News & Events

125 were found.


  •  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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  •  AWARD   Fellow of the Society for Industrial and Applied Mathematics (SIAM)
    Date: March 31, 2016
    Awarded to: Andrew Knyazev
    MERL Contact: Andrew Knyazev
    Research Areas: Algorithms, Advanced Control Systems, Decision Optimization, Dynamical Systems, Machine Learning, Predictive Modeling, Wireless Communications & Signal Processing
    Brief
    • Andrew Knyazev selected as a Fellow of the Society for Industrial and Applied Mathematics (SIAM) for contributions to computational mathematics and development of numerical methods for eigenvalue problems.

      Fellowship honors SIAM members who have made outstanding contributions to the fields served by the SIAM. Andrew Knyazev was among a distinguished group of members nominated by peers and selected for the 2016 Class of Fellows.
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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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  •  AWARD   Professor Emeritus University of Colorado Denver
    Date: January 6, 2016
    Awarded to: Andrew Knyazev
    MERL Contact: Andrew Knyazev
    Research Area: Algorithms
    Brief
    • Andrew Knyazev is awarded the title of Professor Emeritus at the University of Colorado Denver effective 1/31/2016. The award letter from the Chancellor of the University of Colorado Denver provides examples of the record of excellence over 20 years of contributions to the university such as 2008 CU Denver Excellence in Research Award, 2000 Teaching Excellence Award for the college, supervision of Ph.D. students, and two decades of uninterrupted external research funding from the US National Science Foundation and Department of Energy.
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  •  NEWS   MERL presented 3 papers at the 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
    Date: December 15, 2015
    Where: 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
    MERL Contacts: Andrew Knyazev; Hassan Mansour; Dong Tian
    Research Areas: Algorithms, Multimedia, Computer Vision, Machine Learning, Electronics & Communications, Wireless Communications & Signal Processing, Digital Video
    Brief
    • MERL researcher Andrew Knyazev gave 3 talks at the 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP). The papers were published in IEEE conference proceedings.
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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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  •  NEWS   MERL researchers attend International Modelica Conference
    Date: September 21, 2015
    MERL Contacts: Scott Bortoff; Daniel Burns; Christopher Laughman
    Research Areas: Mechatronics, Data Analytics, Algorithms
    Brief
    • MERL researchers Scott Bortoff, Dan Burns and Chris Laughman attended the 11th Annual Modelica Conference in Versailles, France. Modelica is a computer language for modelling and simulation of multiphysical systems. There were 421 attendees, with representatives from Toyota, automobile companies, European universities and companies like Dassault. Conference topics included a plenary on cyber-physical systems modelling by Prof. Sangiovanni Vincentelli of UC Berkeley, new libraries for modelling HVAC systems, automobile systems and buildings, and research results for new solvers. An important trend is virtual modelling and simulation of building thermodynamics (scaling up to city districts), automotive systems (autonomous vehicles), and especially Factory Automation: Dassault is investing heavily in this area, focusing on smaller customers, with tools for 3D virtual modelling of assembly lines including machine dynamics (robotics), and in partnerships with Siemens and other European FA companies.
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  •  NEWS   MERL researchers presented 3 papers at the 5th IFAC Nonlinear Model Predictive Control Conference
    Date: September 17, 2015
    MERL Contacts: Stefano Di Cairano; Scott Bortoff; Abraham Goldsmith; Claus Danielson; Andrew Knyazev
    Research Areas: Mechatronics, Algorithms
    Brief
    • MERL researchers presented 3 papers at the 5th IFAC Nonlinear Model Predictive Control Conference. Approximately 150 attendees. Conference topics range from theory (existence, stability), to algorithms (optimization, design), to applications (process control, mechatronics, energy, automotive, aerospace). MERL was an industry sponsor for the conference. MERL researcher co-chaired the Industry Session on Industry perspective on Model Predictive Control. MERL researcher acted as Program Co-chair, organizing the conference program.
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  •  NEWS   MERL researchers presented at the IFAC workshop on control applications of optimization, 2015
    Date: October 6, 2015
    Where: IFAC workshop on control applications of optimization 2015
    MERL Contact: Andrew Knyazev
    Research Areas: Algorithms, Advanced Control Systems, Mechatronics
    Brief
    • MERL researchers Andrew Knyazev and Alexander Malyshev gave two talks at the IFAC workshop on control applications of optimization, 2015. The papers were published by Elsevier B.V. in the conference proceedings.
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  •  NEWS   MERL researchers presented at the IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2015
    Date: September 18, 2015
    Where: IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2015
    MERL Contact: Andrew Knyazev
    Research Areas: Algorithms, Machine Learning, Computer Vision, Electronics & Communications, Multimedia, Wireless Communications & Signal Processing
    Brief
    • MERL researchers A. Knyazev and A. Malyshev gave a talk at the IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2015. The paper was published at the IEEE Xplore conference proceedings.
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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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  •  NEWS   MERL and Mitsubishi Electric researchers presented at the SIAM Conference on Control and Its Applications 2015
    Date: July 13, 2015
    Where: SIAM Conference on Control and Its Applications 2015
    MERL Contact: Andrew Knyazev
    Research Areas: Algorithms, Mechatronics, Advanced Control Systems, Computational Sensing, Multimedia
    Brief
    • MERL and Mitsubishi Electric researchers presented talks at the SIAM Conference on Control and Its Applications 2015. The papers were published by SIAM in the conference proceedings.
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  •  NEWS   MERL presented a paper at ICCS meeting
    Date: June 1, 2015
    Where: International Conference on Computational Science (ICCS)
    MERL Contact: Andrew Knyazev
    Research Areas: Algorithms, Advanced Control Systems, Computer Vision, Machine Learning, Mechatronics
    Brief
    • Andrew Knyazev gave a talk at the International Conference on Computational Science (ICCS), 2015 on Nonsymmetric preconditioning for conjugate gradient and steepest descent methods. The paper was published by Elsevier B.V. in the conference proceedings.
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  •  NEWS   MERL's High-speed optimization algorithms showcased at Mitsubishi Electric Corporation annual R&D Open House
    Date: February 13, 2014
    MERL Contact: Matthew Brand
    Research Areas: Algorithms, Mechatronics, Computer Vision
    Brief
    • Mitsubishi Electric Corporation announced its development of advanced optimization algorithms and high-speed calculation methods aimed at optimizing the performance of three practical systems: laser-processing machines for high-speed cutting of sheet metal using the shortest possible trajectories, moon probes achieved with minimized fuel consumption, and particle beam therapies for prompt medical treatments.
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  •  NEWS   International Journal of Control: publication by Matthew E. Brand, Scott A. Bortoff and Stefano Di Cairano
    Date: July 9, 2013
    Where: International Journal of Control
    MERL Contacts: Stefano Di Cairano; Matthew Brand; Scott Bortoff
    Research Areas: Algorithms, Mechatronics, Advanced Control Systems
    Brief
    • The article "Projection-free Parallel Quadratic Programming for Linear Model predictive Control" by Di Cairano, S., Brand, M. and Bortoff, S.A. was published in International Journal of Control
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  •  NEWS   IEEE Transactions on Information Theory: publication by MERL researchers and others
    Date: June 12, 2013
    Where: IEEE Transactions on Information Theory
    Research Areas: Electronics & Communications, Algorithms, Optical Communications & Devices
    Brief
    • The article "Hierarchical and High-Girth QC LDPC Codes" by Wang, Y., Draper, S.C. and Yedidia, J.S. was published in IEEE Transactions on Information Theory
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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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  •  NEWS   SIAM Journal of Scientific Computing: publication by Andrew Knyazev and others
    Date: March 14, 2013
    Where: SIAM Journal of Scientific Computing
    MERL Contact: Andrew Knyazev
    Research Area: Algorithms
    Brief
    • The article "Absolute Value Preconditioning for Symmetric Indefinite Linear Systems" by Vecharynski, E. and Knyazev, A.V. was published in SIAM Journal of Scientific Computing
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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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