Rajath Bindiganavile

Research Assistant at University of Utah
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Contact Information
us****@****om
(386) 825-5501
Location
US

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Experience

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Sep 2018 - Present

      Completed 2 generations of Low Phase Noise mmWave PLL designs incorporating bandwidth extension techniques for VCO noise clean-up synthesizing. Completed 2 generations of Low Phase Noise mmWave PLL designs incorporating bandwidth extension techniques for VCO noise clean-up synthesizing.

    • United States
    • Semiconductor Manufacturing
    • 1 - 100 Employee
    • Circuit Design Intern
      • Sep 2022 - Feb 2023

      Feasibility study and design of Ultra-High-Speed SAR-based TI-ADC for next-generation SerDes incorporating support for PAM-4 signaling in advanced FinFet technology. Feasibility study and design of Ultra-High-Speed SAR-based TI-ADC for next-generation SerDes incorporating support for PAM-4 signaling in advanced FinFet technology.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Teaching Assistant
      • Jan 2018 - May 2018

      Teaching Undergraduate students to perform lab activities of Digital System Design. Teaching Undergraduate students to perform lab activities of Digital System Design.

    • United States
    • Semiconductors
    • 700 & Above Employee
    • Analog Design Intern
      • May 2017 - Aug 2017

      Design of a high accuracy oscillator and characterization of various cells (ADC, Voltage regulator, OTA, etc). Design of a high accuracy oscillator and characterization of various cells (ADC, Voltage regulator, OTA, etc).

    • India
    • Defense and Space Manufacturing
    • 700 & Above Employee
    • Project Intern
      • Jan 2016 - May 2016

      Designed of an Automatic Modulation Detection tool using Artificial neural networks Matlab and implemented same without ANN on an FPGA using Verilog. Achieved an accuracy of 99.4% while detecting over 11 different modulation schemes with signals having SNR as low as -11db. Designed of an Automatic Modulation Detection tool using Artificial neural networks Matlab and implemented same without ANN on an FPGA using Verilog. Achieved an accuracy of 99.4% while detecting over 11 different modulation schemes with signals having SNR as low as -11db.

    • Telecommunications
    • 700 & Above Employee
    • Trainee
      • Jan 2015 - Jan 2015

      Trained in basics of the protocols used in modern communication systems. Trained in basics of the protocols used in modern communication systems.

Education

  • University of Utah
    Doctor of Philosophy - PhD, Electrical and Computer Engineering
    2019 - 2022
  • University of Utah
    Master's degree, Integrated Circuit Design
    2016 - 2018
  • Sir M Visvesvaraya Institute of Technology, BANGALORE
    Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering
    2012 - 2016

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