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<NewsItem contentIssues="false" id="146824" important="false" status="posted" url="https://my3.my.umbc.edu/posts/146824">
<Title>PRIVATE ROOM AVAILABLE FOR Male or female</Title>
<Tagline>Spacious, Convenient, and Flexible Living Near UMBC!</Tagline>
<Body>
<![CDATA[
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    <h6>Permanent accomodation available for male or female in a 3bhk with one bath </h6>
    <h6>Accommodation Available – Master Bedroom in 3BHK </h6>
    <h6><br></h6>
    <h6>We have one  bedroom available in a 3BHK apartment starting February 2nd . The room can be rented as private accommodation, open to both male and female.  </h6>
    <h6><br></h6>
    <h6>Details:</h6>
    <h6>- Apartment Features:</h6>
    <h6>  - One full bath  </h6>
    <h6>  - In-unit laundry and dryer  </h6>
    <h6>  - Central heating and AC  </h6>
    <h6><br></h6>
    <h6>- Rent</h6>
    <h6>  - Private Room: $500/month + utilities  </h6>
    <h6>Security Deposit:</h6>
    <h6>  -   Private Room: $500</h6>
    <h6><br></h6>
    <h6>Location: </h6>
    <h6>  - Gloria Ave, Halethorpe, Maryland  </h6>
    <h6>  - 5 minutes' walk to UMBC  </h6>
    <h6>  - 2 minutes' walk to UMBC Transit  </h6>
    <h6>  - 10 minutes' walk to Weis, Dollar Tree, Walgreens, etc.  </h6>
    <h6><br></h6>
    <h6>Contact: For more information, reach out via WhatsApp only at</h6>
    <h6>+91-8897875572</h6>
    <h6> +91 79074 18784</h6>
    </div>
]]>
</Body>
<Summary>Permanent accomodation available for male or female in a 3bhk with one bath   Accommodation Available – Master Bedroom in 3BHK      We have one  bedroom available in a 3BHK apartment starting...</Summary>
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<NewsItem contentIssues="false" id="146819" important="false" status="posted" url="https://my3.my.umbc.edu/posts/146819">
<Title>TIAA will be on campus this Spring</Title>
<Tagline>Schedule your appointment now!</Tagline>
<Body>
<![CDATA[
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    <p>You can meet in-person with a TIAA rep to discuss your retirement outlook and any questions you may have. It’s at no additional cost and included as a part of your retirement benefits. </p>
    <p>You can discuss these questions and more:</p>
    <ul><li>Am I invested in the right mix of investments to help meet my goals?</li></ul>
    <ul><li>Am I saving enough to create the retirement income I need?</li></ul>
    <ul><li>How do I take income from my retirement account after I stop working?</li></ul>
    <div>
    <div><div><br></div></div>
    <div>
    <p>Please use this link to <a href="http://tiaa.org/schedulenow" rel="nofollow external" class="bo">schedule an in-person meeting</a> with our dedicated TIAA rep, Ms. Jahleel Gordon, or call the TIAA Customer Service Center at <strong>1-800-732-8353. </strong></p>
    <div><br></div>
    <div>
    <p>TIAA in-person dates: </p>
    <ul>
    <li><strong>Thursday, February 6th</strong></li>
    <li><strong>Thursday, March 27th</strong></li>
    </ul>
    </div>
    <div><br></div>
    <div><br></div>
    <div>The one-on-one meetings are held in the HRSTM Conference Room, Administration Building, Room 529. </div>
    <div><br></div>
    <div><em>Can't make it in-person? Virtual meetings are also available with additional appointment times. </em></div>
    </div>
    <div><em><br></em></div>
    <div>Don't miss out! Schedule your appointment now: <a href="https://www.tiaa.org/public/login/schedule-meeting">https://www.tiaa.org/public/login/schedule-meeting</a>
    </div>
    <div><br></div>
    <div><br></div>
    <div><br></div>
    </div>
    </div>
]]>
</Body>
<Summary>You can meet in-person with a TIAA rep to discuss your retirement outlook and any questions you may have. It’s at no additional cost and included as a part of your retirement benefits.   You can...</Summary>
<Website>http://tiaa.org/schedulenow</Website>
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<NewsItem contentIssues="true" id="146818" important="false" status="posted" url="https://my3.my.umbc.edu/posts/146818">
<Title>UMBC Quantum Science Institute holds kickoff meeting</Title>
<Tagline>Includes faculty &amp; students from CSEE &amp; 3 other departments</Tagline>
<Body>
<![CDATA[
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    <img src="https://www.csee.umbc.edu/wp-content/uploads/sites/659/2025/01/QSI-logo-1.png" style="max-width: 100%; height: auto;"><div>UMBC's new <a href="https://qsi.umbc.edu/" rel="nofollow external" class="bo"><strong>Quantum Science Institute</strong></a> (QSI) held its kickoff meeting today. It includes faculty and students from four departments: CSEE, Information Systems, Mathematics &amp; Statistics, and Physics. It will pursue science-first approach to quantum technology development by emphasizing cutting-edge research and preparing a diverse, quantum-ready workforce.</div>
    <div><br></div>
    <div><img src="https://www.csee.umbc.edu/wp-content/uploads/sites/659/2025/01/1738093675886.jpeg" style="max-width: 100%; height: auto;"></div>
    <div><br></div>
    <div>The twelve CSEE faculty that are part of QSI are Nick Allgood, Rajasekhar Anguluri, Gary Carter, Richard Chang, John Dorband, Milton Halem, Anupam Joshi, Sam Lomonaco, Curtis Menyuk, Alioune Niang, Alan Sherman, Ergun Simsek, and Mohamed Younis.</div>
    </div>
]]>
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<Summary>UMBC's new Quantum Science Institute (QSI) held its kickoff meeting today. It includes faculty and students from four departments: CSEE, Information Systems, Mathematics &amp; Statistics, and...</Summary>
<Website>https://qsi.umbc.edu/</Website>
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<EditAt>Tue, 28 Jan 2025 18:09:27 -0500</EditAt>
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<NewsItem contentIssues="false" id="146817" important="false" status="posted" url="https://my3.my.umbc.edu/posts/146817">
<Title>PRIVATE ROOM AVAILABLE FOR Male or female</Title>
<Tagline>Spacious, Convenient, and Flexible Living Near UMBC!</Tagline>
<Body>
<![CDATA[
    <div class="html-content">
    <h6>Permanent accomodation available for male or female in a 3bhk with one bath </h6>
    <h6>Accommodation Available – Master Bedroom in 3BHK </h6>
    <h6><br></h6>
    <h6>We have one  bedroom available in a 3BHK apartment starting February 2nd . The room can be rented as private accommodation, open to both male and female.  </h6>
    <h6><br></h6>
    <h6>Details:</h6>
    <h6>- Apartment Features:</h6>
    <h6>  - One full bath  </h6>
    <h6>  - In-unit laundry and dryer  </h6>
    <h6>  - Central heating and AC  </h6>
    <h6><br></h6>
    <h6>- Rent</h6>
    <h6>  - Private Room: $500/month + utilities  </h6>
    <h6>Security Deposit:</h6>
    <h6>  -   Private Room: $500</h6>
    <h6><br></h6>
    <h6>Location: </h6>
    <h6>  - Gloria Ave, Halethorpe, Maryland  </h6>
    <h6>  - 5 minutes' walk to UMBC  </h6>
    <h6>  - 2 minutes' walk to UMBC Transit  </h6>
    <h6>  - 10 minutes' walk to Weis, Dollar Tree, Walgreens, etc.  </h6>
    <h6><br></h6>
    <h6>Contact: For more information, reach out via WhatsApp only at</h6>
    <h6>+91-8897875572</h6>
    <h6> +91 79074 18784</h6>
    </div>
]]>
</Body>
<Summary>Permanent accomodation available for male or female in a 3bhk with one bath   Accommodation Available – Master Bedroom in 3BHK      We have one  bedroom available in a 3BHK apartment starting...</Summary>
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<PostedAt>Tue, 28 Jan 2025 16:42:12 -0500</PostedAt>
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<NewsItem contentIssues="false" id="146815" important="false" status="posted" url="https://my3.my.umbc.edu/posts/146815">
<Title>How to Prepare a Social Science/Humanities Literature Review</Title>
<Tagline>Monday, February 24th at noon</Tagline>
<Body>
<![CDATA[
    <div class="html-content">
    <div><span>All are welcome!</span></div>
    <div>
    <div><div><span><a href="https://my3.my.umbc.edu/groups/library/events/137456/join_meeting" rel="nofollow external" class="bo"><strong>Join Online Event</strong></a></span></div></div>
    <hr>
    <div></div>
    <div>
    <div><span><p><span>What are some of the best strategies and tips for writing a literature review? Whether you are just starting out with your research or have been involved in your project for a while, this workshop is for you. </span></p>
    <p><span>Note: This workshop is being offered in a hyflex modality, so feel free to join either in person in Library 259, or online via WebEx. </span></p>
    <p><em><a href="https://my3.my.umbc.edu/groups/library/events/137456" rel="nofollow external" class="bo">***reposted from the AOK Library &amp; Gallery***</a></em></p>
    <hr>
    <br></span></div>
    <div>See the attached flyer for more library workshops being offered this semester! </div>
    </div>
    </div>
    </div>
]]>
</Body>
<Summary>All are welcome!    Join Online Event       What are some of the best strategies and tips for writing a literature review? Whether you are just starting out with your research or have been...</Summary>
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<PostedAt>Tue, 28 Jan 2025 16:13:31 -0500</PostedAt>
<EditAt>Wed, 29 Jan 2025 13:32:02 -0500</EditAt>
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<NewsItem contentIssues="true" id="146814" important="false" status="posted" url="https://my3.my.umbc.edu/posts/146814">
<Title>Chai Chats with Meghna!</Title>
<Tagline>Spring Dates!</Tagline>
<Body>
<![CDATA[
    <div class="html-content"><span><p>Are you a South Asian student looking for a place to connect, share stories, and build new friendships? Look no further! Join Meghna and your fellow students at Chai Chats, a welcoming space where you can enjoy a free cup of chai while engaging in meaningful conversations.</p>
    <p><br></p>
    <p>Whether you’re sharing your own experiences or listening to others, this is a fantastic opportunity to build a community, celebrate your culture, and make new connections. Don't miss out on this chance to unwind, meet new people, and create memorable moments together.</p>
    <p><br></p>
    <p><br></p>
    <p><strong><u>Date and Time: Drop by on the following days</u></strong></p>
    <p>Find us in Commons 329:</p>
    <p><strong>•</strong>Friday, February 21, 12-1:30pm</p>
    <p><strong>•</strong>Monday, March 3, 4-5:30pm</p>
    <p><strong>•</strong>Tuesday, March 25, 1-2:30pm</p>
    <p><br></p>
    <p>Find us in Commons 329:</p>
    <p><strong>•</strong>Friday, April 11 12-1:30pm</p>
    <p><strong>•</strong>Monday, April 21 12:30-2pm</p>
    <p><strong>•</strong>Friday, May 9 12-2pm</p>
    <p><br></p>
    <p><br></p>
    <p><span><br></span></p>
    <p><span><span><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXfu1Oc12G0cLl6JYDgLOOHbrJmi-CQFs0wPwpv7A-BI062D7WokWKfO_cU6rkJcECACYCfoTkD6XT32CbwzhkJBMERSZAaA18_FidLyyppSW8gXURLM25xe0l51RMvA1Hwus8wk?key=KrGqCdh7owTq0dotLzjFyA" width="499" height="646" style="max-width: 100%; height: auto;"></span></span></p>
    <p><br></p>
    <p><em>This event is open for full participation by all individuals regardless of race, color, religion, sex, national origin, or any other protected category under applicable federal law, state law, and the University's</em> <a href="https://ecr.umbc.edu/discrimination-policy/" rel="nofollow external" class="bo"><span><em>nondiscrimination policy</em></span></a><em>.</em><span> </span></p></span></div>
]]>
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<Summary>Are you a South Asian student looking for a place to connect, share stories, and build new friendships? Look no further! Join Meghna and your fellow students at Chai Chats, a welcoming space where...</Summary>
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<NewsItem contentIssues="true" id="146623" important="true" status="posted" url="https://my3.my.umbc.edu/posts/146623">
<Title>Dresher Center Spring 2025 Fellows</Title>
<Body>
<![CDATA[
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    <div>For the spring semester, three fellows will join us in the Dresher Center.</div>
    <div><br></div>
    <div>
    <strong>Lindsay DiCuirci</strong>, Associate Professor in English, will work on an interdisciplinary study of the relationship between spiritualism, print culture and attempts at radical social reform between 1840 and 1870. DiCuirci is interested in moments of cooperation between spiritualists and reformist groups, but as my use of “phantasms” conveys, the dream of harmonia was often disrupted by entrenched biases that even a movement committed to egalitarianism could not shed.<br>
    </div>
    <div><br></div>
    <div>
    <strong>Meredith Oyen</strong>, Associate Professor in History, is studying the history of U.S. and China diplomatic relations. The current relationship is presently very tense due to changing leadership in both nations, alongside the pandemic, a trade war, and the perennial issue of Taiwan. Her book project offers a new narrative that highlights person-to-person contact as much as high level diplomacy, centering primary sources to give insight into both countries’ perspectives.<br>
    </div>
    <div><br></div>
    <div>
    <strong>Kristin Kelly</strong>, a Ph.D. candidate in Language, Literacy, and Culture, is conducting a research project that aims to understand how Black women educators and Black girls collaborate, drawing on their spirituality and imagination to inform the ways they understand and navigate oppressive and harmful systems. Kelly also aims to uncover how Black women mentors help Black girls reimagine education and their futures, especially in classrooms that often do not represent their experiences but center on Eurocentric ways of teaching and exhibit gender inequality.<br><div><br></div>
    <div>Please join us in congratulating these fellows!<br>
    </div>
    </div>
    </div>
]]>
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<Summary>For the spring semester, three fellows will join us in the Dresher Center.     Lindsay DiCuirci, Associate Professor in English, will work on an interdisciplinary study of the relationship between...</Summary>
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<NewsItem contentIssues="false" id="146813" important="false" status="posted" url="https://my3.my.umbc.edu/posts/146813">
<Title>Mechanical engineering Ph.D. student Md Badrul Hasan recognized for research modeling hurricanes with machine learning</Title>
<Body>
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    <p>Mechanical engineering Ph.D. student <strong>Md Badrul Hasan</strong> has received the <a href="https://www.aiaa.org/SciTech/call-for-content/call-for-papers/student-paper-competitions#fluid-dynamics" rel="nofollow external" class="bo">2025 Professor Kirti “Karman” Ghia Memorial Award</a> from the American Institute of Aeronautics and Astronautics (AIAA), for his research modeling the fluid flow inside hurricanes with physics-informed machine learning. </p>
    
    
    
    <p>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. Hasan, who is from Bangladesh, is the inaugural recipient of the award. His research explores new ways to improve the modeling of energy flow in hurricanes.</p>
    
    
    
    <h4>Machine learning for better weather forecasting</h4>
    
    
    
    <p>Hasan and his UMBC mentors—<strong><a href="https://me.umbc.edu/dr-meilin-yu/" rel="nofollow external" class="bo">Meilin Yu</a></strong>, mechanical engineering, and <strong><a href="https://www.csee.umbc.edu/people/faculty/tim-oates/" rel="nofollow external" class="bo">Tim Oates</a></strong>, 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.</p>
    
    
    
    <p>Traditional modeling of this layer fails to account for ways that energy within the smaller eddies in a flowing fluid can feed back into larger scale eddies. Hasan, Yu, and Oates explored how physics-informed machine learning models—which analyze large datasets to spot patterns—could better capture this phenomenon. Ultimately, they are looking to integrate their machine learning models into larger physics-based hurricane simulations to improve the simulations’ accuracy.</p>
    
    
    
    <img width="1200" height="698" src="https://umbc.edu/wp-content/uploads/2025/01/Hurricane-Humberto-1-1200x698.jpg" alt="Satellite shows spinning hurricane off U.S. southeast coast." style="max-width: 100%; height: auto;">Hurricane Humberto, as captured by a NOAA satellite Sept. 15, 2019. (Image credit: NOAA Satellites)
    
    
    
    <p>“This work sets up the cornerstone of our ongoing research towards more accurate numerical simulation of hurricane boundary layer flows at the scale of tens to hundreds of miles,” says Yu. “It is also a key step in our renewable energy research, where improving offshore wind farms’ resiliency to tropical storms is our ultimate goal as mechanical engineers. Badrul’s hard work pays off, and we are very proud of him.”</p>
    
    
    
    <p>Hasan accepted the award for his work at the 2025 AIAA SciTech Forum, held in early January in Orlando, Florida, where he also presented his research. He says that while the community is filled with many researchers specializing in the traditional physics-based simulations, there is more and more interest in machine learning. </p>
    
    
    
    <p>Hasan says he is grateful for the guidance of Tim Oates, from the computer science and electrical engineering department, in selecting and understanding the machine learning models. </p>
    
    
    
    <p>“It was a great team effort between mechanical engineering and computer science—really productive and rewarding for both sides,” he says.</p>
    
    
    
    </div>
]]>
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<Summary>Mechanical engineering Ph.D. student Md Badrul Hasan has received the 2025 Professor Kirti “Karman” Ghia Memorial Award from the American Institute of Aeronautics and Astronautics (AIAA), for his...</Summary>
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<NewsItem contentIssues="false" id="146811" important="false" status="posted" url="https://my3.my.umbc.edu/posts/146811">
<Title>PRIVATE ROOM AVAILABLE FOR Male or female</Title>
<Tagline>Spacious, Convenient, and Flexible Living Near UMBC!</Tagline>
<Body>
<![CDATA[
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    <h6>Permanent accomodation available for male or female in a 3bhk with one bath </h6>
    <h6>Accommodation Available – Master Bedroom in 3BHK </h6>
    <h6><br></h6>
    <h6>We have one  bedroom available in a 3BHK apartment starting February 2nd . The room can be rented as private accommodation, open to both male and female.  </h6>
    <h6><br></h6>
    <h6>Details:</h6>
    <h6>- Apartment Features:</h6>
    <h6>  - One full bath  </h6>
    <h6>  - In-unit laundry and dryer  </h6>
    <h6>  - Central heating and AC  </h6>
    <h6><br></h6>
    <h6>- Rent</h6>
    <h6>  - Private Room: $500/month + utilities  </h6>
    <h6>Security Deposit:</h6>
    <h6>  -   Private Room: $500</h6>
    <h6><br></h6>
    <h6>Location: </h6>
    <h6>  - Gloria Ave, Halethorpe, Maryland  </h6>
    <h6>  - 5 minutes' walk to UMBC  </h6>
    <h6>  - 2 minutes' walk to UMBC Transit  </h6>
    <h6>  - 10 minutes' walk to Weis, Dollar Tree, Walgreens, etc.  </h6>
    <h6><br></h6>
    <h6>Contact: For more information, reach out via WhatsApp only at</h6>
    <h6>+91-8897875572</h6>
    <h6> +91 79074 18784</h6>
    </div>
]]>
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<Summary>Permanent accomodation available for male or female in a 3bhk with one bath   Accommodation Available – Master Bedroom in 3BHK      We have one  bedroom available in a 3BHK apartment starting...</Summary>
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<NewsItem contentIssues="true" id="146810" important="false" status="posted" url="https://my3.my.umbc.edu/posts/146810">
<Title>Francis Nji successfully defends his PhD Proposal</Title>
<Tagline>Congratulatoins Francis!</Tagline>
<Body>
<![CDATA[
    <div class="html-content">
    <div>Francis Nji, iHARP Research Assistant successfully defended his PhD Proposal on Monday, January 27, 2025. Join <a href="https://www.linkedin.com/company/80301570/admin/page-posts/published/?share=true#" rel="nofollow external" class="bo">iHARP</a> in congratulating Francis on his successful PhD Proposal defense! </div>
    <div><br></div>
    <div><strong>Title</strong></div>
    <div><div>Accurate Clustering of Multi-dimensional Multivariate Spatiotemporal data</div></div>
    <div><strong><br></strong></div>
    <div><strong>Committee</strong></div>
    <ul>
    <li>Dr Jianwu Wang  - Advisor and Committee Chair (UMBC/ iHARP)</li>
    <li>Dr Vandana Janeja - Co-advisor and Committee Member (UMBC/ iHARP)</li>
    <li>Dr Aneesh Subramanian - Committee Member (UC-Boulder / iHARP)</li>
    <li>Dr James Foulds - Committee Member (UMBC)</li>
    <li>Dr Yiqun Xie - Committee Member (UMD)</li>
    </ul>
    <div>
    <strong>Abstract</strong><br>
    </div>The growing availability of multivariate spatiotemporal data, which 
    includes datasets containing both spatial and temporal dimensions across
     multiple variables, presents significant opportunities for extracting 
    insights into complex environmental systems, societal trends, and 
    dynamic processes in fields such as environmental monitoring, urban 
    planning, traffic management, transportation, social media analysis, 
    epidemiology, climatology, crime analysis and disaster management where 
    understanding the interactions between spatial locations and their 
    evolution over time is crucial for decision-making. Proper analysis of 
    these datasets enable researchers to understand interactions and 
    patterns that evolve over time and space, facilitating advancements in 
    predictive modeling, causal analysis, and decision-making for addressing
     global challenges like climate change, resource management, and public 
    health crises. One of such analytical approaches to extract meaningful 
    insights from this data is clustering. Clustering is the process of 
    grouping data with similar spatial attributes, temporal attributes, or 
    both, from which many significant events and regular phenomena can be 
    discovered. However, clustering this data is highly challenging due to 
    the complexities involved in accounting for both spatial autocorrelation
     and temporal dependencies, as well as the high dimensionality of 
    multivariate data. To tackle these challenges, this dissertation 
    presents three innovative approaches aimed at accurately partitioning 
    complex multivariate spatiotemporal data such that similar points are 
    grouped together and dissimilar points are segregated. Each proposed 
    model is designed to capture the nuanced spatial and temporal 
    relationships inherent in the data, while enhancing clustering 
    performance and stability. By leveraging advanced traditional and deep 
    learning techniques, the proposed models provide robust solutions for 
    managing the complexities of spatiotemporal datasets, resulting in more 
    accurate, stable and interpretable clustering outcomes.<br><br>The first
     proposed model, Hybrid Ensemble Deep Graph Temporal Clustering 
    (HEDGTC), integrates homogeneous and heterogeneous ensemble clustering 
    techniques in an attempt to harness their individual strengths while 
    mitigating their weaknesses. HEDGTC further employs a dual-consensus 
    approach to address noise and misclassification that might result from 
    base clusters. To obtain the desired clusters, HEDGTC employs a deep 
    graph attention autoencoder network which simultaneously updates the 
    clustering loss and reconstruction loss to improve the clustering 
    results in terms of performance and stability. When compared with 
    existing state-of-the-art ensemble models, HEDGTC outperforms with 
    significant margins proving capable to capture implicit temporal 
    patterns and provides consistent results when tested on real-world 
    multivariate spatiotemporal datasets. Although HEDGTC outperforms 
    existing ensemble algorithms, it has its limitations. Real-world 
    multivariate spatiotemporal data is truly complex and can be 
    characterized by non-linearity: variables may exhibit nonlinear 
    interdependencies, localized patterns: clusters may form in specific 
    regions of space, time, or feature combinations, irrelevant dimensions: 
    datasets often contain redundant information, or irrelevant variables 
    and overlapping clusters: a single data point can belong to different 
    clusters. In such cases, HEDGTC might have a hard time to deal with this
     dependencies therefore the need to develop advanced algorithms that, 
    unlike HEDGTC which rely on global features to perform clustering, will 
    include local feature subspaces and the capability to capture underlying
     structures in data with both spatial and temporal dimensions.<br><br>To
     address the limitations of HEDGTC, we propose a novel Attention-Guided 
    Deep Temporal Subspace Clustering (A-DATSC) for multivariate 
    spatiotemporal data. A-DATSC incorporates a deep subspace clustering 
    generator and a quality-verifying discriminator that work in tandem. 
    Inspired by the recent success of the U-Net architecture, the generator 
    combines CNN-RNN-attention mechanisms in an autoencoder to capture 
    spatial, temporal and salient representations respectively present in 
    multivariate spatiotemporal data. The autoencoder is equipped with a 
    fully connected GNN-based self-expressive network that extracts the 
    weights of the latent features into a coefficient matrix and a 
    clustering layer that performs clustering through the optimization of 
    the reconstruction loss, self-expressive loss and clustering loss in a 
    iterative manner. The discriminator evaluates current clustering 
    performance by inspecting whether the re-sampled data from estimated 
    subspaces have consistent subspace properties, and supervises the 
    generator to progressively improve subspace clustering. Experimental 
    results on three real-world multivariate spatiotemporal data demonstrate
     the advantages of A-DATSC over shallow and few deep subspace clustering
     models. <br><br>In recent years, research on clustering analysis has 
    largely focused on improving accuracy and efficiency, often at the cost 
    of interpretability. Geospatial clustering of multivariate 
    spatiotemporal data plays a critical role in analyzing complex spatial 
    patterns for applications such as urban planning, mobility analysis, and
     climate monitoring. However, the interpretability of clustering results
     remains a significant challenge due to the "black-box" nature of 
    clustering algorithms and the inherent complexity of multivariate 
    spatiotemporal data. Ensuring interpretability is essential for 
    fostering trust, meeting ethical standards, and complying with 
    regulatory requirements, as clustering-derived decisions must be 
    transparent and justifiable. To address these challenges, we propose a 
    novel end-to-end Interpretable Causal Clustering (ICC) model for high 
    dimensional multivariate spatiotemporal data. ICC employs a 
    causal-discovery feature engineering pre-clustering and a causal 
    inference in-clustering phase. Pre-clustering is achieved through an 
    ensemble of causal discovery methods to prioritize causally significant 
    features, enhanced by spatial modeling and sparsity regularization to 
    focus on relevant features. In-clustering is achieved through a U-Net 
    Autoencoder architecture with stacked GATv2 layers for capturing spatial
     dependencies and ConvLSTM for temporal modeling. ICC integrates a 
    Probabilistic Discriminative Model (PDM) at the latent encoding layer to
     further enhance the encoding of causally significant features, ensuring
     that the latent representations respect causal constraints. ICC 
    incorporates Dynamic Bayesian Networks as a causal inference technique 
    to ensure that the clustering process respects causal dependencies. To 
    improve clustering results, ICC introduces a causal regularization loss 
    term that penalizes clusters that violate causal constraints. To further
     enhance interpretability, ICC introduces Counterfactual reasoning that 
    seeks to validate clusters for causal consistency and maps them onto 
    geospatial and temporal causal graphs. This further tests the validity 
    of the clusters if they reflect true causal relationships. ICC mitigates
     confounding effects by explicitly modeling confounders which reduces 
    noise and spurious correlations. Experimental results demonstrate that 
    ICC significantly enhances interpretability and accuracy in geospatial 
    clustering, offering actionable insights into the dynamics of 
    multivariate spatiotemporal climate data. We plan to evaluate our 
    approach on a suite of synthetic and real world clustering problems, and
     compare across state of the art interpretable and non-interpretable 
    clustering algorithms.<br>
    </div>
]]>
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<Summary>Francis Nji, iHARP Research Assistant successfully defended his PhD Proposal on Monday, January 27, 2025. Join iHARP in congratulating Francis on his successful PhD Proposal defense!      Title...</Summary>
<Website>https://iharp.umbc.edu/</Website>
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<PostedAt>Tue, 28 Jan 2025 14:01:56 -0500</PostedAt>
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