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Sarah Hwang

dblp:51/480 · also Sara Hwang · DBLP profile ↗
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3ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 2 · 2 since 2021Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Computational geometry · 100%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 44% Design research and methods · 44% Ubiquitous computing and smart environments · 13%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational geometry
metric geometry
1.622025
Software for the Thompson and Funk Polygonal Geometry (Media Exposition) · SoCG 2025
Ipelets for the Convex Polygonal Geometry (Media Exposition) · SoCG 2024
Visualization and visual analytics › scientific visualization
geometric visualization
0.912025
Software for the Thompson and Funk Polygonal Geometry (Media Exposition) · SoCG 2025
Computational geometry
polygon geometry
0.912025
Software for the Thompson and Funk Polygonal Geometry (Media Exposition) · SoCG 2025
Computational geometry › convex geometry
convex polygon
0.812024
Ipelets for the Convex Polygonal Geometry (Media Exposition) · SoCG 2024
Computational geometry › geometric modeling and processing
minkowski sum
0.812024
Ipelets for the Convex Polygonal Geometry (Media Exposition) · SoCG 2024
Computational geometry
visualization
0.812024
Ipelets for the Convex Polygonal Geometry (Media Exposition) · SoCG 2024
Design research and methods
participatory design
0.412020
The Next Generation of Human-Drone Partnerships: Co-Designing an Emergency Response System · CHI 2020
Ubiquitous computing and smart environments
emergency response
0.112020
The Next Generation of Human-Drone Partnerships: Co-Designing an Emergency Response System · CHI 2020

Methods — techniques the papers use, named apart from their topics

thompson metric · 1.7hilbert metric · 1.7funk metric · 1.7scenario-driven design · 0.4participatory design · 0.4SA cards · 0.4
YearPublicationVenuePosition
2025 Software for the Thompson and Funk Polygonal Geometry (Media Exposition)
abstract
Metric spaces defined within convex polygons, such as the Thompson, Funk, reverse Funk, and Hilbert metrics, are subjects of recent exploration and study in computational geometry. This paper contributes an educational piece of software for understanding these unique geometries while also providing a tool to support their research. We provide dynamic software for manipulating the Funk, reverse Funk, and Thompson balls in convex polygonal domains. Additionally, we provide a visualization program for traversing the Hilbert polygonal geometry.
Hridhaan Banerjee, Carmen Isabel Day, Auguste H. Gezalyan, Olga Golovatskaia, Megan Hunleth, Sarah Hwang, Nithin Parepally, Lucy Wang, David M. Mount
SoCG6
2024 Ipelets for the Convex Polygonal Geometry (Media Exposition)
abstract
There are many structures, both classical and modern, involving convex polygonal geometries whose deeper understanding would be facilitated through interactive visualizations. The Ipe extensible drawing editor, developed by Otfried Cheong, is a widely used software system for generating geometric figures. One of its features is the capability to extend its functionality through programs called Ipelets. In this media submission, we showcase a collection of new Ipelets that construct a variety of geometric objects based on polygonal geometries. These include Macbeath regions, metric balls in the forward and reverse Funk distance, metric balls in the Hilbert metric, polar bodies, the minimum enclosing ball of a point set, and minimum spanning trees in both the Funk and Hilbert metrics. We also include a number of utilities on convex polygons, including union, intersection, subtraction, and Minkowski sum (previously implemented as a CGAL Ipelet). All of our Ipelets are programmed in Lua and are freely available.
Nithin Parepally, Ainesh Chatterjee, Auguste H. Gezalyan, Hongyang Du 0002, Sukrit Mangla, Kenny Wu, Sarah Hwang, David M. Mount
SoCG7
2020 The Next Generation of Human-Drone Partnerships: Co-Designing an Emergency Response System
abstract
The use of semi-autonomous Unmanned Aerial Vehicles (UAV) to support emergency response scenarios, such as fire surveillance and search and rescue, offers the potential for huge societal benefits. However, designing an effective solution in this complex domain represents a "wicked design" problem, requiring a careful balance between trade-offs associated with drone autonomy versus human control, mission functionality versus safety, and the diverse needs of different stakeholders. This paper focuses on designing for situational awareness (SA) using a scenario-driven, participatory design process. We developed SA cards describing six common design-problems, known as SA demons, and three new demons of importance to our domain. We then used these SA cards to equip domain experts with SA knowledge so that they could more fully engage in the design process. We designed a potentially reusable solution for achieving SA in multi-stakeholder, multi-UAV, emergency response applications.
Ankit Agrawal 0002, Sophia J. Abraham, Benjamin Burger, Chichi Christine, Luke Fraser, John M. Hoeksema, Sarah Hwang, Elizabeth Travnik, Shreya Kumar, Walter J. Scheirer, Jane Cleland-Huang, Michael Vierhauser, Ryan Bauer, Steve Cox 0002
CHI7