# Rohit Chaudhri

> Ph.D. University of Washington 2014

**Wikidata**: [Q102422669](https://www.wikidata.org/wiki/Q102422669)  
**Source**: https://4ort.xyz/entity/rohit-chaudhri

## Summary
Rohit Chaudhri is a computer scientist who earned his Ph.D. from the University of Washington in 2014. His doctoral work focused on extending sensing capabilities and modalities of mobile devices under the supervision of Gaetano Borriello. He is recognized for his contributions to mobile computing research.

## Biography
- Born: Not specified
- Nationality: Not specified
- Education: Ph.D. in Computer Science/Computer Engineering from University of Washington (2014)
- Known for: Research on mobile device sensing capabilities
- Employer(s): Not specified
- Field(s): Computer science, mobile computing

## Contributions
Rohit Chaudhri's primary contribution is his doctoral dissertation titled "Extending Sensing Capabilities and Modalities of Mobile Devices," completed in 2014 at the University of Washington. This work explored methods to enhance how mobile devices can sense and interact with their environment through expanded sensing modalities. His research was supervised by Gaetano Borriello, a prominent figure in ubiquitous computing. The dissertation represents a significant contribution to the field of mobile computing, addressing the fundamental challenge of expanding what mobile devices can perceive and measure beyond their standard capabilities.

## FAQs
### Q: Where did Rohit Chaudhri complete his Ph.D.?
A: Rohit Chaudhri completed his Ph.D. at the University of Washington in 2014.

### Q: What was the topic of Rohit Chaudhri's doctoral dissertation?
A: His dissertation was titled "Extending Sensing Capabilities and Modalities of Mobile Devices."

### Q: Who was Rohit Chaudhri's doctoral advisor?
A: Gaetano Borriello was Rohit Chaudhri's doctoral advisor at the University of Washington.

## Why They Matter
Rohit Chaudhri's work on extending mobile device sensing capabilities contributes to the ongoing evolution of mobile computing technology. By exploring new sensing modalities, his research helps expand the potential applications of mobile devices in areas such as health monitoring, environmental sensing, and context-aware computing. This work is particularly relevant as mobile devices become increasingly central to both personal and professional computing, with enhanced sensing capabilities enabling more sophisticated and useful applications across various domains.

## Notable For
- Completed Ph.D. in Computer Science/Computer Engineering from University of Washington in 2014
- Dissertation on extending sensing capabilities and modalities of mobile devices
- Student of Gaetano Borriello, a prominent computer scientist
- Mathematics Genealogy Project ID: 184330
- Research in mobile computing and sensing technologies

## Body
### Academic Background
Rohit Chaudhri earned his doctoral degree from the University of Washington in 2014, specializing in computer science with a focus on computer engineering. His academic work was conducted under the supervision of Gaetano Borriello, who earned his Ph.D. from the University of California, Berkeley in 1988.

### Research Focus
Chaudhri's dissertation research centered on expanding the sensing capabilities and modalities available to mobile devices. This work addresses a fundamental challenge in mobile computing: how to enable devices to perceive and interact with their environment in ways that go beyond standard sensors like cameras, microphones, and accelerometers.

### Academic Lineage
Through his doctoral advisor Gaetano Borriello, Chaudhri is connected to a distinguished academic lineage in computer science. Borriello's own academic background includes a Ph.D. from UC Berkeley, placing Chaudhri within a strong tradition of computer science research.

### Research Impact
While specific publications or products resulting from this work are not detailed in the source material, research on mobile sensing capabilities has broad implications for fields including health monitoring, environmental sensing, and context-aware computing applications.

## References

1. Mathematics Genealogy Project
2. WorldCat