# Alexander G. Parlos

> researcher and professor in mechanical engineering (retired)

**Wikidata**: [Q106706103](https://www.wikidata.org/wiki/Q106706103)  
**Source**: https://4ort.xyz/entity/alexander-g-parlos

## Summary
Alexander G. Parlos is a retired researcher and professor in mechanical engineering who made significant contributions to multiple engineering disciplines including systems engineering, nuclear engineering, control engineering, and machine learning. Throughout his career, he primarily worked at Texas A&M University while also serving as Chief Technology Officer at Veros Systems, applying advanced computational methods to engineering challenges.

## Biography
- Born: Istanbul
- Nationality: United States
- Education: 
  - Bachelor of Science in Nuclear Engineering, Texas A&M University (1983)
  - Master of Science in Mechanical Engineering, Massachusetts Institute of Technology (1985)
  - Doctor of Science in Systems Engineering and Automation Technology, Massachusetts Institute of Technology (1986)
- Known for: Applying machine learning and computational methods to engineering problems across multiple disciplines
- Employer(s): Texas A&M University (1987-present, retired), Veros Systems (2007, Chief Technology Officer)
- Field(s): mechanical engineering, systems engineering, nuclear engineering, control engineering, machine learning

## Contributions
Alexander G. Parlos developed pioneering work in applying machine learning and artificial neural networks to engineering systems, particularly in the areas of condition monitoring and sensor grid technologies. His research contributed to energy efficiency improvements in complex engineering systems while establishing methodologies for integrating computational intelligence with traditional engineering approaches. During his tenure at Texas A&M University, he supervised doctoral research in advanced engineering systems and published numerous papers connecting computer science principles with mechanical engineering applications. As Chief Technology Officer at Veros Systems, he led technological innovation in the energy sector, developing computational solutions for energy exploration and production optimization.

## FAQs
### Q: What degrees does Alexander G. Parlos hold?
A: Alexander G. Parlos holds a Bachelor of Science in Nuclear Engineering from Texas A&M University (1983), a Master of Science in Mechanical Engineering from MIT (1985), and a Doctor of Science in Systems Engineering and Automation Technology from MIT (1986).

### Q: What companies or institutions has Alexander G. Parlos worked for?
A: Parlos primarily worked at Texas A&M University starting in 1987 where he served as a professor in the Department of Mechanical Engineering. He also worked at Veros Systems as Chief Technology Officer beginning in 2007.

### Q: What are Alexander G. Parlos' primary research interests?
A: His research interests include artificial neural networks, computer networks, condition monitoring, energy efficiency, and sensor grid technologies, focusing on the application of machine learning to engineering problems.

### Q: Did Alexander G. Parlos supervise any doctoral students?
A: Yes, he supervised several doctoral students including Jianxi Fu, Tengxi Wang, and Gang Li at Texas A&M University.

## Why They Matter
Alexander G. Parlos made significant contributions to the field of engineering by bridging traditional engineering disciplines with emerging computational technologies. His work in applying machine learning to mechanical and systems engineering problems helped advance the field of intelligent engineering systems. As an educator at Texas A&M University for several decades, he influenced countless engineers who now work in industry and academia. His research in condition monitoring and sensor grids contributed to improved safety and efficiency in critical engineering systems, while his leadership at Veros Systems demonstrated the practical application of academic research in industry. Without his interdisciplinary approach, the integration of machine learning into engineering practices might have progressed more slowly.

## Notable For
- Served as Chief Technology Officer at Veros Systems, leading technological innovation in the energy sector
- Maintained a long-term academic career at Texas A&M University across multiple engineering departments (Mechanical, Nuclear, and Electrical and Computing Engineering)
- Developed research methodologies connecting machine learning with traditional engineering disciplines
- Supervised doctoral research that advanced the field of intelligent engineering systems
- Contributed to energy efficiency improvements through sensor grid and condition monitoring technologies

## Body

### Early Life and Education
Alexander G. Parlos was born in Istanbul and pursued his higher education in the United States. He completed his Bachelor of Science in Nuclear Engineering at Texas A&M University from 1980 to 1983. He then moved to the Massachusetts Institute of Technology, earning both his Master of Science (1985) and Doctor of Science (1986) in mechanical engineering, with a focus on systems engineering and automation technology.

### Academic Career
Parlos began his academic career at Texas A&M University in 1987, where he eventually became a professor in the Department of Mechanical Engineering. Throughout his career, he also held appointments in the Department of Nuclear Engineering and the Department of Electrical and Computing Engineering at the same institution. His research spanned multiple disciplines, including mechanical engineering, systems engineering, nuclear engineering, control engineering, and machine learning. He retired from academic work but maintained connections with engineering research communities.

### Industry Contributions
In addition to his academic work, Parlos served as Chief Technology Officer at Veros Systems starting in 2007. In this role, he applied his expertise in computational methods and machine learning to develop solutions for the energy sector. His work focused on energy exploration and production optimization, demonstrating the practical applications of advanced computational techniques in industry.

### Research Focus
Parlos' research interests included artificial neural networks, computer networks, condition monitoring, energy efficiency, and sensor grid technologies. He worked at the intersection of computer science and engineering, developing methodologies for applying machine learning to engineering problems. His research contributed to improved safety and efficiency in complex engineering systems through innovative monitoring and optimization approaches.

### Teaching and Mentorship
Throughout his career, Parlos was dedicated to educating the next generation of engineers. He supervised several doctoral students at Texas A&M University, including Jianxi Fu, Tengxi Wang, and Gang Li, whose research contributed to advances in engineering systems. His interdisciplinary approach prepared students to work across traditional engineering boundaries and incorporate computational methods into their work.

## References

1. [Source](https://prabook.com/web/alexander_george.parlos/3648538)
2. [Source](https://ieeexplore.ieee.org/author/37270300400)
3. [Source](https://www.linkedin.com/in/alexander-parlos-a788849/)
4. [Source](https://www.tamu.edu)
5. [Source](https://verossystems.com/about-us/#section-1)
6. [Source](https://www.linkedin.com/company/veros-systems-inc-/)
7. [Source](https://smartgridcenter.tamu.edu/index.php/other-engineering-departments/5/)
8. [Source](https://www.zoominfo.com/p/Alexander-Parlos/11432605)
9. [Source](https://oaktrust.library.tamu.edu/handle/1969.1/2)
10. Virtual International Authority File
11. [Source](https://id.loc.gov/authorities/n%20%2086040505)
12. [Source](http://olacinc.org/drupal/capc_files/DVD_RDA_Guide.pdf)
13. [Source](https://opencorporates.com/companies/us_tx/0013675106)