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Section: Events
Date: October 12, 2022 (12pm-1pm EDT) -- Virtual lecture
Chapter: North Jersey Chapter
Chapter Chair: Alfredo Tan
Title: MR Image Reconstruction as a Computational Imaging Problem:
From Model-Based Reconstruction and Sparsity to Machine Learning
Section: Publications & Resources
Listening in noisy reverberant environments can be challenging. The recent emergence of hearable devices, such as smart headphones, smart glasses and virtual/augmented reality headsets, presents an opportunity for a new class of speech and acoustic signal processing algorithms which use multimodal sensor data to compensate for, or even exploit, changes in head orientation.
Section: Publications & Resources
In the beginning of 2020, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in over 200 countries, affecting billions of humans. Identifying and separating the infected people during the early stage is the most important step in controlling the pandemic.
Section: Events
Date: August 26, 2022
Time: 8:00 AM ET (New York Time)
Title: Towards Designing an Explainable COVID-19 Diagnosis System
Registration | Full webinar details
Section: Events
Entrepreneurship Forum Series
Section: Events
May 22, 2022
Location: Singapore
Section: Publications & Resources
Recently, deep convolutional neural network (CNNs) have been widely used in Single Image Super-Resolution (SISR) and have obtained great success. However, most of the existing methods are limited to local receptive field and equal treatment of different types of information;
Section: Events
Date: August 24, 2022
Time: 7:30 AM ET (New York Time)
Title: Attention Mechanisms for Image Super-Resolution: A Brief Review and Beyond
Registration | Full webinar details
Section: Publications & Resources
IEEE Fellow is the highest grade of membership of the IEEE. It honors members with an outstanding record of technical achievements, contributing importantly to the advancement or application of engineering, science and technology, and bringing significant value to society.
Postdoc in Signal Processing and Machine Learning for cyber security of sensor equipped connected vehicle networks
Outstanding candidate will pursue important new research results and document them in the top journals and conferences.
If interested, please send a vita along with your publications and three references. Theoretical research which is mathematically and statistics based is especially appreciated, but applicants should also have the ability to implement/test machine learning and signal processing algorithms.
