Conference Publications

Cortés-Peña, Y. R., & Zavala, V. M. (2025). Phenomena-Based Graph Representations and Applications to Chemical Process Simulation. In Proceedings of ESCAPE-35. [doi] [preprint]

Munguía-López, A. C., Zhou, P., Ikegwu, U. M., Van Lehn, R. C., & Zavala, V. M. (2024). A Fast Computational Framework for the Design of Solvent-Based Plastic Recycling Processes. In Proceedings of FOCAPD 2024. [doi] [preprint]

Thompson, J., MacKinnon, L., Venturelli, O. S., & Zavala, V. M. (2024). A Parametric Bayesian Optimization Framework for Batch Dynamical Systems. In 2024 American Control Conference (ACC), 4333–4338. [doi]

Lopez, B. R., & Zavala, V. M. (2024). Analysis of Chemical Engineering Curricula Using Graph Theory. In Proceedings of FOCAPD 2024. [doi]

Erickson, E. D., Ma, J., Tominac, P. A., Aguirre-Villegas, H. A., & Zavala, V. M. (2024). Analysis of Infrastructures for Processing Plastic Waste using Pyrolysis-Based Chemical Upcycling Pathways. In Proceedings of FOCAPD 2024. [doi]

Cansino-Loeza, B., McIntosh, V., Ternus, K., & Zavala, V. M. (2024). Biomanufacturing in Space: New Concepts and Paradigms for Process Design. In Proceedings of FOCAPD 2024. [doi]

González, L. D., & Zavala, V. M. (2024). BOIS: Bayesian Optimization of Interconnected Systems. In Proceedings of ADCHEM 2024 (IFAC-PapersOnLine). [doi] [preprint]

Zavala, V. M. (2024). From Process to Systems Design: A Perspective on the Future of Design Education. In Proceedings of FOCAPD 2024. [doi]

Cortés-Peña, Y. R., & Zavala, V. M. (2024). Graph-Based Representations and Applications to Process Simulation. In Proceedings of FOCAPD 2024. [doi]

Muñoz-Briones, P. A., Munguía-López, A. C., Sánchez-Rivera, K. L., Zavala, V. M., Huber, G. W., & Avraamidou, S. (2024). Optimal Design of Food Packaging Considering Waste Management Technologies to Achieve Circular Economy. In Proceedings of FOCAPD 2024. [doi]

Ikegwu, U. M., Zavala, V. M., & Van Lehn, R. C. (2024). Screening Green Solvents for Multilayer Plastic Films Separation. In Proceedings of FOCAPD 2024. [doi]

González, L. D., Mills, C., Munguía-López, A. C., & Zavala, V. M. (2024). Sustainable Production of Fertilizers via Photosynthetic Recovery of Nutrients in Livestock Waste. In Proceedings of FOCAPD 2024. [doi]

González, L. D., & Zavala, V. M. (2023). Bayesian Optimization for Automatic Tuning of Model Predictive Controllers. In Proceedings of FOCAPO/CPC 2023. [link]

Cole, D., Shin, S., Pacaud, F., Zavala, V. M., & Anitescu, M. (2023). Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems. In 2023 American Control Conference (ACC), 3995–4000. [doi] [preprint]

Munguía-López, A. C., Zavala, V. M., & Ponce-Ortega, J. M. (2023). Municipal Solid Waste Management Using a Coordinated Market Framework. In Proceedings of FOCAPO/CPC 2023. [link]

Zhang, W., & Zavala, V. M. (2023). Pricing and Remunerating Load Shifting Flexibility in Electricity Markets. In Proceedings of FOCAPO/CPC 2023. [link]

Ma, J., Tominac, P. A., & Zavala, V. M. (2023). Techno-Economic Evaluation of Infrastructures for Thermochemical Upcycling of Plastic Waste. In Proceedings of FOCAPO/CPC 2023.

Roman, A. J., Qin, S., Rodriguez, J. C., Zavala, V. M., & Osswald, T. A. (2023). Viscoelastic behavior prediction of natural rubber blends via machine learning and its application for reverse engineering materials. In AIP Conference Proceedings, 2884(1). [doi]

Pulsipher, J. L., Davidson, B. R., & Zavala, V. M. (2022). New Measures for Shaping Trajectories in Dynamic Optimization. In IFAC-PapersOnLine, 55(7), 495–500. [doi] [preprint]

Zhang, W., Kim, K., & Zavala, V. M. (2022). On the Tightness of the Lagrangian Dual Bound for Alternating Current Optimal Power Flow. In 2022 IEEE Power & Energy Society General Meeting (PESGM), 1–5. [doi] [preprint]

Hernandez, E. M., Hu, Y., Zavala, V. M., Martin, M., & Ruiz-Mercado, G. J. (2022). Promoting phosphorus recovery at livestock facilities in the Great Lakes region: Analysis of incentive policies. In Computer Aided Chemical Engineering, 49, 1855–1860. [doi]

Shin, S., & Zavala, V. M. (2021). Controllability and observability imply exponential decay of sensitivity in dynamic optimization. In IFAC-PapersOnLine, 54(6), 179–184. [doi] [preprint]

Alcocer-Garcia, H., Segovia-Hernandez, J. G., Sanchez-Ramirez, E., Romero-Garcia, A. G., Hu, Y., & Zavala, V. M. (2021). Coordinated Management of Agricultural Waste and High-tech Value Bioproducts. In Computer Aided Chemical Engineering, 50, 1891–1896. [doi]

Lin, L., Zavala, V. M., & Chien, A. A. (2021). Evaluating Coupling Models for Cloud Datacenters and Power Grids. In Proceedings of the Twelfth ACM International Conference on Future Energy Systems (e-Energy). [doi]

Shin, S., Coffrin, C., Sundar, K., & Zavala, V. M. (2021). Graph-Based Modeling and Decomposition of Energy Infrastructures. In IFAC-PapersOnLine, 54(3), 693–698. [doi] [preprint]

Lu, Q., Shin, S., & Zavala, V. M. (2020). Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control. In Proceedings of the 21st IFAC World Congress, Berlin, Germany. [doi] [preprint]

Zhang, W., Roald, L. A., Chien, A. A., Birge, J. R., & Zavala, V. M. (2020). Flexibility from networks of data centers: A market clearing formulation with virtual links. In Electric Power Systems Research, 189, 106723. [doi] [preprint]

Jalving, J., Carter, R., & Zavala, V. M. (2020). Hybrid Optimization Strategies for the Transient Operation of Natural Gas Pipelines. In PSIG Annual Meeting. [link]

Hajizadeh, I., Askari, M. R., Kumar, R., Zavala, V. M., & Cinar, A. (2020). Integrating MPC with Learning-Based and Adaptive Methods to Enhance Safety, Performance and Reliability in Automated Insulin Delivery. In IFAC-PapersOnLine, 53(2), 16149–16154. [doi]

Shin, S., Anitescu, M., & Zavala, V. M. (2020). Overlapping Schwarz Decomposition for Constrained Quadratic Programs. In 2020 59th IEEE Conference on Decision and Control (CDC), 3004–3009. [doi] [preprint]

Tovar-Facio, J., Cao, Y., Ponce-Ortega, J. M., & Zavala, V. M. (2019). A Chance-Constrained Nonlinear Programming Approach for Equipment Design Under Uncertainty. In Computer Aided Chemical Engineering, 46, 997–1002. [doi]

Shin, S., Faulwasser, T., Zanon, M., & Zavala, V. M. (2019). A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems. In 2019 IEEE 58th Conference on Decision and Control (CDC), 5264–5271. [doi] [preprint]

Shao, Y., & Zavala, V. M. (2019). Electricity Markets Incentivize Technology Modularization. In Proceedings of Foundations of Computer-Aided Process Design (FOCAPD).

Sampat, A. M., & Zavala, V. M. (2019). Fairness Measures for Decision-Making and Conflict Resolution. In Proceedings of Foundations of Computer-Aided Process Design (FOCAPD). [link]

Shin, S., Smith, A. D., Qin, S. J., & Zavala, V. M. (2019). On the Convergence of the Dynamic Inner PCA Algorithm. In Proceedings of Foundations of Process Analytics and Machine Learning (FOPAM). [link] [preprint]

Jalving, J., & Zavala, V. M. (2019). Recent Advances in Graph-Based Abstractions for Modeling and Simulating Complex Systems. In Computer Aided Chemical Engineering, 46, 1063–1068. [doi]

Rodriguez, J. S., Hackebeil, G., Siirola, J., Zavala, V. M., & Laird, C. D. (2019). Second-Order Multiplier Updates to Accelerate Admm Methods in Optimization Under Uncertainty. In Computer Aided Chemical Engineering, 47, 239–244. [doi]

Hu, Y., Ruiz-Mercado, G., & Zavala, V. M. (2019). Spatio-Temporal Control of Nutrient Pollution from Organic Waste. In Computer Aided Chemical Engineering, 46, 1069–1074. [doi]

Kumar, R., Wenzel, M. J., Ellis, M. J., ElBsat, M. N., Drees, K. H., & Zavala, V. M. (2018). A Hierarchical Model Predictive Control Approach for Handling Demand Charges Using Battery Systems. In Proceedings of the 5th International High Performance Buildings Conference at Purdue, Paper 260. [link]

Kumar, R., Wenzel, M. J., Ellis, M. J., ElBsat, M. N., Drees, K. H., & Zavala, V. M. (2018). A Stochastic Dual Dynamic Programming Framework for Multiscale MPC. In IFAC-PapersOnLine, 51(20), 493–498. [doi]

Kim, K., Anitescu, M., & Zavala, V. M. (2018). An Asynchronous Decomposition Algorithm for Security Constrained Unit Commitment Under Contingency Events. In 2018 Power Systems Computation Conference (PSCC), 1–8. [doi]

Kumar, R., Wenzel, M. J., Ellis, M. J., ElBsat, M. N., Drees, K. H., & Zavala, V. M. (2018). Handling Long Horizons in MPC: A Stochastic Programming Approach. In 2018 Annual American Control Conference (ACC), 715–720. [doi]

Dowling, A. W., Dyreson, A., Miller, F., & Zavala, V. M. (2017). Economic assessment and optimal operation of CSP systems with TES in California electricity markets. In AIP Conference Proceedings, 1850(1). [doi]

Zavala, V. M., & Anitescu, M. (2017). MPC as a DVI: Implications on Sampling Rates and Accuracy. In 56th IEEE Conference on Decision and Control. [doi]

Dowling, A., & Zavala, V. M. (2017). Redesigning Decision-Making Architectures to Exploit Multi-Scale Electricity Markets. In Foundations of Computer-Aided Process Operations. [link]

Dowling, A., & Zavala, V. M. (2017). Resolving Conflicts Among Stakeholders in Real-Time Operations. In Foundations of Computer-Aided Process Operations. [link]

Tian, H., Lu, Q., Gopaluni, R. B., Zavala, V. M., & Olson, J. A. (2016). Economic nonlinear model predictive control for mechanical pulping processes. In 2016 American Control Conference, 1796–1801. [doi]

Tian, H., Lu, Q., Gopaluni, R. B., & Zavala, V. M. (2016). Multiobjective economic model predictive control of mechanical pulping processes. In 55th IEEE Conference on Decision and Control, 4040–4045. [doi]

Zavala, V. M. (2016). New Architectures for Hierarchical Predictive Control. In Proceedings of DYCOPS. [doi]

Zavala, V. M. (2015). A multiobjective optimization perspective on the stability of economic MPC. In IFAC-PapersOnLine, 48(8), 974–980. [doi]

Kang, J., Chiang, N., Laird, C. D., & Zavala, V. M. (2015). Nonlinear programming strategies on high-performance computers. In IEEE Conference on Decision and Control. [doi]

Maheshwari, K., Wozniak, J. M., Yang, H., Katz, D. S., Ripeanu, M., Zavala, V. M., & Wilde, M. (2014). Evaluating Storage Systems for Scientific Data in the Cloud. In Proceedings of the 5th ACM Workshop on Scientific Cloud Computing. [doi]

Chiang, N., Petra, C. G., & Zavala, V. M. (2014). Structured nonconvex optimization of large-scale energy systems using PIPS-NLP. In Power Systems Computation Conference, 1–7. [doi]

Heo, Y., Graziano, D., Zavala, V. M., Dickinson, P., Kamrath, M., & Kirshenbaum, M. (2013). Cost-Effective Measurement and Verification Method for Determining Energy Savings under Uncertainty. In Proceedings of ASHRAE Annual Conference.

Zavala, V. M. (2012). Real-time resolution of conflicting objectives in building energy management: an utopia-tracking approach. In 5th national conference of IBPSA-USA, 1–6. [doi]

Kannan, A., & Zavala, V. M. (2011). A game-theoretical model predictive control framework for electricity markets. In 49th Annual Allerton Conference on Communication, Control, and Computing, 1280–1285. [doi]

Cioaca, A., Zavala, V. M., & Constantinescu, E. M. (2011). Adjoint Sensitivity Analysis for Numerical Weather Prediction: Applications to Power Grid Optimization. In Proceedings of International Workshop on High Performance Computing, Networking and Analytics for the Power Grid. [doi]

Robbins, B. A., & Zavala, V. M. (2011). Convergence analysis of a parallel Newton scheme for dynamic power grid simulations. In International Conference for High Performance Computing, Networking, Storage and Analysis, 3–10. [doi]

Zavala, V. M., & Anitescu, M. (2011). New Insights into the Dynamic Stability of Wholesale Electricity Markets. In Proceedings of IEEE International Symposium on Computer-Aided Control System Design. [doi]

Zavala, V. M. (2011). Proactive Energy Management for High-Performance Buildings: Exploiting and Motivating Sensor Technologies. In Proceedings of Future of Instrumentation International Workshop. [doi]

Lubin, M., Petra, C. G., Anitescu, M., & Zavala, V. M. (2011). Scalable stochastic optimization of complex energy systems. In International Conference for High Performance Computing, Networking, Storage and Analysis, 1–10. [doi]

Zavala, V. M., & Anitescu, M. (2010). Achieving higher frequencies in large-scale nonlinear model predictive control. In 49th IEEE Conference on Decision and Control, 6119–6124. [doi]

Alessandri, A., Baglietto, M., Battistelli, G., & Zavala, V. M. (2010). Advances in moving horizon estimation for nonlinear systems. In 49th IEEE Conference on Decision and Control, 5681–5688. [doi]

Zavala, V. M., Botterud, A., Constantinescu, E., & Wang, J. (2010). Computational and economic limitations of dispatch operations in the next-generation power grid. In IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply, 401–406. [doi]

Alessandri, A., Baglietto, M., Battistelli, G., & Zavala, V. M. (2010). Computationally Efficient, Approximate Moving Horizon State Estimation for Nonlinear Systems. In Proceedings of NOLCOS. [doi]

Zavala, V. M., Constantinescu, E. M., & Anitescu, M. (2010). Economic impacts of advanced weather forecasting on energy system operations. In IEEE Conference on Innovative Smart Grid Technologies, 1–7. [doi]

Zavala, V. M., Wang, J., Leyffer, S., Constantinescu, E. M., Anitescu, M., & Conzelmann, G. (2010). Proactive energy management for next-generation building systems. In Fourth National Conference of IBPSA-USA, 13. [doi]

Zavala, V. M., Anitescu, M., & Krause, T. (2009). On the optimal on-line management of photovoltaic-hydrogen hybrid energy systems. In Computer Aided Chemical Engineering, 27, 1953–1958. [doi]

Zavala, V. M., Laird, C. D., & Biegler, L. T. (2007). A Fast Computational Framework for Large-Scale Moving Horizon Estimation. In Proceedings of 8th International Symposium on Dynamics and Control of Process Systems, Cancun, Mexico. [doi]

Zavala, V. M., & Biegler, L. T. (2007). The Advanced Step NMPC Controller. In Proceedings of the IEEE Workshop on Advanced Process Control Applications for Industry, Vancouver, Canada.

Zavala, V. M., Laird, C. D., & Biegler, L. T. (2006). Fast solvers and rigorous models: can both be accommodated in NMPC. In IFAC Workshop on Nonlinear Model Predictive Control for Fast Systems.