News

WNCG continues to grow; this spring, Assistant Professor Jonathan Tamir and Professor José del R. Millán were welcomed to the group. [[{"type":"media","view_mode":"media_preview","fid":"1761","attributes":{"alt":"","class":"media-image","height":"180","width":"180"}}]] Dr. Jonathan Tamir holds a joint appointment with the Department of Electrical and Computer Engineering and Dell Medical School’s Department of Diagnostic Medicine. He is also affiliated with the Oden Institute for Computational Engineering and Sciences.

Texas Wireless Summit 2019: Connectivity and Sensing at the Human-Machine Frontier will take place on November 12, 2019 at The University of Texas at Austin. Registration for the Summit is only days away from opening on August 12.

This Spring, WNCG welcomes Intel, NEC, and Western Digital as the newest WNCG Industrial Affiliates Program members. All three companies enter as Level 2 members. Since WNCG’s founding, the Industrial Affiliates Program has played a vital role in the group’s success. It facilitates “cooperation and mutual assistance” between WNCG and Affiliate companies. This collaboration between academia and industry embodies the group’s mission to “support research, provide highly relevant education and opportunities, [and] promote technical innovation, imagination and entrepreneurship.”

Fujitsu Laboratories of America recently joined the WNCG Industrial Affiliate Program as a Level Two Member.

Toyota InfoTechnology Center, U.S.A. (Toyota ITC), recently joined the WNCG Industrial Affiliate Program as a level one member, and as a founding member of the UT SAVES research initiative.

Envision an early cubist painting by the famous artist Pablo Picasso. To the untrained eye, the painting can look like a jumbled series of boxes overlapping and intertwining with each other. But the art of cubism is about exploring the world from multiple perspectives. The painting, which at first looks like boxes, is actually a city seen from multiple perspectives.

Governmental regulations and privacy concerns restrict access to data sets for individuals and only provide researchers with data in aggregated form. However, current machine learning and data mining techniques are restricted in their ability to effectively use such data. These limitations create roadblocks for companies looking for ways to better respond to their consumers’ needs while also providing safety and security for individual users.