Dr. Jordan Kim

Real-time AI Infrastructure for Emergency Response Systems

Qadir, S., Johnson, M., & Williams, T. (2024). Journal of Artificial Intelligence Research, 72, 145-178.

This paper presents a novel architecture for AI-powered emergency response systems that can process and analyze data in real-time to improve decision-making during critical situations.

Optimizing Neural Networks for Edge Computing in IoT Devices

Qadir, S., & Rodriguez, A. (2023). IEEE Transactions on Mobile Computing, 22(5), 1892-1905.

We propose a new method for optimizing deep neural networks to run efficiently on resource-constrained IoT devices, enabling advanced AI capabilities at the edge.

Optimizing Neural Networks for Edge Computing in IoT Devices

Qadir, S., & Rodriguez, A. (2023). IEEE Transactions on Mobile Computing, 22(5), 1892-1905.

We propose a new method for optimizing deep neural networks to run efficiently on resource-constrained IoT devices, enabling advanced AI capabilities at the edge.

Secure Communication Protocols for Distributed AI Systems

Chen, L., & Qadir, S. (2023). Computers & Security, 124, 102987.

This work addresses security challenges in distributed AI systems by introducing a new framework for secure communication and data exchange between AI components.