Quá trình công tác
  • 2008 - 2013: Lab CIC, Khoa Xây dựng, Đại học Khoa học và Công nghệ Quốc Gia Đài Loan (Dept. of Civil and Construction Engineering, National Taiwan Univ. of Sci. and Tech.).
  • 2014 đến nay: Viện Nghiên cứu và Phát triển Công nghệ cao và Khoa Xây dựng, Đại học Duy Tân, Đà Nẵng (Institute of Research and Development, Faculty of Civil Engineering, Danang, Vietnam).
Quá trình đào tạo
  • 2010 – 2013: Đại học Khoa học và Công nghệ Quốc Gia Đài Loan, Khoa Xây dựngchương trình Tiến sỹ (Dept. of Civil and Construction Engineering, National Taiwan Univ. of Sci. and Tech., Doctoral Program).
  • 2008 – 2010: Đại học Khoa học và Công nghệ Quốc Gia Đài Loan, Khoa Xây dựng chương trình Thạc sỹ (Dept. of Civil and Construction Engineering, National Taiwan Univ. of Sci. and Tech., Master Program)..
  • 2003 – 2007: Đại học Xây dựng, Hà Nội, Khoa Xây dựng Dân dụng và Công nghiệp,chương trình Đại học (National Univ. of Civil Engineering, Hanoi, Vietnam, Engineer Program).
Công trình nghiên cứu

Google Scholar: http://scholar.google.com.vn/citations?user=e3qAQDkAAAAJ&hl=vi

ResearchGate: https://www.researchgate.net/profile/Nhat_Duc_Hoang

Bài báo ISI (ISI Journal Articles)

  1. Nhat-Duc Hoang, 2019, Punching Shear Capacity of Steel Fibre Reinforced Concrete Slabs Using Sequential Piecewise Multiple Linear Regression and Artificial Neural Network, Measurement (SCIE, IF = 2.22), Accepted. 
  2. 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, Sensors (SCIE, IF 2.48), Accepted.
  3. Hoang N-D*, Nguyen Q-L (2018) Metaheuristic Optimized Edge Detection for Recognition of Concrete Wall Cracks: A Comparative Study on the Performances of Roberts, Prewitt, Canny, and Sobel Algorithms Advances in Civil Engineering 2018:16 doi:10.1155/2018/7163580 (SCIE, Impact factor = 0.83).
  4. Nhat-Duc Hoang (2018), Image Processing Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters, Computational Intelligence and Neuroscience (SCIE IF = 1.65), Accepted, In Press.
  5. 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 Network, Advanced Engineering Informatics (SCI, IF = 3.358).

  6. 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 (SCIE, IF = 3.406), Accepted.

  7. Dieu Tien Bui, Nhat-Duc Hoang, Viet-Ha Nhu, 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 (SCIE, IF 1.95) (Accepted).
  8. Nhat-Duc Hoang* (2018), "Classification of Asphalt Pavement Cracks Using Laplacian Pyramid Based Image Processing and a Hybrid Computational Approach, Computational Intelligence and Neuroscience (SCIE, IF 1.65), Accepted, In Press, Supplementary material: https://github.com/NhatDucHoang/DFP_LSSVM_PaveCrackClassification
  9. Dieu Tien Bui, Quang Thanh Bui, Van Hung Le, Hong Hanh Tran, Nhat-Duc Hoang (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 (SCIE).
  10. Nhat-Duc Hoang*,  Quoc-Lam Nguyen, Van-Duc Tran (2018), Automatic Recognition of Asphalt Pavement Cracks Using Metaheuristic Optimized Edge Detection Algorithms and Convolution Neural Network, Automation in Construction (SCIE Q1 IF = 4.44).
  11. Dieu Tien Bui, Van Hung Le, Nhat-Duc Hoang (2018), GIS-Based Spatial Prediction of Tropical Forest Fire Danger Using a New Hybrid Machine Learning Method, Ecological Informatics (SCIE IF = 1.82), Accepted.
  12. Nhat-Duc Hoang*,  Quoc-Lam Nguyen (2018), Fast Local Laplacian Based Steerable and Sobel Filters Integrated with Adaptive Boosting Classification Tree for Automatic Recognition of Asphalt Pavement Cracks, Advances in Civil Engineering (SCIE, IF  = 0.83).
  13. Thu-Hien Tran, Nhat-Duc Hoang (2018), Predicting Algal Appearance on Mortar Surface with Ensembles of Adaptive Neuro Fuzzy Models: A Comparative Study of Ensemble Strategies, International Journal of Machine Learning and Cybernetics (ISI, IF = 1.7). Accepted.
  14. Nhat-Duc Hoang and Quoc-Lam Nguyen (2018), Automatic Recognition of Asphalt Pavement Cracks Based on Image Processing and Machine Learning Approaches: A Comparative Study on Classifier Performance, Mathematical Problems in Engineering (SCIE IF = 1.145).
  15. Nguyen Ngoc-Thach, Bao-Toan Ngo Dang, Xuan-Canh Pham, Hong-Thi Nguyen, Hang Thi Bui, Nhat-Duc Hoang, Dieu Tien Bui, 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 (SCI, IF 2.02), Link: https://www.sciencedirect.com/science/article/pii/S1574954118300852
  16. Nhat-Duc Hoang, Kuo-Wei Liao, Xuan Linh Tran (2018), Estimation of scour depth at bridges with complex pier foundations using support vector regression integrated with feature selection, Journal of Civil Structural Health Monitoring (ISI, Scopus), Accepted, In press.
  17. Nhat-Duc Hoang (2018), An Artificial Intelligence Method for Asphalt Pavement Pothole Detection Using Least Squares Support Vector Machine and Neural Network with Steerable Filter Based Feature Extraction, Advances in Civil Engineering (SCIE), Accepted, In press.
  18. Nhat-Duc Hoang, Quoc-Lam Nguyen (2018), A Novel method for asphalt pavement crack classification based on image processing and machine learning, Engineering with Computers (SCIE, IF 0.8), Accepted, In press.
  19. Nhat-Duc Hoang, Dieu Tien Bui (2018), Spatial Prediction of Rainfall-Induced Shallow Landslides Using Gene Expression Programming Integrated with GIS: A Case Study in Vietnam, Natural Hazards (SCI, IF = 1.83), Accepted, In press.
  20. Viet-Hung Dang, Dieu Tien Bui, Xuan Linh Tran, Nhat-Duc Hoang, 2018. Enhancing Accuracy of Rainfall-Induced Landslide Prediction along Mountain Road with GIS-Based Random Forest Classifier. Bulletin of Engineering Geology and the Environment (SCIE, IF = 1.9) (Accepted, In press)
  21. Nhat-Duc Hoang, Quoc-Lam Nguyen, Dieu Tien Bui (2018), Image Processing Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony, Journal of Computing in Civil Engineering (SCI, IF = 1.37), Accepted, In press.
  22. Nhat-Duc Hoang (2018) Detection of Surface Crack in Building Structure Using Image Processing Technique with an Improved Otsu Method for Image Thresholding, Advances in Civil Engineering (SCIE), https://www.hindawi.com/journals/ace/aip/3924120/.
  23. Kuo-Wei Liao, Nhat-Duc Hoang, Jessica Gitomarsono (2018), A Probabilistic Safety Evaluation Framework for Multi-Hazard Assessment in a Bridge using SO-MARS Learning Model, KSCE Journal of Civil Engineering (Impact Factor: 0.8). Accepted.
  24. Nhat-Duc Hoang*, Chun-Tao Chen, Kuo-Wei Liao (2017), Prediction of Chloride Diffusion in Cement Mortar Using Multi-Gene Genetic Programming and Multivariate Adaptive Regression Splines, Measurement (Impact factor = 2.4). Link: http://www.sciencedirect.com/science/article/pii/S0263224117305365
  25. QK Nguyen, DT Bui*, ND Hoang, PT Trinh, VH Nguyen, I Yilmaz (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: 1.34), 9, 813. Link: http://www.mdpi.com/2071-1050/9/5/813
  26. Tran, T.H., Hoang, N.-D.* (2017), Estimation of Algal Colonization Growth on Mortar Surface Using Least Squares Support Vector Machines with Flower Pollination Algorithm.Sādhanā. (Impact Factor: 0.35). Link: https://link.springer.com/journal/12046
  27.  N.-D. Hoang*, D.T. Vu, X.L. Tran, V.D. Tran (2017), Modeling Punching Shear Capacity of Fiber-Reinforced Polymer Concrete Slabs: a Comparative Study of Instance-Based and Neural Network Learning, Applied Computational Intelligence and Soft Computing. (ESCI). Link: https://www.hindawi.com/journals/acisc/aip/9897078/
  28. M-Y. Cheng, N.-D. Hoang (2017), Estimating Construction Duration of Diaphragm Wall Using Firefly-Tuned Least Squares Support Vector Machine, Neural computing and applications. (Impact Factor: 1.5). DOI: :10.1007/s00521-017-2840-z. Link: https://link.springer.com/article/10.1007/s00521-017-2840-z
  29. Tien Bui, D., Hoang, N-D., (2017).A Bayesian Framework Based on Gaussian Mixture Model and Radial Basis Function Fisher Discriminant Analysis for Flood Spatial Prediction (BayGmmKda V1.1). Geoscientific Model Development. (Impact Factor: 3.549). doi:10.5194/gmd-2016-311. Link:   http://www.geosci-model-dev-discuss.net/gmd-2016-311/
  30.  M-Y. Cheng, D.-H. Tran*, N.-D. Hoang (2017) Fuzzy Clustering Chaotic-Based Differential Evolution for Resource Leveling in Construction Projects, Journal of Civil Engineering and Management. Volume 23, 2017 - Issue 1 (Impact factor: 1.07). DOI: 10.3846/13923730.2014.982699. Link: http://www.tandfonline.com/doi/abs/10.3846/13923730.2014.982699
  31.   D.T Vu, N.-D. Hoang* (2016). Punching Shear Capacity Estimation of FRP-Reinforced Concrete Slabs Using a Hybrid Machine Learning Approach. Structure and Infrastructure Engineering. Volume 12, 2016 - Issue 9. (Impact factor: 1.45). DOI: 10.1080/15732479.2015.1086386. Link: http://www.tandfonline.com/doi/abs/10.1080/15732479.2015.1086386?journalCode=nsie20
  32. M.-Y. Cheng, N.-D. Hoang*(2016). A Self-Adaptive Fuzzy Inference Model Based on Least Squares SVM for Estimating Compressive Strength of Rubberized Concrete. International Journal of Information Technology & Decision Making Volume 15, Issue 03, May 2016. (Impact factor: 1.4). DOI: 10.1142/S0219622016500140  Link: http://www.worldscientific.com/doi/abs/10.1142/S0219622016500140
  33. Pham Anh Duc, Hoang, N.-D.*, Quang-Trung Nguyen  (2016), Predicting Compressive Strength of High Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression. Journal of Computing in Civil Engineering. Volume 30 Issue 3 - May 2016, (Impact Factor: 1.39). DOI: 10.1061/(ASCE)CP.1943-5487.0000506. Link: http://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000506
  34.   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: 1.252). Link:http://link.springer.com/article/10.1007/s10064-016-0924-0
  35.   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: 2.857). http://www.sciencedirect.com/science/article/pii/S156849461630179X
  36.  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: 3.049).http://link.springer.com/article/10.1007/s10346-016-0711-9
  37. 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: 3.049). http://link.springer.com/article/10.1007/s10346-016-0708-4
  38. 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: 2.762). Link:      http://www.tandfonline.com/doi/abs/10.1080/17538947.2016.1169561
  39. N.-D. Hoang, Dieu Tien Bui. (2016), A 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: 1.3)Link: http://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000557
  40.  N.-D. Hoang, A.-D. Pham (2016), Hybrid Artificial Intelligence Approach Based on Metaheuristic and Machine Learning for Slope Stability Assessment: A Multinational Data Analysis. Expert Systems with Applications, DOI: 10.1016/j.eswa.2015.10.020 (Impact factor: 2.240) Link: http://www.sciencedirect.com/science/article/pii/S0957417415007150
  41.  Thu-Hien Tran, Hoang, N.-D.*(2016). Predicting Colonization Growth of Algae on Mortar Surface with Artificial Neural Network, Journal of Computing in Civil Engineering.  Volume 30 Issue 6 - November 2016. (Impact factor: 1.37).DOI: 10.1061/(ASCE)CP.1943-5487.0000599.Link:http://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000599
  42.  Hoang, N.-D.*, Anh-Duc Pham, Quoc-Lam Nguyen, and Quang-Nhat Pham (2016). Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model, Advances in Civil Engineering. (ESCI) . DOI: 10.1155/2016/2861380. Link: https://www.hindawi.com/journals/ace/2016/2861380/
  43. Cheng, M.-Y., and Hoang, N.-D.* (2015). A Swarm-Optimized Fuzzy Instance-based Learning approach for predicting slope collapses in mountain roads. Knowledge-Based Systems. Volume 76, March 2015, Pages 256–263. (Impact Factor = 3.06). DOI: 10.1016/j.knosys.2014.12.022. Link: http://www.sciencedirect.com/science/article/pii/S0950705114004602
  44.   M.-Y. Cheng, N.-D. Hoang* (2015), Evaluating Contractor Financial Status Using a Hybrid Fuzzy Instance Based Classifier: Case Study in the Construction Industry, IEEE Transaction on Engineering Management. (Impact Factor :1.0).  DOI: 10.1109/TEM.2014.2384513. Link: http://ieeexplore.ieee.org/abstract/document/7031914/?reload=true
  45. M.-Y. Cheng, N.-D. Hoang* (2015), Slope Collapse Prediction Using Bayesian Framework with K-Nearest Neighbor Density Estimation: Case Study in Taiwan. Journal of Computing in Civil Engineering, (Impact Factor: 1.39). DOI: 10.1061/(ASCE)CP.1943-5487.0000456, 04014116. Link: http://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000456
  46.  M.-Y. Cheng, N.-D. Hoang*, Y.-W. Wu (2015), Cash Flow Prediction for Construction Project Using a Novel Adaptive Time-Dependent Least Squares Support Vector Machine Inference Model, Journal of Civil Engineering and Management, Volume 21, 2015 - Issue 6, (Impact Factor: 1.3), DOI: 10.3846/13923730.2014.893906. Link: http://www.tandfonline.com/doi/abs/10.3846/13923730.2014.893906
  47. N.-D. Hoang*, Quoc-Lam Nguyen and Quang-Nhat Pham (2015) Optimizing Construction Project Labor Utilization Using Differential Evolution: A Comparative Study of Mutation Strategies," Advances in Civil Engineering, (SCIE). DOI: 10.1155/2015/108780.  Link: https://www.hindawi.com/journals/ace/2015/108780/
  48. M-Y. Cheng, N.-D. Hoang* (2015), Typhoon-induced slope collapse assessment using a novel bee colony optimized support vector classifier, Natural Hazards 78 (3) (Impact Factor: 1.72). DOI: 10.1007/s11069-015-1813-8. Link: https://link.springer.com/article/10.1007/s11069-015-1813-8
  49. Cheng, M., and Hoang, N.-D.* (2014). Risk Score Inference for Bridge Maintenance Project Using Evolutionary Fuzzy Least Squares Support Vector Machine. Journal of Computing in Civil Engineering, ASCE, 28(3), 04014003. (Impact Factor: 1.39). DOI: 10.1061/(ASCE)CP.1943-5487.0000275. Link: http://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000275
  50. Cheng, M., and Hoang, N.-D * (2014). "Groutability Estimation of Grouting Processes with Microfine Cements Using an Evolutionary Instance-Based Learning Approach." Journal of Computing in Civil Engineering, ASCE, 28(4), 04014014. (Impact Factor: 1.39). DOI: 10.1061/(ASCE)CP.1943-5487.0000370#sthash.eUJhSPFI.dpuf. Link: http://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000370
  51. Cheng, M.-Y., and Hoang, N.-D.* (2014). "Groutability prediction of microfine cement based soil improvement using evolutionary LS-SVM inference model." Journal of Civil Engineering and Management, Volume 20, 2014 - Issue 6, Pages 839-848. (Impact Factor: 1.3). DOI: 10.3846/13923730.2013.802717.  Link: http://www.tandfonline.com/doi/abs/10.3846/13923730.2013.802717
  52.   Cheng, M.-Y., and Hoang, N.-D.* (2014). A novel groutability estimation model for ground improvement projects in sandy silt soil based on Bayesian framework. Tunnelling and Underground Space Technology, 43, 453-458. (Impact Factor: 1.59). DOI: 10.1016/j.tust.2014.07.001.  Link: http://www.sciencedirect.com/science/article/pii/S0886779814000996
  53. Cheng, M.-Y., Hoang, N.-D.*, Limanto, L., and Wu, Y.-W. (2014). A novel hybrid intelligent approach for contractor default status prediction. Knowledge-Based Systems, 71(0), 314-321. (Impact Factor = 3.06). DOI: 10.1016/j.knosys.2014.08.009. Link: http://www.sciencedirect.com/science/article/pii/S0950705114002913
  54.   Hoang, N.-D.*, Pham, A.-D., and Cao, M.-T. (2014). A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence. Applied Computational Intelligence and Soft Computing, 2014, 8. (ESCI). DOI: 10.1155/2014/754809. Link: https://www.hindawi.com/journals/acisc/2014/754809/
  55. Cheng, M.-Y., Hoang, N.-D.*, and Wu, Y.-W. (2013). Hybrid intelligence approach based on LS-SVM and Differential Evolution for construction cost index estimation: A Taiwan case study. Automation in Construction, 35, 306-313. (Impact Factor: 1.82). DOI: 10.1016/j.autcon.2013.05.018.  Link: http://www.sciencedirect.com/science/article/pii/S092658051300085X
  56.   Cheng, M.-Y., and Hoang, N.-D.* (2013). Interval Estimation of Construction Cost at Completion Using Least Squares Support Vector Machine. Journal of Civil Engineering and Management, 20(2), 223-236. (Impact Factor: 1.3). Link: http://www.tandfonline.com/doi/abs/10.3846/13923730.2013.801891
  57. Cheng, M.-Y., Hoang, N.-D.*, Roy, A. F. V., and Wu, Y.-W. (2012). A novel time-depended evolutionary fuzzy SVM inference model for estimating construction project at completion. Engineering Applications of Artificial Intelligence, 25(4), 744–752. DOI: 10.1016/j.engappai.2011.09.022.(Impact Factor: 1.96). Link: http://www.sciencedirect.com/science/article/pii/S0952197611001758

  Phản Biện Trong Các Tạp Trí Sau (Journal Referee)

  • Advances in Engineering Software (Elsevier)
  • Applied Intelligence (Springer) 
  • Automation in construction (Elsevier) (Outstanding Reviewer)
  • Applied Soft Computing (Elsevier) (Recognized Reviewer)
  • Construction & Building Materials (Elsevier) 
  • IEEE Transaction on Engineering Management ( Institute of Electrical and Electronics Engineers, IEEE)
  • Journal of Civil Engineering and Management (Taylor & Francis)
  • Journal of Computing in Civil Engineering (American Society of Civil Engineers, ASCE)
  • Journal of Computational Design and Engineering (Elsevier)
  • Knowledge-based Systems (Elsevier)
  • Measurement (Elsevier)
  • Neural Computing and Applications (Springer)   
  • Probabilistic Engineering Mechanics (Elsevier)
  • Plos One
  • Tunnelling and Underground Space Technology (Elsevier)

Các công bố quốc tế khác (International publication)

  1. Hong-Hai Tran, N.-D. Hoang* (2014), An Artificial Intelligence Approach for Groutability Estimation Based on Auto-Tuning Support Vector Machine. Journal of Construction Engineering. Doi:10.1155/2014/109184.  Link: https://www.hindawi.com/journals/jcen/2014/109184/
  2. Hong-Hai Tran, N.-D. Hoang* (2014),A Novel Resource Leveling Approach for Construction Project Based on Differential Evolution”, Journal of Construction Engineering.  Doi:10.1155/2014/648938. Link: https://www.hindawi.com/journals/jcen/2014/648938/
  3. N.-D. Hoang* (2014), NIDE - a Novel Improved Differential Evolution for Construction Project Crashing Optimization, Journal of Construction Engineering. Doi: 10.1155/2014/136397. Link:https://www.hindawi.com/journals/jcen/2014/136397/
  4. Xuan-Toan Nguyen, Van-Duc Tran and N.-D. Hoang*, A Study on the Dynamic Interaction between Three-Axle Vehicle and Continuous Girder Bridge with Consideration of Braking Effects, Journal of Construction Engineering. Doi: 10.1155/2017/92932309. Link: https://www.hindawi.com/journals/jcen/2017/9293239/abs/
  5. N.-D. Hoang., D. Tien Bui (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. 2.
  6. Tien Bui, D., Bui, K-TT., Bui, Q-T., Doan, CV., N.-D. Hoang, (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
  7. Xuan-Toan Nguyen, Van-Duc Tran, and Nhat-Duc Hoang ,(2017)An Investigation on the Dynamic Response of Cable Stayed Bridge with Consideration of Three-Axle Vehicle Braking Effects, Journal of Computational Engineering. Link: https://www.hindawi.com/journals/jcengi/aip/4584657/ 
  8. Nhat-Duc Hoang, Dieu Tien Bui, (2017) GIS-Based Landslide Spatial Modeling Using Batch-Training Back-Propagation Artificial Neural Network: A Study of Model Parameters, Book Chapter, Advances and Applications in Geospatial Technology and Earth Resources, Springer. 

Sách và giáo trình (Book)

          Dieu Tien Bui, Anh Ngoc Do, Hoang-Bac Bui, Nhat-Duc Hoang (2017), Advances and Applications in Geospatial Technology and Earth Resources. Springer. 

 

 Bài báo trong nước (Vietnamese Journal Articles)

  1. Hoàng Nhật Đức, Pham Anh Đức, 2014, Một phương pháp mới cho điều hòa tài nguyên của dự án xây dựng sử dụng thuật toán tiến hóa, Tạp chí khoa học công nghệ - Đại học Duy Tân.
  2. Hoàng Nhật Đức, Nguyễn Quốc Lâm, Phạm Quang Nhật, 2015, Tối ưu hóa tiến độ và chi phí cho dự án xây dựng sử dụng thuật toán tiến hóa vi phân, Tạp chí khoa học công nghệ - Đại học Duy Tân.
  3. Hoang Nhat Duc; Vu Duy Thang*, 2015, Tối ưu hóa kết cấu có điều ràng buộc sử dụng thuật toán bầy đom đóm và các hàm phạt, Tạp chí khoa học công nghệ - Đại học Duy Tân.
  4. Hồ Văn Võ Sĩ, Hoàng Nhật Đức*, Vũ Duy Thắng, Nguyễn Thị Bích Thủy, 2016, Ứng dụng mô hình thông tin xây dựng (BIM) vào việc đo bóc khối lượng công trình xây dựng, Tạp chí khoa học công nghệ - Đại học Duy Tân.
  5. Hoàng Nhật Đức*, Phạm Anh Đức, 2016, Xây Dựng Mô Hình Hồi Quy Đa Biến Để Tính Toán Cường Độ Chịu Nén Của Hỗn Hợp Bê Tông Tính Năng Cao, Tạp chí khoa học công nghệ - Đại học Duy Tân 2 (19).
  6. Vũ Duy Thắng, Hoàng Nhật Đức, 2017, Phân tích phi tuyến hình học phần từ hữu hạn tấm composite theo lý thuyết góc xoay trung bình, Tạp chí khoa học công nghệ - Đại học Duy Tân 1 (20).
  7. Đặng Hồng Long, Lê Công Duy, Hoàng Nhật Đức, Ứng dụng thuật toán tiến hóa vi phân đột biến hỗn hợp (HCDE) xác ðịnh tần số dao ðộng riêng của kết cấu khung phẳng có tham số ðầu vào dạng số khoảng, Tạp chí KHCN Xây dựng – số 4/201
  8. Hoàng Nhật Đức, Vũ Thế Hiệp, Phan Lê Thành, Nguyễn Thị Thanh, Ứng Dụng Phương Pháp Quy Hoạch Tuyến Tính Cho Bài Toán Tối Ưu Hóa Trong Quản Lý Dự Án Xây Dựng, Tạp chí KHCN ĐH Duy Tân, 2(21), 2017.
  9. Dương Minh Châu, Hoàng Nhật Đức, Sử dụng thuật toán di truyền đa mục tiêu tối ưu hóa quá trình tìm kiếm bãi đỗ xe trong đô thị, Tạp chí KHCN ĐH Duy Tân, 3(22), 2017.
  10. Hồ Văn Võ Sĩ, Hoàng Nhật Đức, Nguyễn Thị Thanh, Nâng cao hiệu quả của công tác đo bóc khối lượng công trình xây dựng với mô hình thông tin xây dựng (BIM), Tạp chí KHCN ĐH Duy Tân (2018)
  11. Hoàng Nhật Đức, Phan Thanh Tùng, Ứng dụng công nghệ nhận dạng bằng sóng radio (rfid) trong công tác quản lý dự án xây dựng, Journal of Science and Technology, 06 (25) (2018) 59-68.
  12. Hoàng Nhật Đức, Trần Xuân Linh, Soil Slope Stability Evaluation Using a Fuzzy Instance-Based Classifer with Flower Pollination Algorithm, Journal of Science and Technology, 02(27) (2018) 59-68.

Hội thảo (Conference papers) 

  1. M.-Y. Cheng, N.-D. Hoang, Y.-W. Wu, "Prediction of project cash flow using time-depended evolutionary LS-SVM inference model," in Proceedings of the ISARC 2012 International Symposium of Automation and Robotics in Construction, Eindhoven, the Netherlands, 2012.
  2. M.-Y. Cheng, N.-D. Hoang,"Estimating Compressive Strength of Rubberized Concrete Using Evolutionary Least Squares Support Vector Machine", in Proceedings of the 16th Construction Engineering and Management Symposium, 2012, Chao Yang University of Technology, Taiwan.
  3. M.-Y. Cheng, D.-H. Tran, N.-D. Hoang,"Fuzzy Clustering Chaotic Differential Evolution for Construction Project Resource Leveling", in Proceedings of the 16th Construction Engineering and Management Symposium, 2012, Chao Yang University of Technology, Taiwan (Best paper award).
  4. Lisayuri Limanto, M.-Y. Cheng, N.-D. Hoang, "A Hybrid Inference Model Based on Synthetic Minority Over-sampling Technique and Evolutionary Least Square SVM for Predicting Construction Contractor Default Status", in Proceedings of the 17th Construction Engineering and Management Symposium, 2013, Tam Kang University, Taipei, Taiwan (Best paper award).
  5. M.-Y. Cheng, N.-D. Hoang, N.-W. Chang, "Bayesian Classifier with K-Nearest Neighbor Density Estimation For Slope Collapse Prediction", in Proceedings of the ISARC 2013 International Symposium of Automation and Robotics in Construction, Montreal, Canada, 2013.
  6. Nhat-Duc, Hoang; Bui Tien, Dieu. Groutability estimation of granular soils with cement-based grouts using a hybridization of soft computing approaches. World Multidisciplinary Earth Sciences Symposium; 2015-09-07 - 2015-09-11
  7. Bui Tien, Dieu; Hoang, Nhat-Duc; Yilmaz, Isik. Classifier ensemble of instance based learning algorithm with rotation forest technique for mapping of rainfall-induced shallow landslides using GIS. World Multidisciplinary Earth Sciences Symposium; 2015-09-07 - 2015-09-11.
  8. Nguyễn Thị Bích Thuỷ, Hoàng Nhật Đức, Vũ Thế Hiệp, Phan Lê Thành, Giải bài toán tối ưu nguồn lực trong lập kế hoạch sản xuất các cấu kiện chế tạo sẵn trong dự án xây dựng với phương pháp quy hoạch phi tuyến, Hội Thảo Khoa Học "Công Nghệ Xây Dựng Tiên Tiến Hướng Đến Phát Triển Bền Vững - ATCESD 2016, Đại Học Bách Khoa Đà Nẵng (08/2016).

 Luận Văn (Dissertations)

  1. N.-D. Hoang, (2008) Estimate at Completion Using Time-Dependent Evolutionary Fuzzy Support Vector Machine Inference Model, Master Thesis, National Taiwan University of Science and Technology (http://pc01.lib.ntust.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726110-111118)
  2. N.-D. Hoang, (2013) Decision Support System for Construction Management Based on Evolutionary Least Squares Support Vector Machine, Doctor Dissertation, National Taiwan University of Science and Technology (http://pc01.lib.ntust.edu.tw/ETD-db/ETD-search-c/view_etd?URN=etd-0709113-222726)

 

Hướng dẫn Thạc sĩ và Nghiên cứu sinh

Hướng dẫn nghiên cứu sinh và học viên cao học (Thesis Instructor)

1. Võ Tuyên. Ứng dụng trí tuệ nhân tạo trongdự báo sạt lở đất (2016).

2. Phan Thanh Tùng. Ứng dụng công nghệ nhận dạng bằng song radio (RFID) trong công tác quản lý xây dựng (2017)

3. Trần Văn Út. Ứng dụng thuật toán di truyền cho việc tối ưu hóa công tác xử lý nước thải tại khu công nghiệp (2017)

4.  Vũ Thế Hiệp. Ứng dụng phương pháp quy hoạch tuyến tính và phi tuyến cho tối ưu hoá nhân lực trong dự án xây dựng (2017)

5. Lê Công Hải (2018) Ứng dụng mạng nơ ron thần kinh nhân tạo trong mô phỏng khả năng chịu cắt của sàn bê tông cốt gia cường bởi sợi Polyme (Đang thực hiện).

6. Trần Duy Khánh (2018) Phát hiện Vết nứt Bề mặt trong Kết cấu Công trình Bằng Kỹ thuật Xử lý Ảnh với Phương pháp Otsu được Cải tiến (Đang thực hiện).

7. Nguyễn Duy Tân (2018) Ứng dụng trí tuệ nhân tạo để mô phỏng nồng độ Clo của bê tông trong môi trường nước biển (Đang thực hiện).

8. Nguyễn T. M. Thùy (2018) Ứng dụng trí tuệ nhân tạo để mô phỏng sự phát triển của tảo xanh trên bề mặt vữa xi măng (Đang thực hiện).

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Courses

Lý thuyết tối ưu hóa (Cao Học Ngành Xây Dựng)

Course: Engineering Optimization (Post-graduate program)

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Môn học - Quản lý dự án

Course: Construction Project Management (Master program)

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Môn học - Quản lý dự án

Course: Construction Project Management (Undergraduate program)

Hướng dẫn tải Octave 

Slide: https://drive.google.com/open?id=1YLPjUrZHCSFWqGtaQLozKFK9R4R9kf-8

Link Google Drive: https://drive.google.com/open?id=1SSyyHgufFt-Ep27vnRloMEBvHUHo-G_Z

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PSO Solver in Octave: https://drive.google.com/open?id=1BtIxFGuLgl4migMqiOguKfn_xcx9Srq6

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Site Layout Optimization Problem  (Excel): 

http://www.mediafire.com/file/381b4jb15m83yny/SiteLayoutProblem_10x10.rar/file

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PSO - Excel Solver

http://www.mediafire.com/file/ysz9ncu80l2i1v0/PSOExcelSolver.rar/file

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Project Schedule Optimization - Octave files

CPM Calculation function: 

http://www.mediafire.com/file/7rrg261ms1w511i/Compute_CPM.rar/file

Resource Leveling program:

https://www.mediafire.com/file/rwjbm9bd5uzooh7/ResourceLeveling.rar/file

Project Crashing program:

https://www.mediafire.com/file/i8490qt3zfj497h/ProjectCrashing.rar/file

Project Cashflow program:

http://www.mediafire.com/file/iyi7kgq1o6ty7k9/ProjectCashFlow.rar/file

Project Delay program:

https://www.mediafire.com/file/byd3zeizd365fg6/ProjectDelay.rar/file

 

Project Simulation program:

http://www.mediafire.com/file/tjeos5ae5f0a5fc/Simulation.rar/file

Các giải thưởng
  1. Bài báo cáo xuất sắc nhất năm 2012: M.-Y. Cheng, D.-H. Tran*, N.-D. Hoang, "Fuzzy Clustering Chaotic Differential Evolution for Construction Project Resource Leveling", in Proceedings of the16th Construction Engineering and Management Symposium, 2012, Chao Yang University of Technology, Taiwan.
  2. Bài báo cáo xuất sắc nhất năm 2013: Lisayuri Limanto*, M.-Y. Cheng, N.-D. Hoang, "A Hybrid Inference Model Based on Synthetic Minority Over-sampling Technique and Evolutionary Least Square SVM for Predicting Construction Contractor Default Status", in Proceedings of the 17th Construction Engineering and Management Symposium, 2013, Tam Kang University, Taipei, Taiwan.