Activities
Center Activities
Dr. Chase Wu Recent Activities:
DOE Grant Will Recalibrate Current Climate Change Data
Professors Aritra Dasgupta and Chase Wu from the Department of Data Science in NJIT’s Ying Wu College of Computing are developing software to take more advantage of simulation data used to study climate science through a $145,972 grant from the U.S. Department of Energy (DOE). The project aims to improve existing methods traditionally employed by climate scientists to more reliably predict the effects of cloud simulations related to global warming.
The Research and Development Pilot Program awards over $4 million in funding to colleges and universities under-represented in DOE’s foundational climate, Earth, and environmental science research investments. The grants will help build capacity and achieve the goal of broadening institutional participation in DOE’s science investments.
Dasgupta is the principal investigator for the project, A Scientist-in-the-Loop Data Analytics Framework for Intelligent Simulation Model Tuning and Validation. The expected outcome will be interactive and user-friendly software that carefully combines domain knowledge with data science methods, empowering scientists to focus on model development without worrying about the scale and complexity of simulation data. The findings will have a direct impact on addressing urgent issues of climate change, particularly natural disasters such as hurricanes, tornados and flooding, among other extreme events.
3rd ACM International Conference on AI in Finance
The AI in Finance conference recently accepted three papers from faculty and students at the Center for Big Data. ICAIF is a scholarly peer-reviewed conference that aims to bring together researchers from both academia and industry to share challenges, advances, and insights on the impact of Artificial Intelligence and Machine Learning on finance. ICAIF is supported by the Association for Computing Machinery (ACM).
"Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion" Ajim Uddin (New Jersey Institute of Technology); Xinyuan Tao (New Jersey Institute of Technology); ChiaChing Chou (Central Michigan University); Dantong Yu (New Jersey Institute of Technology)
"Core Matrix Regression and Prediction with Regularization" Dan Zhou (New Jersey Institute of Technology)*; Ajim Uddin (New Jersey Institute of Technology); Zuofeng Shang (New Jersey Institute of Technology); Cheickna Sylla (New Jersey Institute of Technology); Dantong Yu (New Jersey Institute of Technology)
"Temporal Bipartite Graph Neural Networks for Bond Prediction" Dan Zhou (New Jersey Institute of Technology); Ajim Uddin (New Jersey Institute of Technology); Xinyuan Tao (New Jersey Institute of Technology); Zuofeng Shang (New Jersey Institute of Technology); Dantong Yu (New Jersey Institute of Technology)*
Northeast Big Data Innovation Hub
"Using machine learning to optimize big data workflows for collaborative computational steering"
The Northeast Big Data Innovation Hub recently showcased Dr. Chase Wu and the Center's work on computational steering to read this article please click here.
Workshop Co-Chair for AICCSA 2020
Participated as Co-Chair for the first international conference on computer systems and applications AICCSA 2020 held online through Nov. 2nd - Nov 5th, 2020.
Program Chair for AICCSA 2021
The 18th ACS/IEEE International Conference on Computer Systems and Applications, Tangier, Morocco, November 8-11, 2021 (AICCSA21): https://www.aiccsa.net/AICCSA2021/.
WINSYS21 Keynote Speaker
Keynote speech: Fusing Intelligence into Big Data Transfer in High-performance Networks, the 18th International Conference on Wireless Networks and Mobile Systems, July 7-9, 2021 (WINSYS21).