Home

Associate Professor

Arizona State University

Email: okosut at asu dot edu

Office: GWC 454

Prospective Graduate Students

I am always looking for graduate students with strong mathematical backgrounds hoping to bring fundamental theory to bear on important applications. Contact me if interested.

Biography

Oliver Kosut received B.S. degrees in Electrical Engineering and Mathematics from MIT in 2004. He received a Ph.D. from Cornell University in 2010, with advisor Professor Lang Tong. From August 2010 to August 2012 he was a post-doc at MIT. He joined Arizona State University in August 2012 , where he has been an Associate Professor since 2018. He received the NSF CAREER award in 2015. His research interests include information theory and other things that he pretends are information theory, including machine learning and power systems. He enjoys puzzles, juggling, and writing about himself in the third person.

Teaching

• EEE 202 Circuits I: Fall 2019

• EEE 203 Signals and Systems I: Spring 2013, Spring 2019, Spring 2021

• EEE 304 Signals and Systems II: Fall 2012, Fall 2014, Fall 2015, Fall 2017

• EEE 350 Random Signal Analysis: Fall 2021, Fall 2023

• EEE 551 Information Theory: Fall 2013, Spring 2015, Spring 2016, Spring 2022, Spring 2024

• EEE 553 Coding and Applications: Fall 2022

• EEE 554 Random Signal Theory: Spring 2018, Fall 2018, Fall 2020

• EEE 598 Network Information Theory: Spring 2014, Spring 2017

• EEE 598 Advanced Probability Theory: Spring 2023

Graduate Students

Current

• Obai Bahwal (PhD)

• Atefeh Gilani (PhD)

Former

• Nima Bazargani (PhD)

• Andrea Pinceti (PhD)

• Jingwen Liang (M.S.)

• Zhigang Chu (PhD)

• Fatemeh Hosseinigoki (PhD)

• Nematollah Iri (PhD)

• Kousha Kalantari (PhD)

• Roozbeh Khodadadeh (M.S.)

Postdocs

Current

• Joel Mathias

• Rajasekhar Anguluri

• Mayank Bakshi

Former

• Gowtham Rahunath Kurri

• Fei Wei

• Allison Beemer

• Jiachun Liao