Projects per year
Organization profile
Organization profile
The mission of the Center for Big Data is to synergize expertise in various disciplines across the NJIT campus and build a unified platform that embodies a rich set of big data-enabling technologies and services with optimized performance to facilitate research collaboration and scientific discovery. Current research projects at the center focus on the development of high-performance networking and computing technologies to support big data applications. We are building fast, reliable data-transfer systems to help users in a wide spectrum of scientific domains move big data over long distances for collaborative data analytics. We are also developing high-performance workflow processes to manage the execution and optimize the performance of large-scale scientific workflows in various big data computing environments, including Hadoop/MapReduce and Spark. Furthermore, we are developing new machine-learning, data-mining and data-management techniques to address volume, variety, velocity, variability, and veracity challenges to enable big data analytics and predictive modeling in real-life applications. For example, we are developing a platform for analyzing user-contributed social media data to discover adverse drug effects, a leading cause of death. We are also developing data-driven methods to analyze web-page browsing behaviors to better understand user needs as well as the economics that sustain the free Web. These projects have been supported by the Leir Charitable Foundations, the National Science Foundation and Google.
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Collaborations and top research areas from the last five years
Profiles
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Collaborative Research: SaTC: CORE: Medium: Understanding the Impact of Privacy Interventions on the Online Publishing Ecosystem
2/15/23 → 1/31/26
Project: Research project
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Mri Collaborative: Development Of Esprit - Emerging Systems' Performance And Energy Evaluation Instruments And Testbench
10/1/18 → 9/30/20
Project: Research project
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Csr: Small: Collaborative Research: An Integrated Approach To Performance Modeling And Optimization Of Big-Data Scientific Workflows
8/28/15 → 9/30/17
Project: Research project
Research output
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Blockchain-Based P2P Content Delivery With Monetary Incentivization and Fairness Guarantee
He, S., Lu, Y., Tang, Q., Wang, G. & Wu, C. Q., Feb 1 2023, In: IEEE Transactions on Parallel and Distributed Systems. 34, 2, p. 746-765 20 p.Research output: Contribution to journal › Article › peer-review
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CaFANet: Causal-Factors-Aware Attention Networks for Equipment Fault Prediction in the Internet of Things
Gui, Z., He, S., Lin, Y., Nan, X., Yin, X. & Wu, C. Q., Aug 2023, In: Sensors. 23, 16, 7040.Research output: Contribution to journal › Article › peer-review
Open Access -
CM-CASL: Comparison-based performance modeling of software systems via collaborative active and semisupervised learning
Cao, R., Bao, L., Wu, C., Zhangsun, P., Li, Y. & Zhang, Z., Jul 2023, In: Journal of Systems and Software. 201, 111686.Research output: Contribution to journal › Article › peer-review