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Curriculum Vitae

Dieu Tien Bui, PhD, Professor (full)

University of South-Easten Norway (USN)

1. Personal data

Born: Address: E-mail address: Tel (work): Tel (mobile)

December 03, 1978 GIS group, Department of Business and IT, University of South-Eastern Norway (USN), Gulbringvegen 36, N-3800, Bø i Telemark, Norway Dieu.T.Bui@usn.no/ BuiTienDieu@gmail.com

+47 35952724 +47 96677678

Current position Professor in GIS, Department of Business and IT, University of South-Eastern Norway (USN). Webpage: link

Editorship Editor: Editor: Geomorphology (Elsevier, SCI, WoS, IF:3.308) ; Journal of Mountain Sciences (Springer, SCIE, WoS, IF=1.135); Vietnam Journal of Earth Sciences, and Journal of Mining and Earth Sciences (Vietnam)

Guess Editor: Remote Sensing (SCIE, WoS, IF:3.244); Sensors (SCIE, WoS, IF:3.031); and ISPRS International Journal of Geo-Information (SCIE, WoS, IF:1.732)

Publication (1) Google Scholar; (2) Researchgate; (3) CRISTIN

2. Education

2013 – 2014 Postdoctoral researcher in Geomatics at Department of Mathematical Sciences and Technology (IMT), Norwegian University of Life Sciences (NMBU), Ås, Norway

2009 - 2013 Philosophiae Doctor (Ph.D) in Geomatics at Department of Mathematical Sciences and Technology (IMT), Norwegian University of Life Sciences (NMBU), Ås, Norway

2001 - 2004 Master of Engineering in Cartography, Hanoi University of Mining and Geology, Hanoi, Vietnam

1996 - 2000 Bachelor in Cartography, Hanoi University of Mining and Geology, Hanoi, Vietnam

3. Employment history

08.2019 - now Professor (full) in GIS/Geomatics, Department of Business and IT, School of Business, University of South-Eastern Norway (USN).

04.2014 - 08.2019 Associate Professor in Geographic Information System, Department of Business and IT, School of Business, University of South-Eastern Norway (USN).

01.2009 - 04.2014 Researcher, Department of Mathematical Sciences and Technology (IMT), Norwegian University of Life sciences (NMBU), Ås, Norway

02.2008 - 01.2009 University lecturer at Department of Cartography, Hanoi University of Mining and Geology, Hanoi, Vietnam

02.2007 - 01.2008 GIS analyst, Ugland IT group AS, Lysaker, Oslo, Norway (Specialization: Spatial data processing and management, Role: GIS analyst). Processing data for the internet maps and WebGIS

01.2001 - 02.2007 University lecturer at Department of Cartography, Hanoi University of Mining and Geology, Hanoi, Vietnam

4. Main publications

ISI Journal papers

2019 (7/2019)

120. Arabameri, Alireza, Mojtaba Yamani, Biswajeet Pradhan, Assefa Melesse, Kourosh Shirani, and Dieu Tien Bui. "Novel

ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility." Science of The Total Environment (2019). https://www.sciencedirect.com/science/article/pii/S0048969719327767

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119. Mollaefar, Eisa, John Tiefenbacher, Sabrina Cipullo, Baharin Bin Ahmad, and Dieu Tien Bui. "Predicting uncertainty of

machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods." Science of the Total Environment 688 (2019): 855-866

https://www.sciencedirect.com/science/article/pii/S0048969719328931

118. Binh Thai Pham, Manh Duc Nguyen, Dong Van Dao, , Indra Prakash, Hai-BangLy, Tien-ThinhLe, Lanh Si Ho, Kien Trung Nguyen, Trinh Quoc Ngo, Vu Hoang, Le Hoang Son, Huong Thanh Thi Ngo, Hieu Trung Tran, Ngoc Minh Do, Hiep Van Le, Huu Loc Ho, DieuTien Bui (2019). "Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis." Science of The Total Environment 679 (2019): 172-184.

https://www.sciencedirect.com/science/article/pii/S004896971932073X

117.Dou, Jie, Ali P. Yunus, Dieu Tien Bui, Abdelaziz Merghadi, Mehebub Sahana, Zhongfan Zhu, Chi-Wen Chen, Khabat

Khosravi, Yong Yang, and Binh Thai Pham. "Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan." Science of the Total Environment 662 (2019): 332-346. https://www.sciencedirect.com/science/article/pii/S0048969719303055

106. Rahmati, Omid, Fatemeh Falah, Seyed Amir Naghibi, Trent Biggs, Milad Soltani, Ravinesh C. Deo, Artemi Cerdà, Farnoush Mohammadi, and Dieu Tien Bui. "Land subsidence modelling using tree-based machine learning algorithms." Science of The Total Environment 672 (2019): 239-252. https://www.sciencedirect.com/science/article/pii/S0048969719315128

115. Bui, Dieu Tien, Paraskevas Tsangaratos, Phuong-Thao Thi Ngo, Tien Dat Pham, and Binh Thai Pham. "Flash flood

susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods." Science of The Total Environment 668 (2019): 1038-1054

https://www.sciencedirect.com/science/article/pii/S0048969719309349

114. Rahmati, O., Moghaddam, D.D., Moosavi, V., Kalantari, Z., Samadi, M., Lee, S. and Tien Bui, D., 2019. An Automated

Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping. Remote Sensing, 11(11), p.1375. https://www.mdpi.com/2072-4292/11/11/1375

113. Pham, Binh Thai, Abolfazl Jaafari, Indra Prakash, Sushant K. Singh, Nguyen Kim Quoc, and Dieu Tien Bui. "Hybrid computational intelligence models for groundwater potential mapping." Catena 182 (2019): 104101.

https://www.sciencedirect.com/science/article/pii/S0341816219302437

112. Bui, Dieu Tien, Nhat-Duc Hoang, Tien-Dat Pham, Phuong-Thao Thi Ngo, Pham Viet Hoa, Nguyen Quang Minh, Xuan-

Truong Tran, and Pijush Samui. "A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area." Journal of Hydrology 575 (2019): 314-326. https://www.sciencedirect.com/science/article/pii/S0022169419304913

111. Tien Bui, D., Shirzadi, A., Shahabi, H., Chapi, K., Omidavr, E., Pham, B.T., Talebpour Asl, D., Khaledian, H., Pradhan, B.,

Panahi, M. and Bin Ahmad, B., 2019. A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran). Sensors, 19(11), p.2444. https://www.mdpi.com/1424-8220/19/11/2444

110. Armaghani, Danial Jahed, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Dieu Tien Bui, Peyman Mehrabi, and Majid

Khorami. "Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm." Engineering with Computers (2019): 1-13. https://link.springer.com/article/10.1007/s00366-019-00769-2

109. Nhu, Viet-Ha, Pijush Samui, Deepak Kumar, Anshuman Singh, Nhat-Duc Hoang, and Dieu Tien Bui. "Advanced soft

computing techniques for predicting soil compression coefficient in engineering project: a comparative study." Engineering with Computers (2019): 1-12. https://link.springer.com/article/10.1007/s00366-019-00772-7

108. Zhang, Xiliang, Hoang Nguyen, Xuan-Nam Bui, Quang-Hieu Tran, Dinh-An Nguyen, Dieu Tien Bui, and Hossein Moayedi.

"Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost." Natural Resources Research (2019): 1-11. https://link.springer.com/article/10.1007/s11053-019-09492-7

107. Jaafari, Abolfazl, Seyed Vahid Razavi Termeh, and Dieu Tien Bui. "Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability." Journal of environmental management 243 (2019): 358-

369. https://www.sciencedirect.com/science/article/pii/S0301479719305845

106. Tien Bui, Dieu, Himan Shahabi, Ebrahim Omidvar, Ataollah Shirzadi, Marten Geertsema, John J. Clague, Khabat Khosravi et al. "Shallow landslide prediction using a novel hybrid functional machine learning algorithm." Remote Sensing 11, no. 8 (2019): 931. https://www.mdpi.com/2072-4292/11/8/931

105. Dieu Tien Bui, Himan Shahabi, Ayub Mohammadi, B Ahmad, M H. Jamal, Anuar Ahmad, Noor Mohamed, M -Ahmadi,

Ataollah Shirzadi, Hosein Rahmani, Binh Thai Pham (2019). Landcover change mapping using a combination of Sentinel-1 data and Multispectral satellite imagery: A case study of Sanandal county, Kurdistan, Iran. Applied Ecology and Environmental Research, 17(3):5449-5463. DOI: 10.15666/aeer/1703_54495463

104. Pham, Tien Dat, Junshi Xia, Nam Thang Ha, Dieu Tien Bui, Nga Nhu Le, and Wataru Tekeuchi. "A Review of Remote

Sensing Approaches for Monitoring Blue Carbon Ecosystems: Mangroves, Seagrassesand Salt Marshes during 2010–2018." Sensors 19, no. 8 (2019): 1933. https://www.mdpi.com/1424-8220/19/8/1933/htm

103. Bui, Dieu Tien, Phuong-Thao Thi Ngo, Tien Dat Pham, Abolfazl Jaafari, Nguyen Quang Minh, Pham Viet Hoa, and Pijush

Samui. "A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping." Catena 179 (2019): 184-196. https://www.sciencedirect.com/science/article/pii/S034181621930147X

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102. Shirzadi, Ataollah, Karim Solaimani, Mahmood Habibnejad Roshan, Ataollah Kavian, Kamran Chapi, Himan Shahabi, Saskia Keesstra, Baharin Bin Ahmad, and Dieu Tien Bui. "Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution." Catena 178 (2019): 172-188. https://www.sciencedirect.com/science/article/pii/S0341816219301043

101. Dou, Jie, Ali P. Yunus, Dieu Tien Bui, Mehebub Sahana, Chi-Wen Chen, Zhongfan Zhu, Weidong Wang, and Binh Thai

Pham. "Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM." Remote Sensing 11, no. 6 (2019): 638. https://www.mdpi.com/2072-4292/11/6/638

100.Chen, Wusi, Manoj Khandelwal, Bhatawdekar Ramesh Murlidhar, Dieu Tien Bui, M. M. Tahir, and Javad Katebi. "Assessing

cohesion of the rocks proposing a new intelligent technique namely group method of data handling." Engineering with Computers (2019): 1-11. https://link.springer.com/article/10.1007/s00366-019-00731-2

88. Moayedi, Hossein, Arash Moatamediyan, Hoang Nguyen, Xuan-Nam Bui, Dieu Tien Bui, and Ahmad Safuan A. Rashid. "Prediction of ultimate bearing capacity through various novel evolutionary and neural network models." Engineering with Computers (2019): 1-17. https://link.springer.com/article/10.1007/s00366-019-00723-2

98. Zhou, Jian, Nasim Aghili, Ebrahim Noroozi Ghaleini, Dieu Tien Bui, M. M. Tahir, and Mohammadreza Koopialipoor. "A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network." Engineering with Computers (2019): 1-11. https://link.springer.com/article/10.1007/s00366-019-00726-z

97.Jaafari, Abolfazl, Davood Mafi-Gholami, Binh Thai Pham, and Dieu Tien Bui. "Wildfire Probability Mapping: Bivariate vs.

Multivariate Statistics." Remote Sensing 11, no. 6 (2019): 618. https://www.mdpi.com/2072-4292/11/6/618

96. Nguyen, Hoang, Carsten Drebenstedt, Xuan-Nam Bui, and Dieu Tien Bui. "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 (2019): 1-19. https://link.springer.com/article/10.1007/s11053-019-09470-z

95. Nguyen, V.V., Pham, B.T., Vu, B.T., Prakash, I., Jha, S., Shahabi, H., Shirzadi, A., Ba, D.N., Kumar, R., Chatterjee, J.M. and Tien Bui, D., 2019. Hybrid machine learning approaches for landslide susceptibility modeling. Forests, 10(2), p.157. https://www.mdpi.com/1999-4907/10/2/157

94.Rahmati, Omid, Aiding Kornejady, Mahmood Samadi, Ravinesh C. Deo, Christian Conoscenti, Luigi Lombardo, Kavina Dayal et al. "PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches." Science of the total environment 664 (2019): 296-311. https://www.sciencedirect.com/science/article/pii/S0048969719304966

93. Nhu, Viet-Ha, Nhat-Duc Hoang, Van-Binh Duong, Hong-Dang Vu, and Dieu Tien Bui. "A hybrid computational intelligence approach for predicting soil shear strength for urban housing construction: a case study at Vinhomes Imperia project, Hai Phong city (Vietnam)." Engineering with Computers (2019): 1-14. https://link.springer.com/article/10.1007/s00366-019-00718-z

92. Bui, Dieu Tien, Nhat-Duc Hoang, and Pijush Samui. "Spatial pattern analysis and prediction of forest fire using new machine learning approach of Multivariate Adaptive Regression Splines and Differential Flower Pollination optimization: A case study at Lao Cai province (Viet Nam)." Journal of environmental management 237 (2019): 476-487. https://www.sciencedirect.com/science/article/pii/S0301479719301239

91. Pham, Tien Dat, Naoto Yokoya, Dieu Tien Bui, Kunihiko Yoshino, and Daniel A. Friess. "Remote sensing approaches for monitoring mangrove species, structure, and biomass: Opportunities and challenges." Remote Sensing 11, no. 3 (2019): 230.

https://www.mdpi.com/2072-4292/11/3/230

90. Thai Pham, Binh, Dieu Tien Bui, and Indra Prakash. "Landslide susceptibility modelling using different advanced decision trees methods." Civil Engineering and Environmental Systems 35, no. 1-4 (2018): 139-157. https://iahr.tandfonline.com/doi/abs/10.1080/10286608.2019.1568418#.XSmJNmm-mUk

89. Hoa, Pham Viet, Nguyen Vu Giang, Nguyen An Binh, Le Vu Hong Hai, Tien-Dat Pham, Mahdi Hasanlou, and Dieu Tien Bui.

"Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)." Remote Sensing 11, no. 2 (2019): 128. https://www.mdpi.com/2072-4292/11/2/128

88.Wang, Yi, Haoyuan Hong, Wei Chen, Shaojun Li, Dragan Pamučar, Ljubomir Gigović, Siniša Drobnjak, Dieu Tien Bui, and

Hexiang Duan. "A hybrid GIS multi-criteria decision-making method for flood susceptibility mapping at Shangyou, China." Remote Sensing 11, no. 1 (2019): 62. https://www.mdpi.com/2072-4292/11/1/62

87. Pham, B.T., Prakash, I., Dou, J., Singh, S.K., Trinh, P.T., Tran, H.T., Le, T.M., Van Phong, T., Khoi, D.K., Shirzadi, A. and Dieu Tien Bui (2019). "A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and

different base classifiers." Geocarto International : 1-25. https://www.tandfonline.com/doi/abs/10.1080/10106049.2018.1559885

2018

86. Pham, Binh Thai, Indra Prakash, Sushant K. Singh, Ataollah Shirzadi, Himan Shahabi, and Dieu Tien Bui. "Landslide

susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches." Catena 175 (2019): 203-218. https://www.sciencedirect.com/science/article/pii/S0341816218305538

85. Jaafari, Abolfazl, Mahdi Panahi, Binh Thai Pham, Himan Shahabi, Dieu Tien Bui, Fatemeh Rezaie, and Saro Lee. "Meta

optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization

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algorithms for spatial prediction of landslide susceptibility." Catena 175 (2019): 430-445. https://www.sciencedirect.com/science/article/pii/S0341816218305770

84. Ataollah Shirzadi, Karim Soliamani, Mahmood Habibnejhad, Ataollah Kavian, Kamran Chapi, Himan Shahabi , Wei Chen, Khabat Khosravi , Binh Thai Pham, Biswajeet Pradhan, Anuar Ahmad, Baharin Bin Ahmad, and Dieu Tien Bui, 2018. Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping. Sensors (Impact Factor: 2.475). https://www.mdpi.com/1424-8220/18/11/3777

83. Binh Thai Pham, Manh Duc Nguyen, Kien-Trinh Thi Bui, Indra Prakash, Kamran Chapi, Dieu Tien Bui, 2018, A novel artificial

intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil. Catena (Impact Factor: 3.256). https://www.sciencedirect.com/science/article/pii/S0341816218304314

82. Dieu Tien Bui, Mahdi Panahi, Himan Shahabi, Vijay P. Singh, Ataollah Shirzadi, Kamran Chapi, Khabat Khosravi, Wei Chen,

Somayeh Panahi, Shaojun Li, Baharin Bin Ahmad, 2018, Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods. Scientific Reports (Impact Factor: 4.122). https://www.nature.com/articles/s41598-018-33755-7

81. Phuong-Thao Thi Ngo, Nhat-Duc Hoang, Biswajeet Pradhan, Quang Khanh Nguyen, Xuan Truong Tran, Quang Minh Nguyen, Viet Nghia Nguyen, Pijush Samui, Dieu Tien Bui, 2018. Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Flood at Tropical Area Using Sentinel-1 SAR Imagery and Geospatial data. Sensor (Impact Factor: 2.475). https://www.mdpi.com/1424-8220/18/11/3704

80. Huong T.X. Doan, Giles M Foody, Dieu Tien Bui, 2018. Reducing the impacts of intra-class spectral variability on the accuracy

of soft classification and super-resolution mapping of shoreline. International Journal of Remote Sensing (Impact Factor: 1.782).

79. Dieu Tien Bui, Viet Ha Nhu, Nhat-Duc Hoang, 2018. Prediction of Soil Compression Coefficient for Urban Housing Project

Using Novel Integration Machine Learning Approach of Swarm Intelligence and Multi-Layer Perceptron Neural Networks. Advanced Engineering Informatics (Impact Factor: 3.358).

https://www.sciencedirect.com/science/article/pii/S1474034618302246

78. Dieu Tien Bui, Himan Shahabi, Ataollah Shirzadi, Nhat-Duc Hoang, Binh Thai Pham, Quang-Thanh Bui, Chuyen-Trung Tran,

Mahdi Panahi, Baharin Bin Ahmad, Lee Saro. 2018. A Novel Integrated Approach of Relevance Vector Machine optimized by Imperialist Competitive Algorithm for Spatial Modeling of Rainfall-Induced Shallow Landslides. Remote Sensing (Impact Factor: 3.406). https://www.mdpi.com/2072-4292/10/10/1538

77. Haoyuan Hong, Himan Shahabi, Ataollah Shirzadi, Wei Chen, Kamran Chapi, Baharin Bin Ahmad, Dieu Tien Bui, Majid

Shadman Roodposhti, Yingying Tian. 2018. Landslide susceptibility assessment at the Wuning area, China: A comparative between Multi-criteria decision making, bivariate statistical and machine learning methods. Natural Hazards (Impact Factor: 1.901).

76. Tien Bui, D.,Shahabi, H., Shirzadi, A., Chapi, K., Chen, W., Ahmad, B.B., Mohammadi, A., Panahi, M., Hong, H., Alizadeh,

M., Tian,Y. 2018. Landslide detection and susceptibility mapping by AIRSAR data using support vector machine and Index of entropy models in Cameron Highlands, Malaysia. Remote Sensing (Impact Factor: 3.406). https://www.mdpi.com/2072-

4292/10/10/1527

75. Tien Bui, D., Hoang, N-D., Nhu, V-H., 2018. A Swarm Intelligence-Based Machine Learning Approach for Predicting Soil Shear Strength for Road Construction: A case study at Trung Luong National Expressway Project (Vietnam). Engineering with Computers (Impact Factor: 1.951). https://link.springer.com/article/10.1007%2Fs00366-018-0643-1

74. Tien Bui, D., Bui, Q-T., Le, HV., Tran, HH., Hoang, N-D., 2018. A Hybrid Intelligence System Based on Relevance Vector Machines and Imperialist Competitive Optimization for Modelling Forest Fire Danger Using GIS. Journal of Environmental Informatics (Impact Factor: 4.521).

73. Tehrany, MS., Jones,S., Shabani, F., Martínez-Álvarez, F., Tien Bui, D., A Novel Ensemble Modelling Approach for the

Spatial Prediction of Tropical Forest Fire Susceptibility Using Logitboost Machine Learning Classifier and Multi-source Geospatial Data. Theoretical and Applied Climatology (Impact Factor: 2.321). Doi: 10.1007/s00704-018-2628-9

72. Tien Bui, D., Le, VH, Hoang, ND, 2018. GIS-Based Spatial Prediction of Tropical Forest Fire Danger Using a New Hybrid

Machine Learning Method. Ecological Informatics, 48, 104-116 (Impact Factor: 1.820). doi: 10.1016/j.ecoinf.2018.08.008

71. Tien Bui, D., Khosravi, K., Li, S., Shahabi, H., Panahi, M., Singh, VP., Chapi, K., Panahi, S., Shirzadi, A., Chen, W., Ahmad,

BB., 2018. New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling. Water (Impact Factor: 2.069). http://www.mdpi.com/2073-4441/10/9/1210

70. Khosravi, K., Panahi, M., Tien Bui, D., 2018. Spatial Prediction of Groundwater Spring Potential Mapping Based on Adaptive Neuro-Fuzzy Inference System and Metaheuristic Optimization. Hydrology and Earth System Sciences (Impact Factor:

4.256). https://www.hydrol-earth-syst-sci.net/22/4771/2018/

69. Rahmati, O., Naghibi, SM., Shahabi, H., Tien Bui, D., Pradhan, B., Azareh, A., Rafiei-Sardooi,E., Samani, AN., Melesse, AM.,

2018. Groundwater spring potential modelling: comprising the capability and robustness of three different modeling

approaches. Journal of Hydrology (Impact Factor: 3.717). https://doi.org/10.1016/j.jhydrol.2018.08.027

68. Tien Bui, D., Shahabi, H., Shirzadi, A., Chapi, K., Pradhan., B ., Chen, W., Khosravi, K., Panahi, M., Ahmad, B., Lee S.,2018. Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms. Sensor 18(8), 2464 (Impact

Factor: 2.475). http://www.mdpi.com/1424-8220/18/8/2464

67.Merghadi, A, Boumezbeu, A., Tien Bui. D., 2018. Landslide Susceptibility Assessment at Mila basin (Algeria): A Comparative Assessment of Prediction Capability of Advanced Machine Learning Methods. 7(7), 268. ISPRS International Journal of Geo-Information. (Impact Factor: 1.723). http://www.mdpi.com/2220-9964/7/7/268

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66. Abedini, M., Ghasemian,B., Shirzadi, A., Shahabi,H., Chapi, H., Pham, BT., Ahmad, BB., Tien Bui. D., 2018. A Novel Hybrid Approach of Bayesian Logistic Regression and Its Ensembles for Landslide Susceptibility Assessment. Geocarto international. (Impact Factor: 1.759). https://doi.org/10.1080/10106049.2018.1499820

65. Pham, TD., Kaida, N., Yoshino, K., Nguyen, XH., Tien Bui, D., 2018. Willingness to Pay for Mangrove Restoration in the

Context of Climate Change in the Cat Ba Biosphere Reserve, Vietnam. Ocean & Coastal Management. (Impact Factor: 2.276). https://www.sciencedirect.com/science/article/pii/S0964569118302163

64. Pham, TB., Prakash, I., Jaafari, A., Tien Bui. D., 2018. Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier. Journal of the Indian Society of Remote Sensing. (Impact Factor: 0.810).

https://link.springer.com/article/10.1007/s12524-018-0791-1

63. Truong, X-L., Mitamura,M., Kono, Y., Raghavan, V., Yonezawa, G., Truong, X-Q., Do, HT., Tien Bui, D., Lee. S., 2018.

Enhancing Prediction Performance of Landslide Susceptibility Model Using Hybrid Machine Learning Approach of Bagging Ensemble and Logistic Model Tree. Applied Sciences. (Impact Factor: 1.689). http://www.mdpi.com/2076-3417/8/7/1046

62. Khosravi, K.; Sartaj, M.; Tsai, F.T.C.; Singh, V.P.; Kazakis, N.; Melesse, A.M.; Prakash, I.; Tien Bui, D.; Pham, B.T. 2018. A

comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment. Science of The Total Environment, 642, 1032-1049. (Impact Factor: 4.610).

https://www.sciencedirect.com/science/article/pii/S004896971832206X

61. Nguyen, N-T; Dang, NBT., Pham, X-C., Nguyen, H-T., Bui, HT., Hoang, N-D., Tien Bui. D., 2018. Spatial Pattern Assessment

of Tropical Forest Fire Danger at Thuan Chau area (Vietnam) using GIS-Based Advanced Machine Learning Algorithms: A comparative study. Ecological Informatics. (Impact Factor: 1.820).

https://www.sciencedirect.com/science/article/pii/S1574954118300852

60. Pham,TB., Prakash, I., Khosravi, K., Chapi, K., Trinh, PT., Tien Bui, D,. 2018. A Comparison of Support Vector Machines and

Bayesian Algorithms for Landslide Susceptibility Modeling. Geocarto International. (Impact Factor: 1.759) https://www.tandfonline.com/doi/abs/10.1080/10106049.2018.1489422

59. Pham, T.D, Le, N.N, Yoshino, K., Tien Bui. D., 2018. Estimating Aboveground Biomass of Mangrove Plantation in the Northern

coast of Vietnam using machine learning techniques with an integration of ALOS-2 PALSAR-2 and Sentinel-2A data. International Journal of Remote Sensing. (Impact Factor: 1.782). https://www.tandfonline.com/doi/full/10.1080/01431161.2018.1471544

58. Dang, V.H., Tien Bui. D., Tran, X.L., Hoang, N.D., 2018. Enhancing Accuracy of Rainfall-Induced Landslide Prediction along Mountain Road with GIS-Based Random Forest Classifier. Bulletin of Engineering Geology and the Environment. (Impact

Factor: 1.825). https://link.springer.com/article/10.1007/s10064-018-1273-y

57. Hoang, N-D., Tien Bui. D., 2018. Spatial Prediction of Rainfall-Induced Shallow Landslides Using Gene Expression Programming Integrated with GIS: A Case Study in Vietnam. Natural Hazards, (Impact Factor: 1.901) https://link.springer.com/epdf/10.1007/s11069-018-3286-z

56. Pham, B.T., Hoang, T.A., Nguyen, D.M. and Tien Bui. D., 2018. Prediction of shear strength of soft soil using machine learning methods. Catena, 166, 181-191. (Impact Factor: 3.256). https://www.sciencedirect.com/science/article/pii/S034181621830119X

55. Hoang, N-D., Nguyen, Q-L., Tien Bui. D., 2018. Image Processing Based Classification of Asphalt Pavement Cracks Using

Support Vector Machine Optimized by Artificial Bee Colony. Journal of Computing in Civil Engineering (Accepted, In press) (Impact Factor: 1.798). https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CP.1943-5487.0000781

54. Chen, W., Yan, X., Zhao, Z., Hong, H., Tien Bui. D., and Pradhan, B., 2018. Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China). Bulletin of Engineering Geology and the Environment. (Impact Factor: 1.825). https://link.springer.com/article/10.1007/s10064-018-1256-z

53. Pham, B.T., Abolfazl,J., Prakash, I., Tien Bui. D., 2018. A Novel Hybrid Intelligent Model of Support Vector Machines and MultiBoost Ensemble for Landslide Susceptibility Modeling. Bulletin of Engineering Geology and the Environment. (Impact

Factor: 1.825). https://link.springer.com/article/10.1007/s10064-018-1281-y

52. Khosravi, K., Pham, B.T., Chapi, K., Shirzadi, A., Shahabi, H., Revhaug, I., Prakash, I. and Tien Bui, D., 2018. A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran. Science of The Total Environment, 627, pp.744-755. (Impact Factor: 4.610). Doi:10.1016/j.scitotenv.2018.01.266

51. Vafaei, S., Soosani, J., Adeli, K., Fadaei, H., Naghavi, H., Pham, T.D. and Tien Bui, D., 2018. Improving Accuracy Estimation

of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran). Remote Sensing, 10(2), p.172. (Impact Factor: 3.406). http://www.mdpi.com/2072-4292/10/2/172

50. Pham, T.D., Tien Bui, D., Yoshino, K., Le, N.N (2018). Optimized Rule-Based Logistic Model Tree Algorithm for Mapping

Mangrove Species Using ALOS PALSAR Imagery and GIS in the Tropical Region. Environmental Earth Sciences. (Impact Factor: 1.435). https://link.springer.com/article/10.1007/s12665-018-7373-y

49. Pham, T.B., Prakash, I., Tien Bui, D., (2018). Bagging based Support Vector Machines for spatial prediction of landslides. Environmental Earth Sciences. (Impact Factor: 1.435). https://link.springer.com/article/10.1007%2Fs12665-018-7268-y

48. Chen, W., Xie, X., Peng, J., Shahabi, H., Hong, H., Tien Bui, D., Duan, Z., Li, S. and Zhu, A.X. (2018). GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method. CATENA. (Impact Factor: 3.256). https://www.sciencedirect.com/science/article/pii/S0341816218300122

6

47. Hong, H., Liu, J., Tien Bui, D., Pradhan, B., Acharya, T.D., Pham, B.T., Zhu, A.X., Chen, W. and Ahmad, B.B., 2018. Landslide

susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China). CATENA, 163, pp.399-413. (Impact Factor: 3.256). Doi: 10.1016/j.catena.2018.01.005

46. Pham, T.B., Prakash, I., Tien Bui, D., (2018). Spatial prediction of landslides using a hybrid machine learning approach based

on Random Subspace and Classification and Regression Trees. Geomorphology. (Impact Factor: 3.308). Doi:10.1016/j.geomorph.2017.12.008

2017

45. Quoc Anh, G., Tran, D-T., Nguyen, D-C., Nhu,VH., Tien Bui, D., (2017). Design and Implementation of Site-Specific Rainfall-

Induced Landslide Early Warning and Monitoring System: A Case study at Nam Dan landslide (Vietnam). Geomatics, Natural Hazards and Risk. (Impact Factor: 1.713). Doi:/10.1080/19475705.2017.1401561

44. Tien Bui, D., Hoang, N-D., (2017). A Bayesian framework based on a Gaussian mixture model and radial-basis-function Fisher discriminant analysis (BayGmmKda V1.1) for spatial prediction of floods. Geoscientific Model Development (Impact

Factor: 4.252). Doi: 10.5194/gmd-10-3391-2017. https://www.geosci-model-dev.net/10/3391/2017/gmd-10-3391-2017.html

43. Chapi, K., Singh, VP., Shirzadi, A., Shahabi, H., Tien Bui, D., Pham, BT., Khosravi K.,(2017) A novel hybrid artificial

intelligence approach for flood susceptibility assessment. Environmental Modelling & Software, 95:229-45. (Impact

Factor: 4.177). http://www.sciencedirect.com/science/article/pii/S1364815217301573

42. Shirzadi, A., Shahabi, H., Chapi, K., Tien Bui, D., Pham, B.T., Shahedi, K. and Ahmad, B.B., (2017). A comparative study

between popular statistical and machine learning methods for simulating volume of landslides. CATENA, 157, 213-226. (Impact Factor: 3.256). http://www.sciencedirect.com/science/article/pii/S0341816217301728

41. Pham, T.B., Shirzadi, A., Tien Bui, D.,Prakash, I., Dholakia, M.B (2017). A Hybrid Machine Learning Ensemble Approach

Based on a Radial Basis Function Neural Network and Rotation Forest for Landslide Susceptibility Modeling: A Case Study in the Himalayan Area, India. International Journal of Sediment Research (Impact Factor: 1.659). Doi:10.1016/j.ijsrc.2017.09.008. http://www.sciencedirect.com/science/article/pii/S1001627916301329

40. Hong, H., Liu,J., Zhu, A.X., Shahabi, H., Pham, T.B., Chen, W., Pradhan, B., Tien Bui, D. (2017). A novel hybrid integration

model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China). Environmental Earth Sciences. (Impact Factor: 1.435). Doi: 10.1007/s12665-017-6981-2.

https://link.springer.com/article/10.1007%2Fs12665-017-6981-2

39. Nguyen, QK., Tien Bui, D., Hoang, N., Trinh, P., Nguyen, V., Yilmaz, I (2017). A Novel Hybrid Approach Based on Instance

Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides Using GIS. Sustainability. (Impact Factor: 2.075). http://www.mdpi.com/2071-1050/9/5/813

38. Were, K., Tien Bui, D., Dick, Ø.B., Singh, B. R., (2017). A Novel Evolutionary Genetic Optimization-Based Adaptive Neuro-

Fuzzy Inference System and GIS Predict and Map Soil Organic Carbon Stocks across an Afromontane Landscape.

Pedosphere, 27(5), 877-889. (Impact Factor: 2.430). https://www.sciencedirect.com/science/article/pii/S1002016017604612

37. BT Pham, D Tien Bui, I Prakash, LH Nguyen MB Dholakia (2017). A Comparative Study of Sequential Minimal Optimization Based Support Vector Machines, Vote Feature Intervals and Logistic Regression in Landslide Susceptibility Assessment Using GIS. Environmental Earth Sciences (Impact Factor: 1.435). https://link.springer.com/article/10.1007/s12665-017-6689-3

36. Shirzadi, A., Tien Bui, D., Pham, T-B., Solaimani, K., Chapi, K., Kavian, A., Shahabi, H., Revhaug, I., (2017). Shallow

landslide susceptibility assessment using a novel hybrid intelligence approach. Environmental Earth Sciences (Impact Factor: 1.435). http://link.springer.com/article/10.1007/s12665-016-6374-y

35. Chen,W., Xie, X., Wang, J., Pradhan, B., Hong, H., Tien Bui, D., Duan, Z., Ma, J.(2017).A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility. Catena 151,

147-160 (Impact Factor: 3.256). http://www.sciencedirect.com/science/article/pii/S0341816216305136

34. Pham, T.D., Yoshino, K., Tien Bui, D., (2017). Biomass Estimation of Sonneratia caseolaris (l.) Engler at A Coastal Area of

Hai Phong city (Vietnam) using ALOS-2 PALSAR Imagery and GIS-Based Multi-Layer Perceptron Neural Networks. GIScience & Remote Sensing. Doi: 10.1080/15481603.2016.1269869. (Impact Factor: 2.852)

http://www.tandfonline.com/doi/abs/10.1080/15481603.2016.1269869

2016

33. Tien Bui, D., Bui, Q-T., Nguyen, Q-P., Pradhan, B., Trinh, PT., (2016). A Hybrid Artificial Intelligence Approach Using GIS-

Based Neural-Fuzzy Inference System and Particle Swarm Optimization for Forest Fire Susceptibility Modeling at A Tropical Area. Agricultural and Forest Meteorology. Doi:10.1016/j.agrformet.2016.11.002 (Impact Factor: 4.039)

http://www.sciencedirect.com/science/article/pii/S0168192316304269

32. Pham, BT., Tien Bui, D., Dholakia, M.B., Prakash, I., Pham, V-H., Mehmood, K., Le, Q-H.,(2016). A Novel Ensemble Classifier

of Rotation Forest and Naïve Bayer for Landslide Susceptibility Assessment at the Luc Yen District, Yen Bai Province (Viet Nam) Using GIS. Geomatics, Natural Hazards and Risk. (Impact Factor: 1.713) http://link.springer.com/article/10.1007%2Fs00521-016-2666-0

7

31. Bui, K.T.T., Tien Bui, D., Zou, J., Doan, C.V., Revhaug, I., (2016). A Novel Hybrid Artificial Intelligent Approach Based on

Neural Fuzzy Inference Model and Particle Swarm Optimization for Horizontal Displacement Modeling of Hydropower Dam. Neural Computing and Applications. Doi:10.1007/s00521-016-2666-0 (Impact Factor: 4.213)

http://link.springer.com/article/10.1007/s00521-016-2666-0

30. Hong, H., Pradhan, B., Tien Bui., D; Xu, C., Youssef, A.M., Chen, W., (2016). Comparison of Four Kernel Functions Used in Support Vector Machines for Landslide Susceptibility Mapping: A Case Study at Suichuan area (China). Geomatics, Natural Hazards and Risk. Doi: 10.1080/19475705.2016.1250112 (Impact Factor: 1.713)

29. Chen, W., Wang, J., Xie, X., Hong, H., Van Trung, N., Tien Bui, D., Wang, G., & Li, X. (2016). Spatial prediction of landslide

susceptibility using integrated frequency ratio with entropy and support vector machines by different kernel functions. Environmental Earth Sciences, 75 (20), 1344. (Impact Factor: 1.435)

http://link.springer.com/article/10.1007%2Fs12665-016-6162-8

28. Pham, BT., Tien Bui, D., Prakash, I., Dholakia, M.B., (2016). Hybrid Integration of Multilayer Perceptron Neural Networks and Machine Learning Ensembles for Landslide Susceptibility Assessment at Himalayan Area (India) using GIS. CATENA. (Impact

Factor: 3.256). http://www.sciencedirect.com/science/article/pii/S034181621630368X

27. Pham, BT., Tien Bui, D., Pham, V-H., Le, Q-H., Prakash, I., Dholakia, M.B., (2016). Landslide Hazard Assessment Using

Random SubSpace fuzzy rules based Classifier Ensemble and Probability Analysis of Rainfall Data: A Case Study at Mu Cang Chai District, Yen Bai province (Viet Nam). Journal of the Indian Society of Remote Sensing. (Impact Factor: 0.810).

http://link.springer.com/article/10.1007/s12524-016-0620-3

26. Hoang, N.-D., Tien Bui, D., 2016. Predicting Earthquake-Induced Soil Liquefaction Based on a Hybridization of Kernel Fisher Discriminant Analysis and Least Squares Support Vector Machine: A Multi-Dataset Study. Bulletin of Engineering Geology and the Environment. (Impact Factor: 1.825). http://link.springer.com/article/10.1007/s10064-016-0924-0

25. Tien Bui, D., Ho, TC., Pradhan, B., Pham, BT., Nhu, VH., Revhaug, I., (2016). GIS-Based Modeling of Rainfall-Induced

Landslides Using Data Mining Based Functional Trees Classifier with AdaBoost, Bagging, and MultiBoost Ensemble Frameworks. Environmental Earth Sciences. (Impact Factor: 1.435)

http://link.springer.com/article/10.1007/s12665-016-5919-4

24. Pham, BT., Pradhan, B., Tien Bui, D, Prakash, I., Dholakia, M.B., (2016). A Comparative Study of Different Machine Learning Methods for Landslide Susceptibility Assessment: A Case Study of Uttarakhand Area (India). Environmental Modelling and Software. DOI: 10.1016/j.envsoft.2016.07.005 (Impact Factor: 4.177)

http://www.sciencedirect.com/science/article/pii/S1364815216303139

23. Tien Bui, D., Pradhan, B., Nampak, H., Quang Bui, T., Tran, Q.-A., Nguyen, Q.P., (2016). Hybrid Artificial Intelligence

Approach Based on Neural Fuzzy Inference Model and Metaheuristic Optimization for Flood Susceptibility Modelling in A High-Frequency Tropical Cyclone Area using GIS. Journal of Hydrology, 540, 317-330. (Impact Factor: 3.727). http://www.sciencedirect.com/science/article/pii/S002216941630378X

22. Hoang, N.-D., Tien Bui, D., & Liao, K.-W. (2016). Groutability estimation of grouting processes with cement grouts using Differential Flower Pollination Optimized Support Vector Machine. Applied Soft Computing, 45, 173-186. (Impact Factor: 3.907). http://www.sciencedirect.com/science/article/pii/S156849461630179X

21. Tien Bui, D., Le, T.K.T., Nguyen, VC., Le, DH., Revhaug, I., (2016). Tropical Forest Fire Susceptibility Mapping at the Cat Ba National Park Area, Hai Phong City, Vietnam, Using GIS-Based Kernel Logistic Regression. Remote Sensing. (Impact Factor:

3.406). http://www.mdpi.com/2072-4292/8/4/347

20. Tien Bui, D., Tuan, TA., Hoang, ND., Thanh, NQ., Nguyen, BD., Liem, NV., Pradhan,B., (2016). Spatial Prediction of Rainfall-

induced Landslides for the Lao Cai area (Vietnam) Using a Novel hybrid Intelligent Approach of Least Squares Support Vector Machines Inference Model and Artificial Bee Colony Optimization. Landslides. DOI: 10.1007/s10346-016-0711-9) (Impact Factor: 3.811). http://link.springer.com/article/10.1007/s10346-016-0711-9

19. Tien Bui, D., Nguyen, QP., Hoang, ND., Klempe, H., (2016). A Novel Fuzzy K-Nearest Neighbor Inference model with

Differential Evolution for Spatial Prediction of Rainfall-Induced Shallow Landslides in a Tropical Hilly Area using GIS. Landslides. DOI: 10.1007/s10346-016-0708-4) (Impact Factor: 3.811). http://link.springer.com/article/10.1007/s10346-016-0708-4

18. Tien Bui, D., Pham, BT., Nguyen, Q.P., Hoang, ND. (2016). Spatial Prediction of Rainfall-Induced Shallow Landslides Using

Hybrid Integration Approach of Least Squares Support Vector Machines and Differential Evolution Optimization: A Case Study in Central Vietnam. International Journal of Digital Earth. DOI: 10.1080/17538947.2016.1169561. (Impact Factor: 2.746).

http://www.tandfonline.com/doi/abs/10.1080/17538947.2016.1169561

17. Pham, BT., Tien Bui, D., Dholakia, M.B., Prakash, I., Pham, HV. (2016). Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS. Natural Hazards. 10.1007/s11069-016-2304-2 (Impact Factor: 1.901). http://link.springer.com/article/10.1007/s11069-016-2304-2

16. Hong, H., Chen,W.,Xu, C.,Youssef, A., Pradhan, B., Tien Bui, D.(2016). Rainfall-Induced Landslide Susceptibility Assessment at the Chongren Area (China) using Frequency Ratio, Certainty Factor, and Index of Entropy. Geocarto International (in press). DOI:10.1080/10106049.2015.1130086 (Impact Factor: 1.759). http://www.tandfonline.com/doi/abs/10.1080/10106049.2015.1130086#.Vv48uHpQycw

8

2015

15. Pham, T-B., Tien Bui, D., Pourghasemi, H., Prakash,I., Dholakia, M.B., (2015). Landslide susceptibility assesssment in the

Uttarakhand area (India) using GIS: a comparison study of prediction capability of Naïve bayes, multilayer perceptron neural networks, and functional trees methods. Theoretical and Applied Climatology. Doi: 10.1007/s00704-015-1702-9. (Impact

Factor: 2.231). http://link.springer.com/article/10.1007%2Fs00704-015-1702-9

14. Hong, H., Pradhan, B., Jebur, M., Tien Bui, D., Xu, C. & Akgun, A., (2015). Spatial prediction of landslide hazard at the Luxi area (china) using support vector machines. Environmental Earth Sciences, 75 (1), 1-14. (Impact Factor: 1.765).

http://link.springer.com/article/10.1007%2Fs12665-015-4866-9.

13. Hoang, N-D., Tien Bui, D. (2015). Novel Relevance Vector Machine Classifier with Cuckoo Search Optimization for Spatial Prediction of Landslides. Journal of Computing in Civil Engineering. DOI: 10.1061/(ASCE)CP.1943-5487.0000557 (Impact Factor: 1.798). http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CP.1943-5487.0000557

12. Dou, J., Tien Bui, D., Yunus, A. P., Jia, K., Song, X., Revhaug, I., Xia, H., and Zhu, Z. (2015). Optimization of causative

factors for landslide susceptibility evaluation using remote sensing and GIS data in parts of Niigata, Japan. PloS one, 10(7), e0133262. (Impact Factor: 2.766). http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0133262

11. Hong, H., Pradhan, B., Xu, C., and Tien Bui, D., (2015). Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines: CATENA, v. 133, p. 266-

281.(Impact Factor: 3.256). http://www.sciencedirect.com/science/article/pii/S0341816215300278

10. Tien Bui, D., Tuan, T. A., Klempe, H., Pradhan, B., & Revhaug, I. (2015). Spatial prediction models for shallow landslide

hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree. Landslides, 1-18. Doi 10.1007/s10346-015-0557-6.

http://link.springer.com/article/10.1007/s10346-015-0557-6 (Impact Factor: 3.811)

9. Were, K., Tien Bui, D., Dick, Ø. B., & Singh, B. R. (2015). A comparative assessment of support vector regression, artificial

neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape. Ecological Indicators, 52, 394-403. (Impact Factor: 3.983)

http://www.sciencedirect.com/science/article/pii/S1470160X14006049

2014

8. Tien Bui, D., Tran, C-T., Pradhan, B., Revhaug.I, Seidu, R., (2014). iGeoTrans – An iOS application in geosciences. Geocarto International. (Impact Factor: 1.646). DOI:10.1080/10106049.2014.902114.

http://www.tandfonline.com/toc/tgei20/current#.U0Z1nFdm3Dc

7. Tien Bui, D., Pradhan, B., Revhaug. I, Nguyen, D.B., Pham, V.H., Bui, Q.N., (2014). A novel hybrid evidential belief function

based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam). Geomatics, Natural Hazards and Risk. DOI: 10.1080/19475705.2013.843206. (Impact Factor: 1.713).

http://www.tandfonline.com/doi/abs/10.1080/19475705.2013.843206#preview

2013

6. Tien Bui, D., Pradhan, B., Lofman, O., Revhaug, I., Dick, O.B., (2013). Regional prediction of landslide hazard in the Hoa Binh province (Vietnam) using probability analysis of intense rainfall. Natural Hazards. DOI :10.1007/s11069-011-9844-2. (Impact

Factor: 1.901). http://link.springer.com/article/10.1007%2Fs11069-011-9844-2

2012

5. Tien Bui, D., Pradhan, B., Lofman, O., Revhaug, I., Dick, O.B., (2012). Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS. Computers & Geosciences, 45,199-21. (Impact Factor:

2.567). http://www.sciencedirect.com/science/article/pii/S0098300411003888

4. Tien Bui, D., Pradhan, B., Lofman, O., Revhaug, I., Dick, O.B., (2012). Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg-Marquardt and Bayesian regularized neural networks. Geomorphology,

171–172,12–29. (Impact Factor: 3.308) http://www.sciencedirect.com/science/article/pii/S0169555X12002061

3. Tien Bui, D., Pradhan, B., Lofman, O., Revhaug, I., (2012). Landslide susceptibility assessment in Vietnam using Support vector machines, Decision tree and Naïve Bayes models. Mathematical Problems in Engineering. Open Access. DOI:

10.1155/2012/974638. (Impact Factor: 1.145). www.hindawi.com/journals/mpe/aip/974638.pdf.

2. Tien Bui, D., Pradhan, B., Lofman, O., Revhaug, I., Dick, O.B., (2012). Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models. CATENA 96, 25-40. (Impact Factor: 3.256). http://www.sciencedirect.com/science/article/pii/S0341816212000768

2011

9

1. Tien Bui, D., Lofman, O., Revhaug, I., Dick, O., (2011). Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression. Natural Hazards, 59, 1413–1444. (Impact Factor: 1.901). http://link.springer.com/article/10.1007%2Fs11069-011-9844-2

Scopus Elsevier Indexed Journal papers

2. Pham, B.T., Tien Bui, D., Prakash, I., (2017) Landslide Susceptibility Assessment Using Bagging Ensemble Based Alternating Decision Trees, Logistic Regression and J48 Decision Trees Methods: A Comparative Study. Geotechnical and Geological Engineering, pp.1-15. (Index in Scopus Elsevier). https://link.springer.com/article/10.1007/s10706-017-0264-2

1. Pham, BT., Tien Bui, D., Dholakia, M.B., Prakash, I., Pham, HV. (2016). A Comparative Study of Least Square Support Vector

Machines and Multiclass Alternating Decision Trees for Spatial Prediction of Rainfall-Induced Landslides in a Tropical Cyclones Area. Geotechnical and Geological Engineering. Doi 10.1007/s10706-016-9990-0 (Index in Scopus Elsevier). http://link.springer.com/article/10.1007%2Fs10706-016-9990-0

Book

1. Tien Bui, D., Ngoc Do, A., Bui, H.-B., Hoang, N.-D. (Eds.), 2018. Advances and Applications in Geospatial Technology

and Earth Resources. Proceedings of the International Conference on Geo-Spatial Technologies and Earth Resources 2017. Springer International Publishing. http://www.springer.com/us/book/9783319682396#aboutBook

Book chapter

12. Tien Bui, D., Nguyen, QL., Bui, XN., Nguyen, NV., Pham, CV., Le, CV., Ngo, PTT., Bui, TD., Kristoffersen, B., (2017).

Lightweight Unmanned Aerial Vehicle and Structure-from-Motion Photogrammetry for Generating Digital Surface Model for Open-Pit Coal Mine Area and Its Accuracy Assessment. In Advances and Applications in Geospatial Technology and Earth Resources. Springer International Publishing. DOI: 10.1007/978-3-319-68240-2_2.

https://link.springer.com/chapter/10.1007%2F978-3-319-68240-2_2

11. Nguyen, NV., Tien Bui, D., Ngo, PTT., Nguyen, QP., Nguyen, CV., Nguyen, QL., Inge, R., (2017). An Integration of Least Squares Support Vector Machines and Firefly Optimization Algorithm for Flood Susceptible Modeling Using GIS. In Advances and Applications in Geospatial Technology and Earth Resources. Springer International Publishing. DOI: 10.1007/978-3-

319-68240-2_4. https://link.springer.com/chapter/10.1007%2F978-3-319-68240-2_4

10. Nguyen, VT., Nguyen, VN., Le, HTT., La, PH.,Tien Bui, D (2017). Detection and Prediction of Urban Expansion of Hanoi Area (Vietnam) Using SPOT-5 Satellite Imagery and Markov Chain Model. In Advances and Applications in Geospatial Technology and Earth Resources. Springer International Publishing. Doi: 10.1007/978-3-319-68240-2_8

https://link.springer.com/chapter/10.1007%2F978-3-319-68240-2_8

9. Pham, BT., Nguyen, VT., Ngo, VL., Trinh, PT., Ngo, HTT., Tien Bui, D. (2017). A Novel Hybrid Model of Rotation Forest Based Functional Trees for Landslide Susceptibility Mapping: A Case Study at Kon Tum Province, Vietnam. In Advances and Applications in Geospatial Technology and Earth Resources. Springer International Publishing. DOI:10.1007/978-3-

319-68240-2_12. https://link.springer.com/chapter/10.1007%2F978-3-319-68240-2_12

8. Pradhan, B., Kalantar, B., Abdulwahid, W.M., and Tien Bui. D.(2017). Debris Flow Susceptibility Assessment Using Airborne Laser Scanning Data. In Laser Scanning Applications in Landslide Assessment (279-296). Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-319-55342-9_14

7. Hoang N-D., Tien Bui D (2017) Slope Stability Evaluation Using Radial Basis Function Neural Network, Least Squares Support Vector Machines, and Extreme Learning Machine. In Samui, P., Roy, S.S., Balas, V.E.,(eds). “Handbook of Neural Computation”, Elsevier. https://www.elsevier.com/books/handbook-of-neural-computation/samui/978-0-12-811318-9.

6. Tien Bui, D., Bui, K-TT., Bui, Q-T., Doan, CV., Hoang, N-D., (2017) Hybrid Intelligent Model Based on Least Squared Support

Vector Regression and Artificial Bee Colony Optimization for Time Series Modeling and Forecasting Horizontal Displacement of Hydropower Dam. In Samui, P., Roy, S.S., Balas, V.E.,(eds). “Handbook of Neural Computation”, Elsevier. https://www.elsevier.com/books/handbook-of-neural-computation/samui/978-0-12-811318-9

5. Pham, TB., Tien Bui, D., Indra, P., (2018). Application of Classification and Regression Trees for Spatial Prediction of Rainfall Induced Shallow Landslides in the Uttarakhand Area (India) Using GIS. In “Climate change and Disaster risk reduction”.

Springer International Publishing.https://link.springer.com/chapter/10.1007/978-3-319-56469-2_11

4. Hong, H., Xu, C., Revhaug, I., & Tien Bui, D. (2015). Spatial Prediction of Landslide Hazard at the Yihuang Area (China): A

Comparative Study on the Predictive Ability of Backpropagation Multi-layer Perceptron Neural Networks and Radial Basic Function Neural Networks. In Sluter, CR., Cruz,CBM., Menezes,PML. (eds.). Lecture Notes in Geoinformation and Cartography, Volume Cartography-Maps Connecting the World (pp. 175-188). Springer International Publishing. http://link.springer.com/chapter/10.1007/978-3-319-17738-0_13

3. Tien Bui, D., Pradhan, B., Ho, T.C., Revhaug, I., Nguyen, D.B., 2013. Landslide Susceptibility Mapping along the National

Road 32 of Vietnam Using GIS-based J48 Decision Tree Classifier and Its Ensembles. In M. Buchroithner et al. (eds.). Lecture Notes in Geoinformation and Cartography, Volume “Cartography from Pole to Pole”, Springer-Verlag Berlin Heidelberg. ISBN: 978-3-642-32617-2. DOI: 10.1007/978-3-642-32618-9_21 http://link.springer.com/chapter/10.1007%2F978-3-642-32618-9_22#page-1

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2. Tien Bui, D., Pradhan, B., Revhaug.I, Tran, C-T., 2014. A Comparative Assessment Between the Application of Fuzzy

Unordered Rules Induction Algorithms and J48 Decision Tree Models in Spatial Prediction of Shallow Landslide at Lang Son city (Vietnam). In Mukherjee et al. (eds). “Remote Sensing Applications in Environmental Research”, Springer Verlag. ISBN:

978-3-319-05905-1. DOI: 10.1007/978-3-319-05906-8_6 http://www.springer.com/earth+sciences+and+geography/geophysics/book/978-3-319-05905-1

1. Hong, H., Biswajeet, P., Tien Bui, D., and Xu, C. (2015). Landslide susceptibility assessment at the Suichuan area (China) using support vector machine model. In Huang al. (eds). “Emerging Economies, Risk and Development, and Intelligent Technology”, CRC Press.

5. Scientific reviewer for ISI journals (26 journals)

(1) Natural Hazards; (2) Landslides; (3) Geomorphology; (4) Natural Hazards and Earth System Sciences; (5) Geomatics, Natural Hazards and Risk; (6) Arabian Journal of Geosciences; (7) Journal of Mountain Science; (8) Remote Sensing of Environment; (9) Journal of Applied Remote Sensing; (10) GIScience & Remote Sensing; (11) Geocarto International; (12) Environmental Monitoring and Assessment; (13) Stochastic Environmental Research and Risk Assessment; (14) Environmental Earth Sciences; (15) Sustainability; (16) Entropy; (17) Earth Science Informatics; (18) Separation Science and Technology; (19) Water Resources Management; (20) IEEE Transactions on Industrial Informatics; (21) Catena; (22) International Journal of Information Technology & Decision Making; (23) Science of The Total Environment; (24) ISPRS International Journal of Geo-Information; (25) Mathematical Geosciences; (26) Remote Sensing

Telemark, Norway, July 13, 2019

Dieu Tien Bui, PhD

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Geographic Information System Group, Room: 1-324 |Department of Business and IT

University College of Southeast Norway (USN), Campus Bø | Gulbringvegen 36, N-3800 Bø i Telemark, Norway Cell-phone: +47 96677678/ Tlf: +47 35952724. E-mail:Dieu.T.Bui@usn.no; BuiTienDieu@gmail.com; webpage: link