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 2020

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Featured Research

Video Description: A novel neural network architecture that fuses multimodal information using a modality-dependent attention mechanism.

Understanding scenes through sensed information is a fundamental challenge for man machine interface. We aim to develop methods for learning semantic representations from multimodal information, including both visual and audio data, as the basis for intelligent communications and interface with machines. Towards this goal, we invented a modality-dependent attention mechanism for video captioning based on encoder-decoder sentence generation using recurrent neural networks (RNNs). [learn more]

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News & Events

NEWS Ankush Chakrabarty gave an invited talk at CRAN: Centre de Recherche en Automatique de Nancy, France Oct 21, 2021

Ankush Chakrabarty (RS, Multiphysical Systems Team) gave an invited talk on `Bayesian-Optimized Estimation and Control for Buildings and HVAC' at the Research Center for Automatic Control (CRAN) in the University of Lorraine in France. The talk . . . [read more]
AWARD Daniel Nikovski receives Outstanding Reviewer Award at NeurIPS'21 Oct 18, 2021

Daniel Nikovski, Group Manager of MERL's Data Analytics group, has received an Outstanding Reviewer Award from the 2021 conference on Neural Information Processing Systems (NeurIPS'21). NeurIPS is the world's premier conference on neural networks . . . [read more]
TALK Prof. Greg Ongie presents talk at MERL entitled Learning to Solve Inverse Problems in Computational Imaging: Recent Innovations Tuesday, Oct 12, 2021
Speaker: Prof. Greg Ongie, Marquette University

Deep learning is emerging as powerful tool to solve challenging inverse problems in computational imaging, including basic image restoration tasks like denoising and deblurring, as well as image reconstruction problems in medical imaging. This talk . . . [read more]
NEWS Diego Romeres appointed as Associate Editor at ICRA 2022. Sep 17, 2021 - Oct 31, 2021

Diego Romeres, a Principal Research Scientist in MERL's Data Analytics group, is serving as an Associate Editor (AE) for the IEEE International Conference on Robotics and Automation (ICRA) 2022.

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Internship Program Openings

For graduate students who are interested in pursuing an exciting internship researching and prototyping, MERL has many positions available during the summer and at other times.

VIEW INTERNSHIP OPENINGS (24)
Employment Openings

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

VIEW EMPLOYMENT OPENINGS (3)
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.