Computer & Information Science
University of Michigan - Dearborn
Dearborn, MI 48128
Mohamed Abouelenien is an Assistant Professor in the Department of Computer and Information Science, College of Engineering and Computer Science at the University of Michigan-Dearborn. He was a Postdoctoral Research Fellow in the Electrical Engineering and Computer Science Department at the University of Michigan, Ann Arbor from 2014-2017. In 2013, he received his Ph.D. in Computer Science and Engineering form the University of North Texas.
His areas of interest broadly cover data science topics, including applied machine learning, computer vision, and natural language processing. He established the Affective Computing and Multimodal Systems Lab (ACMS) which focuses on modeling human behavior and developing multimodal approaches for different applications. He has worked on a number of projects in these areas, including multimodal deception detection, multimodal sensing of drivers’ alertness levels and thermal discomfort, distraction detection, circadian rhythm modeling, emotion and stress analysis, automated scoring of students' progression, sentiment analysis, ensemble learning, and image processing, among others. His research is funded by Ford Motor Company (Ford), Educational Testing Service (ETS), Toyota Research institute (TRI), and Procter & Gamble (P&G). Abouelenien has published in several top venues in IEEE, ACM, Springer, and SPIE. He also served as a reviewer for IEEE transactions and Elsevier journals and served as a program committee member for multiple international conferences.