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Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

Researchers in an almost endless number of fields are embracing artificial intelligence (AI) and machine learning (ML) to develop tools and systems that can predict and adapt to a wide range of changing situations, optimize system performance, and intelligently filter signals. In areas as diverse as firefighter protection, solar power optimization, and exoplanet discovery, researchers are turning to AI, ML, and signal processing to help them achieve breakthroughs that were unimaginable only a few years ago.

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

Given the increasing prevalence of facial analysis technology, the problem of bias in the tools is now becoming an even greater source of concern. Several studies have highlighted the pervasiveness of such discrimination, and many have sought to address the problem by proposing solutions to mitigate it. Despite this effort, to date, understanding, investigating, and mitigating bias for facial affect analysis remain an understudied problem.

Section: Publications & Resources

This year, all eligible IEEE Signal Processing Society Members were able to cast their vote for the next IEEE Signal Processing Society President-Elect. The President-Elect will sit on the IEEE Signal Processing Society Board of Governors beginning 1 January 2022 and will serve until 31 December 2023, when they will be elevated to Society President.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

The papers in this special section focuses on signal processing advances in wireless transmission of power and information. Wireless power transfer (WPT) and wireless information and power transfer (WIPT) have received growing attention in the research community in the past few years. In this special issue, a total of fourteen papers present state-of-the-art results in the broad area of wireless transmission of information and power with a special emphasis on signal processing advances.

Advisor: S.S.V. Ramesh Botcha Email: rameshbssv@gmail.com Chair: Srikar Somanchi Email: ssrikar2001@gmail.com

Advisor: Allabaksh Shaik Email: baksh4021@gmail.com Chair: Guntur Renu Email: grenu807@gmail.com  

Advisor: Sk. Hasibul Alam Email: sk.hasibul.alam@gmail.com Chair: Md. Tahsinur Rahman Sarker Email: tahsinur34@gmail.com

Section: Events

Submission Deadline: September 27, 2021

Research Fellow in Machine Learning for Sound Location: University of Surrey, Guildford, UK Closing Date: Wednesday 16 June 2021 (23:00 GMT) Applications are invited for a 3-year Research Fellow in Machine Learning for Sound, to work full-time on an EPSRC-funded Fellowship project "AI for Sound" (https://ai4s.surrey.ac.uk/), to start on 1 July 2021 or as soon as possible thereafter. We would particularly like to encourage applications from women, disabled and Black, Asian & Minority Ethnic candidates, since these groups are currently underrepresented in our area.

Section: Events

Submission Deadline: July 31, 2021 Call for Proposals Document