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.