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Domain > robertlayton.info
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DNS Resolutions
Date
IP Address
2020-03-29
13.225.198.127
(
ClassC
)
2020-03-29
13.225.198.54
(
ClassC
)
2020-11-01
65.8.246.127
(
ClassC
)
2024-12-01
3.163.24.101
(
ClassC
)
2026-01-05
3.169.173.42
(
ClassC
)
Port 80
HTTP/1.1 301 Moved PermanentlyServer: CloudFrontDate: Mon, 05 Jan 2026 07:01:14 GMTContent-Type: text/htmlContent-Length: 167Connection: keep-aliveLocation: https://robertlayton.info/X-Cache: Redirect from cloudfrontVia: 1.1 42eb5dfcc641e959ebaf60f01fc7d582.cloudfront.net (CloudFront)X-Amz-Cf-Pop: HIO52-P4X-Amz-Cf-Id: 2LYkSF6vBOjs4Su6WY8w8tDSwTqbaq7OvraQO6_FUR_n8d_NaGlkug html>head>title>301 Moved Permanently/title>/head>body>center>h1>301 Moved Permanently/h1>/center>hr>center>CloudFront/center>/body>/html>
Port 443
HTTP/1.1 200 OKContent-Type: text/htmlContent-Length: 12383Connection: keep-aliveDate: Mon, 05 Jan 2026 07:01:15 GMTLast-Modified: Fri, 30 May 2025 06:15:40 GMTETag: a0bfd47380436472c749961a9f8d3487x-amz-server-side-encryption: AES256Accept-Ranges: bytesServer: AmazonS3X-Cache: Miss from cloudfrontVia: 1.1 41d11417b7470cfb79cc5b299692369a.cloudfront.net (CloudFront)X-Amz-Cf-Pop: HIO52-P4X-Amz-Cf-Id: mGrE8jhhtyUJMnpliW6g_-gY_7ADJkUBqi8IetjBNKM1l5GTR4Zlqg !DOCTYPE html>html langen>head> meta charsetutf-8/> title>Dr Robert Layton - Data Scientist & Chief Research Officer/title> meta namedescription contentDr Robert Layton is Chief Research Officer at BRAIN, Data Scientist, cybersecurity expert, and author from Ballarat, Australia. PhD in cybercrime analytics, Python expert./> meta nameauthor contentDr Robert Layton/> meta namekeywords contentRobert Layton, Data Scientist, BRAIN, Ballarat, AI Research, Cybersecurity Analytics, Python, Data Mining/> meta propertyog:title contentDr Robert Layton - Data Scientist & Chief Research Officer/> meta propertyog:description contentChief Research Officer at BRAIN, investigating AIs impact on regional communities. Data Scientist, cybersecurity expert, and Python trainer./> meta propertyog:url contenthttps://robertlayton.info/> meta propertyog:type contentwebsite/> link relstylesheet hrefcss/sanitize.css?v1.0/> link relstylesheet hrefcss/simple.css?v0.1/>/head>body>header idtop> h1>Dr Robert Layton/h1> ul> li>a href#overview>About/a>/li> li>a href#contact>Contact/a>/li> li>a href#research>Research/a>/li> li>a href#hackerspace>Hackerspace/a>/li> /ul>/header>article idoverview> p> Robert Layton is a Data Scientist and Entrepreneur from Ballarat, Victoria, Australia. He is currently the Chief Research Officer at BRAIN (Ballarat Region Artificial Intelligence Network), investigating AIs impact on regional communities. He earned a PhD in cybercrime analytics from the Internet Commerce Security Laboratory, at Federation University Australia. /p> div classorganization-logos> div classlogo-grid> a hrefhttps://brain.net.au classlogo-item> img srcimages/brain-monogram-logo.svg altBRAIN> span classorg-name>BRAIN - Ballarat Region AI Network/span> span classposition>Chief Research Officer/span> /a> a hrefhttps://www.datapipeline.com.au classlogo-item> img srcimages/datapipeline-logo.png altDataPipeline> span classorg-name>DataPipeline/span> span classposition>Data Scientist & Director/span> /a> a hrefhttps://ballarathackerspace.org.au classlogo-item> img srcimages/BallaratHackerspaceL.svg altBallarat Hackerspace> span classorg-name>Ballarat Hackerspace/span> span classposition>Member/span> /a> a hrefhttps://eurekative.com.au classlogo-item> img srcimages/eurekative-logo.svg altEurekative> span classorg-name>Eurekative/span> span classposition>Startup Builder/span> /a> a hrefhttps://pythoncharmers.com classlogo-item> img srcimages/python-charmers-logo.png altPython Charmers> span classorg-name>Python Charmers/span> span classposition>Python Trainer/span> /a> a hrefhttps://www.protektgps.com classlogo-item> img srcimages/protektgps.png altProtekt GPS> span classorg-name>Protekt GPS/span> span classposition>Co-Founder/span> /a> a hrefhttps://federation.edu.au/icsl classlogo-item> img srcimages/FedUni-ICSL-Logo_lockup_RGB.png altICSL> span classorg-name>ICSL - Federation University/span> span classposition>Honorary Research Fellow/span> /a> a hrefhttps://ballarat.tech classlogo-item> !-- img srcimages/placeholder-logo.svg altBallarat Tech> --> span classorg-name>Ballarat Tech & Silicon Beach/span> span classposition>Community Organizer/span> /a> /div> /div> p> Roberts interests lie in data analytics, cybersecurity, and programming, with applications to data mining, robotics, web application programming and more. His main skills are in data mining with text data, cybersecurity analytics, software and web development with python, and programming training. His particular expertise in cybersecurity analytics combines his PhD research in cybercrime analytics with practical experience in threat detection and analysis. /p> p>Roberts main accomplishments to date include:/p> ul> li>Federation University Australias a hrefhttps://federation.edu.au/connect/alumni/success-stories/profiles/layton,-dr-robert> Inaugural Young Alumni of the Year /a> /li> li>Presented at multiple PyCon AU conferences (2014-2017), delivering highly engaging talks on data mining and Python programming /li> li>Authored two revisions of a hrefhttps://www.packtpub.com/au/big-data-and-business-intelligence/learning-data-mining-python-second-edition> Learning Data Mining with Python /a> /li> li>Supervised multiple PhD and Masters students to completion/li> li> a hrefhttps://scholar.google.com.au/citations?user7OkhvkMAAAAJ&hlen&oiao>Over 1350/a> citations on published research papers /li> /ul> p> Robert has also served on the a hrefhttps://committeeforballarat.com/news/committee-for-ballarat-consultative-panel/> Committee for Ballarat Consultative Panel /a> for the past two years, providing community perspectives and contributing to regional advocacy and capacity building initiatives. /p> p> Roberts main goals for the future are to build Ballarats startup culture and help people create their dream technology and businesses in regional areas. If you are interested in helping achieve this goal, please get in contact. /p>/article>article idcontact> h1>Contacting/h1> p>If youd like to get in contact, there are a few different ways:/p> ul> li>Email: robert@datapipeline.com.au/li> li> On Mastadon a hrefhttps://hackerspace.au/@rob>@rob@hackerspace.au/a> /li> li>On the a hrefhttps://chat.ballarat.tech/>ballarat.tech Mattermost/a> instance /li> /ul> p>Please note that Robert is not currently taking employment offers but is interested in consultancy and project work./p>/article>article idhackerspace> h1>Ballarat Hackerspace/h1> a hrefhttps://ballarathackerspace.org.au classsection-logo> img srcimages/ballarat-hackerspace-header.jpg altBallarat Hackerspace> /a> p>The Ballarat Hackerspace is a non-profit community organisation created to help introduce future technology to Ballarat. Additionally, the hackerspace provides a workshop where members can come and build their projects in a friendly, collaborative and engaging environment. Members of the Ballarat Hackerspace have created lots of great projects, bouncing ideas off each other and helping each other./p> p>The Ballarat Hackerspace is a supportive environment with a clear code of conduct and supports all people using the space. Initiatives on this front include the ability for members to bring in their kids under their membership (although the guardiant is responsible for them), and Womens Wednesdays, where women can use the space for free, forever. /p> p>The Ballarat Hackerspace has become a central nexus for technology activity in Ballarat, working with local Universities, schools, organisations, community leaders and businesses. It is funded through memberships and sponsorships, and has been running for over three years./p> a classback_to_top href#top>Back to top/a>/article>article idresearch> h1>Research/h1> p>Dr Layton has an extensive research background. As of January 2023, he has a h-index of 21 and an i10 index of 30. In total his papers have 3,462 citations. /p> a hrefhttps://scholar.google.com.au/citations?hlen&user7OkhvkMAAAAJ>View Google Scholar Profile/a>./article>article idphd> h1>PhD Research 2008 - 2011/h1> h2>Internet Commerce Security Laboratory, Federation University Australia/h2> p>I completed my PhD between 2008 and 2011 in the a hrefhttps://federation.edu.au/icsl>Internet Commerce Security Laboratory/a> at Federation University Australia. My Supervisor for the project was Professor Paul Watters and Associate Supervisor was Associate Professor Richard Dazeley. In the project I worked with Westpac Banking Corporation and other partners on real data and real problems in cybercrime./p> p>My PhD research investigated the use of Authorship Analysis to link together cyberattacks, specifically investigating phishing attacks. The work predominately used unsupervised cluster analysis to achieve the goal of clustering attacks by author. I also developed new techniques on authorship analysis, including Recentred Local Profiles./p> p>I also performed other experiments on authorship, including my most cited work on authorship analysis in twitter messages. In that work I showed that high accuracy can be obtained on tweets, despite them being about 100 times shorter than other documents previously studied in the area./p> p>My thesis was accepted with only minor changes and I received my doctorate degree in 2012. While I cannot release the thesis or datasets, all the important chapters have been a hrefhttps://scholar.google.com/citations?user7OkhvkMAAAAJ&hlen>released independently as published research/a>./p> a classback_to_top href#top>Back to top/a>/article>article> h1>Other Achievements:/h1> ul> li> Wrote the book a hrefhttps://www.packtpub.com/product/learning-data-mining-with-python-second-edition/9781787126787>Learning Data Mining with Python/a> through Packt Publishing in 2017 (first and second editions). /li> li> Wrote the online LiveProject course a hrefhttps://www.manning.com/liveproject/authorship-identification-with-text-mining-and-machine-learning?queryrobert%20layton>Authorship Identification with Text Mining and Machine Learning/a> for Manning Publishing in 2021. /li> li>Completed a hrefhttps://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops>Machine Learning Engineering for Production (MLOps) Specialization/a> on Coursera in 2022 /li> /ul>/article>footer> p>© 2025 Dr Robert Layton. All rights reserved./p> p classsocial-links> a hrefhttps://github.com/robertlayton titleGitHub>GitHub/a> a hrefhttps://twitter.com/robertlayton titleTwitter>Twitter/a> a hrefhttps://hackerspace.au/@rob titleMastodon>Mastodon/a> a hrefhttps://scholar.google.com.au/citations?user7OkhvkMAAAAJ&hlen titleGoogle Scholar>Scholar/a> /p>/footer>/body>/html>
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