People

	Prof. Massood Tabib-Azar Principal Investigator Prof. Tabib-Azar is a USTAR Professor of Electrical and Computer Engineering at the University of Utah, with an adjunct appointment in Bioengineering. His research spans nanometrology, molecular electronics, solid-electrolyte devices, sensors and actuators, microfluidics, MEMS and NEMS, and quantum computing. View faculty profile
	Cubby Cubby earned a B.S. in Applied Mathematics from the University of Utah in 2021 and an M.S. in Electrical and Computer Engineering in 2026. He is pursuing a Ph.D. in embedded sensing systems and contributes to AMANDA Lab projects in sensor systems, micro heater arrays, Hall sensor arrays, and wearable biosensors.
	Ghaza Ghaza is a Ph.D. student in the Kahlert School of Computing at the University of Utah, where she has worked with Prof. Robert Ricci in the Flux Research Group since 2022. Her research focuses on cloud computing, serverless systems, and applying machine learning to networking and security challenges.
	Junaid Junaid Ahmed Qureshi earned degrees in electronics engineering, aviation and astronavigation science, and mechanical engineering before beginning his Ph.D. in Electrical and Computer Engineering at the University of Utah. His research includes ultrasensitive sensors for human applications and plasma-induced fluorescence spectroscopy for detecting volatile organic compounds in air.
	Maxwell Maxwell is developing a sensor array for measuring a user’s pressure distribution on soft surfaces. The resulting pressure map could support biomedical applications, including medical mattresses designed to help prevent pressure sores, as well as other devices where pressure sensing is important.
	Soren Soren is Professor Tabib-Azar’s intern for the High School Summer Research Internship. Through the AMANDA Lab, he is gaining research experience while contributing to projects connected to electronics, sensing systems, and laboratory experimentation.
	Don Don completed an M.Eng. degree in Electrical Engineering. He is working toward a focus in nanodevice physics and spintronics.