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<!DOCTYPE HTML>
<html lang="en">
<head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<!-- Hi, Rishab Here. Please DELETE the two <script> tags below if you use this HTML, otherwise my analytics will track your page -->
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<script async src="https://www.googletagmanager.com/gtag/js?id=UA-102766803-2"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
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</script>
<title>Rishab Khincha</title>
<link rel="stylesheet" type="text/css" href="stylesheet.css">
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<meta name="author" content="Rishab Khincha">
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="Description" content="Rishab Khincha | Research Affiliate@MIT Media Lab | Summer Analyst@Goldman Sachs | Researcher@APPCAIR BITS Goa, TCS Research | Artificial Intelligence | Medical Imaging | Social Good | Healthcare">
<meta name="keywords" content="Rishab Khincha. MIT Media Lab, Fluid Interfaces, Goldman Sachs intern, APPCAIR, BITS Goa, Artificial Intelligence, Medical Imaging">
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<link rel="icon" type="image/png" href="images/RK.png">
</head>
<body class="bg_colour">
<table border=0 class="bg_colour" style="width:100%;max-width:800px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:0px">
<!-- Name tab -->
<table border=0 class="bg_colour" style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:2.5%;width:20%;max-width:20%">
<a href="images/RishabKhinchaProfilePic.png"><img style="width:100%;max-width:100%" alt="profile photo" src="images/RishabKhinchaProfilePic.png" class="img-circle"></a>
</td>
<td style="padding:2.5%;width:60%;vertical-align:middle">
<p style="text-align:center">
<h1 style="text-align:center"><name>Rishab Khincha</name></h1>
</p>
<p style="text-align:center">
 | 
<a href="#news" onclick=Expand("news")>News</a>
 | 
<a href="#experience" onclick=Expand("experience")>Experience</a>
 | 
<a href="#publications" onclick=Expand("publications")>Publications</a>
 | 
<a href="#projects" onclick=Expand("projects")>Projects</a>
 | 
<a href="mailto:[email protected]">Contact</a>
 | 
</p>
</td>
<td style="padding:2.5%;width:10%;max-width:10%">
<!-- <a href="images/RishabKhinchaProfilePic.png"><img style="width:100%;max-width:100%" alt="profile photo" src="images/RishabKhinchaProfilePic.png" class="hoverZoomLink"></a> -->
</td>
</tr>
<!-- <tr>
<td colspan="2">
<p style="text-align:center">
 | 
<a href="#news" onclick=Expand("news")>News</a>
 | 
<a href="#experience" onclick=Expand("experience")>Experience</a>
 | 
<a href="#publications" onclick=Expand("publications")>Publications</a>
 | 
<a href="#projects" onclick=Expand("projects")>Projects</a>
 | 
<a href="#contact" onclick=Expand("contact")>Contact</a>
 | 
</p>
</td>
</tr> -->
</tbody></table>
<!-- About section, quick links -->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:2.5%;width:63%;vertical-align:middle">
<p>I am a graduate student at
<a href="https://www.utexas.edu/" target="_blank">The University of Texas at Austin
</a> where I'm pursuing my master's in Computer Science. I work with <a href="https://www.ideal.ece.utexas.edu/ghosh/" target="_blank">Dr. Joydeep Ghosh</a> at the <a href="https://www.ideal.ece.utexas.edu/" target="_blank">IDEAL Lab</a> on trustworthy AI.
I am mainly interested in tying together artificial intelligence with human-computer interaction and cognition to aid and support healthcare and other social causes. Prior to joining grad school, I had a great time at <a href="https://bits-pilani.ac.in" target="_blank">BITS Pilani, Goa</a> where I majored in Computer Science and Physics.
</p>
<p>
Previously, I've worked with <a href="https://scholar.google.com/citations?user=SRUYLREAAAAJ&hl=en" target="_blank">Dr. Franco Nori's</a> <a href="https://www.riken.jp/en/research/labs/chief/theor_qtm_phys/" target="_blank">Theoretical Quantum Physics Lab</a> on some exciting problems in the intersection of quantum computing and combinatorial optimisation.
I wrote my senior thesis with the <a href="https://www.media.mit.edu/groups/fluid-interfaces/overview/" target="_blank">Fluid Interfaces Group</a> at the <a href="http://mit.edu/" target="_blank">MIT Media Lab</a> supervised by <a href="https://www.media.mit.edu/people/pattie/overview/" target="_blank">Prof. Pattie Maes</a>.
I've interned at Goldman Sachs as a summer analyst in their Loans Servicing team.
I was also a student researcher at the <a href="https://www.bits-pilani.ac.in/goa/appcair/people" target="_blank">APP Centre for Artificial Intelligence Research</a> guided by <a href="https://www.bits-pilani.ac.in/goa/ashwin/profile" target="_blank">Prof. Ashwin Srinivasan</a> where we collaborated with <a href="https://sites.google.com/site/lovekeshhome/" target="_blank">Dr. Lovekesh Vig</a> at <a href="https://www.tcs.com/research-and-innovation" target="_blank">TCS Research and Innovation Labs</a> on using deep learning for medical imaging.
</p>
<p>
Feel free to check out my
<a href="data/RishabKhinchaCV.pdf" target="_blank" >CV</a>
and drop me an
<a href="mailto:[email protected]" target="_blank">e-mail</a>
if you want to chat with me!
</p>
<p style="text-align:center">
 ~ 
<a href="mailto:[email protected]" target="_blank">Email</a>  | 
<a href="data/RishabKhinchaCV.pdf" target="_blank" >CV</a>  | 
<a href="data/RishabKhinchaResume.pdf" target="_blank" >Resume</a>  | 
<a href="https://scholar.google.co.in/citations?user=PySXCeAAAAAJ&hl=en" target="_blank" >Google Scholar</a>  | 
<a href="https://github.com/rishabkhincha" target="_blank" >Github</a>  | 
<a href="https://www.linkedin.com/in/rishabkhincha" target="_blank">LinkedIn</a>  | 
<a href="https://twitter.com/rishabkhincha" target="_blank">Twitter</a>
 ~ 
</p>
</td>
<!-- <td style="padding:2.5%;width:30%;max-width:30%">
<a href="images/RishabKhinchaProfilePic.png"><img style="width:100%;max-width:100%" alt="profile photo" src="images/RishabKhinchaProfilePic_round.png" class="hoverZoomLink"></a>
</td> -->
</tr>
</tbody></table>
<hr class="soft">
<!-- News -->
<!-- <br> -->
<button style="border:0px transparent; background-color: transparent;outline:none;"type="button" class="collapsible" data-toggle="collapse" data-target="#content-news" id="news"><heading>News</heading></button>
<!-- <div class="container"> -->
<div id="content-news" class="collapse in">
<!-- <div class="scroll"> -->
<table border=0 class="bg_colour" style="padding:10px;width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td>
<p style="color:darkblue; display:inline">Apr '21  </p>
</td>
<td>
I was a junior chair in the <a href="https://ml4health.github.io/2021/research_roundtables.html" target="_blank">Multimodal and Representation Learning in Healthcare research roundtable</a> at the <a href="https://ml4health.github.io" target="_blank">ML4H Symposium 2021</a>! Check out the slides <a href="data/ML4H2021.pdf" target="_blank" >here</a>!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Apr '21  </p>
</td>
<td>
Paper accepted at <a href="https://sites.google.com/view/udlworkshop2021/" target="_blank">UDL workshop</a>, <a href="https://icml.cc/" target="_blank">ICML '21</a>! Check out the preprint <a href="http://www.gatsby.ucl.ac.uk/~balaji/udl2021/accepted-papers/UDL2021-paper-069.pdf" target="_blank">here</a>!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Apr '21  </p>
</td>
<td>
Paper accepted at <a href="https://www.ijcnn.org/" target="_blank">IJCNN '21</a>! Check out the <a href="https://arxiv.org/abs/2104.10715" target="_blank">preprint</a> and my <a href="https://drive.google.com/file/d/1Qoxvr-QJhcpsHGRKuOT2xop8mopUUgYo/view?usp=sharing" target="_blank">presentation</a>!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Feb '21  </p>
</td>
<td>
I will be serving on the Program Committee for the <a href="https://aiforpublichealth.github.io/" target="_blank">AI for Public Health Workshop</a> at <a href="http://iclr.cc/" target="_blank">ICLR '21</a>!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Jan '21  </p>
</td>
<td>
We won an Honorable Mention in the YRS Track at CODS-Comad 2021! Check out the <a href="https://drive.google.com/file/d/11ybQ_KBsdAdxGaY4K8XikvBxTO1bUcxt/view" target="_blank">slides</a> and the <a href="https://dl.acm.org/doi/abs/10.1145/3430984.3431066" target="_blank">paper</a>.
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Nov '20  </p>
</td>
<td>
Paper accepted in the <a href="https://aaai.org/Conferences/AAAI-21/student-abstract-call/" target="_blank">Student Abstract Program</a> at <a href="https://aaai.org/Conferences/AAAI-21/" target="_blank">AAAI 2021</a>. Check out the <a href="https://arxiv.org/pdf/2011.09596.pdf" target="_blank">preprint</a> and the <a href="data/MissingAAAI.pdf" target="_blank">poster</a>!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Nov '20  </p>
</td>
<td>
I won the <a href="https://ecms.adelaide.edu.au/ingenuity/ingenuity-challenge" target="_blank"> Ingenuity Challenge</a> organized by the University of Adelaide in collaboration with the <a href="http://canberraai.net/caiss2020/index.html" target="_blank"> CAISS 2020</a>!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Oct '20  </p>
</td>
<td>
Our extended abstract got accepted at <a href="https://ml4health.github.io/" target="_blank">ML4H</a></a>, <a href="https://nips.cc/" target="_blank">NeurIPS 2020</a>.</em> Check out the preprint
</em><a href="https://arxiv.org/abs/2010.01440" target="_blank"> here</a>!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Oct '20  </p>
</td>
<td>
Our team Wind Watchers were placed in the bronze category of the <a href="https://www.hackerearth.com/challenges/competitive/shell-hackathon/" target="_blank">Shell AI Hackathon</a>!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Oct '20  </p>
</td>
<td>
Our extended abstract on Network Community Analysis is accepted to the YRS track <a href="https://cods-comad.in/" target="_blank">CODS-COMAD 2021</a>!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Aug '20  </p>
</td>
<td>
Our paper on the detection of COVID-19 from chest X-rays accepted to the <a href="https://www.lungworkshop.org" target="_blank">TIA Workshop</a> at <a href="http://miccai2020.org/en/" target="_blank">MICCAI 2020</a>!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Aug '20  </p>
</td>
<td>
Selected for the first ever <a href="https://sites.google.com/view/aisummerschool2020">Google AI Summer School</a> - AI4SG & HCI track!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Aug '20  </p>
</td>
<td>
Received a pre-placement offer from Goldman Sachs to join full time!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Aug '20  </p>
</td>
<td>
Our paper on knowledge transfer in lesion accepted to the <a href="https://www.hvnguyen.com/lesslabelsimperfectdataml2020" target="_blank">MIL3ID Workshop</a> at <a href="http://miccai2020.org/en/" target="_blank">MICCAI 2020</a>! <a href="https://95217d1b-f241-44bb-939f-69f6fb5c41d2.usrfiles.com/ugd/95217d_c974b9219af6431999ad269a1ae28bb3.pdf" target="_blank"> [preprint] </a>
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">July '20  </p>
</td>
<td>
Runner-up in the Goldman Sachs Intern Coding Challenge!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">June '20    </p>
</td>
<td>
Started working on my senior thesis at MIT Media Lab!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">May '20</p>
</td>
<td>
Started working with Goldman Sachs as a summer analyst.
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Mar '20</p>
</td>
<td>
Awarded an IPA position to work with <a href="https://scholar.google.com/citations?user=SRUYLREAAAAJ&hl=en" target="_blank">Dr. Franco Nori</a> at the <a href="https://www.riken.jp/en/research/labs/chief/theor_qtm_phys/" target="_blank">Theoretical Quantum Physics Laboratory, RIKEN.</a>
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Mar '20</p>
</td>
<td>
Paper on sleep apnea detection accepted as a full paper at ICISP '20. Check it out <a href="https://link.springer.com/chapter/10.1007/978-3-030-51935-3_40" target="_blank">here</a>!
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">Jan '20</p>
</td>
<td>
Started at <a href="https://www.bits-pilani.ac.in/appcair/">APPCAIR</a> as a student researcher.
</td>
</tr>
<tr>
<td>
<p style="color:darkblue; display:inline">July '19</p>
</td>
<td>
Attended my first ever academic conference - CASCA 2019, Montreal!
</td>
</tr>
<tr>
<td class="tdNews" style="width:12%; vertical-align:top">
<p style="color:darkblue; display:inline">Jan '19</p>
</td>
<td style="width:90%">
Selected for the <a href="https://www.mitacs.ca/en/programs/globalink/globalink-research-internship" target="_blank">MITACS Globalink Research Internship</a> for summer 2019!
</td>
</tr>
</tbody></table>
<!-- </div> -->
<!-- </div> -->
</div>
<hr class="soft">
<!-- Experience -->
<button style="border:0px transparent; background-color: transparent;outline:none;"type="button" class="collapsible" data-toggle="collapse" data-target="#content-experience" id="experience"><heading>Experience</heading></button>
<div id="content-experience" class="collapse in">
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<img src='images/UTAustin_logo.png' width="120">
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<td style="padding:10px;width:75%;vertical-align:top">
<papertitle style="color:gray"><big>Graduate Research Assistant</big> </papertitle> <papertitle ><big> | Intelligent Data Exploration and Analysis Laboratory</big></papertitle>
<br>
Aug '21 - Present
<br>
<br>
<p>Working under the supervision of <a href="https://www.ideal.ece.utexas.edu/ghosh/index.html" target="_blank">Dr. Joydeep Ghosh</a> at the <a href="https://www.ideal.ece.utexas.edu/" target="_blank"> IDEAL Lab</a>.</p>
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<td style="padding:10px;width:25%;vertical-align:middle">
<div class="one">
<img src='images/riken_logo.png' width="120">
</div>
</td>
<td style="padding:10px;width:75%;vertical-align:top">
<papertitle style="color:gray"><big>International Program Associate</big> </papertitle> <papertitle ><big> | RIKEN Cluster for Pioneering Research</big></papertitle>
<br>
Feb '21 - July '21
<br>
<br>
<p>Working under the supervision of <a href="https://scholar.google.com/citations?user=SRUYLREAAAAJ&hl=en" target="_blank">Dr. Franco Nori</a> and <a href="http://scholar.google.de/citations?user=VRekVA0AAAAJ&hl=de" target="_blank">Dr. Clemens Gneiting</a> at the <a href="https://www.riken.jp/en/research/labs/chief/theor_qtm_phys/" target="_blank"> Theoretical Quantum Physics Lab</a>. We are studying the noise robustness of analog optimization methods for NP-Hard problems.</p>
</td>
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<td style="padding:10px;width:25%;vertical-align:middle">
<div class="one">
<img src='images/MIT_logo.jpg' width="120">
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<papertitle style="color:gray"><big>Research Affiliate</big> </papertitle> <papertitle ><big> | Massachusetts Institute of Technology</big></papertitle>
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June '20 - June '21
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<p>Working under the supervision of <a href="https://www.media.mit.edu/people/pattie/overview/" target="_blank">Prof. Pattie Maes</a> at the <a href="https://www.media.mit.edu/groups/fluid-interfaces/overview/" target="_blank">Fluid Interfaces</a> group at MIT Media Lab. We are researching AI algorithms to aid healthcare and human cognition, with a strong focus on making them fair, aware and reliable decision making systems.</p>
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<papertitle style="color:gray"><big>Summer Analyst</big> </papertitle> <papertitle><big> | Goldman Sachs</big></papertitle>
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May '20 - June '20
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<p>Built a loan reconciliation app as part of the Loans Servicing Team. Wrote APIs in Java and integrated my BPMN Workflows with eTask forms. With the project succesfully moved to production, the legacy application being used was officially decommisioned.</p>
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<papertitle style="color:gray"><big>Researcher</big> </papertitle> <papertitle><big> | APPCAIR & TCS Research</big></papertitle>
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January '20 - Present
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<p>Building robust and interpetable models for medical imaging under the supervision of <a href="https://www.bits-pilani.ac.in/goa/ashwin/profile" target="_blank">Prof. Ashwin Srinivasan</a> and <a href="https://sites.google.com/site/lovekeshhome/" target="_blank">Dr. Lovekesh Vig</a>. Working on multiple projects involving identifying COVID-19 from Chest X-rays and lesion classification.</p>
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<papertitle style="color:gray"><big>MITACS GRI</big> </papertitle> <papertitle><big> | Western University</big></papertitle>
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May '19 - July '19'
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<p>Worked as a MITACS Globalink Intern at the <a href="https://nearby-galaxies.github.io/" target="_blank">Nearby Galaxies</a> group under the supervision of <a href="http://www.physics.uwo.ca/people/faculty_web_pages/barmby.html" target="_blank">Prof. Pauline Barmby</a>.
Built <a href="https://github.com/rishabkhincha/ImageCube-1" target="_blank">ImageCube</a>, an open source image processing tool in Python to processes multi-wavelength astronomical datasets.</p>
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<papertitle style="color:gray"><big>Summer Intern</big> </papertitle><papertitle><big> | Myra Medicine (now Medlife)</big></papertitle>
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May '18 - July '18'
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<p>Worked in the intersection of business intelligence and data science supervised by <a href="https://www.linkedin.com/in/manikazad" target="_blank">Manik Singhal</a>. Initiated a customer segmentation project and submitted a report to the marketing team for user customisation and retention.</p>
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Under construction. Please check my <a href="https://scholar.google.com/citations?hl=en&user=PySXCeAAAAAJ&view_op=list_works&sortby=pubdate" target="_blank" >Google Scholar</a> or <a href="data/RishabKhinchaCV.pdf" target="_blank" >CV</a>!
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<papertitle><big>Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays</papertitle></big>
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<p><em>Under submission. <a href="https://arxiv.org/pdf/2012.10787" target="_blank">[preprint]</a></em></p>
<p>In this paper, our focus is on constructing models to assist a clinician in the diagnosis of COVID-19 patients in situations where it is easier and cheaper to obtain X-ray data. We propose a new COVIDr dataset with important radiological annotations from a practicing radiologist. We build a deep neuro-symbolic model to diagnose COVID-19 and provide visual and textual explanations, with no significant loss in predictive accuracy compared to an end-to-end model. We find that the radiologist prefers simple representations, both visual and textual to aid in diagnosis.</p>
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<papertitle><big>Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings</papertitle></big>
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<em>Accepted at <a href="https://www.ijcnn.org/" target="_blank">IJCNN 2021</a>. <a href="https://arxiv.org/abs/2104.10715" target="_blank">[preprint]</a> <a href="https://github.com/usarawgi911/Uncertainty-aware-boosting" target="_blank">[code]</a> <a href="https://drive.google.com/file/d/1Qoxvr-QJhcpsHGRKuOT2xop8mopUUgYo/view?usp=sharing" target="_blank">[video]</a> <a href="data/IJCNN21slides.pdf" target="_blank">[slides]</a>
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<em>Extended abstract accepted at the <a href="https://ml4health.github.io/" target="_blank">Machine Learning for Health Workshop</a>, <a href="https://nips.cc/" target="_blank">NeurIPS 2020</a>.</em>
</em><a href="https://arxiv.org/abs/2010.01440" target="_blank"> [preprint] </a><a href="https://github.com/wazeerzulfikar/alzheimers-dementia" target="_blank"> [code] </a></p>
<p>We propose an uncertainty-aware boosting technique for multi-modal ensembling in order to focus on the data points with higher associated uncertainty estimates, rather than the ones with higher loss values. We evaluate this method on healthcare tasks related to Dementia and Parkinson's disease which involve real-world multi-modal speech and text data, wherein our method shows an improved performance. Additional analysis suggests that introducing uncertainty-awareness into the boosted ensembles decreases the overall entropy of the system, making it more robust to heteroscedasticity in the data, as well as better calibrating each of the modalities along with high quality prediction intervals.</p>
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<papertitle><big>Disentangling Predictive Uncertainties using Deep Split Ensembles</papertitle></big>
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<p><em>Under submission. </em><a href="https://arxiv.org/pdf/2009.12406.pdf" target="_blank">[preprint]</a> <a href="https://github.com/rishabkhincha/deep-split-ensembles" target="_blank">[code]</a> </p>
<p>We propose a conceptually simple non-Bayesian approach, deep split ensemble, to disentangle the predictive uncertainties using a multivariate Gaussian mixture model. The NNs are trained with clusters of input features, for uncertainty estimates per cluster. Extensive analyses using dataset shits and empirical rule highlight our inherently well-calibrated models. Our work further demonstrates its applicability in a multi-modal setting using a benchmark Alzheimer’s dataset and also shows how deep split ensembles can highlight hidden modality-specific biases</p>
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<papertitle><big>Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks</papertitle></big>
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<p><em>Accepted in the <a href="https://aaai.org/Conferences/AAAI-21/student-abstract-call/" target="_blank">Student Abstract Program</a>, <a href="https://aaai.org/Conferences/AAAI-21/" target="_blank">AAAI 2021</a></em><a href="https://github.com/rishabkhincha/Robustness-to-Missing-Features" target="_blank"> [code]</a></p>
<p>In this work, we propose a simple yet effective approach that clusters similar input features together using hierarchical clustering and then trains proportionately split neural networks with a joint loss. We evaluate this approach on a series of benchmark datasets and show promising improvements even with simple imputation techniques.</p>
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<papertitle><big>CovidDiagnosis: Deep Diagnosis of COVID-19 Patients using Chest X-rays</papertitle></big>
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<p><em>Accepted for oral presentation at the <a href="http://www.lungworkshop.org/" target="_blank">TIA Workshop</a>, <a href="https://miccai2020.org/" target="_blank">MICCAI 2020</a>.</em></p>
<p>Built a pipeline comprising of models for lung isolation, followed by classification into different disease classes. We further augment our network with symptom embeddings produced by the CheXpert network and achieve excellent results. Our visualisation maps provide trustworthy and interpretable decisions to radiologists for clinical deployment.</p>
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<papertitle><big>Knowledge Transfer in Lesions</big></papertitle>
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<p><em>Accepted as a full paper at the <a href="https://www.hvnguyen.com/lesslabelsimperfectdataml2020" target="_blank">MIL3ID Workshop</a>, <a href="https://miccai2020.org/" target="_blank">MICCAI 2020</a>.</em> <a href="https://95217d1b-f241-44bb-939f-69f6fb5c41d2.usrfiles.com/ugd/95217d_c974b9219af6431999ad269a1ae28bb3.pdf" target="_blank"> [preprint] </a> <a href="data/A Case Study of Transfer of Lesion Knowledge-PPT.pdf" target="_blank"> [slides] </a></p>
<p>Studied the transfer of lesion knowledge across organs for lesion classifcation tasks. Our designed experiments on the lung and brain tumour datasets show that transfer learning using lesion-augmented models perform substantially better than models trained using random weights or lesion-agnostic(like ImageNet) transfer.</p>
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<papertitle><big>ImageCube</big></papertitle>
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<p><em><a href="data/PyAstro_invite.pdf" target="_blank">Invited</a> for an hour long talk at <a href="http://openastronomy.org/pyastro/2020/" target="_blank">PyAstro 2020</a>, Trinity College Dublin. </em><a href="https://github.com/rishabkhincha/ImageCube-1" target="_blank">[code]</a></p>
<p>Built an open source image processing tool in Python to process multi-wavelength astronomy images. On registereing the images from different telescope to a common world coordinate system, they are convolved and re-sampled to a common pixel scale. These images are now put together to form an image cube, to help for easy analysis.</p>
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<papertitle><big>Sleep Apnea Detection on an Embedded Device</big></papertitle>
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<p><em>Accepted as a <a href="https://link.springer.com/chapter/10.1007/978-3-030-51935-3_40" target="_blank">full paper</a> at <a href="http://icisp-conf.org/" target="_blank">ICISP 2020</a>.</em> <a href="https://github.com/rishabkhincha/SleepApneaDetector" target="_blank">[code]</a></p>
<p>We developed a data analysis pipeline combining dataset extraction, segmentation, signal cleaning and filtration to detect the presence of sleep apnea using SVMs. On testing our approach on the MIT-Physionet dataset, we find that the low computational complexity makes it well suited for deployment on embedded devices such as the Raspberry Pi.</p>
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<papertitle><big>Online Learning Assistant with Network Community Analysis</big></papertitle>
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<p><em>Accepted at the Young Researcher's Symposium, <a href="https://cods-comad.in/" target="_blank">CODS-COMAD 2021</a></em></p>
<p>Built a simple and scalable platform agnostic tool to aid online discussion forums using Social Network Analysis. We extract keywords from a chat, and list out the top users for this keyword and their activity histograms using a sliding window exponential ranking system. We have tested our methodology on Ubuntu IRC Logs and on our university chat for courses.</p>
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<p>This template is a modification to Jon Barron's <a href="https://jonbarron.info/" target="_blank">website</a>. Find the source code to my website <a href="https://github.com/rishabkhincha/rishabkhincha.github.io" target="_blank">here</a>.</p>
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