Research team uses New York City taxi data, machine learning to predict demand for air taxi services
Researchers studied the potential demand for air taxi services in New York City.
Optimal break times improve work performance, study shows
Workers who perform routine tasks do so faster and with fewer errors if they take breaks at the right times, a Mizzou Engineering team has found.
Smart appointment system could decrease patient wait time
A Mizzou Engineer has developed an appointment system that uses machine learning to help clinics more efficiently schedule patients.
Truck, drone collaboration could optimize package delivery
What makes Sharan Srinivas’ research unique is that it allows trucks to serve as mobile depots for multiple delivery drones.
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.
Optimizing local food systems in cities
Feeding a growing urbanized U.S. population which also wants increased sustainability and locally sourced food presents a major challenge. One part of the solution could be to optimize food production in urban areas, according to research performed by a team including Associate Professor Ron McGarvey.
Going up with air taxi service
Flying cars are closer than ever to being a reality. But with this new technology comes operational questions that Suchithra Rajendran is attempting to answer.
Mizzou Engineer Researching Predictive Maintenance with Aid of Machine Learning
Failing equipment, whether a dead car battery or paper jam, can ruin your day and alter your plans. Or a manufacturer’s production line fails for an unknown reason, causing delays in production, shipping and sales. Currently, there is very little to no warning given to address these problematic issues before they happen. However, Kangwon Seo, an assistant professor in industrial and manufacturing systems engineering with a joint appointment in statistics, is researching how machines can use predictive maintenance themselves to detect when they are going to fail.
Improving Workflow in an Intensive Care Unit
Jung Hyup Kim, associate professor in Industrial and Manufacturing Systems Engineering, is investigating how to help nurses spend more time with patients who need extra care, especially in a hectic ICU environment.
Mizzou research aims to improve driver alerts through science
If researchers can predict how drivers will react, they can better tailor systems either broadly or potentially to individual motorists. Mizzou Engineering Assistant Professor Jung Hyup Kim’s research opens the door to potentially creating a more interactive system.