Mitsubishi Electric Research Laboratories

Applied Physics

From first-principles modeling to device designs.
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Artificial Intelligence

Making machines smarter for improved safety, efficiency and comfort.
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Communications

Wireless and optical communications.
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Computational Sensing

Utilizing computation to improve sensing capabilities.
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Computer Vision

Extracting meaning and building representations of visual objects and events in the world.
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Control

If it moves, we control it.
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Data Analytics

Learning from data for optimal decisions.
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Dynamical Systems

Exploiting nonlinearity and shaping dynamics in creative and deeply mathematical ways.
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Electric Systems

Modeling & optimization of power systems and electromagnetic machines.
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Electronic and Photonic Devices

Pursuing theoretical and experimental research for next generation devices.
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Machine Learning

Data-driven approaches to design intelligent algorithms.
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Multi-Physical Modeling

Optimal design & robust control through multi-physical modeling.
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Optimization

Efficient solutions to large-scale problems.
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Robotics

Where hardware, software and machine intelligence come together.
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Signal Processing

Acquisition and processing of information.
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Speech & Audio

Audio source separation, recognition, and understanding.
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Welcome to MERL

Mitsubishi Electric Research Laboratories (MERL) is Mitsubishi Electric Corporation's North American research organization.

Set Your Own Path - MERL Culture & Mission

MERL does application-motivated basic and applied research and advanced development in physical simulation & modeling, optimization, control, signal processing and Artificial Intelligence. We are an open lab, publishing our results, collaborating with the world-wide research community, and measuring our performance by the impact we have on Mitsubishi Electric and the world.

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Featured Research

Computational Sensing: Utilizing computation to improve sensing capabilities.

Our research in the area of computational sensing focuses on signal acquisition and design, signal modeling and reconstruction algorithms, including inverse problems, as well as array signal processing techniques. [learn more]

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MERL Seminar Series

TALK [MERL Seminar Series 2025] Andy Zou presents talk titled Red Teaming AI Agents in-the-wild: Revealing Deployment VulnerabilitiesDate of TALK: Wednesday, Mar 26, 2025
Speaker: Andy Zou, CMU & Gray Swan AI

This presentation demonstrates how red teaming uncovers critical vulnerabilities in AI agents that challenge assumptions about safe deployment. The talk discusses the risks of integrating AI into real-world applications and recommends practical . . . [read more]
TALK [MERL Seminar Series 2025] Dick den Hertog presents talk titled Optimizing the Path Towards Plastic-Free OceansDate of TALK: Tuesday, Mar 11, 2025
Speaker: Dick den Hertog, University of Amsterdam

Increasing ocean plastic pollution is irreversibly harming ecosystems and human economic activities. We partner with a nonprofit organization and use optimization to help clean up oceans from plastic faster. Specifically, we optimize the route of . . . [read more]

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News & Events

NEWS Suhas Lohit presents invited talk at Boston Symmetry Day 2025Released: Apr 17, 2025
MERL researcher Suhas Lohit was an invited speaker at Boston Symmetry Day, held at Northeastern University. Boston Symmetry Day, an annual workshop organized by researchers at MIT and Northeastern, brought together attendees interested in . . . [read more]
EVENT MERL Contributes to ICASSP 2025Date of EVENT: Sunday, Apr 6, 2025

MERL has made numerous contributions to both the organization and technical program of ICASSP 2025, which is being held in Hyderabad, India from April 6-11, 2025.

Sponsorship

MERL is proud to be a Silver Patron of . . . [read more]
NEWS Yuki Shirai appointed as an Associate Editor for IEEE Robotics and Automation Letters (RA-L).Released: Mar 14, 2025

MERL researcher, Yuki Shirai, has been appointed to the editorial board of the IEEE Robotics and Automation Letters (RA-L) as an Associate Editor.

IEEE RA-L publishes peer-reviewed articles in the areas of robotics and automation . . . [read more]

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Internship Openings

Year-round openings for graduate students interned in a research internship.

VIEW INTERNSHIP OPENINGS (23)
Employment Openings

We are always on the lookout for exceptional scientists and engineers to join MERL.

VIEW EMPLOYMENT OPENINGS (5)
Postdoctoral Research Fellow

Unique opportunity for early career scientists to pursue their own research agenda.

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Visiting Faculty

University faculty members are invited to spend part or all of their sabbaticals at MERL.

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Applied Physics

From first-principles modeling to device designs.

Artificial Intelligence

Making machines smarter for improved safety, efficiency and comfort.

Communications

Wireless and optical communications.

Computational Sensing

Utilizing computation to improve sensing capabilities.

Computer Vision

Extracting meaning and building representations of visual objects and events in the world.

Control

If it moves, we control it.

Data Analytics

Learning from data for optimal decisions.

Dynamical Systems

Exploiting nonlinearity and shaping dynamics in creative and deeply mathematical ways.

Electric Systems

Modeling & optimization of power systems and electromagnetic machines.

Electronic and Photonic Devices

Pursuing theoretical and experimental research for next generation devices.

Machine Learning

Data-driven approaches to design intelligent algorithms.

Multi-Physical Modeling

Optimal design & robust control through multi-physical modeling.

Optimization

Efficient solutions to large-scale problems.

Robotics

Where hardware, software and machine intelligence come together.

Signal Processing

Acquisition and processing of information.

Speech & Audio

Audio source separation, recognition, and understanding.

Mitsubishi Electric Research Laboratories (MERL) is Mitsubishi Electric Corporation's North American research organization.

Computational Sensing: Utilizing computation to improve sensing capabilities.

Internship Openings

Employment Openings

Postdoctoral Research Fellow

Visiting Faculty