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The Latest News, Articles, and Events in Signal Processing
The aim of this postdoc project is to develop a novel ultrasound methodology that enables non-invasive read-out of the acoustic properties of radiation-sensitive microbubbles in order to construct a dose map. Hereto, acoustic models of wave propagation through soft tissue will be combined with advanced signal processing techniques. The developed methodology will extensively be validated in experimental setups (both in-vitro and in-vivo).
UKRI Centre for Doctoral Training (CDT) in Speech and Language Technologies (SLT) and their Applications
Department of Computer Science
Faculty of Engineering
University of Sheffield
Fully-funded 4-year PhD studentships for research in Speech and Language Technologies (SLT) and their Applications
** Apply now for September 2020 intake. Up to 13 studentships available **
Well, we're at the end of 2019. Most likely, this was like any other year for most of us. We had some successes and some failures, but overall, it's not a bad year. We're all getting ready for holidays, with our goals for 2020 slowly brewing in the back of our minds.
Due to overwhelming interest in Member Driven Initiative funding, the IEEE Signal Processing Society has changed its process for submitting proposals through the program. This includes proposals for Forums, Regional Meetings, and Chapter Driven Initiatives.
Did you know the Society offers funding under the Member Driven Initiatives program for events that encourage involvement by SPS membership, including local chapters, universities, industry members as well as individual members?
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 Signal Processing Society (SPS) has 13 Technical Committees and 2 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.
The Signal Processing Society (SPS) has 13 Technical Committees and 2 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.
Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.
Call for Papers is now open for the 27th IEEE International Conference on Image Processing (ICIP 2020)! ICIP is the world’s largest and most comprehensive technical conference focused on image and video processing and computer vision.
The Signal Processing Society is pleased to announce the 5-Minute Video Clip Contest (5-MICC) at ICASSP 2020 in Barcelona (May 4-8). The topic chosen this year is Beamforming and the submitted video can cover any aspects of beamforming related areas.
Dr. Jian Li received the M.Sc. and Ph.D. degrees in electrical engineering from Ohio State University, Columbus, in 1987 and 1991, respectively. She is currently a Professor in the Department of Electrical and Computer Engineering, University of Florida, Gainesville. She is also affiliated with the Department of Electronic Engineering and Information Sciences, University of Science and Technology of China, Hefei.
Submission Deadline: January 24, 2020
Call for Proposals Document
Submission Deadline: February 29, 2020
Call for Proposals Document
The Lifelong Learning Machines (L2M) program, a recent program from the Defense Advanced Research Agency or DARPA is funding the development of new machine learning systems that can learn continuously, adjust to new changes and apply previous knowledge to new situations.
April 24-26, 2020
Location: Changed to--Virtual Conference
August 31 - September 3, 2020
NOTE: IWAENC 2020 has been postponed to 2021
October 20-22, 2020
NOTE: Location changed to--Virtual Conference
The goal of the project is to design an architecture and self-learning algorithms that can optimize and guarantee deterministic QoS of individual traffic flows whilst maximizing network resource efficiency. The general QoS architecture for end-to-end communication of heterogeneous types of traffic will include routing and scheduling for each traffic type and admission control possibly with QoS renegotiations and with shaping and spacing.
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