# Abdullah Islam

> master of Computer Science & Engineering, University of Washington, 2020

**Wikidata**: [Q113667865](https://www.wikidata.org/wiki/Q113667865)  
**Source**: https://4ort.xyz/entity/abdullah-islam

## Summary
Abdullah Islam is a computer scientist and academic known for his research in managing and predicting moving objects under location uncertainty. He holds a master's degree in Computer Science & Engineering from the University of Washington, which he received in 2020. His work focuses on the theoretical foundations of computer science, specifically within the industrial and service sectors.

## Biography
*   **Education**: Master of Computer Science & Engineering, University of Washington (2020).
*   **Field(s)**: Computer Science.
*   **Occupation**: Computer Scientist.
*   **Academic Advisors**: Mohamed H. Ali and Abdeltawab Hendawi.

## Contributions
Abdullah Islam's primary academic contribution is his master's thesis, **"Management and Prediction of Moving Objects Under Location Uncertainty."** This work addresses complex problems related to tracking and forecasting the movement of objects when their precise location data is uncertain or variable. By developing methods to handle this uncertainty, his research contributes to the broader field of data management and predictive modeling within computer science.

## FAQs
**What is Abdullah Islam known for?**
Abdullah Islam is known for his academic work as a computer scientist, particularly his 2020 master's thesis at the University of Washington which focused on the management and prediction of moving objects under conditions of location uncertainty.

**Where did Abdullah Islam receive his education?**
He received his master's degree in Computer Science & Engineering from the University of Washington in 2020.

**Who were Abdullah Islam's academic advisors?**
His academic advisors during his studies were Mohamed H. Ali and Abdeltawab Hendawi.

## Why They Matter
Abdullah Islam's work represents a specific, technical contribution to the field of computer science, addressing the significant challenge of location uncertainty in data. While location-based services are now ubiquitous, their reliability often hinges on the ability to manage and predict movement accurately, even with imperfect data. His thesis contributes to the foundational knowledge required to build more robust systems for navigation, logistics, and tracking, showcasing the practical application of theoretical computer science to solve real-world data problems.

## Notable For
*   **Academic Research**: Authoring the thesis "Management and Prediction of Moving Objects Under Location Uncertainty."
*   **Advanced Degree**: Earning a master's degree in Computer Science & Engineering from the University of Washington.
*   **Collaboration**: Working under the guidance of notable academics Mohamed H. Ali and Abdeltawab Hendawi.
*   **Specialization**: Focusing on the intersection of computer science, data prediction, and location uncertainty.

## Body
### Academic Background
Abdullah Islam completed his higher education at the University of Washington, where he was awarded a master's degree in Computer Science & Engineering in 2020. During this period, he was listed on the focus list of the WikiProject PCC Wikidata Pilot/University of Washington, indicating his inclusion in a specific project related to the university's academic data.

### Research and Thesis
His primary academic output is his master's thesis, titled **"Management and Prediction of Moving Objects Under Location Uncertainty."** This research positions him within the broader profession of computer scientists—experts who study the theoretical foundations of information and computation. His work delves into a specialized area of computer science, addressing how to handle and predict the trajectories of moving objects when data is not perfectly precise, a common issue in real-world applications.

### Professional Context
As a computer scientist, Abdullah Islam is part of a profession classified under international standards (ISCO-08 code 2511). This field typically bridges the industrial and service sectors, applying theoretical knowledge to practical system design and analysis. His thesis work demonstrates the application of these theoretical foundations to specific computational challenges.

## References

1. WorldCat