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EIA Advanced Research Finalists

The Engineering Impact Awards invite engineers, scientists, and researchers from around the world to submit impactful applications created with our software and hardware. The annual event showcases an impressive collection of applications to highlight the impact these projects have on Advanced Research.

 

Find out more about this year’s outstanding finalists:

 

 

fpga.jpg

FPGA-Based Machine Learning for Enhanced Security of Wireless Medical Devices

 

Hiller Measurements

Dr. Heena Rathore

 

Even Internet of Things (IoT) medical devices are susceptible to cyberattacks. With that in mind, Dr. Rathore and her research team at Qatar University, University of Idaho, Temple University and xthink have created an FPGA-optimized machine learning algorithm to prevent breaches in implantable medical devices such as insulin pumps, brain simulators, and pacemakers. The team's ultimate goal is to protect the privacy and well-being of patients. 

 

Using the LabVIEW FPGA Module and NI myRIO hardware for rapid prototyping, her team has deployed a neural network for securing diabetic treatment on FPGAs and achieved 98.1 percent accuracy in classifying fake versus genuine glucose measurements. 

 

Dr. Rathore and her team at Hiller Measurements now plan to extend her work to the topic of cyber hardening of test and measurement systems. They plan to look at how test systems can be protected against cyber attacks and attacks on sensors and calibration devices in test systems. Additionally, Dr. Rathore is also investigating how to provide security in connected vehicles leveraging some of her prior work. Such work could help an upcoming research area focused on real-time machine learning as opposed to machine learning reacquire or stored data.

 

Automating Microgravity Biological Experiments Onboard the International Space Station

 

BioServe Space Technologies

Jonathan Anthony, Stefanie CountrymanBioserve SABL.jpg 

 

In partnership with NASA, BioServe Space Technologies created the Space Automated Bioproduct Laboratory (SABL) to understand how microgravity affects biochemical processes such as molecular diffusion, buoyancy, and heat transport. Differences in those processes can create new behaviour within biological systems and studying those types of changes can lead to improved disease treatments and human health in space and on Earth.

 

Aboard the International Space Station, three SABL units operate a smart incubator/ freezer to process experiments ranging from lung cell examinations to magnetic 3D cell culturing. Although conducted in space, many of the experiments target treatments or Earth-based disorders such as osteoporosis, kidney disease, and Parkinson's. 

 

BioServe selected the NI sbRIO-9636 CompactRIO Single-Board Controller as SABL's primary hardware controller due to its compact form factor, high reliability, and impressive adaptability enabled by a reconfigurable Xilinx FPGA programmable with LabVIEW. 

 

What's next? NASA chose SABL to support the LEO control experiment for the BioSentinel investigation in 2020 as part of the EM-1 mission around the moon. Additionally, BioServe expects to deploy SABL units to future space stations including commercial stations and NASA's planned lunar gateway. 

 

Learn more about the other 2019 Engineering Impact Awards Finalists:

Can't make it to the award ceremony? Watch the livestream here