Srinidhi Venkatesh
Nanotechnologies for Brain-Inspired Computing
2024–2025
Electrical Engineering and Computer Science
- Biological and Medical Devices and Systems
Farnaz Niroui
Improving the speed and efficiency of modern day computing systems has been a goal of the technological world since the inception of computers. My project aims to reduce the bottleneck between memory and computing in traditional von Neumann computing architectures by directly embedding computing into the memristive behavior of nanoscale devices. Next steps in our project include in depth characterization and testing of the fabricated memristors through the use of various lab testing equipment to extract data about device behavior. Upon analyzing factors such as the frequency and bias windows under which these devices function optimally, the project will focus on bridging the gap between high-level electrical properties of these systems, and designing devices for specific applications.
I am researching as a part of SuperUROP because I am interested in researching the intersection of electrical properties of nanotechnologies with computing. I have previously worked on nanoscale device characterization and hope to learn more about how such devices can be understood and applied into usable circuitry and systems.