Simon Mak

Simon Mak

Duke University

H-index: 16

North America-United States

About Simon Mak

Simon Mak, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Duke University, specializes in the field of Bayesian Statistics, Machine Learning, Computer Experiments, Uncertainty Quantification, Computational Physics.

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

BayesFLo: Bayesian fault localization of complex software systems

Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters

Effects of multi-scale jet-medium interactions on jet substructures

Hybrid Hadronization of Jet Showers from e (++ ????^‑) to ????+ ???? with JETSCAPE

A multistage framework for studying the evolution of jets and high-pT probes in small collision systems

Multiscale evolution of heavy flavor in the QGP

A misfire-integrated Gaussian process (MInt-GP) emulator for energy-assisted compression ignition (EACI) engines with varying cetane number jet fuels

Photon-triggered jets as probes of multi-stage jet modification

Simon Mak Information

University

Position

Assistant Professor

Citations(all)

1253

Citations(since 2020)

1171

Cited By

278

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

24

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Simon Mak Skills & Research Interests

Bayesian Statistics

Machine Learning

Computer Experiments

Uncertainty Quantification

Computational Physics

Top articles of Simon Mak

BayesFLo: Bayesian fault localization of complex software systems

arXiv preprint arXiv:2403.08079

2024/3/12

Yi Ji
Yi Ji

H-Index: 11

Simon Mak
Simon Mak

H-Index: 9

Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters

arXiv preprint arXiv:2403.03816

2024/3/6

Simon Mak
Simon Mak

H-Index: 9

Effects of multi-scale jet-medium interactions on jet substructures

arXiv preprint arXiv:2307.08125

2023/7/16

Hybrid Hadronization of Jet Showers from e (++ ????^‑) to ????+ ???? with JETSCAPE

11th International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear Collisions

2024/2

Multiscale evolution of heavy flavor in the QGP

arXiv preprint arXiv:2307.09640

2023/7/18

A misfire-integrated Gaussian process (MInt-GP) emulator for energy-assisted compression ignition (EACI) engines with varying cetane number jet fuels

International Journal of Engine Research

2024/2

Photon-triggered jets as probes of multi-stage jet modification

arXiv preprint arXiv:2401.17259

2024/1/30

Measuring jet quenching with a Bayesian inference analysis of hadron and jet data by JETSCAPE

arXiv preprint arXiv:2401.04201

2024/1/8

BayesFLo: Bayesian Fault Localization for Software Testing

2024

Yi Ji
Yi Ji

H-Index: 11

Simon Mak
Simon Mak

H-Index: 9

Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression

2024

Kevin Li
Kevin Li

H-Index: 6

Simon Mak
Simon Mak

H-Index: 9

Energy balancing of covariate distributions

Journal of Causal Inference

2024/4/24

Simon Mak
Simon Mak

H-Index: 9

Inclusive jet and hadron suppression in a multistage approach

Physical Review C

2023/3/16

Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery

arXiv preprint arXiv:2302.00755

2023/2/1

Tao Tang
Tao Tang

H-Index: 31

Simon Mak
Simon Mak

H-Index: 9

Hard Jet Substructure in a Multi-stage Approach

arXiv preprint arXiv:2301.02485

2023/1/6

Sequential change-point detection for mutually exciting point processes

Technometrics

2023/1/2

Bayesian Analysis

Bayesian Analysis

2021

Correction: Physics-integrated Segmented Gaussian Process (SegGP) learning for cost-efficient training of diesel engine control system with low cetane numbers

2023

Physics-integrated Segmented Gaussian Process (SegGP) learning for cost-efficient training of diesel engine control system with low cetane numbers

2023/1/19

See List of Professors in Simon Mak University(Duke University)

Co-Authors

academic-engine