IEEE TMM Special Issue on Trustworthiness in Social Multimedia Analytics and Delivery
Manuscript Due: July 21, 2018
Publication Date: March 2019
CFP Document
Webinar Details: November 28, 2017 from 11 pm to 12 am (EST) or November 29, 2017 from 11 am to 12 pm (JST)
Attendee Registration Link: Register for Webinar, by Dr. Akihiko (Ken) Sugiyama
The IEEE Signal Processing Society is very excited to offer the next webinar in our new series featuring “technical and technological innovations and their applications in signal processing” from top researchers and thought leaders in academia and industry.
Manuscript Due: July 21, 2018
Publication Date: March 2019
CFP Document
Lecture Date: December 6, 2017
Chapter: South Brazil (South Region)
Chapter Chair: Jacob Scharcanski
Topic: Emerging JPEG standards for VR and AR applications
Lecture Date: December 4 & 5, 2017
Chapter: South Brazil
Chapter Chair: Vanessa Testoni
Topic: Emerging JPEG standards for VR and AR applications
A 4-year PhD position is available within a collaborative project between ESAT-STADIUS, Dept. Electrical Engineering and ExpORL, Dept. Neurosciences, KU Leuven, Belgium. The goal is to develop a neuro-steered hearing aid that will adapt its function according to brain responses measured using EEG. This position entails joint signal processing of EEG and audio signals.We are looking for someone with strong mathematical skills and some experience in algorithm design for multi-channel (array) signal processing (for EEG and/or audio).
Several post-doctoral fellow or PhD graduate research assistant positions are available immediately to work on the development of machine learning, image processing, statistical and signal processing approaches for the analysis and integration of genomic and medical imaging data. More information about our research work at Multiscale Bioimaging and Bioinformatics Laboratory of Tulane Biomedical Engineering Department can be found at our website (http://www.tulane.edu/~wyp/). The position will be funded by both NIH and NSF.
Manual operation of hearing assistive devices is cumbersome in various situations. With advances in machine learning and speech technology, voice interfaces due to their convenience will be widely deployed for hearing assistive devices and they can be personalized and offer richer functionalities. Hearing assistive devices are characterized by strict memory and computational complexity constraints and the fact that they are expected to operate flawlessly, even in acoustically challenging situations.
International Audio Laboratories Erlangen is jointly operated by the Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg and the Institute for Integrated Circuits at the Fraunhofer-Gesellschaft. It conducts both fundamental and applied research on novel audio technology. This involves a close and long-term collaboration between both institutions stipulated by contract. Eventually, more than 50 scientists will work in this internationally unique research facility.
The Faculty of Engineering and the Fraunhofer-Gesellschaft invite applications for a
SPS Announces 2018 Class of Distinguished Lecturers, the Signal Processing Data Science Distinguished Lecturer and the New Distinguished Industry Speaker Program.
White Paper Due: January 10, 2018
Publication Date: January 2019
CFP Document