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The Latest News, Articles, and Events in Signal Processing

Video distribution services have been growing exponentially in the past decade. Cisco Visual Network Index Report predicts that globally, IP video traffic will be 82 percent of all consumer Internet traffic by 2020, up from 70 percent in 2015. 

Lecture Date: September 25, 2017
Chapter: Tokyo
Chapter Chair: Shoji Makino
Topic: Data Fusion through Matrix and Tensor Factorizations:
Uniqueness, Diversity, and Interpretability

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Lecture Date: September 22, 2017
Chapter: Kansai (Japan)
Chapter Chair: Tatsuya Kawahara
Topic: Multiset and Multimodal Data Fusion: Benefits of Fully Exploiting Diversity

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Lecture Date: December 20, 2017
Chapter: New Zealand Central/North/South
Chapter Chair: Yusuke Hioka
Topic: "Hierarchical joint classification models for multi-resolution,
multi-temporal and multi-sensor remote sensing images. Application to natural disasters"

Lecture Date: December 15, 2017
Chapter: New South Wales (Australia)
Chapter Chair: Ollencio R D'Souza
Topic: Marked Point Processes for Object Detection in High Resolution Images:
Application to Earth Observation and Cartography

Lecture Date: December 11, 2017
Chapter: Victorian (Australia)
Chapter Chair: Abd-Krim Seghouane
Topic: Marked Point Processes for Object Detection in High Resolution Images:
Application to Earth Observation and Cartography

Lecture Date: December 1, 2017
Chapter: Hong Kong
Chapter Chair: Lai-Man Po
Topic: Marked Point Processes for Object Detection in High Resolution Images:
Application to Earth Observation and Cartography

Lecture Date: December 5, 2017
Chapter: Western Australia
Chapter Chair: Nan Yang
Topic: Marked Point Processes for Object Detection in High Resolution Images: Application to Earth Observation and Cartography

KU Leuven

The aim of this PhD project is to develop a novel ultrasound methodology that enables non-invasive read-out of the acoustic properties of radiation-sensitive microbubbles in order to construct a dose map. Hereto, acoustic models of wave propagation through soft tissue will be combined with advanced signal processing techniques. The developed methodology will extensively be validated in experimental setups (both in-vitro and in-vivo).

Igor Moáco Guerreiro, Federal University of Ceará, Brazil (2017), "Distributed optimization techniques for 4G and beyond", advisor: Charles Casimiro Cavalcante

The Multimedia Signal Processing Technical Committee (MMSP-TC) of the IEEE Signal Processing Society, which is the organizer of the MMSP workshop, invites proposals for the 2020 workshop edition. 

The Nominations and Appointments Subcommittee for each Technical Committee is currently seeking nominations for new Members, as well as the Vice Chair position for some Technical Committees. Nominations for both positions should be submitted directly to each Technical Committee’s Nominations and Appointments Subcommittee. Please provide the name, contact information and biography with the nomination.

The IEEE Board of Directors has approved the 2018 IEEE Technical Field Awards. The complete list of recipients and their citations is online at www.ieee.org/awards. Please feel free to send your notes of congratulations and to publicize the recipients within your IEEE and professional affiliations.

For our July 2017 issue, we cover recent patents granted in the area of image denoising.

Published in TC News on 1 July 2017

One of IEEE’s newest members is Terah Lyons, a former policy advisor for the Obama administration’s Office of Science and Technology Policy, who joined IEEE in March.

Pourkamali Anaraki, Farhad. University of Colorado at Boulder,(2017) "Randomized Algorithms for Large-Scale Data Analysis", advisor: Becker, Stephen

Massive high-dimensional data sets are ubiquitous in all scientific disciplines.

Fan, Bin. Michigan State University, (2017) "Polycrystalline diamond based neural interface for optogenetics and neurotransmitter detection" advisor: Wen Li

The U.S. Department of Homeland Security (DHS) has kicked off a challenge to improve the algorithm Transportation Security Administration (TSA) uses to detect airport security threats. The goal of this competition is to reduce the number of false alarms while maintaining high levels of security using image data. This is because when the scanning equipment predicts a potential threat, a TSA agent must engage in a secondary, manual screening process that slows everything down.

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