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I"X<p>We propose a Knowledge Management Framework based on NLP techniques that would tackle challenges such as resource-intensive nature, lack of comprehensive information sources, and overlapping jurisdictions in policy analysis. The framework is designed to be platform-, language- and policy-agnostic. To classify financial incentives in restoration policies, both Sentence-BERT and Cross-Encoders performed well. For sentence classification inference with Sentence-BERT, a random forest classifier can be used to assign a category to a given sentence using the Sentence-BERT learned embeddings.</p>
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‎.jekyll-metadata

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<!DOCTYPE HTML>
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<html lang="en">
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<head>
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<!-- Global site tag (gtag.js) - Google Analytics -->
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<script async src="https://www.googletagmanager.com/gtag/js?id=UA-154633056-2"></script>
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<script>
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window.dataLayer = window.dataLayer || [];
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function gtag(){dataLayer.push(arguments);}
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gtag('js', new Date());
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gtag('config', 'UA-154633056-2');
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</script>
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<title>Ramansh Sharma</title>
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<meta content="text/html; charset=utf-8" http-equiv="Content-Type">
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<meta name="author" content="Ramansh Sharma" />
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<link rel="stylesheet" type="text/css" href="/style.css" />
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<link rel="canonical" href="https://ramanshsharma2806.github.io/">
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<link href="https://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic" rel="stylesheet" type="text/css">
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</head>
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<body>
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<table style="width:100%;max-width:800px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
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<td style="padding:2.5%;width:60%;vertical-align:middle">
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<h1>
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Ramansh Sharma
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</h1>
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<p>
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I am an undergraduate researcher at the School of Computing, University of Utah supervised by <a
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href="http://varunshankar.com/">Professor Varun Shankar</a>. Our research
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focuses on designing novel methodologies to solve partial differential equations with physics-informed machine learning techniques.
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</p>
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<p>
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I am also a research intern at the <a href="https://team-approx-bayes.github.io/">Approximate Bayesian Inference Team</a> at the <a
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href="https://aip.riken.jp/">RIKEN</a> Centre for Advanced Intelligence Project, Japan supervised by <a
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href="https://gmmarconi.github.io/">Dr. Gian Maria Marconi</a> and <a href="https://www.thomasmoellenhoff.net/">Dr. Thomas
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Möllenhoff</a>. Our research focuses on curriculum learning.
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</p>
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<p>
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Previously, I was a Machine Learning Engineer at <a href="https://omdena.com/">Omdena</a> working for the World Resources Institute. I have also worked as a Lead Machine
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Learning Engineer for TrashOut and a Data Scientist for SevaExchange.
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</p>
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<p>
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I am also an astrodynamics and fluid dynamics team
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member at <a href="https://www.conexresearch.com/">Conex Research</a>, an international team of students and young professionals developing science based space mission proposals.
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</p>
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<p style="text-align:center">
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<a target="_blank" href="mailto:[email protected]">Email</a> &nbsp;/&nbsp;
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<a href="https://scholar.google.com/citations?user=lUmqHckAAAAJ&hl=en">Google Scholar</a> &nbsp;/&nbsp;
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<a href="https://github.com/ramanshsharma2806">GitHub</a> &nbsp;/&nbsp;
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<a href="https://twitter.com/ramanshsharma1">Twitter</a> &nbsp;/&nbsp;
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<a href="https://www.linkedin.com/in/ramanshsharma">LinkedIn</a>
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</p>
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</td>
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<td style="padding:2.5%;width:40%;max-width:40%">
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<img style="width:100%;max-width:100%" alt="profile photo" src="images/portrait.jpg">
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</td>
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<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
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<td style="padding:2.5%;width:100%;vertical-align:middle">
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<h2>Highlights / Timeline</h2>
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<p>
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<strong>October 2021 - Present</strong>: Working as a research intern at the ABI team focusing on curriculum learning.</p>
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<p>
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<p>
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<strong>September 2021 - Present</strong>: Working as an undergraduate researcher at The University of Utah focusing on physics-informed machine learning.</p>
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<p>
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<p>
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<strong>February 2021 - September 2021</strong>: Worked at World Resources Institute as a Machine Learning Engineer on identifying
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economic and financial incentives for forest and landscape restoration using NLP. The open source code and the KDD 2021 conference
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paper for this project are available below.</p>
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<p>
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<p>
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<strong>January 2021 - September 2021</strong>: Started working at Omdena as a Software Engineer and Platform Engineer managing and optimizing their Airtable
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database, making a community engagement measuring tool, and creating and launching <a
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href="https://omdenaai.github.io/">OmdenaLore</a>, a first of its kind AI-4-good library made for data scientists.</p>
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<p>
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<strong>October 2020 - December 2020</strong>: Worked at SevaExchange as a Data Scientist on recommender systems to connect volunteers with
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volunteer opportunities.
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</p>
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<p>
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<strong>June 2020 - August 2020</strong>: Worked at Omdena's TrashOut project as a Lead Machine Learning Engineer.
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</p>
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<p>
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<strong>July 2019 - June 2023</strong>: Undergraduate degree in Computer Science and Engineering at SRM Institute of Science and
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Technology, Ramapuram, India.</p>
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<h2>Research</h2>
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<p>
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I am currently interested in physics-informed machine learning and how physics-informed neural network (PINN) models can be used to
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simulate and solve partial differential equations that
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occur in various physical settings. I am specifically trying to work towards finding solutions to known failure modes of PINNs which occur with
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more complex and ill-conditioned problems.
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<td style="padding:2.5%;width:25%;vertical-align:middle;min-width:120px">
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<img src="/images/kddpaper.png" alt="project image" style="width:auto; height:auto; max-width:100%;" />
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</td>
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<td style="padding:2.5%;width:75%;vertical-align:middle">
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<h3>Beyond modeling: NLP Pipeline for efficient environmental policy analysis</h3>
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<br>
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Jordi Planas, Daniel Firebanks-Quevedo, Galina Naydenova, <strong>Ramansh Sharma</strong>, Cristina Taylor, Kathleen Buckingham, Rong Fang
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<br>
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<em>Fragile Earth proceedings - KDD 2021</em>, 2021
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<br>
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<a href="/docs/kddpaper.pdf">paper</a> /
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<a href="https://arxiv.org/abs/2201.07105">arxiv</a> /
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<a href="https://github.com/wri-dssg-omdena/policy-data-analyzer">code</a> /
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<a href="https://youtu.be/GfDwWJLSoFo">video</a>
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<!-- -->
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<!-- -->
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<p></p>
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<p>We propose a Knowledge Management Framework based on NLP techniques that would tackle challenges such as resource-intensive nature, lack of comprehensive information sources, and overlapping jurisdictions in policy analysis. The framework is designed to be platform-, language- and policy-agnostic. To classify financial incentives in restoration policies, both Sentence-BERT and Cross-Encoders performed well. For sentence classification inference with Sentence-BERT, a random forest classifier can be used to assign a category to a given sentence using the Sentence-BERT learned embeddings.</p>
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<h2>Other notes</h2>
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<p>
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I often speak at events to encourage students to consider a path in Machine Learning. I share some of those
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events below:
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<ol>
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<li><a href="https://youtu.be/C_V3EKr0rCw"><strong>Bronx Science Machine Learning club</strong></a>: I discussed different ways students can start learning Machine Learning
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concepts, make unique and interesting projects (and share them), and approach internship opportunities.</li>
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<br>
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<li><a href="https://youtu.be/qWMOFWCCC9Y"><strong>Devs' Street event</strong></a>: I discussed my past projects and the lessons I
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learned from them on applying Machine Learning in industry. I shared my personal experience looking for internship opportunities and
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making presentable projects.</li>
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<br>
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<li><a href="https://youtu.be/um73FhxAjBs"><strong>NeurIPS 2020 Nairobi meetup</strong></a>: I co-hosted this online meetup for NeurIPS
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2020 where we invited researchers and practitioners from Stanford University, George Washinton University, Facebook AI Residency program, Amazon, Spotify,
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Google, Instadeep, and NVIDIA
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research divisions.</li>
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<br>
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<li><a href="https://youtu.be/XCPhfLGGYcg"><strong>Neural Networks Workshop</strong></a>: I gave
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a technical workshop at my college in 2020 for Microsoft Student Partner Open Day on an applied introduction to neural networks and machine learning.</li>
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</ol>
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</p>
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<br>
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<br>
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<p style="text-align:center;font-size:small;">
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Adapted from <a style="font-size:small;" href="https://github.com/dvtailor/dvtailor.github.io">Dharmesh Tailor's fork</a> of <a style="font-size:small;" href="https://github.com/leonidk/new_website">Leonid Keselman's website</a>.
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‎_site/robots.txt

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Sitemap: https://ramanshsharma2806.github.io/sitemap.xml

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