Biography

Learning new materials and applying them, it has been my passion. I studied Applied Mathematics for my undergraduate, however, due to my interest inoptimization, data analysis, and decision making, I decided to study Industrial Engineering. I ranked 1st among more than 5,800 applicants in the National Graduate Entrance Exam for Socio-Economic Systems Engineering.

After seven years of work experience in strategic planning, project management, forecasting, etc, I quit my job to study Ph.D. at University of Houston. Along with my research which involved optimization, I learned machine learning and deep learning. To help other students, two of my friends and I started a webiste named easy-tensorflow.com and we held several workshops

Publications

Mohammad Najarian and Gino Lim, Design and assessment methodology for system resilience metrics, submitted first revision to Special Issue of Risk Analysis on Resilience Analytics for Cyber-Physical-Social Networks, 2018.

Mohammad Najarian, Gino Lim, and Masoud Barati, Levelized Resiliency Assessment of Interdependent Natural Gas and Electric Power Systems, Proceedings of the 2018 IISE Annual Conference, May 2018.

Mohammad Najarian and Gino Lim, Optimizing Resilience of Cyber-Physical Systems under Budgetary Constraint, working paper.

Conference Presentations

Mohammad Najarian, Gino Lim, and Masoud Barati, Resilience Assessment of Interdependent Gas Network and Electrical Power System Infrastructures: A Quantitative Approach. Informs 2017 INFORMS Annual Meeting.

Mohammad Najarian, Gino Lim, and Masoud Barati, Levelized Resiliency Assessment of Interdependent Natural Gas and Electric Power Systems, Proceedings of the 2018 IISE Annual Conference, May 2018.

Skills

Machine Learning, Optimization, Resilience

“Resilience is all about being able to overcome the unexpected. Sustainability is about survival. The goal of resilience is to thrive. ” — Jamais Cascio

Future Goals

As a Ph.D student I have these goals:

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Improve resilience metrics

The quality of the current resilience metrics are not verified and some of them just reflect few aspect of a resilient system. We are to improve the resilience metrics

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Interdependency

Infrastructures are interdependent and an applied study must consider these interdependencies.

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Apply resilience metric on Power Grid

Power grids are one of the critial infrastructures that must be recovered after an extreme event. Improving the resilience of a power grid requires a metric to measure the state of the resilience.

Get In Touch

  • Department of Industrial Engineering E206 Engineering Bldg 2 4722 Calhoun Rd
  • mnajarian@uh.edu
  • lohrasp.com