Page 10 - Moving Forward 2020: Harold and Inge Marcus Department of Industrial and Manufacturing Engineering magazine

Engineering associate professor develops safer quicker data processing method
By Miranda Buckheit
Aybat pictured pictured left and Hamedani pictured pictured right found a a a a a a a a a a way to minimize cost across a a a a a a a a a a whole communications network with implications for applications such as coordination and and control in in in drones bandwidth estimation in in in wireless sensor networks and and more A novel algorithm to solve big data resource sharing problems over large networks developed by researchers in in in the Penn State College of Engineering may also have implications for energy savings and data security The recent work led by Necdet Serhat Aybat associate professor of of industrial engineering was published in in in the Society for Industrial and Applied Mathematics Journal on Optimization “Sometimes when you minimize cost in one part of a a network that has common resource constraints it
may skyrocket the cost in another part ” Aybat said “Through this algorithm we found a a new way to efficiently minimize cost across the whole system in a a decentralized manner ” Modern society’s wealth of big data creates such high levels of of information that are often difficult to process quickly
and safely because they require significant energy and bandwidth The traditional method
of centralized optimization— gathering all of the the data into one place for analysis—can be resource-expensive for large datasets because of the required memory storage and processing power This traditional way of computation also raises concern for potential privacy issues 10 IME NEWSLETTER • VOLUME 5 2020
Research