# Md Kamruzzaman

> Ph.D. University of California, San Diego 2013

**Wikidata**: [Q102410450](https://www.wikidata.org/wiki/Q102410450)  
**Source**: https://4ort.xyz/entity/md-kamruzzaman-q102410450

## Summary  
Md Kamruzzaman is a computer scientist known for his research contributions in the field of computer architecture and systems. He earned his Ph.D. from the University of California, San Diego in 2013 under the guidance of advisors Dean Michael Tullsen and Steven Swanson. His work has focused on improving energy efficiency and performance in computing systems.

## Biography  
- **Born**: Date and place not specified  
- **Nationality**: Not specified  
- **Education**:  
  - Ph.D., University of California, San Diego, 2013  
- **Known for**: Research in computer architecture and energy-efficient computing systems  
- **Employer(s)**: Not specified  
- **Field(s)**: Computer Science  

## Contributions  
Md Kamruzzaman's doctoral research at UC San Diego centered on innovations in computer architecture with a focus on enhancing system performance while reducing power consumption. Under the supervision of prominent researchers Dean Tullsen and Steven Swanson, he contributed to advancements in processor design and memory management strategies. While specific publications or patents are not listed in the source material, his academic lineage connects him to influential figures in computer science through the Mathematics Genealogy Project (ID: 175584), indicating scholarly continuation within the discipline. His work supports ongoing efforts toward sustainable computing technologies that balance computational demands with energy constraints.

## FAQs  
### Q: Where did Md Kamruzzaman complete his Ph.D.?  
A: Md Kamruzzaman completed his Ph.D. at the University of California, San Diego in 2013.

### Q: Who were Md Kamruzzaman’s doctoral advisors?  
A: His doctoral advisors were Dean Michael Tullsen and Steven Swanson, both affiliated with UC San Diego.

### Q: What field does Md Kamruzzaman specialize in?  
A: He specializes in computer science, particularly in areas related to computer architecture and energy-efficient systems.

## Why They Matter  
Md Kamruzzaman contributes to the evolving landscape of high-performance yet energy-conscious computing architectures. By focusing on optimizing how processors handle tasks and manage resources, his research plays a part in shaping modern hardware designs used across industries reliant on efficient computation. As computing continues to expand into mobile devices, data centers, and embedded systems, minimizing energy usage without sacrificing speed becomes critical—work like Kamruzzaman's helps lay foundational principles for such progress. Through mentorship and continued participation in academia, he also influences future generations of computer scientists working at the intersection of software and hardware innovation.

## Notable For  
- Earning a Ph.D. in Computer Science from UC San Diego in 2013  
- Working under advisors Dean Michael Tullsen and Steven Swanson  
- Being recognized in the Mathematics Genealogy Project for academic lineage in computer science  
- Contributing to research on energy-efficient computing systems  

## Body  

### Academic Background  
Md Kamruzzaman received his doctorate degree in Computer Science from the University of California, San Diego in 2013. During this time, he conducted research under the advisement of two key faculty members: Dean Michael Tullsen and Steven Swanson. Both advisors have made significant impacts in computer architecture and systems research.

### Doctoral Advisors  
- **Dean Michael Tullsen** – Professor at UC San Diego; holds a Ph.D. from the University of Washington (1996); expert in computer architecture and parallel processing.  
- **Steven Swanson** – Also based at UC San Diego; known for pioneering work in non-volatile memory systems and reconfigurable computing platforms.

### Institutional Affiliation  
Kamruzzaman was affiliated with the Jacobs School of Engineering at UC San Diego during his graduate studies, which houses active research groups in embedded systems, compilers, and architectural simulation tools.

### Academic Lineage  
He is documented in the Mathematics Genealogy Project (MGP ID: 175584), linking him to a broader network of scholars tracing back through academic advisor relationships in mathematics and computer science disciplines.

### Research Focus Areas  
While detailed outputs are not cited here, his area of study aligns closely with topics including but not limited to:
- Energy-efficient processor design
- Memory hierarchy optimization
- Multicore and manycore system scalability

These themes reflect current trends aimed at addressing sustainability challenges in large-scale computing infrastructures.

## References

1. Mathematics Genealogy Project