Publications (probably outdated, check Google Scholar)
Baris, O., Chen, Y., Dong, G., Han, L., Kimura, T., Quan, P., Wang, R., Wang, T., Abdelzaher, T., Bergés, M., Liang, P. P., & Srivastava, M. (2025). Foundation Models for CPS-IoT: Opportunities and Challenges.
arXiv.
Mulayim, O. B., & Bergés, M. (2025). On the Impact of Simulated Occupancy Behavior Assumptions on Reinforcement Learning for HVAC Controls.
The 16th ACM International Conference on Future and Sustainable Energy Systems (ACM e-Energy 2025).
Mulayim, O. B., Fierro, G., Bergés, M., & Pritoni, M. (2025). Towards Zero-shot Question Answering in CPS-IoT: Large Language Models and Knowledge Graphs.
The 2nd International Workshop on Foundation Models for CPS-IoT (FMSys'25) (Submitted).
Mulayim, O. B., Severnini, E., & Bergés, M. (2024). Unmasking the Role of Remote Sensors in Comfort, Energy, and Demand Response.
Data-Centric Engineering.
Mulayim, O. B., & Bergés, M. (2024). Leveraging Grey Box Models for Enhanced Energy Flexibility in Centralized and Decentralized Single-Zone Multi-Node Systems.
IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids.
Quan, P., Mulayim, O. B., Han, L., Hong, D., Bergés, M., & Srivastava, M. (2024). Reimagining Time Series Foundation Models: Metadata and State-Space Model Perspectives.
NeurIPS Workshop on Time Series in the Age of Large Models.
Mulayim, O. B., Paul, L., Pritoni, M., Prakash, A. K., Sudarshan, M., & Fierro, G. (2024). Large Language Models for the Creation and Use of Semantic Ontologies in Buildings: Requirements and Challenges.
ACM BuildSys.
Mulayim, O. B., Quan, P., Han, L., Ouyang, X., Hong, D., Bergés, M., & Srivastava, M. (2024). Are Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics?
ACM BuildSys.
Mulayim, O. B., & Bergés, M. (2024). Beyond Average: Evaluating Indoor Average Temperature in Grey Box Modeling.
International High Performance Buildings Conference.
Mulayim, O. B., Qu, G., Kircher, K., & Bergés, M. (2024). Physics-Informed RL for Real-World HVAC Controls: Lessons from Imitation to Deployment.
Reinforcement Learning Journal (Submitted).
Mulayim, O. B., & Bergés, M. (2023). Unmasking the Thermal Behavior of Single-Zone Multi-Room Houses: An Empirical Study.
ACM BuildSys.