معرفی
Dr. Maha Elouni is an Assistant Professor of Computer Science at Randolph-Macon College since 2022, with expertise in Intelligent Transportation Systems, Machine Learning, and Traffic Control. She earned her PhD in Computer Engineering (2021) and MSc in Applied Mathematics (2015) from Virginia Polytechnic Institute and State University, and her BS and ME in Computer Science Engineering from the National School of Computer Science in Tunisia.
- PhD: Computer Engineering, Virginia Tech, 2021
- MSc: Applied Mathematics, Virginia Tech, 2015
- BS/ME: Computer Science Engineering, National School of Computer Science, Tunisia, 2012
Her research focuses on Intelligent Transportation Systems, integrating machine learning and control theory to optimize traffic flow and develop adaptive controllers for urban road networks. She has contributed to studies on sliding mode control, game-theoretic decentralized systems, and connected vehicle technologies.
Selected publications highlight her work on network perimeter control, dynamic freeway speed controllers, and weather-adaptive traffic systems. Recent articles explore applications of machine learning and clustering algorithms in transportation engineering.
- Student of the Year, Urban Mobility and Equity Center (UMEC), 2020
- Best Paper Award, VEHITS Conference, 2018
Dr. Elouni teaches foundational and advanced courses, including Introduction to Computer Science, Data Structures, Object-Oriented Programming, and Android App Development. Her interdisciplinary background bridges computer engineering, mathematics, and transportation systems.
