Haimin Wang
Distinguished Professor, Ctr for Solar-Terrestrial Research
460 Tiernan Hall
Education
Ph.D.; California Institute of Technology; Astrophysics; 1988
B.S.; Nanjing University; Astronomy; 1982
B.S.; Nanjing University; Astronomy; 1982
Past Courses
PHYS 111: PHYSICS I
PHYS 121: PHYSICS II
PHYS 681: SOLAR PHYS & INSTRUMENTN
PHYS 792: PRE-DOCTORAL RESEARCH
PHYS 121: PHYSICS II
PHYS 681: SOLAR PHYS & INSTRUMENTN
PHYS 792: PRE-DOCTORAL RESEARCH
Journal Article
Nita, Gelu, & Georgoulis, Manolis, & Kitiashvili, Irina, & Sadykov, Viacheslav, & Camporeale, Enrico, & Kosovichev, Alexand, & Wang, Haimin, & Oria, Vincent, & Wang, Jason, & Angryk, Rafal, & Aydin, Berkay, & Ahmadzadeh, Azim, & Bai, Xiaoli, & Bastian, Timothy, & Filali Boubrahimi, Soukaina, & Chen, Bin, & Davey, Alisdair, & Fereira, Sheldon, & Fleishman, Gregory, & Gary, Dale, & Gerrard, Andrew, & 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.
Wang, F., & Xu, T., & Tang, T., & Zhou, Mengchu, & Wang, Haimin (2017). Bilevel Feature Extraction-Based Text Mining for Fault Diagnosis of Railway Systems. IEEE Transactions on Intelligent Transportation Systems, 18(1), 49-58.
Masson, S., & Pariat, É., & Valori, G., & Deng, N., & Liu, C., & Wang, Haimin, & Reid, H. (2017). Flux rope, hyperbolic flux tube, and late extreme ultraviolet phases in a non-eruptive circular-ribbon flare. Astronomy & Astrophysics, 604, A76.
Kumar, P., & Yurchyshyn, V., & Cho, K.-S., & Wang, Haimin (2017). Multiwavelength observations of a flux rope formation by series of magnetic reconnection in the chromosphere. Astronomy & Astrophysics, 603, A36.
Liu, C., & Deng, N., & Wang, J.T.L., & Wang, Haimin (2017). Predicting Solar Flares Using SDO/HMI Vector Magnetic Data Products and the Random Forest Algorithm. The Astrophysical Journal, 843, 104.
Wang, F., & Xu, T., & Tang, T., & Zhou, Mengchu, & Wang, Haimin (2017). Bilevel Feature Extraction-Based Text Mining for Fault Diagnosis of Railway Systems. IEEE Transactions on Intelligent Transportation Systems, 18(1), 49-58.
Masson, S., & Pariat, É., & Valori, G., & Deng, N., & Liu, C., & Wang, Haimin, & Reid, H. (2017). Flux rope, hyperbolic flux tube, and late extreme ultraviolet phases in a non-eruptive circular-ribbon flare. Astronomy & Astrophysics, 604, A76.
Kumar, P., & Yurchyshyn, V., & Cho, K.-S., & Wang, Haimin (2017). Multiwavelength observations of a flux rope formation by series of magnetic reconnection in the chromosphere. Astronomy & Astrophysics, 603, A36.
Liu, C., & Deng, N., & Wang, J.T.L., & Wang, Haimin (2017). Predicting Solar Flares Using SDO/HMI Vector Magnetic Data Products and the Random Forest Algorithm. The Astrophysical Journal, 843, 104.
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Conference Proceeding
Hard X-ray and Microwave Simulation of 2015-06-22 M6.6 flare
May 2016
High performance 14nm SOI FinFET CMOS technology with 0.0174μm2 embedded DRAM and 15 levels of Cu metallization
February 2015
Study of ribbon separation and magnetic reconnection rates
IAUS, July (3rd Quarter/Summer) 2013
Effect of gas ambient on the synthesis of Al and N co-doped ZnO:(Al,N) films and their influence on PEC response for photoelectrochemical water splitting application
TMS Annual Meeting, 2011
Influence of substrate temperature on the photoelectrochemical responses of Ga and N co-doped ZnO films
TMS Annual Meeting, 2011
May 2016
High performance 14nm SOI FinFET CMOS technology with 0.0174μm2 embedded DRAM and 15 levels of Cu metallization
February 2015
Study of ribbon separation and magnetic reconnection rates
IAUS, July (3rd Quarter/Summer) 2013
Effect of gas ambient on the synthesis of Al and N co-doped ZnO:(Al,N) films and their influence on PEC response for photoelectrochemical water splitting application
TMS Annual Meeting, 2011
Influence of substrate temperature on the photoelectrochemical responses of Ga and N co-doped ZnO films
TMS Annual Meeting, 2011
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Book
Shet, S., & Yan, Yong, & Deutsch, T., & Wang, Haimin, & Ravindra, N., & Turner, J., & Al-Jassim, M. (2011). Synthesis and Characterization of Ternary Cobalt Spinel Oxides for Photoelectrochemical Water Splitting to Produce Hydrogen. Advances and Applications in Electroceramics
Shet, S., & Wang, Haimin, & Deutsch, T., & Ravindra, N., & Yan, Yong, & Turner, J., & Al-Jassim, M. (2011). Synthesis of Zno Nanostructures and Their Influence on Photoelectrochemical Response for Solar Driven Water Splitting to Produce Hydrogen. Advances in Nanomaterials and Nanostructures
Shet, S., & Wang, Haimin, & Deutsch, T., & Ravindra, N., & Yan, Yong, & Turner, J., & Al-Jassim, M. (2011). Synthesis of Zno Nanostructures and Their Influence on Photoelectrochemical Response for Solar Driven Water Splitting to Produce Hydrogen. Advances in Nanomaterials and Nanostructures
Chapter
Shih, Frank, & Jing, Ju, & Qu, Ming, & Wang, Haimin (2008). Application of machine learning in solar physics, P. Wang (Ed.), Nova Science Publishers. (pp. 259-286). Hauppauge, NY: Nova Science Publishers