Research

Active Projects and Research Areas for Centers

Research

Overview of Active Projects

Selected Grants

  • "New Jersey Alliance for Clinical Translational Science: NJ ACTS" NJIT PIs: Guiling Grace, Xiaoyang Xu, Rutgers, 3/1/2022 - 2/28/2022
  • "NJ ACTS - Workforce Development/Pilots," NJIT PI: Guiling Grace, Rutgers, 3/1/2022 - 2/28/2023
  • Decentralized Vehicle Credential Management System Based on Consortium Blockchain. FHWA EAR, 2020-2023. PI, Grace Guiling Wang.
  • Model-Based Reinforcement Learning with Active Learning for Efficient Electrical Power Converter Design. DOE & IBM, 2020-2022. PI, Jing Li.
  • CRII: RI: Fairness and Profitability in Online Matching Markets. NSF, 2020-2022. PI, Pan Xu
  • EAGER: Collaborative Research: Understanding Human Behaviors and Mental Health using Federated Machine Learning on Smart Phones. NSF, 2020-2022. PI, Hai Phan.
  • A Humans-in-the-loop Optimization Framework for Designing Derived Attributes in Data Science, NSF, 2020-2023. PI, Senjuti Basu Roy.

Layer 1: Big Data Repository

Goals: Share data and analysis results for community building

Tasks: Standardize, categorize, and benchmark datasets

Layer 2: Big Data Technological Infrastructure

Goals: Provide generic and special big-data enabling solutions

Tasks: Investigate, design, develop, implement, and test big data-oriented analytics, visualization, computing, networking, workflow, storage, and retrieval solutions

Layer 3: Big Data Applications

Goals: Advances sciences in various domains

Tasks: Adapt, customize, and refine application-specific solutions

 

Recent Publications:

W. Liu, D. Yun, and C.Q. Wu., "GLEE: GPR-based Latent Effect Elimination for Performance Prediction of Big Data Transfer," In Proceedings of the IEEE Global Communications Conference, Rio de Janeiro, Brazil, December 4-8, 2022 (Globecom22).

S. He, Y. Lu, Q. Tang, G. Wang, and C.Q. Wu., "Blockchain-Based P2P Content Delivery with Monetary Incentivization and Fairness Guarantee," Accepted by IEEE Transactions on Parallel and Distributed Systems, October 2022 (TPDS22).

E. Kenney, Q. Tang, and C.Q. Wu., "Anonymous Traceback for End to End Encryption," In Proceedings of the 27th European Symposium on Research in Computer Security, September 26, 2022 (ESORICS22).

S. He, T. Sun, Q. Tang, C.Q. Wu, N. Lipka, C. Wigington, and R. Jain. "Secure and Efficient Agreement Signing atop Blockchain and Decentralized Identity," In Proceedings of International Conference on Blockchain and Trustworthy Systems, Chengdu, China, August 4-5, 2022 (BlockSys22).

H. Alquwaiee and C.Q. Wu. "On Performance Modeling and Prediction for Spark-HBase Applications in Big Data Systems”. In Proc. of IEEE International Conference on Communications, Seoul, South Korea, May 16-20, 2022 (ICC22).

C.Q. Wu (guest editor). Special Issue on "Workflows in Support of Large-Scale Science", Concurrency and Computation: Practice and Experience (CCPE), Wiley, March 2022.

Dongliang Chu, Chase Q. Wu, "Generalizing the Over Operator for Parallelization and Order-independency," Journal of Parallel and Distributed Computing, vol. 151, pp. 52-60, May 2021 (JPDC21).

Daqing Yun, Wuji Liu, Chase Q. Wu, Nageswara S.V. Rao, and Rajkumar Kettimuthu, "Exploratory Analysis and Performance Prediction of Big Data Transfer in High-performance Networks," Engineering Applications of Artificial Intelligence, vol. 102, 104285, June 2021 (EAAI21).

Qianwen Ye, Wuji Liu, Chase Q. Wu, "NoStop: A Novel Configuration Optimization Scheme for Spark Streaming," In Proceedings of the 50th International Conference on Parallel Processing, Argonne National Laboratory in Chicago, IL, USA, August 9-12, 2021 (ICPP21).

Cybersecurity Research Center is currently supporting the following externally funded projects with collaborators.

Our center has also supported the following past externally funded projects since our founding in 2014: