News & Events

139 Events and Talks were found.


  •  EVENT   MERL Open House
    Date & Time: Thursday, December 8, 2016; 4:00-7:00pm
    MERL Contacts: Elizabeth Phillips; Anthony Vetro
    Location: 201 Broadway, 8th Floor, Cambridge, MA
    Brief
    • Snacks, demos, science: On Thursday 12/8, 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 4-7pm and will feature demos & short presentations in our main areas of research: algorithms, multimedia, electronics, communications, computer vision, speech processing, optimization, machine learning, data analytics, mechatronics, dynamics, control, and robotics. 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:
      https://www.eventbrite.com/e/merl-open-house-tickets-29408503626

      Current internship and employment openings:
      http://www.merl.com/internship/openings
      http://www.merl.com/employment/employment
  •  
  •  EVENT   MERL participating in Engineering Career Fair
    Date & Time: Wednesday, November 16, 2016; 3:30-6:30pm
    MERL Contacts: Elizabeth Phillips; Anthony Vetro
    Location: Sheraton Commander (16 Garden Street, Cambridge, MA)
    Brief
    • MERL will be participating in the Engineering Career Fair Collaborative, which is being held on November 16, 2016 at the Sheraton Commander in Cambridge from 3:30-6:30pm. Graduate students with an interest in learning about internship and other employment opportunities at MERL are invited to visit our booth. Staff members will be on hand to discuss current openings. We will also be showing some demonstrations of current research projects.

      Current internship and employment openings:
      http://www.merl.com/internship/openings
      http://www.merl.com/employment/employment
  •  
  •  EVENT   SANE 2016 - Speech and Audio in the Northeast
    Date: Friday, October 21, 2016
    MERL Contact: Jonathan Le Roux
    Location: MIT, McGovern Institute for Brain Research, Cambridge, MA
    Research Area: Speech & Audio
    Brief
    • SANE 2016, a one-day event gathering researchers and students in speech and audio from the Northeast of the American continent, will be held on Friday October 21, 2016 at MIT's Brain and Cognitive Sciences Department, at the McGovern Institute for Brain Research, in Cambridge, MA.

      It is a follow-up to SANE 2012 (Mitsubishi Electric Research Labs - MERL), SANE 2013 (Columbia University), SANE 2014 (MIT CSAIL), and SANE 2015 (Google NY). Since the first edition, the audience has steadily grown, gathering 140 researchers and students in 2015.

      SANE 2016 will feature invited talks by leading researchers: Juan P. Bello (NYU), William T. Freeman (MIT/Google), Nima Mesgarani (Columbia University), DAn Ellis (Google), Shinji Watanabe (MERL), Josh McDermott (MIT), and Jesse Engel (Google). It will also feature a lively poster session during lunch time, open to both students and researchers.

      SANE 2016 is organized by Jonathan Le Roux (MERL), Josh McDermott (MIT), Jim Glass (MIT), and John R. Hershey (MERL).
  •  
  •  TALK   Foundations of Green Communications
    Date & Time: Friday, September 23, 2016; 12:00 PM- 1:00 PM
    Speaker: Dr. Earl McCune, Eridan Communications
    MERL Host: Rui Ma
    Research Areas: Communications, Signal Processing
    Brief
    • To maximize the operating energy efficiency of any wireless communication link requires a global optimization not only across the entire block diagram, but also including the selected signal modulation and aspects of the link operating protocol. Achieving this global optimization is first examined for the transmitter, receiver, and baseband circuitry. Then the important aspects of signal modulation necessary to access these circuit optimizations, with examples, are presented, followed by the correspondingly important protocol aspects needed. A metric called modulation-available energy efficiency (MAEE) compares proposed signals for compatibility with high energy efficiency objectives.
  •  
  •  TALK   Atomic-level modelling of materials with applications to semi-conductors.
    Date & Time: Wednesday, August 17, 2016; 1 PM
    Speaker: Gilles Zerah, Centre Francais en Calcul Atomique et Moleculaire-Ile-de-France (CFCAM-IdF)
    Research Areas: Applied Physics, Electronic and Photonic Devices
    Brief
    • The first part of the talk is a high-level review of modern technologies for atomic-level modelling of materials. The second part discusses band gap calculations and MERL results for semi-conductors.
  •  
  •  EVENT   MERL Hosts 2nd Annual Women In Science Celebration
    Date & Time: Friday, July 22, 2016; 12:00 Noon
    MERL Contacts: Elizabeth Phillips; Jinyun Zhang
    Location: Cambridge Brewery
    Brief
    • MERL hosted its 2nd Annual "Women In Science Celebration". MERL's current team of female interns discussed and celebrated the contributions they've made during their internships at MERL.
  •  
  •  TALK   A computational spectral graph theory tutorial
    Date & Time: Wednesday, July 13, 2016; 2:30 PM - 3:30
    Speaker: Richard Lehoucq, Sandia National Laboratories
    Research Areas: Computer Vision, Digital Video, Machine Learning
    Brief
    • My presentation considers the research question of whether existing algorithms and software for the large-scale sparse eigenvalue problem can be applied to problems in spectral graph theory. I first provide an introduction to several problems involving spectral graph theory. I then provide a review of several different algorithms for the large-scale eigenvalue problem and briefly introduce the Anasazi package of eigensolvers.
  •  
  •  EVENT   MERL participates in SIAM Career fair
    Date & Time: Monday, July 11, 2016; 10 AM - 9:15 PM
    MERL Contacts: Matthew Brand; Piyush Grover; Joseph Katz; Arvind Raghunathan
    Location: Westin Boston Waterfront Pavilion, Boston, Massachusetts
    Brief
    • MERL researchers participate in SIAM Job fair to showcase MERL's research and highlight employment and intern opportunities at MERL. The Career Fair emphasizes careers in business, industry, and government, and takes place during the SIAM Annual Meeting.

      The SIAM Applied Mathematics and Computational Science Career Fair is an informational and interactive event at which employers and prospective employees can discuss careers. It is a great opportunity for prospective employees to meet government and industry representatives and discuss what they are looking for and what each employer has to offer.
  •  
  •  TALK   Controlling the Grid Edge: Emerging Grid Operation Paradigms
    Date & Time: Thursday, July 7, 2016; 2:00 PM
    Speaker: Dr. Sonja Glavaski, Program Director, ARPA-E
    MERL Host: Arvind Raghunathan
    Research Area: Electric Systems
    Brief
    • The evolution of the grid faces significant challenges if it is to integrate and accept more energy from renewable generation and other Distributed Energy Resources (DERs). To maintain grid's reliability and turn intermittent power sources into major contributors to the U.S. energy mix, we have to think about the grid differently and design it to be smarter and more flexible.

      ARPA-E is interested in disruptive technologies that enable increased integration of DERs by real-time adaptation while maintaining grid reliability and reducing cost for customers with smart technologies. The potential impact is significant, with projected annual energy savings of more than 3 quadrillion BTU and annual CO2 emissions reductions of more than 250 million metric tons.

      This talk will identify opportunities in developing next generation control technologies and grid operation paradigms that address these challenges and enable secure, stable, and reliable transmission and distribution of electrical power. Summary of newly announced ARPA-E NODES (Network Optimized Distributed Energy Systems) Program funding development of these technologies will be presented.
  •  
  •  EVENT   MERL celebrates 25 years of innovation
    Date: Thursday, June 2, 2016
    MERL Contacts: Elizabeth Phillips; Anthony Vetro
    Location: Norton's Woods Conference Center at American Academy of Arts & Sciences, Cambridge, MA
    Brief
    • MERL celebrated 25 years of innovation on Thursday, June 2 at the Norton's Woods Conference Center at the American Academy of Arts & Sciences in Cambridge, MA. The event was a great success, with inspiring keynote talks, insightful panel sessions, and an exciting research showcase of MERL's latest breakthroughs.

      Please visit the event page to view photos of each session, video presentations, as well as a commemorative booklet that highlights past and current research.
  •  
  •  TALK   Speech structure and its application to speech processing -- Relational, holistic and abstract representation of speech
    Date & Time: Friday, June 3, 2016; 1:30PM - 3:00PM
    Speaker: Nobuaki Minematsu and Daisuke Saito, The University of Tokyo
    Research Area: Speech & Audio
    Brief
    • Speech signals covey various kinds of information, which are grouped into two kinds, linguistic and extra-linguistic information. Many speech applications, however, focus on only a single aspect of speech. For example, speech recognizers try to extract only word identity from speech and speaker recognizers extract only speaker identity. Here, irrelevant features are often treated as hidden or latent by applying the probability theory to a large number of samples or the irrelevant features are normalized to have quasi-standard values. In speech analysis, however, phases are usually removed, not hidden or normalized, and pitch harmonics are also removed, not hidden or normalized. The resulting speech spectrum still contains both linguistic information and extra-linguistic information. Is there any good method to remove extra-linguistic information from the spectrum? In this talk, our answer to that question is introduced, called speech structure. Extra-linguistic variation can be modeled as feature space transformation and our speech structure is based on the transform-invariance of f-divergence. This proposal was inspired by findings in classical studies of structural phonology and recent studies of developmental psychology. Speech structure has been applied to accent clustering, speech recognition, and language identification. These applications are also explained in the talk.
  •  
  •  TALK   On computer simulation of multiscale processes in porous electrodes of Li-ion batteries
    Date & Time: Friday, May 13, 2016; 12:00 PM
    Speaker: Oleg Iliev, Fraunhofer Institute for Industrial Mathematics, ITWM
    Research Area: Dynamical Systems
    Brief
    • Li-ion batteries are widely used in automotive industry, in electronic devices, etc. In this talk we will discuss challenges related to the multiscale nature of batteries, mainly the understanding of processes in the porous electrodes at pore scale and at macroscale. A software tool for simulation of isothermal and non-isothermal electrochemical processes in porous electrodes will be presented. The pore scale simulations are done on 3D images of porous electrodes, or on computer generated 3D microstructures, which have the same characterization as real porous electrodes. Finite Volume and Finite Element algorithms for the highly nonlinear problems describing processes at pore level will be shortly presented. Model order reduction, MOR, empirical interpolation method, EIM-MOR algorithms for acceleration of the computations will be discussed, as well as the reduced basis method for studying parameters dependent problems. Next, homogenization of the equations describing the electrochemical processes at the pore scale will be presented, and the results will be compared to the engineering approach based on Newman's 1D+1D model. Simulations at battery cell level will also be addressed. Finally, the challenges in modeling and simulation of degradation processes in the battery will be discussed and our first simulation results in this area will be presented.

      This is joint work with A.Latz (DLR), M.Taralov, V.Taralova, J.Zausch, S.Zhang from Fraunhofer ITWM, Y.Maday from LJLL, Paris 6 and Y.Efendiev from Texas A&M.
  •  
  •  EVENT   John Hershey Invited to Speak at Deep Learning Summit 2016 in Boston
    Date: Thursday, May 12, 2016 - Friday, May 13, 2016
    Location: Deep Learning Summit, Boston, MA
    Research Areas: Speech & Audio
    Brief
    • MERL Speech and Audio Senior Team Leader John Hershey is among a set of high-profile researchers invited to speak at the Deep Learning Summit 2016 in Boston on May 12-13, 2016. John will present the team's groundbreaking work on general sound separation using a novel deep learning framework called Deep Clustering. For the first time, an artificial intelligence is able to crack the half-century-old "cocktail party problem", that is, to isolate the speech of a single person from a mixture of multiple unknown speakers, as humans do when having a conversation in a loud crowd.
  •  
  •  TALK   Advanced Recurrent Neural Networks for Automatic Speech Recognition
    Date & Time: Friday, April 29, 2016; 12:00 PM - 1:00 PM
    Speaker: Yu Zhang, MIT
    Research Area: Speech & Audio
    Brief
    • A recurrent neural network (RNN) is a class of neural network models where connections between its neurons form a directed cycle. This creates an internal state of the network which allows it to exhibit dynamic temporal behavior. Recently the RNN-based acoustic models greatly improved automatic speech recognition (ASR) accuracy on many tasks, such as an advanced version of the RNN, which exploits a structure called long-short-term memory (LSTM). However, ASR performance with distant microphones, low resources, noisy, reverberant conditions, and on multi-talker speech are still far from satisfactory as compared to humans. To address these issues, we develop new strucute of RNNs inspired by two principles: (1) the structure follows the intuition of human speech recognition; (2) the structure is easy to optimize. The talk will go beyond basic RNNs, introduce prediction-adaptation-correction RNNs (PAC-RNNs) and highway LSTMs (HLSTMs). It studies both uni-directional and bi-direcitonal RNNs and discriminative training also applied on top the RNNs. For efficient training of such RNNs, the talk will describe two algorithms for learning their parameters in some detail: (1) Latency-Controlled bi-directional model training; and (2) Two pass forward computation for sequence training. Finally, this talk will analyze the advantages and disadvantages of different variants and propose future directions.
  •  
  •  EVENT   MERL to celebrate 25 years of innovation
    Date: Thursday, June 2, 2016
    MERL Contacts: Elizabeth Phillips; Anthony Vetro
    Location: Norton's Woods Conference Center at American Academy of Arts & Sciences, Cambridge, MA
    Brief
    • A celebration event to mark MERL's 25th anniversary will be held on Thursday, June 2 at the Norton's Woods Conference Center at the American Academy of Arts & Sciences in Cambridge, MA. This event will feature keynote talks, panel sessions, and a research showcase. The event itself is invitation-only, but videos and other highlights will be made available online. Further details about the program can be obtained at the link below.
  •  
  •  TALK   A data-centric approach to driving behavior research: How can signal processing methods contribute to the development of autonomous driving?
    Date & Time: Tuesday, March 15, 2016; 12:00 PM - 12:45 PM
    Speaker: Prof. Kazuya Takeda, Nagoya University
    Research Area: Speech & Audio
    Brief
    • Thanks to advanced "internet of things" (IoT) technologies, situation-specific human behavior has become an area of development for practical applications involving signal processing. One important area of development of such practical applications is driving behavior research. Since 1999, I have been collecting driving behavior data in a wide range of signal modalities, including speech/sound, video, physical/physiological sensors, CAN bus, LIDAR and GNSS. The objective of this data collection is to evaluate how well signal models can represent human behavior while driving. In this talk, I would like to summarize our 10 years of study of driving behavior signal processing, which has been based on these signal corpora. In particular, statistical signal models of interactions between traffic contexts and driving behavior, i.e., stochastic driver modeling, will be discussed, in the context of risky lane change detection. I greatly look forward to discussing the scalability of such corpus-based approaches, which could be applied to almost any traffic situation.
  •  
  •  TALK   Driver's mental workload estimation based on the reflex eye movement
    Date & Time: Tuesday, March 15, 2016; 12:45 PM - 1:30 PM
    Speaker: Prof. Hirofumi Aoki, Nagoya University
    Research Area: Speech & Audio
    Brief
    • Driving requires a complex skill that is involved with the vehicle itself (e.g., speed control and instrument operation), other road users (e.g., other vehicles, pedestrians), surrounding environment, and so on. During driving, visual cues are the main source to supply information to the brain. In order to stabilize the visual information when you are moving, the eyes move to the opposite direction based on the input to the vestibular system. This involuntary eye movement is called as the vestibulo-ocular reflex (VOR) and the physiological models have been studied so far. Obinata et al. found that the VOR can be used to estimate mental workload. Since then, our research group has been developing methods to quantitatively estimate mental workload during driving by means of reflex eye movement. In this talk, I will explain the basic mechanism of the reflex eye movement and how to apply for mental workload estimation. I also introduce the latest work to combine the VOR and OKR (optokinetic reflex) models for naturalistic driving environment.
  •  
  •  TALK   Emotion Detection for Health Related Issues
    Date & Time: Tuesday, February 16, 2016; 12:00 PM - 1:00 PM
    Speaker: Dr. Najim Dehak, MIT
    Research Area: Speech & Audio
    Brief
    • Recently, there has been a great increase of interest in the field of emotion recognition based on different human modalities, such as speech, heart rate etc. Emotion recognition systems can be very useful in several areas, such as medical and telecommunications. In the medical field, identifying the emotions can be an important tool for detecting and monitoring patients with mental health disorder. In addition, the identification of the emotional state from voice provides opportunities for the development of automated dialogue system capable of producing reports to the physician based on frequent phone communication between the system and the patients. In this talk, we will describe a health related application of using emotion recognition system based on human voices in order to detect and monitor the emotion state of people.
  •  
  •  EVENT   MERL Researcher Leads an HVAC Industry Publicity Event
    Date: Friday, November 6, 2015
    MERL Contact: Christopher Laughman
    Location: Mitsubishi Electric Cooling & Heating
    Research Area: Data Analytics
    Brief
    • Chris Laughman of MERL and Kevin Miskewicz of MEUS-HVAC led a webinar on Friday, November 6 with over 20 leading HVAC industry trade publications on new products that are being released, as well as the role that MERL plays in advancing the forefront of technology within Mitsubishi Electric. Titled "Inventing the Future of VRF (and Other Neat Stuff)", they discussed the innovations embodied in the new L-generation City-Multi system, as well as trends in the HVAC industry and some recently published MERL research in the HVAC area.
  •  
  •  TALK   Skewness in the Passive Tracer Problem
    Date & Time: Monday, November 23, 2015; 12:00 PM
    Speaker: Manuchehr Aminian, University of North Carolina, Chapel Hill
    Brief
    • The classic work by G.I. Taylor describes the enhanced longitudinal diffusivity of a passive tracer subjected to laminar pipe flow. Much work since then has gone into extending this result particularly in calculating the evolution of the scalar variance. However, less work has been done to describe the evolution of asymmetry in the distribution. We present the results from a modeling effort to understand how the higher moments of the tracer distribution depend on geometry based off of explicit results in the circular pipe. We do this via analysis of "channel-limiting" geometries (rectangular ducts and elliptical pipes parameterized by their aspect ratio), using both new analytical tools and Monte Carlo simulation, which have revealed a wealth of nontrivial behavior of the distributions at short and intermediate time.
  •