Vincent Oria
Vincent Oria
Professor, Computer Science
4302 Guttenberg Information Technologies Center (GITC)
Education
Ph.D.; ; ;
2024 Spring 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
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
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
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.
Nita, Gelu M., & Ahmadzadeh, Azim, & Criscuoli, Serena, & Davey, Alisdair, & Gary, Dale E., & Georgoulis, Manolis, & Hurlburt, Neal, & Kitiashvili, Irina, & Kempton, Dustin, & Kosovichev, Alexander G., & Martens, Piet, & McGranaghan, Ryan, & Oria, Vincent, & Reardon, Kevin, & Sadykov, Viacheslav, & Timmons, Ryan, & Wang, Haimin, & Wang, Jason T.~L., (2022). Revisiting the Solar Research Cyberinfrastructure Needs: A White Paper of Findings and Recommendations. arXiv e-prints, arXiv:2203.09544.
Nita, Gelu M., & Georgoulis, Manolis, & Kitiashvili, Irina, & Sadykov, Viacheslav, & Camporeale, Enrico, & Kosovichev, Alexand er, & Wang, Haimin, & Oria, Vincent, & Wang, Jason T., & Angryk, Rafal, & Aydin, Berkay, & Ahmadzadeh, Azim, & Bai, Xiaoli, & Bastian, Timothy, & Filali Boubrahimi, Soukaina, & Chen, Bin, & Davey, Alisdair, & Fereira, Sheldon, & Fleishman, Gregory David, & Gary, Dale E., & Gerrard, Andrew J., & Hellbourg, Gregory, & Herbert, Katherine, & Ireland, Jack, & Illarionov, Egor, & Kuroda, Natsuha, & Li, Qin, & Liu, Chang, & Liu, Yuexin, & Kim, Hyomin, & Kempton, Dustin, & Ma, Ruizhe, & Martens, Petrus, & McGranaghan, Ryan, & Semones, Edward, & Stefan, John, & Stejko, Andrey, & Collado-Vega, Yaireska, & Wang, Meiqi, & Xu, Yan, & Yu, Sijie (2020). Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. arXiv e-prints, arXiv:2006.12224.
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.
Nita, Gelu M., & Ahmadzadeh, Azim, & Criscuoli, Serena, & Davey, Alisdair, & Gary, Dale E., & Georgoulis, Manolis, & Hurlburt, Neal, & Kitiashvili, Irina, & Kempton, Dustin, & Kosovichev, Alexander G., & Martens, Piet, & McGranaghan, Ryan, & Oria, Vincent, & Reardon, Kevin, & Sadykov, Viacheslav, & Timmons, Ryan, & Wang, Haimin, & Wang, Jason T.~L., (2022). Revisiting the Solar Research Cyberinfrastructure Needs: A White Paper of Findings and Recommendations. arXiv e-prints, arXiv:2203.09544.
Nita, Gelu M., & Georgoulis, Manolis, & Kitiashvili, Irina, & Sadykov, Viacheslav, & Camporeale, Enrico, & Kosovichev, Alexand er, & Wang, Haimin, & Oria, Vincent, & Wang, Jason T., & Angryk, Rafal, & Aydin, Berkay, & Ahmadzadeh, Azim, & Bai, Xiaoli, & Bastian, Timothy, & Filali Boubrahimi, Soukaina, & Chen, Bin, & Davey, Alisdair, & Fereira, Sheldon, & Fleishman, Gregory David, & Gary, Dale E., & Gerrard, Andrew J., & Hellbourg, Gregory, & Herbert, Katherine, & Ireland, Jack, & Illarionov, Egor, & Kuroda, Natsuha, & Li, Qin, & Liu, Chang, & Liu, Yuexin, & Kim, Hyomin, & Kempton, Dustin, & Ma, Ruizhe, & Martens, Petrus, & McGranaghan, Ryan, & Semones, Edward, & Stefan, John, & Stejko, Andrey, & Collado-Vega, Yaireska, & Wang, Meiqi, & Xu, Yan, & Yu, Sijie (2020). Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. arXiv e-prints, arXiv:2006.12224.
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Conference Proceeding
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
Compression of Solar Spectroscopic Observations: a Case Study of Mg II k Spectral Line Profiles Observed by NASA's IRIS Satellite
IEEE, June 2021
Interactive Multi-Instrument Database of Solar Flares (IMIDSF)
August 2017
UCS: Ultimate Course Search
14th International Workshop on Content-Based Multimedia Indexing, June 2016
December 2022
All-Clear Prediction of Solar Proton Events with Machine Learning
October (4th Quarter/Autumn) 2022
Compression of Solar Spectroscopic Observations: a Case Study of Mg II k Spectral Line Profiles Observed by NASA's IRIS Satellite
IEEE, June 2021
Interactive Multi-Instrument Database of Solar Flares (IMIDSF)
August 2017
UCS: Ultimate Course Search
14th International Workshop on Content-Based Multimedia Indexing, June 2016
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Other
Development of Intelligent Databases and Analysis Tools for Heliophysics
Wiley, January (1st Quarter/Winter) 2022
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