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2020

A shot of the University of Arizona's Old Main building, with a fountain in the foreground.

UArizona Receives $4M in Federal Grants to Support Underrepresented Students

Three grants from the U.S. Department of Education's TRIO Programs will help first-generation students, students from low-income households and students with disabilities pursue STEM majors, earn bachelor's degrees and become teachers.
Hao Xin

Hao Xin Becomes UA Engineering 2020 da Vinci Fellow

From autonomous vehicle technology to medical diagnostics, ECE professor is a pro at moving inventions to market.
Photo of Old Main taken from the west, with the fountain in the foreground.

UA Makes Major Leap in US News & World Report Rankings

The UA is ranked No. 97 overall – up 20 spots from last year's ranking – and No. 40 among public universities. It is the university's first appearance in the top 100 since 2009 and its overall score of 61 marks an all-time high for UA in...
Quantum computer

UArizona Collaborates on $115M Effort to Build Quantum Computer

Three College of Engineering researchers are involved in the Superconducting Quantum Materials and Systems Center, which is part of a $625 million federal program to foster quantum innovation in the United States.

DARPA Selects Quntao Zhuang for Young Faculty Award

Electrical and computer engineer will advance research into quantum sensing capabilities.
Old Engineering Building

College Welcomes New Faculty, Leadership

Three new professors, two new department chairs and an associate dean for research join the team to help lift the College of Engineering to new heights in mining, chemical and environmental engineering, additive manufacturing and other strategic...
Jonathan Sprinkle in front of the CAT Vehicle

Jonathan Sprinkle Takes Helm of Transportation Research Institute

Electrical and computer engineer brings an expertise in autonomous vehicle technology and cyber-physical systems.
two planes of orange light with nodes connected by lines of white light

Researchers Work to Ensure Accurate Decoding in Fragile Quantum States

An electrical and computer engineer at the University of Arizona is developing error correction technology for high-speed quantum computing.

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