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The Latest News, Articles, and Events in Signal Processing

This year the Signal Processing Society identified 9 Chapters who exhibited excellence in many facets of chapter management, member recruitment, and activities.

This webinar, part of the new IEEE JSTSP webinar series on recent special issues (Sis), will overview the Joint Communication and Radar Sensing (JCR) for Emerging Applications. The webinar will start with a brief motivation of the area of JCR, followed by a summary of the technical papers that appear in the SI.

IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.

The Signal Processing Society (SPS) has 12 Technical Committee that support a broad selection of signal processing-related activities defined by the scope of the Society.

Dr. Meredith Ringel Morris is Director of People + AI Research at Google. Prior to joining Google Research, Dr. Morris was Research Area Manager for Interaction, Accessibility, and Mixed Reality at Microsoft Research, where she founded Microsoft’s Ability research group. 

The Steering Committee of IEEE Transactions on Wireless Communications (TWC) invites nominations for the position of Editor-in-Chief for the journal for a two-year term starting on 1 January 2023. The term is renewable for up to additional two years.

Prof. Christian Jutten received Ph.D. (1981) and Doctor es Sciences (1987) degrees from Grenoble Institute of Technology, France. He was Associate Professor (1982-1989), Professor (1989-2019), and in September 2019, became Professor Emeritus at University Grenoble Alpes. 

Elisa Konofagou is the Robert and Margaret Hariri Professor of Biomedical Engineering and Professor Radiology as well as Director of the Ultrasound and Elasticity Imaging Laboratory at Columbia. Her main interests are in the development of novel elasticity imaging techniques and therapeutic ultrasound methods.

Do you know someone who has made notable contributions to signal processing or service to the IEEE Signal Processing Society? Now is your chance to recognize them by nominating them for an SPS award!

May 13-15, 2022
Registration Deadline: N/A
Location: Kerala, India

Lecture Date: May 6, 2022 -- Virtual Lecture
Chapter: Madras Chapter
Chapter Chair: N. Venkateswaran
Topic: Spectral Methods for Data Science

Massachusetts Institute of Technology

The MIT Laboratory for Information and Decision Systems (LIDS) at the MIT Institute for Data, Systems, and Society (IDSS) and the MIT Schwarzman College of Computing is seeking applicants for a Postdoctoral Scholar to perform independent research in the broad areas of machine learning and intelligent systems, mentored by Prof. Navid Azizan (azizan.mit.edu).

IEEE Transactions on Information Forensics and Security

Near-InfraRed and VISual (NIR-VIS) face matching, as one of the most representative tasks in Heterogeneous Face Recognition (HFR), aims at retrieving a face image across different domains. With the development of deep learning and the growing demand for intelligent surveillance, it has aroused more and more research attention in the computer vision community.

IEEE Transactions on Information Forensics and Security

With the wide use of smartphones, more private data are collected and saved in the smartphones. This raises higher requirements for secure and effective user authentication scheme. Continuous authentication leverages behavioral biometrics as identity information and shows promising characteristics for user verification in a continuous and passive means.

IEEE Transactions on Computational Imaging

Hyperspectral imaging (HSI) has become an invaluable imaging tool for many applications in astrophysics or Earth observation. Unfortunately, direct observation of hyperspectral images is impossible since the actual measurements are 2-D and suffer from strong spatial and spectral degradations, especially in the infrared.

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Deep neural networks (DNNs) represent the mainstream methodology for supervised speech enhancement, primarily due to their capability to model complex functions using hierarchical representations. However, a recent study revealed that DNNs trained on a single corpus fail to generalize to untrained corpora, especially in low signal-to-noise ratio (SNR) conditions.

IEEE/ACM Transactions on Audio, Speech, and Language Processing

In many real-world settings, machine learning models need to identify user inputs that are out-of-domain (OOD) so as to avoid performing wrong actions. This work focuses on a challenging case of OOD detection, where no labels for in-domain data are accessible (e.g., no intent labels for the intent classification task).

IEEE Signal Processing Letters

Recent years have witnessed remarkable success of Graph Fourier Transform (GFT) in point cloud attribute compression. Existing researches mainly utilize geometry distance to define graph structure for coding attribute (e.g., color), which may distribute high weights to the edges connecting points across texture boundaries. 

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Multimedia Forensics


Careers in Signal Processing             

 


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