Advances in machine learning are announced every day, but efforts to fundamentally rethink the core algorithms of AI are rare.
Embedded systems often operate on sensitive data in safety-critical environments, including transportation, health care, and industrial control. Embedded software can leak information about the activity and data via physical side-channels, such as electromagnetic (EM) fields, which can be measured with ease by an adversary using modest equipment. Such measurements can be used to profile programs, find anomalies in the software, identify sensitive information, and most fundamentally, reveal what instructions are being executed on the system.
WNCG alumnus Prof. Siddhartha Banerjee has been named a recipient of the National Science Foundation Early Career Development Program (CAREER) Award.
Banerjee received his doctorate from Texas ECE in 2013. As a member of WNCG, he was advised by Profs. Sanjay Shakkottai and Sujay Sanghavi. He is currently an Assistant Professor of operations research and information engineering at Cornell University, and he also serves as a technical consultant for popular rideshare service Lyft.
Evdokia Nikolova, Assistant Professor in Texas ECE, has received a National Science Foundation (NSF) grant for her work on "AitF: Collaborative Research: Algorithms and Mechanisms for the Distribution Grid.” The goal of this project is to “help the distribution grid and its participants transition from its current functionality of serving mostly traditional consumers, to the future grid that needs to sustainably integrate prosumers, renewables and distributed energy resources.”
Engineers and scientists at The University of Texas at Austin and the AMOLF institute in the Netherlands have invented the first mechanical metamaterials that easily transfer motion effortlessly in one direction while blocking it in the other, as described in a paper published on Feb. 13 in Nature. The material can be thought of as a mechanical one-way shield that blocks energy from coming in but easily transmits it going out the other side.
The National Science Foundation (NSF) has awarded a four-year, $2 million grant to Andrea Alù of the Cockrell School of Engineering at The University of Texas at Austin to break the conventional ways in which light and acoustic waves propagate.
As communication systems embrace ever wider bandwidths and the FCC seeks to codify next-generation standards, Analog-to-Digital-Converters (ADCs) struggle to meet rate, resolution and power requirements for these systems. The massive antenna arrays under consideration for next-generation wireless, which include tens or even hundreds of receiver channels, only exacerbate the problem.
Prof. Michael Orshansky and Prof. Sriram Vishwanath of the Department of Electrical and Computer Engineering in The University of Texas at Austin's Cockrell School of Engineering have received a research grant as part of the Secure, Trustworthy, Assured and Resilient Semiconductors and Systems (STARSS) program. STARSS is a joint program created by the National Science Foundation (NSF) and Semiconductor Research Coporation (SRC).
Reciprocity is a general symmetry property that applies to the vast majority of materials. If an antenna transmits towards a specific direction, it must also receive signals from that same direction. To protect sources and improve communication systems, it is desirable to build components not bound by reciprocity requirements that can transmit and receive signals in the same channel without interference.
As the adoption of Electronic Health Records (EHRs) increases in the USA, the complexity of EHR data is growing dramatically. EHR data now covers diverse information about patients, including diagnosis, medication, lab results, genomic information and clinical notes. However, such large volumes of information do not readily provide accurate and succinct patient representations for effective and customized healthcare.