Process Systems Engineering Seminars at Purdue

Join us for the Process Systems Engineering (PSE) Seminars, a weekly gathering where we explore cutting-edge research in PSE. Hosted by Professors David E. Bernal Neira and Can Li from Purdue’s Davidson School of Chemical Engineering, the seminar provides a platform for insightful discussions and knowledge sharing within the PSE community.

This seminar series showcases talks by experts in process systems engineering, covering topics such as process control, design, optimization, quantum computing, systems engineering, machine learning, and data analytics, along with their applications across various industries.

📅 When: Fridays at 4:30 PM EST (during the academic semesters)
📍 Where: FRNY B124
🔗 Sign up for the mailing list here to receive seminar announcements and updates on other PSE events and opportunities.

We welcome researchers and professionals to share their work with the PSE community. To request a presentation slot, please email the organizers.

Stay informed, engage with experts, and be part of the conversation shaping the future of Process Systems Engineering!

Seminar Schedule

Upcoming This Semester

  • April 4, 2025: Robert Parker, Ph.D. (Los Alamos National Laboratory) - Implicit and Explicit Reductions for Nonlinear Optimization Problems

Previous Seminars

  • 2025/03/14: Antonello Raponi, Ph.D. (Purdue) - Integrating CFD-PBM and AI: Advancing Chemical Engineering Crystallization for Manufacturing Optimization
  • 2025/03/07: Sukrati Gautam (Purdue) - Navigating Complexity: a Systems Perspective on Water Management, Human Behavior, and Institutional Dynamics
  • 2025/02/28: Gonzalo E. Constante Flores, Ph.D. (Purdue) - Learning Adaptive Surrogate Proxies for Electricity Market Applications
  • 2025/02/21: Michael Ho (Imperial College London) - Quantum Computing for Wastewater Engineering
  • 2025/02/14: Lukas Spiekerman (ETH Zurich) - From Catalyst to Sustainable Chemical Processes
  • 2024/11/15: Pablo Cortes (Universidad de los Andes Colombia) - Energy Management Systems for Three-phase Unbalanced Microgrids Using Mathematical Programming
  • 2024/11/08: Yan Cong, Ph.D. (Purdue) - Natural Language Processing and Its Implications in Education and Medicine [slides]
  • 2024/10/25: Nguyen Van Tiep, Ph.D. (International University, Vietnam National University HCM) - Complex System Management: Intuition and/or Analysis with Artificial Intelligence Involvement
  • 2024/10/18: Mohammad Shahab, Ph.D. (Purdue) - A Hybrid System for Design Space Estimation of the Continuous Tableting Process [slides]
  • 2024/10/11: Shannon Kelley (Lehigh University) - Warm Starting of Mixed Integer Linear Optimization Problems via Parametric Disjunctive Cuts [slides]
  • 2024/10/04: Montgomery Laky (Purdue) - Process Intensification for Industrial Crystallizations
  • 2024/09/27: Georgia (Ning-Yuan) Liu, Ph.D. (Massachusetts General Hospital, Harvard Medical School) - Evaluating Systems Thinking Skills from Textual Data and Generating Causal Loop Diagrams using Large Language Models [slides]
  • 2024/09/20: Calvin Tsay, Ph.D. (Imperial College London) - Optimization for a Flexible Industry: From Model-based to Data-driven Approaches
  • 2024/09/06: Daniel Laky, Ph.D. (University of Notre Dame) - Digitalization in Chemical Engineering: Building Blocks of Fit-for-purpose Digital Twins [slides]
  • 2024/08/28: Hamta Bardool, Ph.D. (Purdue) - Simulation and Optimization of Bio-alcohol Dehydration [slides]
  • 2024/05/03: Abdellah Tounsi (Frères Mentouri Constantine 1 University Algeria) - Leveraging Quantum Utility: CQTech's Insights from a Hackathon Journey 
  • 2024/05/03: Taha Rouabah, Ph.D. (Frères Mentouri Constantine 1 University Algeria) - Braiding the Future: Unveiling the Fault-tolerant Power of Topological Quantum Computing
  • 2024/04/26: Hiran Vedam, Ph.D. (Breakthrough Energy Fellows Program) - Navigating the Startup Journey: Insights from Building High-impact Climate Tech Ventures
  • 2024/04/12: Sungho Shin, Ph.D. (Argonne National Laboratory, MIT) - Large-scale Nonlinear Programming on GPUs: State-of-the-art and Future Prospects
  • 2024/04/05: Catherine McGeoch, Ph.D. (D-Wave Systems-retired) - Building an Empirical Performance Model for Annealing Quantum Processing Units
  • 2024/03/29: Niloofar Shadab, Ph.D. (Virginia Tech) - Closed Systems Precepts in SE4AI [slides]
  • 2024/03/08: Helen E. Durand, Ph.D. (Wayne State University) - Cybersecurity and Quantum Computation in Control of Cyberphysical Systems for Next-generation Manufacturing [slides]
  • 2024/03/01: Wentao Tang, Ph.D. (North Carolina State University) - Towards a Data-driven, Model-free Nonlinear Process Control Theory [slides]
  • 2024/02/23: Anderson Xu (Purdue) - Quantum Game Club [slides]
  • 2024/02/09: Victor Alves (West Virginia University) - Recent Developments and Implementations in Process Operability Analysis [slides]
  • 2024/02/03: Carolina Tristán, Ph.D. (Purdue) - Optimizing Reverse Electrodialysis for Salinity-driven Energy Recovery [slides]
  • 2024/01/19: Can Li, Ph.D. (Purdue) - Scenario Generation for Stochastic Programming [slides]
  • 2023/12/01: Norman Tubman, Ph.D. (NASA Ames Research Center) - Exploring Quantum State Preparations using Tensor Networks and Sparse Wavefunctions Simulations
  • 2023/12/08: Chengtian Cui (Purdue) - Electrification of Catalytic Reactor and Distillation Processes [slides]
  • 2023/11/17: Amandeep Singh Bhatia, Ph.D. (Purdue) - Federated Quantum Machine Learning in Healthcare [slides]
  • 2023/10/20: Zedong Peng, Ph.D. (Purdue) - The Mixed-Integer Nonlinear Decomposition Toolbox in Pyomo (MindtPy) [slides]
  • 2023/10/13: Salvador García Muñoz, Ph.D. (Eli Lilly) - Computer-aided Process Engineering in Developing and Operating Continuous Processes [slides]
  • 2023/10/06: Kaiyu Cao (Purdue) - Electrified Heat Exchanger Network Synthesis [slides]
  • 2023/09/22: Gonzalo E. Constante Flores, Ph.D. (Purdue) - Learning Convex Approximations for AC-OPF with Zero-Injection Feasibility Guarantees [slides]
  • 2023/09/08: Can Li, Ph.D. (Purdue) - Machine Learning for Combinatorial and Global Optimization [slides]
  • 2023/09/01: David E. Bernal Neira, Ph.D. (Purdue) - Perspectives on Quantum Computing for Chemical Engineering [slides]
  • 2023/09/01: David E. Bernal Neira, Ph.D. (Purdue) - Introduction: PSE Seminar at Purdue [slides]