Recent advances in multimodal processing have led to promising solutions for speech-processing tasks. One example is automatic speech recognition (ASR), which is a key component in current speech-based systems.
We are advertising for a two-year Post-Doc position at King’s College London to work with Prof. Osvaldo Simeone and Prof. Bipin Rajendran on AI and neuromorphic computing with applications to wireless communication systems.
Deep learning-based methods have achieved remarkable success in image restoration and enhancement, but are they still competitive when there is a lack of paired training data? As one such example, this work explores the low-light image enhancement problem, where in practice it is extremely challenging to simultaneously take a low-light and a normal-light photo of the same visual scene.
With the nomination by the CI TC Awards Subcommittee, Dr. Linda Moore was selected to be a 2023 IEEE SPS Distinguished Industry Speaker. Well-deserved and congratulations!
Lecture Topics
The IEEE Signal Processing Society (SPS) announces the 2023 Class of Distinguished Lecturers and Distinguished Industry Speakers for the term of 1 January 2023 to 31 December 2024. The IEEE SPS Distinguished Lecturer (DL) Program provides a means for Chapters to have access to well-known educators and authors in the fields of signal processing to lecture at Chapter meetings.
• Yuejie Chi (TC member) was elevated to IEEE fellow for contributions to statistical signal processing with low-dimensional structures.
• Brendt Wohlberg, (TC advisory member) was elevated to IEEE fellow for contributions to computational imaging and sparse representations.
Well-deserved and congratulations!