Dr. Mohammad Rawashdeh

Research Areas: Machine Learning

Dr. Rawashdeh has a Ph.D. in Computer Science from the University of Cincinnati, MS in Computer Science from Yarmouk University, and BS in Applied Mathematics from Jordan University of Science and Technology. His main research interests are in unsupervised and supervised machine learning with focus on cluster analysis, and the application of fuzzy logic to uncertainty management in intelligent systems.