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Martina Cardone

Assistant Professor
Keller Hall; 200 Union St. SE
Minneapolis, MN 55455
Phone: 612-625-1242
 
 
 

 

Research Interests

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

December 7, 2022

I am honored and delighted to be a recipient of the 2022 Russell J. Penrose Excellence in Teaching Award within the ECE Department at the UMN.

October 25, 2022

Our paper "Entropic Central Limit Theorem for Order Statistics" has been accepted for publication in IEEE Transactions on Information Theory.

October 18, 2022

Our paper “Optimization of Spiral Coil Design for WPT Systems Using Machine Learning” has been accepted for publication at the 38th Annual IEEE Applied Power Electronics Conference & Exposition (APEC 2022).

August 25, 2022

Our paper "High-Noise Asymptotics of the Ziv-Zakai Bound" has been accepted for publication in IEEE Signal Processing Letters.

July 11, 2022

Our paper "Ranking Recovery under Privacy Considerations" has been accepted for publication in Transactions on Machine Learning Research.