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3 </head> <body class="fixed-top-nav "> <header> <nav id="navbar" class="navbar navbar-light navbar-expand-sm fixed-top" role="navigation"> <div class="container"> <button class="navbar-toggler collapsed ml-auto" type="button" data-toggle="collapse" data-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation"> <span class="sr-only">Toggle navigation</span> <span class="icon-bar top-bar"></span> <span class="icon-bar middle-bar"></span> <span class="icon-bar bottom-bar"></span> </button> <div class="collapse navbar-collapse text-right" id="navbarNav"> <ul class="navbar-nav ml-auto flex-nowrap"> <li class="nav-item active"> <a class="nav-link" href="/">MMAI @ IEEE ICDM 2025 <span class="sr-only">(current)</span> </a> </li> <li class="nav-item "> <a class="nav-link" href="/cfp/">Call for Papers </a> </li> <li class="nav-item "> <a class="nav-link" href="/schedule/">Schedule </a> </li> <li class="nav-item "> <a class="nav-link" href="/accepted_papers/index.html">Accepted Papers </a> </li> <li class="nav-item"> <button id="search-toggle" title="Search" onclick="openSearchModal()"> <span class="nav-link">ctrl k <i class="ti ti-search"></i></span> </button> </li> <li class="toggle-container"> <button id="light-toggle" title="Change theme"> <i class="ti ti-sun-moon" id="light-toggle-system"></i> <i class="ti ti-moon-filled" id="light-toggle-dark"></i> <i class="ti ti-sun-filled" id="light-toggle-light"></i> </button> </li> </ul> </div> </div> </nav> <progress id="progress" value="0"> <div class="progress-container"> <span class="progress-bar"></span> </div> </progress> </header> <div class="container mt-5" role="main"> <div class="post"> <header class="post-header"> <h1 class="post-title">MMAI @ IEEE ICDM 2025</h1> <h5 class="post-description">Advancing Multimodal AI Research and Applications</h5> </header> <article class="post-content MMAI @ IEEE ICDM 2025 clearfix"> <p>The <strong>5th IEEE International Workshop on Multimodal AI (MMAI)</strong> aims to advance cutting-edge research and real-world applications in <strong>multimodal artificial intelligence</strong>. Building on the success of previous MMAI workshops, this year’s edition continues to foster collaboration between researchers and practitioners exploring the latest innovations in <strong>multimodal learning, data fusion, and cross-modal applications</strong>.</p> <p>For <strong>MMAI 2025</strong>, we are introducing a <strong>dual-workshop mode</strong>:</p> <ul> <li> <strong>In-person</strong> workshop at <a href="https://icdmw25mmai.github.io/">MMAI@IEEE ICDM 2025</a> </li> <li> <strong>Online</strong> workshop at <a href="https://sites.google.com/view/mmai2025/home" rel="external nofollow noopener" target="_blank">MMAI@IEEE Big Data 2025</a> </li> </ul> <p>Authors are encouraged to select their preferred venue when submitting their papers. Please visit both workshop pages for more details and submission instructions.</p> <p>Papers accepted by MMAI@IEEE ICDM 2025 are also eligible for <strong>complimentary online presentation</strong> at MMAI@IEEE Big Data 2025 on Dec. 8, 2025.</p> <div style="text-align: center;"> <img src="/assets/img/MMAI_home_new.png" alt="MMAI Workshop Banner" style="max-width: 100%; height: auto;"> </div> <p>In conjunction with <a href="https://icdm2025.org/" rel="external nofollow noopener" target="_blank">IEEE ICDM</a>, the workshop will be held in person. Please see our <a href="https://icdmw25mmai.github.io/schedule/">schedule</a> for details.</p> <h3 id="about-multimodal-ai">About Multimodal AI</h3> <p><strong>Multimodality</strong> is the most general form for information representation and delivery in a real world. Using <strong>multimodal data</strong> is natural for humans to make accurate perceptions and decisions. Our digital world is actually multimodal, combining various data modalities, such as <strong>text, audio, images, videos, touch, depth, 3D, animations, biometrics, interactive content</strong>, etc. <strong>Multimodal data analytics</strong> algorithms often outperform single modal data analytics in many real-world problems.</p> <p><strong>Multi-sensor data fusion</strong> has also been a topic of great interest in industry nowadays. In particular, such companies working on <strong>automotive, drone vision, surveillance or robotics</strong> have grown exponentially. They are attempting to automate processes by using a wide variety of control signals from various sources.</p> <p>With the rapid development of <strong>Big Data</strong> technology and its remarkable applications to many fields, <strong>multimodal Artificial Intelligence (AI)</strong> for Big Data is a timely topic. This workshop aims to generate momentum around this topic of growing interest, and to encourage interdisciplinary interaction and collaboration between <strong>Natural Language Processing (NLP), computer vision, audio processing, machine learning, multimedia, robotics, Human-Computer Interaction (HCI), social computing, cybersecurity, cloud computing, edge computing, Internet of Things (IoT), and geospatial computing</strong> communities. It serves as a forum to bring together active researchers and practitioners from academia and industry to share their recent advances in this promising area.</p> <h3 id="topics">Topics</h3> <p>This is an open call for papers, which solicits original contributions considering recent findings in theory, methodologies, and applications in the field of <strong>multimodal AI and Big Data</strong>. The list of topics includes, but not limited to:</p> <ul> <li> <strong>Multimodal representations</strong> (language, vision, audio, touch, depth, etc.)</li> <li><strong>Multimodal data modeling</strong></li> <li><strong>Multimodal data fusion</strong></li> <li><strong>Multimodal learning</strong></li> <li><strong>Cross-modal learning</strong></li> <li><strong>Multimodal big data analytics and visualization</strong></li> <li><strong>Multimodal scene understanding</strong></li> <li><strong>Multimodal perception and interaction</strong></li> <li><strong>Multimodal information tracking, retrieval and identification</strong></li> <li><strong>

3Multimodal big data infrastructure and management</strong></li> <li><strong>Multimodal benchmark datasets and evaluations</strong></li> <li> <strong>Multimodal AI in robotics</strong> (robotic vision, NLP in robotics, Human-Robot Interaction (HRI), etc.)</li> <li><strong>Multimodal object detection, classification, recognition, and segmentation</strong></li> <li> <strong>Multimodal AI safety</strong> (explainability, interpretability, trustworthiness, etc.)</li> <li><strong>Multimodal Biometrics</strong></li> <li> <strong>Multimodal applications</strong> (autonomous driving, cybersecurity, smart cities, intelligent transportation systems, industrial inspection, medical diagnosis, healthcare, social media, arts, etc.)</li> </ul> <p><strong>Important Dates:</strong></p> <ul> <li>Short paper submission: <del><strong>Monday, September 01, 2025</strong></del> <del><strong>Monday, September 08, 2025</strong></del> <strong>Wednesday, September 17, 2025</strong> </li> <li>Poster paper submission: <del><strong>Monday, September 08, 2025</strong></del> <del><strong>Monday, September 15, 2025</strong></del> <strong>Wednesday, September 17, 2025</strong> </li> <li>Notification to authors: <strong>Friday, September 19, 2025</strong> </li> <li>Camera-ready of Accepted Papers: <del><strong>Thursday, September 25, 2025</strong></del> <strong>Sunday, October 5, 2025</strong> </li> </ul> <p>Checkout our <a href="https://icdmw25mmai.github.io/cfp/">CFP</a> for additional details.</p> <h3 id="organizers">Organizers</h3> <ul> <li> <a href="https://kaichunf.github.io/" rel="external nofollow noopener" target="_blank">Kaiqun Fu</a>, South Dakota State University</li> <li> <a href="https://mason.gmu.edu/~dliao2/" rel="external nofollow noopener" target="_blank">Duoduo Liao</a>, George Mason University</li> <li> <a href="">Yanjia Zhang</a>, Baptist Health South Florida</li> </ul> <h3 id="pc-members">PC Members</h3> <ul> <li> <a href="">Zhiqian Chen</a>, Mississippi State University, USA</li> <li> <a href="">Naresh Erukulla</a>, Macy’s Inc., USA</li> <li> <a href="">Maryam Heidari</a>, George Mason University, USA</li> <li> <a href="">Fanchun Jin</a>, Google Inc., USA</li> <li> <a href="">Achin Kulshrestha</a>, Google Inc., USA</li> <li> <a href="">Ge Jin</a>, Purdue University, USA</li> <li> <a href="">Ashwin Kannan</a>, Amazon, USA</li> <li> <a href="">Kevin Lybarger</a>, George Mason University, USA</li> <li> <a href="">Abhimanyu Mukerji</a>, Amazon, USA</li> <li> <a href="">Chen Shen</a>, Google Inc., USA</li> <li> <a href="">Arpit Sood</a>, Meta, USA</li> <li> <a href="">Gregory Joseph Stein</a>, George Mason University, USA</li> <li> <a href="">Alex Wong</a>, Yale University, USA</li> <li> <a href="">Marcos Zampieri</a>, George Mason University, USA</li> </ul> </article> </div> </div> <footer class="fixed-bottom" role="contentinfo"> <div class="container mt-0"> © Copyright 2025 You R. Name. Powered by <a href="https://jekyllrb.com/" target="_blank" rel="external nofollow noopener">Jekyll</a> with <a href="https://github.com/alshedivat/al-folio" rel="external nofollow noopener" target="_blank">al-folio</a> theme. Hosted by <a href="https://pages.github.com/" target="_blank" rel="external nofollow noopener">GitHub Pages</a>. Photos from <a href="https://unsplash.com" target="_blank" rel="external nofollow noopener">Unsplash</a>. </div> </footer> 

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