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R&D / Technology – Mitsubishi Electric Research Laboratories (MERL)


Mitsubishi Electric Research Laboratories (MERL) is the North American arm of the Corporate R&D Group and conducts application-motivated basic research and advanced development in electronics, digital communications, media processing, data analytics, spatial information processing, mechatronics and optimization technologies.

Main Research Themes

Electronics and Communications / Multimedia / Data Analytics / Spatial Analysis / Mechatronics / Algorithms


201 Broadway, Cambridge, MA 02139, U.S.A.
Phone: +1 (617) 621-7500
URL: www.merl.comOpen new window

Research Introduction

MERL is organized into six groups according to technology areas, which collaborate with each other closely to achieve groundbreaking results. It maintains active collaboration with major US universities, and makes positive contributions to international standardization. The current research groups work in the following areas.

Electronics and Communications

1) Advanced wireless and optical communications, 2) highly reliable machine-to-machine networks, 3) advanced coding/decoding, 4) adaptive signal processing, 5) smart grid technologies and standards.


Efficient acquisition, representation, processing, security, and interaction of multimedia including 1) Digital Video (video compression, image processing), 2) Speech & Audio (voice search, speech enhancement, acoustic modeling/analysis), 3) Information Security (privacy-preserving data analysis, secure signal processing), and 4) Sensing (compressive sensing, array signal processing).

Data Analytics

1) Predictive analytics (statistical machine learning, data analysis), 2) decision analytics (optimization, scheduling and control), 3) software infrastructure (distributed software systems, data stream processing).

Spatial Analysis

1) Detection, classification, and recognition based on machine learning and physical modeling, 2) 3D reconstruction, location, and inference, 3) computational photography for optimized information capture, 4) dictionary learning for image and signal processing, 5) tracking and multi-modal sensor integration.


1) Advanced control algorithms, 2) nonlinear dynamical systems, 3) system modeling and dynamic analysis, 4) mechatronics design, 5) innovative system concepts, 6) 3D adaptively sampled distance fields applications.


1) Solution methods for optimization problems involving very large numbers of variables in the areas of control, image and signal processing, communications, and inference and learning, 2) advanced font-rendering system ("Saffron").

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