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The Latest News, Articles, and Events in Signal Processing
Date: 11 November 2024
Chapter: Croatia Chapter
Chapter Chair: Tomislav Petkovic
Title: Deep Generative AI
Date: 6 August 2024
Time: 1:00 PM ET (New York Time)
Presenter(s): Dr. Shinji Watanabe, Dr. Abdelrahman Mohamed
Dr. Karen Livescu, Dr. Hung-yi Lee, Dr. Tara Sainath,
Dr. Katrin Kirchhoff & Dr. Shang-Wen Li
Manuscript Due: 9 February 2025
Publication Date: September 2025
Midia Yousefi is a distinguished Senior Research Scientist within the Cloud and AI division at Microsoft, where she is actively engaged in a spectrum of research initiatives pertaining to audio and speech technologies.
The IEEE Signal Processing Society (SPS) invites nominations for the positions of: Director-Student Services, Director-Membership Development, and Seasonal Schools Subcommittee Chair. The term for all positions is three years (1 January 2025-31 December 2027).
The IEEE Signal Processing Society (SPS) invites nominations for the position of Awards Board Chair. The term for the Awards Board Chair will be three years (1 January 2025-31 December 2027).
The IEEE Signal Processing Society Chapter of the Year Award will be presented for the 14th time in 2025!
The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 100 of its members to the grade of IEEE Senior Member. These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest.
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 Signal Processing Society (SPS) conducts webinars presented by professionals in the field of signal processing and related technologies on an ongoing basis. Webinars are also hosted periodically by SPS Technical Committees, and other network of communities. Visit the Upcoming Events page to see a list of our upcoming webinars and join us! Visit the SPS BLOG for more related content on a regular basis!
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.
Date: 3 July 2024
Time: 10:00 AM ET (New York Time)
Speaker(s): Prof. (Kit) Kai-Kit Wong
White Paper Due: 1 November 2024
Publication: November 2025
Date: 2 July 2024
Chapter: Slovenia Chapter
Chapter Chair: Andrej Trost
Title: Biasness & Fairness, Worth Considering in AI
Date: 10 July 2024
Time: 10:00 AM ET (New York Time)
Speaker(s): Prof. A. Chockalingam
Motion artifact reduction is one of the important research topics in MR imaging, as the motion artifact degrades image quality and makes diagnosis difficult. Recently, many deep learning approaches have been studied for motion artifact reduction. Unfortunately, most existing models are trained in a supervised manner, requiring paired motion-corrupted and motion-free images, or are based on a strict motion-corruption model, which limits their use for real-world situations.
Accurately imaging bones using ultrasound has been a long-standing challenge, primarily due to the high attenuation, significant acoustic impedance contrast at cortical boundaries, and the unknown distribution of sound velocity. Furthermore, two-dimensional (2-D) ultrasound bone imaging has limitations in diagnosing osteoporosis from a morphological perspective, as it lacks stereoscopic spatial information.
The Signal Processing Research Centre of Tampere University is looking for a tenure track-professor (assistant/associate/full) to join its team of world-class experts. Please see the full description and apply here.
Date: 17 July 2024
Chapter: Kansai Chapter
Chapter Chair: Satoshi Nakamura
Title: Interpretable Convolutional NNs and Graph CNNs: Role of Domain Knowledge
Date: 16 July 2024
Chapter: Sendai Chapter
Chapter Chair: Yukio Iwaya
Title: Machine Intelligence for eHealth: Hearables for 24/7 Doctorless Hospitals?
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