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Victor Zavala

Victor Zavala Tejeda

Baldovin-DaPra Professor
gscholar website
lab website

Victor M. Zavala is the Baldovin-DaPra Professor in the Department of Chemical and Biological Engineering at the University of Wisconsin-Madison and a senior computational mathematician in the Mathematics and Computer Science Division at Argonne National Laboratory. He holds a B.Sc. degree from Universidad Iberoamericana and a Ph.D. degree from Carnegie Mellon University, both in chemical engineering. He is a recipient of NSF and DOE Early Career awards and of the Presidential Early Career Award for Scientists and Engineers (PECASE). His research interests include statistics, control, and optimization and applications to energy and environmental systems.

Department

Chemical & Biological Engineering

Contact

2012, Engineering Hall
1415 Engineering Dr
Madison, WI
p: (608) 262-6934

  • PhD 2008, Carnegie Mellon University
  • BS 2003, Universidad Iberoamericana

  • Control, Optimization, Data Science
  • Energy and Environmental Systems

Affiliated Departments

  • 2024 University of Wisconsin-Madison, Harvey Spangler Award for Innovative Teaching and Learning Practice
  • 2023 University of Wisconsin-Madison , Vilas Mid-Career Award
  • 2023 LatinX in ChemE, Keynote Speaker
  • 2023 University of California-Santa Barbara, Mellichamp Lecture
  • 2023 Mathematical Programming Computation, Outstanding Paper Award
  • 2023 Notre Dame University, Thiele Lecture
  • 2022 University of Wisconsin-Madison, H.I. Romnes Faculty Fellowship
  • 2022 AMIDIQ, Plenary Speaker
  • 2021 Purdue University, Mellichamp Lecturer
  • 2020 Computers and Chemical Engineering, Best Paper Award
  • 2019 AIChE, AIChE CAST Young Investigator Award
  • 2019 PECASE, Presidential Early Career Award for Scientists and Engineers
  • 2019 University of Wisconsin-Madison, Vilas Associate Fellowship
  • 2018 University of Wisconsin-Madison, Baldovin-DaPra Professorship
  • 2018 American Chemical Society, American Chemical Society, Class of Influential Researchers
  • 2018 National Academy of Engineering, National Academy of Engineering, Frontiers of Engineering
  • 2018 National Science Foundation, National Science Foundation Early Career Award
  • 2016 University of Wisconsin-Madison, Vilas Faculty Early Career Investigator Award
  • 2015 University of Wisconsin-Madison, Richard H. Soit
  • 2015 9th International Symposium on Advanced Control of Chemical Processes, Invited Keynote Speaker
  • 2014 5th Workshop on Scientic Cloud Computing (ScienceCloud), Best Paper Award
  • 2012 Department of Energy, Early Career Award
  • 2008 Argonne National Laboratory, Director's Postdoctoral Fellowship
  • 2008 Humboldt Foundation, Humboldt Fellowship (not realized) (Nominated)
  • 2008 International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control, Invited Keynote Speaker
  • 2007 IEEE Workshop on Advanced Process Control Applications for Industry, Best Paper Award
  • 2007 8th International Symposium on Dynamics and Control of Process Systems, Invited Keynote Speaker

  • Li, H., Aguirre-Villegas, H. A., Allen, R. D., Bai, X., Benson, C. H., Beckham, G. T., Bradshaw, S. L., Brown, J. L., Brown, R. C., Cecon, V. S., & others, (2022). Expanding plastics recycling technologies: chemical aspects, technology status and challenges. Green Chemistry, 24(23), 8899--9002.
  • Smith, A., Keane, A., Dumesic, J. A., Huber, G. W., & Zavala, V. M. (2020). A machine learning framework for the analysis and prediction of catalytic activity from experimental data. Applied Catalysis B: Environmental, 263, 118257.
  • Nicholson, B., Siirola, J. D., Watson, J., Zavala, V. M., & Biegler, L. T. (2018). pyomo. dae: A modeling and automatic discretization framework for optimization with differential and algebraic equations. Mathematical Programming Computation, 10, 187--223.
  • Dowling, A. W., Kumar, R., & Zavala, V. M. (2017). A multi-scale optimization framework for electricity market participation. Applied Energy, 190, 147--164.
  • Zavala, V. M., Kim, K., Anitescu, M., & Birge, J. (2017). A stochastic electricity market clearing formulation with consistent pricing properties. Operations Research, 65(3), 557--576.
  • Dowling, A. W., Zheng, T., & Zavala, V. M. (2017). Economic assessment of concentrated solar power technologies: A review. Renewable and Sustainable Energy Reviews, 72, 1019--1032.
  • Gangammanavar, H., Sen, S., & Zavala, V. M. (2015). Stochastic optimization of sub-hourly economic dispatch with wind energy. IEEE Transactions on Power Systems, 31(2), 949--959.
  • Zavala Tejeda, V. (2014). Stochastic optimal control model for natural gas networks. Computers & Chemical Engineering, 64, 103--113.
  • Zavala, V. M. (2013). Real-time optimization strategies for building systems. Industrial & Engineering Chemistry Research, 52(9), 3137--3150.
  • Heo, Y., & Zavala, V. M. (2012). Gaussian process modeling for measurement and verification of building energy savings. Energy and Buildings, 53, 7--18.

  • CBE 562 - Special Topics in Chemical Engineering (Spring 2025)
  • CBE 599 - Special Problems (Spring 2025)
  • CBE 890 - Pre-Dissertator's Research (Spring 2025)
  • CBE 990 - Thesis-Research (Spring 2025)
  • CHEM 990 - Research (Spring 2025)
  • CBE 599 - Special Problems (Fall 2024)
  • CBE 660 - Intermediate Problems in Chemical Engineering (Fall 2024)
  • CBE 890 - Pre-Dissertator's Research (Fall 2024)
  • CBE 990 - Thesis-Research (Fall 2024)
  • CHEM 990 - Research (Fall 2024)
  • CBE 890 - Pre-Dissertator's Research (Summer 2024)
  • CBE 990 - Thesis-Research (Summer 2024)
  • CHEM 990 - Research (Summer 2024)
  • CBE 489 - Honors in Research (Spring 2024)
  • CBE 562 - Special Topics in Chemical Engineering (Spring 2024)
  • CBE 599 - Special Problems (Spring 2024)
  • CBE 699 - Advanced Independent Studies (Spring 2024)
  • CBE 890 - Pre-Dissertator's Research (Spring 2024)
  • CBE 990 - Thesis-Research (Spring 2024)
  • CBE 489 - Honors in Research (Fall 2023)
  • CBE 562 - Special Topics in Chemical Engineering (Fall 2023)
  • CBE 599 - Special Problems (Fall 2023)
  • CBE 890 - Pre-Dissertator's Research (Fall 2023)
  • CBE 990 - Thesis-Research (Fall 2023)
  • CBE 599 - Special Problems (Summer 2023)
  • CBE 890 - Pre-Dissertator's Research (Summer 2023)
  • CBE 990 - Thesis-Research (Summer 2023)