Biography
Dr Zeynep Duygu Tekler is a Postdoctoral Researcher in the Department of Engineering Science at the University of Oxford. Her research focuses on occupant-centric smart building technologies and machine learning approaches for high-performance buildings. Her postdoctoral work, sponsored by the EPSRC/UKRI grant, involves developing scalable and cost-effective building technologies and implementing data-driven approaches for collecting and analyzing energy data at scale as part of the UK EDOL Programme.
Before joining Oxford, she held a Postdoctoral Research Fellow position in the Department of the Built Environment at the National University of Singapore. She earned her PhD in Engineering Product Development at the Singapore University of Technology and Design (SUTD) under the SUTD-MIT International Design Center in 2021. Prior to her PhD, she received both her MSc and BSc in Industrial Engineering from Isik University, where she received the honor of Valedictorian.
Dr Tekler’s research has been published in top-tier peer-reviewed journals, and she actively serves as a reviewer for journals including Building and Environment, Energy and Buildings, and Applied Energy. She was the recipient of the prestigious SINGA PhD scholarship and was awarded the SUTD Best Research Project Award for her patented work on an innovative occupancy-driven energy management system. She was also the winner of the SUTD 3MT Competition and the Asia-Pacific finalist in 2020.
Research Interests
- Internet of Things
- Occupancy Detection
- Thermal Comfort
- Smart Energy Management Systems
- Machine Learning
Current Projects
The EDOL is an £8.7 million UKRI-EPSRC funded program, dedicated to collecting detailed longitudinal data on household energy use and associated socio-technical variables within the UK. This five-year initiative is focused on establishing a national energy data platform, designed to facilitate the country's transition towards net-zero carbon emissions.
Research Groups
Related Academics
Publications
Data-efficient comfort modeling: Active transfer learning for predicting personal thermal comfort using limited data
Tekler ZD, Lei Y & Chong A (2024), Energy and Buildings, 319, 114507
BibTeX
@article{dataefficientco-2024/9,
title={Data-efficient comfort modeling: Active transfer learning for predicting personal thermal comfort using limited data},
author={Tekler ZD, Lei Y & Chong A},
journal={Energy and Buildings},
volume={319},
pages={114507},
publisher={Elsevier},
year = "2024"
}
Evaluating the sensitivity and robustness of occupancy models for building energy simulation during design
Ono E, Tekler ZD, Lam KP, Jin Y, Yan D et al. (2024), Building and Environment, 261, 111739
BibTeX
@article{evaluatingthese-2024/8,
title={Evaluating the sensitivity and robustness of occupancy models for building energy simulation during design},
author={Ono E, Tekler ZD, Lam KP, Jin Y, Yan D et al.},
journal={Building and Environment},
volume={261},
pages={111739},
publisher={Elsevier},
year = "2024"
}
Evaluating different levels of information on the calibration of building energy simulation models
Cheng S, Tekler ZD, Jia H, Li W & Chong A (2024), Building Simulation, 17(4), 657-676
BibTeX
@article{evaluatingdiffe-2024/4,
title={Evaluating different levels of information on the calibration of building energy simulation models},
author={Cheng S, Tekler ZD, Jia H, Li W & Chong A},
journal={Building Simulation},
volume={17},
pages={657-676},
publisher={Springer Nature},
year = "2024"
}
Experimental evaluation of thermal adaptation and transient thermal comfort in a tropical mixed-mode ventilation context
Lei Y, Tekler ZD, Zhan S, Miller C & Chong A (2024), Building and Environment, 248, 111043
BibTeX
@article{experimentaleva-2024/1,
title={Experimental evaluation of thermal adaptation and transient thermal comfort in a tropical mixed-mode ventilation context},
author={Lei Y, Tekler ZD, Zhan S, Miller C & Chong A},
journal={Building and Environment},
volume={248},
pages={111043},
publisher={Elsevier},
year = "2024"
}
Understanding the Impact of Building Characteristics on the Heat Pump Energy Consumption: A Case Study in the United Kingdom
Perelli-Rocco S, Tekler ZD & Grunewald P (2024)
BibTeX
@misc{understandingth-2024/,
title={Understanding the Impact of Building Characteristics on the Heat Pump Energy Consumption: A Case Study in the United Kingdom},
author={Perelli-Rocco S, Tekler ZD & Grunewald P},
year = "2024"
}
Evaluating the Sensitivity and Robustness of Occupancy Models for Building Energy Simulation During Design
Ono E, Tekler ZD, Lam KP, Jin Y, Yan D et al. (2024)
BibTeX
@misc{evaluatingthese-2024/,
title={Evaluating the Sensitivity and Robustness of Occupancy Models for Building Energy Simulation During Design},
author={Ono E, Tekler ZD, Lam KP, Jin Y, Yan D et al.},
year = "2024"
}
Enhancing personalised thermal comfort models with Active Learning for improved HVAC controls
Tekler ZD, Lei Y, Dai X & Chong A (2023), Journal of Physics Conference Series, 2600(13), 132004
BibTeX
@inproceedings{enhancingperson-2023/11,
title={Enhancing personalised thermal comfort models with Active Learning for improved HVAC controls},
author={Tekler ZD, Lei Y, Dai X & Chong A},
pages={132004},
year = "2023"
}
A hybrid active learning framework for personal thermal comfort models
Tekler ZD, Lei Y, Peng Y, Miller C & Chong A (2023), Building and Environment, 234
BibTeX
@article{ahybridactivele-2023/3,
title={A hybrid active learning framework for personal thermal comfort models},
author={Tekler ZD, Lei Y, Peng Y, Miller C & Chong A},
journal={Building and Environment},
volume={234},
number={110148},
publisher={Elsevier},
year = "2023"
}
Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy
Tekler ZD & Chong A (2022), Building and Environment, 226, 109689
BibTeX
@article{occupancypredic-2022/12,
title={Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy},
author={Tekler ZD & Chong A},
journal={Building and Environment},
volume={226},
pages={109689},
publisher={Elsevier},
year = "2022"
}
ROBOD, room-level occupancy and building operation dataset
Tekler ZD, Ono E, Peng Y, Zhan S, Lasternas B et al. (2022), Building Simulation, 15(12), 2127-2137
BibTeX
@article{robodroomlevelo-2022/12,
title={ROBOD, room-level occupancy and building operation dataset},
author={Tekler ZD, Ono E, Peng Y, Zhan S, Lasternas B et al.},
journal={Building Simulation},
volume={15},
pages={2127-2137},
publisher={Springer Nature},
year = "2022"
}
