Mitsubishi Electric Corporation announces that Dr. Shumpei Kameyama of Mitsubishi Electric’s Information Technology R&D Center (Kamakura, Japan) and Dr. Jonathan Le Roux of Mitsubishi Electric Research Laboratories, Inc. (Cambridge, MA, USA) have been awarded the title of IEEE Fellow.
IEEE, the world’s largest association of some 420,000 professionals engaged in electrical/electronic engineering and information/communication technology in 160 countries, confers fellowships annually on less than 0.1% of its voting members for outstanding contributions to technological innovation and societal progress.
Advanced aviation safety
As a researcher at Mitsubishi Electric’s Information Technology R&D Center, Dr. Kameyama pioneered fiber-based LiDAR(Light Detection And Ranging) instruments, which enable stable remote sensing of wind speed and CO2 density, by integrating Mitsubishi Electric’s proprietary fiber-based optical circuits (for connecting optical components), novel optical-control technologies, and advanced knowledge of atmospheric science. His achievements have contributed to more efficient wind-power generation, advanced aviation safety and advanced monitoring of global warming.
Dr. Kameyama’s fiber-based technology contributed to the development of a wind-sensing LiDAR and played a central role in related international standardization, resulting in a significant expansion of the global LiDAR market, especially in the fields of wind-power generation and aviation safety. As a result, the main instrument for wind sensing has shifted from low-tech anemometers (simple devices with 3 or 4 cups that rotate in the wind) to advanced remote sensors, i.e. LiDARs. Dr. Kameyama has also adapted his LiDAR technology for CO2 sensing to improve the performance of satellites used to measure greenhouse gases.
Advanced remote sensors
Dr. Le Roux’s contributions constituted a major advance in realizing a practically usable solution
Dr. Jonathan Le Roux, a researcher at Mitsubishi Electric Research Labs, has made fundamental contributions to the field of multi-speaker speech processing, especially to the areas of speech separation and multi-speaker end-to-end automatic speech recognition (ASR).
His contributions constituted a major advance in realizing a practically usable solution to the cocktail party problem, enabling machines to replicate humans’ ability to concentrate on a specific sound source, such as a certain speaker within a complex acoustic scene—a long-standing challenge in the speech signal processing community.
Signal processing community
Additionally, he has made key contributions to the measures used for training and evaluating audio source separation methods, developing several new objective functions to improve the training of deep neural networks for speech enhancement, and analyzing the impact of metrics used to evaluate the signal reconstruction quality.
Dr. Le Roux’s technical contributions have been crucial in promoting the widespread adoption of multi-speaker separation and end-to-end ASR technologies across various applications, including smart speakers, teleconferencing systems, hearables, and mobile devices.