# Frank E. Curtis

> Ph.D. Northwestern University 2007

**Wikidata**: [Q102345383](https://www.wikidata.org/wiki/Q102345383)  
**Source**: https://4ort.xyz/entity/frank-e-curtis

## Summary
Frank E. Curtis is an American computer scientist and professor at Lehigh University. He earned his Ph.D. from Northwestern University in 2007 and specializes in computational optimization and numerical algorithms.

## Biography
- Born: Not specified
- Nationality: American
- Education: Ph.D. in Computer Science, Northwestern University, 2007
- Known for: Research in optimization algorithms and computational methods
- Employer(s): Lehigh University (current)
- Field(s): Computer Science, Optimization, Numerical Algorithms

## Contributions
Frank E. Curtis has made significant contributions to the field of computational optimization through his research on numerical algorithms and their applications. His work focuses on developing efficient methods for solving large-scale optimization problems that arise in engineering, science, and data analysis. Curtis has published numerous papers on topics including nonlinear optimization, machine learning algorithms, and numerical methods for scientific computing. His research has been cited extensively in academic literature and has influenced both theoretical developments and practical implementations of optimization techniques. At Lehigh University, he has mentored graduate students and contributed to advancing the understanding of computational methods in engineering and applied mathematics.

## FAQs
### Q: What is Frank E. Curtis's area of expertise?
A: Frank E. Curtis specializes in computational optimization, numerical algorithms, and their applications in engineering and data science.

### Q: Where did Frank E. Curtis complete his doctoral studies?
A: He earned his Ph.D. in Computer Science from Northwestern University in 2007.

### Q: What is Frank E. Curtis's current academic position?
A: He is a professor at Lehigh University, where he conducts research and teaches in the field of computer science.

## Why They Matter
Frank E. Curtis matters because his research on optimization algorithms has advanced the field of computational mathematics and enabled more efficient solutions to complex engineering and data science problems. His work bridges theoretical computer science with practical applications, making sophisticated optimization techniques accessible to engineers and scientists. By developing new numerical methods and improving existing ones, Curtis has contributed to faster, more reliable computational tools that impact industries ranging from manufacturing to machine learning. His academic mentorship has also helped train the next generation of researchers in computational optimization.

## Notable For
- Ph.D. graduate of Northwestern University (2007)
- Professor at Lehigh University in computer science
- Research contributions to computational optimization algorithms
- Publications in numerical methods and nonlinear optimization
- Academic genealogy connected to Jorge Nocedal

## Body
### Academic Background
Frank E. Curtis completed his doctoral studies at Northwestern University in 2007, working under the supervision of Jorge Nocedal, a prominent figure in optimization research. His doctoral work established the foundation for his subsequent research career in computational methods.

### Research Focus
Curtis's research centers on developing and analyzing algorithms for nonlinear optimization problems. His work addresses both theoretical aspects of algorithm design and practical implementation challenges. He has contributed to the development of methods that can efficiently solve large-scale optimization problems that arise in various scientific and engineering applications.

### Academic Career
After completing his Ph.D., Curtis joined the faculty at Lehigh University, where he has built a research program focused on computational optimization. His work at Lehigh has included both fundamental research and applications-oriented projects that connect optimization theory with real-world problem-solving.

### Publications and Impact
Curtis has published extensively in peer-reviewed journals and conference proceedings in the fields of optimization and numerical analysis. His publications have been cited by other researchers, indicating the influence of his work on the broader scientific community. The specific citation metrics and publication counts are not provided in the source material, but his academic genealogy and institutional affiliations suggest a productive research career.

## References

1. Mathematics Genealogy Project
2. [Source](https://coral.ise.lehigh.edu/frankecurtis/)