Turner Business

Two Turner College faculty announced their retirements at the end of the 2021-2022 academic year.   Leslie Adah , an assistant professor of accounting, joined the Turner College faculty in 2017 from his prior stints on the accounting faculties at Mississippi State University and the University of Memphis.   He earned a doctorate in business and accounting from Jackson State University.   Jong Ha , a Professor Management, joined the Turner College in 2007.   He earned a doctorate from Georgia State University and was a previous holder of the Turner College’s Rothschild Chair of Business Leadership.   Both the staff at Turner Business and the faculty and staff of the Turner College wish them both a happy retirement.

Confronting Network Congestion at the Edge As explained in research by TSYS School professor of computer science Mohamed Riduan Abid and his colleagues Salmane Douch, Khalid Zine-Dine and Driss Bouzidi of Mohammed V University, along with Driss Benhaddou of the University of Houston, increasingly stringent constraints related to bandwidth and jitter that have been imposed by novel applications (e.g., e-Health, autonomous vehicles and smart cities) are now combining with the rapidly increasing number of connected Internet of Things devices so that the core network is becoming overly congested.  To deal with this concern, edge computing is emerging as an innovative computing paradigm that leverages Cloud computing to process and cache data at the edge, thus reducing network congestion and latency.  Given this backdrop, Abid and his co-authors present, in a forthcoming issue of IEEE Access , a detailed, thorough, and well-structured assessment of edge computing and its enabling technolo

Molding Machine Learning for Business Among machine learning techniques, classification techniques are useful for various business applications, but classification algorithms perform poorly with imbalanced data.   In their study appearing in a 2022 issue of Information Systems Frontiers , Turner College assistant professor of management information systems Yoon Lee and Chris Bang of Auburn University – Montgomery propose a classification technique with improved binary classification performance on both the minority and majority classes of imbalanced structured data.   Their technique involves three steps, including creation of a balanced training set via under-sampling and converting it into an image depicting a line graph.   The third and final step in the process includes training a Convolutional Neural Network, which is a Deep Learning algorithm that can absorb an input image, assign importance to various objects in the image, and differentiate one from the other, using the image