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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Collaborations from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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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
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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
7 Citations (Scopus) -
Improving Gaussian Process Emulators with Boundary Information
Li, Z. & Tan, M. H. Y., 2022, Artificial Intelligence, Big Data and Data Science in Statistics. Steland, A. & Tsui, K.-L. (eds.). Springer, Cham, p. 171-192 22 p.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 12 - Chapter in an edited book (Author) › peer-review
1 Citation (Scopus) -
Multi-fidelity Gaussian process modeling with boundary information
Ye, W. & Tan, M. H. Y., Mar 2022, In: Applied Stochastic Models in Business and Industry. 38, 2, p. 216-239 24 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
1 Citation (Scopus) -
Maximum expected entropy transformed Latin hypercube designs
Sheng, C., Tan, M. H. Y. & Zou, L., Sept 2021, In: Journal of Applied Statistics. 48, 12, p. 2152–2177Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
3 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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ResU-HKIDS: Centre for System Informatics Engineering
CHAN, C. H. (Co-Investigator), CHIN, K. S. (Co-Investigator), LI, L. (Co-Investigator), LO, S. M. (Co-Investigator), LUK, K. M. (Co-Investigator), NGAN, S. C. S. (Co-Investigator), PUN, Y. B. E. (Co-Investigator), Pang, S. (Co-Investigator), TAN, M.H.-Y. (Co-Investigator), TSE, W. T. P. (Co-Investigator), XIE, M. (Co-Investigator), YUEN, K. K. R. (Co-Investigator), ZHANG, Z. (Co-Investigator) & ZHANG, Q. (Co-Investigator)
1/07/11 → …
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
Press/Media
Supervised Students
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Miss Fan ZHANG, 張帆
- Department of Data Science - P/T Research Assistant
Person: P/T Research Assistant, Doctor of Philosophy (Student)