<div dir="ltr"><div dir="ltr"><div dir="ltr"><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span style="font-size:22pt">Call for Papers<span></span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span style="font-size:14pt">2019 IEEE International Conference on Big Data (IEEE BigData 2019)<span></span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><a href="http://bigdataieee.org/BigData2019/" style="color:purple;font-family:"Times New Roman",serif;text-decoration:underline"><span lang="IT">http://bigdataieee.org/BigData2019/</span></a><span lang="IT"><span></span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span lang="IT">December 10-13, 2019, Los Angeles, CA, USA<span></span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span lang="IT"> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span style="font-size:11pt">In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. </span><span style="font-size:11pt;font-family:Cambria,serif">The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data.</span><span style="font-size:11pt;font-family:Calibri,sans-serif"></span><span style="font-size:11pt;font-family:Cambria,serif"> </span><span style="font-size:11pt;font-family:Calibri,sans-serif"><span></span></span></p><p class="gmail-MsoListParagraphCxSpFirst" style="margin:0in 0in 0.0001pt 0.5in;font-size:12pt;font-family:"Times New Roman",serif"><span style="font-size:11pt;font-family:Symbol">·<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span></span><span style="font-size:11pt;font-family:Cambria,serif">The first conference IEEE Big Data 2013 had more than 400 registered participants from 40 countries </span>(<span class="gmail-apple-converted-space"><a href="http://bigdataieee.org/BigData2013/">http://bigdataieee.org/BigData2013/</a></span><span class="gmail-MsoHyperlink" style="font-family:"Times New Roman",serif;color:blue;text-decoration:underline"><span style="font-size:11pt;font-family:Cambria,serif">,</span></span><span class="gmail-apple-converted-space"><span style="font-size:11pt;font-family:Cambria,serif"> and the </span></span><span style="font-size:11pt;font-family:Cambria,serif">regular paper acceptance rate is 17.0%.</span><span style="font-size:11pt;font-family:Calibri,sans-serif"><span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.5in;font-size:12pt;font-family:"Times New Roman",serif"><span style="font-family:Symbol;color:black">·<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span></span><span style="color:black">The IEEE Big Data 2017 (</span><a href="http://bigdataieee.org/BigData2017/">http://bigdataieee.org/BigData2017/</a><span class="gmail-apple-converted-space"><span style="color:black">,</span></span><span style="color:black">regular paper acceptance rate: 17.8%) was held in Boston, MA, Dec 11-14, 2017 with close to 1000 registered participants from 50 countries.<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.5in;font-size:12pt;font-family:"Times New Roman",serif"><span style="font-family:Symbol">·<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span></span>The IEEE Big Data 2018 (<a href="http://bigdataieee.org/BigData2018/">http://bigdataieee.org/BigData2018/</a><span class="gmail-apple-converted-space">,</span>regular paper acceptance rate: 19.7%) was held in Seattle, WA, Dec 10-13, 2018 with close to 1100 registered participants from 47 countries.<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt 0.5in;font-family:"Times New Roman",serif"><span> </span></p><p class="gmail-MsoListParagraphCxSpLast" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt 0.5in;font-family:"Times New Roman",serif"><span style="font-size:11pt;font-family:Calibri,sans-serif"><span> </span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"> The 2019 IEEE International Conference on Big Data (IEEE BigData 2019) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications. <span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span style="font-family:Verdana,sans-serif;color:rgb(34,34,34)"><span> </span></span></p><p class="gmail-MsoPlainText" style="color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-size:10.5pt;font-family:Consolas"><span style="font-size:12pt;font-family:"Times New Roman",serif">We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) big data systems and applications. <span style="color:red">The conference adopts single-blind review policy</span>. We expect to have a very high quality and exciting technical program at Seattle this year. <b><i>Example topics of interest includes but is not limited to the following</i></b>:<span></span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><a name="_Hlk2071575"><span style="font-family:Verdana,sans-serif;color:rgb(34,34,34)"><span> </span></span></a></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.25in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">1.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Big Data Science and Foundations<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Novel Theoretical Models for Big Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>New Computational Models for Big Data <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Data and Information Quality for Big Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>New Data Standards<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.25in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">2.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Big Data Infrastructure<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Cloud/Grid/Stream Computing for Big Data <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>High Performance/Parallel Computing Platforms for Big Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Energy-efficient Computing for Big Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">e.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">f.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span>Software Techniques and Architectures in Cloud/Grid/Stream Computing<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">g.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Big Data Open Platforms<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">h.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>New Programming Models for Big Data beyond Hadoop/MapReduce, STORM <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">i.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span>Software Systems to Support Big Data Computing<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.25in;font-size:12pt;font-family:"Times New Roman",serif">3.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Big Data Management<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Algorithms and Systems for Big DataSearch<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Distributed, and Peer-to-peer Search<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Big Data Search Architectures, Scalability and Efficiency<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">e.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Data Acquisition, Integration, Cleaning, and Best Practices<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">f.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span>Visualization Analytics for Big Data <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">g.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Computational Modeling and Data Integration <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">h.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Large-scale Recommendation Systems and Social Media Systems<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">i.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span>Cloud/Grid/Stream Data Mining- Big Velocity Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">j.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span>Link and Graph Mining<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">k.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Semantic-based Data Mining and Data Pre-processing<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">l.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span>Mobility and Big Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">m.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">   </span>Multimedia and Multi-structured Data- Big Variety Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;font-size:medium;color:rgb(0,0,0);font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.25in;font-size:12pt;font-family:"Times New Roman",serif">4.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Big Data Search and Mining<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Social Web Search and Mining<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Web Search<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Algorithms and Systems for Big Data Search<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Distributed, and Peer-to-peer Search<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">e.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Big Data Search Architectures, Scalability and Efficiency<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">f.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span>Data Acquisition, Integration, Cleaning, and Best Practices<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">g.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Visualization Analytics for Big Data <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">h.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Computational Modeling and Data Integration <span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">i.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span>Large-scale Recommendation Systems and Social Media Systems<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">j.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span>Cloud/Grid/Stream Data Mining- Big Velocity Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">k.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Link and Graph Mining<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">l.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span>Semantic-based Data Mining and Data Pre-processing<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">m.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">   </span>Mobility and Big Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">n.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Multimedia and Multi-structured Data- Big Variety Data<span></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.75in;font-size:medium;color:rgb(0,0,0);text-align:justify;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.25in;font-size:12pt;font-family:"Times New Roman",serif">5.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Ethics, Privacy and Trust in Big Data Systems<span></span></p><p class="gmail-MsoListParagraphCxSpFirst" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif"><span style="font-size:11pt">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span></span>Techniques and models for fairness and diversity <span style="font-size:11pt"><span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Experimental studies of fairness, diversity, accountability, and transparency <span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Techniques and models for transparency and interpretability <span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Trade-offs between transparency and privacy<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">e.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Intrusion Detection for Gigabit Networks<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">f.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Anomaly and APT Detection in Very Large-Scale Systems<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">g.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>High Performance Cryptography<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">h.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Visualizing Large Scale Security Data<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">i.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Threat Detection using Big Data Analytics<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">j.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Privacy Preserving Big Data Collection/Analytics<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">k.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>HCI Challenges for Big Data Security & Privacy<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">l.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Trust management in IoT and other Big Data Systems<span></span></p><p class="gmail-MsoListParagraphCxSpLast" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt 0.5in;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="gmail-MsoListParagraphCxSpFirst" style="margin:0in 0in 0.0001pt 0.25in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">6.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Hardware/OS Acceleration for Big Data<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif"><span style="font-size:11pt">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span></span>FPGA/CGRA/GPU accelerators for Big Data applications<span style="font-size:11pt"><span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Operating system support and runtimes for hardware accelerators<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Programming models and platforms for accelerators<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Domain-specific and heterogeneous architectures<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">e.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Novel system organizations and designs<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">f.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Computation in memory/storage/network<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">g.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Persistent, non-volatile and emerging memory for Big Data<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.75in;font-size:12pt;font-family:"Times New Roman",serif">h.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span>Operating system support for high-performance network architectures<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.25in;font-size:medium;color:rgb(0,0,0);text-align:justify;font-family:"Times New Roman",serif"><span> </span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.25in;text-align:justify;font-size:12pt;font-family:"Times New Roman",serif">7.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span>Big Data Applications<span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="color:black">a.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span></span><span style="color:black">Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="color:black">b.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span></span><span style="color:black">Big Data Analytics in Small Business Enterprises (SMEs),<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="color:black">c.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span></span><span style="color:black">Big Data Analytics in Government, Public Sector and Society in General<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="color:black">d.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span></span><span style="color:black">Real-life Case Studies of Value Creation through Big Data Analytics<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="color:black">e.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">    </span></span><span style="color:black">Big Data as a Service<span></span></span></p><p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="color:black">f.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span></span><span style="color:black">Big Data Industry Standards<span></span></span></p><p class="gmail-MsoListParagraphCxSpLast" style="margin:0in 0in 0.05in 0.75in;line-height:15.6pt;font-size:12pt;font-family:"Times New Roman",serif"><span style="font-family:Verdana,sans-serif">g.<span style="font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><span style="color:black">Experiences with Big Data Project Deployments</span><span style="font-family:Verdana,sans-serif"><span></span></span></p><span style="color:rgb(0,0,0);font-family:-webkit-standard"></span><span style="color:rgb(0,0,0);font-family:-webkit-standard;font-size:medium"></span><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span style="font-family:Verdana,sans-serif;color:rgb(34,34,34)"><span> </span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span style="font-size:14pt">INDUSTRIAL Track<span></span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">The Industrial Track solicits papers describing implementations of Big Data solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry. We accept full papers (up to 10 pages) and extended abstracts (2-4 pages).<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><i><span style="font-size:11.5pt"><span> </span></span></i></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span style="font-size:14pt">Student Travel Award<span></span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">IEEE Big Data 2019 will offer<b>student travel </b>to student authors (including post-docs) <span></span></p><p class="gmail-MsoListParagraph" style="margin:0in 0in 0.0001pt 0.75in;font-size:medium;color:rgb(0,0,0);text-align:justify;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span lang="DE"> </span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><u>Paper Submission</u>:<span></span></b></p><p class="gmail-default" style="font-size:medium;margin-right:0in;margin-left:0in;font-family:"Times New Roman",serif;color:black">Please submit a full-length paper (up to <b><span style="color:red">10-page IEEE 2-column format</span></b>) through the online submission system. <span></span></p><p class="gmail-default" style="font-size:medium;margin-right:0in;margin-left:0in;font-family:"Times New Roman",serif;color:black"><a href="https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=BigD" style="color:purple;font-family:"Times New Roman",serif;text-decoration:underline">https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=BigD</a><span></span></p><p class="gmail-default" style="font-size:medium;margin-right:0in;margin-left:0in;font-family:"Times New Roman",serif;color:black">Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to "formatting instructions" below).<br><span style="font-size:9pt;font-family:Arial,sans-serif"><br></span><strong style="font-family:"Times New Roman",serif">Formatting Instructions</strong><br>8.5" x 11" (<a href="ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.doc" style="color:purple;font-family:"Times New Roman",serif;text-decoration:underline">DOC</a>,<a href="ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.pdf" style="color:purple;font-family:"Times New Roman",serif;text-decoration:underline">PDF</a>)<br><a href="ftp://pubftp.computer.org/Press/Outgoing/proceedings/IEEE_CS_Latex8.5x11x2.zip" style="color:purple;font-family:"Times New Roman",serif;text-decoration:underline"><strong style="font-family:"Times New Roman",serif"><span style="color:rgb(0,28,81)">LaTex Formatting Macros</span></strong></a><span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b>Important Dates:</b><span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Electronic submission of full papers: August 19, 2019<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Notification of paper acceptance: Oct 16, 2019<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Camera-ready of accepted papers: Nov 10, 2019<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Conference: Dec 9-12, 2019<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span style="font-size:14pt">Conference Co-Chairs:</span></b><span style="font-size:14pt"><span></span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Dr. Roger Barga, Amazon.com, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof Carlo Zaniolo, UCLA, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b> </b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span style="font-size:14pt">Program Co-Chairs:</span></b><span style="font-size:14pt"><span></span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Dr. Chaitanya Baru, San Diego Supercomputer Center/UC San Diego, USA<span></span></p><p class="gmail-default" style="margin:0in 0in 0.0001pt;font-size:medium;font-family:"Times New Roman",serif;color:black">Dr, Jun (Luke) Huan, Baidu Big Data Lab, China<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Latifur Khan, University of Texas at Dallas, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b>Vice Chairs in Big Data Science and Foundations<span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Jingrui He, UIUC, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Wenqing Hu, Missouri S&T University, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b>Vice Chairs in Big Data Infrastructure<span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Hanghang Tong, UIUC, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Dr. Yinglong Xia, Huawei, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b> </b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b>Vice Chairs in Big Data Management<span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Christopher Jermaine, Rice University, USA<br>Prof. Zhou Yongluan, Univ. of Copenhagen, Denmark<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b> </b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b>Vice Chairs in Big Data Search and Mining<span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Quanquan Gu, UCLA, USA <span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Aditya Prakash, Virginia Tech, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b> </b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b>Vice Chairs in Big Data Security, Privacy and Trust<span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Dongwon Lee, Penn State University, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Julia Stoyanovich, New York University, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b>Vice Chairs in Hardware/OS Accelerating for Big Data<span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Sang-Woo Jun, UC Irvine, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Harry Xu, UCLA, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b>Vice Chairs in Big Data Applications<span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Xia Ning, Ohio State University, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Prof. Tim Weninger, Univ. of Notre Dame, USA<span></span></p><p class="gmail-default" style="margin:0in 0in 0.0001pt;font-size:medium;font-family:"Times New Roman",serif;color:black"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><b><span style="font-size:14pt">Industry and Government Program Committee Co-Chairs<span></span></span></b></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Dr. Ronay Ak, NVIDIA, USA<span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif">Dr. Yuanyuan Tian, IBM Almaden Research Center, USA, <span></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span> </span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span><br></span></p><p class="MsoNormal" style="font-size:medium;color:rgb(0,0,0);text-align:justify;margin:0in 0in 0.0001pt;font-family:"Times New Roman",serif"><span><br></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;font-size:medium;text-align:justify;font-family:"Times New Roman",serif;color:black"><span style="font-family:"Courier New";font-size:10pt">To subscribe to this list, the user sends an email,</span></p><p style="margin:0in 0in 0.0001pt;font-size:medium;color:rgb(0,0,0);font-family:"Times New Roman",serif"><span style="font-size:10pt;font-family:"Courier New"">with blank subject line, to<br><a href="mailto:listserv@lists.drexel.edu" target="_blank" style="color:rgb(149,79,114)">listserv@lists.drexel.edu</a>. In the text box, the user<br>types: <br><br>subscribe BIGDATA<br><br>To unsubscribe from a list, the user sends an email to<br><a href="mailto:listserv@lists.drexel.edu" target="_blank" style="color:rgb(149,79,114)">listserv@lists.drexel.edu</a> with the message</span><span style="font-size:10pt;font-family:Verdana,sans-serif"></span></p><p style="margin:0in 0in 0.0001pt;font-size:medium;color:rgb(0,0,0);font-family:"Times New Roman",serif"><span style="font-size:10pt;font-family:"C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