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Academic References · Prince Sultan University

Recommendation Letters

Faculty recommendations documenting my academic work in software engineering and computer science, including research potential, creativity, curiosity, project performance, and commitment to learning.

2 Faculty Letters Original PDFs Available
Academic References

Faculty perspectives on my work.

These recommendations were written by faculty members at Prince Sultan University's College of Computer and Information Sciences. Each summary provides the academic context and key points for quick review.

Original documents included. Each recommendation card links directly to the complete faculty letter in PDF format.
Reference 01 · Software Engineering

Ms. Ishrat Khan

Computer Science Faculty · College of Computer and Information Sciences · Prince Sultan University

Ms. Ishrat Khan taught me Introduction to Software Engineering at Prince Sultan University. Her recommendation highlights my desire to learn, potential for research and creativity, and ability to develop plans and implement them successfully.

“She has consistently shown a strong desire to learn my subject with excellent potential of research and creativity.”

The letter expresses confidence in my continued success in future studies and recommends me as a strong addition to a higher-education environment.

Software Engineering Research Potential Creativity Planning & Implementation
View Original Letter (PDF)
Reference 02 · Computer Science

Dr. Najla Althuniyan

Assistant Professor · Prince Sultan University

Dr. Najla Althuniyan taught me Data Structures and Algorithms, a rigorous sophomore-level computer science course. Her recommendation emphasizes my ambition, curiosity, willingness to extend my knowledge beyond course requirements, and drive to maximize learning opportunities.

“Her developed project was exceptional and ranked above expectations among the 70 students I instructed that semester.”

The recommendation notes that I distinguished myself through my academic effort and project work, including performance beyond the standard course expectations.

Computer Science Academic Excellence Project Performance Curiosity
View Original Letter (PDF)

Original documents: The buttons above open the original recommendation letters as PDF files. The HTML summaries remain on this page for accessibility, quick review, and search visibility.