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. 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 24, 2020
Our paper “Recovering Data Permutations from Noisy Observations: The Linear Regime” has been accepted for publication in IEEE Journal on Selected Areas in Information Theory – Statistical Estimation and Inference
October 19, 2020
Our paper "Gaussian 1-2-1 Networks: Capacity Results for mmWave Communications" has been accepted for publication in IEEE Transactions on Information Theory
October 10, 2020
Our paper "Gradient of Error Probability of M-ary Hypothesis Testing Problems under Multivariate Gaussian Noise" has been accepted for publication in IEEE Signal Processing Letters
May 12, 2020
Our paper "The Approximate Capacity of Half-Duplex Line Networks" has been accepted for publication in IEEE Transactions on Information Theory
April 12, 2020
New Papers at ISIT 2020:
1) M. Jeong, A. Dytso, M. Cardone and H. V. Poor, "Recovering Structure of Noisy Data through Hypothesis Testing"
2) S. Jain, S. Mohajer and M. Cardone, "Best Relay Selection in Gaussian Half-Duplex Diamond Networks"
3) Y. H. Ezzeldin, M. Cardone, C. Fragouli and G. Caire, "Gaussian 1-2-1 Networks with Imperfect Beamforming''