<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sruti | Hinton Research Lab</title><link>https://hintonresearchlab.github.io/author/sruti/</link><atom:link href="https://hintonresearchlab.github.io/author/sruti/index.xml" rel="self" type="application/rss+xml"/><description>Sruti</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en</language><image><url>https://hintonresearchlab.github.io/media/icon_hu8470579392039774497.png</url><title>Sruti</title><link>https://hintonresearchlab.github.io/author/sruti/</link></image><item><title>Dr. Sruti Sruba Bharali</title><link>https://hintonresearchlab.github.io/author/dr.-sruti-sruba-bharali/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://hintonresearchlab.github.io/author/dr.-sruti-sruba-bharali/</guid><description>&lt;p>Dr. Sruti Sruba Bharali is serving as an Assistant Professor in the Discipline of Computer Science at Krishna Kanta Handiqui State Open University (KKHSOU), Guwahati, Assam since January 2015. She completed her PhD from Gauhati University in 2020 with the thesis titled &lt;em>“Speech Recognition and Speaker Identification with reference to Assamese Language”&lt;/em>. She qualified UGC-NET in Computer Science and Applications in 2013.&lt;/p>
&lt;p>Her research specialization includes Speech Processing, Speech Recognition, Speaker Identification, Image Processing, and Distance Education. She has several international journal and conference publications in these domains and has actively contributed to MOOC development under the SWAYAM platform.&lt;/p>
&lt;p>She has teaching experience of more than 12 years and has taught subjects including Data Structures, Operating Systems, Algorithms, Database Management Systems, Web Technology, Software Engineering, and Linux System Administration.&lt;/p>
&lt;p>Currently, she is also serving as the Assistant Director of the Centre for Online Education at KKHSOU.&lt;/p></description></item></channel></rss>