News & Events

118 News items and Awards found.



Learn about the MERL Seminar Series.



  •  NEWS    Arvind Raghunathan's publication is Featured Article in the current issue of the INFORMS Journal on Computing
    Date: April 1, 2022
    Where: INFORMS Journal on Computing (https://pubsonline.informs.org/journal/ijoc)
    MERL Contact: Arvind Raghunathan
    Research Areas: Artificial Intelligence, Machine Learning, Optimization
    Brief
    • Arvind Raghunathan co-authored a publication titled "JANOS: An Integrated Predictive and Prescriptive Modeling Framework" which has been chosen as a Featured Article in the current issue of the INFORMS Journal on Computing. The article was co-authored with Prof. David Bergman, a collaborator of MERL and Teng Huang, a former MERL intern, among others.

      The paper describes a new software tool, JANOS, that integrates predictive modeling and discrete optimization to assist decision making. Specifically, the proposed solver takes as input user-specified pretrained predictive models and formulates optimization models directly over those predictive models by embedding them within an optimization model through linear transformations.
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  •  NEWS    Toshiaki Koike-Akino gave an invited lecture to USPTO on advanced photonics
    Date: May 4, 2022
    MERL Contact: Toshiaki Koike-Akino
    Research Areas: Artificial Intelligence, Communications, Electronic and Photonic Devices, Machine Learning, Optimization, Signal Processing
    Brief
    • Toshiaki Koike-Akino gave an invited lecture on advanced photonic devices at the United States Patent and Trademark Office (USPTO) Technology Fair on May 4, 2022. Topics of the lecture included the recent progress of applied artificial intelligence (AI) technologies for optical systems, nano-photonic devices, and quantum technology. During the 2-hour interactive online presentation, he lectured to more than 200 patent examiner participants.

      USPTO Tech Fair Organizer mentioned:
      "Thank you very much for representing Advanced Photonic Devices at this year’s Technology Center 2800 Virtual Tech Fair held May 4th, 2022. Tech Fair is an important part of the United States Patent and Trademark Office’s Patent Examiner Technical Training Program (PETTP). Having a scientifically well-trained examiner workforce and ensuring the quality, consistency, and reliability of issued patents are top priorities at the USPTO. The PETTP is designed to achieve those priorities by giving examiners direct access to technical experts who are willing to share their knowledge about prior art and industry standards for both emerging and established technologies. Experts like yourself help to maintain our high quality of patent examination by keeping examiners updated on technologies and innovations pertinent to their field of examination.
      We very much appreciate your efforts, time, and contributions."
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  •  NEWS    Rui Ma gives an Invited Talk on Digital Intensive PA/Transmitter for RF Communications Workshop at IMS2022
    Date: June 19, 2022
    MERL Contact: Rui Ma
    Research Areas: Communications, Electronic and Photonic Devices, Machine Learning
    Brief
    • MERL Researcher Rui Ma will give an invited talk titled "All Digital Transmitter with GaN Switching Mode Power Amplifiers"at a technical workshop during International Microwave Symposium (IMS)2022. This IMS workshop (WSN) invites members from academia and industry to discuss the latest development activities in the area of digital-intensive power amplifiers and transmitters for RF communications.

      In addition, Dr. Rui Ma is chairing a Technical Session(We2C) on "AI/ML on RF and mmWave Applications" at IMS2022.

      IMS is the flagship annual conference of IEEE Microwave Theory and Technology Society(MTT-S).

      Learn more here:
      Sessions
      Workshops
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  •  AWARD    Japan Telecommunications Advancement Foundation Award
    Date: March 15, 2022
    Awarded to: Yukimasa Nagai, Jianlin Guo, Philip Orlik, Takenori Sumi, Benjamin A. Rolfe and Hiroshi Mineno
    MERL Contacts: Jianlin Guo; Philip V. Orlik
    Research Areas: Communications, Machine Learning
    Brief
    • MELCO/MERL research paper “Sub-1 GHz Frequency Band Wireless Coexistence for the Internet of Things” has won the 37th Telecommunications Advancement Foundation Award (Telecom System Technology Award) in Japan. This award started in 1984, and is given to research papers and works related to information and telecommunications that have made significant contributions and achievements to the advancement, development, and standardization of information and telecommunications from technical and engineering perspectives. The award recognizes both the IEEE 802.19.3 standardization efforts and the technological advancements using reinforcement learning and robust access methodologies for wireless communication system. This year, there were 43 entries with 5 winning awards and 3 winning encouragement awards. This is the first time MELCO/MERL has received this award. Our paper has been published by IEEE Access in 2021 and authors are Yukimasa Nagai, Jianlin Guo, Philip Orlik, Takenori Sumi, Benjamin A. Rolfe and Hiroshi Mineno.
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  •  NEWS    Devesh Jha delivers invited talk at Mechanical and Aerospace Engineering Department, NYU
    Date: March 1, 2022
    Where: Online/Zoom
    MERL Contact: Devesh K. Jha
    Research Areas: Artificial Intelligence, Machine Learning, Robotics
    Brief
    • Devesh Jha, a Principal Research Scientist in MERL's Data Analytics group, gave an invited talk at the Mechanical and Aerospace Engineering Department, NYU. The title of the talk was "Robotic Manipulation in the Wild: Planning, Learning and Control through Contacts". The talk presented some of the recent work done at MERL for robotic manipulation in unstructured environments in the presence of significant uncertainty.
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  •  NEWS    MERL work on scene-aware interaction featured in IEEE Spectrum
    Date: March 1, 2022
    MERL Contacts: Anoop Cherian; Chiori Hori; Jonathan Le Roux; Tim K. Marks; Alan Sullivan; Anthony Vetro
    Research Areas: Artificial Intelligence, Computer Vision, Machine Learning, Speech & Audio
    Brief
    • MERL's research on scene-aware interaction was recently featured in an IEEE Spectrum article. The article, titled "At Last, A Self-Driving Car That Can Explain Itself" and authored by MERL Senior Principal Research Scientist Chiori Hori and MERL Director Anthony Vetro, gives an overview of MERL's efforts towards developing a system that can analyze multimodal sensing information for highly natural and intuitive interaction with humans through context-dependent generation of natural language. The technology recognizes contextual objects and events based on multimodal sensing information, such as images and video captured with cameras, audio information recorded with microphones, and localization information measured with LiDAR.

      Scene-Aware Interaction for car navigation, one target application that the article focuses on, will provide drivers with intuitive route guidance. Scene-Aware Interaction technology is expected to have wide applicability, including human-machine interfaces for in-vehicle infotainment, interaction with service robots in building and factory automation systems, systems that monitor the health and well-being of people, surveillance systems that interpret complex scenes for humans and encourage social distancing, support for touchless operation of equipment in public areas, and much more. MERL's Scene-Aware Interaction Technology had previously been featured in a Mitsubishi Electric Corporation Press Release.

      IEEE Spectrum is the flagship magazine and website of the IEEE, the world’s largest professional organization devoted to engineering and the applied sciences. IEEE Spectrum has a circulation of over 400,000 engineers worldwide, making it one of the leading science and engineering magazines.
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  •  NEWS    Jonathan Le Roux discusses MERL's audio source separation work on popular machine learning podcast
    Date: January 24, 2022
    Where: The TWIML AI Podcast
    MERL Contact: Jonathan Le Roux
    Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
    Brief
    • MERL Speech & Audio Senior Team Leader Jonathan Le Roux was featured in an extended interview on the popular TWIML AI Podcast, presenting MERL's work towards solving the "cocktail party problem". Humans have the extraordinary ability to focus on particular sounds of interest within a complex acoustic scene, such as a cocktail party. MERL's Speech & Audio Team has been at the forefront of the field's effort to develop algorithms giving machines similar abilities. Jonathan talked with host Sam Charrington about the group's decade-long journey on this topic, from early pioneering work using deep learning for speech enhancement and speech separation, to recent works on weakly-supervised separation, hierarchical sound separation, as well as the separation of real-world soundtracks into speech, music, and sound effects (aka the "cocktail fork problem").

      The TWIML AI podcast, formerly known as This Week in Machine Learning & AI, was created in 2016 and is followed by more than 10,000 subscribers on Youtube and Twitter. Jonathan's interview marks the 555th episode of the podcast.
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  •  NEWS    Toshiaki Koike-Akino Gives Seminar Talk at IEEE Boston Photonics
    Date & Time: December 9, 2021; 7pm EST
    Where: virtual
    MERL Contact: Toshiaki Koike-Akino
    Research Areas: Communications, Machine Learning, Signal Processing
    Brief
    • Toshiaki Koike-Akino (Signal Processing group, Network Intelligence Team) is giving an invited talk titled, `Evolution of Machine Learning for Photonic Research' for the Boston Photonic Chapter of the IEEE Photonic Society on December 9. The talk covers recent MERL research on machine learning for nonlinearity compensation and nanophotonic device design.
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  •  AWARD    Mitsubishi Electric US Receives a 2022 CES Innovation Award for Touchless Elevator Control Jointly Developed with MERL
    Date: November 17, 2021
    Awarded to: Elevators and Escalators Division of Mitsubishi Electric US, Inc.
    MERL Contacts: Daniel N. Nikovski; William S. Yerazunis
    Research Areas: Data Analytics, Machine Learning, Signal Processing
    Brief
    • The Elevators and Escalators Division of Mitsubishi Electric US, Inc. has been recognized as a 2022 CES® Innovation Awards honoree for its new PureRide™ Touchless Control for elevators, jointly developed with MERL. Sponsored by the Consumer Technology Association (CTA), the CES Innovation Awards is the largest and most influential technology event in the world. PureRide™ Touchless Control provides a simple, no-touch product that enables users to call an elevator and designate a destination floor by placing a hand or finger over a sensor. MERL initiated the development of PureRide™ in the first weeks of the COVID-19 pandemic by proposing the use of infra-red sensors for operating elevator call buttons, and participated actively in its rapid implementation and commercialization, resulting in a first customer installation in October of 2020.
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  •  NEWS    Keynote Speech by Dr. Rui Ma at EDICON2021
    Date: December 10, 2021
    MERL Contact: Rui Ma
    Research Areas: Electronic and Photonic Devices, Machine Learning
    Brief
    • MERL's Researcher Dr. Rui Ma is the keynote speaker for Electronic Design Innovation CON (EDICON2021) to be held in Shenzhen, China from Dec. 9-10, with a talk titled "Digitization and intelligence: unlocking the innovation of future radios". The conference brings together international researchers from academics, industry, and media distribution to share perspectives on the technology needed and being developed for the next generation of communication.
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  •  NEWS    Ankush Chakrabarty gave an invited talk at CRAN: Centre de Recherche en Automatique de Nancy, France
    Date: October 21, 2021
    Where: Université de Lorraine, France
    MERL Contact: Ankush Chakrabarty
    Research Areas: Artificial Intelligence, Control, Machine Learning, Multi-Physical Modeling, Optimization
    Brief
    • 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 presented recent MERL research on probabilistic machine learning for set-point optimization and calibration of digital twins for building energy systems.
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  •  AWARD    Daniel Nikovski receives Outstanding Reviewer Award at NeurIPS'21
    Date: October 18, 2021
    Awarded to: Daniel Nikovski
    MERL Contact: Daniel N. Nikovski
    Research Areas: Artificial Intelligence, Machine Learning
    Brief
    • 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 and related technologies.
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  •  NEWS    Anoop Cherian gave an invited talk at the Department of Computer Science at the University of Bristol, UK
    Date: September 7, 2021
    MERL Contact: Anoop Cherian
    Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    Brief
    • Anoop Cherian, a Principal Research Scientist in MERL's Computer Vision group, gave an invited virtual talk on "InSeGAN: An Unsupervised Approach to Identical Instance Segmentation" at the Visual Information Laboratory of University of Bristol, UK. The talk described a new approach to segmenting varied appearances of nearly identical 3D objects in depth images. More details of the talk can be found in the following paper https://arxiv.org/abs/2108.13865, which will be presented at the International Conference on Computer Vision (ICCV'21).
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  •  NEWS    Anthony Vetro delivers keynote on robotic manipulation at inaugural IEEE Conference on Autonomous Systems
    Date: August 12, 2021
    MERL Contact: Anthony Vetro
    Research Areas: Artificial Intelligence, Computer Vision, Control, Dynamical Systems, Machine Learning, Optimization, Robotics
    Brief
    • Anthony Vetro gave a keynote at the inaugural IEEE Conference on Autonomous Systems (ICAS), which was held virtually from August 11-13, 2021. The talk focused on challenges and recent progress in the area of robotic manipulation. The conference is sponsored by IEEE Signal Processing Society (SPS) through the SPS Autonomous Systems Initiative.

      Abstract: Human-level manipulation continues to be beyond the capabilities of today’s robotic systems. Not only do current industrial robots require significant time to program a specific task, but they lack the flexibility to generalize to other tasks and be robust to changes in the environment. While collaborative robots help to reduce programming effort and improve the user interface, they still fall short on generalization and robustness. This talk will highlight recent advances in a number of key areas to improve the manipulation capabilities of autonomous robots, including methods to accurately model the dynamics of the robot and contact forces, sensors and signal processing algorithms to provide improved perception, optimization-based decision-making and control techniques, as well as new methods of interactivity to accelerate and enhance robot learning.
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  •  NEWS    MERL researchers Diego Romeres, Devesh Jha and Siddarth Jain co-organized a workshop on Robotic Manipulation at the RSS 2021 conference
    Date: July 13, 2021
    Where: Robotics: Science and Systems
    MERL Contacts: Siddarth Jain; Devesh K. Jha; Diego Romeres
    Research Areas: Artificial Intelligence, Machine Learning, Robotics
    Brief
    • MERL researchers Diego Romeres, Devesh Jha, and Siddarth Jain together with research groups at MIT, NVIDIA, NIST, TUM, Google DeepMind, ETH Zurich, Google AI, and UMASS Lowell organized a workshop at the Robotics: Science and Systems 2021 conference. The workshop was on "Advancing Artificial Intelligence and Manipulation for Robotics: Understanding Gaps, Industry and Academic Perspectives, and Community Building". The workshop had a list of excellent speakers both from academia and industry. Recording of the talks and of the panel discussion can be found in the link below.
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  •  NEWS    MERL and Mitsubishi Electric U.S. participating in International Microwave Symposium Week 2021
    Date: June 18, 2021
    MERL Contacts: Mouhacine Benosman; Rui Ma
    Research Areas: Electronic and Photonic Devices, Machine Learning, Signal Processing
    Brief
    • During the 2021 International Microwave Symposium Week (June 20-25), Rui Ma will give an invited talk on MERL's recent power amplifiers research at an IMS Technical Workshop to be held on June 21st, titled "From Digital to Intelligent: Advancement of MISO Power Amplifiers by Machine Learning".

      IMS is the annual flagship conference of IEEE MTT-S (Microwave Theory and Techniques Society) and the centerpiece of Microwave Week. It is the largest gathering of RF/Microwave professionals in the world and combines multiple technical conferences with the biggest commercial exhibitions for the microwave industry.

      Mitsubishi Electric U.S. (MEUS) will also host an online interactive booth to showcase our latest high-frequency Semiconductor & Device products at IMS week.

      More detailed information can be found at the Mitsubishi Electric booth.
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  •  NEWS    Research on Intelligent Power Amplifier is Cover Story of Microwave Journal
    Date: April 15, 2021
    MERL Contacts: Mouhacine Benosman; Rui Ma; Koon Hoo Teo
    Research Areas: Communications, Electronic and Photonic Devices, Machine Learning
    Brief
    • The cover article in the April issue of Microwave Journal features MERL and MELCO's invited paper entitled "A New Frontier for Power Amplifiers Enabled by Machine Learning". Our recent research applying ML for optimizing operating conditions of advanced power amplifier designs is highlighted.

      Since 1958, Microwave Journal has been the leading source for information about RF and Microwave technology, design techniques, news, events and educational information. Microwave Journal reaches 50,000 qualified readers monthly with a print magazine that has a global reach.
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  •  NEWS    Ankush Chakrabarty gave an invited talk at University of Illinois at Chicago
    Date: April 9, 2021
    MERL Contact: Ankush Chakrabarty
    Research Areas: Control, Machine Learning, Multi-Physical Modeling, Optimization
    Brief
    • Ankush Chakrabarty, a Research Scientist at MERL's Multiphysical Systems (MS) Team, gave an invited talk on "Learning for Control and Estimation using Digital Twins" at the Department of Electrical and Computer Engineering Seminar Series organized at UIC. The talk proposed new learning-based control/estimation architectures that can utilize simulation data obtained from digital twins to add self-optimization and constraint-enforcement features to grey/black-box control systems.
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  •  NEWS    Invited talk at University of Leeds
    Date: April 7, 2021
    Where: Online
    MERL Contact: Devesh K. Jha
    Research Areas: Artificial Intelligence, Machine Learning, Robotics
    Brief
    • Devesh Jha, a Principal Research Scientist in MERL's Data Analytics group, gave an invited talk at the robotics seminar series at the University of Leeds. The talk presented some of the recent work done at MERL in the areas of robotic manipulation and robot learning.
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  •  NEWS    Diego Romeres gave an invited talk at the Autonomy Talks at ETH, Zurich.
    Date: February 15, 2021
    Where: Virtual
    MERL Contact: Diego Romeres
    Research Areas: Artificial Intelligence, Machine Learning, Robotics
    Brief
    • Diego Romeres, a Principal Research Scientist in MERL's Data Analytics group, gave the invited talk "Reinforcement Learning for Robotics" at the Autonomy Talks organized at ETH, Zurich. In the presentation, some directions to apply Model-based Reinforcement Learning algorithms to real-world applications are presented together with a novel MBRL algorithm called MC-PILCO. The link to the presentation is https://www.youtube.com/watch?v=wYgbgMa4j-s.
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  •  NEWS    Chiori Hori will give keynote on scene understanding via multimodal sensing at AI Electronics Symposium
    Date: February 15, 2021
    Where: The 2nd International Symposium on AI Electronics
    MERL Contact: Chiori Hori
    Research Areas: Artificial Intelligence, Computer Vision, Machine Learning, Speech & Audio
    Brief
    • Chiori Hori, a Senior Principal Researcher in MERL's Speech and Audio Team, will be a keynote speaker at the 2nd International Symposium on AI Electronics, alongside Alex Acero, Senior Director of Apple Siri, Roberto Cipolla, Professor of Information Engineering at the University of Cambridge, and Hiroshi Amano, Professor at Nagoya University and winner of the Nobel prize in Physics for his work on blue light-emitting diodes. The symposium, organized by Tohoku University, will be held online on February 15, 2021, 10am-4pm (JST).

      Chiori's talk, titled "Human Perspective Scene Understanding via Multimodal Sensing", will present MERL's work towards the development of scene-aware interaction. One important piece of technology that is still missing for human-machine interaction is natural and context-aware interaction, where machines understand their surrounding scene from the human perspective, and they can share their understanding with humans using natural language. To bridge this communications gap, MERL has been working at the intersection of research fields such as spoken dialog, audio-visual understanding, sensor signal understanding, and robotics technologies in order to build a new AI paradigm, called scene-aware interaction, that enables machines to translate their perception and understanding of a scene and respond to it using natural language to interact more effectively with humans. In this talk, the technologies will be surveyed, and an application for future car navigation will be introduced.
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  •  AWARD    Excellent Presentation Award
    Date: January 25, 2021
    Awarded to: Takenori Sumi, Yukimasa Nagai, Jianlin Guo, Philip Orlik, Tatsuya Yokoyama, Hiroshi Mineno
    MERL Contacts: Jianlin Guo; Philip V. Orlik
    Research Areas: Communications, Machine Learning, Signal Processing
    Brief
    • MELCO and MERL researchers have won "Excellent Presentation Award" at the IPSJ/CDS30 (Information Processing Society of Japan/Consumer Devices and Systems 30th conferences) held on January 25, 2021. The paper titled "Sub-1 GHz Coexistence Using Reinforcement Learning Based IEEE 802.11ah RAW Scheduling" addresses coexistence between IEEE 802.11ah and IEEE 802.15.4g systems in the Sub-1 GHz frequency bands. This paper proposes a novel method to allocate IEEE 802.11 RAW time slots using a Q-Learning technique. MERL and MELCO have been leading IEEE 802.19.3 coexistence standard development and this paper is a good candidate for future standard enhancement. The authors are Takenori Sumi, Yukimasa Nagai, Jianlin Guo, Philip Orlik, Tatsuya Yokoyama and Hiroshi Mineno.
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  •  AWARD    Best Paper - Honorable Mention Award at WACV 2021
    Date: January 6, 2021
    Awarded to: Rushil Anirudh, Suhas Lohit, Pavan Turaga
    MERL Contact: Suhas Lohit
    Research Areas: Computational Sensing, Computer Vision, Machine Learning
    Brief
    • A team of researchers from Mitsubishi Electric Research Laboratories (MERL), Lawrence Livermore National Laboratory (LLNL) and Arizona State University (ASU) received the Best Paper Honorable Mention Award at WACV 2021 for their paper "Generative Patch Priors for Practical Compressive Image Recovery".

      The paper proposes a novel model of natural images as a composition of small patches which are obtained from a deep generative network. This is unlike prior approaches where the networks attempt to model image-level distributions and are unable to generalize outside training distributions. The key idea in this paper is that learning patch-level statistics is far easier. As the authors demonstrate, this model can then be used to efficiently solve challenging inverse problems in imaging such as compressive image recovery and inpainting even from very few measurements for diverse natural scenes.
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  •  NEWS    MERL published four papers in 2020 IEEE Global Communications Conference
    Date: December 7, 2020 - December 11, 2020
    Where: Taipei, Taiwan
    MERL Contacts: Kyeong Jin (K.J.) Kim; Toshiaki Koike-Akino; Philip V. Orlik; Pu (Perry) Wang; Ye Wang
    Research Areas: Communications, Computational Sensing, Machine Learning, Signal Processing
    Brief
    • MERL researchers have published four papers in 2020 IEEE Global Communications Conference (GlobeComm). This conference is one of the two IEEE Communications Societies flagship conferences dedicated to Communications for Human and Machine Intelligence. Topics of the published papers include, transmit diversity schemes, coding for molecular networks, and location and human activity sensing via WiFi signals.
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  •  NEWS    New robotics benchmark system
    Date: November 16, 2020
    MERL Contacts: Devesh K. Jha; Daniel N. Nikovski; Diego Romeres; Alan Sullivan
    Research Areas: Artificial Intelligence, Machine Learning, Robotics
    Brief
    • MERL researchers, in collaboration with researchers from MELCO and the Department of Brain and Cognitive Science at MIT, have released simulation software Circular Maze Environment (CME). This system could be used as a new benchmark for evaluating different control and robot learning algorithms. The control objective in this system is to tip and the tilt the maze so as to drive one (or multiple) marble(s) to the innermost ring of the circular maze. Although the system is very intuitive for humans to control, it is very challenging for artificial intelligence agents to learn efficiently. It poses several challenges for both model-based as well as model-free methods, due to its non-smooth dynamics, long planning horizon, and non-linear dynamics. The released Python package provides the simulation environment for the circular maze, where movement of multiple marbles could be simulated simultaneously. The package also provides a trajectory optimization algorithm to design a model-based controller in simulation.
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