Multiscale Homogenization of Pre-treatment Rapid and Slow Filtration Processes with Experimental and Computational Validations. - Alvin Wei Ze Chew; Adrian Wing-Keung Law (ICCS (2), 2018)

High Performance Computational Hydrodynamic Simulations: UPC Parallel Architecture as a Future Alternative. - Alvin Wei Ze Chew; Tung Thanh Vu; Adrian Wing-Keung Law (ICCS (1), 2018)

Novel multiscale grid representations of deep neural network layers for modelling complex engineering processes. - Alvin Wei Ze Chew (CCIS, 2019)

Computational Flood Modeling with UPC Architecture. - Tung Thanh Vu; Adrian Wing-Keung Law; Tien H. Nguyen; Alvin Wei Ze Chew (J. Comput. Civ. Eng., 2019)

Feature engineering using homogenization theory with multiscale perturbation analysis for supervised model-based learning of physical clogging condition in seepage filters. - Alvin Wei Ze Chew; Adrian Wing-Keung Law (J. Comput. Sci., 2019)

Optimizing Speedup Performance of Computational Hydrodynamic Simulations with UPC Programming Model. - Alvin Wei Ze Chew; Adrian Wing-Keung Law; Tung Thanh Vu (J. Comput. Civ. Eng., 2020)

Homogenization theory with multiscale perturbation analysis for supervised learning of complex adsorption-desorption process in porous-media systems. - Alvin Wei Ze Chew; Adrian Wing-Keung Law (J. Comput. Sci., 2020)

Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission. - Alvin Wei Ze Chew; Yue Pan; Ying Wang 081; Limao Zhang (Knowl. Based Syst., 2021)

Raw data (filtration concentration & streamflow height parameters) for training MPINN-UPC model and other ML models. - Alvin Wei Ze Chew; Limao Zhang (IEEE DataPort, 2021)

Predictive modeling framework accelerated by GPU computing for smart water grid data-driven analysis in near real-time. - Rony Kalfarisi; Alvin Wei Ze Chew; Jianping Cai; Meng Xue; Jocelyn Pok; Zheng Yi Wu (Adv. Eng. Softw., 2022)

Deep learning modeling of public's sentiments towards temporal evolution of COVID-19 transmission. - Ying Wang 081; Alvin Wei Ze Chew; Limao Zhang (Appl. Soft Comput., 2022)

Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning. - Renfei He; Limao Zhang; Alvin Wei Ze Chew (Knowl. Based Syst., 2022)

Data-driven multi-step prediction and analysis of monthly rainfall using explainable deep learning. - Renfei He; Limao Zhang; Alvin Wei Ze Chew (Expert Syst. Appl., 2024)