2021

Sep 22

Resetting the standard in orthopedics Opens in new window

Exoform, a customizable, semi-rigid material with self-fusing edges has the potential to eliminate many of the doctors visits that go along with broken bones, not to mention help them heal faster.

Sep 20

Artificial Intelligence you can trust Opens in new window

Professor Ding Zhao developed a new course that trains engineering students how to make artificial intelligence trustworthy.

Sep 16

An EV-olution for charging stations

INCEPTS software is one of the first tools that uses real-world data to consider traffic-centric, environmental, and geographical effects on electric vehicle batteries.

Sep 07

Ultrafine and ultra-toxic? Opens in new window

First nationwide ultrafine particle study paves the way for understanding health effects and revisiting government regulation.

Sep 03

Hands-on learning in Tech Spark’s Manual Machining course Opens in new window

Students in 24-200 have the chance to work directly with a wide variety of machining equipment and learn to become better engineers while they’re doing it.

Sep 02

Releasing the heat

Researchers develop a universal model to predict the thermal boundary conductance of a multilayered-metal-dielectric interface. This model will help to streamline the development of thermally efficient devices.

Aug 26

Sense and signal Opens in new window

A novel brain-computer interface will allow the severely paralyzed to send email messages and perform daily tasks like online shopping and banking with their minds.

Aug 16

Simulating fluid flow to study disease

New MechE faculty member Noelia Grande Gutiérrez uses computational modeling to study the fluid mechanics of blood flow to design personalized therapies for thrombosis, earlier diagnosis of coronary artery disease, and precise, targeted drug delivery for cancer.

Aug 10

Tuning synthetic collagen threads for biohybrid robots Opens in new window

Researchers in Victoria Webster-Wood’s Biohybrid and Organic Robotics Group are using techniques from tissue engineering to refine tendon-like collagen threads for a new generation of robots.

Aug 09

Using deep learning to research material transport in the brain

Understanding the causes of degenerative diseases like Alzheimer's, Huntington's, and Parkinson's will require the meticulous investigation into the complex, branch-like neurite networks of the brain. Machine learning can be an efficient, highly accurate part of this process.

Aug 03

Designing for a brighter future

New MechE faculty member and alumnus Christopher McComb wants to develop successful human-machine teams, create a student-centered learning environment, and give designers computational superpowers.

Jul 27

Pushing through nanopores: Genetic sequencing with MXene Opens in new window

MXene—a single layer, two-dimensional nanomaterial—shows potential for solid-state, nanopore-based DNA sequencing. This could lead to efficient, rapid diagnostics and personalized medicine.

News mentions include recent publications, funding announcements, student accolades, and more.

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