BUI, XUAN NAM

Professor, Dr.-Ing.

Year of birth: 1974

Occupation: Vice Rector, Address: Hanoi University of Mining and Geology, Duc Thang - Bac Tu Liem - Hanoi - Vietnam

Website: www.humg.edu.vn

ORCID ID: 0000-0001-5953-4902

Scopus ID: 36892679300

Education: 

• 1991 - 1996: Dipl. Eng., Hanoi University of Mining and Geology, Vietnam;
• 1997 - 2001: M. Eng., Hanoi University of Mining and Geology, Vietnam;
• 2002 - 2005: Dr.-Ing., TU Bergakademie Freiberg, Germany.

Employment experience: 

• 1996 - 1998: Assistant Lecturer of Surface Mining Department;
• 1998 - 2009: Lecturer of Surface Mining Department;
• 2006 - 2014: Deputy Head of Surface Mining Department;
• 2007 - 2008: Deputy Dean of Mining Faculty;
• 1/2009 - 12/2014: Dean of Mining Faculty;
• 12/2010 - 7/2013: Head of Student Management Department;
• 6/2017 – now: Head of Surface Mining Department;
• 5/2013 - now: Vice Rector of Hanoi University of Mining and Geology.

Fields of interest: 

• Mining Technology and Technique;
• Mining Environmental Protection and Sustainable Development;
• Occupational Health and Safety in Mining Industry;
• Applied Informatics in Mining. 

Professional society:

• Society of Mining Professors (Voted in July 2015);
• Vietnam Mining Science and Technology Association;
• Vietnam Blasting Engineering Association;
• Alumni of DAAD, Germany;
• Member of the Editorial Board of some journals: «Occupational Safety in Industry», «Construction mechanics of engineering constructions and structures», «Mining Science and Technology» (Russia), «Mining and Earth Sciences» (Vietnam).

The main publications:

• Yong W., Zhang W., Nguyen H., Bui X.-N., Choi Y., Nguyen-Thoi T., Zhou J., Tran T. T. Analysis and prediction of diaphragm wall deflection induced by deep braced excavations using finite element method and artificial neural network optimized by metaheuristic algorithms. Reliability Engineering and System Safety, 2022, 221, 108335, https://doi.org/10.1016/j.ress.2022.108335;
• Choi Y., Nguyen H., Bui X.-N., Nguyen-Thoi T. Optimization of haulage-truck system performance for ore production in open-pit mines using big data and machine learning-based methods. Resources Policy, 2022, 75, 102522, https://doi.org/10.1016/j.resourpol.2021.102522;
• Li N., Nguyen H., Rostami J., Zhang W., Bui X.-N., Pradhan B. Predicting rock displacement in underground mines using improved machine learning-based models. Measurement: Journal of the International Measurement Confederation, 2022, 188, 110552, https://doi.org/10.1016/j.measurement.2021.110552;
• Murlidhar B.R., Nguyen H., Rostami J., Bui X., Armaghani D.J., Ragam P., Mohamad E.T. Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network. Journal of Rock Mechanics and Geotechnical Engineering, 2021, 13(6), 1413–1427, https://doi.org/10.1016/j.jrmge.2021.08.005;
• Xie C., Nguyen H., Bui X.-N., Nguyen V.-T., Zhou J. Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms. Journal of Rock Mechanics and Geotechnical Engineering, 2021, 13(6), 1452–1465, https://doi.org/10.1016/j.jrmge.2021.07.005;
• Bui X.-N., Nguyen H., Tran Q.-H., Nguyen D.-A., Bui H.-B. Predicting blast-induced ground vibration in quarries using adaptive fuzzy inference neural network and moth–flame optimization. Natural Resources Research, 2021, 30(6), 4719–4734, https://doi.org/10.1007/s11053-021-09968-5;
• Nguyen H., Bui X.-N., Choi Y., Lee C. W., Armaghani D. J. A Novel Combination of Whale Optimization Algorithm and Support Vector Machine with Different Kernel Functions for Prediction of Blasting-Induced Fly-Rock in Quarry Mines. Natural Resources Research, 2021, 30(1), 191–207, DOI: 10.1007/s11053-020-09710-7;
• Guo H., Nguyen H., Bui X.-N., Armaghani D. J. A new technique to predict fly-rock in bench blasting based on an ensemble of support vector regression and GLMNET. Engineering with Computers, 2021, 37(1), 421–435, https://doi.org/10.1007/s00366-019-00833-x;
• Luo Z., Bui X.-N., Nguyen H., Moayedi H. A novel artificial intelligence technique for analyzing slope stability using PSO-CA model. Engineering with Computers, 2021, 37(1), 533–544, https://doi.org/10.1007/s00366-019-00839-5;
• Bui X.-N., Nguyen H., Choi Y., Nguyen-Thoi T. et. al. Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm. Scientific Reports, 2020, 10(1), 9939, https://doi.org/10.1038/s41598-020-66904-y;
• Zhang X., Nguyen H., Bui X.-N., Anh Le H. et. al. Evaluating and Predicting the Stability of Roadways in Tunnelling and Underground Space Using Artificial Neural Network-Based Particle Swarm Optimization. Tunnelling and Underground Space Technology, 2020, 103, 103517, https://doi.org/10.1016/j.tust.2020.103517;
• Vu D.-H., Bui H.-B., Bui X.-N., An-Nguyen D. et. al. A novel approach in adsorption of heavy metal ions from aqueous solution using synthesized MCM-41 from coal bottom ash. International Journal of Environmental Analytical Chemistry, 2020, 100(11), 1226–1244, https://doi.org/10.1080/03067319.2019.1651300;
• Nguyen H., Bui X.-N. Soft computing models for predicting blast-induced air over-pressure: A novel artificial intelligence approach. Applied Soft Computing Journal, 2020, 92, 106292, https://doi.org/10.1016/j.asoc.2020.106292;
• Bui X.-N., Muazu M.A., Nguyen H. Optimizing Levenberg–Marquardt backpropagation technique in predicting factor of safety of slopes after two-dimensional OptumG2 analysis. Engineering with Computers, 2020, 36(3), 941–952, https://doi.org/10.1007/s00366-019-00741-0;
• Bui X.-N., Moayedi H., Rashid A. S. A. Developing a predictive method based on optimized M5Rules–GA predicting heating load of an energy-efficient building system. Engineering with Computers, 2020, 36(3), 931–940, https://doi.org/10.1007/s00366-019-00739-8;
• Chen W., Sarir P., Bui X.-N., Nguyen H. et. al. Neuro-genetic, neuro-imperialism and genetic programing models in predicting ultimate bearing capacity of pile. Engineering with Computers, 2020, 36(3), 1101–1115, https://doi.org/10.1007/s00366-019-00752-x;
• Zhang H., Nguyen H., Bui X.-N., Nguyen-Thoi T. et. al. Developing a novel artificial intelligence model to estimate the capital cost of mining projects using deep neural network-based ant colony optimization algorithm. Resources Policy, 2020, 66, 101604, https://doi.org/10.1016/j.resourpol.2020.101604;
• Fang Q., Nguyen H., Bui X.-N., Nguyen-Thoi T. Prediction of Blast-Induced Ground Vibration in Open-Pit Mines Using a New Technique Based on Imperialist Competitive Algorithm and M5Rules. Natural Resources Research, 2020, 29 (2), 791–806, https://doi.org/10.1007/s11053-019-09577-3;
• Fang Q., Nguyen H., Bui X.-N., Tran Q.-H. Estimation of Blast-Induced Air Overpressure in Quarry Mines Using Cubist-Based Genetic Algorithm. Natural Resources Research, 2020, 29 (2), 593–607, https://doi.org/10.1007/s11053-019-09575-5;
• Nguyen H., Drebenstedt C., Bui X.-N., Bui D.T. Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network. Natural Resources Research, 2020, 29(2), 691–709, https://doi.org/10.1007/s11053-019-09470-z;
• Nguyen H., Bui X.-N., Bui H.-B., Mai N.-L. A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam. Neural Computing and Applications, 2020, 32(8), 3939–3955, https://doi.org/10.1007/s00521-018-3717-5;
• Zhang S., Bui X.-N., Trung N.-T., Nguyen H., Bui H.-B. Prediction of Rock Size Distribution in Mine Bench Blasting Using a Novel Ant Colony Optimization-Based Boosted Regression Tree Technique. Natural Resources Research, 2020, 29(2), 867–886, https://doi.org/10.1007/s11053-019-09603-4;
• Shang Y., Nguyen H., Bui X.-N., Tran Q.-H., Moayedi H. A Novel Artificial Intelligence Approach to Predict Blast-Induced Ground Vibration in Open-Pit Mines Based on the Firefly Algorithm and Artificial Neural Network. Natural Resources Research, 2020, 29(2), 723–737, https://doi.org/10.1007/s11053-019-09503-7;
• Ding Z., Nguyen H., Bui X.-N., Zhou J., Moayedi H. Computational Intelligence Model for Estimating Intensity of Blast-Induced Ground Vibration in a Mine Based on Imperialist Competitive and Extreme Gradient Boosting Algorithms. Natural Resources Research, 2020, 29(2), 751-769, https://doi.org/10.1007/s11053-019-09548-8;
• Bui X.-N., Nguyen H., Le H.-A., Bui H.-B., Do N.-H. Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques. Natural Resources Research, 2020, 29(2), 571–591, https://doi.org/10.1007/s11053-019-09461-0;
• Moayedi H., Moatamediyan A., Nguyen H., Bui X.-N. et. al. Prediction of ultimate bearing capacity through various novel evolutionary and neural network models. Engineering with Computers, 2020, 36(2), 671-687, https://doi.org/10.1007/s00366-019-00723-2;
• Bui X.-N., Choi Y., Atrushkevich V., Nguyen H. et. al. Prediction of Blast-Induced Ground Vibration Intensity in Open-Pit Mines Using Unmanned Aerial Vehicle and a Novel Intelligence System. Natural Resources Research, 2020, 29(2), 771–790, https://doi.org/10.1007/s11053-019-09573-7;
• Zhang X., Nguyen H., Bui X.-N., Tran Q.-H. et. al. Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost. Natural Resources Research, 2020, 29(2), 711–721, https://doi.org/10.1007/s11053-019-09492-7;
• Nguyen H., Bui X.-N., Tran Q.-H., Van Hoa P. et. al. A comparative study of empirical and ensemble machine learning algorithms in predicting air over-pressure in open-pit coal mine. Acta Geophysica, 2020, 68(2), 325–336, https://doi.org/10.1007/s11600-019-00396-x;
• Nguyen H., Choi Y., Bui X.-N., Nguyen-Thoi T. Predicting blast-induced ground vibration in open-pit mines using vibration sensors and support vector regression-based optimization algorithms. Sensors (Switzerland), 2020, 20(1), 132, https://doi.org/10.3390/s20010132;
• Duan J., Asteris P.G., Nguyen H., Bui X.-N., Moayedi H. A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model. Engineering with Computers, 2020, https://doi.org/10.1007/s00366-020-01003-0;
• Yingli L.V., Le Q.-T., Bui H.-B., Bui X.-N. et. al. A comparative study of different machine learning algorithms in predicting the content of ilmenite in titanium placer. Applied Sciences (Switzerland), 2020, 10(2), 635, https://doi.org/10.3390/app10020635;
• Bui X.-N., Jaroonpattanapong P., Nguyen H., Tran Q.-H., Long N.Q. A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization. Scientific Reports, 2019, 9(1), 13971, https://doi.org/10.1038/s41598-019-50262-5;
• Nguyen H., Bui X.-N., Nguyen-Thoi T., Ragam P., Moayedi H. Toward a state-of-the-art of fly-rock prediction technology in Open-Pit Mines using EANNs model. Applied Sciences (Switzerland), 2019, 9(21), 4554, https://doi.org/10.3390/app9214554;
• Bui H.-B., Nguyen H., Choi Y., Bui X.-N. et. al. A novel artificial intelligence technique to estimate the gross calorific value of coal based on meta-heuristic and support vector regression algorithms. Applied Sciences (Switzerland), 2019, 9(22), 4868, https://doi.org/10.3390/app9224868;
• Nguyen H., Bui X.-N., Moayedi H. A comparison of advanced computational models and experimental techniques in predicting blast-induced ground vibration in open-pit coal mine. Acta Geophysica, 67(4), 2019, 1025–1037, https://doi.org/10.1007/s11600-019-00304-3;
• Nguyen H., Bui X.-N., Tran Q.-H., Moayedi H. Predicting blast-induced peak particle velocity using BGAMs, ANN and SVM: a case study at the Nui Beo open-pit coal mine in Vietnam. Environmental Earth Sciences, 2019, 78(15), 479, https://doi.org/10.1007/s12665-019-8491-x;
• Nguyen H., Bui X.-N. Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest. Natural Resources Research, 2019, 28(3), 893–907, https://doi.org/10.1007/s11053-018-9424-1;
• Bui X.-N., Lee C.W., Nguyen H., Bui H.-B. et. al. Estimating PM10 concentration from drilling operations in open-pit mines using an assembly of SVR and PSO. Applied Sciences (Switzerland), 2019, 9(14), 2806, https://doi.org/10.3390/app9142806;
• Nguyen H., Bui X.-N., Bui H.-B., Cuong D.T. Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study. Acta Geophysica, 2019, 67(2), 477–490, https://doi.org/10.1007/s11600-019-00268-4;
• Nguyen H., Bui X.-N., Tran Q.-H., Mai N.-L. A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms. Applied Soft Computing Journal, 2019, 77, 376–386, https://doi.org/10.1016/j.asoc.2019.01.042;
• Guo H., Nguyen H., Vu D.-A., Bui X.-N. Forecasting mining capital cost for open-pit mining projects based on artificial neural network approach. Resources Policy, 2019, 101474, https://doi.org/10.1016/j.resourpol.2019.101474.