# Seyed Sina Khankhajeh

> master of Computer Science & Engineering, University of Washington, 2016

**Wikidata**: [Q113667871](https://www.wikidata.org/wiki/Q113667871)  
**Source**: https://4ort.xyz/entity/seyed-sina-khankhajeh

## Summary
Seyed Sina Khankhajeh is a computer scientist specializing in computer science and engineering. He is best known for his academic research at the University of Washington, where he earned a master's degree in 2016 with a thesis focused on utilizing brain imaging data to classify child maltreatment.

## Biography
*   **Education:** Master of Science in Computer Science & Engineering, University of Washington (2016)
*   **Known for:** Research applying machine learning to neuroimaging for classifying child maltreatment
*   **Field(s):** Computer Science, Computer Engineering
*   **Academic Advisors:** Ka Yee Yeung, Katie A. McLaughlin

## Contributions
Seyed Sina Khankhajeh's primary documented contribution lies in his academic research within the field of computer engineering and neuroscience. His significant work is his master's thesis, titled "Classifying Child Maltreatment by Brain Imaging Data," completed in 2016.

This research was conducted at the University of Washington under the supervision of Ka Yee Yeung and Katie A. McLaughlin. The project represents an intersection of computer science and psychology, utilizing computational methods to analyze and categorize neuroimaging data. By applying algorithms to brain scans, the work aimed to identify physiological markers associated with different types of child maltreatment. This contributes to the broader field of computational neuroscience and the application of data science techniques to mental health diagnostics.

## FAQs

### Q: What degree did Seyed Sina Khankhajeh earn from the University of Washington?
A: He earned a Master’s degree in Computer Science & Engineering, which he completed in 2016.

### Q: What is the title of Seyed Sina Khankhajeh's academic thesis?
A: His master's thesis is titled "Classifying Child Maltreatment by Brain Imaging Data."

### Q: Who were the academic advisors for Seyed Sina Khankhajeh's research?
A: His research was supervised by Ka Yee Yeung and Katie A. McLaughlin.

## Why They Matter
Seyed Sina Khankhajeh matters in the context of interdisciplinary research that bridges advanced computational techniques with complex social and psychological issues. His work exemplifies how computer science can be applied beyond traditional industrial sectors to address critical human concerns, such as child welfare.

By focusing on "Classifying Child Maltreatment by Brain Imaging Data," Khankhajeh contributed to the exploration of objective biological markers for psychological trauma. This field of study is significant because it moves psychological diagnosis toward data-driven, quantitative methods. His collaboration with experts in both computer science (Ka Yee Yeung) and psychology (Katie A. McLaughlin) highlights the necessity of cross-disciplinary expertise in solving modern medical and social problems. His academic record serves as a specific example of how machine learning and engineering principles are being utilized to better understand the human brain and the impacts of adverse childhood experiences.

## Notable For
*   Authoring the thesis "Classifying Child Maltreatment by Brain Imaging Data."
*   Earning a Master’s degree in Computer Science & Engineering from the University of Washington.
*   Conducting research at the intersection of computational data analysis and clinical psychology.
*   Collaboration with notable researchers Ka Yee Yeung and Katie A. McLaughlin.

## Body

### Education and Academic Career
Seyed Sina Khankhajeh pursued higher education in the field of technology and engineering. In 2016, he successfully completed his Master of Science degree at the University of Washington. His specific field of study was Computer Science & Engineering.

During his time at the university, he was recognized as a computer scientist. His academic progression and thesis work were part of the curriculum associated with the University of Washington's Department of Computer Science & Engineering.

### Research and Thesis
Khankhajeh's academic output is defined by his master's thesis, **"Classifying Child Maltreatment by Brain Imaging Data."** This research investigated the potential of using brain imaging scans to classify or identify types of child maltreatment.

The project required the application of computer engineering principles to biological data. His work was guided by a dual mentorship:
*   **Ka Yee Yeung:** An expert often associated with computational biology and data science.
*   **Katie A. McLaughlin:** A researcher known for work in psychology and stress neurobiology.

This thesis position Khankhajeh as a contributor to the field of computational neuroscience, specifically in the sub-domain of utilizing machine learning to interpret neuroimaging data for psychological assessment.

## References

1. WorldCat