News & Events

18 Events and Talks were found.




  •  EVENT   MERL 2nd Annual Open House
    Date & Time: Thursday, November 30, 2017; 4-6pm
    MERL Contacts: Marissa Deegan; Elizabeth Phillips; Jeroen van Baar; Anthony Vetro
    Location: 201 Broadway, 8th floor, Cambridge, MA
    Research Areas: Electronics & Communications, Multimedia, Data Analytics, Computer Vision, Mechatronics, Algorithms, Business Innovation
    Brief
    • Snacks, demos, science: On Thursday 11/30, Mitsubishi Electric Research Labs (MERL) will host an open house for graduate+ students interested in internships, post-docs, and research scientist positions. The event will be held from 4-6pm and will feature demos & short presentations in our main areas of research: 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://merlopenhouse2.eventbrite.com/

      Current internship and employment openings:
      http://www.merl.com/internship/openings
      http://www.merl.com/employment/employment
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  •  EVENT   Society for Industrial and Applied Mathematics panel for students on careers in industry
    Date & Time: Monday, July 10, 2017; 6:15 PM - 7:15 PM
    Speaker: Andrew Knyazev and other panelists, MERL
    MERL Contacts: Joseph Katz; Andrew Knyazev
    Location: David Lawrence Convention Center, Pittsburgh PA
    Research Areas: Electronics & Communications, Multimedia, Data Analytics, Computer Vision, Mechatronics, Algorithms, Advanced Control Systems, Computational Geometry, Computational Photography, Computational Sensing, Decision Optimization, Digital Video, Dynamical Systems, Information Security, Machine Learning, Optical Communications & Devices, Power & RF, Predictive Modeling, Speech & Audio, Wireless Communications & Signal Processing
    Brief
    • Andrew Knyazev accepted an invitation to represent MERL at the panel on Student Careers in Business, Industry and Government at the annual meeting of the Society for Industrial and Applied Mathematics (SIAM).

      The format consists of a five minute introduction by each of the panelists covering their background and an overview of the mathematical and computational challenges at their organization. The introductions will be followed by questions from the students.
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  •  TALK   Reduced basis methods and their application in data science and uncertainty quantification
    Date & Time: Monday, December 12, 2016; 12:00 PM
    Speaker: Yanlai Chen, Department of Mathematics at the University of Massachusetts Dartmouth
    MERL Host: Andrew Knyazev
    Research Areas: Algorithms, Advanced Control Systems, Dynamical Systems
    Brief
    • Models of reduced computational complexity is indispensable in scenarios where a large number of numerical solutions to a parametrized problem are desired in a fast/real-time fashion. These include simulation-based design, parameter optimization, optimal control, multi-model/scale analysis, uncertainty quantification. Thanks to an offline-online procedure and the recognition that the parameter-induced solution manifolds can be well approximated by finite-dimensional spaces, reduced basis method (RBM) and reduced collocation method (RCM) can improve efficiency by several orders of magnitudes. The accuracy of the RBM solution is maintained through a rigorous a posteriori error estimator whose efficient development is critical and involves fast eigensolves.

      In this talk, I will give a brief introduction of the RBM/RCM, and explain how they can be used for data compression, face recognition, and significantly delaying the curse of dimensionality for uncertainty quantification.
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  •  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
    Research Areas: Electronics & Communications, Multimedia, Data Analytics, Computer Vision, Mechatronics, Algorithms, Business Innovation
    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
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  •  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)
    Research Areas: Electronics & Communications, Multimedia, Data Analytics, Computer Vision, Mechatronics, Algorithms, Business Innovation
    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
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  •  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)
    MERL Host: Andrew Knyazev
    Research Areas: Electronics & Communications, Algorithms, Optical Communications & 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.
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  •  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
    Research Areas: Electronics & Communications, Multimedia, Data Analytics, Computer Vision, Mechatronics, Algorithms
    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.
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  •  TALK   A computational spectral graph theory tutorial
    Date & Time: Wednesday, July 13, 2016; 2:30 PM - 3:30
    Speaker: Richard Lehoucq, Sandia National Laboratories
    MERL Host: Andrew Knyazev
    Research Areas: Data Analytics, Computer Vision, Algorithms, Computational Photography, Digital Video, Machine Learning, Speech & Audio
    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.
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  •  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; Andrew Knyazev; Arvind Raghunathan
    Location: Westin Boston Waterfront Pavilion, Boston, Massachusetts
    Research Areas: Data Analytics, Mechatronics, Algorithms
    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.
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  •  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
    Research Areas: Electronics & Communications, Multimedia, Data Analytics, Computer Vision, Mechatronics, Algorithms, Business Innovation
    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.
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  •  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
    MERL Host: Andrew Knyazev
    Research Areas: Algorithms, Computer Vision, Mechatronics, 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.
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  •  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
    Research Areas: Algorithms, Data Analytics, Electronics & Communications, Computer Vision, Mechatronics, Multimedia
    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.
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  •  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
    MERL Host: Andrew Knyazev
    Research Area: Algorithms
    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.
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  •  EVENT   Celebrating "Women in Science at MERL" luncheon
    Date & Time: Tuesday, August 4, 2015; 12:00
    MERL Contacts: Elizabeth Phillips; Jinyun Zhang
    Location: Mitsubishi Electric Research Laboratories
    Research Areas: Algorithms, Electronics & Communications, Data Analytics, Multimedia, Mechatronics, Computer Vision
    Brief
    • To celebrate "Women in Science at MERL," a luncheon event was organized on August 4. Eleven female interns, three female researchers, and female members of HQ staff, interns’ hosts/managers and MERL executives participated in that event. All female interns introduced their research projects and their positive experiences at MERL; female researchers shared their own career development stories; and at the end all discussed how to be successful in the field of science. Every participant was inspired to continue contributing to the future of science.
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  •  TALK   Anomaly Detection in Very Large Graphs: Modeling and Computational Considerations
    Date & Time: Thursday, May 2, 2013; 12:00 PM
    Speaker: Ben Miller, MIT
    MERL Host: Andrew Knyazev
    Research Area: Algorithms
    Brief
    • Graph theory provides an intuitive mathematical foundation for dealing with relational data, but there are numerous computational challenges in the detection of interesting behavior within small subsets of vertices, especially as the graphs grow larger and the behavior becomes more subtle. This presentation discusses computational considerations of a residuals-based subgraph detection framework, including the implications on inference with recent statistical models. We also present scaling properties, demonstrating analysis of a billion-vertex graph using commodity hardware.
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  •  TALK   Label Propagation over Graphs
    Date & Time: Friday, March 8, 2013; 12:00 PM
    Speaker: Prof. Hiroshi Mamitsuka, Kyoto University
    MERL Host: Andrew Knyazev
    Research Area: Algorithms
    Brief
    • Semi-structured data, particularly graphs, are now abundant in molecular biology. Typical examples are protein-protein interactions, gene regulatory networks, metabolic pathways, etc. To understand cellular mechanisms from this type of data, I've been working on semi-structured data, covering a wide variety of general topics in machine learning or data mining, such as link prediction, graph clustering, frequent subgraph mining, and label propagation over graphs and so on. In this talk I will focus on label propagation, in which nodes are partially labeled and the objective is to predict unknown labels using labels and links. I'll present two approaches under two different inputs in sequence: 1) only single graph and 2) multiple graphs sharing a common node set.

      1) Existing methods extract features, considering either of graph smoothness or discrimination. The proposed method extracts features, considering the both two aspects, as spectral transforms. The obtained features or eigenvectors can be used to generate kernels, leading to multiple kernel learning to solve the label propagation problem efficiently.

      2) Existing methods estimate weights over given graphs, like selecting the most reliable graph. This framework is however unable to consider densely connected subgraphs, which we call locally informative graphs (LIGs). The proposed method first runs spectral graph partitioning over each graph to capture LIGs in eigenvectors and then an existing method of label propagation for multiple graphs is run over the entire eigenvectors.

      I will show empirical advantages of the two proposed methods by using both synthetic and real, biological networks.
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  •  TALK   Robust Preconditioners for a boundary control elliptic problem
    Date & Time: Wednesday, November 7, 2012; 12:00 PM
    Speaker: Prof. Marcus Sarkis, Worcester Polytechnic Institute
    MERL Host: Andrew Knyazev
    Research Area: Algorithms
    Brief
    • We discuss the following problem: Given a target function on a domain, what is the Neumann data on the boundary so that its harmonic extension into the domain is the closest function to the target function in the L2 norm? For convex polygonal domains, we show that regularization is not needed in case the space for the Neumann data is chosen properly. In the second part of the talk we discuss solvers for the associated discrete Hessian which are robust with respect to regularization parameters and mesh sizes.
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  •  TALK   Interesting and unusual forms of autostereo display
    Date & Time: Thursday, December 1, 2011; 11:00 AM
    Speaker: Gregg Favalora, Optics for Hire (OFH)
    MERL Host: Matthew Brand
    Research Area: Algorithms
    Brief
    • I'll give an information-rich survey presentation on "interesting and unusual" forms of autostereo display. It will assume basic knowledge of autostereo, e.g. lenticular and parallax barrier displays [unless, of course, you'd like a few minutes going over the basics.] I will discuss: spatially-multiplexed, time-multiplexed, and multi-projector systems. This includes: non-obvious depth cues, advances in parallax barrier displays, lenticulars, multi-projector / projection onto corrugated screens, scanned illumination, volumetric, and electro-holographic techniques.
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