Daniel Axelrud

Senior Advanced Process Control & Optimization Engineer | Industrial Data Science at Rockwell Automation

Role
Senior Advanced Process Control & Optimization Engineer - Industrial Data Science at Rockwell Automation
Location
Austin, TX, US
LinkedIn followers
500 followers

About Daniel Axelrud

Chemical Engineer with a proven track record of success in advanced process control and optimization, utilizing technologies in the fields of MPC and AI/ML to optimize performance, reduce costs, and increase efficiency for top companies in the polymer, chemical, refining, and consumer packaged goods industries. As an Advanced Process Control & Optimization Engineer, I bring my chemical engineering education, process knowledge, and expertise as a Model Predictive Control (MPC) practitioner to various industrial projects, providing expert guidance and delivering results. I strive to stay current with the latest AI/ML technologies and how they can and cannot be applied in the industrial space. This knowledge allows me to design and implement innovative solutions that drive performance and efficiency, while my process and control knowledge ensures that the solutions are safe, reliable, and sustainable.Currently responsible for technical oversight and delivery of MPC engineering to the Polymer, Chemical, and Food & Beverage industries in the Americas.Specialties:Nonlinear Model Predictive Control (NMPC)- Neural, Physics-Based, and HybridLinear Model Predictive Control (MPC)Dynamic Process ModelingDynamic Process OptimizationNonlinear and Linear System IdentificationSoft Sensor Design and ImplementationDistributed Control System (DCS) and Programmable Logic Controller (PLC) programming

Experience

  1. Senior Advanced Process Control & Optimization Engineer - Industrial Data Science

    Rockwell Automation

    Apr 2018 — Present · Austin, TX, US

    Senior APC Engineer, in the Industrial Data Science Solutions Group, responsible for custom end-to-end development and deployment of Nonlinear and Linear Model Predictive Control (MPC), AI/ML, and dynamic optimization for advanced control applications in industrial processes. Currently responsible for technical oversight and delivery of MPC engineering to the Polymer, Chemical, and Food & Beverage industries in the Americas.

Education

  • The University of Texas at Austin

    Bachelor’s Degree, Chemical Engineering

    2011 — 2015

Skills

  • Automation
  • Engineering
  • Matlab
  • Rslogix
  • Microsoft Office
  • Advanced Process Control
  • Process Automation
  • Music
  • Process Optimization
  • Process Simulation
  • Modeling
  • Chemical Engineering
  • Emerson Deltav
  • Process Engineering
  • Python
  • Refinery Operations
  • Pavilion8 Mpc
  • Mathematica
  • Teamwork
  • Aspen Plus
  • Maple
  • Plc
  • Control Systems Design
  • P&Id
  • Process Troubleshooting
  • Troubleshooting
  • Machine Learning
  • Process Control
  • Dcs

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Daniel Axelrud — Senior Advanced Process Control & Optimization Engineer - Industrial Data Science at Rockwell Automation in Austin, TX, US | Unifers