Integrated Search Menu

Gautam Dasarathy

Asst Professor
Faculty, TEMPE Campus, Mailcode 5706
Biography: 

Gautam Dasarathy is an assistant professor in the School of Electrical, Computer and Energy Engineering at the Arizona State University. Before this, he was a postdoctoral fellow in the Electrical and Computer Engineering Department at Rice University where he worked with Rich Baraniuk. And prior to that, Dasarathy was at the Machine Learning Department at Carnegie Mellon University where he worked with Aarti Singh

Dasarathy received his master's degree and doctorate in electrical engineering in 2010 and 2014, respectively, from the University of Wisconsin-Madison, where he was advised by Rob Nowak and Stark Draper. Before that, he received his bachelor's degree in electronics and communication engineering in 2008 from VIT University.

His research interests span topics in machine learning, statistics, signal processing and networked systems, and information theory.

Education: 
  • Ph.D. Electrical Engineering, University of Wisconsin-Madison 2014
  • M.S. Electrical Engineering, University of Wisconsin-Madison 2010
  • B.Tech. Electronics and Communication Engineering, VIT University, India 2008
Research Interests: 

My research interests span topics in Machine Learning, Statistics, Signal Processing, and Networked Systems, and Information Theory.

Summer 2020
Course NumberCourse Title
EEE 590Reading and Conference
EEE 592Research
EEE 595Continuing Registration
CEN 595Continuing Registration
EEE 599Thesis
EEE 690Reading and Conference
EEE 790Reading and Conference
EEE 792Research
EEE 795Continuing Registration
EEE 799Dissertation
Fall 2019
Course NumberCourse Title
EEE 492Honors Directed Study
EEE 493Honors Thesis
EEE 499Individualized Instruction
CEN 580Practicum
EEE 590Reading and Conference
EEE 592Research
EEE 595Continuing Registration
EEE 598Special Topics
EEE 599Thesis
CEN 599Thesis
EEE 690Reading and Conference
EEE 790Reading and Conference
EEE 792Research
EEE 795Continuing Registration
EEE 799Dissertation
Spring 2019
Course NumberCourse Title
EEE 598Special Topics
Fall 2018
Course NumberCourse Title
EEE 350Random Signal Analysis