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.

Fingerprint Dive into the research topics where Center for Big Data is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Data transfer Engineering & Materials Science
Network performance Engineering & Materials Science
Scheduling Engineering & Materials Science
Bandwidth Engineering & Materials Science
XML Engineering & Materials Science
Throughput Engineering & Materials Science
Wide area networks Engineering & Materials Science
Scheduling algorithms Engineering & Materials Science

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Profiles

No photo of Chase Wu
20012020

Projects 2012 2020

Arts computing
Data storage equipment
Energy efficiency
Learning systems
Computer systems
XML
Education
Query processing
Technical presentations
Search engines

Research Output 2002 2019

An improved data anonymization algorithm for incomplete medical dataset publishing

Liu, W., Pei, M., Cheng, C., She, W. & Wu, C., Jan 1 2019, Proceedings of the 2nd International Conference on Healthcare Science and Engineering. Li, X., Wu, C. Q., Chyu, M-C. & Lloret, J. (eds.). Springer Verlag, p. 115-128 14 p. (Lecture Notes in Electrical Engineering; vol. 536).

New Jersey Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Entropy
Availability

An Integrated High-Performance Transport Solution for Big Data Transfer over Wide-Area Networks

Lyu, X., Wu, C. & Rao, N. S. V., Jan 22 2019, Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018. Institute of Electrical and Electronics Engineers Inc., p. 1661-1668 8 p. 8623008. (Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018).

New Jersey Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wide area networks
Data transfer
Transmission control protocol
Visualization
Stabilization

Bandwidth reservation for data transfers through multiple disjoint paths of dynamic HPNs

Zuo, L., Zhu, M., Wu, C., Hou, A. & Cao, L., Aug 2019, Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019. Xiao, Z., Yang, L. T., Balaji, P., Li, T., Li, K. & Zomaya, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 2455-2460 6 p. 8855448. (Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019).

New Jersey Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data transfer
Bandwidth
Heuristic algorithms
Network performance
Reservation