PROJECTS
SMART-DRI: Scenario Modelling and Assessment for Research Transition in Digital Research Infrastructure
PI, University of Oxford | Mar 26 – Present
- Developing data-driven green scheduling methods that minimise carbon emissions and operational costs in digital research infrastructure.
OpenBES: The Open-Source Building Energy Simulation Tool
Co-I, University of Oxford | Apr 25 – Present
- Contributing to the development of an open-source building energy simulation platform aimed at enabling early-decision making and cost-effective building interventions to support the transition to net-zero.
- Contributing to the development of low-cost all-in-one indoor air quality sensing kit for accurate thermal comfort and indoor air quality measurements.
The UK Energy Demand Observation and Laboratory (EDOL)
Member, University of Oxford | Sep 23 – Apr 25
- Contributed to the development of scalable sensing approaches for observatory & laboratories to collect high-resolution and longitudinal data of household energy demand, activities and occupancy.
- Analysed household load profiles (i.e., archetypes) based on energy demand and sociodemographics in the UK PDF
A Total Building Performance Approach to Real-time Occupant Centric Sensing and Control for Mixed Mode Ventilation in the Tropics
Member, National University of Singapore | Aug 21 – Aug 23
- Developed a hybrid active transfer learning framework for data-efficient personal thermal comfort models using limited data. [PDF]
- Developed a novel feature selection algorithm for occupancy detection using deep learning approaches to achieve minimum sensing strategy in smart buildings. [PDF]
- Conducted a comprehensive data collection effort for obtaining real-time BMS data for building operations, indoor environmental quality, outdoor weather conditions and energy consumption together with high-resolution occupancy information. [PDF]
Plug-mate: An IoT-based Occupant-driven Smart Plug Load Management System in Office Spaces
PI, Singapore University of Technology and Design, SUTD-MIT International Design Centre | Sep 17 – Aug 21
- Developed a smart plug load management system that automates the operation of different plug loads based on the occupants’ presence information. [PDF]
- Used Python to develop a Bluetooth-based indoor localisation system by deploying Raspberry Pi sensors to detect occupant presence and location using IoT and mobile sensing technologies. [PDF]
- Developed a real-time plug load identification module that performs device-type classification using machine learning techniques. [PDF]
- User testing, focus group discussions and surveys were conducted to understand perceptions on the adoption of smart energy management systems. PDF
Click the image below to watch our Plug-Mate Video!
Singapore Provisional Patent Application No: 10202101953Q , 2021
Plug-Mate: An IoT-based Occupancy-driven Smart Energy Management System for Plug Loads
Zeynep Duygu Tekler, Raymond Low, Lucienne Blessing
Geolocation-based AR Game for Climate Change Awareness and Action
Member, Singapore University of Technology and Design, SUTD-MIT International Design Centre | Aug 20 – Aug 21
A mobile game targeting children 8 to 11 years old has been developed by Singapore University of Technology and Design (SUTD) with the aim of promoting climate action and encouraging green behaviour while still providing a fun and engaging game that will educate players on what climate change and climate action is about. Utilising augmented reality, as well as geolocation function, the game is designed to provide not only an educational and engaging game to raise awareness about climate action, but to also get people to explore their environment and provide an immersive experience in which the story of the game involves the degraded world around the players. [PDF]
To check our game video, click the image below
Plug-mate Interface: A Web-based User Interface for a Smart Plug Load Management System
PI, Singapore University of Technology and Design, SUTD-MIT International Design Centre | Apr 20 – Sep 20
- Designed and developed a web-based user interface for a smart plug load management system using the Django Web Framework, HTML, CSS and Javascript.
- Integrated Dash-Plotly applications to visualise the user’s energy consumption on a smart energy dashboard.
- Integrated React applications to capture user preferred settings for different control features.
Waste Management Behavioural Framework for Singapore’s Food Manufacturing Industry
Member, A*STAR Singapore Institute of Manufacturing Technology | May 18 – Jan 19
Developed a waste management behavioral framework for Singapore’s food manufacturing industry (collaboration with A*STAR SIMTECH) [PDF]
