Erick Jones

Erick Jones

PhD Candidate

University of Texas


Erick Jones is a Ph.D. candidate in Operations Research and Industrial Engineering. He received a B.S. in Chemical Engineering with a minor in Petroleum Engineering from Texas A&M University. As an undergraduate, Erick researched growth mechanisms of single-walled carbon nanotubes. From there, he went to Houston and spent several years working in the design, manufacturing, oil and gas, and HVAC industries. During this time, he traveled around the world and witnessed how basic infrastructure like electricity, HVAC systems, clean water, internet, and banking where lacking and dramatically affected quality of life for the majority of the world’s population. These experiences motivated Erick to pursue research that can enhance quality of life by improving access to sustainable resources, particularly where a lack of physical infrastructure or economic resources presents a major obstacle.

In his research, Erick develops multi-systems optimization models to analyze how energy systems, water resources, supply chains, urban space, and transportation networks operate in concert to influence economic and environmental well-being. He has worked with the Texas Energy Poverty Research Institute, Los Alamos National Labs, the Energy Institute, and the Houston Health and Human Services. Erick also participates in education and outreach activities like the Planet Texas 2050 initiative and Science in Residence, which encourages K-12 students to think about climate change and other STEM issues.

Erick wants to create or participate in a lab that explores how multiple physical and social infrastructure systems can be designed and operated in concert. This lab would need equipment that could collect data from these systems such as advanced meters and IoT sensors, equipment that could receive and transmit this information such as 5G, and equipment to simulate these systems like conveyor systems and distributed energy and water technologies. Labs like the Pecan Street Labs in Austin, the RAID Labs at the University of Texas at Arlington, and the ARIES Labs at NREL provide guidance and inspiration for this lab.

The lab would need people with an understanding of modern data collection with cutting edge technologies, modeling techniques, and operations theory. Erick plans to provide instruction in systems modeling, systems engineering, and data collection, analysis, and visualization. Furthermore, he is able to provide a theoretical background on optimization and simulation techniques, supply chains and logistics, and production and inventory control.


  • Multi-System Optimization
  • Aligning Intermittant Generation and Flexbile Loads
  • Emerging Technologies
  • Systems of Systems
  • Food, Energy, Water, Systems
  • Supply Chains
  • Modern Manufacturing
  • Energy Poverty
  • Simulation
  • Carbon Capture and Sequestration
  • Climate Change


  • PhD in Operations Research and Industrial Engineering, 2021

    University of Texas

  • MS in Operations Research and Industrial Engineering, 2019

    University of Texas

  • BS in Chemical Engineering, 2014

    Texas A&M University




Los Alamos National Labs

Jun 2020 – Aug 2020
Lead by Dr. Richard Middleton, creator of SimCCS and funded by the Department of Energy’s Mickey Leland Energy Fellowship (MLEF) I helped develop a temporal the SimCCS optimization framework and use it to analyze the 45Q credits. .

Visting Researcher

RAID Labs University of Texas at Arlington

May 2020 – Sep 2020
Recruited to help develop the grant proposal and perform research and studies for the now funded project EAGER: AI-Enabled Optimization of the COVID-19 Therapeutics Supply Chain to Support


Texas Energy Poverty Research Institute

Feb 2020 – Present
Helped advance The mission of the Texas Energy Poverty Research Institute (TEPRI) which is to inspire lasting energy solutions for low-income communities across Texas by working with teams of experts to conduct research, build evidence, create tools, and partner with local jurisdictions to pilot and test new practices that can scale through effective networks. Our efforts aim to improve the systems that are needed to enable sustainable energy solutions to reach underserved communities so that their benefits may flow to those most in need.


University of Texas

Aug 2017 – Present

Advised by Dr. Benjamin Leibowicz and supported by the National Science Foundation’s National Research Trainee Program for Innovations in Food, Energy, and Water Systems (NSF NRT InFEWS), I have performed research in a variety of areas to support my varying research interests and to write and publish my dissertation titled:

Multi-Systems Optimization: Intermittent Production, Flexible Demand, Emerging Technologies


Community Solar for Low-Income Households in the Competitive Market

Looking for ways to integrate Community Solar for Low-Income Households in the Competitive Market

EAGER AI-Enabled Optimization of the COVID-19 Therapeutics Supply Chain to Support Community Public Health

This EAGER award supports fundamental research in technology-enabled supply chain design to effectively deliver therapeutics to at risk populations in an urban setting.

Science in Residence and Planet Texas

A program to introduce K-12 to the joys of science

SimCCS 2.0 Temporal Modfications and 45Q Credits

Updating SimCCS to vary with time and investigate thr 45Q credits