TWCCC Fall 2025 Meeting - In Person
University of Wisconsin-Madison
Travel Information [link]
Location for Talks: Pyle Center - Alumni Lounge [link]
Location for Poster Session and Dinner: Tripp Commons (Memorial Union) [link]
Recommended Parking Lots: State Street Campus Garage (5 min walk to event) [link] and State Street Capitol Parking Garage (15 min walk to event): [link]
Access to Files [link]
WiFi Access: UWNet (open to all, just register) or Eduroam (open to academics and students)
Final Program (All Times Central)
Monday September 8th
Breakfast on your own
8:45 Welcome and Introduction
9:00 - Jeremy Coulson (UW-Madison): "Data-Driven Control: Theory and Applications"
9:45 - Break
10:00 - Jim Rawlings and Prithvi Dake (UC Santa Barbara): "Can we learn the optimal operation of a process flowsheet directly from data?"
10:45 - Ilias Mitrai (UT Austin): "A Constrained Symbolic Regression Approach for Lyapunov Function Discovery"
11:30 - Lunch (on your own)
13:00 - Michael Baldea (UT Austin): "A System Theoretical Framework for Supply Chain Modeling and Optimization"
13:45 - Jay Lee (University of Southern California) : "Advances on Reinforcement Learning and Bayesian Optimization"
14:30 - Break
14:45 - Styliana Avraamidou (UW-Madison): "Systems Engineering Approaches to Electrification"
15:20 - Joel Paulson (UW-Madison): "From Theory to Impact: Unlocking the Power of Bayesian Optimization on Real-World Science and Engineering Systems"
15:55 - Victor Zavala (UW-Madison): "Advances in Physics-Informed Machine Learning"
16:30 - Reception + Poster Presentations by Students/Postdocs
18:00 - Group Dinner (Provided)
Tuesday September 9th
Breakfast on your own
8:00 - 9:00 - PIs + Industry Meeting (coffee+pastries provided) - Discussion on emerging trends and challenges.
9:00 - Sebastian Terrazas & K.C. Ridley (AspenTech): "Challenges in Industrial Optimization"
An alternative to increasing the complexity in an optimal scheduling problem (Sebastian Terrazas)
Real-time guidance for optimal control users (K.C. Riley)
9:45 - Break
10:00 - Student/Postdoc Talks
10:00 - Josh Hammond (Baldea Group): "Some Preliminary Transfer Learning Results for Dynamical Systems"
10:25 - Davide Mannini (Rawlings Group): "The optimal feedback solution to the disturbance attenuation problem"
10:50 - Parth Brahmbhatt (Avraamidou Group): "Benders Decomposition using Graph Modeling and Multi-Parametric Programming"
11:15 - Wei-Ting Tang (Paulson Group): "Local Multi-Fidelity Bayesian Optimization for Cost-Effective, High-Dimensional Policy Search"
11:40 - Angan Mukherjee (Zavala Group): "Approaches to Physics-Constrained Machine Learning"
12:05 - Concluding Remarks + Adjourn
Poster Titles
Prithvi Dake (Rawlings Group): "Can we learn the optimal operation of a process flowsheet directly from data?"
Josh Hammond (Baldea Group): "Some Preliminary Transfer Learning Results for Dynamical Systems"
Davide Mannini (Rawlings Group): "The optimal feedback solution to the disturbance attenuation problem"
Madhav Muthyala (Paulson Group): "SPARKLE: A Zero-Shot Discovery Framework for High-Performance, Low-Cost Organic Electrode Materials with Applications in Energy Storage"
Wei-Ting Tang (Paulson Group): "BEACON: A Bayesian Novelty Search Algorithm for Efficient Material Property Discovery"
Tianhong Tan (Paulson Group): "MD-BAX: A General-Purpose Bayesian Design Framework for Molecular Dynamics Simulations with Input-Dependent Noise"
Nate Massa (Paulson Group): "Optimizing Dynamic Deployment of Modular Reactors for Stranded Gas Conversion"
Gavin Quam (Avraamidou Group): "Optimal Power Dispatch of a Hybrid Vehicle through Multiparametric Mixed-Integer Programming"
Parth Brahmbhatt (Avraamidou Group): "Multi-Market Bidding and Demand Response for Redox Reservoir-Based Electrochemical Devices Using Two-Stage Stochastic Optimization"
Meng-Lin Tsai (Avraamidou Group): "Incorporating Circular Economy Policies into Product Supply Chains using Bi-level Optimization"
Kiernan Jennings (Avraamidou/Zavala Group): "Multi-Scale Optimization for Capacity Planning and Operations of Electrolysis Systems"
Ashley McCullough (Avraamidou/Zavala Group): "Power Grid-Informed Experiments for Batteries: Integrating Electricity Markets, Scheduling Models, and Degradation Data"
Angan Mukherjee (Zavala Group): "Topological Data Analysis for Multivariate Process Monitoring"
Joe Flory (Zavala Group): "Bayesian Optimization for Dynamic Catalysis"
J.E. Umaña (Zavala Group): "Data-Driven Electrolyte Design for Anode-Free Sodium Metal Batteries"
Gabriel Hernandez (Zavala Group): "Bayesian Optimization over Discrete Spaces: A Case Study in Distillation Design"