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Optimization and Control Group

Veronica Adetola

Veronica Adetola

Pacific Northwest National Laboratory
PO Box 999
Richland, WA 99352

Biography

Veronica Adetola is a Control Systems Scientist with expertise in model predictive control, robust and adaptive control, machine learning for control, dynamical system analysis, and control architecture design. She has more than ten years’ experience in research, development, and demonstration of advanced technology solutions for energy-efficient systems, grid-interactive buildings, transport refrigeration, and aerospace air management systems. Before joining PNNL in 2019, Veronica worked at the United Technologies Research Center where she contributed to and successfully led activities in support of multiple UTC businesses and government-funded research programs.

Research Interests

  • Learning for decision and predictive feedback control
  • Advanced design and control solutions for grid-interactive energy efficient buildings
  • Reliable and cost-effective integration of distributed energy resources into the power grid
  • Resiliency of critical infrastructures
  • Conventional power generation, renewables and energy storage applications

Education and Credentials

  • PhD, Chemical Engineering (Control Systems), Queen’s University, Canada
  • M.Sc., Chemical Engineering (Process Control), Queen’s University, Canada

Affiliations and Professional Service

  • Associate Editor, IEEE Transactions on Control Systems Technology
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
  • Member, American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE)
  • Board of Governor, IEEE Control Systems Society, 2019
  • Associate Editor, IEEE conferences (CDC, ACC), 2012 -2018

Awards and Recognitions

  • ASHRAE Science and Technology for the Built Environment, 2015 Best Paper Award
  • UTRC Outstanding Achievement Award for developing, demonstrating and transitioning model-based controls technologies to UTC businesses, 2013
  • IFAC prize for the Best Methodology/Theory Paper published in the Journal of Process Control for the period 2008-2011, 2012
  • IEEE Kingston Section Research Excellence Award for Doctoral Research, 2008
  • Best session paper, IEEE Conference on Decision and Control, 2006.

Electricity Infrastructure & Buildings Division

Optimization and Control Group

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509/375-5904