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.

More detail about MERL is available in our most recent annual report: MERL Annual Report 2021

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Featured Research

Speech & Audio: Audio source separation, recognition, and understanding.

Our current research focuses on application of machine learning to estimation and inference problems in speech and audio processing. Topics include end-to-end speech recognition and enhancement, acoustic modeling and analysis, statistical dialog systems, as well as natural language understanding and adaptive multimodal interfaces. [learn more]

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MERL Seminar Series

TALK [MERL Seminar Series 2022] Prof. Chuang Gan presents talk titled Learning to Perceive Physical Scenes from Multi-Sensory DataDate of TALK: Tuesday, Sep 6, 2022
Speaker: Chuang Gan, UMass Amherst & MIT-IBM Watson AI Lab

Human sensory perception of the physical world is rich and multimodal and can flexibly integrate input from all five sensory modalities -- vision, touch, smell, hearing, and taste. However, in AI, attention has primarily focused on visual . . . [read more]
TALK [MERL Seminar Series 2022] Prof. Michael Posa presents talk titled Hybrid robotics and implicit learningDate of TALK: Tuesday, May 3, 2022
Speaker: Michael Posa, University of Pennsylvania

Machine learning has shown incredible promise in robotics, with some notable recent demonstrations in manipulation and sim2real transfer. These results, however, require either an accurate a priori model (for simulation) or a large amount of data. . . . [read more]

Learn more about MERL Seminar Series

News & Events

NEWS MERL launches Postdoctoral Research Fellow programReleased: Sep 22, 2022
Mitsubishi Electric Research Laboratories (MERL) invites qualified postdoctoral candidates to apply for the position of Postdoctoral Research Fellow. This position provides early career scientists the opportunity to work at a unique, . . . [read more]
NEWS Yebin Wang appointed as an Associate Editor for ICRA 2023.Released: Sep 21, 2022

Yebin Wang, a Senior Principal Research Scientist in MERL's Electric Machines and Devices, is serving as an Associate Editor for the IEEE International Conference on Robotics and Automation (ICRA) 2023.

As the flagship . . . [read more]
NEWS Anantaram Varatharajan named one of the star reviewers for 2021 by the Editorial Board of the IEEE Transactions on Energy ConversionReleased: Sep 21, 2022

The Star Reviewers are recognized by the Editorial Board as the individuals who have consistently provided rigorous quality reviews in a timely fashion and on multiple occasions within a given year.

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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 (1)
Postdoctoral Reseearch 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.