Alex Sim is a senior computing engineer in Scientific Data Management group
under Scientific Data division at Lawrence Berkeley National Laboratory.
Over the last thirty years,
he has worked on R&D in data analysis and management fields for scientific and industrial disciplines such as
astronomy,
climate change simulation,
combustion modeling,
cosmology,
fusion science,
genomics,
geology,
high energy physics,
networking,
nuclear science,
power grid electricity,
and behavioral economics.
His recent research area includes
statistical modeling and machine learning methods
for
autonomous scientific data infrastructure,
high-frequency streaming data analysis methods,
dynamic resource management,
and
I/O optimization issues for exascale HPC applications.
He has extensive grant proposal writing experience and led projects from the U.S. Department of Energy (DOE) and National Science Foundation (NSF) as a lead Principal Investigator (PI) or Co-PI.
He also has involved in technical program committees,
steering and advisory committees for conferences,
journal editorial boards,
and
review panels
in data, cloud computing, HPC, and networking areas.
He has contributed to
paper publications and technical reports,
standard specifications,
a number of open source software packages,
and multiple patented technologies.
He is a senior member of IEEE.
 Selected projects-
 Data Analysis and Machine Learning Efforts
Publications from student projects
- Selected publications
-
- C. Kim, E. Sohn, S. Kim, A. Sim, K. Wu, H. Tang, Y. Son, S. Kim, "ScaleQsim: Highly Scalable Quantum Circuit Simulation Framework for Exascale HPC Systems", ACM SIGMETRICS, Vol. 9, No. 3, Article 62, 2026. doi:10.1145/3771577.
- A. Sim, E. Wang, R. Monga, K. Wu, C. Guok, I. Monga, D. Davila, F. Wurthwein, J. Balcas, H. Newman, "Comparing Cache Utilization Trends for Regional Data Caches", European Physical Journal (EPJ) Web of Conferences, Vol. 337, No. 01341, 2025. doi:10.1051/epjconf/202533701341.
- D.K. Sung, Y. Son, A. Sim, K. Wu, S. Byna, H. Tang, H. Eom, C. Kim, S. Kim, "A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis", 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2024), 2024. doi:10.1109/IPDPS57955.2024.00051.
- S. Kim, A. Sim, K. Wu, S. Byna, Y. Son, H. Eom, "Design and Implementation of I/O Performance Prediction Scheme on HPC Systems through Large-scale Log Analysis", Journal of Big Data, Vol. 10, Article 65, 2023. doi:10.1186/s40537-023-00741-4.
- J. Wang, K. Wu, A. Sim, S. Hwangbo, "Locating Partial Discharges in Power Transformers with Convolutional Iterative Filtering", Sensors, Vol. 23, no. 4: 1789, MDPI, 2023. doi:10.3390/s23041789.
- B. Weinger, J. Kim, A. Sim, M. Nakashima, N. Moustafa, K. Wu, "Enhancing IoT Anomaly Detection Performance for Federated Learning", Digital Communications and Networks, Special Issue on Edge Computation and Intelligence, Vol. 8, no. 3, pp. 314-323, 2022. ISSN 2352-8648. doi:10.1016/j.dcan.2022.02.007.
- M. Nakashima, A. Sim, Y. Kim, J. Kim, J. Kim, "Automated Variable Selection for Network Anomaly Detection", ACM Transactions on Management Information Systems (TMIS), 2021. doi:10.1145/3446636.
- S. Kim, A. Sim, K. Wu, S. Byna, Y. Son, H. Eom, "Towards HPC I/O performance prediction through large-scale log analysis", ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2020), 2020. doi:10.1145/3369583.3392678
- J. Kim, A. Sim, "A new approach to multivariate network traffic analysis", Journal of Computer Science and Technology, 2019, 34(2):388-402, doi: 10.1007/s11390-019-1915-y.
- A. Lazar, L. Jin, C. A. Spurlock, K. Wu, A. Sim, A. Todd, "Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization", ACM Journal of Data and Information Quality, 2019, 11:7:1-7:22, doi: 10.1145/3301294.
- J. Kim, A. Sim, B. Tierney, S. Suh, I. Kim, "Multivariate Network Traffic Analysis using Clustered Patterns", Journal of Computing, Springer, 2018. doi:10.1007/s00607-018-0619-4.
- J. Wang, W. Yoo, A. Sim, P. Nugent, K. Wu, "Parallel Variable Selection for Effective Performance Prediction", the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid2017), doi:10.1109/CCGRID.2017.47, 2017.
- D. Lee, A. Sim, J. Choi, K. Wu, "Novel Data Reduction Based on Statistical Similarity", Proceedings of the 28th International Conference on Scientific and Statistical Database Management (SSDBM2016), 2016.
- W. Yoo, A. Sim, "Time-series Forecast Modeling on High-Bandwidth Wide Area Network Measurements", Journal of Grid Computing, Vol. 14, Issue 3, pp 463-476, Sep. 2016.
- K. Hu, J. Choi, A. Sim, J. Jiang, "Best Predictive Generalized Linear Mixed Model with Predictive Lasso for High-Speed Network Data Analysis", International Journal of Statistics and Probability, vol. 4, no. 2, p132-148, 2015
- Other documents
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lbl.gov