Electronic and Photonic Devices
Pursuing theoretical and experimental research for next generation devices.
We explore various device technologies, material science and device architectures to dramatically improve power and RF device performance to achieve higher efficiency, high linearity and much wider frequency band. We develop novel photonic integrated circuits to improve performance and reduce cost in optical communications applications.
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Researchers
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Awards
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AWARD Toshiaki Koike-Akino elected Fellow of Optica Date: November 18, 2021
Awarded to: Toshiaki Koike-Akino
MERL Contact: Toshiaki Koike-Akino
Research Areas: Communications, Electronic and Photonic Devices, Signal ProcessingBrief- Toshiaki Koike-Akino's research activities in communications, error control coding and optical technologies at MERL have earned him election as a Fellow Member of Optica (formerly OSA), the foremost professional association in optics and photonics worldwide. Fellow membership in Optica is limited to no more than ten percent of the membership and is reserved for members who have served with distinction in the advancement of optics and photonics. Koike-Akino is one of 106 members from 24 countries in Optica’s 2022 Fellows Class, elected during the Board of Directors of Optica meeting held on 2nd of November, 2021.
“Congratulations to the 2022 Optica Fellows,” said 2021 President Connie Chang-Hasnain, University of California, Berkeley, USA. “These members exemplify what it means to be a leader in optics and photonics. Your election, by your peers, confirms the important contributions made within our field. Thank you for your dedication to Optica, and for advancing the science of light.”
Koike-Akino's elevation to Fellow is specifically “for outstanding and innovative contributions to R&D in enabling technologies for optical communications, including nonlinear equalizers, high-dimensional modulations, and FEC (Forward Error Correction),” said Meredith Smith, Director, Optica Awards and Honors Office. "Again, congratulations on joining this esteemed group of Optica members."
About Optica
Optica (formerly OSA) is dedicated to promoting the generation, application, archiving and dissemination of knowledge in optics and photonics worldwide. Founded in 1916, it is the leading organization for scientists, engineers, business professionals, students and others interested in the science of light. Optica’s renowned publications, meetings, online resources and in-person activities fuel discoveries, shape real-life applications and accelerate scientific, technical and educational achievement.
- Toshiaki Koike-Akino's research activities in communications, error control coding and optical technologies at MERL have earned him election as a Fellow Member of Optica (formerly OSA), the foremost professional association in optics and photonics worldwide. Fellow membership in Optica is limited to no more than ten percent of the membership and is reserved for members who have served with distinction in the advancement of optics and photonics. Koike-Akino is one of 106 members from 24 countries in Optica’s 2022 Fellows Class, elected during the Board of Directors of Optica meeting held on 2nd of November, 2021.
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AWARD MERL researchers presented 5 papers at the 2016 Optical Fiber Communication Conference (OFC), including one "Top Scored" paper Date: March 24, 2016
Awarded to: Toshiaki Koike-Akino, Keisuke Kojima, David S. Millar, Kieran Parsons, Tsuyoshi Yoshida, Takashi Sugihara
MERL Contacts: Toshiaki Koike-Akino; Kieran Parsons
Research Areas: Communications, Electronic and Photonic Devices, Signal ProcessingBrief- Five papers from the Optical Comms team were presented at the 2016 Optical Fiber Conference (OFC) held in Anaheim, USA in March 2016. The papers relate to enhanced modulation formats, constellation shaping, chromatic dispersion estimation, low complexity adaptive equalization and coding for coherent optical links. The top-scored paper studied optimal selection of coding and modulation sets to jointly maximize nonlinear tolerance and spectral efficiency.
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News & Events
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EVENT MERL's Virtual Open House 2022 Date & Time: Monday, December 12, 2022; 1:00pm-5:30pm ET
Location: Mitsubishi Electric Research Laboratories (MERL)/Virtual
Research Areas: Applied Physics, Artificial Intelligence, Communications, Computational Sensing, Computer Vision, Control, Data Analytics, Dynamical Systems, Electric Systems, Electronic and Photonic Devices, Machine Learning, Multi-Physical Modeling, Optimization, Robotics, Signal Processing, Speech & Audio, Digital VideoBrief- Join MERL's virtual open house on December 12th, 2022! Featuring a keynote, live sessions, research area booths, and opportunities to interact with our research team. Discover who we are and what we do, and learn about internship and employment opportunities.
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TALK [MERL Seminar Series 2022] Prof. Gianmario Pellegrino presents talk titled Design, Identification and Simulation of PM Synchronous Machines for Traction Date & Time: Friday, October 14, 2022; 11:00 AM
Speaker: Gianmario Pellegrino, Politecnico di Tornio, Italy
MERL Host: Anantaram Varatharajan
Research Areas: Electric Systems, Electronic and Photonic Devices, Multi-Physical Modeling, OptimizationAbstract
This seminar presents a comprehensive design and simulation procedure for Permanent Magnet Synchronous Machines (PMSMs) for traction application. The design of heavily saturated traction PMSMs is a multidisciplinary engineering challenge that CAD software suites struggle to grasp, whereas design equations are way too approximated for the purpose. This tutorial will present the design toolchain of SyR-e, where magnetic and structural design equations are fast-FEA corrected for an insightful initial design, later FEA calibrated with free or commercial FEA tools. One e-motor will be designed from zero referring to the specs and size of the Tesla Model 3 rear-axle e-motor. The circuital model of one motor with inverter and discrete-time control will be automatically generated, in Simulink and PLECS, with accessible torque control source code, for simulation of healthy and faulty conditions, ready for real-time implementation (e.g. HiL).
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Internships
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ST1863: Radar Perception Testbed Engineering (Undergraduate/Master Students)
MERL is seeking an undergraduate or master student engineering intern to use MERL''s millimeter radar hardware testbed for experiments and data collection, and to maintain the data preprocessing pipeline from raw data acquisition, data organization, annotation, sanitization, and document preparation. Scripting in Python/MATLAB is required. Previous experience with radio frequency (RF) testbed/evaluation kits is preferred. The duration is from September to December with a flexible start date and a part-time option.
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ST1916: Lidar Architectures & Algorithms
MERL is seeking a motivated intern to develop algorithms for novel lidar systems. The ideal candidate would be a senior PhD student with a strong foundation in at least some of the following areas: statistical signal processing, stochastic processes, estimation, sampling theory. Hands-on experience with lidar systems, lasers, photodetectors, or other optics hardware is a bonus. Strong programming skills in MATLAB or Python are essential. Publication of the results produced during our internships is expected. Duration is anticipated to be 3 months.
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Recent Publications
- , "Maximum Likelihood Surface Profilometry via Optical Coherence Tomography", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/ICIP46576.2022.9897247, September 2022, pp. 1561-1565.BibTeX TR2022-117 PDF
- @inproceedings{Rapp2022sep,
- author = {Rapp, Joshua and Mansour, Hassan and Boufounos, Petros T. and Orlik, Philip V. and Koike-Akino, Toshiaki and Parsons, Kieran},
- title = {Maximum Likelihood Surface Profilometry via Optical Coherence Tomography},
- booktitle = {IEEE International Conference on Image Processing (ICIP)},
- year = 2022,
- pages = {1561--1565},
- month = sep,
- doi = {10.1109/ICIP46576.2022.9897247},
- issn = {978-1-6654-9620-9},
- isbn = {2381-8549},
- url = {https://www.merl.com/publications/TR2022-117}
- }
- , "Deep Transfer Learning for Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO) Pasific Rim, July 2022.BibTeX TR2022-107 PDF
- @inproceedings{Kojima2022jul,
- author = {Kojima, Keisuke and Jung, Minwoo and Koike-Akino, Toshiaki and Wang, Ye and Brand, Matthew E. and Parsons, Kieran},
- title = {Deep Transfer Learning for Nanophotonic Device Design},
- booktitle = {Conference on Lasers and Electro-Optics (CLEO) Pasific Rim},
- year = 2022,
- month = jul,
- url = {https://www.merl.com/publications/TR2022-107}
- }
- , "On-Orbit Fabrication of Spacecraft Structures by Direct Solar Photopolymerization", Solid Freeform Fabrication Symposium, July 2022, pp. 1676-1686.BibTeX TR2022-104 PDF
- @inproceedings{Yerazunis2022jul,
- author = {Yerazunis, William S. and Weiss, Avishai and Radyjowski, Patryk and Cottrell, Richard},
- title = {On-Orbit Fabrication of Spacecraft Structures by Direct Solar Photopolymerization},
- booktitle = {Solid Freeform Fabrication Symposium},
- year = 2022,
- pages = {1676--1686},
- month = jul,
- url = {https://www.merl.com/publications/TR2022-104}
- }
- , "Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization", ACM/IEEE Design Automation Conference, July 2022.BibTeX TR2022-096 PDF
- @inproceedings{Cao2022jul,
- author = {Cao, Weidong and Benosman, Mouhacine and Zhang, Xuan and Ma, Rui},
- title = {Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization},
- booktitle = {ACM/IEEE Design Automation Conference},
- year = 2022,
- month = jul,
- url = {https://www.merl.com/publications/TR2022-096}
- }
- , "Trapping Phenomena in GaN HEMTs with Fe- and C-doped Buffer", Device Research Conference, June 2022.BibTeX TR2022-086 PDF
- @inproceedings{Li2022jun2,
- author = {Li, Kexin and Matsuda, Takashi and Nishimura, Kunihiko and Yagyu, Eiji and Teo, Koon Hoo and Rakheja, Shaloo},
- title = {Trapping Phenomena in GaN HEMTs with Fe- and C-doped Buffer},
- booktitle = {Device Research Conference},
- year = 2022,
- month = jun,
- url = {https://www.merl.com/publications/TR2022-086}
- }
- , "GaN Distributed RF Power Amplifier Automation Design with Deep Reinforcement Learning", International Conference on Artificial Intelligence Circuits and Systems (AICAS), June 2022.BibTeX TR2022-074 PDF
- @inproceedings{Sun2022jun,
- author = {Sun, Yuxiang and Benosman, Mouhacine and Ma, Rui},
- title = {GaN Distributed RF Power Amplifier Automation Design with Deep Reinforcement Learning},
- booktitle = {International Conference on Artificial Intelligence Circuits and Systems (AICAS)},
- year = 2022,
- month = jun,
- url = {https://www.merl.com/publications/TR2022-074}
- }
- , "Summary of IEDM Conference," Tech. Rep. TR2022-051, Mitsubishi Electric Research Laboratories, May 2022.BibTeX TR2022-051 PDF
- @techreport{Teo2022may,
- author = {Teo, Koon Hoo},
- title = {Summary of IEDM Conference},
- institution = {Mitsubishi Electric Research Laboratories},
- year = 2022,
- month = may,
- doi = {10.1109/IEDM.1997.649430},
- url = {https://www.merl.com/publications/TR2022-051}
- }
- , "Global Phase Correction Improves Metalens Efficiency", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/CLEO_QELS.2022.FM1B.3, May 2022.BibTeX TR2022-049 PDF
- @inproceedings{Zhu2022may,
- author = {Zhu, Dayu and Kojima, Keisuke and Koike-Akino, Toshiaki and Brand, Matthew E.},
- title = {Global Phase Correction Improves Metalens Efficiency},
- booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
- year = 2022,
- month = may,
- publisher = {Optica},
- doi = {10.1364/CLEO_QELS.2022.FM1B.3},
- isbn = {978-1-957171-05-0},
- url = {https://www.merl.com/publications/TR2022-049}
- }
- , "Maximum Likelihood Surface Profilometry via Optical Coherence Tomography", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/ICIP46576.2022.9897247, September 2022, pp. 1561-1565.
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Videos
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Toshiaki Koike-Akino Gives Seminar Talk at IEEE Boston Photonics
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[MERL Seminar Series Spring 2022] Analog CMOS Computing Chips for Fast and Energy-Efficient Solution of PDE Systems
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[MERL Seminar Series Spring 2022] Extreme optics design as a large-scale optimization problem
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[MERL Seminar Series 2021] Reconfigurable Intelligent Surfaces for Wireless Communications
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Application of Deep Learning for Nanophotonic Device Design (Invited)
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Machine Learning Power Amplifier
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Software Downloads
