Ozan Baris Mulayim

Joined

September 2024

Names

Ozan Baris Mulayim (Preferred)

Emails

****@andrew.cmu.edu (Confirmed)

****@lbl.gov (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

PhD student

CMU, Carnegie Mellon University (andrew.cmu.edu)

2022 – 2025

Advisors, Relations & Conflicts

No relations added

Expertise

Time Series Foundation Models

2024 – Present

Knowledge Graph Question Answering

2024 – Present

Grey Box Modeling

2022 – Present

Publications

Towards Zero-shot Question Answering in CPS-IoT: Large Language Models and Knowledge Graphs
Ozan Baris Mulayim, Mario Berges
- FMSys: Proceedings of the 2nd International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things
- Readers: Everyone
Leveraging Grey Box Models for Enhanced Energy Flexibility in Centralized and Decentralized Single-Zone Multi-Node Systems
Ozan Baris Mulayim, Mario Berges
- 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
- Readers: Everyone
Large Language Models for the Creation and Use of Semantic Ontologies in Buildings: Requirements and Challenges
Ozan Baris Mulayim, Mario Berges
- BuildSys '24: Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
- Readers: Everyone
Unmasking the thermal behavior of single-zone multi-room houses: an empirical study
Ozan Baris Mulayim, Mario Berges
- BuildSys '23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
- Readers: Everyone
Are Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics?
Ozan Baris Mulayim
- BuildSys '24: Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
- Readers: Everyone
Physics-Informed RL for HVAC Controls: Imitation to Online Fine-Tuning
Ozan Baris Mulayim, Mario Berges, Kevin J. Kircher, Guannan Qu
- CO-BUILD Poster
- Readers: Everyone
Reimagining Time Series Foundation Models: Metadata and State-Space Model Perspectives
Pengrui Quan, Ozan Baris Mulayim, Liying Han, Dezhi Hong, Mario Berges, Mani Srivastava
- NeurIPS 2024 TSALM Workshop
- Readers: Everyone

Ozan Baris Mulayim

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Towards Zero-shot Question Answering in CPS-IoT: Large Language Models and Knowledge Graphs

Leveraging Grey Box Models for Enhanced Energy Flexibility in Centralized and Decentralized Single-Zone Multi-Node Systems

Large Language Models for the Creation and Use of Semantic Ontologies in Buildings: Requirements and Challenges

Unmasking the thermal behavior of single-zone multi-room houses: an empirical study

Are Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics?

Physics-Informed RL for HVAC Controls: Imitation to Online Fine-Tuning

Reimagining Time Series Foundation Models: Metadata and State-Space Model Perspectives

Co-Authors