Data reduction & compression
Compression quality prediction and configuration selection for scientific datasets.
HPDi Lab
HPDi Lab is led by Jinzhen Wang in the Department of Computer Science at the University of North Carolina at Charlotte. We study high-performance computing and scientific data management, developing efficient methods for data reduction, compression, and data access in parallel and distributed systems. Our research combines system design, performance modeling, and machine learning to manage large scientific datasets and guide compression decisions. Our mission is to reduce the cost of storing, moving, and processing scientific data while preserving the information needed for analysis and discovery.
Research
Scientific data management
Progressive retrieval and efficient access to large scientific datasets.
Parallel & distributed systems
Performance modeling and data movement across modern computing and storage systems.
Projects
People
Jinzhen Wang
Principal Investigator
Biography
Jinzhen Wang
Principal Investigator
Jinzhen Wang is an Assistant Professor in the Department of Computer Science at the University of North Carolina at Charlotte, where he leads the High-Performance Data Intensive (HPDi) Lab. His research spans high-performance computing, scientific data management, and machine learning, with an emphasis on scientific data compression, progressive retrieval, and performance modeling. He develops methods to reduce the storage and data movement costs of large scientific datasets while preserving their usefulness for analysis and learning. His work has appeared in venues including SC, ICDE, IPDPS, IEEE TPDS, and IEEE TC. Dr. Wang earned his Ph.D. in Electrical Engineering from the New Jersey Institute of Technology in 2023 under the supervision of Dr. Qing Liu, and his bachelor’s degree from Shandong University in 2015. Before joining UNC Charlotte, he served as an Assistant Professor at Brooklyn College, City University of New York. He was a research intern at Los Alamos National Laboratory from 2022 to 2023.
Data reduction and compression, Scientific data management, Parallel and distributed systems
Khondoker Mirazul Mumenin
Ph.D. student
Biography
Khondoker Mirazul Mumenin
Ph.D. student
Bachelor’s degree in Electronics and Communication Engineering from Khulna University, Bangladesh.
Machine learning for scientific data compression and efficient, scalable scientific computing workflows.
Joined 2024
Jiaxiang Zhang
Ph.D. student
Biography
Jiaxiang Zhang
Ph.D. student
Dual bachelor’s degrees in Applied Mathematics and Information Science, with a minor in Data Science, from UNC Chapel Hill (2025).
Joined 2025
Aagat Pokhrel
Ph.D. student
Biography
Aagat Pokhrel
Ph.D. student
Joined 2026
Alumni
Raivat Alwar
M.S. student
Biography
Raivat Alwar
M.S. student
Bachelor’s degree in Computer Science & Engineering from the University of California, Merced (2024).
Adelina Zheng
Summer REU student
Biography
Adelina Zheng
Summer REU student
Undergraduate student at Brown University.
Sponsors
