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<!DOCTYPE html>
<!--
Plain-Academic by Vasilios Mavroudis
Released under the Simplified BSD License/FreeBSD (2-clause) License.
https://github.com/mavroudisv/plain-academic
-->
<html lang="en">
<head>
<title>Sumit Asthana</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/css/bootstrap.min.css">
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.exp, .project{
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<body>
<!-- Navigation -->
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<div class="container">
<div class="navbar-header">
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#bs-example-navbar-collapse-1">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
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<span class="icon-bar"></span>
</button>
</div>
<!-- Collect the nav links, forms, and other content for toggling -->
<div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
<ul class="nav navbar-nav">
<li><a href="index.html">Home</a></li>
<li><a href="#publications">Publications</a></li>
<li><a href="#experience">Experience</a></li>
<li><a href="#projects">Projects</a></li>
</ul>
</div>
</div>
</nav>
<!-- Page Content -->
<div class="container">
<div class="row" style="margin-top: 5em;">
<!-- Entries Column -->
<!--<div class="col-md-8" style="height: 100vh;">-->
<div class="col-md-8" >
<!-- Main Image -->
<img class="img-responsive" src="img/self.jpeg" alt=""
style="width: 30%"><br>
<div class="bio" style="margin-top:3%; text-align:justify;">
<p>I am a final year PhD candidate at University of
Michigan, Ann Arbor. My research interests are at the
intersection of Machine Learning and Human-Computer
Interaction (HCI).</p>
<p>I develop adaptive AI systems that enable people to reason under risk and uncertainty in complex
decision-making scenarios. For example, enabling decision-makers in education to conduct accurate
assessments of students for admissions and course waivers or designing adaptive meeting recap that
considers meeting participant's goals and expertise to provide them the most relevant information. I borrow from cognitive science to
build approximate user models for tasks, and use them with Reinforcement Learning to improve Human-AI interaction. I bring in strong computational and model building skills
from my prior industry experience to build systems for Human-AI interaction and my training in HCI allows me to conduct real world study on improving Human-AI
interaction. E.g., I recently built a bayesian network from a massive dataset of 3M records
to model personal information and using it to study personalization - privacy trade-off.</p>
<p>
I am an open source <a href="https://gerrit.wikimedia.org/r/q/owner:+asthana.sumit23" target="_blank">contributor <i class="bi bi-link-45deg"></i></a> to Wikipedia, and I also administered their
Google Summer of Code internship program in 2016,17. Specifically, I contributed majorly to the mobile Wikipedia website to make it high-performant.
For my services I was nominated by Wikimedia
Foundation to attend Google summer of code mentor summit in 2017, and invited to present my research
at the monthly Wikimedia research showcase in 2021.
</p>
</div>
</div>
<div class="col-md-4 offset-md-8 bgg-info">
<div style="font-family: 'Oswald', sans-serif; font-size:
32px;"><b>Sumit Asthana</b></div><br>
<p><b>asumit at umich dot edu</b><br>
<p>PhD candidate, Computer Science and Engineering<br>
University of Michigan, Ann Arbor<br>
Ann Arbor <br>
United States <br>
</p>
<dd class="bg-card"><a href="https://scholar.google.com/citations?user=een-10MAAAAJ&hl=en&authuser=1">Google Scholar</a></dd>
<dd class="bg-card"><a href="https://twitter.com/sumit_ast">Twitter</a></dd>
<dd class="bg-card"><a href="https://www.linkedin.com/in/sumitasthana26/">LinkedIn</a></dd>
<dd class="bg-card"><a href="static/Sumit_CV_24.pdf" target="_blank">CV</a></dd>
</div>
</div> <!-- Introduction row div ends here -->
<div class="experience" id="publications">
<h2 class="section-header">Publications</h2>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">"I know even if you don't tell me": Understanding Users' Privacy Preferences Regarding AI-based Inferences of Sensitive Information for Personalization.</h3>
<h4 class="card-subtitle mb-2 text-muted">In CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems.</h4>
<p class="card-text"> Sumit Asthana, Jane Im, Zhe Chen, Nikola Banovic </p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts.</h3>
<h4 class="card-subtitle mb-2 text-muted">In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 6208–6226, Miami, Florida, USA. Association for Computational Linguistics.</h4>
<p class="card-text"> Sumit Asthana, Hannah Rashkin, Elizabeth Clark, Fantine Huot, Mirella Lapata </p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">Summaries, Highlights, and Action items - Design, implementation, and
evaluation of an LLM-powered meeting recap system.</h3>
<h4 class="card-subtitle mb-2 text-muted">In Proceedings of ACM conferene on Computer Supported Cooperative Work (CSCW 2024)</h4>
<p class="card-text"> Sumit Asthana, Sagi Hilleli,
Pengcheng He, Aaron Halfaker </p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">
Understanding Uncertainty: How Lay Decision-makers
Perceive and Interpret Uncertainty in Human-AI Decision Making
</h3>
<h4 class="card-subtitle mb-2 text-muted">
In Proceedings of ACM conference on intelligent user interfaces (IUI) 2023
</h4>
<p class="card-text">
Snehal Prabhudesai, Leyao Yang, Sumit Asthana, Xun Huan, Q. Vera Liao, Nikola Banovic
</p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">
Generation and assessment of multiple-choice
questions from video transcripts using large language models
</h3>
<h4 class="card-subtitle mb-2 text-muted">
In Proceedings of the Eleventh ACM Conference on
Learning@ Scale (pp. 530-534).
</h4>
<p class="card-text">
Taimoor Arif, Sumit Asthana, Kevyn Collins Thompson
</p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">
Automatically Labeling Low Quality Content on Wikipedia by Leveraging Patterns in Editing Behaviors
</h3>
<h4 class="card-subtitle mb-2 text-muted">
In Proceedings of the
ACM on Human-Computer Interaction, Vol. 5, No. CSCW2, Article 359 (October 2021). ACM 23 pages
</h4>
<p class="card-text">
Sumit Asthana, Sabrina Tobar Thommel, Aaron Halfaker, Nikola
Banovic
</p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">
Whodo: Automating reviewer suggestions at scale
</h3>
<h4 class="card-subtitle mb-2 text-muted">
In Proceedings of the 2019 27th
ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of
Software Engineering. 2019. (FSE)
</h4>
<p class="card-text">
Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Christian Bird, Chetan Bansal, Chandra Maddila, Sonu
Mehta, B. Ashok
</p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">
Rex: Preventing bugs and misconfiguration in large services using
correlated change analysis
</h3>
<h4 class="card-subtitle mb-2 text-muted">
In Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation
(NSDI 20). 2020.
</h4>
<p class="card-text">
Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, Chetan Bansal, Chandra Maddila, B. Ashok, Sumit Asthana,
Christian Bird, Aditya Kumar
</p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">
With Few Eyes, All Hoaxes are Deep
</h3>
<h4 class="card-subtitle mb-2 text-muted">
In Proceedings of the
ACM on Human-Computer Interaction, Vol. 2, CSCW, Article 21 (November 2018). ACM, New York, NY. 18
pages. (Accpetance rate: 24%).
</h4>
<p class="card-text">
Sumit Asthana and Aaron Halfaker.
</p>
</div>
</div>
</div>
</div>
</div>
<div class="experience" id="experience">
<h2 class="section-header">Industry Experience</h2>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">Google Deepmind, <i>New York</i></h3>
<h4 class="card-subtitle mb-2 text-muted">Research Intern, <i>August 2023 - December 2023</i></h4>
<p class="card-text">Adaptive simplification of domain-specific writing using LLMs. Developed a robust semantic evaluation method to evaluate LLMs for simplifying domain-specific writing and evaluated open-source and commercial LLMs for their performance on the task.</p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">Microsoft Research, <i>Seattle</i></h3>
<h4 class="card-subtitle mb-2 text-muted">Research Intern, <i>May 2022 - August 2022</i></h4>
<p class="card-text">Intelligent meeting recap - Designed, Built and Evaluated an LLM based meeting experiences
and studied its effectivenss in the context
of user's meeting. Insights informed to the development of a robust meeting
recap exeperience within Microsoft.</p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">Microsoft Research, <i>Seattle</i></h3>
<h4 class="card-subtitle mb-2 text-muted">Research Intern, <i>May 2021 - August 2021</i></h4>
<p>Usefulness and challenges of devops bots in the software development landscape
- Studied bots in a bot platform used by 10,000 developers daily for their workflows.
Identified bot challenges such as too many recommendations, poorly grounded human-bot communication.
Recommendation from the study helped improve bot engagement, and overall software development
quality with Microsoft.
</p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">Microsoft Research, <i>Bengaluru</i></h3>
<h4 class="card-subtitle mb-2 text-muted">Research Fellow, <i>May 2018 - July 2019</i></h4>
<p>Developed a reviewer recommendations platform within Microsoft. Evaluated
the platform through a continual quantative user study, and interviewed developers
to understand the breakdowns of the system, and potential direction for improvement such
as understanding code level semantic knowledge of developers for review recommendation.
</p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">Wikimedia Foundation, <i>India</i></h3>
<h4 class="card-subtitle mb-2 text-muted">Intern, <i>Jan 2018 - June 2018</i></h4>
<p>Built a system to identify high level topics of Wikipedia articles using word embeddings, and
RandomForests. The models are currently deployed on Wikipedia, and helping Wikipedia
editors identify articles of interest to judge relevance, and decide their value for Wikipedia.
</p>
</div>
</div>
</div>
</div>
<div class="row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">Arista Networks, <i>Bengaluru, India</i></h3>
<h4 class="card-subtitle mb-2 text-muted">Intern, <i>July 2017 - May 2018</i></h4>
<p>Worked on L2VPN routing solutions for Gigabit ethernet datacenter networks.
</p>
</div>
</div>
</div>
</div>
</div>
<div class="projects" id="projects">
<h2 class="section-header">Projects</h2>
<div class="project row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">Designing adaptive assessments for understanding students knowledge in course learning</h3>
<p>
Personalized AI can improve education significantly by giving each student the opportunity to learn at their own pace and understanding.
In this work, I am leveraging cognitive theory concept understanding to build an adaptive assessment methodology that assesses student competence while minimizing burden on them.
I formulated a structured decision space of concepts necessary to understand the course, and combined LLM interaction with a submodular objective evaluation of concepts.
</p>
</div>
</div>
</div>
</div>
<div class="project row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">Alinging AI-assisted decision-making with end-user preferences</h3>
<p>
AI may make decisions that do not always align with end-user sensibilities. For example, during personalization, systems
may collect data and infer and use sensitive attributes about their users without their awareness or consent. In this work, I engineered a Human-AI interactive system
that collects the most optimal and informative data about its users for personalization using a submodular objective. In a between and within-subjects user study,
I then demonstrated that users show differential preferences for the usage of sensitive attributes about them that the AI infers.
Their preferences depend on the sensitivity and the accuracy of inferences. The study provides concrete evidence of incorporating explicit
user feedback in systems for aligning AI objectives with user preferences.
</p>
</div>
</div>
</div>
</div>
<div class="project row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">Aligning Wikipedia article quality assessment by learning from policy-guided Wikipedia edits.</h3>
<p>Content assessment is guided by content policies -- neutral point of view (NPOV), citations, and clear writing. For AI to understand
Wikipedia content quality assessment, it needs to understand the application of the content policies in-context. I showed that Wikipedia
edits that instantiate these content policies learn more aligned assessments of Wikipedia content policies than learning form
sentences on highest quality articles.
</p>
</div>
</div>
</div>
</div>
<div class="project row experience-card">
<div class="col-md-8 offset-md-2">
<div class="card mb-4">
<div class="card-body">
<h3 class="card-title">Modeling indoor covid-19 transmissions. (<a
href="video_covid19_modeling.html" target="_blank">Demo <i class="bi bi-link-45deg"></i></a>)</h3>
<p style="float:left;">Built a system to evaluate the spread of
covid-19 in indoor environments, by simulating human behavior
using Reinforcement Learning. Through realistic models of home
environments, and human behavior, we are understanding the spread
of covid-19 due to human movements, to identify possible
strategies to mitigate such spread. Click <a
href="video_covid19_modeling.html" target="_blank">here</a> for a demo video.
</p>
<div class="" style="float:right">
<video width="280" height="220" controls loop autoplay>
<source src="img/pandemic_modeling_example.mov" type="video/mp4">
Your browser does not support the video tag.
</video>
</div>
</div>
</div>
</div>
</div>
<!-- <div class="project row">
<div class="col-md-8">
<h4>Semi supervised method to implicitly learn intents from people's interactions</h4>
<p>Developed a semi-supervised labeling method to learn about the intent of Wikipedia editors when they edit articles. We proposed the method
to automatically learn about people's intent for edits to use that for developing article quality models.
</p>
</div>
</div> -->
</div>
<p> </p>
<script>
$(document).ready(() => {
$('<body>').append(Experience.$element);
});
</script>
<!-- Publications -->
<!-- <div class="row">
<div class="col-md-8" style="height: 100vh;">
<h2 id="publications" class="section-header">Publications</h2>
<strong>Peer-reviewed</strong><br/>
<ul>
<li class="paper" words="add, your, keywords, here">
<a href="#">Summaries, Highlights, and Action items - Design, implementation, and
evaluation of an LLM-powered meeting recap system</a> Sumit Asthana, Sagi Hilleli,
Pengcheng He, Aaron Halfaker, In submission to ACM conferene on Computer Supported
CSCW 2023</li>
<li class="paper" words="add, your, keywords, here">
<a href="#">Understanding Uncertainty Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making</a>
Snehal Prabhudesai, Sumit Asthana, Leyao Yang, Xun Huan, Q. Vera Liao, Nikola Banovic, Accepted, ACM conference on intelligent user interfaces (IUI) 2023</li>
<li class="paper" words="add, your, keywords, here"><a href="#">Teaching conversational agents how to ask questions to know
about their users</a> Nikola Banovic, Sumit Asthana, Yujian Liu, Yucen Sun, Renee Li, Nan Liu, Gaurav Shekhawat, In submission to MobileHCI 2023</li>
<li class="paper" words="add, your, keywords, here"><a href="#">Automatically Labeling Low
Quality Content on Wikipedia by Leveraging Patterns in Editing Behaviors</a>
Sumit Asthana, Sabrina Tobar Thommel, Aaron Halfaker, Nikola
Banovic, In Proceedings of the
ACM on Human-Computer Interaction, Vol. 5, No. CSCW2, Article 359 (October 2021). ACM 23 pages</li>
<li class="paper" words="add, your, keywords, here"><a href="#">Whodo: Automating reviewer suggestions at scale</a> Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Christian Bird, Chetan Bansal, Chandra Maddila, Sonu
Mehta, B. Ashok, Proceedings of the 2019 27th
ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of
Software Engineering. 2019. (FSE) </li>
<li class="paper" words="add, your, keywords, here"><a href="#">Rex: Preventing bugs and misconfiguration in large services using
correlated change analysis</a> Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, Chetan Bansal, Chandra Maddila, B. Ashok, Sumit Asthana,
Christian Bird, Aditya Kumar, 17th USENIX Symposium on Networked Systems Design and Implementation
(NSDI 20). 2020.</li>
<li class="paper" words="add, your, keywords, here"><a href="#">With Few Eyes, All Hoaxes are Deep</a> Sumit Asthana and Aaron Halfaker. 2018, In Proceedings of the
ACM on Human-Computer Interaction, Vol. 2, CSCW, Article 21 (November 2018). ACM, New York, NY. 18
pages. (Accpetance rate: 24%)</li>
</ul>
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