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University of Arizona electrical and computer engineering assistant professor Ravi Tandon wants to help industries make the most of their big data.ECE assistant professor Ravi Tandon teaching a class

For his research in information theory and coding, Tandon received a $500,000 Faculty Early-Career Development Award from the National Science Foundation, its highest honor for junior faculty members.

The award helps fund Tandon's continued research to make data exchange in distributed cloud computing more efficient – specifically by developing adaptable code and algorithms to minimize communications among machines and help them work together more effectively.

In addition to supporting research, the NSF Career Awards include an outreach component. Tandon is collaborating with the Southern Arizona Research, Science and Engineering Foundation to involve high school students and with the Arizona Science, Engineering and Mathematics organization and UA STEM Learning Center to engage K-12 students.

Technology in development by associate professor Roman Lysecky may better detect malware in implanted medical devices and help save lives.

UA doctoral student Sixing Lu is helping ECE associate professor Roman Lysecky develop technology on a prototype network-connected pacemaker (left) to detect hacking of a real pacemaker (right)

"By 2020 most of the 20 billion electronic devices on the market will be interconnected – and millions of these will be implantable medical devices," said Lysecky.

If one of these life-critical devices, such as a cardiac pacemaker, is exposed a hacker could plant malware and seriously endanger an individual's health.

To aid in their research, Lysecky's team, including doctoral student Sixing Lu, built a prototype network-connected pacemaker to detect hacking of a real pacemaker.

Helping him further reduce cybersecurity risks in biomedical devices are ECE professors Jerzy Rozenblit and Janet Meiling Roveda, with funding from the National Science Foundation. Together they are developing runtime anomaly detection to signal the presence of malware in pacemakers, and designing mathematical models to analyze similar changes in power consumption and electromagnetic radiation.

Join ECE corporate supporter Keysight Technologies for a free webinar later this month on the benefits of their ready-to-teach IoT Applied Courseware.Internet of Things

Keysight's Brad Jolly, a senior application engineer, will discuss how faculty can incorporate the customizable software's practical design and test techniques to prepare their students for tomorrow's challenges and opportunities in the Internet of Things, or IoT.

Register online for Educate Tomorrow's IoT Engineers.

Date: Tuesday, March 14, 2017
Time: 11 a.m.
Duration: 1 hour

Students from around the world will soon compete for a chance to take the wheel – metaphorically speaking – of UA's Cognitive and Autonomous Test, or CAT, vehicle.

Professor Jonathan Sprinkle in the UA CAT vehicle

Under the guidance of ECE professor Jonathan Sprinkle, the CAT Vehicle Challenge gives undergraduate student teams the opportunity to "drive" the driverless SUV using their own code. 

Judges are particularly interested in seeing software that can be mathematically proven safe, said ECE graduate student Matthew Bunting.

Sprinkle has long been a vocal advocate for autonomous technology. For the past five summers he has led a NSF Research Experiences for Undergraduates program that gives students the chance to pilot the CAT vehicle. He is also involved with UA Tech Parks' efforts to serve as a federal testing site for autonomous vehicles.  

University of Arizona College of Engineering