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SPS Webinar

25 Feb

SPS Webinar: Wenting Shen and Jiankun Hu

Date: February 25, 2020
Time: 8:00 AM ET (New York Time)
Title: Enabling Identity-Based Integrity Auditing and Data Sharing With
Sensitive Information Hiding for Secure Cloud Storage
Registration | Full webinar details

20 Apr

SPS Webinar: Dr. Michael Bronstein

Date: April 20, 2020
Time: 9:00 AM ET (New York Time)
Title: Deep Learning on Graphs and Manifolds: Going Beyond Euclidean Data
Registration | Full webinar details

28 May

SPS Webinar: Dr. Florian Meyer

Date: May 28, 2020
Time: 2:00 PM ET (New York Time)
Title: Distributed Localization and Tracking of Mobile Networks
Registration | Full webinar details

17 May

SPS Webinar: Dr. Yuejie Chi

Date: May 17, 2022
Time: 10:30 AM ET (New York Time)
Title: Nonconvex Optimization Meets Low-Rank Matrix Factorization
Registration | Full webinar details

Future networks must provide services to a range of applications and devices with competing and perhaps conflicting requirements while simultaneously allowing flexible deployment. Software Defined Networks (SDN) have a critical role to play in securing such networks against sophisticated security attacks, with its ability to manage dynamically security policies for monitoring and controlling traffic and enforcing them via virtualized network functions. 

A new era of pervasive data generation is enabled by emerging sensing modalities and will pose new challenges to signal processing, data science, and robotics. For example, underwater robotic technology enables the development of advanced networks for underwater localization and mapping, and emerging aerial robotic technology enables the development of advanced networks for wide area localization and mapping. 

In the past decade, deep learning methods have achieved unprecedented performance on a broad range of problems in various fields from computer vision to speech recognition. So far research has mainly focused on developing deep learning methods for Euclidean-structured data.

With cloud storage services, users can remotely store their data to the cloud and realize the data sharing with others. Remote data integrity auditing is proposed to guarantee the integrity of the data stored in the cloud. In some common cloud storage systems, such as the electronic health records system, the cloud file might contain some sensitive information that should not be exposed to others when the cloud file is shared.

In this webinar, we'll introduce FemtoPixel: A framework for lensless imaging with compressive ultrafast sensing. The FemtoPixel framework provides single-pixel imaging capabilities that are up to 50X faster compared to traditional single-pixel camera techniques. 

This webinar, Toward Efficient and Flexible CNN-based Denoising in Photography,begins with the design of denoising CNN (DnCNN) model by incorporating residual learning and batch normalization. 

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