/Brian Staszel

About Brian Staszel

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So far Brian Staszel has created 6 blog entries.

George Kantor Speaks at SXSW : AI Will Help Feed A Growing Planet

AI Will Help Feed A Growing Planet By the year 2040, there will be more people on the planet than food to feed them. Researchers want to change that: a sustainable solution to the emerging world food crisis is sprouting in an artificial intelligence (AI) lab in Carnegie Mellon University's Robotics Institute. Much more than [...]

Qualcomm Innovation Fellowship Winners

Minh Vo and Aayush Bansal were among the winners of 2017 Qualcomm fellowships. Congratulations! The QInF program is focused on recognizing, rewarding, and mentoring innovative PhD students across a broad range of technical research areas, based on Qualcomm’s core values of innovation, execution and teamwork. QInF enables graduate students to be mentored by our engineers [...]

Chieko Asakawa elected to National Academy of Engineering

The National Academy of Engineering (NAE) has elected 84 new members and 22 foreign members, announced NAE President C.D. (Dan) Mote Jr. today. This brings the total U.S. membership to 2,281 and the number of foreign members to 249. Election to the National Academy of Engineering is among the highest professional distinctions accorded to an [...]

BigData is getting bigger & better in the food industry

From IFT.org: Artur Dubrawski, director of the Auton Lab, Carnegie Mellon University, said that the lab researches new approaches to statistical data mining, specifically the underlying computer science, mathematics, statistics, and artificial intelligence of detection and exploitation of patterns in data. Government agencies routinely collect different kinds of data reflecting various issues regarding food safety, [...]

Gleason receives NSF GFRP fellowship

Cole Gleason, a Ph.D. student advised by Dr. Kris Kitani (RI) and Jeff Bigham (HCII), received a NSF GFRP fellowship. Cole's research focuses on developing navigation technology for people with visual impairments by combining computer vision and crowdsourcing. Full story here

Personal Object Recognizers for Blind People Receive Honorable Mention at CHI 2017

Personal Object Recognizers for Blind People Receive Honorable Mention at CHI 2017[/caption] Robotics Institute faculty Kris Kitani and Chieko Asakawa in collaboration with Human-Computer Interaction Institute postdoctoral fellow Hernisa Kacorri and faculty Jeffrey Bigham received a Best Paper Honorable Mention for their project helping blind people identify objects at the ACM CHI Conference on Human [...]