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<!DOCTYPE html>
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<meta name="description" content="The IRDS mission is to research and develop new methodology and open source software to analyze, ingest, process, and manage Big Data and to turn it into information. We contribute to the world’s largest and most often downloaded open source software projects, we apply tried and true techniques including content detection and analysis, crawling, deduplication, similarity, named entity recognition, construction of inverted indices, query analysis, search, relevancy and ranking, interactive query analysis, and management of large data sets. We have expertise in data collection, working with NASA, DARPA, DHS, NIH across a number of domains, Earth Science, Planetary Science, Astronomy, defense, and private industry.">
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<img src="images/tommy-trojan.jpg" alt="Tommy Trojan">
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<h3>USC - Information Retrieval and Data Science Group</h3>
</div>
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<div class="item">
<img src="images/prof-chris-mattmann.jpg" alt="Dr. Chris Mattmann">
<div class="carousel-caption">
<h3>USC - Information Retrieval and Data Science Group</h3>
</div>
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<div class="item">
<center><img src="http://news.usc.edu/files/2016/05/DG_Mattmann_web-412x618.gif" alt="Dr. Chris Mattmann">
<div class="carousel-caption">
<h3>USC/JPL scientist made big data stories possible on The Panama Papers
<a href="http://news.usc.edu/99878/uscjpl-scientist-made-big-data-stories-possible-on-the-panama-papers" target="_blank">Apache Tika used to extract data from the Panama Papers</a>
</h3>
</div>
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<center><img src="https://www.211la.org/sites/default/files/chris-mattman.jpg
" alt="Dr. Chris Mattmann">
<div class="carousel-caption">
<h3>USC - Information Retrieval and Data Science Group</h3>
</div>
</div>
<div class="item">
<img src="https://pbs.twimg.com/media/Cb2LwzZUUAAj0hG.jpg" alt="Dr. Chris Mattmann">
<div class="carousel-caption">
<h3>
Professor Chris Mattmann presenting multimedia metadata based
forensics at #WSDM2016 conference
</h3>
</div>
</div>
<div class="item">
<div class="col-md-12">
<br/><br/><br/><br/><br/><br/>
<img class="news-item"
src="https://2016.foss4g-na.org/sites/all/themes/eclipsecon_base/themes/foss4g2016/logo.png"
alt="GeoParser" height="200px;">
<div class="row filler-height"></div>
<div class="carousel-caption">
<h3 class="font-black">GeoParser got selected for Foss4g North America</h3>
<h3>
<a href="https://2016.foss4g-na.org/session/memex-geoparser" target="_blank">Memex
- GeoParser</a>
</h3>
</div>
</div>
</div>
<div class="item">
<div class="col-md-12">
<div class="col-md-12">
<img class="news-item" src="https://www.tacc.utexas.edu/tacc-new-theme/images/logo.svg"
alt="TACC Summer Supercomputing Institute (SSI)" height="250px;">
</div>
<h3>TACC Summer Supercomputing Institute (SSI)</h3> <br/>
<p class="text-justify news-item">
TACC's SSI is a week-long workshop which introduces researchers, faculty, staff, students, and industrial partners to high performance computing, data analytics, and scientific visualization. TACC's technology experts will teach attendees how to effectively use advanced computing resources and technologies like Stampede, Maverick, and Wrangler.
</p>
<div class="filler-height">
</div>
<div class="carousel-caption">
<h3 class="font-black">Karanjeet Singh, an IRDS student, got accepted into TACC SSI</h3>
<h3>
<a href="https://portal.tacc.utexas.edu/training/summer-institute" target="_blank">TACC Summer Supercomputing Institute</a>
</h3>
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<h2 class="section-heading">WHAT IS <font class="usc-color">I.R.D.S.</font>?</h2>
<hr>
<p class="text-justify section-content">The Information Retrieval and Data Science Group’s (I.R.D.S.) mission is to research and develop new methodology and open source software to analyze, ingest, process, and manage Big Data and to turn it into information. We contribute to the world’s largest and most often downloaded open source software projects, we apply tried and true techniques including content detection and analysis, crawling, deduplication, similarity, named entity recognition, construction of inverted indices, query analysis, search, relevancy and ranking, interactive query analysis, and management of large data sets. We have expertise in data collection, working with NASA, DARPA, DHS, NIH across a number of domains, Earth Science, Planetary Science, Astronomy, defense, and private industry.</p>
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<!-- Faculty Section -->
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<h2 class="section-heading"><font class="usc-color">USC</font> FACULTY</h2>
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<!--<span class="glyphicon glyphicon-user" aria-hidden="true"></span>-->
<img src="images/headshots/chris-lensa-ai-jan2023.png" style="width:200px;" alt="Chris Mattmann"><br/>
<label>Dr. Chris Mattmann</label><br/>
<a href="http://irds.usc.edu/faculty/mattmann">irds.usc.edu/faculty/mattmann</a>
</div>
<div class="col-md-8">
<p class="text-justify section-content">
Dr. Chris Mattmann is the Director of the IRDS Group at USC and an Adjunct Research ("Full") Professor and has taught at the University since 2008, and been a student at USC since 1998. Mattmann was instrumental in establishing USC as a powerhouse in data science building a diverse portfolio of awards from many sponsors. Mattmann has advised 3 Postdocs, and mentored hundreds of masters and dozens of undergraduate students. In addition to his roles at USC, Mattmann is also the <a href="https://it.ucla.edu/units/chief-data-and-artificial-intelligence-officer">Chief Data and Artificial Intelligence Officer (CDAIO)</a> at UCLA, the <a href="https://cio.ucla.edu/meet-our-team">first such position in the UC system</a>. He collaborates with key stakeholders to develop the strategy and roadmap for data and artificial intelligence (AI) innovations. Before UCLA, Mattmann was the <a href="http://scienceandtechnology.jpl.nasa.gov/dr-chris-mattmann">Division Manager of the Artificial Intelligence, Analytics and Innovative Development Organization at NASA JPL</a> and was the Chief Technology and Innovation Officer. Mattmann has a proven track record of delivering large enterprise implementations that fundamentally changed the way the world searches, clicks on, organizes, and transacts with data. He is experienced leading executive committees, advising the C-Suite, chairing governance boards and in making organization’s data more valuable.
</p>
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<!--<span class="glyphicon glyphicon-user" aria-hidden="true"></span>-->
<img src="images/headshots/jeffrey-miller.jpg" alt="" style="width:200px;height:200px;"><br/>
<label>Dr. Jeffrey Miller</label><br/>
<a href="https://viterbi.usc.edu/directory/faculty/Miller/Jeffrey">https://viterbi.usc.edu/directory/faculty/Miller/Jeffrey</a>
</div>
<div class="col-md-8">
<p class="text-justify section-content">
Dr. Jeffrey Miller is currently an Associate Professor of Engineering Practice in the Computer Science department at the University of Southern California. Prior to that, he was an Assistant and Associate Professor in the Computer Engineering department at the University of Alaska Anchorage for six years and an Adjunct Professor in the Computer Science department at California State University, Los Angeles for five years. Dr. Miller’s research interests include vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, ethical issues related to driverless vehicles, and Computer Science education (K12, undergraduate, and graduate). He has given talks for the National Academy of Engineers and other organizations related to ethics in driverless vehicles, and he has a passion for K12 STEM education. Jeff helps IRDS by running our Undergraduate Capstone class and has helped supervise several IRDS projects that have advanced machine learning, search, and AI.
</p>
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<div class="col-md-4">
<!--<span class="glyphicon glyphicon-user" aria-hidden="true"></span>-->
<img src="images/headshots/yaoyi-chiang.jpg" alt="" style="width:200px;height:200px;"><br/>
<label>Dr. Yao-Yi Chiang</label><br/>
<a href="https://spatial.usc.edu/team-view/yao-yi-chiang/">https://spatial.usc.edu/team-view/yao-yi-chiang/</a>
</div>
<div class="col-md-8">
<p class="text-justify section-content">
Yao-Yi Chiang is an Associate Professor (Research) in Spatial Sciences, the Director of the Spatial Computing Laboratory at the Spatial Sciences Institute, and the Associate Director of the NSF's Integrated Media Systems Center (IMSC) at the University of Southern California (USC). Dr. Chiang received his Ph.D. degree in Computer Science from the University of Southern California; his bachelor’s degree in information management from the National Taiwan University. His general area of research is information integration and data mining with a focus on spatiotemporal data and their applications. Dr. Chiang is also an expert on digital map processing and geospatial information system (GIS). His research interests further include computer vision, image processing, and semantic web. Dr. Chiang develops computer algorithms and intelligent systems that discover, collect, fuse, and analyze data from heterogeneous sources to solve real-world problems. Before USC, Dr. Chiang worked as a research scientist for Geosemble Technologies and Fetch Technologies in California. Geosemble Technologies was founded based on a patent on geospatial data fusion techniques, and he was a co-inventor. Yao-Yi contributes by supervising and mentoring Directed Research projects for IRDS.
</p>
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data-tabs="timeline" data-width="500px"
data-height="1024px" data-small-header="true"
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<a href="https://www.facebook.com/USCDataScience/">USC Information Retrieval and Data Science</a></blockquote>
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<h2 class="section-heading">STUDENTS</h2>
<hr/>
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<div class="panel-heading">
<h3 class="panel-title">Research Assistants</h3>
</div>
<div class="panel-body" id="ras-grid">
</div>
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<hr/>
<div>
<h3>Directed Research (D.R.) Students</h3>
<div class="dr-students" id="dr-students"></div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
</div>
<!-- Projects Section -->
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<h2 class="section-heading" style="margin-top: 10.5cm;">PROJECTS</h2>
<hr>
</div>
</div>
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<!-- Wrapper for slides -->
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<!-- Template for one project start -->
<div class="col-md-6 project-item">
<img src="https://c2.staticflickr.com/2/1668/25400858655_5fbb4060d8_c.jpg"
alt="GeoParser" class="image-fit">
<div class="carousel-caption">
<h3>GeoParser - Tika based Geospatial extractor</h3>
<h3>
<a href="https://github.com/MBoustani/GeoParser" target="_blank">https://github.com/MBoustani/GeoParser</a>
</h3>
</div>
</div>
<!-- Template for one project ends -->
<div class="col-md-6 project-item">
<img src="https://c2.staticflickr.com/2/1608/25310171351_da0b0498af_c.jpg"
alt="Khooshe" class="image-fit">
<div class="carousel-caption">
<h3>Khooshe - Visualizing Big Data
<a href="http://smadha.github.io/khooshe_openlayers.html" target="_blank">(DEMO)</a> </h3>
<a href="https://github.com/MBoustani/Khooshe" target="_blank">https://github.com/MBoustani/Khooshe</a>
</h3>
</div>
</div>
</div>
<div class="item">
<div class="col-md-6 project-item">
<img src="https://c2.staticflickr.com/2/1521/25377425506_6ae19fb5be.jpg"
alt="NaMoStats" class="image-fit">
<div class="carousel-caption">
<h3 class="font-black">IRDS analyzed elections. #HackTech2016</h3>
<h3>
<a
href="http://devpost.com/software/namostats-analyzing-2016-us-presidential-elections-glv6df"
target="_blank">NaMoStats Devpost Blog</a>
</h3>
</div>
</div>
<div class="col-md-6 project-item">
<h3>Lucene Geo-Gazetteer</h3> <br/>
<div>
<p class="text-justify">
A command line gazetteer built around the Geonames.org dataset, that uses
the Apache Lucene library to create a searchable gazetter.
</p>
<p class="text-justify">The Geonames.org dataset contains over 10,000,000 geographical names
corresponding to over 7,500,000 unique features. Beyond names of places in
various languages, data stored include latitude, longitude, elevation,
population, administrative subdivision and postal codes. All coordinates use the
World Geodetic System 1984 (WGS84).</p>
</div>
<div class="carousel-caption">
<h3>
<a href="https://github.com/chrismattmann/lucene-geo-gazetteer"
target="_blank">https://github.com/chrismattmann/lucene-geo-gazetteer</a>
</h3>
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alt="Autoextractor" class="image-fit">
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<h3 class="font-black">Auto-Extractor - Clustering web pages</h3>
<h3>
<a href="https://github.com/USCDataScience/autoextractor"
target="_blank">https://github.com/USCDataScience/autoextractor</a>
</h3>
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<h3>DRAT - Distributed Release Audit Tool</h3> <br/>
<div>
<p class="text-justify">
A distributed, parallelized (Map Reduce) wrapper around Apache™ RAT (Release Audit Tool). RAT is used to check for proper licensing in software projects. However, RAT takes a prohibitively long time to analyze large repositories of code, since it can only run on one JVM. Furthermore, RAT isn't customizable by file type or file size and provides no incremental output. This wrapper dramatically speeds up the process by leveraging Apache™ OODT to parallelize the workflow.
</p>
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<h3>
<a href="https://github.com/chrismattmann/drat"
target="_blank">https://github.com/chrismattmann/drat</a>
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<li><b><u>April 2018</u> : Poster Abstract for the 2018 EarthCube All Hands Meeting has been accepted.</b></li>
<li ><b><u>April 2018</u> : IRDS students Srinidhi Nandakumar and Gayathri Ravichandran win 2018 Viterbi Graduate Hackathon.</b> </li>
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<h3 class="section-heading">Acknowledgments</h3>
IRDS is supported in part by <a href="http://www.jpl.nasa.gov/" target="_blank">JPL</a>, managed by the <a href="http://www.caltech.edu/" target="_blank">California Institute of Technology</a> on behalf of <a href="http://www.nasa.gov/" target="_blank">NASA</a>.
IRDS is also supported in part by the <a href="http://www.211la.org/" target="_blank"> Information and Referral Federation of Los Angeles County (211 LA County)</a> via research collaborations and partnerships.
Additionally, IRDS is supported in part by the <a href="http://www.darpa.mil/">DARPA</a> <a href="http://www.darpa.mil/program/memex/" target="_blank">Memex</a>/<a href="http://www.darpa.mil/program/xdata" target="_blank">XDATA</a>/<a href="https://www.darpa.mil/program/data-driven-discovery-of-models" target="_blank">D3M</a>
programs and NSF award numbers <a href="http://www.nsf.gov/awardsearch/showAward?AWD_ID=1639753" target="_blank">ICER-1639753</a>, <a href="http://www.nsf.gov/awardsearch/showAward?AWD_ID=1348450" target="_blank">PLR-1348450</a> and <a href="http://www.nsf.gov/awardsearch/showAward?AWD_ID=1445624" target="_blank">PLR-1445624</a>
funded a portion of the work.
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<a href="mailto:mattmann@usc.edu">mattmann@usc.edu</a> or <a href="mailto:irds-L@mymaillists.usc.edu">irds-L@mymaillists.usc.edu</a>
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transparency and openness. </p>
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<li><a href="https://github.com/USCDataScience"> Github repositories</a></li>
<li><a href="files/USC-IRDS-PPT-Template.potx"> Power point presentation template</a></li>
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