<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dr. Hua Li | NJU AeroSafe Lab</title><link>https://nju-aerosafe-lab.github.io/author/dr.-hua-li/</link><atom:link href="https://nju-aerosafe-lab.github.io/author/dr.-hua-li/index.xml" rel="self" type="application/rss+xml"/><description>Dr. Hua Li</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://nju-aerosafe-lab.github.io/author/dr.-hua-li/avatar_hu_13211cf09a98f303.jpg</url><title>Dr. Hua Li</title><link>https://nju-aerosafe-lab.github.io/author/dr.-hua-li/</link></image><item><title>Dr. Hua Li</title><link>https://nju-aerosafe-lab.github.io/author/dr.-hua-li/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://nju-aerosafe-lab.github.io/author/dr.-hua-li/</guid><description>&lt;p&gt;Hua Li is a research scientist focusing on artificial intelligence applications in aviation safety. His research interests include deep learning for fault diagnosis, time series analysis, and machine learning algorithms for aviation data mining.&lt;/p&gt;
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