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The Latest News, Articles, and Events in Signal Processing

We study the dual problem of image super-resolution (SR), which we term image compact-resolution (CR). Opposite to image SR that hallucinates a visually plausible high-resolution image given a low-resolution input, image CR provides a low-resolution version of a high-resolution image, such that the low-resolution version is both visually pleasing and as informative as possible compared to the high-resolution image. 

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

The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.

Recognized worldwide as one of the leading experts in artificial intelligence, Yoshua Bengio is most known for his pioneering work in deep learning, earning him the 2018 A.M. Turing Award, “the Nobel Prize of Computing,” with Geoffrey Hinton and Yann LeCun. He is a Full Professor at Université de Montréal, and the Founder and Scientific Director of Mila - Quebec AI Institute. 

The IEEE Signal Processing Society (SPS) invites nominations for the position of Editor-in-Chief for the following journal: Open Journal of Signal Processing for a 3-year term starting 1 January 2022. Nominations must be received no later than 1 October 2021. Full details can be found on the web. 

IEEE Brain was formed in 2015 to create a technical community to facilitate cross-disciplinary collaboration and coordination to advance research, standardization, and development of engineering and technology to improve our understanding of the brain to treat diseases and to improve human condition. As an IEEE-wide effort, IEEE Brain unites engineering and computing expertise across IEEE Societies and Councils relevant to neuroscience, and provides an avenue for IEEE to work with multiple constituencies in academia, industry and government ...

The IEEE annual election begins on 16 August and ends on 1 October. All ballots must be received by 12:00 p.m. EDT USA/16:00 UTC. The IEEE Signal Processing Society is committed to ensuring that its members are prepared with sufficient information about the candidates in order to make their best informed decision. 

Selin Aviyente received her B.S. degree with high honors in Electrical and Electronics engineering from Bogazici University, Istanbul in 1997. She received her M.S. and Ph.D. degrees, both in Electrical Engineering: Systems, from the University of Michigan, Ann Arbor, in 1999 and 2002, respectively. She joined the Department of Electrical and Computer Engineering at Michigan State University in 2002, where she is currently a Professor and Associate Chair for Undergraduate Studies. 

FAPESP

This position focuses on detecting and forecasting floods using images and thus automating flood identification without human intervention. With such an approach, it will be possible to use only the cameras without a river height sensor submerged in the river. Applicants must have completed, or are nearing completion, a doctorate in Computer Science or related subjects in the past five years. 

Accurate channel estimation is a major challenge in the next generation of wireless communication networks. To fully exploit setups with many antennas, estimation errors must be kept small. This can be achieved by exploiting the structure inherent in the channel vectors. For example, line-of-sight paths result in highly correlated channel coefficients.

Weizmann Institute of Science

Joint postdoc position between Princeton University and the Weizmann Institute at the intersection of communications, signal processing and machine learning. The work will be performed with the groups of Prof. Andrea Goldsmith and Prof. Yonina Eldar. The candidate is expected to work with both teams in collaborative and supportive environments, with the location flexible between the two centers.

Lecture Date: August 12, 2021 -- Virtual Lecture
Chapter: Singapore
Chapter Chair: Ngai-Man Cheung
Topic: Random Walk on a Tree for Stochastic Optimization and Learning

 

University of Surrey

The AI for Sound project (https://ai4s.surrey.ac.uk/) in the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey is offering the following PhD studentships in AI for Sound, available from 1 October 2021: (1) Automatic sound labelling for broadcast audio (2) Information theoretic learning for sound analysis (UK applicants) Application Deadline: 1 August 2021 CVSSP also has a number of ongoing PhD studentship opportunities

Weizmann Institute of Science

Joint postdoc position between the Broad Institute and the Weizmann Institute at the intersection of signal processing, machine learning, and healthcare. The work will be performed with the groups of Prof. Yonina Eldar and Dr. Anthony Philippakis at the Biomedical Engineering Center at Weizmann and the Eric and Wendy Schmidt Center at the Broad. The candidate is expected to work with both teams in collaborative and supportive environments, with the location flexible between the two centers.

August 2-6, 2021
Location: Virtual Conference
Registration Deadline: August 1, 2021 till 5PM local time
Registration Link

Lecture Date: August 10, 2021 -- Virtual Lecture
Chapter: Hyderabad Chapter
Chapter Chair: Abhinav Kumar
Topic: Random Walk on a Tree for Stochastic Optimization and Learning

 

Universität Hamburg

The Signal Processing (SP) research group at the Universität Hamburg in Germany is hiring a Postdoc (E13/E14) "Machine Learning for Speech and Audio Processing".

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