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The Latest News, Articles, and Events in Signal Processing
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 cascaded deep learning structures to model speech. The Centre is connected with the Speech and Hearing (SpandH) and the Natural Language Processing (NLP) research groups in the Department of Computer Science at the University of Sheffield.
About the job
The Department of Electronic Systems (IES) has a vacancy for a Postdoctoral Researcher in statistical machine learning and distributed signal processing with applications in IoT. The successful candidate will be offered a three-year (3 years) appointment.
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.
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.
Date: 12 April 2023
Time: 9:30 AM ET (New York Time)
Presenter(s): Dr. Pan Gao, Dr. Alijosa Smolic
Date: 13 March 2023
Time: 1:30 PM ET (New York Time)
Presenter(s): Dr. Donald Williamson
Date: 29 March 2023
Time: 12:30 PM ET (New York Time)
Presenter(s): Dr. Mauricio Delbracio
Date: 26 April 2023
Time: 11:00 AM ET (New York Time)
Presenter(s): Dr. Preeti Kumari, Dr. Nitin Jonathan Myers, Dr. Robert W. Heath, Jr.
Date: 30 March 2023
Time: 8:00 AM PST | 5:00 PM (CEST)
Presenter(s): Arash Ajoudani
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!
Date: 8 March 2023
Time: 7:00 PM ET (New York Time)
Title: Power Scaling of Uplink Massive MIMO Systems with Arbitrary-Rank Channel Means
Date: 10 March 2023
Chapter: Gujarat
Chapter Chair: Chirag Paunwala
Title: Wearable Sensor Signal Processing and Data Analytics for Health Applications
A computational experiment is deemed reproducible if the same data and methods are available to replicate quantitative results by any independent researcher, anywhere and at any time, granted that they have the required computing power. Such computational reproducibility is a growing challenge that has been extensively studied among computational researchers as well as within the signal processing and machine learning research community.
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
Dr. Mariane R. Petraglia graduated (Magna Cum Laude) in Electrical Engineering with emphasis in Electronics from the Federal University of Rio de Janeiro (UFRJ) in 1985. She obtained the M.Sc. and Ph.D. degrees in Electrical Engineering from the University of California, Santa Barbara, in 1988 and 1991, respectively.
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