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  <NewsItem contentIssues="false" id="158005" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/158005">
  <Title>UMBC student Caly Ferguson receives NBSE "25 Under 25" award</Title>
  <Tagline>Recognized for his robotics research and NBSE service</Tagline>
  <Body>
    <![CDATA[
    <div class="html-content"><p>UMBC mechanical engineering senior and Meyerhoff Scholar <a href="https://www.linkedin.com/in/caly-ferguson/" rel="nofollow external" class="bo">Caly Ferguson</a> was selected for the <a href="https://nsbe.org/" rel="nofollow external" class="bo">National Society of Black Engineers</a> (NSBE) "25 Under 25" award in March 2026 based on his research and service. The award specifically recognizes young professionals and students who demonstrate outstanding leadership, innovation, and community advancement.</p>
    <p>Since his freshman year, Ferguson has been conducting research in CSEE Professor <a href="https://vinjamurilab.cs.umbc.edu/" rel="nofollow external" class="bo">Ramana Vinjamuri's lab,</a> where he is helping to develop a prosthetic forearm and hand that uses machine learning to interpret electrical nerve signals from the arm and translate them into specific movements. Caly served as the finance chair of the <a href="https://nsbe.umbc.edu/" rel="nofollow external" class="bo">UMBC NSBE chapter</a> and became its president at the beginning of the 2025-2026 academic year.</p>
    <p>Read more <a href="https://umbc.edu/quick-posts/ferguson-nsbe-25-under-25/" rel="nofollow external" class="bo">here</a>.</p></div>
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  <Summary>UMBC mechanical engineering senior and Meyerhoff Scholar Caly Ferguson was selected for the National Society of Black Engineers (NSBE) "25 Under 25" award in March 2026 based on his research and...</Summary>
  <Website>https://umbc.edu/quick-posts/ferguson-nsbe-25-under-25/</Website>
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  <Tag>25under25</Tag>
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  <Tag>robotics</Tag>
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  <PostedAt>Mon, 30 Mar 2026 19:14:37 -0400</PostedAt>
  <EditAt>Tue, 31 Mar 2026 11:42:57 -0400</EditAt>
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  <NewsItem contentIssues="false" id="156027" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/156027">
  <Title>UMBC physicist wins Amazon award for AI-orchestrated scientific assistant</Title>
  <Tagline>Physics Co-Pilot to be an AI assistant for physics research</Tagline>
  <Body>
    <![CDATA[
    <div class="html-content"><p><a href="https://physics.umbc.edu/faculty/anza/" rel="nofollow external" class="bo">Fabio Anza</a>, an assistant professor in UMBC's <a href="https://physics.umbc.edu/" rel="nofollow external" class="bo">Department of Physics</a>, <a href="https://qsi.umbc.edu/" rel="nofollow external" class="bo">Quantum Science Institute</a> and <a href="https://cybersecurity.umbc.edu/" rel="nofollow external" class="bo">Cybersecurity Institute</a>, has won an Amazon Research Award to develop <a href="https://www.amazon.science/research-awards/recipients/fabio-anza" rel="nofollow external" class="bo">Physics Co-Pilot</a>—a scientific AI assistant that combines large language model orchestration with reliable computational algorithms to address critical bottlenecks in modern physics research.<br>Physics Co-Pilot takes a fundamentally different approach from current AI code generation systems. Rather than having language models write code—which can produce unreliable results—the system uses LLMs only for natural language understanding, while delegating all computational work to pre-written, validated algorithms.<br>Read more about his award and project <a href="https://umbc.edu/quick-posts/anza-ai-orchestrated-scientific-assistant/" rel="nofollow external" class="bo">here</a>.</p></div>
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  <Summary>Fabio Anza, an assistant professor in UMBC's Department of Physics, Quantum Science Institute and Cybersecurity Institute, has won an Amazon Research Award to develop Physics Co-Pilot—a scientific...</Summary>
  <Website>https://umbc.edu/quick-posts/anza-ai-orchestrated-scientific-assistant/</Website>
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  <PostedAt>Fri, 30 Jan 2026 09:52:54 -0500</PostedAt>
  <EditAt>Tue, 31 Mar 2026 17:15:16 -0400</EditAt>
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  <NewsItem contentIssues="false" id="154557" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/154557">
    <Title>UMBC Professor Tyler Josephson chosen as Simons Foundation Pivot Fellow</Title>
    <Tagline>Leads AI &amp; Theory-Oriented Molecular Science Lab</Tagline>
    <Body>
      <![CDATA[
          <div class="html-content"><p>UMBC CBEE professor <a href="https://cbee.umbc.edu/josephson/" rel="nofollow external" class="bo">Tyler Josephson</a> was selected as a 2025 Pivot Fellow by the <a href="https://www.simonsfoundation.org/" rel="nofollow external" class="bo">Simons Foundation</a>.  At UMBC, Prof. Josephson leads the <a href="https://atomslab.github.io/" rel="nofollow external" class="bo">AI &amp; Theory-Oriented Molecular Science Lab</a> (ATOMS), which develops computational methods for molecular simulation and automated discovery of scientific theories. </p><p>Techniques used in the ATOMS Lab include quantum chemistry, Monte Carlo, symbolic regression, and formal theorem proving using Lean. His research is currently supported by the NSF and the DoD, including an NSF CAREER Award for "<a href="https://www.nsf.gov/awardsearch/show-award/?AWD_ID=2236769&amp;HistoricalAwards=false" rel="nofollow external" class="bo">Automated Reasoning to Advance Chemical Theory</a>" and an Army HBCU/MSI Early Career Award for "Simulation methods for reactive adsorption of emerging water pollutants."</p><p>The Simons Foundation <a href="https://www.simonsfoundation.org/simons-pivot-fellowship/?mc_cid=d0bea2e060&amp;mc_eid=UNIQID&amp;swcfpc=1" rel="nofollow external" class="bo">Pivot Fellowship</a> is open to faculty in the natural sciences, mathematics, engineering, data science, and computer science at academic institutions or equivalent positions elsewhere. Fellows receive salary support, as well as funding for research, travel, and professional development. At the end of their fellowship year, they are invited to apply for a research award of up to $1.5 million over three years. Read more about the <a href="https://www.simonsfoundation.org/2025/11/13/simons-foundation-announces-fourth-class-of-pivot-fellows/" rel="nofollow external" class="bo">2025 Pivot Fellows</a>.</p><div><br></div></div>
      ]]>
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    <Summary>UMBC CBEE professor Tyler Josephson was selected as a 2025 Pivot Fellow by the Simons Foundation.  At UMBC, Prof. Josephson leads the AI &amp; Theory-Oriented Molecular Science Lab (ATOMS), which...</Summary>
    <Website>https://www.simonsfoundation.org/2025/11/13/simons-foundation-announces-fourth-class-of-pivot-fellows/</Website>
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    <PostedAt>Fri, 14 Nov 2025 12:14:02 -0500</PostedAt>
    <EditAt>Fri, 14 Nov 2025 12:21:50 -0500</EditAt>
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  <NewsItem contentIssues="false" id="153469" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/153469">
  <Title>Eric Stokan receives USM professorship to promote AI equity for students and faculty</Title>
  <Body>
    <![CDATA[
    <div class="html-content">UMBC Professor <a href="https://www.ericjstokan.com/" rel="nofollow external" class="bo">Eric Stokan</a>, director of the <a href="https://socialscience.umbc.edu/" rel="nofollow external" class="bo">Center for Social Science Scholarship</a>, has been awarded the <a href="https://umbc.edu/stories/eric-stokan-usm-professorship-ai-access/" rel="nofollow external" class="bo">Elkins Professorship for Academic Transformation</a> to address the significant barrier that prevents many in the social sciences from using powerful tools like AI and open-source software. Although these technologies have revolutionary potential, they often require advanced skills or expensive software, limiting their impact. <div><br></div><div>Stokan's work, supported by the University System of Maryland award, aims to bridge this gap by creating scalable, modular training in computational social science and generative AI, making the tools more accessible for faculty and students in teaching, research, and public impact projects.</div><div><br></div><div>The funding also supports the design and implementation of <a href="https://my3.my.umbc.edu/groups/csss/posts/151756" rel="nofollow external" class="bo">five hands-on training modules and workshops</a> tailored for faculty, students, and community organizations. Participants will learn to use generative AI systems like ChatGPT with simple programs written in <a href="https://en.wikipedia.org/wiki/R_(programming_language)" rel="nofollow external" class="bo">R</a>. The goal is to help them answer novel and important research questions, develop marketable technical skills, work more effectively with data, and better communicate the results of their analyses with the broader community.<br><div><br></div><div>Read more about Professor Stokan's work and award in this <a href="https://umbc.edu/stories/eric-stokan-usm-professorship-ai-access/" rel="nofollow external" class="bo">UMBC News article</a>.</div></div></div>
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  <Summary>UMBC Professor Eric Stokan, director of the Center for Social Science Scholarship, has been awarded the Elkins Professorship for Academic Transformation to address the significant barrier that...</Summary>
  <Website>https://umbc.edu/stories/eric-stokan-usm-professorship-ai-access/</Website>
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  <NewsItem contentIssues="false" id="151128" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/151128">
  <Title>UMBC Prof. Yasmine Kotturi chosen for CRA Trustworthy AI Research Fellowship</Title>
  <Body>
    <![CDATA[
    <div class="html-content"><span><p><span>UMBC Information Systems professor <a href="https://ykotturi.github.io/" rel="nofollow external" class="bo"><strong>Yasmine Kotturi</strong></a> was one of the researchers selected in the Computing Research Association’s (<a href="https://cra.org/" rel="nofollow external" class="bo"><strong>CRA</strong></a>) new <a href="https://cra.org/cra-and-microsoft-announce-inaugural-cohort-of-cra-trustworthy-ai-research-fellows/" rel="nofollow external" class="bo"><strong>Trustworthy AI Research fellowship program</strong></a> which is sponsored by Microsoft. This new fellowship supports computing researchers with interdisciplinary training in the social sciences who are working to integrate ethical, societal, and human-centered considerations into the development of AI. </span></p><p><span>Over the coming year, the fellows will engage in interdisciplinary training and collaboration, contribute to the development of a national Trustworthy AI lexicon and framework, and help lead initiatives at CRA partner institutions.  </span></p><p><span><a href="https://hcc.umbc.edu/people/faculty/yasmine-kotturi-phd/" rel="nofollow external" class="bo"><strong>Professor Kotturi</strong></a> designs and builds sociotechnical systems that support worker resilience, especially among those navigating precarious employment and entrepreneurship. Her work combines human-computer interaction with insights from labor studies and feminist theory to develop relational, community-driven approaches—such as community-based software engineering—that shift power in how AI systems are developed and used.</span></p><div><span><br></span></div></span></div>
]]>
  </Body>
  <Summary>UMBC Information Systems professor Yasmine Kotturi was one of the researchers selected in the Computing Research Association’s (CRA) new Trustworthy AI Research fellowship program which is...</Summary>
  <Website>https://cra.org/cra-and-microsoft-announce-inaugural-cohort-of-cra-trustworthy-ai-research-fellows/</Website>
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  <PostedAt>Wed, 23 Jul 2025 10:28:39 -0400</PostedAt>
  <EditAt>Wed, 23 Jul 2025 10:32:47 -0400</EditAt>
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  <NewsItem contentIssues="false" id="150423" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/150423">
  <Title>UMBC researchers partner with UMB to advance healthcare systems with AI</Title>
  <Body>
    <![CDATA[
    <div class="html-content"><p><span>UMBC CSEE professors</span> <a href="https://my3.my.umbc.edu/groups/csee/posts/150404/a6c/faa4115ddc93a4748d0d566fc85b53f4/web/link?link=https%3A%2F%2Fwww.csee.umbc.edu%2Fpeople%2Ffaculty%2Fkonstantinos-kalpakis%2F" rel="nofollow external" class="bo"><span>Konstantinos Kalpakis</span></a> and <a href="https://my3.my.umbc.edu/groups/csee/posts/150404/a6c/9e74017603098bb53d95a2633026605d/web/link?link=https%3A%2F%2Fwww.csee.umbc.edu%2Fdong-li%2F" rel="nofollow external" class="bo"><span>Dong Li</span></a> received research funding from the <a href="https://my3.my.umbc.edu/groups/csee/posts/150404/a6c/20fc4d034108e6a41154b843f39212f2/web/link?link=https%3A%2F%2Fwww.umaryland.edu%2Fictr%2Ffunding%2Fictr-pilot-grant-awardee-news%2F" rel="nofollow external" class="bo"><span>University of Maryland, Baltimore’s Institute for Clinical and Translational Research</span></a><span> to collaborate with UMB partners to develop innovative healthcare technology.</span></p><p><span>Professor Kalpakis and his colleagues are developing a new approach to help trauma physicians make better-informed treatment decisions quickly. The team is working on a machine-learning framework that can help ER doctors predict medical outcomes, such as which patients will experience severe complications from trauma and what their blood transfusion needs may be.</span></p><p><span>Professor Li's work will </span>use AI technology to develop a reliable method to monitor blood pressure on a smartphone outfitted with ultrasound sensors to measure blood flow and using the built-in microphone to record heart sounds. The partnership with UMB will allow the team to conduct clinical trials, with both healthy individuals and those with hypertension, to rigorously evaluate the system’s accuracy and effectiveness.</p><span>Read more about their awards and projects </span><a href="https://my3.my.umbc.edu/groups/csee/posts/150404/a6c/4d42c50f32be0aec702d596f8433d466/web/link?link=https%3A%2F%2Fumbc.edu%2Fquick-posts%2Fumbc-researchers-partner-with-umb-to-advance-healthcare-technology%2F" rel="nofollow external" class="bo"><span>here</span></a><span>.</span></div>
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  <Summary>UMBC CSEE professors Konstantinos Kalpakis and Dong Li received research funding from the University of Maryland, Baltimore’s Institute for Clinical and Translational Research to collaborate with...</Summary>
  <Website>https://my3.my.umbc.edu/groups/csee/posts/150404/a6c/4d42c50f32be0aec702d596f8433d466/web/link?link=https%3A%2F%2Fumbc.edu%2Fquick-posts%2Fumbc-researchers-partner-with-umb-to-advance-healthcare-technology%2F</Website>
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  <ThumbnailAltText>Dong Li (right) and graduate student Riishav Guptaa demonstrate how smart phone blood pressure monitoring may work.</ThumbnailAltText>
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  <PostedAt>Tue, 27 May 2025 14:21:29 -0400</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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  <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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  <NewsItem contentIssues="true" id="141989" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/141989">
  <Title>Prof. Adali honored as UMBC Presidential Research Professor</Title>
  <Tagline>Leads Machine Learning for Signal Processing Laboratory</Tagline>
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    <div class="html-content"><div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/05/UMBC_PRP_2024_2.jpg" style="max-width: 100%; height: auto;"></div><div><p><span><br></span></p><p><span>Every year, UMBC honors a faculty member with the Presidential Research Professor Award. CSEE professor <a href="https://www.csee.umbc.edu/people/faculty/tulay-adali/" rel="nofollow external" class="bo"><strong>Tülay Adali</strong></a> was selected this year as UMBC's Presidential Research Professor for 2024-2027.</span></p><p><span>Professor Adali received the Ph.D. in electrical engineering from North Carolina State University, Raleigh, NC, in 1992 and joined the UMBC’s faculty the same year.  In 2015, she was named a Distinguished University Professor in recognition of her </span><span>outstanding contributions to statistical signal processing and machine learning and excellence in teaching and mentoring the next generation of engineers and scholars who continue to advance the field of signal processing and machine learning.</span></p><p><span>Dr. Adali's commitment to her professional community is evident in her diverse roles and responsibilities. She currently serves as Editor-in-Chief of the prestigious IEEE Signal Processing Magazine and has held significant positions such as the Chair of the IEEE Brain Technical Community and the IEEE Signal Processing Society Vice President for Technical Directions from 2019 to 2022. Her professional involvement includes the organization of many conferences and workshops, including the IEEE International Conference on Acoustics, Speech, and Signal Processing, where she has served in various capacities.</span></p><p><span>Professor Adali is a Fellow of the IEEE, AIMBE, and AAIA, a Fulbright Scholar, and an IEEE SPS Distinguished Lecturer. She has received the SPS Meritorious Service Award, Humboldt Research Award, IEEE SPS Best Paper Award, the SPIE Unsupervised Learning and ICA Pioneer Award, the University System of Maryland Regents' Award for Research, and the NSF CAREER Award.</span></p><p><span>Her current research interests are in the areas of statistical signal processing, machine learning, and applications in medical image analysis and fusion.</span></p><p><span>Dr. Adali leads the <strong><a href="https://mlsp.umbc.edu/" rel="nofollow external" class="bo">Machine Learning for Signal Processing laboratory</a></strong>, and primarily with support from the NSF and the NIH, she and her research associates, research students, and network of collaborators develop theory and tools for processing signals that arise in today's growing array of applications and pose challenges for traditional signal processing techniques with a focus on medical image analysis and fusion.</span></p></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>Every year, UMBC honors a faculty member with the Presidential Research Professor Award. CSEE professor Tülay Adali was selected this year as UMBC's Presidential Research Professor for 2024-2027....</Summary>
  <Website>https://mlsp.umbc.edu/</Website>
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  <PostedAt>Tue, 14 May 2024 20:45:57 -0400</PostedAt>
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  <NewsItem contentIssues="true" id="140050" important="false" status="posted" url="https://dev.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>
    <EditAt>Mon, 25 Mar 2024 08:59:30 -0400</EditAt>
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