Andrew Chung Chee Law

About Andrew Chung Chee Law

Andrew Chung Chee Law, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Virginia Polytechnic Institute and State University, specializes in the field of Industry Analytics, In-process Sensing and Control, Data Mining and Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold

Deep Gaussian Process for Enhanced Bayesian Optimization and its Application in Additive Manufacturing

A mask-guided attention deep learning model for COVID-19 diagnosis based on an integrated CT scan images database

Real-time process monitoring and closed-loop control on laser power via a customized laser powder bed fusion platform

Smart Quality Assurance System for Additive Manufacturing using Data-driven based Parameter-Signature-Quality Framework

Super resolution for multi-sources image stream data using smooth and sparse tensor completion and its applications in data acquisition of additive manufacturing

Reinforcement learning-based defect mitigation for quality assurance of additive manufacturing

Development of structured light 3D-scanner with high spatial resolution and its applications for additive manufacturing quality assurance

Andrew Chung Chee Law Information

University

Position

___

Citations(all)

301

Citations(since 2020)

301

Cited By

29

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Andrew Chung Chee Law Skills & Research Interests

Industry Analytics

In-process Sensing and Control

Data Mining and Machine Learning

Top articles of Andrew Chung Chee Law

Title

Journal

Author(s)

Publication Date

Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold

Journal of Intelligent Manufacturing

Andrew Chung Chee Law

Rongxuan Wang

Jihoon Chung

Ezgi Kucukdeger

Yang Liu

...

2024/4

Deep Gaussian Process for Enhanced Bayesian Optimization and its Application in Additive Manufacturing

IISE Transactions

Raghav Gnanasambandam

Bo Shen

Andrew Chung Chee Law

Chaoran Dou

Zhenyu Kong

2024/1/31

A mask-guided attention deep learning model for COVID-19 diagnosis based on an integrated CT scan images database

IISE Transactions on Healthcare Systems Engineering

Maede Maftouni

Bo Shen

Andrew Chung Chee Law

Niloofar Ayoobi Yazdi

Fahimeh Hadavand

...

2023/4/3

Real-time process monitoring and closed-loop control on laser power via a customized laser powder bed fusion platform

Additive Manufacturing

Rongxuan Wang

Benjamin Standfield

Chaoran Dou

Andrew C Law

Zhenyu James Kong

2023/3/25

Smart Quality Assurance System for Additive Manufacturing using Data-driven based Parameter-Signature-Quality Framework

Andrew Chung Chee Law

2022/8/2

Super resolution for multi-sources image stream data using smooth and sparse tensor completion and its applications in data acquisition of additive manufacturing

Technometrics

Bo Shen

Rongxuan Wang

Andrew Chung Chee Law

Rakesh Kamath

Hahn Choo

...

2022/1/2

Reinforcement learning-based defect mitigation for quality assurance of additive manufacturing

Journal of Manufacturing Systems

Jihoon Chung

Bo Shen

Andrew Chung Chee Law

Zhenyu James Kong

2022/10/1

Development of structured light 3D-scanner with high spatial resolution and its applications for additive manufacturing quality assurance

The International Journal of Advanced Manufacturing Technology

Rongxuan Wang

Andrew C Law

David Garcia

Shuo Yang

Zhenyu Kong

2021/11

A robust ensemble-deep learning model for COVID-19 diagnosis based on an integrated CT scan images database

IIE annual conference. Proceedings

Maede Maftouni

Andrew Chung Chee Law

Bo Shen

Zhenyu James Kong Grado

Yangze Zhou

...

2021

See List of Professors in Andrew Chung Chee Law University(Virginia Polytechnic Institute and State University)

Co-Authors

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