Abraham Goldsmith

Abraham Goldsmith
  • Biography

    Bram spent the first five years of his career in the hard disk drive industry. In graduate school he focused on computer architecture and developed a system for reconstructing 3D ultrasound images from 2D image sequences. Since joining MERL, Bram has worked in areas ranging from wireless sensor networks, optical metrology, NC machines, and control. Recently, he has focused primarily on the computational aspects of advanced control algorithms for embedded control systems and design automation for embedded systems. In addition to research, he likes to keep his EE skills sharp by designing and building instrumentation for his and others' experiments, and he can often be found in the machine shop running the CNC mill or the lathe.

  • News & Events

    •  TALK   Advances in Accelerated Computing
      Date & Time: Friday, February 2, 2018; 12:00
      Speaker: Dr. David Kaeli, Northeastern University
      MERL Host: Abraham Goldsmith
      Research Areas: Control, Optimization, Machine Learning, Speech & Audio
      • GPU computing is alive and well! The GPU has allowed researchers to overcome a number of computational barriers in important problem domains. But still, there remain challenges to use a GPU to target more general purpose applications. GPUs achieve impressive speedups when compared to CPUs, since GPUs have a large number of compute cores and high memory bandwidth. Recent GPU performance is approaching 10 teraflops of single precision performance on a single device. In this talk we will discuss current trends with GPUs, including some advanced features that allow them exploit multi-context grains of parallelism. Further, we consider how GPUs can be treated as cloud-based resources, enabling a GPU-enabled server to deliver HPC cloud services by leveraging virtualization and collaborative filtering. Finally, we argue for for new heterogeneous workloads and discuss the role of the Heterogeneous Systems Architecture (HSA), a standard that further supports integration of the CPU and GPU into a common framework. We present a new class of benchmarks specifically tailored to evaluate the benefits of features supported in the new HSA programming model.
    •  NEWS   MERL researchers presented 11 papers at ACC 2017 (American Controls Conference)
      Date: May 24, 2017 - May 26, 2017
      MERL Contacts: Mouhacine Benosman; Daniel Burns; Claus Danielson; Stefano Di Cairano; Abraham Goldsmith; Uros Kalabic; Saleh Nabi; Daniel Nikovski; Arvind Raghunathan; Yebin Wang
      Research Areas: Control, Dynamical Systems, Machine Learning
      • Talks were presented by members of several groups at MERL and covered a wide range of topics:
        - Similarity-Based Vehicle-Motion Prediction
        - Transfer Operator Based Approach for Optimal Stabilization of Stochastic Systems
        - Extended command governors for constraint enforcement in dual stage processing machines
        - Cooperative Optimal Output Regulation of Multi-Agent Systems Using Adaptive Dynamic Programming
        - Deep Reinforcement Learning for Partial Differential Equation Control
        - Indirect Adaptive MPC for Output Tracking of Uncertain Linear Polytopic Systems
        - Constraint Satisfaction for Switched Linear Systems with Restricted Dwell-Time
        - Path Planning and Integrated Collision Avoidance for Autonomous Vehicles
        - Least Squares Dynamics in Newton-Krylov Model Predictive Control
        - A Neuro-Adaptive Architecture for Extremum Seeking Control Using Hybrid Learning Dynamics
        - Robust POD Model Stabilization for the 3D Boussinesq Equations Based on Lyapunov Theory and Extremum Seeking

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  • MERL Publications

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  • Videos

  • MERL Issued Patents

    • Title: "System and Method for Explicit Model Predictive Control"
      Inventors: Goldsmith, Abraham M.; Di Cairano, Stefano
      Patent No.: 9,766,601
      Issue Date: Sep 19, 2017
    • Title: "Control of Processing Machines with Redundant Actuators"
      Inventors: Di Cairano, Stefano; Goldsmith, Abraham M.; Bortoff, Scott A.
      Patent No.: 9,744,620
      Issue Date: Aug 29, 2017
    • Title: "System and Method for Calibrating Laser Processing Machines"
      Inventors: Shilpiekandula, Vijay; Bortoff, Scott A.; Goldsmith, Abraham M.
      Patent No.: 9,718,146
      Issue Date: Aug 1, 2017
    • Title: "System and Method for Calibrating Laser Cutting Machines"
      Inventors: Goldsmith, Abraham M.; Yerazunis, William S.
      Patent No.: 8,938,317
      Issue Date: Jan 20, 2015
    • Title: "Laser Cutting Machine"
      Inventors: Yerazunis, William S.; Barnwell, III, John C.; Bortoff, Scott A.; Shilpiekandula, Vijay; Goldsmith, Abraham M.
      Patent No.: 8,921,734
      Issue Date: Dec 30, 2014
    • Title: "Active Badge Localization Using Passive Sensors"
      Inventors: Ivanov, Yuri A.; Goldsmith, Abraham M.; Wren, Christopher R.
      Patent No.: 8,284,026
      Issue Date: Oct 9, 2012
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