Prasanna Madhusudhanan

Senior Staff System Engineer at Qualcomm

Role
Senior Staff System Engineer at 高通
Location
San Diego, CA, US
LinkedIn followers
500 followers

About Prasanna Madhusudhanan

Sr. Staff Systems Engineer at Qualcomm Inc- Ph.D. in the Communications and Signal Processing group in Electrical Engineering department at the University of Colorado at Boulder- Doctoral research focuses on developing mathematical models based on stochastic geometry to study the downlink and uplink performances of state-of-the-art wireless communication systems- Also conducted research in non-linear dynamical system modeling applied to Saturn\'s rings- Research activities have led to 11 conference papers (1 invited paper) as well as 7 journal papers (including to be submitted).Academic training focuses on Probability, Stochastic Processes, Stochastic Geometry, Mathematical Statistics, Information theory, Digital Communications and Signal Processing.Industry experience as a Systems Intern at Broadcom in 10G Base-T Ethernet Group.Programming Experience in Matlab, Mathematica and C.

Experience

  1. Senior Staff System Engineer

    高通

    Nov 2021 — Present

Education

  • Visvesvaraya Technological University

    Bachelor of Engineering (B.E.), Telecommunication Engineering

    2002 — 2006

  • University of Colorado at Boulder

    Master of Science (M.S.), DSP/ Wireless Communications

    2007 — 2010

  • University of Colorado Boulder

    Doctor of Philosophy (Ph.D.), DSP/ Wireless Communications

    2010 — 2013

Skills

  • Labview
  • Wireless
  • Physics
  • Embedded Systems
  • Information Theory
  • Wimax
  • Image Processing
  • Signal Processing
  • Mathematica
  • Simulink
  • Pattern Recognition
  • Digital Signal Processing
  • Systems Engineering
  • Digital Signal Processors
  • Stochastic Modeling
  • Applied Mathematics
  • Linux
  • Algorithms
  • Python
  • Latex
  • Electrical Engineering
  • Antennas
  • C
  • Programming
  • Optimization
  • Mathematical Modeling
  • Matlab
  • C++
  • Machine Learning
  • Computer Science
  • Monte Carlo Simulation
  • Simulations

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