Vincent Oria

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1 Similar Profiles

2 Active
5 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
Mili, A. (CoPI), Oria, V. (PI), Curtmola, R. (CoPI) & Borcea, C. (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. H. (PI), Wang, J. (CoPI), Kosovichev, A. (CoPI), Oria, V. (CoPI) & Nita, G. (CoPI)
National Science Foundation
9/1/19 → 8/31/23
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

34 Conference contribution
27 Article
14 Editorial
8 Paper
More

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
2 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
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
51 Scopus citations
Statistical Study of the Correlation between Solar Energetic Particles and Properties of Active Regions
Marroquin, R. D., 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. & Ali, A., Aug 1 2023, In: Astrophysical Journal. 952, 2, 97.
Research output: Contribution to journal › Article › peer-review

Open Access
3 Scopus citations
M4MM 22: 1st InternationalWorkshop on Methodologies for Multimedia
Alameda-Pineda, X., Jin, Q., Oria, V. & Toni, L., Oct 10 2022, MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia. Association for Computing Machinery, Inc, p. 7394-7396 3 p. (MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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
ANDREW TRUONG MS '24 COMES FULL CIRCLE IN COMPUTING
Oria, V.
6/17/24
1 item of Media coverage
Press/Media: Press / Media
CELEBRATING NJIT'S BLACK/AFRICAN AMERICAN EMPLOYEE RESOURCE GROUP
Oria, V.
2/29/24
1 item of Media coverage
Press/Media: Press / Media
CELEBRATING NJIT'S BLACK/AFRICAN AMERICAN EMPLOYEE RESOURCE GROUP
Oria, V.
2/29/24
1 item of Media coverage
Press/Media: Press / Media
Wonder when your NJ Transit bus will arrive?; This app now works
Oria, V.
12/28/23
1 item of Media coverage
Press/Media: Press / Media

Vincent Oria

Fingerprint

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)

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

Review of Solar Energetic Particle Prediction Models

Statistical Study of the Correlation between Solar Energetic Particles and Properties of Active Regions

M4MM 22: 1st InternationalWorkshop on Methodologies for Multimedia

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

ANDREW TRUONG MS '24 COMES FULL CIRCLE IN COMPUTING

CELEBRATING NJIT'S BLACK/AFRICAN AMERICAN EMPLOYEE RESOURCE GROUP

CELEBRATING NJIT'S BLACK/AFRICAN AMERICAN EMPLOYEE RESOURCE GROUP

Wonder when your NJ Transit bus will arrive?; This app now works

Vincent Oria

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output

Press/Media