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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.
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 (
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.
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.
White Paper Due: January 10, 2018
Publication Date: January 2019
CFP Document
The internship program at Mitsubishi Electric Research Laboratories (MERL) gives students excellent opportunities to work in an industrial research lab environment side-by-side with world-class researchers. This program emphasizes close collaboration with a particular researcher or members of a small team. MERL considers graduate students from all over the world. As many of our projects benefit from specialized knowledge in a given field, graduate students pursuing a Ph.D.
Lecture Date: November 17, 2017
Chapter: France
Chapter Chair: William Puech
Topic: Data Fusion through Matrix and Tensor Decompositions:
Diversity, Identifiability, and Interpretability