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Aerospace & Defense Workshops Bios

 

Welcome to GSI Technology's Aerospace and Defense Workshops!

 

During these two informative half-day seminars, attendees will learn best-in-class information on AI, RADAR apps, and other features to accelerate your efforts provided by the Leda PCIe Boards and the Gemini® chip.

 

When:
February 16th & February 23rd
Where:
GSI Technology Zoom Webinar

 

 

Agenda Panelist Bios Blog Links

 

 

Paul Armijo

 

Paul Armijo, Director of Aerospace and Defense Business Sector

  • Over 20 years of experience in the aerospace and defense industry
  • Lead numerous flagship programs and technology development efforts over his career to further enable the space community
  • Previously with Cobham, General Dynamics Mission Systems, Ball Aerospace, Northrop Grumman Space Systems, and Freescale Semiconductor
  • B.S. in Electrical Engineering from the Arizona State University
George Williams

 

George Williams, Director of Associative Computing and Data Science

  • Over 20 years of experience in leadership roles in software, data science, and research
  • Thought leader on a broad range of topics, including e-commerce, machine learning, software development, and cloud security
  • Previously with Apple and New York University's Courant Institute
  • Author on several research papers in computer vision and deep learning, published at NIPS, CVPR, ICASSP, and SIGGRAPH
Dan Ilan

 

Dan Ilan, Director of System Architecture

  • 20 years of experience in the semiconductor industry
  • Architected NAS and Network Processor SoCs
  • Previously with Marvell and Freescale Semiconductors
  • B.S. in Physics and Mathematics from the Hebrew University Of Jerusalem
  • M.S. in Physics from the Weizmann Institute of Science
Bob Haig

 

Bob Haig, Product Definition and Architecture Manager

  • 30 years of experience in the semiconductor industry
  • Designed and architected several generations of high-speed SRAMs
  • Previously with Sony and IBM
  • B.S. in Computer Engineering from the University of Michigan

     
Daphna Idelson

 

Daphna Idelson, Lead AI Scientist

  • 16 years of experience in computer vision and machine learning algorithms
  • Extensive industry experience in specialized video processing, deep learning algorithms, convolutional networks, distance metric learning, and large-scale similarity search among other AI areas
  • Previously worked at Neomagic, Nice Systems, and Pixellot
  • B.Sc. in Computer Engineering from the Technion Institute of Technology
  • Latest achievements include 1st place finish in a Radar Classification Challenge hosted by the Israeli Ministry of Defense and presenting a novel representation-learning method at the BayLearn Symposium
Brian Beckman

 

Brian Beckman, Technology Fellow

  • Decades of experience in simulation, scientific data processing, and formal specification (TLA+, Yakindu, in-house frameworks for exhaustive and stochastic testing)
  • Co-leader of design of LINQ primitives for time-based complex-event processing
  • Developed several innovative programming languages
  • Previously with JPL, Microsoft, and Amazon
  • Ph.D. in Astrophysics from Princeton University
     

 


 

Elona Erez

 

Elona Erez, Senior Algorithm Researcher

  • Over a decade of experience in information theory and algorithm research
  • Previously with Samsung Electronics
  • Postdoctoral scholar at California Institute of Technology (2007-2008)
  • Postdoctoral associate at Yale University (2008-2011)
  • Ph.D. in Electrical Engineering from Tel Aviv University
Avidan Akerib

 

Dr. Avidan Akerib, Vice President of Associative Computing Business Unit

  • 30 years of experience in parallel computing and In-Place Associative Computing
  • Previously with MikaMonu Group Ltd. (Cofounder and CTO), ZikBit Ltd. (Cofounder and CTO), Associative Computing Ltd. (Cofounder and President), Neomagic, and Defense Industries
  • Over 50 granted patents related to parallel and In-Memory Associative Computing
  • Ph.D. in Applied Mathematics and Computer Science from the Weizmann Institute of Science
  • M.Sc. from Tel Aviv University
  • B.Sc. from Ben Gurion University