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Dr. Lipeng Wan is a tenure-track Assistant Professor of Computer Science at Georgia State University (GSU). Prior to joining GSU, he was a Computer Scientist in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL). Before he became a full-time research staff in 2018, he worked as a postdoctoral research associate at ORNL for two years. He obtained his Ph.D. degree in computer science from the University of Tennessee, Knoxville in 2016.

His primary research interests include scientific data management and analytics, high-performance and data-intensive computing, performance and resilience optimization for distributed systems. He has published numerous research papers in high-quality journals and conference proceedings, including IEEE TPDS, Elsevier JPDC, IEEE/ACM SC, IEEE ICDCS, ACM HPDC, IEEE IPDPS, etc.

Dr. Wan is always looking for self-motivated Ph.D. students. If you are interested in the area of data management, HPC, storage systems, distributed systems, etc., feel free to send your CV and transcript to him.

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Selected Publications All Publications»

• ACM HPDC'23 "RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data", Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian Foster, Scott Klasky. Proceedings of the ACM 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023.
• IEEE CLUSTER'23 "SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments", Xinying Wang, Lipeng Wan, Scott Klasky, Dongfang Zhao, Feng Yan. Proceedings of the IEEE International Conference on Cluster Computing, 2023.
• IEEE TPDS "Understanding the Impact of Data Staging for Coupled Scientific Workflows", Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress,David Pugmire, Scott Klasky. IEEE Transactions on Parallel and Distributed Systems, Vol. 33, Iss. 12, pp. 4134-4147, 2022.
• IEEE IPDPS'22 "P-ckpt: Coordinated Prioritized Checkpointing", Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky. Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022.
• IEEE TPDS "Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization", Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd Munson, Ian Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky. IEEE Transactions on Parallel and Distributed Systems, Vol. 33, Iss. 4, pp. 878-890, 2022.
• IEEE TC "MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction", Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki,, Scott Klasky. IEEE Transactions on Computers, Vol. 7, Iss. 7, pp. 1522-1536, 2021.
• IEEE IPDPS'21 "Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs", Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd Munson, Ian Foster, Scott Klasky. Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2021.
• IEEE SC'21 "Error-Controlled, Progressive, and Adaptable Retrieval of Scientific Data with Multilevel Decomposition", Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2021.
• ACM HPDC'20 "Orchestrating Fault Prediction with Live Migration and Checkpointing", Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky. Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020.
• IEEE ICDCS'17 "Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System", Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky. Proceedings of the IEEE 37th International Conference on Distributed Computing Systems, 2017.
• IEEE HPCC'17 "Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer", Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky. Proceedings of the IEEE 19th International Conference on High Performance Computing and Communications, 2017.
• Elsevier JPDC "Optimizing Checkpoint Data Placement with Guaranteed Burst Buffer Endurance in Large-Scale Hierarchical Storage Systems", Lipeng Wan, Qing Cao, Feiyi Wang, Sarp Oral. Journal of Parallel and Distributed Computing, Vol. 100, pp. 16-29, 2017.
• IEEE/ACM SC'15 "A Practical Approach to Reconciling Availability, Performance, and Capacity in Provisioning Extreme-scale Storage Systems", Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2015.
• MSST'14 "SSD-Optimized Workload Placement with Adaptive Learning and Classification in HPC Environments", Lipeng Wan, Zheng Lu, Qing Cao, Feiyi Wang, Sarp Oral, Bradley Settlemyer. Proceedings of the 30st International Conference on Massive Storage Systems and Technology, 2014.

All Publications »

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Professional Service

University Service

• CS@GSU: Chair of Undergraduate Research Committee

Review Panel for Grants

• DOE: SBIR/STTR Programs

Journal Manuscript Reviewing

• IEEE TPDS
• ACM TOS
• ACM TOPC
• ACM TECS
• JPDC
• Concurrency and Computation: Practice & Experience
• Parallel Computing
• Scientific Reports
• IEEE Wireless Communications
• IEEE Access
• Expert Systems with Applications
• Peer-to-Peer Networking and Applications
• Pervasive and Mobile Computing
• Statistical Analysis and Data Mining

Conference Program Committee

• ISC: 2024
• IEEE/ACM SC: 2023, 2022
• ACM ICPP: 2023
• IEEE Cluster: 2023
• IEEE ICCCI: 2023
• IEEE HiPC: 2022
• IEEE HPCC: 2022, 2021, 2020
• IEEE GLOBECOM: 2020, 2019

Workshop Committee

• FTXS: 2023, 2022, 2021
• REX-IO: 2023

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Courses

• CSC4210/6210 Computer Architecture (Fall 2023, Fall 2022)
• CSC4311/6311 Cloud Computing (Spring 2023)

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Students

• Ph.D. Students
• Ning Yan
• Vladislav Esaulov

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Awards and Honors

• ORNL Exceptional Contribution Award, Oak Ridge National Laboratory, 2021.
• ORNL Outstanding Contribution Award, Oak Ridge National Laboratory, 2019.
• IEEE HPCC'17 Best Paper Finalist Award, "Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer", IEEE 19th International Conference on High Performance Computing and Communications, 2017.
• ORNL Outstanding Post-Doc Award, Oak Ridge National Laboratory, 2017.