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Naresh Nagabushan

Electronics and Communication

Bangalore, India

rnaresh.n@gmail.com

github.com/Naresh1318


Skills

Technical

  • MATLAB
  • PSPICE
  • Cadence Virtuoso
  • NI Multisim
  • Xilinx ISE 9.1

Tools and Libraries

  • Code Composer Studio
  • Arduino Software IDE
  • Scikit-learn
  • Tensorflow
  • OpenCV

Preferred Languages

  • Python
  • C
  • C++


Education

Ramaiah Institute of Technology
2013 - 2017

Bachelor of Engineering (ECE)


Vidya Mandir Ind. Pre University College
2011 - 2013

Pre-University


Projects

Diagnosis Predictor

Predicts chronic diseases using a patients previous history.


ICU Patient Deterioration Prediction

Use artificial neural networks along with various feature selection and extraction algorithms to predict the ICU patient’s mortality.


AI Video artist

Converts a video to a style specified by a painting using the vgg16 network.


Twitter Sentiment Analysis

Analyze the general opinion of a topic among people using the Twitter API and textblob.


Effect of Injected Noise in Deep Neural Networks

Add noise to the operation of a fully connected deep neural network based on the institution from crosstalk in VLSI circuits.


Movie Review Classifier

Classifies a movie as positive or negative based on the re-views written using Logistic Regression.


Publications

Effect of Injected Noise in Deep Neural Networks

Naresh Nagabushan, Nishank Sathish, Raghuram S,” Effect of Injected Noise in DeepNeural Networks,” 2016 IEEE International Conference on Computational Intelligenceand Computing Research (ICCIC).