University of Massachusetts Amherst

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By exploiting a wealth of user-specific data to improve user experiences, the Internet of Things (IoT) will revolutionize people’s lives in the decades ahead through such phenomena as smart cities, connected vehicles, smart homes, and connected healthcare devices. However, as we’ve witnessed with recent much-publicized data hacks, the sharing of such info can compromise users’ privacy. Now Professor Hossein Pishro-Nik of our Electrical and Computer Engineering Department (ECE) is the principal investigator (PI) on a $1-million grant from the National Science Foundation (NSF) to study...

Professors Qiangfei Xia and J. Joshua Yang of our Electrical and Computer Engineering (ECE) Department led a team of scientists who have developed a groundbreaking new type of hardware security device enabled by memristors, or resistive switching devices, as described in an article in the prestigious scientific journal Nature Communications. The title of the new article is “A Novel True Random Number Generator Based on a Stochastic Diffusive Memristor.” This work paves the way for memristors in...

The research of Zlatan Aksamija, an Assistant Professor of Electrical and Computer Engineering at UMass Amherst, and his grad student Adithya Kommini was highlighted in the September 19 “news” section of the Massachusetts Green High Performance Computing Center (MGHPCC) website. The two researchers use computers at the MGHPCC to carry out nanomolecular materials modeling experiments exploring the thermoelectric behavior of materials for use in energy applications. See entire article

As the MGHPCC article, written by...

AMHERST, Mass. – Researchers at the University of Massachusetts Amherst College of Engineering are developing a multi-purpose radar system that can detect very small drone aircraft and also serve as a severe weather warning system for airports and urban settings. The system is designed to scan the airspace closest to the ground where drones and severe weather are not currently visible to existing weather radar and aircraft surveillance systems. The project is funded with an 18-month, $200,000 grant from the National Science Foundation.

Michael Zink, associate professor of...

Professor Qiangfei Xia of the Electrical and Computer Engineering (ECE) Department at the University of Massachusetts Amherst leads a multi-institutional group of researchers who have invented a new kind of memristor entirely based on silicon materials, which could act as a promising building block for the next generation of memory and neuromorphic computing systems. “The current work opens up opportunities for low-cost mass production of 3D memristor arrays on large silicon and flexible substrates without increasing circuit complexity,” as the research team summarizes its research....

Professors J. Joshua Yang and Qiangfei Xia of the Electrical and Computer Engineering (ECE) Department at the University of Massachusetts Amherst are leading an international team of researchers who are publishing an article in Nature Materials entitled “Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing.” Nature Materials is a premier Nature Publishing Group journal with an impact factor as high as 38.89.

Yang describes the research in the article as part of “our collaborative work on a new type of memristive device that can...

The hits just keep coming for CASA. The Engineering Center for “Collaborative Adaptive Sensing of the Atmosphere,” a radar network designed to generate geographically specific, real-time information on severe weather storms, recently inspired a very informative feature article in an unlikely place: on the Dell website.

As the Dell article explained, “Over the past three years, a coalition of public and private institutions [has] come together in...

Mario Parente, an expert in the analysis of hyperspectral images and a professor in the Electrical and Computer Engineering Department, plays a critical role in a new $1.2-million National Science Foundation grant to apply recent advances in biologically inspired deep learning methods to analyze large amounts of scientific data from Mars. Parente’s research on hyperspectral camera images is being applied to direct the analysis of data gathered by a NASA orbiter, which is currently examining the chemical composition of rocks and dust on Mars.

Unlike traditional cameras, a...

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