Rajath Bindiganavile
Research Assistant at University of Utah- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
Topline Score
Bio
Experience
-
University of Utah
-
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.
-
-
-
Analog Bits
-
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.
-
-
-
University of Utah
-
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.
-
-
-
onsemi
-
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).
-
-
-
ISRO - Indian Space Research Organization
-
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.
-
-
-
Bharat Sanchar Nigam Limited
-
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 -
University of Utah
Master's degree, Integrated Circuit Design -
Sir M Visvesvaraya Institute of Technology, BANGALORE
Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering