Surface wave cloaking using transformation optics
Conference Proceeding
La Spada, L., & Hao, Y. (2015)
Surface wave cloaking using transformation optics. In 2015 1st URSI Atlantic Radio Science Conference (URSI AT-RASC)doi:10.1109/ursi-at-rasc.2015.7302892
Recently, there has been an increasing interest in the study of manipulating surface waves from microwave to optical frequencies [1, 2], especially for the design of conformal...
Sensor design for cancer tissue diagnostics
Presentation / Conference
La Spada, L., Bilotti, F., & Vegni, L. (2012, April)
Sensor design for cancer tissue diagnostics. Paper presented at SPIE Photonics Europe
In this paper, the design of a metamaterial-based sensor, operating in the mid-infrared frequency range, is proposed. The sensor consists of a planar array of complementary ci...
Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach
Journal Article
Di Mauro, M., & Liotta, A. (2019)
Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach. IEEE Transactions on Network and Service Management, 16(4), 1493-1506. https://doi.org/10.1109/tnsm.2019.2943776
The Next Generation 5G Networks can greatly benefit from the synergy between virtualization paradigms, such as the Network Function Virtualization (NFV), and service provision...
Optical Properties of Modified Nanorod Particles for Biomedical Sensing
Journal Article
Iovine, R., Spada, L. L., & Vegni, L. (2014)
Optical Properties of Modified Nanorod Particles for Biomedical Sensing. IEEE Transactions on Magnetics, 50(2), 169-172. doi:10.1109/tmag.2013.2284552
In this paper, an analytical and numerical investigation for modified gold nanorod particles, operating in the visible and in the infrared regime is proposed. The modified par...
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
Journal Article
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018)
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), 1-12. https://doi.org/10.1038/s41467-018-04316-3
Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from ...
Surface plasmon resonance of nanoshell particles with PMMA-graphene core
Journal Article
Tarparelli, R., Iovine, R., La Spada, L., & Vegni, L. (2014)
Surface plasmon resonance of nanoshell particles with PMMA-graphene core. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 33(6), 2016-2029. doi:10.1108/compel-11-2013-0351
The purpose of this paper is to contribute an analytical and numerical study of a new type of nanoshell particles operating in the visible regime.
The structure consists of a ...
Metamaterial biosensor for cancer detection
Conference Proceeding
La Spada, L., Bilotti, F., & Vegni, L. (2012)
Metamaterial biosensor for cancer detection. In SENSORS, 2011 IEEEdoi:10.1109/icsens.2011.6127103
In this study a low-cost, compact, and high-performing metamaterial-based biosensor operating in the GHz regime is presented. The sensor is designed to detect the presence of ...
Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks
Journal Article
Torres Vega, M., Koonen, A. M. J., Liotta, A., & Famaey, J. (2018)
Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks. IEEE Wireless Communications Letters, 7(2), 278-281. https://doi.org/10.1109/lwc.2017.2771771
In light of the extreme radio congestion, the time has come to consider the upper parts of the electromagnetic spectrum. Optical beam-steered wireless communications offer gre...
Decentralized dynamic understanding of hidden relations in complex networks
Journal Article
Mocanu, D. C., Exarchakos, G., & Liotta, A. (2018)
Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports, 8(1), https://doi.org/10.1038/s41598-018-19356-4
Almost all the natural or human made systems can be understood and controlled using complex networks. This is a difficult problem due to the very large number of elements in s...
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks
Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019)
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371
High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning,...