Gelu Nita

Research Professor, Physics
Ph.D.; New Jersey Institute of Technology; 2004
B.S.; University of Bucharest; 1987
Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman, Ricky Egeland, Manolis Georgoulis, Angelos Vourlidas, Athanasios Papaioannou, Eleni Lavasa, Anastasios Anastasiadis, Giorgos Giannopoulos, Andres Munoz-Jaramillo, Bala Poduval, Irina N. Kitiashvili, Alexander G. Kosovichev, Viacheslav Sadykov, Soukaina Filali Boubrahimi, Tate T. Hutchins, Hameedullah A. Farooki, Manuel E. Cuesta, Leng Y. Khoo, Sungmin Pak, Robert Czarnota, Jamie S. Rankin, Jamey Szalay, Mitchell M. Shen, Georgios Livadiotis, Zigong Xu, David J. McComas, Nikolaos Sarlis, Dionissios Hristopulos, Arik Posner, Alec J. Engell, Mohammed AbuBakr Ali, Abdelkawy, Ali G.~A., Shaltout, Abdelrazek M.~K., Beheary, M.~M., Christina O. Lee, Sigiava Aminalragia-Giamini, Constantinos Papadimitriou, Ingmar Sandberg, Savvas Raptis, Shah Muhammad Hamdi, Monica Laurenza, Mirko Stumpo, Sumanth A. Rotti, India Jackson, Aatiya Ali, Atilim Gunes Baydin, Nathan Schwadron, Subhamoy Chatterjee, Maher A. Dayeh, Gelu M. Nita, Patrick M. O'Keefe, Chun Jie Chong, Paul Kosovich, Russell D. Marroquin, Berkay Aydin, Petrus C. Martens, Lulu Zhao, Yang Chen, Yian Yu, Monica G. Bobra, Ward Manchester, Tamas Gombosi, Ming Zhang, Jesse Torres, Philip K. Chan, Mohamed Nedal, Kamen Kozarev, Peijin Zhang, Kimberly Moreland, Hazel M. Bain, Samuel Hart, Michael J. Starkey, Alan G. Ling, Simone Benella. 2026. "Review of Machine Learning Models for Solar Energetic Particle Prediction." arXiv e-prints, pp. arXiv:2606.19539.
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.
"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.
"Constraining coronal abundances with a combination of high resolution EUV and microwave data"
July (3rd Quarter/Summer), 2023.
"Extreme Solar Radio Bursts"
July (3rd Quarter/Summer), 2023.
"Frequency Agile Solar Radiotelescope"
July (3rd Quarter/Summer), 2023.
"Long-Lasting Solar Coherent Radio Bursts and Implications for Solar-Stellar Connection"
July (3rd Quarter/Summer), 2023.
"Development of Intelligent Databases and Analysis Tools for Heliophysics"
Wiley, January (1st Quarter/Winter), 2022.
"Particle Acceleration and Transport: New Perspectives from Radio, Optical, X-ray, and \ensuremath\gamma-Ray Observations"
July (3rd Quarter/Summer), 2023.