The primal goal of my research is two-fold: (i) develop theoretical frameworks that offer engineering guidelines and insights for the study of practically relevant problems and (ii) design of computationally feasible techniques aimed to achieve the fundamental theoretical performance limits as close as possible. Examples of topics that have been investigated include the design of: (i) high data rates transmission schemes for 5G heterogeneous/cognitive networks; (ii) low-complexity scheduling and selection algorithms for half-duplex relay networks; (iii) privacy-preserving data publishing techniques; (iv) secure communication strategies to limit network vulnerabilities; (v) distributed caching schemes that leverage probabilistic social interactions to realize bandwidth savings. The study of such topics touches upon properties and concepts from several research fields, such as information theory, optimization, network coding and algorithms. For more information about my research, please see my publications.
Note for Prospective Students: I am looking for motivated students to join my research group in the fall 2019. If you are interested in joining my research group, please send me an email along with your CV explaining your research interests and background.
November 16, 2019
Our paper "Privacy in Index Coding: k-Limited- Access Schemes" has been accepted for publication in IEEE Transactions on Information Theory