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CityEnerTwin: A digital twin platform for urban building energy modeling and management to support decarbonization of the built environment
CityEnerTwin: A Case Study of the University of Washington Campus
Royalty Research Fund (RRF): Link


DecarbCityTwin: A Platform for Equitable Decarbonization of the built environment
Climate Change Planning Grant: Link
Climate Change Pilot Grant: Link


An integrated data-driven framework for urban energy use modeling (UEUM) Link to publication
Developing a data-driven framework for multiscale integrated urban building and transportation energy modeling Link to publication
Hybrid data-driven and physics-based urban building energy modeling Link to publication


A framework for integrated energy and exposure to ambient pollution (iEnEx) assessment toward low-carbon, healthy, and equitable cities Link to publication
Predicting intraurban PM2. 5 concentrations using enhanced machine learning approaches and incorporating human activity patterns Link to publication




A Computational Fluid Dynamics-based Design Optimization  Tool for Carbon Capture Enclosure 
Applied Research Consortium; Research Fellow: Md Shariful Alam; Collaboration with MITHUN & Heirloom: Link





An Optimization Framework And Tool For Context-Sensitive Solar-Driven Design Using Cellular Automata (SDCA) Link to publication
SCDA: Optimization Tool for Solar-driven Design Using Cellular Automata Link to publication


Tool: Optimization Tool for Solar-driven Design Using Cellular Automata (SDCA)



Embodied energy of buildings: A review of data, methods, challenges, and research trends Link to publication
Integrated urban building energy modeling and retrofit (UBEM-R) Link to publication



Socioeconomic determinants of public health and residential building energy use in Chicago Link to publication
Urban building energy modeling via human-centered optimization Link to publication ( A web-based interactive tool for modeling human feedback on big textual data Link to publication
Covid-19 pandemic and equitable resilience within the built environment: Exploring occupancy, energy, and health disparities using smart data Link to publication is a toolkit that facilitates data-driven studies. The platform integrates a suit of tools, including machine learning, spatiotemporal mapping, simulation, and optimization. With its user-friendly input-output interface, streams workflows, automates process, and enhances efficiency. It aids designers, engineerings, and planners in making data-informed decisions leading to performance-driven and user-centric approach. Link