Nov 23: Ha successfully defends his PhD dissertation and receives an unconditional pass from the committee. He will next be joining the National Laboratory of Renewable Energy as a postdoc working with a computational optimization group. Congratulations Dr. Ha!

Aug 23: Vahdat successfully defended her PhD dissertation and will be a data analyst in Liberty Mutual after graduate school. Congratulations Kimia!

Jun 23: Paper “Wake Effect Parameter Calibration with Large-Scale Field Operational Data using Stochastic Optimization” published in Applied Energy! Here are some highlights:

  • Engineering wake models have parameters that crucially affect their performance.
  • Wake parameters can be calibrated as constants or functions of other wind variables.
  • Stochastic optimization (SO) provides accurate and reliable wake calibrations.
  • Both point and functional calibration of wake parameters can be done well with SO.
  • A derivative-free trust-region SO method provides robust wake calibration.
  • Efficiently implemented trust-region SO uses adaptive sampling and variance reduction.
  • Stratifying data based on wind characteristics effectively reduces variance during SO.
  • Choosing strata of wind data and dynamically sampling from each expedites calibration.
  • Robust wake calibration helps understanding power deficit patterns in wind farms.
  • Good prediction of power deficit due to wake enables optimal design of new wind farms.

Jun 23: Pranav Jain unconditionally passes his preliminary doctoral exam. Congratulations Pranav!

May 23: Jain to join National Renewable Energy Laboratory (NREL) as an intern in Summer 2023.

May 23: Paper “Iteration Complexity and Finite-Time Efficiency of Adaptive Sampling Trust-Region Methods for Stochastic Derivative-Free Optimization” is submitted and accessible on arxiv.

Apr 23: Houser wins the ISE Shook Mentor Award

nomination excerpt: “Ethan has gone above and beyond in participating in research activities, helping other students in teaching and learning, and serving the department in any way he finds. He has mentored students in courses he has been assigned as TA to improve the quality of labs and create new material from scratch in response to what he finds to be major hurdles for students. He supports students who may need more help, spending more time than the allocated office hours and maintaining consistent accountability between the instructor and students. In graduate studies, Ethan has helped many students since 2021 including new Ph.D. students with the group and mentored the writing and editing of manuscripts. He also helped other masters and REU students temporarily working with the group with content, data, and coding. In addition, Ethan has participated in professional development activities, such as writing, presentation, and outreach for events like the engineering open house. He does all these things while maintaining excellent academic performance and high quality in the tasks assigned to him.”