When simulation meets reality: model calibration and for downstream applications, Carnegie Mellon University Building Performance and Diagnostics, Mar 2026[Slides]
Decision-oriented Digital Twins for Intelligent and Sustainable Urban Energy Systems, Cambridge Sustainable Design Group, Mar 2026[Slides]
Revisiting MPC for HVAC control using BOPTEST, IBPSA BOPTEST Webinar, Feb 2026[Slides]
How AI and the Built Environment Shape Each Other, MIT IAP Sustainable AI, Jan 2026[Slides]
Data-centric scientific machine learning for urban intelligence and sustainability, University of Wyoming, Nov 2025[Slides]
AI-driven occupant-centric control in university buildings: lessons learned and carbon impacts, UNSW-Tsinghua University Workshop, Aug 2025[Slides]
Physics-integrated modeling in the era of AI: designing extrapolatable digital twins, Zhejiang University, June 2024[Slides]
Towards reliable digital twins applications in buildings: a data perspective, University of Nottingham Ningbo China, Nov 2023[Slides]
Application-oriented performance evaluation of digital twins for buildings, IBPSA Workshop 2, Sept 2023[Slides]
Digital twin for buildings: identification, calibration, and applications, Bosch Corporate Research, June 2023[Slides]
Model Predictive Control in Buildings: from Model-Centric to Data-Centric, Bosch Center for Artificial Intelligence, Nov 2022[Slides]
Digital twins and downstream applications in buildings, Inovance Technology, July 2022[Slides]
Improving Energy Flexibility with Model Predictive Control in a Tropical Net Zero Energy Office Building, Syracuse University, June 2022
Building Energy Benchmarking Based on Time-Series Smart Meter Data, Tsinghua University, Oct 2019
Peer-reviewed Conferences
Robust and expert-agnostic digital twin calibration via ensemble learning and Bayesian optimization, BuildSys 2025, Nov 2025[Slides][Paper]
Dealing with corner cases in occupant-centric control: do physics-informed models help? Building Simulation 2025, Aug 2025[Slides][Paper]
Evaluating the Practical Energy Saving Potential of a Personal Cooling System in the Tropics, Building Simulation 2025, Aug 2025[Slides][Paper]
A Virtual Testbed for Robust and Reproducible Calibration of Building Energy Simulation Models, Building Simulation 2023, Sept 2023[Slides][Paper]
Comparing model predictive control and reinforcement learning for the optimal operation of building-PV-battery systems, IAQVEC 2023, May 2023[Slides][Paper]
Reimagining Digital Twins: an Active-Learning Approach to Calibrating Models for Complex Systems, GYSS 2023, Jan 2023[Poster]
From Model-Centric to Data-Centric: A Practical MPC Implementation Framework for Buildings, BuildSys 2022, Nov 2022[Slides][Paper]
Meta-Learned Bayesian Optimization for Calibrating Building Simulation Models with Multi-Source Data, NeurIPS 2021 CCAI Workshop, Dec 2021[Slides][Paper]
Data Requirements and Performance Evaluation for Control-Oriented Models: a Case Study on Internal Heat Gain, Building Simulation 2021, Sept 2021[Slides][Paper]
A Robust Unsupervised Framework for High-Resolution Building Energy Consumption Profiling, Building Simulation 2019, Sept 2019[Slides][Paper]
A Text Mining Framework to Map BMS Data to BEM, ASIM 2018, Dec 2018[Slides]