Abstract
This talk will explore how UAV docking stations can act as edge computing hubs to support real-time data processing for drone swarms. Leveraging Kubernetes (K3S) for lightweight orchestration, the system ensures resilient and scalable deployment of AI models for mission-critical operations. This approach integrates edge computing principles with HPC scalability for autonomous systems.
Short BioDr. Mohamed El-Hadedy is an Associate Professor in the Department of Electrical and Computer Engineering at Cal Poly Pomona (CPP) and the Reconfigurable Space Computing Laboratory (RSCL) director. With a career spanning innovative research in high-performance computing, cryptography, and autonomous systems, Dr. El-Hadedy has significantly contributed to advancing secure and resilient technologies for aerospace and IoT systems.
Multiple prestigious grants, including funding from the US Navy, the Department of Defense, and the Air Force Research Laboratory back Dr. El-Hadedy’s work. His research focuses on accelerating natural language processing (NLP) for UAV swarms, enhancing post-quantum cryptography (PQC) frameworks, and optimizing fully homomorphic encryption (FHE) through high-performance computing. He specializes in integrating cutting-edge technologies such as Kubernetes, FPGA-based accelerators, and edge computing to tackle real-world challenges in security and performance.
A passionate educator and mentor, Dr. El-Hadedy has guided his students to success in national competitions such as NASA MINDS, where his teams have been recognized for innovative projects like Tesla Coil Drones and Postquantum Crypto Security for Space Applications. His expertise in interdisciplinary research continues to bridge the gap between AI, cryptography, and hardware-software co-design, pushing the boundaries of autonomous and secure systems.