# Amrita Mazumdar

> PhD, University of Washington, Computer Science & Engineering, 2020

**Wikidata**: [Q113667810](https://www.wikidata.org/wiki/Q113667810)  
**Source**: https://4ort.xyz/entity/amrita-mazumdar

## Summary
Amrita Mazumdar is a computer scientist specializing in computer science and engineering. She is best known for her research at the University of Washington, where she developed perceptual optimizations for video capture, processing, and storage systems.

## Biography
- **Education**: PhD in Computer Science & Engineering, University of Washington (2020)
- **Known for**: Research in perceptual optimizations for video systems
- **Field(s)**: Computer Science, Computer Engineering

## Contributions
Amrita Mazumdar’s primary academic contribution is her research into the efficiency of video systems. In 2020, she completed her doctoral thesis at the University of Washington titled "Perceptual Optimizations for Video Capture, Processing, and Storage Systems." This work, conducted under the advisement of researchers Luis Ceze and Mark Henry Oskin, focuses on improving how video data is handled by computer systems. Her research addresses the technical challenges of capturing, processing, and storing video by applying perceptual optimizations—techniques that align system performance with human visual requirements or specific system constraints to improve overall efficiency.

## FAQs
### Q: What is Amrita Mazumdar's academic background?
A: Amrita Mazumdar earned her PhD in Computer Science & Engineering from the University of Washington in 2020. Her doctoral work was supervised by Luis Ceze and Mark Henry Oskin.

### Q: What was the focus of Amrita Mazumdar's doctoral thesis?
A: Her thesis, titled "Perceptual Optimizations for Video Capture, Processing, and Storage Systems," focuses on optimizing the lifecycle of video data within computer systems.

### Q: Who are Amrita Mazumdar's notable collaborators?
A: During her doctoral studies, she worked closely with computer scientists Luis Ceze and Mark Henry Oskin, who served as her doctoral advisors.

## Why They Matter
Amrita Mazumdar’s work is significant in the field of computer systems and architecture, particularly regarding the management of video data. As video content accounts for a massive portion of data processing and storage requirements globally, her research into "Perceptual Optimizations" provides a framework for making these systems more efficient. By aligning technical processing with perceptual needs, her work contributes to the development of more sustainable and high-performance video technologies. Her association with the University of Washington’s Computer Science & Engineering department places her research at the forefront of modern systems engineering.

## Notable For
*   **Doctoral Degree**: Awarded a PhD from the University of Washington in 2020 for Computer Science & Engineering.
*   **Specialized Research**: Authored the thesis "Perceptual Optimizations for Video Capture, Processing, and Storage Systems."
*   **Academic Lineage**: Student of prominent researchers Luis Ceze and Mark Henry Oskin.
*   **Project Recognition**: Featured in the WikiProject PCC Wikidata Pilot for the University of Washington.

## Body
### Academic Career
Amrita Mazumdar pursued her advanced education at the University of Washington. She specialized in Computer Science & Engineering, a field that bridges theoretical computer science and practical engineering applications. She successfully defended her doctorate in 2020.

### Research Focus
Mazumdar’s research is centered on the optimization of video systems. Her work specifically targets three critical stages of the video data lifecycle:
*   **Capture**: Improving the initial acquisition of video data.
*   **Processing**: Enhancing the computational methods used to manipulate or compress video.
*   **Storage**: Optimizing how video data is retained in memory systems.

### Mentorship and Collaboration
During her time at the University of Washington, Mazumdar was a student of Luis Ceze and Mark Henry Oskin. Both advisors are recognized figures in computer science, with Ceze known for his work in computer architecture and Oskin known for his background in academic research and computer science.

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## References

1. WorldCat