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Changbeom Shim

Postdoctoral Researcher

Education

Ph.D. in Computer Science and Engineering

Korea University, Seoul, South Korea
Mar. 2014 - Aug. 2019

B.E. in Electronics and Information Engineering

Korea University, Sejong, South Korea
Mar. 2007 - Feb. 2014

Research Interests

  • DATABASES
    - Query Processing
    - Spatio-Temporal Algorithms
  • DATA MINING
    - Visual Analytics
    - Geo-Social Networks
  • SIGNAL PROCESSING
    - Bayesian Learning
    - Multi-Object Tracking
  • MACHINE LEARNING
    - Graph Neural Networks
    - Anomaly Detection

Experiences

Research Fellow
Research Associate

Nov. 2022 - Present
Nov. 2019 - Nov. 2022
School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, Australia
  • Supervisors: Prof. Ba-Ngu Vo and Prof. Ba Tuong Vo

Research Assistant

Mar. 2014 - Aug. 2019
Department of Computer Science and Engineering, Korea University, Seoul, South Korea
  • Supervisor: Prof. Yon Dohn Chung

Visiting Student

Jan. 2019 - Feb. 2019
School of Engineering, RMIT University, Melbourne, Australia
  • Supervisor: Dr. Du Yong Kim

Student Researcher

Jul. 2013 - Feb. 2014
Korea Institute of Science and Technology Information, Daejeon, South Korea

Funded Projects

South Korea - Yon Dohn Chung (Korea University)
Australia - Changbeom Shim
"Privacy-preserving processing and sharing of spatio-temporal data" 20,000K KRW, 2024 - 2025
International Mobility Project - National Research Foundation of Korea, South Korea
Changbeom Shim, Ba Tuong Vo, Youngho Kim, Jin Bum Hong, Sanjeev Arulampalam, and Du Yong Kim
"Scalable sensor fusion for 3D environmental mapping" 150K AUD, 2023 - 2025 [Announcement][Media]
Collaborative Research Grant - Defence Science Centre, Department of Jobs Tourism Science and Innovation, Australia
Australia - Changbeom Shim, Ba-Ngu Vo, Ba Tuong Vo, Hoa Van Nguyen, and Tran Thien Dat Nguyen
South Korea - Yon Dohn Chung (Korea University), Hyunjin Choi (AIBIZ), and Yeonghun Chae (SEASON)
"Enhancing Australia-Korea emergency management capabilities" 23K AUD, 2024 - 2025 [Announcement]
Australia-Korea Foundation Grant - Australia-Korea Foundation, Department of Foreign Affairs and Trade, Australia
Changbeom Shim
"An intelligent system for crime analysis and prevention based on multi-object tracking and situational awareness" 40,000K KRW, 2020 - 2021
Postdoctoral Fellowship (Nurturing Next-generation Researchers) - National Research Foundation of Korea, South Korea
South Korea - Yon Dohn Chung (Korea University)
Australia - Ba-Ngu Vo, Ba Tuong Vo, Du Yong Kim, and Changbeom Shim
"A data-driven system for privacy-preserving pandemic prevention" 50,000K KRW, 2020 - 2021
International Joint Research - National Research Foundation of Korea, South Korea

Awards & Honors

[Nov. 2022] Best Paper Award, Int. Conf. on Cont., Auto. and Info. Sci. (ICCAIS)
[Oct. 2021] Best Paper Award (First Runner-Up), Int. Conf. on Cont., Auto. and Info. Sci. (ICCAIS)
[Sep. 2020] Postdoctoral Fellowship Program, National Research Foundation (NRF) of Korea
[Feb. 2019] KU Graduate Student Achievement Award, Korea University
[Jul. 2018] Student Paper Contest Award, Korea Computer Congress (KCC)
[Feb. 2018] Outstanding Ph.D. Candidate Paper Award, Korea University
[Oct. 2017] Honorable Mention, IEEE Visual Analytics Science and Technology (Challenge)
[May 2015] Outstanding Paper Award, Korean DataBase Conference (KDBC)

Publications

[20] Linh Van Ma, Tran Thien Dat Nguyen, Changbeom Shim, Du Yong Kim, Namkoo Ha, and Moongu Jeon
"Visual multi-object tracking with re-identification and occlusion handling using labeled random finite sets" [Preprint]
Pattern Recognition, Dec. 2024
[19] Ba-Ngu Vo, Ba-Tuong Vo, Tran Thien Dat Nguyen, and Changbeom Shim
"An Overview of Multi-Object Estimation via Labeled Random Finite Set" [Preprint]
IEEE Transactions on Signal Processing, Oct. 2024
[18] Hoa Van Nguyen, Tran Thien Dat Nguyen, Changbeom Shim, and Marzhar Anuar
"The Smooth Trajectory Estimator for LMB Filters" [Preprint][Project]
International Conference on Control, Automation and Information Sciences (ICCAIS), Nov. 2023
[17] Ji Youn Lee, Changbeom Shim, Hoa Van Nguyen, Tran Thien Dat Nguyen, Hyunjin Choi, and Younhgho Kim
"Label Space Partition Selection for Multi-Object Tracking Using Two-Layer Partitioning" [Preprint]
International Conference on Control, Automation and Information Sciences (ICCAIS), Nov. 2023
[16] Changbeom Shim, Ba-Tuong Vo, Ba-Ngu Vo, Jonah Ong, and Diluka Moratuwage
"Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering" [Preprint][Poster]
IEEE Transactions on Signal Processing, May 2023 (also presented in ICASSP 2024)
[15] Changbeom Shim, Wooil Kim, Tran Thien Dat Nguyen, Du Yong Kim, Yu Suk Choi, and Yon Dohn Chung
"CellTrackVis: interactive browser-based visualization for analyzing cell trajectories and lineages" [Project]
BMC Bioinformatics, Mar. 2023
[14] Changbeom Shim, Ji Youn Lee, Diluka Moratuwage, Du Yong Kim, and Yon Dohn Chung
"Generalized Label Grouping for Scalable Trajectory Estimation"
International Conference on Control, Automation and Information Sciences (ICCAIS), Nov. 2022
[13] Diluka Moratuwage, Changbeom Shim, and Yuthika Punchihewa
"A Moving Window Based Approach to Multi-Scan Multi-Target Tracking" Best Paper [Preprint]
International Conference on Control, Automation and Information Sciences (ICCAIS), Nov. 2022
[12] Diluka Moratuwage, Ba-Ngu Vo, Ba Tuong Vo, and Changbeom Shim
"Multi-Sensor Multi-Scan Multi-Object State Estimation" [Preprint]
IEEE Transactions on Signal Processing, Oct. 2022
[11] Cong-Thanh Do, Tran Thien Dat Nguyen, Diluka Moratuwage, Changbeom Shim, and Yon Dohn Chung
"Multi-object tracking with an adaptive generalized labeled multi-Bernoulli filter" [Project]
Signal Processing, Jul. 2022
[10] Jonah Ong, Ba Tuong Vo, Sven Nordholm, Ba-Ngu Vo, Diluka Moratuwage, and Changbeom Shim
"Audio-Visual Based Online Multi-Source Separation"
IEEE/ACM Transactions on Audio, Speech, and Language Processing, Mar. 2022
[9] Changbeom Shim, and Du Yong Kim
"Space-oriented Label Partitioning for Multi-object Tracking" Best Paper (First Runner-up)
International Conference on Control, Automation and Information Sciences (ICCAIS), Oct. 2021
[8] Wooil Kim, Changbeom Shim, and Yon Dohn Chung
"SkyFlow: A visual analysis of high-dimensional skylines in time-series" [Project]
Journal of Visualization, May 2021
[7] Tran Thien Dat Nguyen, Changbeom Shim, and Wooil Kim
"Biological Cell Tracking and Lineage Inference Via Random Finite Sets"
IEEE International Symposium on Biomedical Imaging (ISBI), Apr. 2021
[6] Changbeom Shim, Gyuhyeon Sim, and Yon Dohn Chung
"Cohesive Ridesharing Group Queries in Geo-Social Networks"
IEEE Access, May 2020
[5] Wooil Kim, Changbeom Shim, Wan Heo, Sungmin Yi, and Yon Dohn Chung
"Moving view field nearest neighbor queries"
Data & Knowledge Engineering, Jan. 2019
[4] Changbeom Shim, Wooil Kim, Wan Heo, Sungmin Yi, and Yon Dohn Chung
"Nearest close friend search in geo-social networks"
Information Sciences, Jan. 2018
[3] Wooil Kim, Changbeom Shim, Ilhyun Suh, and Yon Dohn Chung
"A Visual Explorer for Analyzing Trajectory Patterns" Honorable Mention (Challenge)
IEEE Visual Analytics Science and Technology (VAST), Oct. 2017
[2] Sungmin Yi, Changbeom Shim, and Yon Dohn Chung
"Reverse View Field Nearest Neighbor Queries"
Information Sciences, Sep. 2017
[1] Changbeom Shim, Wooil Kim, Wan Heo, Sungmin Yi, and Yon Dohn Chung
"ℓ-Close Range Friends Query on Social Grid Index"
IEICE Transaction on Information and Systems, Apr. 2017