News & Events

1,248 News items, Awards, Events and Talks related to MERL and its staff.




  •  NEWS   Deep Learning-Based Photonic Circuit Design in Scientific Reports
    Date: February 4, 2019
    Where: Scientific Reports, open-access journal from Nature Research
    MERL Contacts: Devesh Jha; Toshiaki Koike-Akino; Keisuke Kojima; Chungwei Lin; Kieran Parsons; Bingnan Wang
    Research Areas: Artificial Intelligence, Electronic and Photonic Devices, Machine Learning, Communications
    Brief
    • MERL researchers developed a novel design method enhanced by modern deep learning techniques for optimizing photonic integrated circuits (PIC). The developed technique employs residual deep neural networks (DNNs) to understand physics underlaying complicated lightwave propagations through nano-structured photonic devices. It was demonstrated that the trained DNN achieves excellent prediction to design power splitting nanostructures having various target power ratios. The work was published in Scientific Reports, which is an online open access journal from Nature Research, having high-impact articles in the research community.
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  •  NEWS   MERL presenting 4 papers at OFC, including an invited talk
    Date: March 3, 2019 - March 7, 2019
    Where: San Diego, CA
    MERL Contacts: Devesh Jha; Toshiaki Koike-Akino; Keisuke Kojima; Chungwei Lin; David Millar; Kieran Parsons; Bingnan Wang; Ye Wang
    Research Areas: Communications, Machine Learning, Optimization, Signal Processing, Electronic and Photonic Devices
    Brief
    • MERL researchers are presenting 4 papers at the OSA Optical Fiber Conference (OFC), which is being held in San Diego from March 3-7, 2019. Topics to be presented include recent advances in nonbinary polar codes, joint polar-coded shaping, and deep learning-based photonics circuit design. Additionally, recent work on multiset-partition distribution matching is presented as an invited talk.

      OFC is the flagship conference of the OSA, and the world's most comprehensive technical conference focused on the research advances and latest technological development in optics and photonics. The event attracts more than 10000 participants each year.
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  •  NEWS   MERL's seamless speech recognition technology featured in Mitsubishi Electric Corporation press release
    Date: February 13, 2019
    Where: Tokyo, Japan
    MERL Contacts: Bret Harsham; Takaaki Hori; Jonathan Le Roux; Niko Moritz; Yukimasa (Yuki) Nagai; Gordon Wichern
    Research Areas: Speech & Audio, Artificial Intelligence
    Brief
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  •  NEWS   Uros Kalabic spoke on reference governors at the MSU Mechanical Engineering Seminar
    Date: February 12, 2019
    Where: Michigan State University
    MERL Contacts: Scott Bortoff; Stefano Di Cairano; Abraham Goldsmith; Uroš Kalabić
    Research Areas: Control, Dynamical Systems
    Brief
    • Uros Kalabic, of MERL's Control and Dynamical Systems group, gave a talk at the Michigan State University Mechanical Engineering Seminar. The talk, entitled "Reference governors: Industrial applications and theoretical advances," covered some of the exciting research being done at MERL on reference governors and briefly described MERL's other research areas. The abstract of the talk can be found via the link below.
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  •  TALK   MERL Low-Thrust GEO Satellite Control talk at Stanford University
    Date & Time: Thursday, February 14, 2019; 1:30 -3:00 PM
    Speaker: Avishai Weiss, MERL
    MERL Hosts: Stefano Di Cairano; Uroš Kalabić; Avishai Weiss
    Research Areas: Control, Dynamical Systems
    Brief
    • Avishai Weiss from MERL's Control and Dynamical Systems group will give a talk at Stanford's Aeronautics and Astronautics department titled: "Low-Thrust GEO Satellite Station Keeping, Attitude Control, and Momentum Management via Model Predictive Control". Electric propulsion for satellites is much more fuel efficient than conventional methods. The talk will describe MERL's solution to the satellite control problems deriving from the low thrust provided by electric propulsion.
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  •  NEWS   Mouhacine Benosman co-edited a special issue on Learning-based Adaptive Control: Theory and Applications
    Date: February 4, 2019
    MERL Contact: Mouhacine Benosman
    Research Areas: Control, Data Analytics, Dynamical Systems
    Brief
    • Mouhacine Benosman is a guest editor of a special issue on Learning-based Adaptive Control: Theory and Application, recently published by the International Journal of Adaptive Control and Signal Processing. Other guest editors included Professor F.L. Lewis (University of Texas at Arlington Research Institute), Professor M. Guay (Queen's University), and Professor D. Owens (The University of Sheffield).

      The special issue presents results of current research on learning-based adaptive methods, merging together model-based and data-driven machine learning approaches.

      More information on the content of this special issue can be found at:
      https://onlinelibrary.wiley.com/toc/10991115/2019/33/2
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  •  NEWS   Turbulent flow paper selected as "Editors Suggestion" in journal Physical Review Fluids.
    Date: January 11, 2019
    Where: PHYSICAL REVIEW FLUIDS, 4, 013801 – Published 11 January 2019
    MERL Contacts: Piyush Grover; Saleh Nabi
    Research Areas: Control, Dynamical Systems
    Brief
    • The journal Physical Review Fluids has recently instituted "...a service to our readers, we are formally marking a small number of papers published in Physical Review Fluids that the editors and referees find of particular interest, importance, or clarity." The following paper with MERL authors Saleh Nabi and Piyush Grover was so honored in the January 2019 issue: "Reduced-order modeling of fully turbulent buoyancy-driven flows using the Green's function method."
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  •  AWARD   Former Intern Receives IBM Scientific Award Honorable Mention
    Date: January 16, 2019
    Awarded to: Daniel Dinis
    MERL Contact: Rui Ma
    Research Areas: Communications, Signal Processing
    Brief
    • Former MERL intern Daniel Dinis from University of Aveiro (UA), Portugal has received the 2018 IBM Scientific Award with Honorable Mention referring to the contributions on "Real-time Tunable Delta-sigma modulators for All-Digital RF Transmitters" in his Ph.D. study.

      The award-winning work includes research conducted under the supervision of Arnaldo Oliveira and José Neto Vieira, professors from the Department of Electronics and Information Technology (DETI) of the UA, as well as contributions made during Daniel's 7 month internship in 2017 at MERL.

      The ceremony for the presentation of the 28th IBM Scientific Prize took on January 16th, at the Noble Hall of the Superior Technical Institute. It was chaired by Marcelo Rebelo de Sousa, President of the Portuguese Republic.
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  •  NEWS   Mouhacine Benosman to speak at the Aerospace Engineering Department of Worcester Polytechnic Institute
    Date: February 1, 2019
    Where: WPI
    MERL Contact: Mouhacine Benosman
    Research Areas: Control, Dynamical Systems
    Brief
    • Mouhacine Benosman has been invited to give a talk at the Aerospace Engineering Department of Worcester Polytechnic Institute (WPI) on Lyapunov-based model reduction and stabilization of PDEs, with application to the Boussinesq equation. Further details of the talk can be found in the below link.
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  •  NEWS   Mitsubishi Electric Corporation and MERL Press Release Describes Future Digitally Controlled Power Amplifier
    Date: January 10, 2019
    Where: Tokyo, Japan
    MERL Contacts: Mouhacine Benosman; Rui Ma; Philip Orlik; Koon Hoo Teo
    Research Areas: Communications, Electronic and Photonic Devices, Machine Learning, Signal Processing, Electric Systems
    Brief
    • Mitsubishi Electric Corporation announced today its development of the world's first ultra-wideband digitally controlled gallium nitride (GaN) amplifier, which is compatible with a world-leading range of sub-6GHz bands focused on fifth-generation (5G) mobile communication systems. With a power efficiency rating of above 40%, the amplifier is expected to contribute to large-capacity communication and reduce the power consumption of mobile base stations.

      MERL and Mitsubishi Electric researchers collaborated to develop digital control methods for amplifiers achieving high-efficiency of 40% and above, with 110% of the fractional bandwidth over frequency range 1.4-4.8 GHz. The digital control signals are designed using a learning-function based on Maisart®.

      Please see the link below for the full Mitsubishi Electric press release text.
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  •  NEWS   Petros Boufounos is appointed 2019 IEEE Signal Processing Society Distinguished Lecturer
    Date: December 12, 2018
    MERL Contact: Petros Boufounos
    Research Areas: Computational Sensing, Signal Processing
    Brief
    • MERL's Petros Boufounos has been appointed as a member of the 2019 class of the IEEE Signal Processing Society Class of Distinguished Lecturers for the term of 1 January 2019 to 31 December 2020.

      The IEEE SPS Distinguished Lecturer (DL) Program provides a means for Chapters to have access to well-known educators and authors in the fields of signal processing to lecture at Chapter meetings. Each year, five DLs are appointed by the society. In addition to Dr. Boufounos, his year's class includes Israel Cohen (Technion - Israel Institute of Technology), Janusz Konrad (Boston University), Anna Scaglione (Arizona State University), and Rui Zhang (National University of Singapore).
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  •  AWARD   R&D100 award for Deep Learning-based Water Detector
    Date: November 16, 2018
    Awarded to: Ziming Zhang, Alan Sullivan, Hideaki Maehara, Kenji Taira, Kazuo Sugimoto
    MERL Contacts: Alan Sullivan; Ziming Zhang
    Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    Brief
    • Researchers and developers from MERL, Mitsubishi Electric and Mitsubishi Electric Engineering (MEE) have been recognized with an R&D100 award for the development of a deep learning-based water detector. Automatic detection of water levels in rivers and streams is critical for early warning of flash flooding. Existing systems require a height gauge be placed in the river or stream, something that is costly and sometimes impossible. The new deep learning-based water detector uses only images from a video camera along with 3D measurements of the river valley to determine water levels and warn of potential flooding. The system is robust to lighting and weather conditions working well during the night as well as during fog or rain. Deep learning is a relatively new technique that uses neural networks and AI that are trained from real data to perform human-level recognition tasks. This work is powered by Mitsubishi Electric's Maisart AI technology.
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  •  NEWS   MERL Control and Dynamical Systems Group presented 8 papers at IFAC NMPC conference
    Date: August 19, 2018 - August 22, 2018
    Where: IFAC NMPC, Madison, WI
    MERL Contacts: Claus Danielson; Stefano Di Cairano; Rien Quirynen
    Research Areas: Control, Dynamical Systems
    Brief
    • The 6th IFAC Conference on Nonlinear Model Predictive Control (NMPC), http://www.nmpc2018.org/, is a highly focused conference that attracts experts in this area from around the world. Members of the Control and Dynamical Systems group presented 8 papers (out of the 149 at the conference!) Stefano Di Cairano delivered one of the 7 plenary lectures entitled "Contract-Based Design of Control Architectures by Model Predictive Control."
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  •  NEWS   Elizabeth Phillips, MERL's Head of HR selected to coach at the Massachusetts Conference for Women
    Date: December 5, 2018 - December 6, 2018
    Where: Boston Convention Center
    MERL Contact: Elizabeth Phillips
    Brief
    • Elizabeth Philips, CPC, has been selected by the International Coach Federation of New England, to provide career coaching at the MA Conference for Women. This conference brings together thousands of active professionals to connect and harness the collective wisdom, experience and energy of inspirational women and men of all ages and backgrounds to help amplify the influence of women in the workplace and beyond.
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  •  NEWS   Mouhacine Benosman joins the Editorial Board of the new Wiley Journal of Advanced Control for Applications
    Date: November 1, 2018
    MERL Contact: Mouhacine Benosman
    Research Areas: Control, Data Analytics, Dynamical Systems
    Brief
    • Wiley has recently launched the Journal of Advanced Control for Applications: Engineering and Industrial Systems, which seeks original and high-quality contributions on the design of advanced control for applications. The aim is to stimulate the adoption of new and improved control design methods and provide a forum for the discussion of control application problems. Papers for the journal must include sufficient novelty in either the control design methods, the modelling and simulation techniques used, or the applications studied. MERL researcher, Mouhacine Benosman, has been invited to join the Editorial Board of this new journal.
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  •  NEWS   MERL Researchers Demonstrate Robot Learning Technology at CEATEC'18
    Date: October 15, 2018 - October 19, 2018
    Where: CEATEC'18, Makuhari Messe, Tokyo
    MERL Contacts: Devesh Jha; Daniel Nikovski; Diego Romeres; Alan Sullivan; Jeroen van Baar; William Yerazunis
    Research Areas: Artificial Intelligence, Computer Vision, Data Analytics, Robotics
    Brief
    • MERL's work on robot learning algorithms was demonstrated at CEATEC'18, Japan's largest IT and electronics exhibition and conference held annually at Makuhari Messe near Tokyo. A team of researchers from the Data Analytics Group at MERL and the Artificial Intelligence Department of the Information Technology Center (ITC) of MELCO presented an interactive demonstration of a model-based artificial intelligence algorithm that learns how to control equipment autonomously. The algorithm developed at MERL constructs models of mechanical equipment through repeated trial and error, and then learns control policies based on these models. The demonstration used a circular maze, where the objective is to drive a ball to the center of the maze by tipping and tilting the maze, a task that is difficult even for humans; approximately half of the CEATEC'18 visitors who tried to steer the ball by means of a joystick could not bring it to the center of the maze within one minute. In contrast, MERL's algorithm successfully learned how to drive the ball to the goal within ten seconds without the need for human programming. The demo was at the entrance of MELCO's booth at CEATEC'18, inviting visitors to learn more about MELCO's many other AI technologies on display, and was seen by an estimated more than 50,000 visitors over the five days of the expo.
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  •  EVENT   MERL is a Proud Sponsor of the Grace Hopper Celebration 2018!
    Date: Wednesday, September 26, 2018 - Friday, September 28, 2018
    MERL Contacts: Chiori Hori; Elizabeth Phillips
    Location: Houston, Texas
    Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    Brief
    • "MERL, in partnership with Mitsubishi Electric was a Gold Sponsor of the Grace Hopper Celebration 2018 (GHC18) held in Houston, TX on September 26-28th. Presented by AnitaB.org and the Association for Computing Machinery, this is world's largest gathering of women technologists. Chiori Hori and Elizabeth Phillips from MERL, and Yoshiyuki Umei, Jared Baker and Lien Randle from MEUS, proudly represented Mitsubishi Electric at the recruiting expo, that drew over 20,000 female technologists this year.
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  •  EVENT   Dr. Petros Boufounos is co-organizing workshop on the Intersection of Information Theory and Signal Processing
    Date: Sunday, October 28, 2018 - Friday, November 2, 2018
    MERL Contact: Petros Boufounos
    Location: Banff International Research Station (BIRS), Alberta, Canada
    Research Areas: Computational Sensing, Signal Processing
    Brief
    • Dr. Petros Boufounos, Prof. Stark Draper (U. of Toronto) and Prof. Yonina Eldar (Technion) are co-organizing a workshop on the intersection of Information Theory and Signal Processing. The 5-day workshop will take place Oct. 28 - Nov. 2 at the Banff International Research Station (BIRS) in Alberta, Canada. The workshop schedule includes invited talks from prominent researchers in the two fields, coming together from all over the world. Parts of the workshop will be streamed live through the BIRS website.
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  •  EVENT   MERL 3rd Annual Open House
    Date & Time: Thursday, November 29, 2018; 4-6pm
    MERL Contacts: Marissa Deegan; Elizabeth Phillips; Jeroen van Baar; Anthony Vetro
    Location: 201 Broadway, 8th floor, Cambridge, MA
    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
    Brief
    • Snacks, demos, science: On Thursday 11/29, Mitsubishi Electric Research Labs (MERL) will host an open house for graduate+ students interested in internships, post-docs, and research scientist positions. The event will be held from 4-6pm and will feature demos & short presentations in our main areas of research including artificial intelligence, robotics, computer vision, speech processing, optimization, machine learning, data analytics, signal processing, communications, sensing, control and dynamical systems, as well as multi-physyical modeling and electronic devices. MERL is a high impact publication-oriented research lab with very extensive internship and university collaboration programs. Most internships lead to publication; many of our interns and staff have gone on to notable careers at MERL and in academia. Come mix with our researchers, see our state of the art technologies, and learn about our research opportunities. Dress code: casual, with resumes.

      Pre-registration for the event is strongly encouraged:
      merlopenhouse.eventbrite.com

      Current internship and employment openings:
      www.merl.com/internship/openings
      www.merl.com/employment/employment

      Information about working at MERL:
      www.merl.com/employment
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  •  NEWS   MERL collaborates with MIT on heat management in compact fusion reactors
    Date: October 11, 2018
    MERL Contacts: Piyush Grover; Christopher Laughman
    Research Area: Multi-Physical Modeling
    Brief
    • A new approach to heat management in compact fusion reactors that emerged from a class at MIT, developed by graduate student Adam Kuang and 14 other MIT students, engineers from Commonwealth Fusion Systems as well as Piyush Grover and Chris Laughman from MERL, and Professor Dennis Whyte, was recently published in Fusion Engineering and Design. This solution was made possible by an innovative approach to compact fusion reactors, using high-temperature superconducting magnets. This method formed the basis for a massive new research program launched this year at MIT and the creation of an independent startup company to develop the concept. The new design, unlike that of typical fusion plants, would make it possible to open the device's internal chamber and replace critical components; this capability is essential for the newly proposed heat-draining mechanism.

      In the one-semester graduate class 22.63 (Principles of Fusion Engineering), students were divided into teams to address different aspects of the heat rejection challenge. These teams evaluated alternate concepts and subjected candidate designs to detailed calculations and simulations based, in part, on data from decades of research on research fusion devices such as MIT's Alcator C-Mod, which was retired two years ago. C-Mod scientist Brian LaBombard also shared insights on new kinds of divertors, and two engineers from MERL worked with the team as well. Several of the students continued working on the project after the class ended, ultimately leading to the solution described in this new paper.
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