A wave of media coverage is only the latest accomplishment in an amazing two years of productivity for research collaborators Qiangfei Xia and Joshua Yang of the Electrical and Computer Engineering (ECE) Department. Media stories by Science & Technology Research News and other outlets topped off a 2018 campaign in which the two ECE professors published eight pioneering articles in major Nature research journals, following a...
Research Highlights
Yang (l) and Xia (r)
Yang and Xia
Qiangfei Xia and Joshua Yang of the Electrical and Computer Engineering (ECE) Department lead a 17-person research team that has published a paper titled "Long short-term memory networks in memristor crossbar arrays" in Nature Machine Intelligence, a new Nature research journal launching in January of 2019 and covering a wide range of topics in machine learning, robotics, and artificial intelligence. Some accepted papers are being posted online in early December. This Nature Machine...
The Scanning Electron Microscope (SEM) image of an ant, as demonstrated for a high-school outreach program, has inspired Assistant Professor Jun Yao of the Electrical and Computer Engineering Department at the University of Massachusetts Amherst to develop bioinspired, ultrasensitive pressure and strain sensors using microparticles resembling the bristles or tactile hairs ubiquitous in insects. “My hope was that the extremely enlarged image of an ant, perhaps a bit scary and monster-like, would excite the students’ interest in the ordinarily invisible nanoscale domain,” says Yao. Much...
Qiangfei Xia
A research team led by Qiangfei Xia of the Electrical and Computer Engineering Department at the University of Massachusetts Amherst has just published a paper in the prestigious journal Nature Nanotechnology about research into a promising building block for the next generation of nonvolatile random access memory and bio-inspired computing systems. The research team says that its working memristor crossbar arrays are “to the best of our knowledge, the first high-density electronic circuits with individually addressable components scaled down to two-nanometer dimension built...
Guangyu Xu
Guangyu Xu of the Electrical and Computer Engineering Department is part of a team of scientists based at UMass Amherst that has been awarded a four-year, $953,300 grant from the National Science Foundation (NSF) to develop miniature, implantable hardware, which can record complex brain activity in animals and analyze it in real time. See News Office release. The NSF funding is part of $16 million given to 18 cross-disciplinary projects around the country to conduct innovative...
A new paper by a research team led by Qiangfei Xia, Daniel Holcomb, and Joshua Yang of the Electrical and Computer Engineering Department at the University of Massachusetts Amherst describes a pioneering new technique to support the safe use of all-important “digital keys” in protecting hardware security systems and producing more secure, compact, and efficient memristive hardware. The paper, titled "A provable key destruction scheme based on memristive crossbar arrays," has just been published in the...
According to two independent websites, Executive Biz and UASWeekly, the Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) at UMass Amherst is part of a team including Bell Helicopter, Xwing, and Textron Systems that has just announced a cooperative agreement with NASA to help conduct an unmanned aircraft flight...
Guangyu Xu
The National Science Foundation (NSF) has awarded a four-year grant of $953,300 to a research team led by Professor Guangyu Xu of the Electrical and Computer Engineering Department at the University of Massachusetts Amherst to study the neural activity underlying complex animal behaviors. The research being funded by the NSF will allow scientists to find precise connections within and between different regions of the brain and trace the origin of animal behaviors down to cellular levels.
This award will contribute to NSF’s significant investments in the Brain Research through...