Farid Alborzi

Advisor: Drs. Yahya Fathi, Rada Chirkova and Jon Doyle

Systems Analysis and Optimization

Education

Expected Graduation

Fall 2016

MSIE 2012

Master of Science in Industrial Engineering

Amirkabir University of Technology

BSIE 2009

Bachelor of Science in Industrial Engineering

Amirkabir University of Technology

Research Description

Farid's research focuses on data readiness level (DRL) which is a quantitative measure of the value of the quality of a piece of data at a given point in a processing flow. As such, the DRL represents a paradigm shift from the qualitative nature of traditional exploratory data analysis towards a rigorous metrics-based assessment of the quality of data in various states of readiness. The intuition for DRL is the distance between the information that can be extracted from the given data for the given task, and the information content required by the task.