Projects per year
Organization profile
Organization profile
The primary goal of the Center for Computational Heliophysics is to develop data analysis and modeling tools in the area of heliophysics – the study and prediction of the Sun’s magnetic activity – by combining expertise from computer scientists in the Ying Wu College of Computing with that of physicists and mathematicians in the College of Science and Liberal Arts. We work in partnership with NASA’s Advanced Supercomputing Division at the NASA Ames Research Center. The center’s work is focused on novel, innovative approaches, including the development of intelligent databases, automatic feature identification and classification, realistic numeric simulations based on first-physics principles and observational data modeling. The center develops synergies among these approaches to make substantial advances in heliophysics and computer science. Our new methods and tools can be used in broader scientific and engineering applications for developing new approaches to intelligent big data databases, as well as for image-recognition and characterization methodologies in collaboration with the Computer Science Department. The computational models have been used for modeling the magnetic activity of other stars in support of NASA’s Kepler mission and the search for extraterrestrial life.
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Collaborations and top research areas from the last five years
Profiles
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Alexander Kosovichev
- Center for Computational Heliophysics - Director
- Physics - Distinguished Professor
Person
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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
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CyberCorps Scholarship for Service (Renewal): Secure Computing Initiative
Oria, V. (PI), Mili, A. (CoPI), Borcea, C. (CoPI) & Curtmola, R. (CoPI)
8/1/21 → 7/31/26
Project: Research project
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Collaborative Research: Energy Release and Transport in Impulsive Phase of Solar Flares
Kosovichev, A. (PI)
7/1/19 → 6/30/25
Project: Research project
Research output
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Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration
Houle, M. E., Oria, V. & Sabaei, H., 2025, Similarity Search and Applications - 17th International Conference, SISAP 2024, Proceedings. Chávez, E., Kimia, B., Lokoč, J., Patella, M. & Sedmidubsky, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 193-206 14 p. (Lecture Notes in Computer Science; vol. 15268 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Community Data Set for Comparing Automated Coronal Hole Detection Schemes
Reiss, M. A., Muglach, K., Mason, E., Davies, E. E., Chakraborty, S., Delouille, V., Downs, C., Garton, T. M., Grajeda, J. A., Hamada, A., Heinemann, S. G., Hofmeister, S., Illarionov, E., Jarolim, R., Krista, L., Lowder, C., Verwichte, E., Arge, C. N., Boucheron, L. E. & Foullon, C. & 6 others, , Mar 1 2024, In: Astrophysical Journal, Supplement Series. 271, 1, 6.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Can Proton Beam Heating Flare Models Explain Sunquakes?
Sadykov, V. M., Stefan, J. T., Kosovichev, A. G., Stejko, A. M., Kowalski, A. F., Allred, J. C. & Kerr, G. S., Jan 1 2024, In: Astrophysical Journal. 960, 1, 80.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations
Press/Media
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Governor Murphy Signs Bipartisan Legislation Establishing Civil and Criminal Penalties for Deceptive AI Deepfakes
4/2/25
2 items of Media coverage
Press/Media: Press / Media
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Murphy Signs Bipartisan Legislation Establishing Civil and Criminal Penalties for Deceptive AI Deepfakes
4/2/25
1 item of Media coverage
Press/Media: Press / Media
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Reports Summarize Networks Findings from New Jersey Institute of Technology (The Random Hivemind: an Ensemble Deep Learning Application To the Solar Energetic Particle Prediction Problem)
Kosovichev, A., Nita, G. & Oria, V.
3/6/25
1 item of Media coverage
Press/Media: Press / Media