$5 million NSF grant supports innovative approach to prevent foodborne illnesses
Like a silent saboteur, foodborne pathogens can sneak up and ruin your next meal. One of the biggest culprits is salmonella, a type of bacteria found in many foods that causes more than 1.3 million cases of foodborne illnesses annually according to the Centers for Disease Control and Prevention. Despite nationwide efforts, salmonella’s infection rates have remained nearly unchanged for the past 30 years. Now, MU is part of an interdisciplinary effort determined to change that after recently receiving a three-year, $5 million grant from the National Science Foundation’s Convergence Accelerator program.
Mizzou Engineer leads regional research computing effort
A team of seven experts from universities across the region — led by Mizzou Engineering’s Timothy Middelkoop — recently received $1.4 million from the National Science Foundation to both meet this need and provide workforce development to fill an emerging need in high-performance research computing.
Faculty cultivate creativity at NSF-funded academy
Biomedical, biological and chemical engineering faculty aim to incorporate creativity into the classroom following NSF-funded academy.
Detecting Deepfake Photos, Videos with a Computerized Brain
Imagine seeing yourself in a photo or video that was never taken, with your head possibly appearing on another person’s body. You’re likely a victim of a deepfake cyberattack — where cyber attackers expertly alter images and videos shared on a social media platform to fool people into believing what they are seeing is true.…
Mizzou Engineer leads regional research computing effort
Many colleges and universities…
Mizzou Engineering’s Chadha protecting your data, identity
While hacking databases is the main way for interested parties to gain users’ personal information, it’s not the only possibility. Intrepid attackers can use perfectly benign means to do so. How? By using readily available aggregate data — for example: census data, medical data focused on how many people in an area suffer from a specific illness, consumer trend data, etc. — and using it to focus on specific individuals.