Associated SPS Event: IEEE ICASSP 2021 Grand Challenge
In today’s digital age, network security is critical as billions of computers around the world are connected with each other over networks. Symantec’s Internet Security Threat Report indicates a 56% increase in the number of network attacks in 2019. Network anomaly detection (NAD) is an attempt to detect anomalous network traffic by observing traffic data over time to define what is “normal” traffic and pick out potentially anomalous behavior that differs in some way.
Associated SPS Event: IEEE ICASSP 2021 Grand Challenge
Text-to-speech (TTS) or speech synthesis has witnessed significant performance improvement with the help of deep learning. The latest advances in end-to-end text-to-speech paradigm and neural vocoder have enabled us to produce very realistic and natural-sounding synthetic speech reaching almost human-parity performance. But this amazing ability is still limited to the ideal scenarios with a large single-speaker less-expressive training set.
What Your Job Will Be Like
We are seeking a driven and results oriented Electrical Engineer to support existing research efforts to test geophysical instrumentation and perform signal analysis of seismic data. All research is team oriented and directed at increasing national and international monitoring capabilities for underground nuclear explosions. Opportunities exist to conduct research on improving methods for signal analysis of unique seismic datasets and interpret the results and communicate findings through presentations and publications.
November 16-19, 2021
Location: Virtual Conference
December 14-17, 2021
Location: Tokyo, Japan
October 18-22, 2021
Location: Virtual Conference
September 13-15, 2021
Location: Zagreb, Croatia
Filtering is the fundamental operation upon which the field of signal processing is built. Loosely speaking, filtering is a mapping between signals, typically used to extract useful information (output signal) from data (input signal). Arguably, the most popular type of filter is the linear and shift-invariant (i.e. independent of the starting point of the signal) filter, which can be computed efficiently by leveraging the convolution operation.
We seek a post-doctoral fellow (PDF) to research machine learning (ML) modeling of cirrhosis disease event and risk evolution. The research will use a large healthcare dataset drawn from ICES’s data repositories (www.ices.on.ca). The PDF will work with Dr. Geoffrey Chan
https://www.ece.queensu.ca/people/W-Y-G-Chan/index.html
and Dr. Jennifer Flemming
@ieeeSPS
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