Technical Talk : Compressive Sensing – Theory and Applications in Communications and Big Data | 17 May 2016

Title :  Compressive Sensing: Theory and Applications in Communications and Big Data
Date :  17 May 2016 (Tuesday)
Time :  9:00am – 1:00pm
Venue :  Dewan Taklimat, Level 2, Tower Block, Faculty of Engineering, UPM


This tutorial covers theory and applications of compressive sensing to modern information processing systems, focusing on large-scale, distributed information processing and big data. The tutorial first gives a detailed overview of compressive sensing theory, including its motivations, the main theoretical results and the most significant application areas. Then, it surveys a few new applications to scenarios where compressive sensing can provide a significant performance boost. In particular, the tutorial will describe compressive sensing applications in the framework of low-power distributed systems and sensor networks, applications to big data including large-scale camera identification for image copyright protection in social media sites, the use of compressing sensing as an encryption layer, and the use of the sparsity model for indoors localization.


Speaker: Assoc. Prof. Enrico Magli

Enrico Magli was born in Torino (Italy) in 1972. He received the degree in Electronics Engineering in 1997, and the Ph.D. degree in Communications Engineering in 2001 at Politecnico di Torino. From January 2011 he holds an Associate Professor position in the Dept. of Electronics of the same University. His research activities are in the field of compressed sensing, error resilient image and video coding, compression of remote sensing images, distributed source coding, and image/video security. He has coauthored over 130 scientific papers in international journals and conferences, including more than 50 journal papers, and has organized several journal special issues and conference special sessions.
Poster of the event is attached below.
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