Clayton Miller

About Clayton Miller

Clayton Miller, With an exceptional h-index of 28 and a recent h-index of 28 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of data science, human-building interaction, intelligent environments, building performance.

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

Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight

Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas

International comparison of weather and emission predictive building control

Interpretable domain-informed and domain-agnostic features for supervised and unsupervised learning on building energy demand data

Experimental evaluation of thermal adaptation and transient thermal comfort in a tropical mixed-mode ventilation context

A data-driven agent-based model of occupants’ thermal comfort behaviors for the planning of district-scale flexible work arrangements

Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation

Creating synthetic energy meter data using conditional diffusion and building metadata

Clayton Miller Information

University

Position

___

Citations(all)

2725

Citations(since 2020)

2464

Cited By

762

hIndex(all)

28

hIndex(since 2020)

28

i10Index(all)

59

i10Index(since 2020)

56

Email

University Profile Page

Google Scholar

Clayton Miller Skills & Research Interests

data science

human-building interaction

intelligent environments

building performance

Top articles of Clayton Miller

Title

Journal

Author(s)

Publication Date

Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight

Energy and Buildings

Antonio Liguori

Matias Quintana

Chun Fu

Clayton Miller

Jérôme Frisch

...

2024/5/1

Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas

Building and Environment

Vasantha Ramani

Pandarasamy Arjunan

Kameshwar Poolla

Clayton Miller

2024/2/1

International comparison of weather and emission predictive building control

Buildings

Christian Hepf

Ben Gottkehaskamp

Clayton Miller

Thomas Auer

2024/1/20

Interpretable domain-informed and domain-agnostic features for supervised and unsupervised learning on building energy demand data

Applied Energy

Ada Canaydin

Chun Fu

Attila Balint

Mohamad Khalil

Clayton Miller

...

2024/4/15

Experimental evaluation of thermal adaptation and transient thermal comfort in a tropical mixed-mode ventilation context

Building and Environment

Yue Lei

Zeynep Duygu Tekler

Sicheng Zhan

Clayton Miller

Adrian Chong

2024/1/15

A data-driven agent-based model of occupants’ thermal comfort behaviors for the planning of district-scale flexible work arrangements

Building and Environment

Martín Mosteiro-Romero

Matias Quintana

Rudi Stouffs

Clayton Miller

2024/4/9

Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation

Applied Thermal Engineering

Chun Fu

Matias Quintana

Zoltan Nagy

Clayton Miller

2024/1/5

Creating synthetic energy meter data using conditional diffusion and building metadata

arXiv preprint arXiv:2404.00525

Chun Fu

Hussain Kazmi

Matias Quintana

Clayton Miller

2024/3/31

InfraRed Investigation in Singapore (IRIS) Observatory: Urban heat island contributors and mitigators analysis using neighborhood-scale thermal imaging

Energy and Buildings

Miguel Martin

Vasantha Ramani

Clayton Miller

2024/2/5

Cohort comfort models-Using occupant’s similarity to predict personal thermal preference with less data

Building and Environment

Matias Quintana

Stefano Schiavon

Federico Tartarini

Joyce Kim

Clayton Miller

2023

Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization

Energy and Buildings

Vasantha Ramani

Miguel Martin

Pandarasamy Arjunan

Adrian Chong

Kameshwar Poolla

...

2023/5/15

BIM-to-BRICK: Using graph modeling for IoT/BMS and spatial semantic data interoperability within digital data models of buildings

arXiv preprint arXiv:2307.13197

Filippo Vittori

Chuan Fu Tan

Anna Laura Pisello

Adrian Chong

Clayton Miller

2023/7/25

How good is the advice from ChatGPT for building science? Comparison of four scenarios

Journal of Physics: Conference Series

Adam Rysanek

Zoltan Nagy

Clayton Miller

Aysegul Demir Dilsiz

2023/11/1

A dynamic urban digital twin integrating longitudinal thermal imagery for microclimate studies

Vasantha Ramani

Marcel Ignatius

Joie Lim

Filip Biljecki

Clayton Miller

2023/11/15

A hybrid active learning framework for personal thermal comfort models

Building and Environment

Zeynep Duygu Tekler

Yue Lei

Yuzhen Peng

Clayton Miller

Adrian Chong

2023/4/15

Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale

Building and Environment

Hussain Kazmi

Chun Fu

Clayton Miller

2023/7/1

Utilizing wearable technology to characterize and facilitate occupant collaborations in flexible workspaces

Journal of Physics: Conference Series

Kristi Maisha

Mario Frei

Matias Quintana

Yun Xuan Chua

Rishee Jain

...

2023/11/1

Introducing the Cool, Quiet City Competition: Predicting smartwatch-reported heat and noise with digital twin metrics

Clayton Miller

Matias Quintana

Mario Frei

Yun Xuan Chua

Chun Fu

...

2023/11/15

Highway to the comfort zone: History of the psychrometric chart

Buildings

Eric Teitelbaum

Clayton Miller

Forrest Meggers

2023/3/17

Experimental assessment of thermal and acoustics interactions on occupant comfort in mixed-mode buildings

Building and Environment

Yuzhen Peng

Nogista Antanuri

Siu-Kit Lau

Bahador Jebelli

Steve Kardinal Jusuf

...

2023/6/15

See List of Professors in Clayton Miller University(National University of Singapore)

Co-Authors

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