[1] 中国地质学会会员 (S101480100M)，2018.03—至今

[2] 中国岩石力学与工程学会会员 (S330790206M)，2017.11—至今

[3] 中国岩石力学与工程学会青年学术委员会委员，2019.11—至今

[4] 第三届全国环境岩土青年委员会委员，2020.11—至今

[5] CSCD中文核心期刊《地质科技通报》青年编委，2021.01—至今

[6]ESCI期刊《International Journal of Applied Nonlinear Science》编委，2021.01—至今

[7]《市政技术》青年编委，2021.08—至今

[8] 在SCI期刊《Advanced in Civil Engineering》客座主编一期专刊“Failure Mechanisms, Prediction, and Risk Assessment of Natural and Engineering Disasters through Machine Learning and Numerical Simulation”，2020.12—至今

[9] 在SCI期刊《Frontiers in Earth Science》客座主编一期专刊“Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-based Methods”，2021.03—至今

[10] 国家自然科学基金通讯评审专家

[11]Engineering Geology, Landslides, CATENA, IEEE Geosicences and Remote Sensing, Natural Hazards, Remote Sensing, Environmental Earth Sciences, Geomatics Natural Hazards & Risk,Natural Hazards and Earth System Sciences和《地球科学》,《岩石力学与工程学报》等SCI或EI期刊审稿专家。

研究方向：利用3S技术、机器学习和数值模拟等方法，从事滑坡失稳机制、滑坡位移监测与预测、公路滑坡易发性预测和区域地灾危险性预警等方面的研究。

研究成果：2019年获得江西省“双千”青年类高端创新人才称号，主持国家自然科学青年基金一项，省青年基金一项，国家博士后面上基金及博士后特别资助各一项；作为科研骨干参与若干项国家自然科学基金和省部级基金。

近五年来，在国内外重要期刊上发表滑坡灾害相关的学术论文80余篇。目前发表的SCI或EI学术论文共有50来篇(发表在Landslides, Engineering Geology, Geosciences frontiers, CATENA等TOP一区期刊上)：其中第一作者发表SCI期刊论文20篇，通讯作者发表SCI期刊论文12篇；以第一或通讯作者录用或发表EI期刊论文14篇(发表在岩石力学与工程学报，地球科学和浙大学报工学版等中文卓越期刊上)。截止2021年8月，所发表的学术论文在Google数据库中总被引用1220次，I-10指数为29，H指数为21；在Web of Knowledge数据库中总被引用850次，且有1篇SCI入选热点论文和3篇SCI论文入选高被引。同时也正在申请30来项地质灾害防治和监测等方面的发明专利。本人所取得的学术成果在滑坡监测与预测、区域滑坡易发性和危险性预测等领域，提供了诸多创新性的理论和技术思路。

[1] Faming Huang, Siyu Tao, Zhilu Chang*, Jinsong Huang, Shui-Hua Jiang, Li Zhu. Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide susceptibility prediction [J]. Landslides, 2021, on line. (SCI 中科院一区, IF: 6.578) 

[2] Zizeng Guo, Yu Shi, Faming Huang*, Xuanmei Fan, et al. Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management [J]. Geosciences Frontiers, 2021, (12):101249 (SCI 中科院一区, IF: 6.5)

[3] Faming Huang, Zhou Ye, Jinsong Huang, Shuihua Jiang*; Zhilu Chang, Jiawu Chen. Uncertainty study of landslide susceptibility prediction considering different attribute interval numbers of environmentalfactors and different data-based models [J]. CATENA, 2021, doi.org/10.1016/j.catena.2021.105250.(SCI中科院一区, IF: 5.198)

[4] Faming Huang, Zhongshan Cao, Shui-hua Jiang*, et al. Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model [J], Landslides, 2020, 17, 2919-2930 DOI 10.1007/s10346-020-01473-9. (SCI 中科院一区, IF: 6.578)

[5] Huang Faming, Zhongshan Cao, Shui-Hua Jiang*, et al. Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping[J], CATENA, 2020, 191: 104580. (SCI一区, IF: 5.198,高被引论文)

[6] Chang, Z.; Du, Z.; Zhang, F.; Huang, F.*; Chen, J.; Li, W.; Guo, Z. Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models. Remote Sensing. 2020, 12, 502. (SCI 中科院二区, IF: 4.848, 高被引论文)

[7] Huang Faming, Jing Zhang, Chuangbing Zhou, Yuhao Wang, Jinsong Huang & Li Zhu*. A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction[J], Landslides, 2020. 17(01):217~229. (SCI 中科院一区, IF: 6.578, 高被引论文)

[8] Weiping Liu, Xiaoyan Luo, Faming Huang*, et al. Prediction of soil-water characteristic curve using Bayesian updating from limited measurement data [J]. Applied Mathematical Modelling, 2019, 76:380~395. (SCI中科院一区, IF: 5.129)

[9] Jiang S H, Huang J, Huang Faming*, et al. Modelling of spatial variability of soil undrained shear strength by conditional random fields for slope reliability analysis [J]. Applied Mathematical Modelling, 2018,63:374~389. (SCI中科院一区, IF: 5.129)

[10] Faming Huang, Kunlong Yin*, Jinsong Huang, Lei Gui, Peng Wang. Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine [J]. Engineering Geology, 2017,223:11~22. (SCI 中科院一区, IF: 6.755)

[11] Faming Huang, Jinsong Huang*, Shuihua Jiang, Chuangbing Zhou. Landslide displacement prediction based on multivariable chaotic model and extreme learning machine [J]. Engineering Geology, 2017:173~186 (SCI一区, IF: 6.755)

[12] 蒋水华,刘贤,黄发明*,黄劲松.考虑多参数空间变异性的降雨入渗边坡失稳机理及可靠度分析[J].岩土工程学报,2020,42(05):900-907. (EI Compendex)

[13] 黄发明,殷坤龙*,蒋水华,黄劲松,曹中山. 基于聚类分析和支持向量机的滑坡易发性评价研究[J].岩石力学与工程学报, 2018, 37(01):156~171. (EI Compendex)

[14] 黄发明, 陈佳武, 唐志鹏, 范宣梅*, 黄劲松, 周创兵, 常志璐. 不同空间分辨率和不同训练测试集比例的滑坡易发性预测不确定性[J]. 岩石力学与工程学报, 2021, DOI：10.13722/j.cnki.jrme.2020.1119 (EI Compendex)

[15] 黄发明，曹中山，姚池*，等，基于决策树和有效降雨强度的区域降雨型滑坡危险性预警建模[J].浙江大学学报工学版, 2021,DOI:10.3785/j.issn.1008-973X.2021.03.000. (EI Compendex)

[16] 李文彬, 范宣梅, 黄发明*, 武雪玲, 殷坤龙, 常志璐. 不同环境因子联接方法和数据驱动模型对滑坡易发性预测建模的影响规律[J]. 地球科学, 2021, doi:10.3799/dqkx.2021.042 (EI Compendex)