Dr. Rabab Abdelfattah
Assistant Professor
Bio
Dr. Rabab Abdelfattah (Senior Member, IEEE) received her Ph.D. in Electrical Engineering, with a focus on advances in computer vision, from the University of South Carolina, SC, USA, in 2023. She is an Assistant Professor in the School of Computer Science and Engineering at the University of Southern Mississippi, MS, USA. Her work is published in some of the most prestigious journals and conferences in computer vision and IoT, including IEEE Transactions on Image Processing, IEEE Internet of Things Journal, and leading venues such as ICCV, ACCV and BMVC. She also serves as a reviewer for multiple high-impact journals and conferences and holds leadership roles within the IEEE WIE community. Her research centers on AI-enabled real-world applications and LLM-guided frameworks in image-based systems, complemented by her commitment to academic development through teaching and service.
- PHD - University of South Carolina-Columbia (2023)
- MS - Fayoum University (2012)
- BS - Fayoum University (2004)
CE 410: Internet of Things (IOT)
CE 230: Computer Systems
CE 210: Digital Logic
CE 492: Spec Topics In CE
COS 781: Topics In Comp Sci
CSC 695: Directed Study
CSC 697: Independent Study
CSC 699: Project
- BOL-LPP: A Bayesian-Optimized LSTM Model For Day-Ahead Load Price Forecasting in the ERCOT Market, IEEE open Journal of the computer science,
- CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification, In Proceedings of the International Conference on Computer Vision (ICCV), 2023
- G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification, In Proceedings of the British Machine Vision Conference (BMVC 2022), 2022
- Ttpla: An aerial-image dataset for detection and segmentation of transmission towers and power lines, Proceedings of the Asian Conference on Computer Vision (ACCV), 2020
- PLGAN: Generative adversarial networks for power-line segmentation in aerial images, IEEE Transactions on Image Processing, 2023, 10.1109/TIP.2023.3321465
- Evaluating Prompt Engineering for Generalized Power Line Segmentation,
- IEEE Senior Member