Ellie Jungmin Han is an Instructor in Architecture at the Harvard University Graduate School of Design (GSD) and a Research Assistant at the Harvard Center for Green Buildings and Cities (CGBC). She has developed several Building Performance Simulation (BPS) software to help architects with sustainable design decision-making on topics ranging from the building to urban scales of implementation. Her doctoral dissertation focused on the geometric properties of architecture and the exchangeable data format of geometries to evaluate the performance of building designs. She took artificial intelligence (AI), specifically deep learning, as her primary methodology for advancing the feasibility of BPS software. As a Research Assistant at CGBC, she has been developing different AI models for estimating indoor airflow, localized weather, and energy loads by taking the HouseZero building.
Han holds a Bachelor of Architecture degree from Korea National University of Arts, a Master of Science in Building Performance and Diagnostics from Carnegie Mellon University (CMU), and a Maser in Design Studies with a concentration in Energy and Environments from GSD. Her primary goal is advising students who wish to apply BPS in the design decision making process and has recently served as an MDes tutor to help Medium and Technology students. She has given talks and lectures at the International Building performance Simulation Association (IBPSA) and at different institutions across the USA and South Korea. In addition to her academic engagements, her journal and conference papers on BPS and AI have been published in Building and Environment, Building Simulation, International Journal of Sustainable Development and Planning, Energies and presented at IBPSA conferences (2018-2020). She also actively serves as a peer reviewer for several international journals.