Christopher R. Laughman
- Phone: 617-621-7545
- Email:
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Position:
Research / Technical Staff
Senior Principal Research Scientist, Senior Team Leader -
Education:
Ph.D., Massachusetts Institute of Technology, 2008 -
Research Areas:
- Multi-Physical Modeling
- Optimization
- Data Analytics
- Control
- Machine Learning
- Dynamical Systems
- Human-Computer Interaction
External Links:
Chris' Quick Links
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Biography
Christopher's interests lie in the intersection of the modeling of physical systems and the experimental construction and testing of these systems, including simulation, numerical methods, and fault detection. He has worked on a variety of multi-physical systems, such as thermo-fluid systems and electromechanical energy conversion systems.
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Internships with Chris
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MS1851: Dynamic Modeling and Control for Grid-Interactive Buildings
MERL is looking for a highly motivated and qualified candidate to work on modeling for smart sustainable buildings. The ideal candidate will have a strong understanding of modeling renewable energy sources, grid-interactive buildings, occupant behavior, and dynamical systems with expertise demonstrated via, e.g., peer-reviewed publications. Hands-on programming experience with Modelica is preferred. The minimum duration of the internship is 12 weeks; start time is flexible. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.
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MERL Publications
- , "Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components", AAAI 2022 Workshop on AI based Design and Manufacturing, March 2022.BibTeX TR2022-034 PDF
- @inproceedings{Anantharaman2022mar,
- author = {Anantharaman, Ranjan and Abdelrahim, Anas and Martinuzzi, Francesco and Yalburgi, Sharan and Saba, Elliot and Fischer, Keno and Hertz, Glen and de Vos, Pepijn and Laughman, Christopher R. and Ma, Yingbo and Shah, Viral and Edelman, Alan and Rackauckas, Chris},
- title = {Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components},
- booktitle = {AAAI 2022 Workshop on AI based Design and Manufacturing},
- year = 2022,
- month = mar,
- url = {https://www.merl.com/publications/TR2022-034}
- }
- , "Scalable Bayesian Optimization for Parameter Estimation of Coupled Building and HVAC Dynamics", Energy and Buildings, DOI: 10.1016/j.enbuild.2021.111460, Vol. 253, pp. 111460, March 2022.BibTeX TR2022-030 PDF
- @article{Chakrabarty2022mar2,
- author = {Chakrabarty, Ankush and Maddalena, Emilio and Qiao, Hongtao and Laughman, Christopher R.},
- title = {Scalable Bayesian Optimization for Parameter Estimation of Coupled Building and HVAC Dynamics},
- journal = {Energy and Buildings},
- year = 2022,
- volume = 253,
- pages = 111460,
- month = mar,
- doi = {10.1016/j.enbuild.2021.111460},
- url = {https://www.merl.com/publications/TR2022-030}
- }
- , "Scalable Bayesian Optimization for Model Calibration: Case Study on Coupled Building and HVAC Dynamics", Energy and Buildings, DOI: 10.1016/j.enbuild.2021.111460, Vol. 253, pp. 111460, March 2022.BibTeX TR2022-030 PDF
- @article{Chakrabarty2022mar,
- author = {Chakrabarty, Ankush and Maddalena, Emilio and Qiao, Hongtao and Laughman, Christopher R.},
- title = {Scalable Bayesian Optimization for Model Calibration: Case Study on Coupled Building and HVAC Dynamics},
- journal = {Energy and Buildings},
- year = 2022,
- volume = 253,
- pages = 111460,
- month = mar,
- doi = {10.1016/j.enbuild.2021.111460},
- url = {https://www.merl.com/publications/TR2022-030}
- }
- , "Accelerating self-optimization control of refrigerant cycles with Bayesian optimization and adaptive moment estimation", Applied Thermal Engineering, DOI: 10.1016/j.applthermaleng.2021.117335, Vol. 197, pp. 117335, February 2022.BibTeX TR2022-010 PDF
- @article{Chakrabarty2022feb,
- author = {Chakrabarty, Ankush and Danielson, Claus and Bortoff, Scott A. and Laughman, Christopher R.},
- title = {Accelerating self-optimization control of refrigerant cycles with Bayesian optimization and adaptive moment estimation},
- journal = {Applied Thermal Engineering},
- year = 2022,
- volume = 197,
- pages = 117335,
- month = feb,
- doi = {10.1016/j.applthermaleng.2021.117335},
- url = {https://www.merl.com/publications/TR2022-010}
- }
- , "Meta-Learned Bayesian Optimization for Building Model Calibration using Attentive Neural Processes", Advances in Neural Information Processing Systems (NeurIPS), December 2021.BibTeX TR2021-149 PDF
- @inproceedings{Zhan2021dec,
- author = {Zhan, Sicheng and Wichern, Gordon and Laughman, Christopher R. and Chakrabarty, Ankush},
- title = {Meta-Learned Bayesian Optimization for Building Model Calibration using Attentive Neural Processes},
- booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
- year = 2021,
- month = dec,
- url = {https://www.merl.com/publications/TR2021-149}
- }
- , "Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components", AAAI 2022 Workshop on AI based Design and Manufacturing, March 2022.
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Software Downloads
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Videos
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MERL Issued Patents
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Title: "System and Method for Power Optimizing Control of Multi-Zone Heat Pumps"
Inventors: Bortoff, Scott A.; Burns, Dan J; Laughman, Christopher; Qiao, Hongtao
Patent No.: 10,895,412
Issue Date: Jan 19, 2021 -
Title: "System and Method for Controlling Refrigerant in Vapor Compression System"
Inventors: Laughman, Christopher; Qiao, Hongtao; Burns, Dan J; Bortoff, Scott A.
Patent No.: 10,830,515
Issue Date: Nov 10, 2020 -
Title: "System and Method for Thermal Comfort Control"
Inventors: Laughman, Christopher; Bortoff, Scott A.
Patent No.: 10,767,887
Issue Date: Sep 8, 2020 -
Title: "System and Method for Controlling Vapor Compression Systems"
Inventors: Burns, Dan J; Laughman, Christopher; Bortoff, Scott A.
Patent No.: 10,495,364
Issue Date: Dec 3, 2019 -
Title: "Coordinated Operation of Multiple Space-Conditioning Systems"
Inventors: Laughman, Christopher; Qiao, Hongtao; Burns, Dan J; Bortoff, Scott A.
Patent No.: 10,234,158
Issue Date: Mar 19, 2019 -
Title: "System and Method for Controlling Multi-Zone Vapor Compression Systems"
Inventors: Burns, Dan J; Di Cairano, Stefano; Bortoff, Scott A.; Laughman, Christopher
Patent No.: 10,174,957
Issue Date: Jan 8, 2019 -
Title: "System and Method for Controlling of Vapor Compression System"
Inventors: Burns, Dan J; Jain, Neera; Laughman, Christopher; Di Cairano, Stefano; Bortoff, Scott A.
Patent No.: 9,625,196
Issue Date: Apr 18, 2017 -
Title: "Method For Reconstructing 3D Scenes From 2D Images"
Inventors: Ramalingam, Srikumar; Taguchi, Yuichi; Pillai, Jaishanker K; Burns, Dan J; Laughman, Christopher
Patent No.: 9,595,134
Issue Date: Mar 14, 2017 -
Title: "System and Method for Controlling Vapor Compression Systems"
Inventors: Burns, Dan J; Laughman, Christopher; Bortoff, Scott A.
Patent No.: 9,534,820
Issue Date: Jan 3, 2017 -
Title: "System and Method for Controlling Temperature and Humidity in Multiple Spaces using Liquid Desiccant"
Inventors: Laughman, Christopher; Burns, Dan J; Bortoff, Scott A.; Waters, Richard C.
Patent No.: 9,518,765
Issue Date: Dec 13, 2016 -
Title: "Adaptive Control of Vapor Compression System"
Inventors: Burns, Dan J; Laughman, Christopher
Patent No.: 9,182,154
Issue Date: Nov 10, 2015 -
Title: "Controlling Operation of Vapor Compression System"
Inventors: Nikovski, Daniel N.; Laughman, Christopher; Burns, Dan J
Patent No.: 8,793,003
Issue Date: Jul 29, 2014 -
Title: "System and Method for Controlling Operations of Vapor Compression"
Inventors: Bortoff, Scott A.; Burns, Dan J; Laughman, Christopher
Patent No.: 8,694,131
Issue Date: Apr 8, 2014
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Title: "System and Method for Power Optimizing Control of Multi-Zone Heat Pumps"
