ECE Video Highlights

Detecting Deep Fakes Video through Media Forensics

Several software tools are available that allow users to easily manipulate the faces and audio in videos. These videos, called deepfakes, are usually harmless, but there is the potential for them to be created to sway political opinion or hurt a person's reputation.

Purdue engineers are working to identify examples of video tampering as part of more extensive research in media forensics. They’ve developed sophisticated machine learning techniques to create an algorithm that detects deepfakes.

Engineering Career Exploration: Electrical and Computer Engineering

The School of Electrical and Computer Engineering offers two Bachelors degrees - a Bachelor of Science in Electrical Engineering (BSEE) and a Bachelor of Science in Computer Engineering (BSCmpE).

Securing the Internet of Body

Your body is your Internet, and it should to be protected from remote hacks, just like your computer. While this hasn't happened in real life yet, researchers have been demonstrating for at least a decade that it's possible.

Before the first crime happens, Purdue University engineers have tightened security on the "Internet of Body." Now, the network you didn't know you had is only accessible by you and your devices, thanks to technology that keeps the communication signals within the body itself.

ECE Lab Renovations

The undergraduate labs in the EE building have been modernized with modular rooms and an updated infrastructure!

SMART: Using Social Media Data for Emergency Management

Purdue University researchers have developed an online platform that enables first responders to monitor emergency situations using tweets and Instagram posts.

Social Media Analytics and Reporting Toolkit (SMART) is a browser-based platform that filters social media content according to key words and geographic regions defined by the user. First responders have been using a beta version of the tool to analyze both live and historical data.

Autonomous Diaper Sensor for better UTI detection

Urinary tract infections (UTIs) are the second most common type of infection in children, with ear infections taking first place. Responsible for nearly 10 million doctor visits each year in the U.S., urinary tract infections can also be a major source of additional disease, particularly for elderly people.

Purdue University researchers have come up with a way to embed an autonomous sensor device in diapers to better detect UTIs. The disposable device has been tested and proven to accurately detect the infection.