Fatemeh Arbabjolfaei

I am a Lecturer at the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. I was a postdoctoral scholar at the Ming Hsieh Department of Electrical Engineering at the University of Southern California, hosted by Prof. Salman Avestimehr. I obtained my Ph.D. in Electrical Engineering (Communication Theory & Systems) from University of California, San Diego in 2017, under the advisory of Prof. Young-Han Kim. I received my B.Sc. and M.Sc. in Electrical Engineering from Isfahan University of Technology, Isfahan, Iran, in 2007 and 2010, respectively.

Google scholar profile

Email: f.arbabjolfaei@gmail.com

Fundamentals of index coding was published in October 2018. It is available at Now Publishers and Amazon.

The index coding problem provides a simple yet rich model for several important engineering tasks such as satellite communication, content broadcasting, distributed caching, device-to-device relaying, and interference management. This monograph provides a broad overview of this fascinating subject, focusing on the simplest form of multiple-unicast index coding.

The main objective in studying the index coding problem are to characterize the capacity region for a general index coding instance in a computable expression and to develop the coding scheme that can achieve it. Despite their simplicity, these two closely related questions are extremely difficult and precise answers to them, after twenty years of vigorous investigation, are still in terra incognita. There are, nonetheless, many elegant results that shed light on the fundamental challenges in multiple-unicast network communication and expose intriguing interplay between coding theory, graph theory, and information theory. This monograph contains a concise survey of these results in a unified framework. It further discusses the relation to Network Coding and Distributed Storage.

Fundamentals of Index Coding gives the reader a concise, yet comprehensive, overview of the work undertaken on this important topic; its relationship to adjacent areas and lays the groundwork for future research. It is a valuable starting point for all researchers and students in Information Theory.


Advisor: Prof. Young-Han Kim

PhD dissertation: Index Coding: Fundamental Limits, Coding Schemes, and Structural Properties

Advisor: Prof. Mohammad A. Khosravifard

Master’s thesis: The Optimal Fountain Code

Advisor: Prof. Saeid Sadri

Final project: Implementation of DCT-based adaptive video compression in a CoreConnect system attached to a MicroBlaze

Industry Experience

  • Internship, Samsung, Mobile solutions lab, San Diego, CA, Summer 2013
  • Internship, EPRAD company, Isfahan, Iran, Summer 2006