

## Summary  
Mohammabagher Fotouhi is a computer scientist who earned a master’s degree in Computer Science & Engineering from the University of Washington in 2019. He is known for his graduate research on acoustic localization, presented in his thesis *Toward an Accurate Acoustic Localization System*.

## Biography  
- **Born:** –  
- **Nationality:** –  
- **Education:** Master’s degree in Computer Science & Engineering, University of Washington (2019)  
- **Known for:** Research on accurate acoustic localization systems  
- **Employer(s):** –  
- **Field(s):** Computer science, computer engineering, acoustic signal processing  

## Contributions  
Mohammabagher Fotouhi’s principal scholarly output is his 2019 master’s thesis, *Toward an Accurate Acoustic Localization System*. The work investigates algorithms and sensor configurations that improve the precision of locating sound sources in indoor environments. By integrating techniques from both computer science and computer engineering, the thesis proposes a framework that reduces localization error compared with prior methods. Although the thesis itself is the only documented product, it contributes to the broader research community’s understanding of acoustic signal processing, offering a foundation for future developments in areas such as smart‑room audio, robotics navigation, and human‑computer interaction. The research was conducted under the supervision of Wei Cheng, linking Fotouhi to a lineage of scholars focused on signal processing and machine learning. The thesis is archived in the University of Washington’s repository, making the methodology and experimental results publicly accessible for citation and further study.

## FAQs  
### Q: What degree did Mohammabagher Fotouhi obtain?  
**A:** He earned a master’s degree in Computer Science & Engineering from the University of Washington in 2019.  

### Q: What was the title of his graduate thesis?  
**A:** *Toward an Accurate Acoustic Localization System*.  

### Q: Who supervised his master’s research?  
**A:** His work was supervised by Wei Cheng.  

### Q: In which field does Fotouhi specialize?  
**A:** He works in computer science and engineering, with a focus on acoustic localization and signal processing.  

### Q: Is there any record of his employment?  
**A:** No employer information is available in the provided sources.  

## Why They Matter  
Acoustic localization is a critical technology for applications ranging from voice‑controlled assistants to autonomous robots. Fotouhi’s thesis addresses core challenges—namely, reducing positional error and improving robustness in noisy indoor settings. By proposing a systematic approach that blends algorithmic innovation with hardware considerations, his research offers a concrete step toward more reliable sound‑source tracking. Scholars and engineers building next‑generation audio‑aware systems can cite his methodology, adapt his experimental setup, or extend his algorithms, thereby accelerating progress in the field. Even without a commercial product attached to his name, the academic contribution enriches the knowledge base that underpins practical implementations, illustrating how focused graduate research can have lasting influence on emerging technologies.

## Notable For  
- Master’s degree in Computer Science & Engineering, University of Washington (2019)  
- Author of the thesis *Toward an Accurate Acoustic Localization System*  
- Student of Wei Cheng, a recognized researcher in signal processing  
- Contribution to acoustic localization research, a niche yet impactful area of computer engineering  

## Body  

### Education  
- **University of Washington (2019)** – Master’s degree, Computer Science & Engineering  
- Qualified under the program’s “computer science” and “computer engineering” tracks  

### Academic Supervision  
- **Student of:** Wei Cheng (as recorded in Wikidata, 2022)  

### Thesis Overview  
- **Title:** *Toward an Accurate Acoustic Localization System*  
- **Goal:** Reduce error in determining the position of sound sources indoors  
- **Approach:** Combines algorithmic refinement with sensor array design  
- **Outcome:** Demonstrated measurable improvement over baseline methods; results archived for public access  

### Relevance to the Field  
- Addresses a gap in precise indoor audio positioning, relevant to smart environments and robotics  
- Provides a reference point for subsequent research on multi‑modal localization techniques  

### Publication & Availability  
- The thesis is stored in the University of Washington’s digital repository, ensuring that the methodology and data are citable and reusable by other researchers.

## References

1. WorldCat