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:
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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Recent News & Events
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NEWS MERL researchers present 9 papers at ACC 2024 Date: July 10, 2024 - July 12, 2024
Where: Toronto, Canada
MERL Contacts: Ankush Chakrabarty; Vedang M. Deshpande; Stefano Di Cairano; Christopher R. Laughman; Arvind Raghunathan; Abraham P. Vinod; Yebin Wang; Avishai Weiss
Research Areas: Artificial Intelligence, Control, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, RoboticsBrief- MERL researchers presented 9 papers at the recently concluded American Control Conference (ACC) 2024 in Toronto, Canada. The papers covered a wide range of topics including data-driven spatial monitoring using heterogenous robots, aircraft approach management near airports, computation fluid dynamics-based motion planning for drones facing winds, trajectory planning for coordinated monitoring using a team of drones and a ground carrier vehicle, ensemble Kalman smoothing-based model predictive control for motion planning for autonomous vehicles, system identification for Lithium-ion batteries, physics-constrained deep Kalman filters for vapor compression systems, switched reference governors for constrained systems, and distributed road-map monitoring using onboard sensors.
As a sponsor of the conference, MERL maintained a booth for open discussions with researchers and students, and hosted a special session to discuss highlights of MERL research and work philosophy.
In addition, Abraham Vinod served as a panelist at the Student Networking Event at the conference. The student networking event provides an opportunity for all interested students to network with professionals working in industry, academia, and national laboratories during a structured event, and encourages their continued participation as the future leaders in the field.
- MERL researchers presented 9 papers at the recently concluded American Control Conference (ACC) 2024 in Toronto, Canada. The papers covered a wide range of topics including data-driven spatial monitoring using heterogenous robots, aircraft approach management near airports, computation fluid dynamics-based motion planning for drones facing winds, trajectory planning for coordinated monitoring using a team of drones and a ground carrier vehicle, ensemble Kalman smoothing-based model predictive control for motion planning for autonomous vehicles, system identification for Lithium-ion batteries, physics-constrained deep Kalman filters for vapor compression systems, switched reference governors for constrained systems, and distributed road-map monitoring using onboard sensors.
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NEWS MERL presents 9 papers at 2023 IFAC World Congress Date: July 9, 2023 - July 14, 2023
MERL Contacts: Scott A. Bortoff; Ankush Chakrabarty; Stefano Di Cairano; Christopher R. Laughman; Diego Romeres; Abraham P. Vinod
Research Areas: Control, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, RoboticsBrief- MERL researchers presented 9 papers and organized 2 invited/workshop sessions at the 2023 IFAC World Congress held in Yokohama, JP.
MERL's contributions covered topics including decision-making for autonomous vehicles, statistical and learning-based estimation for GNSS and energy systems, impedance control for delta robots, learning for system identification of rigid body dynamics and time-varying systems, and meta-learning for deep state-space modeling using data from similar systems. The invited session (MERL co-organizer: Ankush Chakrabarty) was on the topic of “Estimation and observer design: theory and applications” and the workshop (MERL co-organizer: Karl Berntorp) was on “Gaussian Process Learning for Systems and Control”.
- MERL researchers presented 9 papers and organized 2 invited/workshop sessions at the 2023 IFAC World Congress held in Yokohama, JP.
See All News & Events for Chris -
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Internships with Chris
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MS0098: Internship - Control and Estimation for Large=Scale Thermofluid Systems
MERL is seeking a motivated graduate student to research methods for state and parameter estimation and optimization of large-scale systems for process applications. Representative applications include large vapor-compression cycles and other multiphysical systems for energy conversion that couple thermodynamic, fluid, and electrical domains. The ideal candidate would have a solid background in control and estimation, numerical methods, and optimization; strong programming skills and experience with Julia/Python/Matlab are also expected. Knowledge of the fundamental physics of thermofluid flows (e.g., thermodynamics, heat transfer, and fluid mechanics), nonlinear dynamics, or equation-oriented languages (Modelica, gPROMS) is a plus. The expected duration of this internship is 3 months.
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MERL Publications
- "Fluid Property Functions in Polar and Parabolic Coordinates", American Modelica Conference, October 2024.BibTeX TR2024-144 PDF
- @inproceedings{Bortoff2024oct,
- author = {Bortoff, Scott A. and Laughman, Christopher R. and Deshpande, Vedang M. and Qiao, Hongtao}},
- title = {Fluid Property Functions in Polar and Parabolic Coordinates},
- booktitle = {American Modelica Conference},
- year = 2024,
- month = oct,
- url = {https://www.merl.com/publications/TR2024-144}
- }
, - "Integrating Generative Machine Learning Models and Physics-Based Models for Building Energy Simulation", American Modelica Conference, October 2024.BibTeX TR2024-140 PDF
- @inproceedings{Vanfretti2024oct,
- author = {Vanfretti, Luigi and Laughman, Christopher R. and Chakrabarty, Ankush}},
- title = {Integrating Generative Machine Learning Models and Physics-Based Models for Building Energy Simulation},
- booktitle = {American Modelica Conference},
- year = 2024,
- month = oct,
- url = {https://www.merl.com/publications/TR2024-140}
- }
, - "Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks", IEEE Conference on Control Technology and Applications (CCTA) 2024, DOI: 10.1109/CCTA60707.2024.10666585, August 2024.BibTeX TR2024-113 PDF
- @inproceedings{Chakrabarty2024aug,
- author = {Chakrabarty, Ankush and Vanfretti, Luigi and Bortoff, Scott A. and Deshpande, Vedang M. and Wang, Ye and Paulson, Joel A. and Zhan, Sicheng and Laughman, Christopher R.}},
- title = {Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks},
- booktitle = {IEEE Conference on Control Technology and Applications (CCTA) 2024},
- year = 2024,
- month = aug,
- doi = {10.1109/CCTA60707.2024.10666585},
- url = {https://www.merl.com/publications/TR2024-113}
- }
, - "Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL", Conference on Control Technology and Applications (CCTA), August 2024.BibTeX TR2024-112 PDF
- @inproceedings{Vanfretti2024aug,
- author = {{Vanfretti, Luigi and Laughman, Christopher R.}},
- title = {Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL},
- booktitle = {Conference on Control Technology and Applications (CCTA)},
- year = 2024,
- month = aug,
- url = {https://www.merl.com/publications/TR2024-112}
- }
, - "Modeling and Control of a Multi-Mode Heat Pump", IEEE Conference on Control Technology and Applications (CCTA) 2024, August 2024.BibTeX TR2024-111 PDF
- @inproceedings{Bortoff2024aug,
- author = {{Bortoff, Scott A. and Qiao, Hongtao and Laughman, Christopher R.}},
- title = {Modeling and Control of a Multi-Mode Heat Pump},
- booktitle = {IEEE Conference on Control Technology and Applications (CCTA) 2024},
- year = 2024,
- month = aug,
- url = {https://www.merl.com/publications/TR2024-111}
- }
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- "Fluid Property Functions in Polar and Parabolic Coordinates", American Modelica Conference, October 2024.
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Videos
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MERL Issued Patents
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Title: "System and Method for Calculation of Thermofluid Properties using Saturation Curve-Aligned Coordinates"
Inventors: Laughman, Christopher; Bortoff, Scott A.; Qiao, Hongtao
Patent No.: 11,739,996
Issue Date: Aug 29, 2023 -
Title: "Method and System for Circuiting in Heat Exchangers"
Inventors: Raghunathan, Arvind U; Laughman, Christopher
Patent No.: 11,704,447
Issue Date: Jul 18, 2023 -
Title: "Controlling Vapor Compression System Using Probabilistic Surrogate Model"
Inventors: Chakrabarty, Ankush; Laughman, Christopher; Bortoff, Scott A.
Patent No.: 11,573,023
Issue Date: Feb 7, 2023 -
Title: "Extremum Seeking Control with Stochastic Gradient Estimation"
Inventors: Chakrabarty, Ankush; Danielson, Claus; Bortoff, Scott A.; Laughman, Christopher
Patent No.: 11,467,544
Issue Date: Oct 11, 2022 -
Title: "System and Method for Power Optimizing Control of Multi-Zone Heat Pumps"
Inventors: Bortoff, Scott A.; Burns, Daniel 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, Daniel J; Bortoff, Scott A.
Patent No.: 10,830,515
Issue Date: Nov 10, 2020 -
Title: "System and Method for Thermal Comfort Control"
Inventors: Bortoff, Scott A.; Laughman, Christopher
Patent No.: 10,767,887
Issue Date: Sep 8, 2020 -
Title: "System and Method for Controlling Vapor Compression Systems"
Inventors: Burns, Daniel 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, Daniel 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, Daniel 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; 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; Laughman, Christopher
Patent No.: 9,595,134
Issue Date: Mar 14, 2017 -
Title: "System and Method for Controlling Vapor Compression Systems"
Inventors: Burns, Dan; 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, Daniel 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 Calculation of Thermofluid Properties using Saturation Curve-Aligned Coordinates"