This dissertation develops Defense through AI-powered SYstem-scientific methods (DAISY) for high-confidence Cyber-Physical Systems (CPSs). We start by designating five generations of Security Paradigms (SPs) that have evolved since the birth of the Internet.
Submission Deadline: 1 February 2023
Call for Proposals Document
August 5-6, 2022
Location: Hybrid
Date: June 24, 2022
Time: 12:00 PM ET (New York Time)
Title: Fairness-aware Learning Over Networks
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Date: May 19, 2022
Time: 10:00 AM ET (New York Time)
Title: Scalable Algorithms for Distributed Principal Component Analysis
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The Principal Component Analysis (PCA) is considered to be a quintessential data preprocessing tool in many machine learning applications. But the high dimensionality and massive scale of data in several of these applications means the traditional centralized PCA solutions are fast becoming irrelevant for them.
The Principal Component Analysis (PCA) is considered to be a quintessential data preprocessing tool in many machine learning applications. But the high dimensionality and massive scale of data in several of these applications means the traditional centralized PCA solutions are fast becoming irrelevant for them.
Positions: The Gordon Center for Medical Imaging (GCMI) in the Department of Radiology at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) has multiple openings for highly qualified individuals at the postdoctoral level to work with Prof. Kuang Gong on NIH funded projects related to PET image reconstruction, medical image analysis, and machine learning methodologies.
Recent years have seen great strides being made in R&D of speech and language technologies. As these technologies continue to permeate our daily lives, they need to support diverse users and usage contexts, especially those with inputs that deviate from the mainstream.
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