Rabab Abdelfattah

Dr. Rabab Abdelfattah is an Assistant Professor at the University of South Carolina-Columbia. She holds a PhD (2023), MS (2012), and BS (2004) from the University of South Carolina-Columbia and Fayoum University. Her research focuses on computer vision, deep learning, and image processing, with emphasis on generative models, multi-label classification, and aerial imagery analysis. She contributes to energy market forecasting, UAV-based detection, and cybersecurity for IoT systems. Affiliated with the Chain Technology Center (TEC), her work bridges theoretical advancements and real-world applications.

Education:

• PhD - University of South Carolina-Columbia (2023)
• MS - Fayoum University (2012)
• BS - Fayoum University (2004)

Research Interests:

Dr. Abdelfattah's work spans computer vision, deep learning, and machine learning. She develops generative adversarial networks (GANs) for power-line segmentation in aerial images and unsupervised learning frameworks like CDUL for multi-label classification. She also explores prompt engineering, Bayesian optimization for energy forecasting, and privacy-preserving authentication in IoT/drone systems. Her earlier contributions include power-gating techniques in CMOS circuits and network-on-chip (NoC) designs under process variation.

Publications Overview:

Her recent works (2020–2025) emphasize computer vision, energy systems, and cybersecurity. Key themes include GAN-based image segmentation, CLIP-driven learning, and UAV applications. Earlier research (2011–2015) focused on low-power NoC architectures and semiconductor circuit optimization.

Grants & Advising:

Details about grants and student advising are not explicitly listed in available texts.

Labs/Teams:

Affiliated with the Chain Technology Center (TEC), though specific lab/team details are not provided.