Sherry Heshmat Hareth is a Doctor in Engineer in the Electronics and Communication Engineering Department at the Arab Academy for Science, Technology & Maritime Transport (AASTMT), Sheraton Cairo branch. Her work lies at the intersection of artificial intelligence and hardware system design, with a focus on FPGA-based acceleration of deep learning models under strict power and memory constraints. Her primary research interests include convolutional neural networks (CNNs), embedded AI systems, and hardware–software co-design. She is currently engaged in the implementation and optimization of deep learning architectures such as AlexNet and Tiny-YOLO-v2 on FPGA platforms, with particular emphasis on memory hierarchy design, bandwidth optimization, and efficient resource utilization. Sherry’s work aims to bridge the gap between computationally intensive AI algorithms and real-time embedded deployment, enabling scalable and energy-efficient intelligent systems. Alongside her research, she has experience teaching programming and electronics courses and developing interactive educational materials for engineering students. Her broader interests include applied artificial intelligence, robotics education, and the development of STEM learning environments, reflecting a strong commitment to both research innovation and academic excellence.