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<div class="card contentBoxNB">
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<div class="card-header">Highlights</div>
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<ul style="line-height:1.7">
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<li><span>2024:</span>
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<br>- We published <b>nine full papers</b> in <b>SIGMOD</b>, <b>VLDB</b>, <b>NAACL</b>, <b>VLDB Journal</b> (two papers), <b>EDBT</b> (two papers), <b>ICKG</b>, and one invited paper in <b>Data Engineering Bulletin</b>; and one Demo paper in VLDB.
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<div>&nbsp;</div>
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<div class="card-header">Announcements</div>
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<div class="card-header">News and Announcements</div>
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<ul style="line-height:1.7">
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<li>Congratulations to <i>Nima Shahbazi</i> on the <b>“2024-2025 College of Engineering Exceptional Research Promise Award”</b>.</li>
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<li><i>Nima Shahbazi</i> will be a Research Intern at <b>Microsoft Research, Gray Systems Lab</b> in Summer 2025.</li>
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<li>Congratulations to <i>Mohsen Dehghankar</i> on his <i>VLDB'25</i> paper, <i>“Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups”</i>.</li>
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<li>Congratulations to <i>Mohsen Dehghankar</i> on his <i>KDD'25</i> paper, <i>“Fair Set Cover”</i>.</li>
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<li>Congratulations to <i>Mahdi Erfanian</i> on his <i>VLDB'24</i> paper, <i>“Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities”</i>.</li>
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<li>Congratulations to <i>Sana Ebrahimi</i> and <i>Nima Shahbazi</i> on their <i>NAACL'24</i> paper, <i>“Reliability and Equity through Aggregation in Large Language Models”</i>.</li>
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<li>Congratulations to <i>Nima Shahbazi</i> on his (Megagon) internship project's acceptance in ICDE'24.</li>
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<li>Congratulations to <i>Nima Shahbazi</i> on his <i>SIGMOD'24</i> paper, <i>“FairHash: A Fair and Memory/Time-efficient Hashmap”</i>.</li>
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<li><i>Nima Shahbazi</i> will be a Research Scientist Intern at <b>Megagon Labs</b> in Summer 2023.</li>
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<li>Congratulations to <i>Nima Shahbazi</i> on his <i>VLDB'23</i> paper, <i>“Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching”</i>.</li>
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<li>Congratulations to <i>Melika Mousavi</i> and <i>Nima Shahbazi</i> on their <i>EDBT'24</i> paper, <i>“Data Coverage for Detecting Representation Bias in Image Data Sets: A Crowdsourcing Approach”</i>.</li>
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<li>Congratulations to <i>Rishi Advani</i> on his <i>KDD'23</i> paper, <i>“Maximizing Neutrality in News Ordering”</i>.</li>

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