Presentations

  1. Alston, D., Gottlieb, R.X., and Stuber, M.D. Improvements to EAGO.jl: Consolidation and Performance. In Proceedings, AIChE 2024, San Diego, CA, Oct 28, 2024.
  2. Gottlieb, R.X. and Stuber, M.D. GPU-Accelerated Deterministic Global Optimization. ISMP 2024, Palais des congrès de Montréal, Montréal, Canada, Jul 23, 2024.
  3. Alston, D., Gottlieb, R.X., and Stuber, M.D. Recent Advances in EAGO.jl and Its Use With JuMP.jl. JuMP-dev 2024, HEC Montréal, Montréal, Canada, Jul 20, 2024. (recording)
  4. Gottlieb, R.X. and Stuber, M.D. Scalable Algorithms for Deterministic Global Optimization. UConn CBE Departmental Seminar, University of Connecticut, Storrs, CT, Dec 7, 2023.
  5. Xu, P., Gottlieb, R.X., Rawlings, E.S., and Stuber, M.D. Automatic Differentiation and Source Code Generation for Dynamic Modeling and Simulation of Brine Systems. In Proceedings, AIChE 2023, Orlando, FL, Nov 9, 2023.
  6. Gottlieb, R.X., Alston, D., Xu, P., and Stuber, M.D. Advances in EAGO.jl: Updates, Dynamics, and Parallelism. In Proceedings, AIChE 2023, Orlando, FL, Nov 7, 2023.
  7. Xu, P., Gottlieb, R.X., and Stuber, M.D. Parameter Estimation of Complicated Thermodynamic Models for Accurate Brine Separation. In Proceedings, AIChE 2023, Orlando, FL, Nov 7, 2023.
  8. Gottlieb, R.X. and Stuber, M.D. Source Code Transformation for GPU-Enhanced Deterministic Global Optimization. In Proceedings, AIChE 2023, Orlando, FL, Nov 6, 2023.
  9. Stuber, M.D., Gottlieb, R.X., Alston, D., Wilhelm, M.E., and Wang, C. Worst-Case Optimization Under Uncertainty With Hybrid Models for Robust Process Systems. In Proceedings, MOPTA 2023, Lehigh University, Bethlehem, PA, Aug 16, 2023.
  10. Thompson, A., Stuber, M.D., Han, S., Dutta, A., Zhou, S., Xu, H., Yang, Q., Miao, F., and Bollas, G. Applying a Competency-Based Education Approach for Designing a Unique Interdisciplinary Graduate Program: A Case Study for a Systems Engineering Program. In Proceedings, ASEE 2023, Baltimore, Maryland, Jun 27, 2023. (paper)
  11. Johns, A.N., Hesketh, R.P., Stuber, M.D., and Ford-Versypt, A.N. Numerical Problem Solving Across the Curriculum with Python and MATLAB Using Interactive Coding Templates: A Workshop for Chemical Engineering Faculty, In Proceedings, ASEE 2023, Baltimore, Maryland, Jun 26, 2023. (paper)
  12. Gottlieb, R.X., Xu, P., and Stuber, M.D. Automatic Source Code Generation of Complicated Models For Deterministic Global Optimization With Parallel Architectures. In Proceedings, FOCAPO-CPC 2023, San Antonio, TX, Jan 9, 2023. (paper)
  13. Gottlieb, R.X., Wilhelm, M.E., Xu, P., and Stuber, M.D. Recent Developments in EAGO.jl (Easy Advanced Global Optimization in Julia). In Proceedings, AIChE 2022, Phoenix, AZ, Nov 15, 2022.
  14. Gottlieb, R.X. and Stuber, M.D. Global Dynamic Optimization Using Hardware-Accelerated Programming. In Proceedings, AIChE 2022, Phoenix, AX, Nov 13, 2022.
  15. Rastinejad, R., Putnam, S., and Stuber, M.D. Optimal Design of Solar Systems for Decarbonizing Industrial Process Heat Applications. In Proceedings, AIChE 2022, Nov 17, 2022.
  16. Stuber, M.D., Gottlieb, R.X., and Wilhelm, M.E. Global Optimization of Advanced Formulations with EAGO.jl: Recent Advances. In Proceedings, EURO 2022, Helsinki, Finland, Jul 5, 2022.
  17. Cetegen, S.A. and Stuber, M.D. Optimal Design of Controlled Environment Agricultural Systems Under Market Uncertainty. In Proceedings, AIChE 2021, Virtual, Nov 16, 2021.
  18. Wang, C. and Stuber, M.D. Robust Optimization With Hybrid First-Principles Data-Driven Models. In Proceedings, AIChE 2021, Boston, MA, Nov 10, 2021.
  19. Wilhelm, M.E. and Stuber, M.D. Approaches to Improve Bilinear Relaxations in Reduced-Space. In Proceedings, AIChE 2021, Boston, MA, Nov 9, 2021.
  20. Wilhelm, M.E., Gottlieb, R.X., and Stuber, M.D. EAGO.jl: Next Generation Global and Robust Optimization in Julia, Revisited. In Proceedings, AIChE 2021, Boston, MA, Nov 7, 2021.
  21. Stuber, M.D. and Wilhelm, M.E. Recent Advances in EAGO.jl: A Feature-Rich Global Solver and Research Platform. In Proceedings, INFORMS 2021, Virtual and Anaheim, CA, Oct 25, 2021.
  22. Wilhelm, M.E. and Stuber, M.D. Reduced-Space Optimization of Data-Driven Hybrid Models in EAGO.jl. In Proceedings, INFORMS 2021, Virtual and Anaheim, CA, Oct 24, 2021.
  23. Wilhelm, M.E. and Stuber, M.D. Solving Optimization Problems with Embedded Dynamical Systems. In Proceedings, JuliaCon 2021, Symposium on Set Propagation Methods in Julia, Virtual, July 28, 2021. (recording)
  24. Cetegen, S.A. and Stuber, M.D. Optimal Design of Controlled Environment Agricultural Systems Under Market Uncertainty. In Proceedings, EURO 2021 – 31st European Conference on Operational Research, Athens, Greece, July 14, 2021.
  25. Stuber, M.D. and Wilhelm, M.E. Recent Advances in EAGO.jl: Easy Advanced Global Optimization in Julia. In Proceedings, EURO 2021 – 31st European Conference on Operational Research, Athens, Greece, July 13, 2021.
  26. Wilhelm, M.E. and Stuber, M.D. Robust Dynamic Optimization via Relaxations of Implicit Integration Schemes. In Proceedings, SIAM Conference on Computational Science and Engineering, Virtual, Mar 2, 2021.
  27. Wilhelm, M.E., Wang, C., and Stuber, M.D. Instructional Videos and Interactive Notebooks for Learning of Coding Concepts in Chemical Engineering Analysis. In Proceedings, AIChE 2020, Virtual, Nov 18, 2020.
  28. Wang, C., Wang, T., Li, B., and Stuber, M.D. System Visualization Using Real-Time Data-Driven Models Derived From High-Resolution Sensor Profiling. In Proceedings, AIChE 2020, Virtual, Nov 17, 2020.
  29. Wang, C. and Stuber, M.D. Recent Advances in Bounding Transient PDE Models With Parametric Uncertainty. In Proceedings, AIChE 2020, Virtual, Nov 17, 2020.
  30. Wilhelm, M.E. and Stuber, M.D. Guaranteed Relaxations and Bounds on the Solution Sets of Parametric ODEs Via Implicit Linear Multistep Methods. In Proceedings, AIChE 2020, Virtual, Nov 17, 2020.
  31. Stuber, M.D. Robust Simulation of Hybrid Mechanistic and Machine Learning Models. In Proceedings, INCOSE New England Fall Workshop, Storrs, CT, Oct 15, 2020.
  32. Wang, C. and  Stuber, M.D. Robust Simulation of Transient PDE Models under Uncertainty. In Proceedings, AIChE 2019, Orlando, FL, Nov 15, 2019.
  33. Stuber, M.D., Wilhelm, M.E. and Le, A.V. Global Optimization of Stiff Dynamical Systems. In Proceedings, AIChE 2019, Orlando, FL, Nov 12, 2019.
  34. Wilhelm, M.E. and Stuber, M.D. Reachability Bounds for Global and Robust Optimization of Parametric ODEs Via Implicit Methods. In Proceedings, AIChE 2019, Orlando, FL, Nov 11, 2019.
  35. Stuber, M.D., Robust Simulation of Safety-Critical Systems. INCOSE New England 2019, Storrs, CT, Oct 17, 2019.
  36. Stuber, M.D. EAGO.jl: Easy Advanced Global Optimization in Julia. In Proceedings, EURO 2019 – 30th European Conference on Operational Research, Dublin, Ireland, Jun 24, 2019.
  37. Wilhelm, M.E. and Stuber, M.D. Tightening McCormick Relaxations Via Reformulation of Intermediate Functions into Schema. In Proceedings, AIChE 2018, Pittsburgh, PA, Oct 30, 2018.
  38. Wilhelm, M.E. and Stuber, M.D. Quadratic Underestimators of Differentiable McCormick Relaxations for Deterministic Global Optimization. In Proceedings, AIChE 2018, Pittsburgh, PA, Oct 30, 2018.
  39. Wang, C., Martin, J.D., Cabral, H., and  Stuber, M.D. Rigorous Parameter Estimation for Model Validation in Oncological Systems. In Proceedings, AIChE 2018, Pittsburgh, PA, Oct 29, 2018.
  40. Wilhelm, M.E. and Stuber, M.D. Recent Advances in EAGO: Global and Robust Optimization in Julia, In Proceedings, AIChE 2018, Pittsburgh, PA, Oct 28, 2018.
  41. Hale, W.T., Palmer, K.A., Stuber, M.D., and Bollas, G.M. Design of Built-in Tests for Robust Active Fault Detection and Isolation of Discrete Faults in Uncertain Systems. In Proceedings, ACC 2018, Milwaukee, WI, Jun 29, 2018. (paper)
  42. Wilhelm, M.E. and Stuber, M.D. EAGO: A Deterministic Nonconvex Optimization Package for Julia. Second Annual JuMP-dev Workshop. In Proceedings, Second Annual JuMP-dev Workshop, Bordeaux, France, Jun 29, 2018. (recording)
  43. Wilhelm, M.E. and Stuber, M.D. Easy Advanced Global Optimization (EAGO): An Open-Source Platform for Robust and Global Optimization in Julia. In Proceedings, AIChE 2017, Minneapolis, MN, Oct 31, 2017.