Name

Ngoc-Tri Ngo, Ph.D, PMP®

Dr. in Construction Management

Post

Currently, Dr. Ngoc-Tri Ngo is a senior lecturer and the vice dean of the faculty of Project Management at the University of Danang - University of Science and Technology (DUT), Vietnam. Dr. Ngo earned his master and doctoral degree in the Construction Management at the Department of Civil and Construction Engineering in the National Taiwan University of Science and Technology in 2013 and 2017, respectively. He received  his bachelor in the Civil and Industrial Engineering at the University of Danang – University of Science and Technology in 2008.  

Dr. Ngoc-Tri Ngo specializes in digital construction engineering management. Dr. Dr. Ngo has been registering as Project Management Professional (PMP®) by PMI, USA. His expertise is in project management, artificial intelligence applications in the built environment, building information modeling, optimization, and building energy modeling.

Academic career

-      Ph.D., Construction Management, National Taiwan University of Science and Technology, Taiwan (2017).

-      Msc., Construction Management, National Taiwan University of Science and Technology, Taiwan (2013).

-      Bachelor, Civil and Industrial Engineering, University of Danang – University of Science and Technology, Vietnam (2008).

Employment

-      Lecturer, Faculty of Project Management, the University of Danang – University of Science and Technology, Vietnam, 2008-present.

-     Research Fellow, Department of Buildings, National University of Singapore, Singapore, 2017-2018.

-      Senior Lecturer, Vice Dean, Faculty of Project Management, the University of Danang – University of Science and Technology, Vietnam, 2021-present.

Research and development projects over the last 5 years

1.   PI, the research project “Developing a machine learning-based hybrid model for energy usage forecasting in non-residential buildings towards sustainable development”, 102.05-2019.01, granted by the National Foundation for Science and Technology Development (Nafosted), the Ministry of Science and Technology, Vietnam, 2019-2021.

2. PI, the research project “Developing an artificial intelligence model for evaluating the ultimate bearing capacity in concrete-filled steel tube columns with various concrete strengths”, B2020-DNA-04, granted by the Ministry of Education and Training, Vietnam, 2020-2022.

3. PI, the research project “An application of artificial intelligence for early predicting compressive strength in foam concrete toward sustainable development”, T2019-02-37, granted by the University of Danang – University of Science and Technology, Vietnam, 2020.

Industry collaborations over the last 5 years

PI, “Applications of artificial intelligence for early predicting energy consumption patterns in buildings toward sustainable development”, VINIF.2019.DA05, In collaboration with the Vingroup Innovation Foundation – VINIF, Institute of Big Data – VNCDLL, 2019-2022.

Patents and proprietary rights

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Important publications over the last year

1.   Ngoc-Tri Ngo*, Hoang An Le & Thi-Phuong-Trang Pham, Integration of support vector regression and grey wolf optimization for estimating the ultimate bearing capacity in concrete-filled steel tube columns, Neural Computing and Applications, ISSN: 1433-3058, Published 03 January 2021. SCIE, Q1, IF = 5.606, H-index = 80.

2.     Anh-Duc Pham, Ngoc-Tri Ngo*, Thi Thu Ha Truong, Nhat-To Huynh, Ngoc-Son Truong, Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability, Journal of Cleaner Production, ISSN: 1879-1786, Volume 260, 1 July 2020, 121082. SCIE, Q1, IF = 9.297, H-index = 200.

3.  Ngoc-Tri Ngo*, Thi-Phuong-Trang Pham, Hoang An Le, Quang-Trung Nguyen, Thi-Thao-Nguyen Nguyen, Axial strength prediction of steel tube confined concrete columns using a hybrid machine learning model, Structures, Volume 36, February 2022, Pages 765-780, SCIE, Q1, IF = 4.010, H-index = 29

4.      Ngoc-Tri Ngo*, Anh-Duc Pham, Thi Thu Ha Truong, Ngoc-Son Truong, Nhat-To Huynh & Tuan Minh Pham, An Ensemble Machine Learning Model for Enhancing the Prediction Accuracy of Energy Consumption in Buildings, Arabian Journal for Science and Engineering, ISSN: 2191-4281, Published: 30 June 2021. SCIE, Q1, H-index = 43.

5.       Anh-Duc Pham, Ngoc-Tri Ngo*, Quang-Trung Nguyen, Ngoc-Son Truong, Hybrid machine learning for predicting strength of sustainable concrete, Soft Computing, ISSN: 1433-7479, Published: 11 March 2020. SCIE, Q2, IF = 3.643, H-index = 84.

6.  Adrian Chong*, Weili Xu, Song Chao, Ngoc-Tri Ngo, Continuous-time Bayesian calibration of energy models using BIM and energy data, Energy and Buildings, ISSN: 0378-7788, Volume 194, 1 July 2019, Pages 177-190. SCIE, Q1, IF = 5.879, H-index = 184.

Activities in specialist bodies over the last 5 years

- Reviewer members: Journal of Cleaner Production, Neural Computing and Applications, Soft Computing, Energy and Buildings, Journal of Science and Technology, The University of Danang, Journal of Science and Technology in Civil Engineering (STCE Journal), so on.

- 2019, International Scientific Committee, Congrès International de Géotechnique - Ouvrages – Structures ( CIGOS 2019), Oct. 31 - Nov. 1, 2019 Hanoi, Vietnam.

- 2019, Program Committee Member, First International Conference on Advances in Signal Processing and Artificial Intelligence( ASPAI' 2019), 20-22 March 2019 Barcelona, Spain.

- 2018, Technical Program Committee, 2018 Construction Research Congress (CRC 2018), April 2-5, 2018, New Orleans, Louisiana, USA

- 2017, Technical Program Committee, The 3rd International Conference on Fuzzy Systems and Data Mining (FSDM 2017), Nov. 24-27, 2017, National Dong Hwa University, Hualien, Taiwan

- 2017, Scientific Committee, 34th International Symposium on Automation and Robotics in Construction, June 28 - July 1, 2017, NTUST, Taipei, Taiwan

- 2017, Technical Program Committee, 2017 International Conference on Architecture and Civil Engineering, Aug. 18-20, 2017, Guilin, China.