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The Latest News, Articles, and Events in Signal Processing
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.
To address rapidly growing interest in artificial intelligence (AI) and machine learning (ML) for signal processing and data science, the IEEE Signal Processing Society (SPS) is launching a new special series on AI in Signal & Data Science, to be published within the IEEE Journal on Selected Topic in Signal Processing (JSTSP).
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.
The IEEE Signal Processing Society is seeking nominations for future leaders! Nominations for several SPS leadership roles are open now, and we are now soliciting for the following roles with terms beginning 1 January 2024.
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.
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.
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- THIS WEEK: Join NASA’s Dr. Jacqueline Le Moigne as she shares her journey through academia, the private sector, and pivotal roles at NASA, emphasizing her work in signal processing, computer vision, and related technologies. Register now! https://x.com/IEEEsps/status/1785057479606288505
- Join NASA’s Dr. Jacqueline Le Moigne for this interactive webinar as she shares her journey through the realms of signal processing, computer vision, and related technologies, including her pivotal roles at NASA. https://x.com/IEEEsps/status/1782468413551423536
- Great crowd at the Student Job Fair at #ICASSP2024! Thank you to our sponsors for furnishing an exciting, engaging event! https://x.com/IEEEsps/status/1780817453569687559
- Thank you to our Women in Signal Processing Luncheon panelists for their wisdom and insights during today’s event at #ICASSP2024! https://x.com/IEEEsps/status/1780458637338530252
- Free Machine Learning (ML) Lecture Series from IEEE SPS From basics to recent advances, unlock the secrets of ML with Prof. Sergios Theodoridis! https://x.com/IEEEsps/status/1779931297093222415
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