As a graduate student specializing in Computer Systems Architecture, my research focuses on the development and optimization of emerging memory technologies within Internet of Things (IoT) nodes. My work involves exploring innovative memory architectures that enhance data storage efficiency and energy consumption in resource-constrained environments.

Through my research, I aim to address the challenges of integrating advanced memory solutions in IoT devices, ensuring scalability and reliability. This includes investigating non-volatile memory options, such as Spin-Transfer Torque Magnetic RAM (STT-MRAM), which promise significant improvements in speed and endurance over traditional flash memory.

I am eager to collaborate with research teams to design experimental frameworks and conduct empirical studies on memory performance and energy efficiency. My ongoing goal is to contribute to the advancement of IoT technology by enabling smarter and more efficient devices that can better meet the demands of modern applications.

Overall, my work not only emphasizes theoretical foundations but also practical implementations, bridging the gap between research and real-world applications in the rapidly evolving field of IoT.