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.
News
April 9, 2024
New Papers at ISIT 2024:
M. Milanian, M. Jeong, and M. Cardone, “On the Secrecy Capacity of 1-2-1 Atomic Networks”
M. Jeong, M. Cardone, and A. Dytso, “Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels"
S. Jain, M. Cardone, and S. Mohajer, “Sparsity-Constrained Community-Based Group Testing"
S. Vithana , M. Cardone, and F. P. Calmon, “Private Approximate Nearest Neighbor Search for Vector Database Querying”
A. Dytso, and M. Cardone, “Uniform Distribution on (n − 1)-Sphere: Rate-Distortion under Squared Error Distortion"
January 16, 2024
Our paper “Achieving Low Latency at Low Outage: Multilevel Coding for mmWave Channels” has been accepted for presentation at the 2024 IEEE International Conference on Communications (ICC).
December 14, 2023
Our paper “Retrieving Data Permutations from Noisy Observations: Asymptotics” has been accepted for publication in the IEEE Transactions on Information Theory.
September 21, 2023
Our paper “Demystifying the Optimal Performance of Multi-Class Classification” has been accepted for publication at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023).
September 13, 2023
Our paper “Design of a Spiral Coil for High-frequency Wireless Power Transfer Systems using Machine Learning” has been accepted for publication in the IEEE Journal of Emerging and Selected Topics in Industrial Electronics.
