Hello,

I am Sungwon In

a researcher specializing in immersive analytics and human-centered AI systems. I completed my Ph.D. at Virginia Tech under the guidance of Dr. Chris North and co-advisor Dr. Yalong Yang, as part of the Information Visualization group.

Currently, I am a postdoctoral researcher at Northeastern University, working with Dr. Mallesham Dasari. My research is expanding into AI-embedded extended reality (XR) systems, exploring how generative AI can enhance spatial interaction and sensemaking in immersive environments.

Projects

(Click the image to see the details of the project!)

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ACM CHI 2024

Evaluating Navigation and Comparison Performance of Computational Notebooks on Desktop and in Virtual Reality

ISMAR 2023

Multi-Focus Querying of the Human Genome Information on
Desktop and in Virtual Reality: an Evaluation

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IEEE TVCG 2023

This is the Table I Want!
Interactive Data Transformation on Desktop and in Virtual Reality

There are a lot more fun projects that are ongoing!
Please reach out to me know more! (sungwonin2112@gmail.com)

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IEEE ISMAR 2025

Exploring Organizational Strategies
in Immersive Computational Notebooks

Work Experience

Postdoctoral Researcher
(at Northeastern University)

  • Researching AI-embedded data analysis and human-computer interaction (HCI) within the field of Electrical and Computer Engineering (ECE).

  • Work Period : Aug 2025 ~ Current.

Graduate Research Assistant
(at Virginia Tech)

  • Research on data visualizations and human-computer interaction, especially for VR/AR environments.

  • Work Period : Aug 2021 ~ May 2025.

A.I. Research Engineer

  • Built, trained, and tested a data set for a team of 4 in order to improve the quality of detecting objects from indoor images in the real world.

  • Research on object recognition algorithms such as Yolact, PSPNet, and Mask-RCNN using Tensorflow.

  • Experienced in handling NVDIA’s A.I Infrastructure, NVIDIA DGX A100.

  • Work Period: Aug 2020 ~ Nov 2021.

Student Research Assistant
(under Dr. Demian Cho)

  • Researched information processing in spiking neural networks.

  • Built a statistical data processing pipeline.

  • Work Period: Jan 2018 ~ Nov 2018.

Student Research Assistant
(under Dr. Beth Weinman)

  • Assisting a research project of Dr. Elizabeth Weinman in the Geology department

  • Built a website with that user interface allowing users to find values from the "Hjulstrom curve" that doesn't have an analytic expression.

  • Work Period: Dec 2015 ~ May 2016