Qusai Gazawy

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

Southern Arkansas University

Also affiliated: Recep Tayyip Erdoğan University (2023); Çankırı Karatekin University (2023–2024)

Unknown Researcher

2 h-index 5 pubs 10 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Qusai Gazawy's research focuses on the application of machine learning and artificial intelligence in diverse fields. His recent work includes the development of deep learning models for enhancing educational quality by assessing student engagement and emotional states, as well as utilizing convolutional neural networks for pothole detection under various road and weather conditions. Gazawy has also investigated advanced segmentation models, such as YOLO-guided Segment Anything Model (YO-SAM) and Persistent Homology-Guided Prompting of SAM2 (PH-SAM2) for zero-shot medical image segmentation.

In the realm of education technology, Gazawy has studied the development of next-generation educational mobile games, specifically analyzing the "Obstacle Run" game in the context of current technological trends. His scholarship metrics include an h-index of 2, with 5 total publications and 10 citations. He has collaborated with Malak Bachri from Southern Arkansas University on two shared publications.

Metrics

h-index: 2
Publications: 5
Citations: 10

Selected Publications

YO-SAM: YOLO-Guided Segment Anything Model (2026)

Lecture notes in networks and systems DOI OpenAlex
PH-SAM2: Persistent Homology-Guided Prompting of SAM2 for Zero-Shot Medical Image Segmentation (2026)

Lecture notes in networks and systems DOI OpenAlex