Ji Hwan Park
Ji Hwan Park

I'm a Ph.D. student working with prof. Arie Kaufman and Visualization Lab at Stony Brook University. My research interests are visual analytics, data (scientific & information) visualization, crowdsourcing, and human computer interaction.

Curriculum Vitae

Projects

Aesthetically Pleasing Charts for Casual Information Visualization

Graphoto: a framework that automatically generates a photo or adjusts an existing one to match a line graph. More INFO

Ji Hwan Park, Arie Kaufman, and Klaus Mueller, "Graphoto: Aesthetically Pleasing Charts for Casual Information Visualization", IEEE Computer Graphics and Application (accepted)

Saliency-Aware Compression

A transfer-function-guided 3D blockbased saliency-aware compression scheme for volumetric data that is both content- and spatially-scalable. More INFO

Ji Hwan Park, Ievgeniia Gutenko, and Arie Kaufman, "Transfer Function-Guided Saliency-Aware Compression for Transmitting Volumetric Data", IEEE Transaction on Multimedia (accepted)

Crowd Consensus Analytics for Virtual Colonoscopy

C2A: a visual analytic framework to help clinical technicians obtain the best results from a crowdsourced VC application More INFO

Ji Hwan Park, Seyedkoosha Mirhosseini, Saad Nadeem, Joseph Marino, Arie Kaufman, Kevin Baker, and Matthew Barish, "Crowdsourcing for Identification of Polyp-Free Segments in Virtual Colonoscopy Videos", SPIE Medical Imaging, 101380V, 2017 (oral presentation)

Ji Hwan Park, Saad Nadeem, Seyedkoosha Mirhosseini, and Arie Kaufman, "C2A: Crowd Consensus Analytics for Virtual Colonoscopy", IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 21-30, 2016

Turning Digital Photos into Ambient Visualizations

ambienizer
Ambienizer: a visual encoding approach that seeks to convey a user's personal data in a casual non-technical way

Ji Hwan Park, Nafees Ahmed, Arie Kaufman, and Klaus Mueller, "Ambienizer: Turning Digital Photos into Ambient Visualizations", submitted to IEEE Computer Graphics and Application

Crowd Analytics for Medical Imaging Data

ambienizer
CMed: a visual analytic framework to allow crowdsourcing application analysts/developers to observe patterns and gather insights into the crowdsourced medical data

Ji Hwan Park, Saad Nadeem, Saeed Boor Boor, Joseph Marino, and Arie Kaufman, "CMed: Crowd Analytics for Medical Imaging Data", submitted to IEEE Transaction on Multimedia

Ji Hwan Park, Saad Nadeem, Joseph Marino, Kevin Baker, Matthew Barish, and Arie Kaufman, "Crowd-Assisted Polyp Annotation of VirtualColonoscopy Videos", SPIE Medical Imaging 2018 (accepted;oral presentation)

Exploration of Spatio-Temporal Data

geobrick
GeoBrick: a visual framework to explore multivariate spatio-temporal data for domain experts

Ji Hwan Park, Saad Nadeem, and Arie Kaufman, "GeoBrick: Exploration of Spatio-Temporal Data", The Visual Computer (under minor revisions)