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The Latest News, Articles, and Events in Signal Processing
Big data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Big Data is an emerging paradigm encompassing various kinds of complex and large scale information beyond the processing capability of conventional software and databases. Various technologies are being discussed
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. Visit the SPS Job Submission Form.
The IEEE Signal Processing Society continues to track emerging technical areas. As a result, the Society has decided to create two new SPS Technical Interest Profile (TIP) Code categories in the fields of Data Science and Autonomous Systems to keep pace with the expanding technical disciplines.
The Signal Processing Society (SPS) has 12 Technical Committees and 3 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.
IEEE SPS Distinguished Lecturer, Dr. Wing-Kin (Ken) Ma, gave a talk on “Hyperspectral Unmixing in Remote Sensing: Insights and Beyond.” The lecture, which included Machine Learning, was held on 14 June 2018 for the SPS German Chapter at Technischen Universität Darmstadt. The talk was hosted and moderated by Marius Pesavento and Gerald Enzner.
For our August 2018 issue, we cover recent patents granted in the area of Lidar based scene analysis. Patent no. 10,031,231 presents an object-detection system suitable for an automated vehicle which includes a lidar and a controller. The lidar is used to detect a point-cloud that is organized into a plurality of scan-lines.
Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.
Your vote is important! On 15 August, the election of Regional Directors-at-Large for Regions 1-6 and 8 (the term is 1 January 2019 through 31 December 2020) and Members-at-Large (term 1 January 2019 through 31 December 2021) of the IEEE Signal Processing Society (SPS) Board of Governors (BoG) will be open.
December 6-8, 2018
Location: Louisville, KY, USA
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When deciding on a career path, you’re likely to have different considerations in mind. You want to have a skillset for which there is a wide demand in growing industries. You also need to be certain your expertise will remain relevant in the technologically uncertain years to come, when AI and automation will change many of our jobs as we know it.
Manuscript Due: February 15, 2019
Publication Date: September 2019
CFP Document
Manuscript Due: October 1, 2018
Publication Date: May 2019
CFP Document
Development of new optical transmission methods based on nonlinear Fourier transform.
Will there be a cure for cancer in our lifetime? Opinions surrounding this question vary, but many people are inclined to think there will be. The unfortunate reality is all types of cancer are fatal if left untreated.
The IEEE Board of Directors has approved the 2019 IEEE Technical Field Awards. The complete list of recipients and their citations is online at www.ieee.org/awards. Please feel free to send your notes of congratulations and to publicize the recipients within your IEEE and professional affiliations.
Job Description
A Career at HARMAN
Stanford University announces a postdoctoral fellowship, with initial term of October 1, 2018 to September 30, 2019 with the potential for renewal.
The postdoc would join our project on using NLP, dialogue, and speech processing to improve police-community relations by processing and studying the language from police body-worn cameras.
PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES
The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), is looking for highly motivated students to work on:
- Improving performance and biocompatibility of electrode arrays for brain-computer interfaces
- Functional investigation of innovative neural interfaces
To work on advanced methods for automatic speech recognition with the aim towards building transferable multiple domain end to end recognition systems that are adaptive and can learn over long periods of time.
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