News & Events

1,218 News items found.



Learn about the MERL Seminar Series.



  •  NEWS    Karl Berntorp joins the Editorial Board of IEEE Transactions on Control Systems Technology
    Date: December 7, 2023
    MERL Contact: Karl Berntorp
    Research Areas: Control, Dynamical Systems
    Brief
    • Karl Berntorp has joined the Editorial Board of the IEEE Transactions on Control Systems Technology (T-CST) as an Associate Editor. The IEEE T-CST publishes peer-reviewed papers on technological advances in the design, realization, and operation of control systems, and bridges the gap between the theory and practice of control engineering.
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  •  NEWS    Ankush Chakrabarty served as Co-Chair of ACM BALANCES 2023
    Date: November 14, 2023
    Where: Istanbul, Turkey
    MERL Contact: Ankush Chakrabarty
    Research Areas: Control, Data Analytics, Machine Learning, Multi-Physical Modeling, Optimization
    Brief
    • Ankush Chakrabarty, Principal Research Scientist in the Multiphysical Systems team at MERL, served as Co-Chair at the 3rd ACM International Workshop on Big Data and Machine Learning for Smart Buildings and Cities (BALANCES'23). The workshop places spotlights on two different IEA EBC Annexes: the Annex 81 - Data-Driven Smart Buildings and Annex 82 - Energy Flexible Buildings Towards Resilient Low Carbon Energy Systems.
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  •  NEWS    MERL Researchers give a Tutorial Talk on Quantum Machine Learning for Sensing and Communications at IEEE VCC
    Date: November 28, 2023 - November 30, 2023
    Where: Virtual
    MERL Contacts: Toshiaki Koike-Akino; Pu (Perry) Wang
    Research Areas: Artificial Intelligence, Communications, Computational Sensing, Machine Learning, Signal Processing
    Brief
    • On November 28, 2023, MERL researchers Toshiaki Koike-Akino and Pu (Perry) Wang will give a 3-hour tutorial presentation at the first IEEE Virtual Conference on Communications (VCC). The talk, titled "Post-Deep Learning Era: Emerging Quantum Machine Learning for Sensing and Communications," addresses recent trends, challenges, and advances in sensing and communications. P. Wang presents use cases, industry trends, signal processing, and deep learning for Wi-Fi integrated sensing and communications (ISAC), while T. Koike-Akino discusses the future of deep learning, giving a comprehensive overview of artificial intelligence (AI) technologies, natural computing, emerging quantum AI, and their diverse applications. The tutorial is conducted virtually.

      IEEE VCC is a new fully virtual conference launched from the IEEE Communications Society, gathering researchers from academia and industry who are unable to travel but wish to present their recent scientific results and engage in conducive interactive discussions with fellow researchers working in their fields. It is designed to resolve potential hardship such as pandemic restrictions, visa issues, travel problems, or financial difficulties.
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  •  NEWS    Anoop Cherian gives a podcast interview with AI Business
    Date: September 26, 2023
    Where: Virtual
    MERL Contact: Anoop Cherian
    Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    Brief
    • Anoop Cherian, a Senior Principal Research Scientist in the Computer Vision team at MERL, gave a podcast interview with award-winning journalist, Deborah Yao. Deborah is the editor of AI Business -- a leading content platform for artificial intelligence and its applications in the real world, delivering its readers up-to-the-minute insights into how AI technologies are currently affecting the global economy and society. The podcast was based on the recent research that Anoop and his colleagues did at MERL with his collaborators at MIT; this research attempts to objectively answer the pertinent question: are current deep neural networks smarter than second graders? The podcast discusses shortcomings in the recent artificial general intelligence systems with regard to their capabilities for knowledge abstraction, learning, and generalization, which are brought out by this research.
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  •  NEWS    Invited talk given by Diego Romeres at Bentley University
    Date: November 1, 2023
    MERL Contact: Diego Romeres
    Research Areas: Artificial Intelligence, Machine Learning, Robotics
    Brief
    • Principal Research Scientist and Team Leader Diego Romeres gave an invited talk with title 'Applications of Machine Learning to Robotics' in the Machine Learning graduate course at Bentley University. The presentation focused mainly on Reinforcement Learning research applied to robotics. The audience consisted mostly of Master’s in Business Analytics (MSBA) students and students in the MBA w/ Business Analytics Concentration program.
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  •  NEWS    MERL co-organizes the 2023 Sound Demixing (SDX2023) Challenge and Workshop
    Date: January 23, 2023 - November 4, 2023
    Where: International Symposium of Music Information Retrieval (ISMR)
    MERL Contacts: Jonathan Le Roux; Gordon Wichern
    Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
    Brief
    • MERL Speech & Audio team members Gordon Wichern and Jonathan Le Roux co-organized the 2023 Sound Demixing Challenge along with researchers from Sony, Moises AI, Audioshake, and Meta.

      The SDX2023 Challenge was hosted on the AI Crowd platform and had a prize pool of $42,000 distributed to the winning teams across two tracks: Music Demixing and Cinematic Sound Demixing. A unique aspect of this challenge was the ability to test the audio source separation models developed by challenge participants on non-public songs from Sony Music Entertainment Japan for the music demixing track, and movie soundtracks from Sony Pictures for the cinematic sound demixing track. The challenge ran from January 23rd to May 1st, 2023, and had 884 participants distributed across 68 teams submitting 2828 source separation models. The winners will be announced at the SDX2023 Workshop, which will take place as a satellite event at the International Symposium of Music Information Retrieval (ISMR) in Milan, Italy on November 4, 2023.

      MERL’s contribution to SDX2023 focused mainly on the cinematic demixing track. In addition to sponsoring the prizes awarded to the winning teams for that track, the baseline system and initial training data were MERL’s Cocktail Fork separation model and Divide and Remaster dataset, respectively. MERL researchers also contributed to a Town Hall kicking off the challenge, co-authored a scientific paper describing the challenge outcomes, and co-organized the SDX2023 Workshop.
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  •  NEWS    MERL researchers presenting four papers and organizing the VLAR-SMART101 Workshop at ICCV 2023
    Date: October 2, 2023 - October 6, 2023
    Where: Paris/France
    MERL Contacts: Moitreya Chatterjee; Anoop Cherian; Michael J. Jones; Toshiaki Koike-Akino; Suhas Lohit; Tim K. Marks; Pedro Miraldo; Kuan-Chuan Peng; Ye Wang
    Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    Brief
    • MERL researchers are presenting 4 papers and organizing the VLAR-SMART-101 workshop at the ICCV 2023 conference, which will be held in Paris, France October 2-6. ICCV is one of the most prestigious and competitive international conferences in computer vision. Details are provided below.

      1. Conference paper: “Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis,” by Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal Patel, and Tim K. Marks

      Conditional generative models typically demand large annotated training sets to achieve high-quality synthesis. As a result, there has been significant interest in plug-and-play generation, i.e., using a pre-defined model to guide the generative process. In this paper, we introduce Steered Diffusion, a generalized framework for fine-grained photorealistic zero-shot conditional image generation using a diffusion model trained for unconditional generation. The key idea is to steer the image generation of the diffusion model during inference via designing a loss using a pre-trained inverse model that characterizes the conditional task. Our model shows clear qualitative and quantitative improvements over state-of-the-art diffusion-based plug-and-play models, while adding negligible computational cost.

      2. Conference paper: "BANSAC: A dynamic BAyesian Network for adaptive SAmple Consensus," by Valter Piedade and Pedro Miraldo

      We derive a dynamic Bayesian network that updates individual data points' inlier scores while iterating RANSAC. At each iteration, we apply weighted sampling using the updated scores. Our method works with or without prior data point scorings. In addition, we use the updated inlier/outlier scoring for deriving a new stopping criterion for the RANSAC loop. Our method outperforms the baselines in accuracy while needing less computational time.

      3. Conference paper: "Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes," by Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, and Erik Learned-Miller

      We present a novel approach to estimating camera rotation in crowded, real-world scenes captured using a handheld monocular video camera. Our method uses a novel generalization of the Hough transform on SO3 to efficiently find the camera rotation most compatible with the optical flow. Because the setting is not addressed well by other data sets, we provide a new dataset and benchmark, with high-accuracy and rigorously annotated ground truth on 17 video sequences. Our method is more accurate by almost 40 percent than the next best method.

      4. Workshop paper: "Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection" by Manish Sharma*, Moitreya Chatterjee*, Kuan-Chuan Peng, Suhas Lohit, and Michael Jones

      While state-of-the-art object detection methods for RGB images have reached some level of maturity, the same is not true for Infrared (IR) images. The primary bottleneck towards bridging this gap is the lack of sufficient labeled training data in the IR images. Towards addressing this issue, we present TensorFact, a novel tensor decomposition method which splits the convolution kernels of a CNN into low-rank factor matrices with fewer parameters. This compressed network is first pre-trained on RGB images and then augmented with only a few parameters. This augmented network is then trained on IR images, while freezing the weights trained on RGB. This prevents it from over-fitting, allowing it to generalize better. Experiments show that our method outperforms state-of-the-art.

      5. “Vision-and-Language Algorithmic Reasoning (VLAR) Workshop and SMART-101 Challenge” by Anoop Cherian,  Kuan-Chuan Peng, Suhas Lohit, Tim K. Marks, Ram Ramrakhya, Honglu Zhou, Kevin A. Smith, Joanna Matthiesen, and Joshua B. Tenenbaum

      MERL researchers along with researchers from MIT, GeorgiaTech, Math Kangaroo USA, and Rutgers University are jointly organizing a workshop on vision-and-language algorithmic reasoning at ICCV 2023 and conducting a challenge based on the SMART-101 puzzles described in the paper: Are Deep Neural Networks SMARTer than Second Graders?. A focus of this workshop is to bring together outstanding faculty/researchers working at the intersections of vision, language, and cognition to provide their opinions on the recent breakthroughs in large language models and artificial general intelligence, as well as showcase their cutting edge research that could inspire the audience to search for the missing pieces in our quest towards solving the puzzle of artificial intelligence.

      Workshop link: https://wvlar.github.io/iccv23/
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  •  NEWS    MERL presents 9 papers at 2023 IFAC World Congress
    Date: July 9, 2023 - July 14, 2023
    MERL Contacts: Karl Berntorp; Scott A. Bortoff; Ankush Chakrabarty; Stefano Di Cairano; Christopher R. Laughman; Diego Romeres; Abraham P. Vinod
    Research Areas: Control, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, Robotics
    Brief
    • MERL researchers presented 9 papers and organized 2 invited/workshop sessions at the 2023 IFAC World Congress held in Yokohama, JP.

      MERL's contributions covered topics including decision-making for autonomous vehicles, statistical and learning-based estimation for GNSS and energy systems, impedance control for delta robots, learning for system identification of rigid body dynamics and time-varying systems, and meta-learning for deep state-space modeling using data from similar systems. The invited session (MERL co-organizer: Ankush Chakrabarty) was on the topic of “Estimation and observer design: theory and applications” and the workshop (MERL co-organizer: Karl Berntorp) was on “Gaussian Process Learning for Systems and Control”.
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  •  NEWS    MERL researchers present 3 papers on Dexterous Manipulation at RSS 23.
    Date: July 11, 2023
    Where: Daegu, Korea
    MERL Contacts: Siddarth Jain; Devesh K. Jha; Arvind Raghunathan
    Research Areas: Artificial Intelligence, Machine Learning, Robotics
    Brief
    • MERL researchers presented 3 papers at the 19th edition of Robotics:Science and Systems Conference in Daegu, Korea. RSS is the flagship conference of the RSS foundation and is run as a single track conference presenting a limited number of high-quality papers. This year the main conference had a total of 112 papers presented. MERL researchers presented 2 papers in the main conference on planning and perception for dexterous manipulation. Another paper was presented in a workshop of learning for dexterous manipulation. More details can be found here https://roboticsconference.org.
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  •  NEWS    Keynote address given by Philip Orlik at 9th annual IEEE Smartcomp conference
    Date: June 26, 2023
    Where: International Conference on Smart Computing (SMARTCOMP), Vanderbilt University, Nashville, Tennessee
    MERL Contact: Philip V. Orlik
    Research Areas: Communications, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Signal Processing
    Brief
    • VP & Research Director, Philip Orlik, gave a keynote titled, "Smart Technologies for Smarter Buildings" at the 9th edition of the IEEE International Conference on Smart Computing (SMARTCOMP) focusing on some of the research challenges and opportunities that arise as we seek to achieve net-zero emissions in Smart building environments.

      SMARTCOMP is the premier conference on smart computing. Smart computing is a multidisciplinary domain based on the synergistic influence of advances in sensor-based technologies, Internet of Things, cyber-physical systems, edge computing, big data analytics, machine learning, cognitive computing, and artificial intelligence.
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  •  NEWS    MERL researchers presenting four papers and co-organizing a workshop at CVPR 2023
    Date: June 18, 2023 - June 22, 2023
    Where: Vancouver/Canada
    MERL Contacts: Anoop Cherian; Michael J. Jones; Suhas Lohit; Kuan-Chuan Peng
    Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    Brief
    • MERL researchers are presenting 4 papers and co-organizing a workshop at the CVPR 2023 conference, which will be held in Vancouver, Canada June 18-22. CVPR is one of the most prestigious and competitive international conferences in computer vision. Details are provided below.

      1. “Are Deep Neural Networks SMARTer than Second Graders,” by Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin Smith, and Joshua B. Tenenbaum

      We present SMART: a Simple Multimodal Algorithmic Reasoning Task and the associated SMART-101 dataset for evaluating the abstraction, deduction, and generalization abilities of neural networks in solving visuo-linguistic puzzles designed for children in the 6-8 age group. Our experiments using SMART-101 reveal that powerful deep models are not better than random accuracy when analyzed for generalization. We also evaluate large language models (including ChatGPT) on a subset of SMART-101 and find that while these models show convincing reasoning abilities, their answers are often incorrect.

      Paper: https://arxiv.org/abs/2212.09993

      2. “EVAL: Explainable Video Anomaly Localization,” by Ashish Singh, Michael J. Jones, and Erik Learned-Miller

      This work presents a method for detecting unusual activities in videos by building a high-level model of activities found in nominal videos of a scene. The high-level features used in the model are human understandable and include attributes such as the object class and the directions and speeds of motion. Such high-level features allow our method to not only detect anomalous activity but also to provide explanations for why it is anomalous.

      Paper: https://arxiv.org/abs/2212.07900

      3. "Aligning Step-by-Step Instructional Diagrams to Video Demonstrations," by Jiahao Zhang, Anoop Cherian, Yanbin Liu, Yizhak Ben-Shabat, Cristian Rodriguez, and Stephen Gould

      The rise of do-it-yourself (DIY) videos on the web has made it possible even for an unskilled person (or a skilled robot) to imitate and follow instructions to complete complex real world tasks. In this paper, we consider the novel problem of aligning instruction steps that are depicted as assembly diagrams (commonly seen in Ikea assembly manuals) with video segments from in-the-wild videos. We present a new dataset: Ikea Assembly in the Wild (IAW) and propose a contrastive learning framework for aligning instruction diagrams with video clips.

      Paper: https://arxiv.org/pdf/2303.13800.pdf

      4. "HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions," by Anshul Shah, Aniket Roy, Ketul Shah, Shlok Kumar Mishra, David Jacobs, Anoop Cherian, and Rama Chellappa

      In this work, we propose a new contrastive learning approach to train models for skeleton-based action recognition without labels. Our key contribution is a simple module, HaLP: Hallucinating Latent Positives for contrastive learning. HaLP explores the latent space of poses in suitable directions to generate new positives. Our experiments using HaLP demonstrates strong empirical improvements.

      Paper: https://arxiv.org/abs/2304.00387

      The 4th Workshop on Fair, Data-Efficient, and Trusted Computer Vision

      MERL researcher Kuan-Chuan Peng is co-organizing the fourth Workshop on Fair, Data-Efficient, and Trusted Computer Vision (https://fadetrcv.github.io/2023/) in conjunction with CVPR 2023 on June 18, 2023. This workshop provides a focused venue for discussing and disseminating research in the areas of fairness, bias, and trust in computer vision, as well as adjacent domains such as computational social science and public policy.
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  •  NEWS    Mitsubishi Electric Corporation Press Release Announces Worlds First GaN Power Amplifier Capable of Wideband Operation for 4G, 5G and Beyond 5G/6G.
    Date: June 8, 2023
    MERL Contacts: Toshiaki Koike-Akino; Koon Hoo Teo
    Research Areas: Communications, Electronic and Photonic Devices, Machine Learning, Signal Processing
    Brief
    • Mitsubishi Electric Corporation announced today it has developed what is believed to be the world's first gallium nitride (GaN) power amplifier that achieves a frequency range of 3,400MHz using a single power amplifier, which the company has demonstrated can be used for 4G, 5G and Beyond 5G/6G communication systems operating at different frequencies in a single base station. The amplifier is expected to enable the radio unit (transceiver) to be shared with different communication systems and lead to more power-efficient base stations.

      Mitsubishi Electric Researchers, Toshiaki Koike-Akino and Koon Hoo Teo helped developed the technology and device. Technical details will be presented at the IEEE International Microwave Symposium 2023 this month.

      Please see the link below for the full press release from Mitsubishi Electric.
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  •  NEWS    Abraham Vinod gave an invited talk at the University of California Santa Cruz
    Date: June 8, 2023
    Where: Zoom
    MERL Contact: Abraham P. Vinod
    Research Areas: Artificial Intelligence, Control, Dynamical Systems, Optimization, Robotics
    Brief
    • Abraham Vinod gave an invited talk at the Electrical and Computer Engineering Department, the University of California Santa Cruz, titled "Motion Planning under Constraints and Uncertainty using Data and Reachability". His presentation covered recent work on fast and safe motion planners that can allow for coordination among agents, mitigate uncertainty arising from sensing limitations and simplified models, and tolerate the possibility of failures.
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  •  NEWS    Ankush Chakrabarty co-organized three sessions at the ACC2023, and was nominated for Best Energy Systems Paper.
    Date: June 30, 2023 - June 2, 2023
    Where: San Diego, CA
    MERL Contact: Ankush Chakrabarty
    Research Areas: Applied Physics, Artificial Intelligence, Control, Data Analytics, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, Robotics
    Brief
    • Ankush Chakrabarty (researcher, Multiphysical Systems Team) co-organized and spoke at 3 sessions at the 2023 American Control Conference in San Diego, CA. These include: (1) A tutorial session (w/ Stefano Di Cairano) on "Physics Informed Machine Learning for Modeling and Control": an effort with contributions from multiple academic institutes and US research labs; (2) An invited session on "Energy Efficiency in Smart Buildings and Cities" in which his paper (w/ Chris Laughman) on "Local Search Region Constrained Bayesian Optimization for Performance Optimization of Vapor Compression Systems" was nominated for Best Energy Systems Paper Award; and, (3) A special session on Diversity, Equity, and Inclusion to improve recruitment and retention of underrepresented groups in STEM research.
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  •  NEWS    Abraham Vinod serves as a panelist at the Student Networking Event at American Control Conference 2023
    Date: June 1, 2023
    Where: San Diego, CA
    MERL Contact: Abraham P. Vinod
    Research Areas: Control, Optimization
    Brief
    • The student networking event provides an opportunity for all interested students attending American Control Conference 2023 to receive career advice from professionals working in industry, academia, and national laboratories during a structured event. The event aims to provide an engaging experience to students that illustrates the benefits of involvement in the control community and encourage their continued participation as the future leaders in the field.
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  •  NEWS    MERL researchers present 10 papers at the American Control Conference (ACC)
    Date: May 31, 2023 - June 2, 2023
    Where: San Diego, CA
    MERL Contacts: Karl Berntorp; Ankush Chakrabarty; Vedang M. Deshpande; Stefano Di Cairano; Devesh K. Jha; Christopher R. Laughman; Arvind Raghunathan; Diego Romeres; Abraham P. Vinod; Yebin Wang; Avishai Weiss
    Research Areas: Control, Machine Learning, Optimization
    Brief
    • MERL will present 10 papers at the American Control Conference (ACC) in San Diego, CA, with topics including autonomous-vehicle decision making and control, physics-informed machine learning, motion planning, control subject to nonconvex chance constraints, and optimal power management. Two talks are part of tutorial sessions.
      MERL will also be present at the conference as a sponsor, with a booth for discussing with researchers and students, and hosting a special session at lunch with highlights of MERL research and work philosophy.
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  •  NEWS    MERL Researchers Organize Two MiniSymposia and Five Invited Talks at the 2023 SIAM Conference on Optimization
    Date: May 31, 2023 - June 3, 2023
    Where: 2023 SIAM Conference on Optimization
    MERL Contacts: Devesh K. Jha; Arvind Raghunathan
    Research Areas: Control, Optimization, Robotics
    Brief
    • Arvind Raghunathan, Senior Team Leader and Senior Principal Research Scientist in Optimization & Intelligent Robotics team, will organize two minisymposia at the 2023 SIAM Conference on Optimization to be held in Seattle from May 31 to June 3. The two minisymposia titled "Optimization in Control – Algorithms, Applications, and Software" and "New Algorithmic Techniques for Global Optimization" will feature twelve invited speakers from academia and national labs.

      Additionally, Arvind together with Devesh Jha, Principal Research Scientist in Optimization & Intelligent Robotics Team, and collaborators will present five invited talks covering the topics of algorithms for convex programs, multilinear programs, mixed-integer nonlinear programs, and robotics.

      See:
      https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=76268
      https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=76269
      https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=76270
      https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=76256
      https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=75897
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  •  NEWS    MERL Researchers Present Thirteen Papers at the 2023 IEEE International Conference on Robotics and Automation (ICRA)
    Date: May 29, 2023 - June 2, 2023
    Where: 2023 IEEE International Conference on Robotics and Automation (ICRA)
    MERL Contacts: Anoop Cherian; Radu Corcodel; Siddarth Jain; Devesh K. Jha; Toshiaki Koike-Akino; Tim K. Marks; Daniel N. Nikovski; Arvind Raghunathan; Diego Romeres
    Research Areas: Computer Vision, Machine Learning, Optimization, Robotics
    Brief
    • MERL researchers will present thirteen papers, including eight main conference papers and five workshop papers, at the 2023 IEEE International Conference on Robotics and Automation (ICRA) to be held in London, UK from May 29 to June 2. ICRA is one of the largest and most prestigious conferences in the robotics community. The papers cover a broad set of topics in Robotics including estimation, manipulation, vision-based object recognition and segmentation, tactile estimation and tool manipulation, robotic food handling, robot skill learning, and model-based reinforcement learning.

      In addition to the paper presentations, MERL robotics researchers will also host an exhibition booth and look forward to discussing our research with visitors.
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  •  NEWS    MERL researchers presented four papers and organized a special session at The 14th IEEE International Electric Machines and Drives Conference
    Date: May 15, 2023 - May 18, 2023
    Where: San Francisco, CA
    MERL Contacts: Dehong Liu; Bingnan Wang
    Research Areas: Applied Physics, Control, Electric Systems, Machine Learning, Optimization, Signal Processing
    Brief
    • MERL researchers Yusuke Sakamoto, Anantaram Varatharajan, and
      Bingnan Wang presented four papers at IEMDC 2023 held May 15-18 in San Francisco, CA. The topics of the four oral presentations range from electric machine design optimization, to fault detection and sensorless control. Bingnan Wang organized a special session at the conference entitled: Learning-based Electric Machine Design and Optimization. Bingnan Wang and Yusuke Sakamoto together chaired the special session, as well as a session on: Condition Monitoring, Fault Diagnosis and Prognosis.

      The 14th IEEE International Electric Machines and Drives Conference: IEMDC 2023, is one of the major conferences in the area of electric machines and drives. The conference was established in 1997 and has taken place every two years thereafter.
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  •  NEWS    Arvind Raghunathan to Chair The 2022 Howard Rosenbrock Prize Committee
    Date: April 30, 2023
    MERL Contact: Arvind Raghunathan
    Research Area: Optimization
    Brief
    • Arvind Raghunathan, Senior Team Leader and Senior Principal Research Scientist with Optimization and Intelligent Robotics team, will serve as the Chair of The 2022 Howard Rosenbrock Prize Committee. Every year, Optimization and Engineering (OPTE) journal honors excellence in scientific research by presenting the Rosenbrock Prize to the best paper published in the previous year. The prize recognizes outstanding research contributions that demonstrate Howard Rosenbrock’s own dedication to bridging the gap between optimization and engineering.
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  •  NEWS    Anthony Vetro appointed President & CEO of Mitsubishi Electric Research Laboratories
    Date: April 1, 2023
    MERL Contact: Anthony Vetro
    Brief
    • Anthony Vetro has been appointed President and Chief Executive Officer (CEO) of Mitsubishi Electric Research Laboratories (MERL), the research and development arm for Mitsubishi Electric Corporation in the U.S. In his role, Vetro will oversee all aspects of the lab’s operations; manage and direct its long-term goals, growth and return on investment; and collaborate closely with Mitsubishi Electric’s research counterparts in Japan on advancing the company’s global smart society and sustainability initiatives.

      Vetro previously served as Vice President & Director of MERL. In this role, he contributed to the strategic direction of the company where he established new research programs and led teams in a variety of emerging technology areas. He succeeds Richard C. Waters, a founding MERL member, who was CEO for 24 years, and will continue as chairperson.

      “Anthony has played a significant role in shaping MERL’s evolution as a premier research lab that drives innovation across all of our U.S. business units,” said Mike Corbo, chief representative for the America’s region. “His leadership will further advance our long-term vision to integrate our cross-industry products, services and technologies, and enable the interconnection of people-centric technology and systems that will help realize a truly sustainable smart society.”

      Vetro began his MERL career in 1996, where he conducted research in the area of multimedia signal processing, with a focus on video compression. His research contributed to the transfer and development of several technologies that were integrated into Mitsubishi Electric products, including digital television receivers and displays, surveillance and camera monitoring systems, automotive equipment, as well as satellite imaging systems. He holds a Ph.D. in electrical engineering from New York University – Tandon School of Engineering and is an IEEE Fellow.

      “MERL celebrated its 30th Anniversary last year, where we recognized our many innovations and the people that made them possible,” said Vetro. “I’m looking forward to working even more closely with our teams to further strengthen relationships among our business units and serve as technological bridge for product innovation throughout the next 30 years and beyond.”
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  •  NEWS    Jonathan Le Roux gives invited talk at CMU's Language Technology Institute Colloquium
    Date: December 9, 2022
    Where: Pittsburg, PA
    MERL Contact: Jonathan Le Roux
    Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
    Brief
    • MERL Senior Principal Research Scientist and Speech and Audio Senior Team Leader, Jonathan Le Roux, was invited by Carnegie Mellon University's Language Technology Institute (LTI) to give an invited talk as part of the LTI Colloquium Series. The LTI Colloquium is a prestigious series of talks given by experts from across the country related to different areas of language technologies. Jonathan's talk, entitled "Towards general and flexible audio source separation", presented an overview of techniques developed at MERL towards the goal of robustly and flexibly decomposing and analyzing an acoustic scene, describing in particular the Speech and Audio Team's efforts to extend MERL's early speech separation and enhancement methods to more challenging environments, and to more general and less supervised scenarios.
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  •  NEWS    Rien Quirynen Appointed IPC Vice-Chair for the 8th IFAC Conference on NMPC 2024
    Date: August 27, 2024 - August 30, 2024
    Where: Kyoto, Japan
    Research Areas: Control, Machine Learning, Multi-Physical Modeling, Optimization, Robotics
    Brief
    • MERL researcher Rien Quirynen has been appointed as Vice-Chair from Industry of the International Program Committee of the 8th IFAC Conference on Nonlinear Model Predictive Control, which will be held in Kyoto, Japan, in August 2024.

      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.
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  •  NEWS    Chris Laughman delivered two seminar talks for at the School of Engineering at Penn State
    Date: February 16, 2023 - February 17, 2023
    Where: Pennsylvania State University
    MERL Contact: Christopher R. Laughman
    Research Areas: Control, Machine Learning, Multi-Physical Modeling
    Brief
    • On February 16 and 17, Chris Laughman, Senior Team Leader of the Multiphysical Systems Team, presented lectures for the Systems, Robotics, and Controls Seminar Series in the School of Engineering, and for the Distinguished Speaker Series in Architectural Engineering. His talk was titled "Architectural Thermofluid Systems: Next-Generation Challenges and Opportunities," and described characteristics of these systems that require specific attention in model-based system engineering processes, as well as MERL research to address these challenges.
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  •  NEWS    Anthony Vetro participates in CES panel on renewable energy
    Date: January 7, 2023
    Where: Las Vegas, NV
    MERL Contact: Anthony Vetro
    Brief
    • Sustainability took center stage at the 2023 Consumer Electronics Show held in Las Vegas from Jan 5-8. Anthony Vetro, VP & Director at MERL, participated in a panel on "Renewable Energy, Renewable World" at CES 2023, where he spoke on renewable energy solutions including electric vehicles, energy resource management, and energy-efficient heat pumps.

      The panel was moderated by Hayden Fields, Senior Reporter at Morning Brew. Other panelists included Andrea Murphy (Director of Environmental Affairs and Sustainability, Panasonic) Enass Abo-Hamed (CEO, H2GO Power), and Giovanni Fili (Founder and CEO, Exeger).

      The video recording of the panel is available online:
      CES 2023 Panel on Renewable Energy, Renewable World

      Related article on sustainability panels at CES:
      https://impakter.com/sustainability-takes-center-stage-at-ces-2023/
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