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木拉提·阿不都艾尼博士
联系方式：		mulati@xju.edu.cn
木拉提·阿不都艾尼，男，维吾尔族，1990年1月出生，中国科学院理论物理研究所理学博士，紫金山天文台博士后。主要研究方向为暗物质粒子，对撞机物理，机器学习，超对称唯象。在Science Bulletin、Journal of High Energy Physics、Physical Review D等国内外重要学术刊物上发表SCI论文10余篇。

承担主要科研项目
[1] 超共振暗物质残留密度的精细计算，国家自然科学基金青年项目（12303002），2024.1-2026.12，30万，主持；
[2] 多信使暗物质相关研究, 自治区天池英才引进项目, 2023.1-2025.12, 80万, 主持。
[3] 暗物质粒子间接探测相关科学的理论研究，国家自然科学基金（12047560）, 2021.1-2021.12, 18万元，主持
[4] 暗物质粒子间接探测相关科学研究, 中国博士后科学基金（2020M681757）, 2021.1-2022.4, 8万元, 主持。
学术论文
[1] T.-P. Tang, M. Abdughani, L. Feng, Y.-L. S. Tsai, J. Wu, and Y.-Z. Fan, NMSSM neutralino dark matter for CDF II W-boson mass and muon g − 2 and the promising prospect of direct detection, Sci. China-Phys. Mech. Astron. 66, 239512 (2023)
[2] Murat Abdughani, Yi-Zhong Fan, Chih-Ting Lu, Tian-Peng Tang, Yue-Lin Sming Tsai. Muonphilic Dark Matter explanation of gamma-ray galactic center excess: a comprehensive analysis. JHEP 07 (2022) 127
[3] Bin Zhu, Murat Abdughani. Thermal relic of self-interacting dark matter with retarded decay of mediator. JHEP 12 (2021) 059
[4] Murat Abdughani, Yi-Zhong Fan , Lei Feng, Yue-Lin Sming Tsai, Lei Wu, Qiang Yuan. A common origin of muon g-2 anomaly, Galaxy Center GeV excess and AMS-02 anti-proton excess in the NMSSM. Science Bulletin 66 (2021), 2170-2174
[5] Murat Abdughani, Daohan Wang, Lei Wu, Jin Min Yang, Jun Zhao. Probing the triple Higgs boson coupling with machine learning at the LHC. Physical Review D 104 (2021) 5, 056003
[6] Murat Abdughani, Ken-Ichi Hikasa, Lei Wu, Jin Min Yang, Jun Zhao. Testing electroweak SUSY for muon g − 2 and dark matter at the LHC and beyond. Journal of High Energy Physics 11 (2019), 095
[7] Murat Abdughani, Lei Wu. On the coverage of neutralino dark matter in coannihilations at the upgraded LHC. European Physical Journal C 80 (2020) 3, 233
[8] Murat Abdughani, Jie Ren, Jin Min Yang, Jun Zhao. Supervised deep learning in high energy phenomenology: a mini review. Communications in Theoretical Physics 71 (2019) 8, 955
[9] Murat Abdughani, Jie Ren, Lei Wu, Jin Min Yang. Probing stop pair production at the LHC with graph neural networks. Journal of High Energy Physics 08 (2019), 055
[10] Murat Abdughani, Jie Ren, Jun Zhao. TeV SUSY dark matter confronted with the current direct and indirect detection data. European Physical Journal C 79 (2019) 2, 146
[11] Murat Abdughani, Lei Wu, Jin Min Yang. Status and prospects of light bino–higgsino dark matter in natural SUSY. European Physical Journal C 78 (2018) 1, 4