add paper and update profile

_pages/about.md

@@ -25,7 +25,7 @@ There are a few positions (currently no positions for B.Tech. students) availabl
 </span>
 </p> -->
 
-<h2> ** Open PhD/MS positions for ML/DL + Visual Computing Research ** </h2>
+<h2> ** Open PhD/MS positions for ML/DL + Visual Computing + Big Data + HPC Research ** </h2>
 
 <p>
 <span style="color:Chocolate">

_pages/gallery.md

@@ -30,7 +30,7 @@ td {
 </style>
 
 
-<h1 style="text-align:center"> Computer Graphics Techniques for 3D Rendering and Geometric Modeling </h1>
+<h1 style="text-align:center"> [Teaching] Computer Graphics Techniques for 3D Rendering and Geometric Modeling </h1>
 
 
 <div class="row">
@@ -51,7 +51,7 @@ td {
 &nbsp;
 
 
-<h1 style="text-align:center"> Selected Video Demos of Our Research </h1>
+<h1 style="text-align:center"> [Research] Selected Video Demos of Our Published Research </h1>
 
 
 

_pages/group.md

@@ -95,10 +95,10 @@ html {
 </div>
 
 
-<h2 style="text-align:left">MSR Students</h2>
+<!-- <h2 style="text-align:left">MSR Students</h2>
 
 1. <b>Indraneel Rajeevan | MSR CSE | Batch'26</b> <br>
-Topic: Understanding Loss Landscape of Neural Networks
+Topic: Understanding Loss Landscape of Neural Networks -->
 
 
 <h2 style="text-align:left">M.Tech. Students</h2>

_pages/publications.md

@@ -103,7 +103,7 @@ td {
       <td width="23%;" valign="top">
       <img style="height:100px" src="/images/juliacon.png"/> </td>
       <td width="100%;" style="font-size:11pt;" align="justify" valign="top"> <strong>[16]</strong> Li Tang, <b>Soumya Dutta</b>, Natalie Klein, Wayne Yu Wang, Jonathan David Wolfe, Luke Van Roekel, Nathan Urban, Ayan Biswas, and Earl Lawrence, Julia for HPC: In Situ Data Analysis with Julia for Climate Simulations at Large Scale, <em>Proceedings of JuliaCon</em>.
-      <b>[Under review]</b>
+      [Link] [<a href="/papers/juliaCon_ClimateAnalysis.pdf">Pdf</a>] [BibTex]
       <details>
         <summary><b><span style="color:blue">Abstract</span></b></summary>
         <p>

_pages/research.md

@@ -4,7 +4,7 @@ title: ""
 ---
 
 
-<h1 style="text-align:center"> Visual Computing and Data Science (VDS) Group </h1>
+<h1 style="text-align:center"> Intelligent Visual Computing and Big Data Science Research Group </h1>
 
 <div class="box"><p>
 <img class="map" src="/images/collage.png" width="100%;" align="left" style="margin: 0px 0px 0px 0px;"/>
@@ -29,11 +29,11 @@ title: ""
 
 
 <p>
-Welcome to the <u><b>V</b>isual Computing and <b>D</b>ata <b>S</b>cience (<b>VDS</b>) Group</u> at the <a href="https://www.iitk.ac.in">Indian Institute of Technology, Kanpur (IITK)</a>. We are part of the <a href="https://www.cse.iitk.ac.in/">Department of Computer Science and Engineering</a>. Our research lies at the unique intersection of <b>machine/deep learning, visual computing, visualization, big data, and high-performance computing</b>. We develop state-of-the-art data analytics, machine learning, and visualization techniques to accelerate data-driven discoveries in diverse application domains. Summarizing, extracting, and comprehending the crux from the vast seas of data and representing them visually and interactively in an interpretable manner is the broad-scale focus of our research.</p>
+Welcome to the Intelligent Visual Computing and Big Data Science Research Group at the <a href="https://www.iitk.ac.in">Indian Institute of Technology, Kanpur (IITK)</a>. We are part of the <a href="https://www.cse.iitk.ac.in/">Department of Computer Science and Engineering</a>. Our research lies at the unique intersection of <b>machine/deep learning, visual computing, visualization, big data, and high-performance computing</b>. We develop state-of-the-art data analytics, machine learning, and visualization and computer vision techniques to accelerate data-driven discoveries in diverse application domains. Summarizing, extracting, and comprehending the crux from the vast seas of data and representing them visually and interactively in an interpretable and scalable manner is the broad-scale focus of our research.</p>
 
-<p>To achieve our goal, we build data science and machine (deep) learning-based solutions to analyze large-scale multifaceted data in a scalable way, enabling interactive and interpretable analytics of complex data. We are also focused on developing techniques that make complex machine learning models more interpretable and explainable so that they can be trusted and effectively adopted in real-life applications. Our research addresses various big data characteristics, including its fundamental 5 Vs: <b>Volume, Velocity, Variety, Veracity, and Value</b>. We study extreme-scale data from scientific domains using machine learning and modern high-performance computing capabilities to advance research in various domains. We are also actively focused on building scalable and novel interactive visual analytics systems to analyze diverse data generated via social media, IoT, various sensors, engineering design, healthcare, and many other industry applications.</p></div>
+<p>To achieve our goal, we build machine (deep) learning and data science-based solutions to analyze large-scale multifaceted data in a scalable way, enabling interactive and interpretable analytics of complex data. We are also focused on developing techniques that make complex machine learning models more interpretable and explainable so that they can be trusted and effectively adopted in real-life applications. Our research addresses various big data characteristics, including its fundamental 5 Vs: <b>Volume, Velocity, Variety, Veracity, and Value</b>. We study extreme-scale data from scientific domains using machine learning and modern high-performance computing capabilities to advance research in various domains. We are also actively focused on building scalable and novel interactive visual analytics systems to analyze diverse data generated via social media, IoT, various sensors, engineering design, healthcare, and many other industry applications.</p></div>
 
-<h3 style="color:Chocolate"> Research Collaborators: </h3>
+<h3 style="color:Chocolate"> Current International Research Collaborators: </h3>
 1. [Dr. Ayan Acharya](https://aacharya-cs.github.io/) (Meta, USA)<br>
 2. [Dr. Tushar Athawale](https://tusharathawale.info/) (Oak Ridge National Laboratory, USA)<br>
 3. [Prof. Ko-Chih Wang](https://sites.google.com/view/kochihwang) (National Taiwan Normal University, Taiwan)<br>

_pages/services.md

@@ -7,12 +7,12 @@ author_profile: true
 
 ## Organizational Activities
 
-16. Program Co-chair (VIS track): 19th [International Symposium on Visual Computing (ISVC’24)](https://www.isvc.net/), Lake Tahoe, Nevada, USA (2024).
+16. Program Co-chair (VIS track): 19th [International Symposium on Visual Computing (ISVC’24)](https://www.isvc.net/index.php/organizing-committee/), Lake Tahoe, Nevada, USA (2024).
 15. Executive Team Member: South Asian Biodiversity Portal Project, India.
 14. Best Paper Committee: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization ([ISAV 2023](https://isav-workshop.github.io/2023/))
-13. Posters Co-chair: IEEE Symposium on Large Data Analysis and Visualization (LDAV 2023-24)
-12. Co-chair: IEEE Visualization Fast Forward and Video Previews (2023-24)
-11. Co-chair: [Visualization in Environmental Sciences](https://www.informatik.uni-leipzig.de/bsv/envirvis2022/) (EnvirVis 2020-24) (Co-located with EuroVis) 
+13. Posters Co-chair: [IEEE Symposium on Large Data Analysis and Visualization](https://ldav.io/2024/organization.html) (LDAV 2023-24)
+12. Co-chair: [IEEE Visualization Fast Forward and Video Previews](https://ieeevis.org/year/2024/info/committees/conference-committee) (2023-24)
+11. Co-chair: [Visualization in Environmental Sciences](https://www.informatik.uni-leipzig.de/bsv/envirvis2024/) (EnvirVis 2020-24) (Co-located with EuroVis) 
 10. Co-chair: [IEEE Visualization Application Spotlights](http://ieeevis.org/year/2022/info/call-participation/application-spotlights) (2021-22)
 9. Co-chair: [IEEE Visualization Open Practices](http://ieeevis.org/year/2022/info/open-practices/open-practices) (2019-20)
 8. Co-lead: [Data Science at Scale Summer School](https://dssschool.org/), Los Alamos National Laboratory (2020-22)