Rashad Eletreby is currently a fourth-year PhD candidate in the Electrical and Computer Engineering department at Carnegie Mellon University. He is advised by Prof. Osman Yağan and his research interests span the areas of machine learning, network science, wireless communications, internet-of-things, and random graph theory. Over the past four years, his research has appeared in IEEE Transactions on Information Theory, IEEE Transactions on Control of Network Systems, ACM SIGCOMM, IEEE ISIT, IEEE CDC, and Allerton. He has been recognized by multiple prestigious fellowships including Dowd Fellowship, Carnegie Mellon University Presidential Fellowship, William J. Happel Fellowship, and Carnegie Institute of Technology Dean’s Fellowship. In summer 2018, he joined the Wireless Connectivity group at Robert Bosch LLC for a summer internship.
Honors and Awards
Python, MATLAB, C++, Network Science, Machine Learning, Random Graph Theory, Probability Theory, Graph Theory, Stochastic Models, Wireless Communications, IoT, Modeling Information Propagation, Indoor Localization.