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  <NewsItem contentIssues="false" id="157004" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/157004">
    <Title>UMBC Students Build AI Chatbot for myUMBC</Title>
    <Tagline>Project for IS 636: Structured Systems Analysis and Design</Tagline>
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      <![CDATA[
          <div class="html-content">Three <a href="https://informationsystems.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Information Systems</strong></a> students, <a href="https://www.linkedin.com/in/pavithra-gottipati-8b0b351b9/" rel="nofollow external" class="bo"><strong>Pavithra Gottipati</strong></a>, <a href="https://www.linkedin.com/in/andrew-meiller-00a881331/" rel="nofollow external" class="bo"><strong>Andrew Meiller</strong></a>, and <a href="https://www.linkedin.com/in/sakshi-jaju-98071820b/" rel="nofollow external" class="bo"><strong>Sakshi Jaju</strong></a> teamed up in <a href="https://informationsystems.umbc.edu/home/graduate-programs/graduate-course-listing/is-636-structured-systems-analysis-and-design-credits-3/" rel="nofollow external" class="bo"><strong>IS 636 – Structured Systems Analysis and Design</strong></a>, taught by IS Professor <strong><a href="https://informationsystems.umbc.edu/home/faculty-and-staff/new-faculty-spotlights/lei-zhang-2/" rel="nofollow external" class="bo"><strong>Lei Zhang</strong></a><a href="https://est.umbc.edu/leizhang/" rel="nofollow external" class="bo">,</a></strong> to design and prototype an AI-powered chatbot for the myUMBC portal. Their project focused on improving how undergraduate and graduate students find answers to questions and get support about campus services. <div><br></div><div>Their chatbot supports topics including billing, financial services, library resources, career services, and IT support; integrates with myUMBC Help/Request Tracker and Student Business Services; and includes analytics, monitoring, and administrative tools. They used a <a href="https://en.wikipedia.org/wiki/Retrieval-augmented_generation" rel="nofollow external" class="bo"><strong>Retrieval-Augmented Generation</strong></a> (RAG) approach with<div><ul><li>A sentence transformer model retrieves the closest frequently asked question (FAQ) using <a href="https://en.wikipedia.org/wiki/Embedding_(machine_learning)" rel="nofollow external" class="bo"><strong>vector embeddings</strong></a></li><li>A Microsoft <a href="https://huggingface.co/microsoft/Phi-3-mini-128k-instruct" rel="nofollow external" class="bo"><strong>Phi-3 Mini Instruct LLM</strong></a><strong> </strong>system to generate fallback responses when no close match is found in the FAQ</li><li>Secure NLP/LLM hosting, integrated knowledge base, and API connectivity within the UMBC ecosystem</li></ul><div>This post is adapted from text in a <a href="https://www.instagram.com/p/DVRrTwED25S/" rel="nofollow external" class="bo">student spotlight</a> on the IS department's <a href="https://www.instagram.com/umbc_is/" rel="nofollow external" class="bo">Instagram feed</a>. You can read more about the students and their project in a post on the IS department's website <a href="https://informationsystems.umbc.edu/building-an-ai-chatbot-for-myumbc/" rel="nofollow external" class="bo"><strong>here</strong></a>.</div></div></div></div>
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    <Summary>Three UMBC Information Systems students, Pavithra Gottipati, Andrew Meiller, and Sakshi Jaju teamed up in IS 636 – Structured Systems Analysis and Design, taught by IS Professor Lei Zhang, to...</Summary>
    <Website>https://informationsystems.umbc.edu/building-an-ai-chatbot-for-myumbc/</Website>
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    <PostedAt>Sat, 28 Feb 2026 11:06:52 -0500</PostedAt>
    <EditAt>Sun, 01 Mar 2026 18:11:02 -0500</EditAt>
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  <NewsItem contentIssues="false" id="155679" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/155679">
  <Title>AI4LL Ignite 2026 summer program</Title>
  <Tagline>Free online program for undergrad students interested in AI</Tagline>
  <Body>
    <![CDATA[
    <div class="html-content">Applications for the 2026 free <a href="https://ai-4-all.org/ai4all-ignite/" rel="nofollow external" class="bo">AI4ALL Ignite summer program</a> are now open.  It is a <strong>virtual career accelerator</strong> designed to prepare undergraduate students—particularly those from communities historically excluded from the tech industry—for professional roles in AI.<div><br></div><div>Over the summer, participants work in small teams to build a comprehensive <strong>AI portfolio project</strong> under the guidance of industry mentors, allowing them to apply technical skills to real-world problems. The program also provides career readiness training, including resume reviews, technical interview preparation, and direct networking opportunities with corporate recruiters.<div><div><br></div><div>In the program, which starts on <strong>May 12</strong> and ends on <strong>October 15</strong>, students will:</div><div><ul><li>Build an industry-relevant AI tech portfolio project with guidance from industry mentors</li><li>Learn Responsible AI through hands-on workshops and real-world discussions</li><li>Engage with industry professionals working at companies like OpenAI, Google, Capital One, and YouTube</li></ul><div>Get more information and apply <a href="https://ai-4-all.org/ai4all-ignite/" rel="nofollow external" class="bo"><strong>here</strong></a>. Early decision applications are due by <strong>March 9</strong> and the final application deadline is <strong>April 13</strong>.</div></div></div></div></div>
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  </Body>
  <Summary>Applications for the 2026 free AI4ALL Ignite summer program are now open.  It is a virtual career accelerator designed to prepare undergraduate students—particularly those from communities...</Summary>
  <Website>https://ai-4-all.org/ai4all-ignite/</Website>
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  <PostedAt>Wed, 14 Jan 2026 10:29:32 -0500</PostedAt>
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  <NewsItem contentIssues="true" id="147948" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/147948">
  <Title>UMBC PhD student recognized for research modeling hurricanes with machine learning</Title>
  <Body>
    <![CDATA[
    <div class="html-content"><span><p><span>Mechanical engineering Ph.D. student </span><span><a href="https://www.linkedin.com/in/badtanjil/" rel="nofollow external" class="bo">Md Badrul Hasan</a></span><span> received the </span><a href="https://www.aiaa.org/SciTech/call-for-content/call-for-papers/student-paper-competitions#fluid-dynamics" rel="nofollow external" class="bo"><span>2025 Professor Kirti “Karman” Ghia Memorial Award</span></a><span> from the American Institute of Aeronautics and Astronautics for his research modeling the fluid flow inside hurricanes with physics-informed machine learning. </span></p><p><span>The award recognizes an international graduate student in the U.S. who has developed an innovative approach to computational fluid dynamics, in which computers are used to analyze and predict how fluids flow, with applications in aerospace engineering, weather forecasting, and more. </span></p><p><span>Hasan and his UMBC mentors—</span><a href="https://me.umbc.edu/dr-meilin-yu/" rel="nofollow external" class="bo"><span>Meilin Yu</span></a><span>, mechanical engineering, and </span><a href="https://www.csee.umbc.edu/people/faculty/tim-oates/" rel="nofollow external" class="bo"><span>Tim Oates</span></a><span>, computer science and electrical engineering—looked at the layer of atmosphere in a hurricane that is directly above the ocean surface. Called the hurricane boundary layer, it is where turbulent flows bring heat and moisture from the water into the air, and it plays a crucial role in determining a hurricane’s intensity and track.</span></p><p><span>Hasan says he is grateful for the guidance of Professor Oates in selecting and understanding the machine learning models. “It was a great team effort between mechanical engineering and computer science—really productive and rewarding for both sides,” he says.</span></p><span>Read more about Hassan’s award in this </span><a href="https://umbc.edu/quick-posts/modeling-hurricanes-with-machine-learning/" rel="nofollow external" class="bo"><span>UMBC News post</span></a><span> by </span><a href="https://ucm.umbc.edu/our-team/person/xk56452/" rel="nofollow external" class="bo"><span>Catherine Meyers</span></a></span><div><br>
    <hr><a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a> </div></div>
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  </Body>
  <Summary>Mechanical engineering Ph.D. student Md Badrul Hasan received the 2025 Professor Kirti “Karman” Ghia Memorial Award from the American Institute of Aeronautics and Astronautics for his research...</Summary>
  <Website>https://umbc.edu/quick-posts/modeling-hurricanes-with-machine-learning/</Website>
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  <PostedAt>Sat, 08 Mar 2025 10:21:01 -0500</PostedAt>
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