Ivan Sanchez Esqueda
,
Spring 2023
Priyanka Ravindran
Electrical engineering
Characterization of Emerging Devices that will Integrate Memristor and Transistor Functions for Brain-Inspired Computing
Characterizing the operation of semiconductor devices will help enhance performance toward neuromorphic computing hardware.
Program: FURI
Hailey Warner
Electrical engineering
Exploring the Physics of Resistive-Switching Behavior in Emerging Two-Dimensional Hexagonal Boron Nitride (2D h-BN) Memristors
Characterizing h-BN memristor devices will help reveal their prospects within neuromorphic (or "brain-inspired") computing.
Program: FURI
Fall 2022
Sritharini Radhakrishnan
Electrical engineering
Characterization of Synaptic Electronic Devices for Brain-Inspired Computing Systems
Testing the resistive-switching behavior in hexagonal boron nitride memristors for computing hardware applications will help improve brain-inspired computing.
Program: FURI
Spring 2022
Jaafar Al Shamari
Electrical engineering
Design of Mixed-Signal Circuit Board for RRAM (Resistive Random-Access Memory) Crossbar Testing
Exploring dot-product multiplication on memristor crossbar arrays can lead to faster, more efficient hardware implementation of machine learning.
Program: FURI
Sritharini Radhakrishnan
Electrical engineering
Characterization of Synaptic Electronic Devices for Brain-Inspired Computing Systems
Testing hexagonal-Boron Nitride memristors to understand their resistive-switching behavior and applications in brain-inspired computing systems.
Program: FURI