Evdokia Nikolova Receives NSF Grant to Improve Power Grid Efficiency

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.”

New Mechanical Metamaterials Can Block Symmetry of Motion, Findings Suggest

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.

Orshansky and Vishwanath Receive STARSS Grant for Work on System Security

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).

Prof. Andrea Alù Awarded $359K NSF Grant

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.

Prof. Joydeep Ghosh Receives $660K from NSF

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.

Subscribe to RSS - NSF