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soumyadutta-cse · Jan 2, 2025 · ef33f07 · ef33f07
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diff --git a/_pages/group.md b/_pages/group.md
@@ -95,10 +95,13 @@ html {
 </div> -->
 
 1. <b>Shanu Saklani</b> <br>
-Research Theme: Efficient, Interpretable, and Uncertainty-Aware Deep Learning Methods for Visual Computing of Big Data
+Research Theme: Deep Learning Methods for Analysis and Visual Computing of Big Data
 
 2. <b>Sankhadeep Bhowmick</b> <br>
-Research Theme: Efficient, Interpretable, and Uncertainty-Aware Deep Learning Methods for Visual Computing of Big Data
+Research Theme: Deep Learning Methods for Analysis and Visual Computing of Big Data
+
+3. <b>Ananya Chaturvedi</b> <br>
+Research Theme: Deep Learning Methods for Analysis and Visual Computing of Big Data
 
 
 <!-- <h2 style="text-align:left">MSR Students</h2>

diff --git a/_pages/publications.md b/_pages/publications.md
@@ -44,7 +44,7 @@ td {
       <td width="23%;" valign="top">
       <img style="height:100px" src="/images/UQ_DL_Vis_Workshop.png"/> </td>
       <td width="100%;" style="font-size:11pt;" align="justify" valign="top"> <strong>[W7]</strong> Shanu Saklani, Chitwan Goel, Shrey Bansal, Zhe Wang, <b>Soumya Dutta</b>, Tushar M. Athawale, David Pugmire, Christopher R. Johnson, Uncertainty-Informed Volume Visualization using Implicit Neural Representation, <em> IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks (in conjunction with IEEE VIS)</em>, 2024.
-      [Link] [<a href="/papers/DL_uncert_volren_VIS_uncertainty_workshop.pdf">Pdf</a>] [BibTex] [Accepted] 
+      [<a href="https://ieeexplore.ieee.org/document/10750137">Link</a>] [<a href="/papers/DL_uncert_volren_VIS_uncertainty_workshop.pdf">Pdf</a>] [BibTex] [Accepted] 
       <details>
         <summary><b><span style="color:blue">Abstract</span></b></summary>
         <p>

diff --git a/_pages/services.md b/_pages/services.md
@@ -30,12 +30,12 @@ author_profile: true
 ## International Program Committee (IPC) Member
 
 
-14. IEEE Visualization Full Papers (2022-24)
+14. IEEE Visualization Full Papers (IEEE VIS 2022-24)
 13. EG/VGTC Conference on Visualization (EuroVis 2023-2025)
 12. IEEE HiPC 2024
 11. IEEE Cluster 2024
 10. International Conference on High Performance Computing, Data, and Analytics (HiPC 2023)
-9. IEEE Pacific Visualization (PacificVis 2021-23, 2024 (TVCG Track))
+9. IEEE Pacific Visualization (PacificVis 2021-23, 2024 (TVCG Track), 2025 (Conference Track))
 8. EuroGraphics Symposium on Parallel Graphics and Visualization (EGPGV 2021-22)
 7. IEEE Symposium on Large Data Analysis and Visualization (LDAV 2019, 2021-23)
 6. Visualization in Environmental Sciences Workshop (EnvirVis 2019)
@@ -79,6 +79,7 @@ author_profile: true
 
 ## PhD Comprehensive and SOTA Examination Committee Member (IITK)
 
+7. Priya
 6. Harshit Goel
 5. Avinab Anand
 4. Sarbajit Ghosh

diff --git a/_pages/teaching.md b/_pages/teaching.md
@@ -6,19 +6,12 @@ author_profile: true
 ---
 
 
-## <span style="color:red"> Upcoming Semester: 2024-25-II: </span>
+## <span style="color:red"> Current Semester: 2024-25-II: </span>
 
 ## CS661 - Big Data Visual Analytics
 
 For more details and list of topics that will be covered, please check the past course section at the bottom of this page.
 
-## <span style="color:red"> Current Semester: 2024-25-I: </span>
-
-## CS360 - Introduction to Computer Graphics
-
-## CS677 - Topics in Large Data Analysis and Visualization
-(This course is jointly offered with Prof. Preeti Malakar)
-
 
 ## <span style="color:red"> Past Courses: </span>