Vincent Oria

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1 Similar Profiles

2 Active
6 Finished

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)
National Science Foundation
9/1/23 → 8/31/25
Project: Research project
CyberCorps Scholarship for Service (Renewal): Secure Computing Initiative
Oria, V. (PI), Mili, A. (CoPI), Borcea, C. (CoPI) & Curtmola, R. (CoPI)
National Science Foundation
8/1/21 → 7/31/26
Project: Research project
EarthCube Data Capabilities: Machine Learning Enhanced Cyberinfrastructure for Understanding and Predicting the Onset of Solar Eruptions
Wang, H. (PI), Wang, J. (CoPI), Kosovichev, A. (CoPI), Oria, V. (CoPI) & Nita, G. (CoPI)
National Science Foundation
9/1/19 → 8/31/24
Project: Research project
Njit Secure Computing Initiative
Oria, V. (PI)
National Science Foundation
1/1/16 → 12/31/20
Project: Research project
Collaborative Project: Integrating Learning Resources For Information Security Research And Education (Isecure)
Oria, V. (PI)
National Science Foundation
9/15/12 → 8/31/15
Project: Research project

35 Conference contribution
28 Article
14 Editorial
8 Paper
More

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
Predicting Solar Proton Events of Solar Cycles 22-24 Using GOES Proton and Soft-X-Ray Flux Features
Ali, A., Sadykov, V., Kosovichev, A., Kitiashvili, I. N., Oria, V., Nita, G. M., Illarionov, E., O’Keefe, P. M., Francis, F., Chong, C. J., Kosovich, P. & Marroquin, R. D., Jan 1 2024, In: Astrophysical Journal, Supplement Series. 270, 1, 15.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Scopus citations
The Random Hivemind: An ensemble deep learning application to the solar energetic particle prediction problem
O'Keefe, P. M., Sadykov, V., Kosovichev, A., Kitiashvili, I. N., Oria, V., Nita, G. M., Francis, F., Chong, C. J., Kosovich, P., Ali, A. & Marroquin, R. D., 2024, (Accepted/In press) In: Advances in Space Research.
Research output: Contribution to journal › Article › peer-review
Time Series of Magnetic Field Parameters of Merged MDI and HMI Space-weather Active Region Patches as Potential Tool for Solar Flare Forecasting
Kosovich, P. A., Kosovichev, A. G., Sadykov, V. M., Kasapis, S., Kitiashvili, I. N., O’Keefe, P. M., Ali, A., Oria, V., Granovsky, S., Chong, C. J. & Nita, G. M., Sep 1 2024, In: Astrophysical Journal. 972, 2, 169.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Scopus citations
Review of Solar Energetic Particle Prediction Models
Whitman, K., Egeland, R., Richardson, I. G., Allison, C., Quinn, P., Barzilla, J., Kitiashvili, I., Sadykov, V., Bain, H. M., Dierckxsens, M., Mays, M. L., Tadesse, T., Lee, K. T., Semones, E., Luhmann, J. G., Núñez, M., White, S. M., Kahler, S. W., Ling, A. G. & Smart, D. F. & 106 others, Shea, M. A., Tenishev, V., Boubrahimi, S. F., Aydin, B., Martens, P., Angryk, R., Marsh, M. S., Dalla, S., Crosby, N., Schwadron, N. A., Kozarev, K., Gorby, M., Young, M. A., Laurenza, M., Cliver, E. W., Alberti, T., Stumpo, M., Benella, S., Papaioannou, A., Anastasiadis, A., Sandberg, I., Georgoulis, M. K., Ji, A., Kempton, D., Pandey, C., Li, G., Hu, J., Zank, G. P., Lavasa, E., Giannopoulos, G., Falconer, D., Kadadi, Y., Fernandes, I., Dayeh, M. A., Muñoz-Jaramillo, A., Chatterjee, S., Moreland, K. D., Sokolov, I. V., Roussev, I. I., Taktakishvili, A., Effenberger, F., Gombosi, T., Huang, Z., Zhao, L., Wijsen, N., Aran, A., Poedts, S., Kouloumvakos, A., Paassilta, M., Vainio, R., Belov, A., Eroshenko, E. A., Abunina, M. A., Abunin, A. A., Balch, C. C., Malandraki, O., Karavolos, M., Heber, B., Labrenz, J., Kühl, P., Kosovichev, A. G., Oria, V., Nita, G. M., Illarionov, E., O'Keefe, P. M., Jiang, Y., Fereira, S. H., Ali, A., Paouris, E., Aminalragia-Giamini, S., Jiggens, P., Jin, M., Lee, C. O., Palmerio, E., Bruno, A., Kasapis, S., Wang, X., Chen, Y., Sanahuja, B., Lario, D., Jacobs, C., Strauss, D. T., Steyn, R., van den Berg, J., Swalwell, B., Waterfall, C., Nedal, M., Miteva, R., Dechev, M., Zucca, P., Engell, A., Maze, B., Farmer, H., Kerber, T., Barnett, B., Loomis, J., Grey, N., Thompson, B. J., Linker, J. A., Caplan, R. M., Downs, C., Török, T., Lionello, R., Titov, V., Zhang, M. & Hosseinzadeh, P., Dec 15 2023, In: Advances in Space Research. 72, 12, p. 5161-5242 82 p.
Research output: Contribution to journal › Review article › peer-review

Open Access
63 Scopus citations

Governor Murphy Signs Bipartisan Legislation Establishing Civil and Criminal Penalties for Deceptive AI Deepfakes
Oria, V.
4/2/25
2 items of Media coverage
Press/Media: Press / Media
Murphy Signs Bipartisan Legislation Establishing Civil and Criminal Penalties for Deceptive AI Deepfakes
Oria, V.
4/2/25
1 item of Media coverage
Press/Media: Press / Media
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
4 YWCC FACULTY CONTRIBUTE TO REPORT TO THE GOVERNOR AS PART OF AI TASK FORCE
Wang, G., Oria, V., Borcea, C. & Bader, D.
11/27/24
1 item of Media coverage
Press/Media: Press / Media
SUNBLOCK FOR SOLAR PANELS: NJIT STARTUP MERGES DATA, MATERIAL SCIENCE
Bandera, C., Ravindra, N. & Oria, V.
6/20/24
1 item of Media coverage
Press/Media: Press / Media

Vincent Oria

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Collaborations and top research areas from the last five years

Dive into details

Collaborative Research: CyberTraining: Pilot: Cyberinfrastructure-Enabled Machine Learning for Understanding and Forecasting Space Weather

CyberCorps Scholarship for Service (Renewal): Secure Computing Initiative

EarthCube Data Capabilities: Machine Learning Enhanced Cyberinfrastructure for Understanding and Predicting the Onset of Solar Eruptions

Njit Secure Computing Initiative

Collaborative Project: Integrating Learning Resources For Information Security Research And Education (Isecure)

Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration

Predicting Solar Proton Events of Solar Cycles 22-24 Using GOES Proton and Soft-X-Ray Flux Features

The Random Hivemind: An ensemble deep learning application to the solar energetic particle prediction problem

Time Series of Magnetic Field Parameters of Merged MDI and HMI Space-weather Active Region Patches as Potential Tool for Solar Flare Forecasting

Review of Solar Energetic Particle Prediction Models

Governor Murphy Signs Bipartisan Legislation Establishing Civil and Criminal Penalties for Deceptive AI Deepfakes

Murphy Signs Bipartisan Legislation Establishing Civil and Criminal Penalties for Deceptive AI Deepfakes

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)

4 YWCC FACULTY CONTRIBUTE TO REPORT TO THE GOVERNOR AS PART OF AI TASK FORCE

SUNBLOCK FOR SOLAR PANELS: NJIT STARTUP MERGES DATA, MATERIAL SCIENCE

Vincent Oria

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output

Press/Media