General Lab Information

Ji Hwan Park

Research Associate

Expertise

  • Machine Learning
  • Visual Analytics
  • Visualization

Education

Ph.D., Stony Brook University, USA

M.S., KAIST, Korea

B.S., Hongik University, Korea

Professional Appointments

Jan. 2018 – present                     Research Associate, Brookhaven National Lab.

Selected Publications & Research Highlights

Ji Hwan Park, Saad Nadeem, and Arie Kaufman, “GeoBrick: Exploration of Spatio-Temporal Data”, to be appeared in The Visual Computer, 2018

Ji Hwan Park, Saad Nadeem, Joseph Marino, Kevin Baker, Matthew Barish, and Arie Kaufman, “Crowd-Assisted Polyp Annotation of Virtual Colonoscopy Videos”, SPIE Medical Imaging, 105790M, 2018

Saeed Boorboor, Saad Nadeem, Ji Hwan Park, Kevin Baker, Arie Kaufman, “Crowdsourcing Lung Nodules Detection and Annotation”, SPIE Medical Imaging, 105791D, 2018 

Ji Hwan Park, Ievgeniia Gutenko, and Arie Kaufman, “Transfer Function-Guided Saliency-Aware Compression for Transmitting Volumetric Data”, to be appeared in IEEE Transaction on Multimedia, 2018

Ji Hwan Park, Arie Kaufman, and Klaus Mueller, “Graphoto: Aesthetically Pleasing Charts for Casual Information Visualization”, to be appeared in IEEE Computer Graphics and Application, 2018

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

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