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Prof. Shyam Lal from the National Institute of Technology Karnataka, Mangalore, India, is visiting our Lab and teaching a part of the course of Satellite Data Analysis. Prof. Lal is a notable expert in image processing and is applying his expertise not only in the field of spaceborne remote sensing but also in various other fields including for example medical image analysis. Prof. Lal has also given a seminar on his research activities in the morning of Wednesday, 28th November 2018. His 15h in the Satellite Data Analysis course cover specific topics in image analysis and enhancement applied to multispectral satellite data.
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We are very happy to announce that Anna Vizziello has been selected to be included on this year’s list of “N2Women: Rising Stars in Computer Networking and Communications” for her outstanding and impactful contributions to the research community.
The "N2Women: Rising Stars in Computer Networking and Communications” is an annual list which focuses on amazing young women whose career start has already impacted research in networking and/or communications
We congratulate with Anna for this great achievement that highlights her outstanding research results.
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The article "A Kalman based Hybrid Precoding for Multi-User Millimeter Wave MIMO Systems" has been accepted for publication in IEEE Access: http://ieeeaccess.ieee.org/
The authors are: Anna Vizziello, Pietro Savazzi (TLC&RS lab), and Kaushik R. Chowdhury (Northeastern University, Boston MA)
ABSTRACT: Millimeter wave (mmWave) communication in the 60 GHz band requires large antenna arrays at both the transmit and receive terminals to achieve beamforming gains, in order to counteract the severe pathloss. Fully digital techniques are infeasible with large antenna arrays due to hardware constraints at such frequencies, while pure analog solutions have severe performance limitations. Hybrid analog/digital beamforming is a promising solution, especially when extended to a multi-user scenario.
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The manuscript entitled "Experimental data set analysis of RSSI-based indoor and outdoor localization in LoRa networks" has been accepted for publication in Internet Technology Letters [https://doi.org/10.1002/itl2.75]
The authors are: Emanuele Goldoni, Luca Prando, Anna Vizziello, Pietro Savazzi, and Paolo Gamba (TLC&RS lab).
Summary: Positioning capability represents one of the basic features of modern Internet of Things (IoT) applications. Although this objective may be pursued by using Global Navigation Satellite Systems, cheaper and simpler techniques are more suitable for low-power networks. In this letter, we present
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Results are available in the course web page on the Kiro platform
