# Brandon Lucia

> Ph.D. University of Washington 2013

**Wikidata**: [Q102603378](https://www.wikidata.org/wiki/Q102603378)  
**Source**: https://4ort.xyz/entity/brandon-lucia

## Summary
Brandon Lucia is an American computer scientist and researcher who currently serves as a faculty member at Carnegie Mellon University. He is primarily recognized for his academic contributions to computer engineering and software reliability, specifically regarding the development of system support for concurrent software.

## Biography
- **Nationality:** United States
- **Education:** Ph.D. in Computer Science and Computer Engineering, University of Washington (2013)
- **Known for:** Research in concurrent software reliability and computer systems architecture
- **Employer(s):** Carnegie Mellon University
- **Field(s):** Computer science, computer engineering

## Contributions
Brandon Lucia has made significant contributions to the field of computer science through his research on system reliability and concurrent programming. His most prominent work is his 2013 doctoral thesis, "System Support for Concurrent Software Reliability," completed at the University of Washington under the supervision of Luis Ceze. This research addresses the fundamental challenges of concurrency, where multiple computations are executed during overlapping time periods. Lucia’s work focuses on creating robust system-level support to prevent errors and improve the dependability of such software in complex computing environments.

As a researcher at Carnegie Mellon University, Lucia has continued to influence the field through academic publishing and mentorship. His work is extensively documented in the DBLP computer science bibliography and Google Scholar, reflecting a consistent output of scholarly research. Beyond his individual publications, Lucia has contributed to the academic community by advising doctoral students, such as Kiwan Maeng. His research activities are integrated into the broader computer engineering landscape, focusing on how hardware and software systems can better manage the complexities of modern parallel computing. His inclusion in the Mathematics Genealogy Project highlights his role in the ongoing transmission of specialized knowledge within the computer science discipline.

## FAQs
### Q: Where did Brandon Lucia receive his doctorate?
A: Brandon Lucia earned his Ph.D. from the University of Washington in 2013. His studies focused on the dual fields of computer science and computer engineering.

### Q: What is Brandon Lucia's primary area of research?
A: His research primarily focuses on computer science and engineering, with a specific emphasis on providing system support for concurrent software reliability.

### Q: Who was Brandon Lucia's doctoral advisor?
A: Brandon Lucia's doctoral advisor was Luis Ceze, a researcher and computer scientist at the University of Washington.

### Q: Which institution currently employs Brandon Lucia?
A: Brandon Lucia is currently employed as a researcher and faculty member at Carnegie Mellon University.

## Why They Matter
Brandon Lucia is a significant figure in computer science because his research targets one of the most persistent challenges in modern computing: software concurrency. As processors have shifted toward multi-core architectures, the ability to write reliable concurrent software has become essential. Lucia’s work on "System Support for Concurrent Software Reliability" provides a framework for understanding and mitigating the risks associated with parallel execution, such as race conditions and deadlocks. Without advancements in this area, the performance gains of modern hardware would be undermined by software instability.

His impact is also felt through his institutional affiliation with Carnegie Mellon University, a leading center for computer science research. By training the next generation of engineers and researchers, including students like Kiwan Maeng, Lucia ensures the continued evolution of reliable system design. His academic lineage, connecting him to advisor Luis Ceze, demonstrates his position within a high-impact research network. Lucia’s work serves as a bridge between theoretical computer science and practical system engineering, ensuring that as computing systems become more complex, they also remain resilient and efficient.

## Notable For
*   **Landmark Thesis:** Author of "System Support for Concurrent Software Reliability" (2013), which explored systemic solutions for parallel computing errors.
*   **Academic Leadership:** Faculty member and researcher at Carnegie Mellon University, a top-tier institution for computer science.
*   **Research Mentorship:** Served as the doctoral advisor for South Korean computer scientist Kiwan Maeng.
*   **Scholarly Record:** Maintained a significant presence in major academic databases including DBLP, Google Scholar, and the Mathematics Genealogy Project.

## Body
### Academic Background and Education
Brandon Lucia pursued his higher education at the University of Washington. In 2013, he attained his doctorate, specializing in computer science and computer engineering. His academic journey was shaped by his collaboration with his doctoral advisor, Luis Ceze.

### Research Focus: Concurrent Systems
Lucia's primary research contribution lies in the field of concurrent software. His doctoral thesis, "System Support for Concurrent Software Reliability," established a foundation for his subsequent work. This research focuses on the intersection of hardware and software, seeking ways to make parallel processing more reliable and less prone to the bugs typically associated with multi-threaded applications.

### Professional Affiliations and Mentorship
Since completing his Ph.D., Lucia has been an employer at Carnegie Mellon University. In this role, he functions as both a researcher and an educator. He has been instrumental in guiding the research of doctoral students, most notably Kiwan Maeng, who has gone on to become a computer scientist and manhwaga.

### Digital and Academic Identifiers
Lucia's work is recognized and indexed across several global academic platforms:
*   **Mathematics Genealogy Project:** ID 213277
*   **DBLP Author ID:** 18/6801
*   **Google Scholar ID:** a9T7i5QAAAAJ
*   **MR Author ID:** 1227221

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## References

1. Mathematics Genealogy Project
2. WorldCat
3. [Source](https://kiwanmaeng.com/)