Vahid Asghari

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Shu-Chien HsuAssociate Professor, Department of Civil and Environmental Engineering, The Hong Kong PolytechnicVerified email at polyu.edu.hk
Chia-Jung LeeDepartment of International Business, Tunghai UniversityVerified email at go.thu.edu.tw
Clara Man CheungReader in Engineering Management, Department of Engineering ManagementVerified email at manchester.ac.uk
Andy Y.F. LeungThe Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Jieh-Haur ChenDistinguished Professor, Department of Civil Engineering/Research Center of Smart Center, NationalVerified email at ncu.edu.tw
Ava Jahan BiglariCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Mohammad Hossein KazemiPh.D. Student, Penn StateVerified email at psu.edu
Pingbo Tang, 唐平波Associate Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Hsi-Hsien WeiThe Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
HF DUANAssociate Professor, Dept of Civil & Environmental Engineering, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Alireza KeramatThe Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Yanyu WangLouisiana State UniversityVerified email at lsu.edu
Sérgio Cirelli AnguloProfessor, Escola Politécnica, Universidade de São PauloVerified email at poli.usp.br
Dongxing XUANThe Hong Kong Polythechnic UniversityVerified email at polyu.edu.hk
Vanderley M. JohnPolytechnic School, University of Sao PauloVerified email at usp.br
Anusha S. BasavarajPost Doctoral Research Associate, Imperial College LondonVerified email at imperial.ac.uk
Chor Man LamThe Hong Kong Polytechnic UniversityVerified email at connect.polyu.hk
Chi Sun PoonThe Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Ravindra GettuIIT MadrasVerified email at iitm.ac.in
Xiaoyi LiuThe Hong Kong Polytechnic UniversityVerified email at connect.polyu.hk

Vahid Asghari

The Hong Kong Polytechnic University

Verified email at connect.polyu.hk

Investment under uncertainty Machine learning in Engineering Probabilistic Modeling Statistical Analyisis


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Deep neural network based framework for complex correlations in engineering metrics V Asghari, YF Leung, SC Hsu Advanced Engineering Informatics 44, 101058, 2020	37	2020
Detecting corporate misconduct through random forest in China’s construction industry R Wang, V Asghari, SC Hsu, CJ Lee, JH Chen Journal of cleaner production 268, 122266, 2020	36	2020
Assessing effects of economic factors on construction cost estimation using deep neural networks R Wang, V Asghari, CM Cheung, SC Hsu, CJ Lee Automation in Construction 134, 104080, 2022	35	2022
Expediting life cycle cost analysis of infrastructure assets under multiple uncertainties by deep neural networks V Asghari, SC Hsu, HH Wei Journal of Management in Engineering 37 (6), 04021059, 2021	13	2021
An open-source and extensible platform for general infrastructure asset management system V Asghari, SC Hsu Automation in Construction 127, 103692, 2021	10	2021
Machine learning modeling for spectral transient-based leak detection V Asghari, MH Kazemi, HF Duan, SC Hsu, A Keramat Automation in Construction 146, 104686, 2023	8	2023
Effectiveness of interventions for controlling COVID-19 transmission between construction workers and their close contacts Z Yuan, SC Hsu, CM Cheung, V Asghari Journal of management in engineering 38 (3), 04022010, 2022	8	2022
Optimal timing of the seismic vulnerability reduction measures using real options analysis V Asghari, H Kashani, SC Hsu ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2021	8	2021
Reinforcement learning in construction engineering and management: A review V Asghari, Y Wang, AJ Biglari, SC Hsu, P Tang Journal of Construction Engineering and Management 148 (11), 03122009, 2022	7	2022
Upscaling complex project-level infrastructure intervention planning to network assets V Asghari, SC Hsu Journal of Construction Engineering and Management 148 (1), 04021188, 2022	7	2022
Multiagent reinforcement learning for project-level intervention planning under multiple uncertainties V Asghari, AJ Biglari, SC Hsu Journal of Management in Engineering 39 (2), 04022075, 2023	4	2023
Discrepancies in life cycle assessment (LCA) applied to concrete waste recycling: A structured review X Liu, V Asghari, CM Lam, SC Hsu, D Xuan, SC Angulo, VM John, ... Journal of Cleaner Production, 140155, 2023	3	2023
Process-oriented guidelines for systematic improvement of supervised learning research in construction engineering V Asghari, MH Kazemi, M Shahrokhishahraki, P Tang, A Alvanchi, ... Advanced Engineering Informatics 58, 102215, 2023	2	2023
GIAMS - A General Infrastructure Asset Management System V Asghari, SC Hsu https://github.com/vd1371/GIAMS, 2020	2	2020
Deep Neural Networks for Prediction of Undrained Shear Strength of Clays V Asghari, AYF Leung, MSC Hsu 7th International Symposium on Geotechnical Safety and Risk (ISGSR 2019), 2019	1	2019
Upscaling infrastructure asset management systems under complex uncertainties to network assets using machine learning V Asghari Hong Kong Polytechnic University, 2022		2022

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