{"id":11,"date":"2026-01-11T21:02:39","date_gmt":"2026-01-11T21:02:39","guid":{"rendered":"https:\/\/faculty.eng.fau.edu\/xqzhu\/?page_id=11"},"modified":"2026-01-12T19:31:18","modified_gmt":"2026-01-12T19:31:18","slug":"research-grants","status":"publish","type":"page","link":"https:\/\/faculty.eng.fau.edu\/xqzhu\/research-grants\/","title":{"rendered":"Research Grants"},"content":{"rendered":"\n<h6 class=\"wp-block-heading\"><strong>Active Research Projects:<\/strong><\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Collaborative Research: III: Small: Taming Large-Scale Streaming Graphs in an Open World, (Role: PI; Sponsor: National Science Foundation),&nbsp;<a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2236579&amp;HistoricalAwards=false\">IIS-2236579<\/a><\/li>\n\n\n\n<li>NSF-CSIRO: Towards Interpretable and Responsible Graph Modeling for Dynamic Systems, (Role: PI; Sponsor: National Science Foundation),&nbsp;<a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2302786&amp;HistoricalAwards=false\">IIS-2302786<\/a><\/li>\n\n\n\n<li>III: Medium: Collaborative Research: KMELIN: Knowledge Mining and Embedding Learning for Complex Dynamic Information Networks, (Role: PI; Sponsor: National Science Foundation),&nbsp;<a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=1763452\">IIS-1763452<\/a>. [<a href=\"https:\/\/eng.fau.edu\/research\/kmelin\">Project Website<\/a>][<a href=\"https:\/\/www.fau.edu\/newsdesk\/articles\/zhu-nsf-grant.php\">News Release<\/a>]<\/li>\n\n\n\n<li>Collaborative Research: Implementation: Medium: Secure, Resilient Cyber-Physical Energy System Workforce Pathways via Data-Centric, Hardware-in-the-Loop Training, (Role: Co-PI; Sponsor: National Science Foundation),&nbsp;<a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2320972&amp;HistoricalAwards=false\">OAC-2320972<\/a><\/li>\n\n\n\n<li>Making the Master&#8217;s Degree in Artificial Intelligence Accessible to High-Achieving Low-Income Students, (Role: Co-PI; Sponsor: National Science Foundation),&nbsp;<a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2030854&amp;HistoricalAwards=false\">DUE-2030854<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>Expired Research Projects:<\/strong><\/p>\n\n\n\n<p>NSF Student Travel Support for the 2022 IEEE International Conference on Data Mining (IEEE ICDM 2022), (Role: PI; Sponsor: National Science Foundation),&nbsp;<a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2226627&amp;HistoricalAwards=false\">IIS-2226627<\/a><\/p>\n\n\n\n<p>RAPID: COVID-19 Coronavirus Testbed and Knowledge Base Construction and Personalized Risk Evaluation. (Role: PI; Sponsor: National Science Foundation),&nbsp;<a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2027339\">IIS-2027339<\/a>. [Project Website][<a href=\"https:\/\/healthitanalytics.com\/news\/machine-learning-powers-covid-19-risk-assessment-dashboard\">News Release<\/a>] [<a href=\"https:\/\/www.wlrn.org\/health-care\/2020-07-02\/can-a-computer-dashboard-calculate-risks-from-covid-19-fau-is-building-one\">News Release<\/a>] [<a href=\"https:\/\/www.newswise.com\/coronavirus\/researchers-design-covid-19-knowledge-base-and-risk-assessment-tool-powered-by-artificial-intelligence\/?article_id=733599\">News Release<\/a>]\n\n\n\n<p>NSF Student Travel Grant for the 2021 IEEE International Conference on Big Data (IEEE BigData 2021), (Role: PI; Sponsor: National Science Foundation),&nbsp;<a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2129417&amp;HistoricalAwards=false\">IIS-2129417<\/a><\/p>\n\n\n\n<p>MRI: Acquisition of Artificial Intelligence &amp; Deep Learning (AIDL) Training and Research Laboratory. (Role: PI; Sponsor: National Science Foundation),&nbsp;<a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=1828181\">CNS-1828181<\/a>. [Project Website][<a href=\"https:\/\/www.bizjournals.com\/southflorida\/news\/2019\/01\/10\/fau-receives-652820-grant-to-establish-aidl.html\">News Release<\/a>]\n\n\n\n<p>Development of Curriculum and Hands-on Deep Learning Labs for IoT Cybersecurity, (Role: Co-PI; Sponsor:&nbsp;<a href=\"https:\/\/cyberflorida.org\/\">Cyber Floria<\/a>)<\/p>\n\n\n\n<p>Privacy Preserving Protocols for Big Data Analytics. (Role: Co-PI; Sponsor:&nbsp;<a href=\"http:\/\/www.eng.fau.edu\/\">FAU College of Engineering \\&amp; Computer Science<\/a>)<\/p>\n\n\n\n<p>Real-Time Bidding Price Optimization. (Role: PI; Sponsor:&nbsp;<a href=\"http:\/\/www.bidtellect.com\/\">Bidtellect Inc.<\/a>)<\/p>\n\n\n\n<p>NSF I\/UCRC: Application of Common Machine Learning Algorithms for Uses Cases in Auto Industry \u2013 Phase 2 (Role: PI, Sponsor: JM Family Enterprises Inc.)<\/p>\n\n\n\n<p>NSF I\/UCRC: Machine Learning Algorithms for Uses Cases in Auto Industry (JM Family Enterprises Inc.), (Role: PI, Sponsor: JM Family Enterprises Inc.)<\/p>\n\n\n\n<p>PFI:AIR &#8211; TT: A Clinical Predictive Model Based Smart Decision Support System for Congestive Obstructive Pulmonary Disease (COPD) related Re-hospitalization, (Role: Co-PI; Sponsor: National Science Foundation, IIP: 1444949)<\/p>\n\n\n\n<p>MRI: Acquisition of Big Data Training and Research Laboratory (Role: Co-PI; National Science Foundation, CNS-1427536)<\/p>\n\n\n\n<p>RED-CAKE: Novel Data Mining Approaches for Knowledge Based Skill Matching for Employers (Role: PI; Sponsor: FAU I\/UCRC, incVersity)<\/p>\n\n\n\n<p>Mining Multiple Information Sources through Collaborative and Comparative Analysis (Role: CI; Sponsor: Australian Research Council)<\/p>\n\n\n\n<p>Database-centric data analysis of molecular simulations (Role: PI; Sponsor: NIH-1R01GM086707-01A1, subcontract)<\/p>\n\n\n\n<p>Comparative Pancreatic Cancer Study Using Discriminative Gene Regulatory Network (Role: PI; Sponsor: American Cancer Society ACS-IRG, subcontract)<\/p>\n\n\n\n<p>Pattern Matching with Wildcards and Length Constraints (Role: Co-PI; Sponsor: National Science Foundation, CCF-0514819)<\/p>\n\n\n\n<p>ICHECK: Identifying Deception Data with Impact-Sensitive Instance Ranking (Role: PI; Sponsor: National Science Foundation, subcontract EPS-0236976)<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Active Research Projects: Expired Research Projects: NSF Student Travel Support for the 2022 IEEE International Conference on Data Mining (IEEE [&hellip;]<\/p>\n","protected":false},"author":101,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"normal-width-container","site-content-style":"boxed","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-11","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/faculty.eng.fau.edu\/xqzhu\/wp-json\/wp\/v2\/pages\/11","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.fau.edu\/xqzhu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.eng.fau.edu\/xqzhu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.fau.edu\/xqzhu\/wp-json\/wp\/v2\/users\/101"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.fau.edu\/xqzhu\/wp-json\/wp\/v2\/comments?post=11"}],"version-history":[{"count":5,"href":"https:\/\/faculty.eng.fau.edu\/xqzhu\/wp-json\/wp\/v2\/pages\/11\/revisions"}],"predecessor-version":[{"id":97,"href":"https:\/\/faculty.eng.fau.edu\/xqzhu\/wp-json\/wp\/v2\/pages\/11\/revisions\/97"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.fau.edu\/xqzhu\/wp-json\/wp\/v2\/media?parent=11"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}