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<NewsItem contentIssues="false" id="150434" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/150434">
<Title>NSF BRAIN (June 5-6) and AccelNet (June 6-8) meetings at UMBC</Title>
<Body>
<![CDATA[
    <div class="html-content"><span><span>UMBC will host the in-person annual meeting of the NSF IUCRC BRAIN Industry Advisory Board on June 5-6. Its</span><span> members include universities leading cutting-edge research in neurotechnologies by partnering with industry. This will be followed by the NSF AccelNet international network of networks meeting (June 6-8) to discuss research collaboration initiatives, including brain-computer interfaces, tools, and infrastructure for understanding and promoting brain health and next-generation AI (large brain models). </span></span><div><span><span><br></span></span></div><div><span><span>Register and get more information, including the agendas, </span><a href="https://docs.google.com/forms/d/14z9vDtysb1w9lwXOdUCbwUZgeAax8nN-8mwk5KZxhnY/viewform?edit_requested=true" rel="nofollow external" class="bo"><span>here</span></a><span>.</span></span></div></div>
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<Summary>UMBC will host the in-person annual meeting of the NSF IUCRC BRAIN Industry Advisory Board on June 5-6. Its members include universities leading cutting-edge research in neurotechnologies by...</Summary>
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<Sponsor>UMBC BRAIN site</Sponsor>
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<ThumbnailAltText>NSF BRAIN IUCRC image</ThumbnailAltText>
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<PostedAt>Wed, 28 May 2025 11:43:46 -0400</PostedAt>
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<NewsItem contentIssues="true" id="144920" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/144920">
<Title>UMBC faculty receive NSF award for digitial twins to study neurodegenerative diseases</Title>
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<![CDATA[
    <div class="html-content"><div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/10/nsf_dt.webp" style="max-width: 100%; height: auto;"></div><span><div><span><br></span></div><div><span>UMBC Professors <a href="http://ansuchatterjee.com/" rel="nofollow external" class="bo">Ansu Chatterjee,</a> <a href="https://karuna.informationsystems.umbc.edu/" rel="nofollow external" class="bo">Karuna Joshi,</a> and <a href="https://userpages.umbc.edu/~abiswas/" rel="nofollow external" class="bo">Animikh Biswas</a> received an NSF award to study the use of digital twins to diagnose, treat, and increase the understanding of neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, and multiple sclerosis. </span></div><div><span><br></span></div><div><span><a href="https://en.wikipedia.org/wiki/Digital_twin" rel="nofollow external" class="bo">Digital twin </a>models can leverage the exponential growth of biomedical data and AI and data science techniques and provide new insights into these diseases and their treatment and prevention. The three-year award, Aspects of Digital Twin Studies for Neuroimages, will provide almost $900k in funding. </span></div><div><span><br></span></div><div><span>Read more about this award on <a rel="nofollow external" class="bo">NSF </a>and <a href="https://umbc.edu/stories/digital-twinning-nsf-study/" rel="nofollow external" class="bo">UMBC News</a>.</span></div></span><div><div><span></span></div></div> <hr><a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a></div>
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<Summary>UMBC Professors Ansu Chatterjee, Karuna Joshi, and Animikh Biswas received an NSF award to study the use of digital twins to diagnose, treat, and increase the understanding of neurodegenerative...</Summary>
<Website>https://umbc.edu/stories/digital-twinning-nsf-study/</Website>
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<PostedAt>Sat, 19 Oct 2024 12:03:22 -0400</PostedAt>
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<NewsItem contentIssues="true" id="142914" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/142914">
<Title>Prof. Lujie Karen Chen wins wins 5-year NSF Career award</Title>
<Tagline>Focus: undergraduate data science &amp; data literacy education</Tagline>
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<![CDATA[
    <div class="html-content"><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/07/Karen-Chen-CAREER.jpg" style="max-width: 100%; height: auto;"><div><br></div><div><div>UMBC Information Systems Professor <a href="https://flourish.umbc.edu/karen-chen/" rel="nofollow external" class="bo"><strong>Lujie Karen Chen</strong></a> recently won an NSF CAREER award that puts students at the center of learning analytics—not just as subjects who supply data, but also as the designers of analytical tools and users of the insights they provide. Her five-year project, <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2339674" rel="nofollow external" class="bo"><strong>Teaching to Empower with Learning Analytics for College Students by College Students</strong></a>, will explore an innovative approach to empower students to become productive users and creators of learning analytics, tools that use educational data to enhance learning.</div><div><br></div><div>Chen’s <a href="https://flourish.umbc.edu/" rel="nofollow external" class="bo"><strong>Lab for Informatics for Human Flourishing</strong></a> is dedicated to using data to improve people’s lives. Education is a key pathway to advance human flourishing, Chen says, and she looks forward to improving student learning experiences and outcomes through her CAREER award project.</div><div><br></div><div>Read more about Professor Chen, her research and the NSF award in this <a href="https://umbc.edu/stories/karen-chen-nsf-career-award-student-data/" rel="nofollow external" class="bo"><strong>UMBC News article</strong></a>. </div></div><div><br></div>
    <hr><a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a></div>
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<Summary>UMBC Information Systems Professor Lujie Karen Chen recently won an NSF CAREER award that puts students at the center of learning analytics—not just as subjects who supply data, but also as the...</Summary>
<Website>https://umbc.edu/stories/karen-chen-nsf-career-award-student-data/</Website>
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<PostedAt>Wed, 24 Jul 2024 11:37:49 -0400</PostedAt>
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<NewsItem contentIssues="true" id="140050" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/140050">
<Title>Prof. Vinjamuri receives NSF IUCRC Phase II award</Title>
<Tagline>Supports UMBC's partnership in the BRAIN Center</Tagline>
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<![CDATA[
    <div class="html-content"><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2023/07/Conversation-Vinjamuri-lab.jpg" style="max-width: 100%; height: auto;"><div><br></div><div><div>UMBC CSEE Professor <strong><a href="https://www.csee.umbc.edu/ramana-vinjamuri/" rel="nofollow external" class="bo">Ramana Vinjamuri</a></strong> received a new <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2333292" rel="nofollow external" class="bo"><strong>NSF IUCRC Phase II award</strong></a> to support participation as a partner in <a href="null" rel="nofollow external" class="bo"><strong>BRAIN</strong></a>, the Building Reliable Advances and Innovations in Neurotechnologies Industry-University Cooperative Research Center.</div><div><br></div><div>BRAIN's overall goal is to develop and validate new technologies that address the needs of physically and neurologically impaired individuals and those of the growing aging population. </div><div><br></div><div>Research in <a href="https://vinjamurilab.cs.umbc.edu/" rel="nofollow external" class="bo"><strong>Dr. Vinjamuri's lab</strong></a> complements existing strengths in other BRAIN sites and expands research into new areas, including artificial intelligence, neural imaging and stimulation, cyber-human systems, human-centered computing, neural signal processing, and virtual/augmented/mixed reality.</div></div><div><br></div><div>NSF funds Industry–University Cooperative Research Centers like BRAIN to conduct joint research with innovative industry partners.</div></div>
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<Summary>UMBC CSEE Professor Ramana Vinjamuri received a new NSF IUCRC Phase II award to support participation as a partner in BRAIN, the Building Reliable Advances and Innovations in Neurotechnologies...</Summary>
<Website>https://vinjamurilab.cs.umbc.edu/</Website>
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<PostedAt>Tue, 19 Mar 2024 13:28:48 -0400</PostedAt>
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<NewsItem contentIssues="true" id="139003" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/139003">
<Title>NSF National Artificial Intelligence Research Resource Pilot</Title>
<Tagline>Connecting U.S. researchers and educators to AI resources</Tagline>
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<![CDATA[
    <div class="html-content"><div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/02/nairr_header2.png" style="max-width: 100%; height: auto;"></div><div><br></div><div><span>The NSF launched the <strong><a href="https://new.nsf.gov/focus-areas/artificial-intelligence/nairr" rel="nofollow external" class="bo">National Artificial Intelligence Research Resource Pilot</a></strong> on January 25. Its goal is to connect U.S. researchers and educators to computational, data, and training resources needed to advance AI research and research that employs AI. Federal agencies are collaborating with partners to implement the Pilot as a preparatory step toward an eventual full NAIRR implementation.</span></div><div><br></div><div>The NAIRR effort currently has several items relevant to the AI community:</div><div><ul><li><strong><a href="https://idaorg.gov1.qualtrics.com/jfe/form/SV_cRMnkUFJoXs7UfI" rel="nofollow external" class="bo">Survey on Researcher and Educator Use Cases</a></strong><span> for the NAIRR. NSF invites researchers, faculty, and both graduate and undergraduate students who are struggling to access GPUs, data resources, know-how, and expertise to fill out this survey, which will inform directions for the pilot and demonstrate the need for the full NAIRR.   </span></li><li>The first open call for NAIRR Pilot resources can be found on the <strong><a href="http://nairrpilot.org/" rel="nofollow external" class="bo">nairrpilot.org</a></strong>. It targets a few NSF and DOE high-performance computing systems and testbeds and is focused on supporting safe, secure, and trustworthy AI research.</li><li>A <a href="https://new.nsf.gov/events/nairr-pilot-webinar" rel="nofollow external" class="bo"><strong>webinar on the NAIRR Pilot</strong></a> will be held on Wednesday, February 21 at 3:00-4:30pm ET via zoom. The webinar will include a Q&amp;A period with attendees.</li></ul></div><div>Here are additional information and links:</div><div><ul><li><span><strong><a href="https://new.nsf.gov/focus-areas/artificial-intelligence/nairr/" rel="nofollow external" class="bo">NAIRR Pilot webpage</a></strong> hosted by NSF</span></li><li>The <a rel="nofollow external" class="bo"><strong>NAIRR Pilot portal </strong></a>provides the research and education community information on the latest NAIRR Pilot opportunities and usable resources.</li><li><strong><a href="https://new.nsf.gov/news/democratizing-future-ai-rd-nsf-launch-national-ai?auHash=IjZsFGqQHd0-1VVQYDhfQTxqCA3sgu6IpfhlK01W6Xc" rel="nofollow external" class="bo">NSF NAIRR press release</a></strong></li><li>Join the NAIRR Pilot announcements mailing by sending an email message to <a href="mailto:nairr_pilot_announcements-subscribe-request@listserv.nsf.gov" rel="nofollow external" class="bo"><strong>nairr_pilot_announcements-subscribe-request@listserv.nsf.gov</strong></a></li><li>Send questions about the NAIRR pilot to <strong><a href="mailto:nairr_pilot@nsf.gov" rel="nofollow external" class="bo">nairr_pilot@nsf.gov</a></strong></li></ul></div></div>
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<Summary>The NSF launched the National Artificial Intelligence Research Resource Pilot on January 25. Its goal is to connect U.S. researchers and educators to computational, data, and training resources...</Summary>
<Website>https://new.nsf.gov/focus-areas/artificial-intelligence/nairr/</Website>
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<NewsItem contentIssues="true" id="138842" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/138842">
<Title>Prof. Cynthia Matuszek to chair NSF Robotics PI meeting</Title>
<Tagline>To be held in Baltimore, 28-30 April 2024</Tagline>
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<![CDATA[
    <div class="html-content"><div><br></div><div><p><span>UMBC Professor </span><a href="https://redirect.cs.umbc.edu/~cmat/" rel="nofollow external" class="bo"><strong>Cynthia Matuszek</strong></a><span> is the PI on a <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2414547" rel="nofollow external" class="bo"><strong>new award</strong></a> from the National Science Foundation to support the 2024 joint Principal Investigator Meeting for NSF's two research programs on </span><a href="https://www.nsf.gov/eng/robotics.jsp" rel="nofollow external" class="bo"><strong>robotics and related areas</strong></a><span>, National Robotics Initiative (NRI) and Foundational Research in Robotics (FRR). Professor </span><a href="https://www.mae.ncsu.edu/people/jyin8/" rel="nofollow external" class="bo"><strong>Jie Yin</strong></a><span> from North Carolina State University is the grant Co-Principal investigator. Dr.  Matuszek will chair the meeting, which will take place in downtown Baltimore, Maryland, on 28-30 April 2024. </span></p><p><span>The meeting will serve as a conference bringing together a community of robotics researchers whose work is specifically relevant to the NRI and </span><a href="https://new.nsf.gov/funding/opportunities/foundational-research-robotics-frr" rel="nofollow external" class="bo">FRR</a><span> programs. The agenda includes talks from selected projects, poster sessions, workshops, panel discussions, multiple keynote talks, a diversity-focused event, and Federal agency program updates from leaders in the research community. This meeting will also support the participation of a cohort of potential future proposers to the FRR program. </span></p><p><span>The annual PI Meeting for the NSF FRR and NRI research communities enables investigators to meet and share their research and best practices, discuss new research opportunities, explore new ideas and partnerships, and interact with Federal agency representatives, industry, and other stakeholders interested in NSF robotics research.</span></p></div></div>
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<Summary>UMBC Professor Cynthia Matuszek is the PI on a new award from the National Science Foundation to support the 2024 joint Principal Investigator Meeting for NSF's two research programs on robotics...</Summary>
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<NewsItem contentIssues="true" id="134529" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/134529">
<Title>Sanjay Purushotham wins NSF CAREER award for AI &amp; healthcare</Title>
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<![CDATA[
    <div class="html-content"><div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2023/08/Sanjay-Purushotham-top-resized.jpg" style="max-width: 100%; height: auto;"></div><strong><div><strong><br></strong></div>Harnessing AI to improve healthcare: Sanjay Purushotham wins $590,000+ NSF CAREER award</strong><div><strong><br></strong></div><div><div>Today, a plethora of technologies, from image recognition tools to chatbots, are powered by machine learning. A key component to the technique's success is data -- and lots of it. For doctors and hospitals who hope to use machine learning to improve healthcare, that need for copious data presents a problem: medical data is protected by privacy laws and often exists in incomplete or diverse forms -- from doctor's notes to medical scans -- that make it difficult for machine learning models to use it effectively.</div><div><br></div><div>"Using data better to aid medical decisions is a grand challenge of the 21st century," says <a href="https://sanjayp.is.umbc.edu/" rel="nofollow external" class="bo"><strong>Sanjay Purushotham</strong></a>, an assistant professor in information systems at UMBC. "We need innovations in existing techniques to take full advantage of artificial intelligence in healthcare."</div><div><br></div><div>Together with his students, Purushotham is tackling that challenge. He recently received a prestigious NSF CAREER award to support his team's efforts to develop new ways to train health-focused machine learning models. </div><div><br></div><div>Purushotham has been contributing his expertise in computer science to <span>collaborations with doctors and hospitals for almost ten years. The </span><strong><a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2238743&amp;HistoricalAwards=false" rel="nofollow external" class="bo">NSF CAREER award</a> </strong><span>will help Purushotham further that research in a new </span><span>direction, and ultimately, his team hopes their work will improve </span><span>medical treatments and reduce costs, benefiting patients around the </span><span>world</span></div><div><br></div><div>Read more about his research in this <strong><a href="https://umbc.edu/stories/ai-to-improve-healthcare/" rel="nofollow external" class="bo">UMBC News article</a>.</strong> </div><div>.</div></div></div>
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<Summary>Harnessing AI to improve healthcare: Sanjay Purushotham wins $590,000+ NSF CAREER award     Today, a plethora of technologies, from image recognition tools to chatbots, are powered by machine...</Summary>
<Website>https://umbc.edu/stories/ai-to-improve-healthcare/</Website>
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<PostedAt>Fri, 04 Aug 2023 19:01:34 -0400</PostedAt>
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