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Visualizing information inside objects is an everlasting need to bridge the world from physics, chemistry, and biology to computation. Among all tomographic techniques, terahertz (THz) computational imaging has demonstrated its unique sensing features to digitalize multidimensional object information in a nondestructive, nonionizing, and noninvasive way.
Electromagnetic (EM) imaging is widely applied in sensing for security, biomedicine, geophysics, and various industries. It is an ill-posed inverse problem whose solution is usually computationally expensive. Machine learning (ML) techniques and especially deep learning (DL) show potential in fast and accurate imaging. However, the high performance of purely data-driven approaches relies on constructing a training set that is statistically consistent with practical scenarios, which is often not possible in EM-imaging tasks. Consequently, generalizability becomes a major concern.
Thanks to the tremendous interest from the research community, the focus of the March issue of the IEEE Signal Processing Magazine is on the second volume of the special issue on physics-driven machine learning for computational imaging, which brings together nine articles of the 19 accepted papers from the original 47 submissions.
As I am writing this article, I am wrapping up a trip as IEEE Signal Processing Society (SPS) president to Doha, Qatar (9–11 January), to speak at the 2022 IEEE Spoken Language Technology (SLT) Workshop, and India (12–16 January), for technical talks and meetings with local signal processing researchers and SPS local Chapter chairs.
The LivePerson Centre for Speech and Language offers a 3 year fully funded PhD studentship
covering standard maintenance, fees and travel support, to work on deep neural network adaptive
learning modules for speech and language. The Centre is connected with the Speech and Hearing
(SpandH) and the Natural Language Processing (NLP) research groups at the Department of
Computer Science at the University of Sheffield.
Date: 27-30 May 2024
Location: Athens, Greece
Joint postdoc position between Princeton University and the Weizmann Institute at the intersection of signal processing, communications, and biomedical applications. The work will be performed with the groups of Profs. Andrea Goldsmith and Yonina Eldar. Background in one or more of the above areas required with the desire to expand into the other areas. The candidate is expected to spend time in both locations, working with collaborative and supportive teams.
The research group, Communication Systems and Networks (CSN), has one open postdoc position and we are now looking for a talented postdoctoral researcher in the area of experimental research for time-critical remote-controlled applications in 5G-and-Beyond to join our team and help us fulfil the project's goals, producing quality research and collaborate with external project partners in Swedish ICT industry.
Manuscript Due: 15 June 2024
Date: 18-19 September 2023
Location: Rome, Italy
11-13 June 2023
Location: Island of Rhodes, Greece
Submission Deadline: 10 June 2023
Call for Proposals Document