News & Events

1,431 News items, Awards, Events and Talks related to MERL and its staff.

  •  NEWS    Mitsubishi Electric Corporation and MERL Press Release Describes New 5G GaN Power Amplifier Technology
    Date: July 14, 2020
    Where: Tokyo, Japan
    Research Areas: Communications, Electronic and Photonic Devices
    • Mitsubishi Electric Corporation announced today its developement of a new technology to realize a gallium nitride (GaN) power amplifier module for 5G base-stations that offers a combination of compact (6mm by 10mm) footprint and high power-efficiency, the latter exceeding an unprecedented rating of 43%.

      MERL and Mitsubishi Electric researchers collaborated to develop high density mounting technology and matching circuit that uses a minimum number of chip components to achieve efficient, wide-band power amplification in the 3.4-3.8GHz bands used for 5G communication.

      Please see the link below for the full Mitsubishi Electric press release text. Technical details of the new module will be presented at the IEEE International Microwave Symposium this coming August.
  •  NEWS    Jonathan Le Roux gives Plenary Lecture at the JSALT 2020 Summer Workshop
    Date: July 10, 2020
    Where: Virtual Baltimore, MD
    MERL Contact: Jonathan Le Roux
    Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
    • MERL Senior Principal Research Scientist and Speech and Audio Senior Team Leader Jonathan Le Roux was invited by the Center for Language and Speech Processing at Johns Hopkins University to give a plenary lecture at the 2020 Frederick Jelinek Memorial Summer Workshop on Speech and Language Technology (JSALT). The talk, entitled "Deep Learning for Multifarious Speech Processing: Tackling Multiple Speakers, Microphones, and Languages", presented an overview of deep learning techniques developed at MERL towards the goal of cracking the Tower of Babel version of the cocktail party problem, that is, separating and/or recognizing the speech of multiple unknown speakers speaking simultaneously in multiple languages, in both single-channel and multi-channel scenarios: from deep clustering to chimera networks, phasebook and friends, and from seamless ASR to MIMO-Speech and Transformer-based multi-speaker ASR.

      JSALT 2020 is the seventh in a series of six-week-long research workshops on Machine Learning for Speech Language and Computer Vision Technology. A continuation of the well known Johns Hopkins University summer workshops, these workshops bring together diverse "dream teams" of leading professionals, graduate students, and undergraduates, in a truly cooperative, intensive, and substantive effort to advance the state of the science. MERL researchers led such teams in the JSALT 2015 workshop, on "Far-Field Speech Enhancement and Recognition in Mismatched Settings", and the JSALT 2018 workshop, on "Multi-lingual End-to-End Speech Recognition for Incomplete Data".
  •  NEWS    MERL researchers presenting three papers at ICML 2020
    Date: July 12, 2020 - July 18, 2020
    Where: Vienna, Austria (virtual this year)
    MERL Contacts: Mouhacine Benosman; Anoop Cherian; Devesh K. Jha; Daniel N. Nikovski
    Research Areas: Artificial Intelligence, Computer Vision, Data Analytics, Dynamical Systems, Machine Learning, Optimization, Robotics
    • MERL researchers are presenting three papers at the International Conference on Machine Learning (ICML 2020), which is virtually held this year from 12-18th July. ICML is one of the top-tier conferences in machine learning with an acceptance rate of 22%. The MERL papers are:

      1) "Finite-time convergence in Continuous-Time Optimization" by Orlando Romero and Mouhacine Benosman.

      2) "Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?" by Kei Ota, Tomoaki Oiki, Devesh Jha, Toshisada Mariyama, and Daniel Nikovski.

      3) "Representation Learning Using Adversarially-Contrastive Optimal Transport" by Anoop Cherian and Shuchin Aeron.
  •  NEWS    MERL researchers presented 10 papers at American Control Conference (ACC)
    Date: July 1, 2020 - July 3, 2020
    Where: Denver, Colorado (virtual)
    MERL Contacts: Mouhacine Benosman; Karl Berntorp; Ankush Chakrabarty; Stefano Di Cairano; Saleh Nabi; Rien Quirynen; Yebin Wang; Avishai Weiss
    Research Areas: Control, Machine Learning, Optimization
    • At the American Control Conference, MERL presented 10 papers on subjects including autonomous-vehicle decision making and motion planning, nonlinear estimation for thermal-fluid models and GNSS positioning, learning-based reference governors and reference governors for railway vehicles, and fail-safe rendezvous control.
  •  NEWS    Zhong-Qiu Wang joins MERL's Speech and Audio Team
    Date: June 22, 2020
    Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
    • We are excited to announce that Dr. Zhong-Qiu Wang, who recently obtained his Ph.D. from The Ohio State University, has joined MERL's Speech and Audio Team as a Visiting Research Scientist. Zhong-Qiu brings strong expertise in microphone array processing, speech enhancement, blind source/speaker separation, and robust automatic speech recognition, for which he has developed some of the most advanced machine learning and deep learning methods.

      Prior to joining MERL, Zhong-Qiu received the B.Eng. degree in 2013 from Harbin Institute of Technology, Harbin, China, and the M.Sc. and Ph.D. degree in 2017 and 2020 from The Ohio State University, Columbus, USA, all in Computer Science. He was a summer research intern at Microsoft Research, Mitsubishi Electric Research Laboratories, and Google AI. He received a Best Student Paper Award at ICASSP 2018 for his work as an intern at MERL, and a Graduate Research Award from OSU Department of Computer Science and Engineering in 2020.
  •  AWARD    Best conference paper of IEEE PES-GM 2020
    Date: June 18, 2020
    Awarded to: Tong Huang, Hongbo Sun, K.J. Kim, Daniel Nikovski, Le Xie
    MERL Contacts: Kyeong Jin (K.J.) Kim; Daniel N. Nikovski; Hongbo Sun
    Research Areas: Data Analytics, Electric Systems, Optimization
    • A paper on A Holistic Framework for Parameter Coordination of Interconnected Microgrids Against Natural Disasters, written by Tong Huang, a former MERL intern from Texas A&M University, has been selected as one of the Best Conference Papers at the 2020 Power and Energy Society General Meeting (PES-GM). IEEE PES-GM is the flagship conference for the IEEE Power and Energy Society. The work was done in collaboration with Hongbo Sun, K. J. Kim, and Daniel Nikovski from MERL, and Tong's advisor, Prof. Le Xie from Texas A&M University.
  •  NEWS    MERL Scientists Presenting 5 Papers at IEEE International Conference on Communications (ICC) 2020
    Date: June 7, 2020 - June 11, 2020
    Where: Dublin, Ireland
    MERL Contacts: Kyeong Jin (K.J.) Kim; Toshiaki Koike-Akino; Ye Wang
    Research Areas: Communications, Machine Learning, Signal Processing, Digital Video
    • Due to COVID-19, MERL Network Intelligence Team scientists remotely presented 5 papers at the IEEE International Conference on Communications (ICC) 2020, that was scheduled to be held in Dublin Ireland from June 7-11, 2020. Topics presented include recent advances in deep learning methods for communications and new access systems. Presentation videos are also found on our YouTube channel. Our developed technologies can facilitate a great advancement in broadband virtual conferencing which is required in post-COVID-19 society.

      IEEE ICC is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers submit proposals for program sessions to be held at the annual conference. The high-quality proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.
  •  NEWS    MERL researchers presenting four papers and organizing two workshops at CVPR 2020 conference
    Date: June 14, 2020 - June 19, 2020
    MERL Contacts: Anoop Cherian; Michael J. Jones; Toshiaki Koike-Akino; Tim K. Marks; Kuan-Chuan Peng; Ye Wang
    Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    • MERL researchers are presenting four papers (two oral papers and two posters) and organizing two workshops at the IEEE/CVF Computer Vision and Pattern Recognition (CVPR 2020) conference.

      CVPR 2020 Orals with MERL authors:
      1. "Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction," by Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian
      2. "Collaborative Motion Prediction via Neural Motion Message Passing," by Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu

      CVPR 2020 Posters with MERL authors:
      3. "LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood," by Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng
      4. "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps," by Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas

      CVPR 2020 Workshops co-organized by MERL researchers:
      1. Fair, Data-Efficient and Trusted Computer Vision
      2. Deep Declarative Networks.
  •  NEWS    Diego Romeres gave an invited talk on modeling and control of physical systems at the MIT workshop "ICRAxMIT"
    Date: June 9, 2020
    Where: ICRAxMIT
    MERL Contact: Diego Romeres
    Research Areas: Artificial Intelligence, Data Analytics, Dynamical Systems, Machine Learning, Robotics
    • Diego Romeres, a Principal Research Scientist in MERL's Data Analytics group, gave an invited talk at the workshop ICRAxMIT organized at MIT. The talk briefly described a derivative-free framework that doesn't take in consideration velocities and accelerations to model and control robotic systems. The proposed approach is validated in two real robotic systems.
  •  NEWS    MERL Researcher Pu (Perry) Wang organized a special session on automotive radar sensing at IEEE SAM Workshop 2020
    Date: June 8, 2020 - June 12, 2020
    Where: Virtual Hangzhou
    MERL Contact: Pu (Perry) Wang
    Research Areas: Artificial Intelligence, Computational Sensing, Dynamical Systems, Machine Learning, Signal Processing
    • MERL researcher Pu (Perry) Wang organized a special session on June 10, 2020 titled Automotive Radar Sensing. Presentations included topics from deep waveform design, object tracking, mutual interference mitigation with their applications to high-resolution automotive imaging. The session's contributors come from both academia and industry.

      In this special session, our previous intern Yuxuan Xia (Chalmers Institute of Technology, Sweden) presented our work on extended object tracking using low-cost automotive radar sensors with a realistic measurement model. Yuxuan was also selected to be one of the six best student paper finalists at IEEE SAM 2020.
  •  NEWS    Mitsubishi Electric Research Labs Commits to Open COVID Pledge
    Date: May 28, 2020
    Where: Cambridge, MA
    MERL Contact: Anthony Vetro
    • Mitsubishi Electric Research Labs (MERL) is proud to announce our commitment to the Open COVID Pledge and makes its patents available free of charge for use in efforts to end the COVID-19 pandemic and minimize the impact of the disease. We are pleased to join other companies around the globe in applying our technology to not only help track and contain the disease, but to also develop solutions that will promote safe and healthy environments for our society going forward.

      As a global manufacturer of equipment that touches our daily lives from automotive and transportation equipment to home appliances, elevators and air conditioning systems, Mitsubishi Electric is well positioned to deploy new technical innovations to realize a safer and healthier future. In this context, the researchers at MERL are motivated to develop innovative solutions that will benefit society by leveraging our core research expertise in the areas of simulation and modelling, optimization, control, signal processing and artificial intelligence.

      The terms and conditions of MERL’s COVID-19 patent license are effective immediately. We encourage other intellectual property holders to also commit to the pledge to ensure that there are no impediments to stopping this global pandemic. Our parent company Mitsubishi Electric Corporation has committed to a similar Japan-based IP Open Access Declaration Against COVID-19.
  •  TALK    A Prospect in Wireless Connectivity Beyond 5G: Heterogeneity, Learning, Caution, and New Opportunities
    Date & Time: Thursday, May 7, 2020; 11:00 AM
    Speaker: Prof. Petar Popovski, Aalborg University, Denmark
    MERL Host: Toshiaki Koike-Akino
    Research Areas: Artificial Intelligence, Communications, Machine Learning, Signal Processing, Information Security
    • The wireless landscape evolves towards supporting a large population of connections for humans and machines with very diverse features and requirements. Perhaps the main motivation of 5G wireless systems is its flexibility to support heterogeneous connectivity requirements: enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communications (URLLC). However, this classification is rather limited and is currently undergoing a revision within the research community. The first part of this talk will discuss how this heterogeneity can be revised and which opportunities it opens with respect to spectrum usage. The second part of the talk will deal with performance guarantees of wireless services and, specifically, ultra-reliable communication and outline the importance of machine learning in that context. The final part of the talk will provide a broader view on the evolution of wireless connectivity, including aspects that are implied by the resistance to the deployment of 5G, but also the new opportunities that can transform the way we build and utilize connected systems.
  •  TALK    Universal Differential Equations for Scientific Machine Learning
    Date & Time: Thursday, May 7, 2020; 12:00 PM
    Speaker: Christopher Rackauckas, MIT
    MERL Host: Christopher R. Laughman
    Research Areas: Machine Learning, Multi-Physical Modeling, Optimization
    • In the context of science, the well-known adage "a picture is worth a thousand words" might well be "a model is worth a thousand datasets." Scientific models, such as Newtonian physics or biological gene regulatory networks, are human-driven simplifications of complex phenomena that serve as surrogates for the countless experiments that validated the models. Recently, machine learning has been able to overcome the inaccuracies of approximate modeling by directly learning the entire set of nonlinear interactions from data. However, without any predetermined structure from the scientific basis behind the problem, machine learning approaches are flexible but data-expensive, requiring large databases of homogeneous labeled training data. A central challenge is reco nciling data that is at odds with simplified models without requiring "big data". In this talk we discuss a new methodology, universal differential equations (UDEs), which augment scientific models with machine-learnable structures for scientifically-based learning. We show how UDEs can be utilized to discover previously unknown governing equations, accurately extrapolate beyond the original data, and accelerate model simulation, all in a time and data-efficient manner. This advance is coupled with open-source software that allows for training UDEs which incorporate physical constraints, delayed interactions, implicitly-defined events, and intrinsic stochasticity in the model. Our examples show how a diverse set of computationally-difficult modeling issues across scientific disciplines, from automatically discovering biological mechanisms to accelerating climate simulations by 15,000x, can be handled by training UDEs.
  •  NEWS    Stefano Di Cairano Appointed IPC Vice-Chair for the 7th IFAC Symposium on NMPC (2021)
    Date: July 7, 2021 - July 14, 2021
    Where: Bratislava, Slovakia
    MERL Contact: Stefano Di Cairano
    Research Areas: Control, Machine Learning, Optimization
    • MERL researcher Stefano Di Cairano has been appointed as Vice-Chair for Industry of the International Program Committee of the 7th IFAC Symposium on Nonlinear Model Predictive Control, which will be held in Bratislava, Slovakia, in July 2021.
      IFAC NMPC is the main symposium focused on model predictive control, theory, methods and applications, includes contributions on control, optimization, and machine learning research, and is held every 3 years.
  •  NEWS    MERL presenting 13 papers and an industry talk at ICASSP 2020
    Date: May 4, 2020 - May 8, 2020
    Where: Virtual Barcelona
    MERL Contacts: Karl Berntorp; Petros T. Boufounos; Chiori Hori; Toshiaki Koike-Akino; Jonathan Le Roux; Dehong Liu; Yanting Ma; Hassan Mansour; Philip V. Orlik; Anthony Vetro; Pu (Perry) Wang; Gordon Wichern
    Research Areas: Computational Sensing, Computer Vision, Machine Learning, Signal Processing, Speech & Audio
    • MERL researchers are presenting 13 papers at the IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which is being held virtually from May 4-8, 2020. Petros Boufounos is also presenting a talk on the Computational Sensing Revolution in Array Processing (video) in ICASSP’s Industry Track, and Siheng Chen is co-organizing and chairing a special session on a Signal-Processing View of Graph Neural Networks.

      Topics to be presented include recent advances in speech recognition, audio processing, scene understanding, computational sensing, array processing, and parameter estimation. Videos for all talks are available on MERL's YouTube channel, with corresponding links in the references below.

      This year again, MERL is a sponsor of the conference and will be participating in the Student Job Fair; please join us to learn about our internship program and career opportunities.

      ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 2000 participants each year. Originally planned to be held in Barcelona, Spain, ICASSP has moved to a fully virtual setting due to the COVID-19 crisis, with free registration for participants not covering a paper.
  •  NEWS    MERL Researcher Kyeong Jin Kim serves as a lead guest editor of IEEE Journal on Selected Topics in Signal Processing
    Date: April 29, 2020
    Where: N/A
    MERL Contact: Kyeong Jin (K.J.) Kim
    Research Areas: Communications, Optimization, Signal Processing, Information Security
    • Kyeong Jin Kim, a Senior Principal Research Scientist in the Signal Processing Group, will serve as lead guest editor for the upcoming JSTSP issue on, "Advanced Signal Processing for Local and Private 5G Networks." The issue is also being organized with the help of other researchers and investigators from leading organizations such as Memorial University, Nokia Bell Laboratories, Princeton University, Aalborg University, Jinan University, and South China University of Technology. This special issue aims to capture the latest research activities in local and private 5G networks from the signal processing perspective and is targeted for publication January 2022.
  •  NEWS    Ankush Chakrabarty appointed as an Associate Editor for CDC 2020
    Date: December 8, 2020 - December 11, 2020
    Where: IEEE Conference on Decision and Control (CDC)
    MERL Contact: Ankush Chakrabarty
    Research Areas: Control, Optimization
    • Ankush Chakrabarty, a Research Scientist in MERL's Multi-Physical Systems, will be serving as an Associate Editor at the 2020 IEEE Conference on Decision and Control (CDC).
  •  NEWS    MERL Scientists Presented 5 Papers Including 2 Invited Talks at Optical Fiber Communications Conference (OFC) 2020
    Date: March 8, 2020 - March 13, 2020
    MERL Contacts: Devesh K. Jha; Toshiaki Koike-Akino; Kieran Parsons; Ye Wang
    Research Areas: Communications, Electronic and Photonic Devices, Machine Learning, Signal Processing
    • Due to COVID-19, MERL Optical Team scientists remotely presented 5 papers including 2 invited talks at the Optical Fiber Communications Conference (OFC) 2020, that was held in San Diego from March 8-13, 2020. Topics presented include recent advances in quantum signal processing, channel coding design, nano-optic power splitter, and deep learning-based integrated photonics. In addition, Dr. Kojima gave an invited workshop talk on deep learning-based nano-photonic device optimization.

      OFC is the largest global conference and exhibition for optical communications and networking professionals. The program is comprehensive from research to marketplace, from components to systems and networks and from technical sessions to the exhibition. For over 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move the industry forward. The five-day technical conference features peer reviewed presentations and more than 180 invited speakers, the thought leaders in the industry presenting the highlights of emerging technologies. Additional technical programming throughout the week includes special symposia, special sessions, in-depth tutorials, workshops, panels and the thought-provoking rump session.
  •  NEWS    Diego Romeres appointed as an Associate Editor for IROS 2020
    Date: February 14, 2020
    Where: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems
    MERL Contact: Diego Romeres
    Research Areas: Artificial Intelligence, Data Analytics, Robotics
    • Diego Romeres, a Research Scientist in MERL's Data Analytics group, will be serving as an Associate Editor (AE) for the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020).
  •  NEWS    Dr. Benosman joins the editorial board of the IEEE Control Systems Letters (L-CSS)
    Date: February 10, 2020
    MERL Contact: Mouhacine Benosman
    Research Areas: Control, Data Analytics, Dynamical Systems
    • Dr. Benosman has been nominated as an associate editor at the IEEE Control Systems Letters (L-CSS).

      The L-CSS publishes peer-reviewed brief articles that provide a rapid and concise account of innovative ideas regarding the theory, design, and applications of all aspects of control engineering.
  •  NEWS    MERL researcher Keisuke Kojima appointed as an Associate Editor of IEEE/OSA Journal of Lightwave Technology
    Date: January 1, 2020
    Where: IEEE/OSA Journal of Lightwave Technology
    Research Areas: Communications, Electronic and Photonic Devices
    • Dr. Keisuke Kojima, Senior Principal Research Staff of MERL and Fellow of The Optical Society of America (OSA), has been appointed as Associate Editor of IEEE/OSA Journal of Lightwave Technology.

      IEEE/OSA Journal of Lightwave Technology is a semi-monthly hybrid open-access journal, co-sponsored by seven IEEE technical societies and OSA, has been publishing leading work in optical waveguide technologies and their applications, from integrated photonics to optical networks.
  •  NEWS    Arvind Raghunathan to serve on SIAG/OPT Early Career Prize committee
    Date: May 26, 2020
    Where: 2020 SIAM Conference on Optimization, Hong Kong
    MERL Contact: Arvind Raghunathan
    Research Area: Optimization
    • Arvind Raghunathan, Data Analytics, has been invited to serve on the SIAM Activity Group on Optimization Early Career Prize (SIAG/OPT Early Career Prize) committee. Instituted in 2018, the SIAG/OPT Early Career Prize is awarded every three years to an outstanding early career researcher in the field of optimization for distinguished contributions to the field in the six calendar years prior to the award year. The 2020 SIAG/OPT Early Career Prize will be awarded during the 2020 SIAM Conference on Optimization to be held in Hong Kong.

      Arvind Raghunathan will also host a mini-symposium on global optimization titled "Global Optimization of MINLP: Recent Advances". The mini-symposium will feature talks related to theoretical and algorithmic aspects of global optimization.
  •  AWARD    Best Paper Award at the IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) 2019
    Date: December 18, 2019
    Awarded to: Xuankai Chang, Wangyou Zhang, Yanmin Qian, Jonathan Le Roux, Shinji Watanabe
    MERL Contact: Jonathan Le Roux
    Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
    • MERL researcher Jonathan Le Roux and co-authors Xuankai Chang, Shinji Watanabe (Johns Hopkins University), Wangyou Zhang, and Yanmin Qian (Shanghai Jiao Tong University) won the Best Paper Award at the 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2019), for the paper "MIMO-Speech: End-to-End Multi-Channel Multi-Speaker Speech Recognition". MIMO-Speech is a fully neural end-to-end framework that can transcribe the text of multiple speakers speaking simultaneously from multi-channel input. The system is comprised of a monaural masking network, a multi-source neural beamformer, and a multi-output speech recognition model, which are jointly optimized only via an automatic speech recognition (ASR) criterion. The award was received by lead author Xuankai Chang during the conference, which was held in Sentosa, Singapore from December 14-18, 2019.
  •  NEWS    Stefano Di Cairano Appointed Inaugural Chair of IEEE CSS Technology Conference Editorial Board
    Date: December 12, 2019
    MERL Contact: Stefano Di Cairano
    Research Areas: Control, Dynamical Systems, Robotics
    • Stefano Di Cairano has been appointed inaugural chair of the IEEE CSS Technology Conference Editorial Board. In this role Stefano will coordinate the creation and maintenance of the Editorial Board, and will coordinate the editorial board activities supporting the IEEE CCTA conference series, including manuscript assignment to associate editors, monitoring of the manuscript assessment, and program finalization with the conference program chairs. Stefano will also work with the other IEEE CSS Editorial Board Chairs and IEEE CSS Leadership to ensure the quality and improve the processes of IEEE CSS publications.
  •  NEWS    MERL Researcher, Rui Ma, appointed Associate Editor, IEEE Journal-ERM
    Date: December 13, 2019
    Where: IEEE
    • Dr. Rui Ma has been appointed as Associate Editor of IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology (IEEE J-ERM).

      IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, sponsored by IEEE Microwave Theory and Techniques Society (MTT-S), Antennas and Propagation Society (APS), Engineering in Medicine and Biology Society (EMBS) and Sensor Councils (with 26 IEEE member societies), encourages the submission of manuscripts with scopes in state-of-the-art research related to electromagnetics theory, RF and Microwave techniques and integration for medical and biological applications.