Vincent Oria
Professor, Computer Science
4302 Guttenberg Information Technologies Center (GITC)
Education
Ph.D.
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;
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2025 Fall Courses
CS 790A - DOCT DISSERTATION & RES
IS 701B - MASTER'S THESIS
IS 725 - INDEPENDENT STUDY I
IS 790A - DOCT DISSERTATION & RES
CS 631 - DATA MGT SYSTEMS DESIGN
IT 488 - INDEPENDENT STUDY
CS 725 - INDEPENDENT STUDY I
CS 726 - INDEPENDENT STUDY II
IS 491 - SENIOR PROJECT - IS
IS 792 - PRE-DOCTORAL RESEARCH
CS 489 - COMPUTER SCIENCE RESEARCH PROJ
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
IS 701B - MASTER'S THESIS
IS 725 - INDEPENDENT STUDY I
IS 790A - DOCT DISSERTATION & RES
CS 631 - DATA MGT SYSTEMS DESIGN
IT 488 - INDEPENDENT STUDY
CS 725 - INDEPENDENT STUDY I
CS 726 - INDEPENDENT STUDY II
IS 491 - SENIOR PROJECT - IS
IS 792 - PRE-DOCTORAL RESEARCH
CS 489 - COMPUTER SCIENCE RESEARCH PROJ
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
Patrick M. O'Keefe, Viacheslav Sadykov, Alexander G. Kosovichev, Irina N. Kitiashvili, Vincent Oria, Gelu M. Nita, Fraila Francis, Chun-Jie Chong, Paul Kosovich, Aatiya Ali, Russell D. Marroquin.
2024. "The Random Hivemind: An ensemble deep learning application to the solar energetic particle prediction problem."
Advances in Space Research , vol. 74 , no. 12 , pp. 6252-6263.
Paul A. Kosovich, Alexander G. Kosovichev, Viacheslav M. Sadykov, Spiridon Kasapis, Irina N. Kitiashvili, Patrick M. O'Keefe, Aatiya Ali, Vincent Oria, Samuel Granovsky, Chun Jie Chong, Gelu M. Nita. 2024. "Time Series of Magnetic Field Parameters of Merged MDI and HMI Space-weather Active Region Patches as Potential Tool for Solar Flare Forecasting." Astrophys.J. , vol. 972 , no. 2 , pp. 169.
Aatiya Ali, Viacheslav Sadykov, Alexander G. Kosovichev, Irina N. Kitiashvili, Vincent Oria, Gelu M. Nita, Egor Illarionov, Patrick M. O'Keefe, Fraila Francis, Chun-Jie Chong, Paul Kosovich, Russell D. Marroquin. 2024. "Predicting Solar Proton Events of Solar Cycles 22-24 Using GOES Proton and Soft-X-Ray Flux Features." Astrophys. J. Suppl. , vol. 270 , no. 1 , pp. 15.
Russell D. Marroquin, Viacheslav Sadykov, Alexander G. Kosovichev, Irina N. Kitiashvili, Vincent Oria, Gelu M. Nita, Egor Illarionov, Patrick M. O'Keefe, Fraila Francis, Chun Jie Chong, Paul Kosovich, Aatiya Ali. 2023. "Statistical Study of the Correlation between Solar Energetic Particles and Properties of Active Regions." Astrophys.J. , vol. 952 , no. 2 , pp. 97.
Aatiya Ali, Viacheslav Sadykov, Alexander G. Kosovichev, Irina N. Kitiashvili, Vincent Oria, Gelu M. Nita, Egor Illarionov, Patrick M. O'Keefe, Fraila Francis, Chun-Jie Chong, Paul Kosovich, Russell D. Marroquin. 2023. "Predicting Solar Proton Events of Solar Cycles 22-24 using GOES Proton \& Soft X-Ray Flux Statistics." arXiv e-prints , pp. arXiv:2303.05446.
Paul A. Kosovich, Alexander G. Kosovichev, Viacheslav M. Sadykov, Spiridon Kasapis, Irina N. Kitiashvili, Patrick M. O'Keefe, Aatiya Ali, Vincent Oria, Samuel Granovsky, Chun Jie Chong, Gelu M. Nita. 2024. "Time Series of Magnetic Field Parameters of Merged MDI and HMI Space-weather Active Region Patches as Potential Tool for Solar Flare Forecasting." Astrophys.J. , vol. 972 , no. 2 , pp. 169.
Aatiya Ali, Viacheslav Sadykov, Alexander G. Kosovichev, Irina N. Kitiashvili, Vincent Oria, Gelu M. Nita, Egor Illarionov, Patrick M. O'Keefe, Fraila Francis, Chun-Jie Chong, Paul Kosovich, Russell D. Marroquin. 2024. "Predicting Solar Proton Events of Solar Cycles 22-24 Using GOES Proton and Soft-X-Ray Flux Features." Astrophys. J. Suppl. , vol. 270 , no. 1 , pp. 15.
Russell D. Marroquin, Viacheslav Sadykov, Alexander G. Kosovichev, Irina N. Kitiashvili, Vincent Oria, Gelu M. Nita, Egor Illarionov, Patrick M. O'Keefe, Fraila Francis, Chun Jie Chong, Paul Kosovich, Aatiya Ali. 2023. "Statistical Study of the Correlation between Solar Energetic Particles and Properties of Active Regions." Astrophys.J. , vol. 952 , no. 2 , pp. 97.
Aatiya Ali, Viacheslav Sadykov, Alexander G. Kosovichev, Irina N. Kitiashvili, Vincent Oria, Gelu M. Nita, Egor Illarionov, Patrick M. O'Keefe, Fraila Francis, Chun-Jie Chong, Paul Kosovich, Russell D. Marroquin. 2023. "Predicting Solar Proton Events of Solar Cycles 22-24 using GOES Proton \& Soft X-Ray Flux Statistics." arXiv e-prints , pp. arXiv:2303.05446.
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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.
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.
Wiley, January (1st Quarter/Winter), 2022.
Chapter
Vincent Oria, Ying Li, Chitra Dorai, Michael E Houle.
"Multimedia Databases: Description, Analysis, Modeling and Retrieval."
pp. 14: 1-28. Computing Handbook, 2014.