Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-4823-7539
Scopus Author ID: 54963426300
Google Scholar Profile: VQWwTr4AAAAJ
Impact
Qualifications (Brief)
BEng(UTM), MEng(NUS), PhD(Georgia Tech)
Position(s) Available
For prospective students and post docs
I am looking for two post docs and Ph.D. students in the area of uncertainty quantification, statistical modeling, and design of experiments. If interested, please send me your CV by email.
Research Interests/Areas
· Uncertainty Quantification in Computer Simulations
· Design and Analysis of Physical and Computer Experiments
· Robust Parameter Design for Product and Process Improvements
· Engineering and Industrial Statistics
· Statistical Quality Improvement
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
Dive into the research topics where Matthias Hwai-yong TAN is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations from the last five years
Recent external collaboration based on locations. Dive into details by clicking on the dots or
Research output
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A Markov chain Monte Carlo construction of space-filling Latin Hypercube Samples
El Haddad, R., Wehbe, D., Wicker, N. & Tan, M. H. Y., Sept 2026, In: Journal of Statistical Planning and Inference. 244, 10 p., 106387.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling
Li, G. (Co-first Author), Zhang, Y. (Co-first Author), Chen, X. (Co-first Author), Li, C., Wang, B., Kong, L., Wang, W., Huang, W. & Tan, M. H. Y., 3 Dec 2026, p. 163622-163643. 22 p.Research output: Conference Papers › RGC 33 - Other conference paper › peer-review
Open Access -
Computer model calibration via Bayesian optimization based on a bi-fidelity Gaussian process model for transformed sum of squared errors
Tan, M. H. Y., Ye, W., Sullivan-Fedock, J. & Gerrish, T., 8 Nov 2025, (Online published) In: IISE Transactions.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Sequential Decomposition of Multiple Seasonal Components Using Spectrum-Regularized Periodic Gaussian Process
Li, Y., Zhang, W., Tan, M. H. Y. & Chien, P., 2025, In: IEEE Transactions on Signal Processing. 73, p. 1034-1047Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
1 Link opens in a new tab Citation (Scopus) -
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input
Li, Z. & Tan, M. H. Y., 2022, In: Technometrics. 64, 3, p. 299-311 13 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
9 Link opens in a new tab Citations (Scopus)
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GRF: An Improved Emulator for Bi-fidelity Computer Experiments with Ordered Monotonicity Information
TAN, M.H.-Y. (Principal Investigator / Project Coordinator)
1/01/25 → …
Project: Research
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GRF: Bayesian Optimization for Robust Parameter Design Based on Quantiles of the Loss Distribution
TAN, M.H.-Y. (Principal Investigator / Project Coordinator)
1/01/23 → …
Project: Research
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GRF: Multiobjective Robust Parameter Design with Kernel Density Estimator of Noise Distribution Based on Computer Experiments
TAN, M.H.-Y. (Principal Investigator / Project Coordinator)
1/01/20 → 13/06/24
Project: Research
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GRF: Statistical Methods for Computer Model Parameter Calibration Based on Multi-fidelity Gaussian Process Emulators
TAN, M.H.-Y. (Principal Investigator / Project Coordinator)
1/01/19 → 15/06/23
Project: Research
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GRF: A Gaussian Process Modeling Approach for Predicting the Solution of a Partial Differential Equation
TAN, M.H.-Y. (Principal Investigator / Project Coordinator)
1/01/18 → 9/06/22
Project: Research
Press/Media
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CityU shows the way in data science: CityU’s data science master degree puts graduates on the cutting edge
22/06/23
1 Media contribution
Press/Media: Press / Media
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