Vincent Oria

Vincent Oria
Professor, Computer Science
973-596-5767
4302 Guttenberg Information Technologies Center (GITC)
Education
Ph.D.; ; ;

2024 Fall Courses
CS 631 - DATA MGT SYSTEMS DESIGN

CS 790A - DOCT DISSERTATION & RES

IS 701B - MASTER'S THESIS

IS 725 - INDEPENDENT STUDY I

IS 790A - DOCT DISSERTATION & RES

CS 725 - INDEPENDENT STUDY I

CS 726 - INDEPENDENT STUDY II

IS 792 - PRE-DOCTORAL RESEARCH

IS 488 - INDEPENDENT STUDY IN INFO

IS 776 - IS RESEARCH STUDY

CS 700B - MASTER'S PROJECT

IS 700B - MASTER'S PROJECT

IS 726 - INDEPENDENT STUDY II

CS 488 - INDEPENDENT STUDY IN CS

CS 792 - PRE-DOCTORAL RESEARCH

IS 489 - INFO UNDERGRAD THESIS RESEARCH

CS 701B - MASTER'S THESIS

Past Courses
CS 431: INTRO DATABASE SYSTEMS

CS 631: DATA MANAGEMENT SYSTEM DESIGN

CS 631: DATA MGT SYSTEMS DESIGN

CS 632: ADV DATABASE SYS DESIGN

CS 731: APP OF DATA BASE SYST

MIS 645: INFORMTN SYSTEMS PRINCIPLES

Research Interests
Multimedia Databases, Spatio-temporal Databases, Recommender Systems
Journal Article
Ali, Aatiya, & Sadykov, Viacheslav, & Kosovichev, Alexander G., & Kitiashvili, Irina N., & Oria, Vincent, & Nita, Gelu M., & Illarionov, Egor, & O'Keefe, Patrick M., & Francis, Fraila, & Chong, Chun-Jie, & Kosovich, Paul, & Marroquin, Russell D. (2024). Predicting Solar Proton Events of Solar Cycles 22-24 Using GOES Proton and Soft-X-Ray Flux Features. Astrophys. J. Suppl., 270(1), 15.

Whitman, Kathryn, & Egeland, Ricky, & Richardson, Ian G., & Allison, Clayton, & Quinn, Philip, & Barzilla, Janet, & Kitiashvili, Irina, & Sadykov, Viacheslav, & Bain, Hazel M., & Dierckxsens, Mark, & Mays, M. Leila, & Tadesse, Tilaye, & Lee, Kerry T., & Semones, Edward, & Luhmann, Janet G., & N\'u\~nez, Marlon, , & White, Stephen M., & Kahler, Stephen W., & Ling, Alan G., & Smart, Don F., & Shea, Margaret A., & Tenishev, Valeriy, & Boubrahimi, Soukaina F., & Aydin, Berkay, & Martens, Petrus, & Angryk, Rafal, & Marsh, Michael S., & Dalla, Silvia, & Crosby, Norma, & Schwadron, Nathan A., & Kozarev, Kamen, & Gorby, Matthew, & Young, Matthew A., & Laurenza, Monica, & Cliver, Edward W., & Alberti, Tommaso, & Stumpo, Mirko, & Benella, Simone, & Papaioannou, Athanasios, & Anastasiadis, Anastasios, & Sandberg, Ingmar, & Georgoulis, Manolis K., & Ji, Anli, & Kempton, Dustin, & Pandey, Chetraj, & Li, Gang, & Hu, Junxiang, & Zank, Gary P., & Lavasa, Eleni, & Giannopoulos, Giorgos, & Falconer, David, & Kadadi, Yash, & Fernandes, Ian, & Dayeh, Maher A., & Mu\~noz-Jaramillo, Andr\'es, , & Chatterjee, Subhamoy, & Moreland, Kimberly D., & Sokolov, Igor V., & Roussev, Ilia I., & Taktakishvili, Aleksandre, & Effenberger, Frederic, & Gombosi, Tamas, & Huang, Zhenguang, & Zhao, Lulu, & Wijsen, Nicolas, & Aran, Angels, & Poedts, Stefaan, & Kouloumvakos, Athanasios, & Paassilta, Miikka, & Vainio, Rami, & Belov, Anatoly, & Eroshenko, Eugenia A., & Abunina, Maria A., & Abunin, Artem A., & Balch, Christopher C., & Malandraki, Olga, & Karavolos, Michalis, & Heber, Bernd, & Labrenz, Johannes, & K\"uhl, Patrick, , & Kosovichev, Alexander G., & Oria, Vincent, & Nita, Gelu M., & Illarionov, Egor, & O'Keefe, Patrick M., & Jiang, Yucheng, & Fereira, Sheldon H., & Ali, Aatiya, & Paouris, Evangelos, & Aminalragia-Giamini, Sigiava, & Jiggens, Piers, & Jin, Meng, & Lee, Christina O., & Palmerio, Erika, & Bruno, Alessandro, & Kasapis, Spiridon, & Wang, Xiantong, & Chen, Yang, & Sanahuja, Blai, & Lario, David, & Jacobs, Carla, & Strauss, Du Toit, , & Steyn, Ruhann, & van den Berg, Jabus, & Swalwell, Bill, & Waterfall, Charlotte, & Nedal, Mohamed, & Miteva, Rositsa, & Dechev, Momchil, & Zucca, Pietro, & Engell, Alec, & Maze, Brianna, & Farmer, Harold, & Kerber, Thuha, & Barnett, Ben, & Loomis, Jeremy, & Grey, Nathan, & Thompson, Barbara J., & Linker, Jon A., & Caplan, Ronald M., & Downs, Cooper, & T\"or\"ok, Tibor, , & Lionello, Roberto, & Titov, Viacheslav, & Zhang, Ming, & Hosseinzadeh, Pouya (2023). Review of Solar Energetic Particle Prediction Models. Advances in Space Research, 72(12), 5161-5242.

Marroquin, Russell D., & Sadykov, Viacheslav, & Kosovichev, Alexander G., & Kitiashvili, Irina N., & Oria, Vincent, & Nita, Gelu M., & Illarionov, Egor, & O'Keefe, Patrick M., & Francis, Fraila, & Chong, Chun Jie, & Kosovich, Paul, & Ali, Aatiya (2023). Statistical Study of the Correlation between Solar Energetic Particles and Properties of Active Regions. Astrophys.J., 952(2), 97.

Ali, Aatiya, & Sadykov, Viacheslav, & Kosovichev, Alexander G., & Kitiashvili, Irina N., & Oria, Vincent, & Nita, Gelu M., & Illarionov, Egor, & O'Keefe, Patrick M., & Francis, Fraila, & Chong, Chun-Jie, & Kosovich, Paul, & Marroquin, Russell D. (2023). Predicting Solar Proton Events of Solar Cycles 22-24 using GOES Proton \& Soft X-Ray Flux Statistics. arXiv e-prints, arXiv:2303.05446.

O'Keefe, Patrick M., & Sadykov, Viacheslav, & Kosovichev, Alexander G., & Kitiashvili, Irina N., & Oria, Vincent, & Nita, Gelu M., & Francis, Fraila, & Chong, Chun-Jie, & Kosovich, Paul, & Ali, Aatiya, & Marroquin, Russell D. (2023). The Random Hivemind: An Ensemble Deep Learner. A Case Study of Application to Solar Energetic Particle Prediction Problem. arXiv e-prints, arXiv:2303.08092.

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Conference Proceeding
Open Science Portal for Solar Energetic Particle Prediction (SEP3)
December 2023

Predicting SEP All-Clear Periods With Random Hivemind Classifiers
October (4th Quarter/Autumn) 2023

Using Random Hivemind Classifiers to Predict All-Clear SEP Events
October (4th Quarter/Autumn) 2023

Practices for Using Data-Centric Machine Learning with Imbalanced Classes: A Case of SPE Occurrence Prediction
December 2022

All-Clear Prediction of Solar Proton Events with Machine Learning
October (4th Quarter/Autumn) 2022

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Other
Development of Intelligent Databases and Analysis Tools for Heliophysics
Wiley, January (1st Quarter/Winter) 2022

Chapter
Oria, Vincent, & Li, Ying, & Dorai, Chitra , & Houle, Michael E (2014). Multimedia Databases: Description, Analysis, Modeling and Retrieval, Computing Handbook. (pp. 14: 1-28). CRC Press: Computing Handbook