INTELLIGENT AND SUSTAINABLE PROCESS SYSTEMS LAB (ISPSL)
Home to Pourkargar Research Group @ Kansas State University
WELCOME TO ISPSL
We advance enabling technologies designed to enhance predictive modeling, automation, optimization, and real-time decision-making for complex chemical, biological, energy, and food systems!
The research in our lab focuses on developing intelligent frameworks and the corresponding computational tools needed for
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Controlling complex process networks,
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Applied artificial intelligence in chemical, biological, and energy systems,
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Designing cyber-physical architectures for smart process manufacturing,
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Advancing system identification using machine learning and process data analytics.
Most of our work is computational, but we are intensely interested in laboratory automation to test hypotheses, validate model predictions, and design autonomous experiments.
Our research integrates process systems engineering, artificial intelligence, computational multiscale modeling, and digital twin technology to address challenging problems in chemical, material, food, and bioengineering!
CONTACT US
Office:
2017 Durland Hall, 1701A Platt St.
Manhattan, KS 66506
Computational Lab:
2056 Durland Hall
Experimental Labs:
2001, 2043 Durland Hall
Tel: 785-532-5584
Email: dbpourkargar (at) ksu (dot) edu
FOLLOW OUR RESEARCH
NEWS & UPCOMING EVENTS
November 2025
We will present six talks and a poster at the 2025 AIChE Annual Meeting in Boston, MA:
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A Physics-Informed Machine Learning Framework for Autonomous Additive Manufacturing of Functional Materials (108e @ 3D Printing Fundamentals and Applications Session), November 3, 2025, 9:40 AM - 10:10 AM, 208 Hynes Convention Center Link
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Multimodal Machine Learning for Predictive Structural Characterization of Plant-Based Meat Products in Food Extrusion Processes (124c @ Modeling, Estimation and Control of Industrial Processes Session), November 3, 2025, 1:06 PM - 1:24 PM, 110 Hynes Convention Center Link
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A Data-Driven Transformer-Based Framework for Cyber-Process Incident Detection and State Reconstruction in Highly Integrated Process Systems (243d @ Cybersecurity and Applications for High-Performance Computing in Next-Gen Manufacturing Session), November 3, 2025, 4:48 PM - 5:06 PM, 304 Hynes Convention Center Link
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Data-Driven Discrepancy Quantification in Microkinetic Modeling of Catalytic Processes Via Bayesian Calibration (329f @ Applied Math and Numerical Methods for Industrial Applications Session), November 4, 2025, 2:00 PM - 2:18 PM, 108 Hynes Convention Center Link
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Nonlinear Model Predictive Control of ammonia Synthesis and Separation Process Using Integrated Surrogate Modeling (391d @ Interactive Session: Systems and Process Control), November 4, 2025, 3:30 PM - 5:00 PM, Exhibit Hall C, Hynes Convention Center Link
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Moving Horizon Dynamic Optimization of a Renewable-Driven Chemical-Energy Community Under Varying Disruptions (467h @ Modeling, Control, and Optimization of Energy Systems Session), November 5, 2025, 9:48 AM - 10:06 AM, 108 Hynes Convention Center Link
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Digital Twin Modeling of Liver-on-a-Chip Systems: Integrated Computational Fluid Dynamics and Biochemical Kinetics for Drug Metabolism Studies (595g @ Applied Math for Biological and Biomedical Systems Session), November 5, 2025, 5:18 PM - 5:36 PM, 111 Hynes Convention Center Link
