BAE LAB

BIGDATA ANALYTICS ENGINEERING LAB Β· PNU

Pusan National University logo
SCSC logo
Smart Chain logo
DS logo
baelab logo

From Raw Data to Operational Intelligence.

We fuse advanced analytics, AI engineering, and domain knowledge to transform complex industrial processes into measurable, optimizable, and sustainable systems.

Research Scope

The Bigdata Analytics Engineering (BAE) Lab develops data-driven solutions to address industrial challenges and to advance the servitization and systematization of operations. Harnessing the power of cloud and IoT-era data, we uncover hidden performance drivers that enhance efficiency and productivity across port logistics, shipbuilding, manufacturing, service industries, and defense β€” converting raw operational traces into structured, decision-ready intelligence.

Our work spans the entire lifecycle (acquisition β†’ curation β†’ feature abstraction β†’ AI & hybrid RL/OR with simulation-driven optimization β†’ deployment & monitoring) and integrates deep learning, reinforcement learning, process mining, and large-scale data engineering. Our collaborations foster technology transfer and commercialization, enabling sustainable improvements in industrial efficiency and productivity.

Contact & Location

Room 602, 10th Engineering Building, Pusan National University

Email: hrbae@pusan.ac.kr

Prospective students: include transcripts (unofficial OK), a ≀300 word statement, and any project/research artifacts.

News

Sep 09, 2025 すごい!! πŸŽ‰πŸŽ‰πŸŽ‰
쑰상민 got the ICICIC2025 Best Presentation Award!!!!
by 쑰상민
Sep 04, 2025 BPM 2025 Presenter 이용재!!
by μ΄μš©μž¬κΉ€λ„ν¬
Aug 28, 2025 η₯θ΄Ί!! πŸŽ‰πŸŽ‰πŸŽ‰πŸ‡¨πŸ‡³
μΆ”μ •ν˜Έ μ΄κ²½ν›ˆ presented at 13th International Conference on Logistics and Maritime Systems (LOGMS 2025) ,Sanghai,China !
by μΆ”μ •ν˜Έμ΄κ²½ν›ˆ
Aug 26, 2025 すごい!! πŸŽ‰πŸŽ‰πŸŽ‰
쑰상민, 홍성문 presented at 19th International Conference on Innovative Computing, Information and Control (ICICIC2025).
by 쑰상민홍성문
Jul 19, 2025 Shiok ah πŸ‡ΈπŸ‡¬πŸ¦πŸŒΊ~!
Dohee Kim and Jaeeun Kwon have invited in INFORMS International 2025.
by κΉ€λ„ν¬κΆŒμž¬μ€

Selected Publications

  1. J. Forecasting
    Long-term forecasting of maritime economics index using time-series decomposition and two-stage attention
    Dohee Kim, Eunju Lee, Imam Mustafa Kamal, and 1 more author
    Journal of Forecasting. JCR Q1, Top 16.17%!!! , 2025
  2. TPAMI
    Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data
    Sunghyun Sim, Dohee Kim, and Hyerim Bae
    IEEE Transactions on Pattern Analysis and Machine Intelligence. JCR Q1, Top 0.85%!!!! , 2023
  3. Eng.Inform.
    Semi-supervised binary classification with latent distance learning
    Imam Mustafa Kamal and Hyerim Bae
    Advanced Engineering Informatics. JCR Q1, Top 2.21%!!! , 2024
  4. TRD
    Deep collaborative learning model for port-air pollutants prediction using automatic identification system
    Sunghyun Sim, Jin-Hyoung Park, and Hyerim Bae
    Transportation Research Part D: Transport and Environment. JCR Q1, Top 8.62%!!! , 2022
  5. IEEE TSC
    Bagging recurrent event imputation for repair of imperfect event log with missing categorical events
    Sunghyun Sim, Hyerim Bae, and Ling Liu
    IEEE Transactions on Services Computing. JCR Q1, Top 7.5%!!! , 2021