Projects per year
Organization profile
Organization profile
The Institute for Space Weather Science (ISWS) promotes multi-disciplinary research and education on space, with a focus on the powerful bursts of electromagnetic radiation, energetic charged particles, and magnetized plasma known as space weather. To understand and predict the physics of solar activities and their effects on space weather, the institute combines the strengths of three NJIT research centers – the Center for Solar-Terrestrial Research, the Center for Computational Heliophysics and the Center for Big Data. At the Institute’s core is the Center for Solar-Terrestrial Research (CSTR). With its array of unique instruments on land and in space – the 1.6 meter Goode Solar Telescope, a newly expanded radio array with 15 antennas, instruments aboard NASA’s Van Allen Probes spacecraft, and devices deployed across Antarctica, to name a few – the center is uniquely poised to advance understanding of the genesis, acceleration and impact of solar storms, as well as to provide a comprehensive view of solar activity over months and years. Joining the CSTR are modeling and big data analytics experts at the Center for Computational Heliophysics, who partner with NASA’s Advanced Supercomputing Division at the NASA Ames Research Center, and researchers at the Center for Big Data. The latter’s mission is to synergize expertise in various disciplines across the NJIT campus and to build a unified platform that embodies a rich set of big data-enabling technologies and services with optimized performance. Within two years of its establishment, the institute obtained an $850,000 National Science Foundation (NSF) EarthCube award, aimed at the transformation of geosciences research and education and sponsored through a partnership between the NSF Directorate of Geosciences and the Office of Advanced Cyberinfrastructure in the Directorate for Computer and Information Science and Engineering. It also established a Research Experiences for Undergraduates site through another NSF award.
Fingerprint
Collaborations and top research areas from the last five years
Profiles
-
Haimin Wang
- Institute of Space Weather Sciences - Director
- Ctr for Solar-Terrestrial Research - Distinguished Professor
- Physics - Distinguished Professor
Person
Projects
- 5 Active
-
Collaborative Research: CyberTraining: Pilot: Cyberinfrastructure-Enabled Machine Learning for Understanding and Forecasting Space Weather
Wang, J. (PI), Wang, H. (CoPI), Oria, V. (CoPI) & Koutis, I. (CoPI)
9/1/23 → 8/31/25
Project: Research project
-
High Resolution Observations and Studies of Solar Eruptions Using the 1.6-meter Telescope in Big Bear
Wang, H. (CoPI), Cao, W. (CoPI), Yurchyshyn, V. (CoPI), Cao, W. (PI) & Inoue, S. (CoPI)
6/1/23 → 5/31/28
Project: Research project
-
SHINE: Exploring the Initiations of Solar Flares using Deep Learning Methods
Xu, Y. (PI), Wang, J. (CoPI) & Wang, H. (CoPI)
9/1/22 → 8/31/25
Project: Research project
Research output
-
A Closer Look at Small-scale Magnetic Flux Ropes in the Solar Wind at 1 au: Results from Improved Automated Detection
Farooki, H., Noh, S. J., Lee, J., Wang, H., Kim, H., Abduallah, Y., Wang, J. T. L., Chen, Y., Servidio, S. & Pecora, F., Apr 1 2024, In: Astrophysical Journal, Supplement Series. 271, 2, 42.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
A Machine Learning Approach to Understanding the Physical Properties of Magnetic Flux Ropes in the Solar Wind at 1 au
Farooki, H., Abduallah, Y., Noh, S. J., Kim, H., Bizos, G., Shin, Y., Wang, J. T. L. & Wang, H., Jan 1 2024, In: Astrophysical Journal. 961, 1, 81.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Axial Flux Evolution of Small-scale Magnetic Flux Ropes from 0.06 to 10 au
Farooki, H., Lee, J., Pecora, F., Wang, H. & Kim, H., Apr 1 2024, In: Astrophysical Journal Letters. 965, 2, L18.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
-
Investigators at New Jersey Institute of Technology Discuss Findings in Networks (Super-resolution of Soho/mdi Magnetograms of Solar Active Regions Using Sdo/hmi Data and an Attention-aided Convolutional Neural Network)
4/19/24
1 item of Media coverage
Press/Media: Press / Media
-
Study Data from New Jersey Institute of Technology Update Understanding of Electronics (Episodic Energy Release during the Main and Post-impulsive Phases of a Solar Flare)
4/17/24
1 item of Media coverage
Press/Media: Press / Media