News
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✈️ 03/2026 - Visited the Cambridge Sustainable Design Group and gave a seminar on data-centric building digital twins
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🎙️ 02/2026 - Our paper on non-invasive occupent-centric control for legacy office buildings is accepted at IAQVEC 2026
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🎙️ 02/2026 - Gave a guest lecture on revisiting MPC for HVAC control at IBPSA BOPTEST Webinar
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✈️ 02/2026 - Co-hosted Trane Technology VP and Senior Director in Innovation at MIT and discussed research in waste heat reuse and campus decarbonization
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🎙️ 01/2026 - Gave a guest lecture on the two-way interaction between AI and the built environment at MIT IAP Sustainable AI Module
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🧑💼 01/2026 - Served as workshop cochair and TPC Member for BuildSys 2026
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📃 12/2025 - Our paper on performance evaluation of physics-informed machine learning for building controls accepted at Energy and Buildings
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🎙️ 11/2025 - Presented our paper on robust and expert-agnostic digital twin calibration at ACM BuildSys 2025 in Golden, CO
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✈️ 11/2025 - Visited Prof. Liping Wang at University of Wyoming and discussed research in sustainable controlled environment agriculture
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🎙️ 11/2025 - Invited to join the panel of AI-assisted building performance simulation at Buiding and Simulation 2025 in Changsha, Hunan.
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🧑💼 09/2025 - Appointed as Youth Editorial Board Member of Building Simulation
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💰 09/2025 - Project on scalable occupant-centric control funded by MIT UROP direct funding
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🎙️ 08/2025 - Invited to join the penal of AI in the Built Environment at the UNSW-Tsinghua University Workshop in Sydney
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🎙️ 08/2025 - Presented our papers on corner cases in occupant-centric control and novel personal cooling system at IBPSA BS2025 in Brisbane, Australia
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📃 08/2025 - Our paper on deep generative networks for synthesizing realistic occupant scenarios accepted at Building Simulation
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📃 07/2025 - Our review paper on calibrating building energy simulation models accepted at Building and Environment
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📃 07/2025 - Our paper on mixed-mode ventilation and thermal adaptation accepted at Building and Environment
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💰 06/2025 - Project on scientific machine learning for buildings funded by MIT Energy Initiative UROP funding
Updates since summer 2025.