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_quarto.yml

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@@ -13,7 +13,7 @@ website:
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- href: teaching.qmd
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text: Teaching
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- href: https://sustainability-lab.github.io
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text: Lab (+Handbook)
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text: Research Group
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- href: blog
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text: Blog
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- href: files/cv.pdf
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html:
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theme:
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light: [litera, styles.scss]
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dark: [darkly, styles-dark.scss]
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#dark: [darkly, styles-dark.scss]
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highlight-style: a11y-dark
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mainfont: "Roboto"
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code-copy: true

group.qmd

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group_pics.qmd

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index.qmd

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image: images/nipun.jpg
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about:
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template: trestles
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image-width: 10em
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image-width: 12em
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image-shape: rounded
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links:
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- icon: twitter
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href: https://scholar.google.co.in/citations?user=rFGzHlIAAAAJ&hl=en
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---
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Nipun Batra is an Associate Professor in Computer Science at IIT Gandhinagar. He previously completed his postdoc from University of Virginia. He completed his PhD. from IIIT Delhi where he was a TCS PhD fellow. His group called the Sustainability Lab broadly works on machine learning and sensing for computational sustainability problems like smart buildings, air quality and wearable healthcare.
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<style>
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.lab-cta {
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background-color: #d1ecf1;
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border: 1px solid #bee5eb;
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border-radius: 8px;
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padding: 20px;
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margin: 25px 0;
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text-align: center;
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}
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His work has been awarded several awards, including, young alumni award from IIIT Delhi, the best PhD presentation at ACM Sensys, best demo at ACM Buildsys, and a best video nominee at ACM KDD.
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.lab-cta h4 {
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color: #0c5460;
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margin-bottom: 10px;
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}
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.lab-cta a {
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display: inline-block;
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background-color: #17a2b8;
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color: white;
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padding: 10px 20px;
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text-decoration: none;
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border-radius: 5px;
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margin: 5px 10px;
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font-weight: 500;
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}
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.lab-cta a:hover {
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background-color: #138496;
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text-decoration: none;
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}
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</style>
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Nipun Batra is an Associate Professor in [Computer Science](https://cs.iitgn.ac.in/) at [IIT Gandhinagar](https://iitgn.ac.in/), where he leads the [Sustainability Lab](https://sustainability-lab.github.io/). He previously completed his postdoc from University of Virginia and his PhD from IIIT Delhi as a TCS PhD fellow. His group develops AI-powered solutions for critical sustainability challenges including smart buildings, air quality monitoring, and wearable healthcare technologies. His work has been awarded several [awards](https://sustainability-lab.github.io/awards.html), including ACM SigEnergy Rising Star Award 2025, Excellence in Teaching Award IITGN 2024, Young Alumni Award IIIT Delhi 2023, Best PhD Presentation ACM SenSys 2015, Best Demo ACM BuildSys 2014, and Best Video Nominee ACM KDD 2016.
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<div class="lab-cta">
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<h4>🚀 Join the Sustainability Lab</h4>
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<p>Interested in AI for sustainability and health? We're looking for motivated students and researchers.</p>
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<a href="https://sustainability-lab.github.io/openings.html">View Open Positions</a>
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<a href="https://sustainability-lab.github.io">Lab Website</a>
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</div>

styles.scss

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.navbar {
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padding-top: 0.5rem;
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padding-bottom: 0.5rem;
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}
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.teaching-list {
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ul {
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list-style: none;
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padding-left: 0;
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li {
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padding: 0.7rem 1rem;
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margin: 0.5rem 0;
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background-color: #f8f9fa;
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border-left: 4px solid #007bff;
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border-radius: 0.25rem;
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transition: all 0.2s ease;
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&:hover {
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background-color: #e9ecef;
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transform: translateX(5px);
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}
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// Special styling for courses with YouTube recordings
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&:has(.youtube-course) {
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background: linear-gradient(135deg, #fff3cd 0%, #ffeaa7 100%);
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border-left-color: #ff6b6b;
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box-shadow: 0 2px 4px rgba(255, 107, 107, 0.1);
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&:hover {
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background: linear-gradient(135deg, #ffecb3 0%, #ffd93d 100%);
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box-shadow: 0 4px 8px rgba(255, 107, 107, 0.2);
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}
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}
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a {
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text-decoration: none;
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color: #333;
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&:hover {
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color: #007bff;
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}
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}
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}
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}
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}

teaching.qmd

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title: Teaching
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---
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<div style="margin-bottom: 1rem; padding: 0.75rem; background: linear-gradient(135deg, #fff3cd 0%, #ffeaa7 100%); border-left: 4px solid #ff6b6b; border-radius: 0.25rem; box-shadow: 0 2px 4px rgba(255, 107, 107, 0.1);">
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<strong>🎥 YouTube Recordings Available</strong> - Courses marked with this icon have video lectures available on YouTube
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</div>
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* [Spring 2025 AI for Social Good](https://nipunbatra.github.io/aisg25/)
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* [Spring 2025 Probability, Statistics, and Data Visualization](https://nipunbatra.github.io/psdv25/)
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* [Fall 2024 Machine Learning](https://nipunbatra.github.io/ml2024-fall/)
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* [Spring 2024 Machine Learning](https://nipunbatra.github.io/ml2024/)
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* [Fall 2023 Probabilistic Machine Learning](https://nipunbatra.github.io/pml2023/)
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* [Spring 2023 Machine Learning](https://nipunbatra.github.io/ml2023/)
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* [Winter 2022 Computing](https://nipunbatra.github.io/comp22/)
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* [Fall 2022 Probabilistic Machine Learning](https://nipunbatra.github.io/pml2022/)
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* [Spring 2022 Machine Learning](https://nipunbatra.github.io/ml2022/)
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* [Winter 2021 Computing](https://nipunbatra.notion.site/ES-102-Introduction-to-Computing-2021-Winter-5aa842ce18d34e0e9b2cc646b5325868)
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* [Fall 2021 Ubiquitous Computing](https://www.craft.do/s/MAdQrLOO9ErCvc)
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* [Spring 2021 Machine Learning](https://nipunbatra.github.io/ml2021/)
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* [Winter 2020 Introduction to Computing](https://www.notion.so/ES-102-Introduction-to-Computing-7535a00a1b124c5cb6f2a46eb979540b)
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* [Fall 2020 Operating Systems](https://nipunbatra.github.io/os2020/)
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* [Fall 2020 Graduate Systems]()
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* [Spring 2020 Machine Learning](https://nipunbatra.github.io/ml2020/)
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* [Fall 2019 Operating Systems](https://nipunbatra.github.io/os2019/)
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* [Fall 2019 Graduate Systems]
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* [Spring 2019 Machine Learning](https://nipunbatra.github.io/ml2019/)
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* [Fall 2018 Operating Systems](https://nipunbatra.github.io/os2018/)
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* [Fall 2018 Graduate Systems]()
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::: {.teaching-list}
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- **[Spring 2025 AI for Social Good](https://nipunbatra.github.io/aisg25/)**
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- **[Spring 2025 Probability, Statistics, and Data Visualization](https://nipunbatra.github.io/psdv25/)** <span class="youtube-course">🎥</span>
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- [Fall 2024 Machine Learning](https://nipunbatra.github.io/ml2024-fall/)
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- **[Spring 2024 Machine Learning](https://nipunbatra.github.io/ml2024/)** <span class="youtube-course">🎥</span>
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- **[Fall 2023 Probabilistic Machine Learning](https://nipunbatra.github.io/pml2023/)** <span class="youtube-course">🎥</span>
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- [Spring 2023 Machine Learning](https://nipunbatra.github.io/ml2023/)
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- [Winter 2022 Computing](https://nipunbatra.github.io/comp22/)
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- [Fall 2022 Probabilistic Machine Learning](https://nipunbatra.github.io/pml2022/)
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- [Spring 2022 Machine Learning](https://nipunbatra.github.io/ml2022/)
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- [Winter 2021 Computing](https://nipunbatra.notion.site/ES-102-Introduction-to-Computing-2021-Winter-5aa842ce18d34e0e9b2cc646b5325868)
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- [Fall 2021 Ubiquitous Computing](https://www.craft.do/s/MAdQrLOO9ErCvc)
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- [Spring 2021 Machine Learning](https://nipunbatra.github.io/ml2021/)
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- [Winter 2020 Introduction to Computing](https://www.notion.so/ES-102-Introduction-to-Computing-7535a00a1b124c5cb6f2a46eb979540b)
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- [Fall 2020 Operating Systems](https://nipunbatra.github.io/os2020/)
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- **[Spring 2020 Machine Learning](https://nipunbatra.github.io/ml2020/)** <span class="youtube-course">🎥</span>
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- [Fall 2019 Operating Systems](https://nipunbatra.github.io/os2019/)
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- [Spring 2019 Machine Learning](https://nipunbatra.github.io/ml2019/)
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- **[Fall 2018 Operating Systems](https://nipunbatra.github.io/os2018/)** <span class="youtube-course">🎥</span>
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:::

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