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Conference Presentations

  1. Pourkargar D.B., A physics-informed machine learning framework for autonomous additive manufacturing of functional materials (108e), Next-Gen Manufacturing Topical Conference, AIChE Annual Meeting, Boston, MA, 2025

  2. Bagheri A., Sheikhzadeh S., Alavi S., Pourkargar D.B., Multimodal machine learning for predictive structural characterization of plant-based meat products in food extrusion processes (124c), AIChE Annual Meeting, Boston, MA, 2025

  3. Bagheri A., Ebrahimi A., Pourkargar D.B., A data-driven transformer-based framework for cyber-process incident detection and state reconstruction in highly integrated process systems (243d), Next-Gen Manufacturing Topical Conference, AIChE Annual Meeting, Boston, MA, 2025

  4. Ebrahimi A., Cabral T.O., Ighalo J., Amama P.B., Pourkargar D.B., Data-driven discrepancy quantification in microkinetic modeling of catalytic processes via Bayesian calibration (329f), AIChE Annual Meeting, Boston, MA, 2025

  5. Bagheri A., Cabral T.O., Pourkargar D.B., Nonlinear model predictive control of ammonia synthesis and separation process using integrated surrogate modeling (391d), AIChE Annual Meeting, Boston, MA, 2025

  6. Cabral T.O., Pourkargar D.B., Moving horizon optimization of a renewable-driven chemical-energy community under varying disruptions (467h), AIChE Annual Meeting, Boston, MA, 2025

  7. Ebrahimi A., Cabral T.O., Pourkargar D.B., Digital twin modeling of liver-on-a-chip systems: Integrating computational fluid dynamics and biochemical kinetics for drug metabolism studies (595g), AIChE Annual Meeting, Boston, MA, 2025

  8. Pourkargar D.B., Resilient multi-agent estimation and control of complex process networks (702a), Next-Gen Manufacturing Topical Conference, AIChE Annual Meeting, San Diego, CA, 2024 (Keynote Presentation)

  9. Bagheri A., Pourkargar D.B., A physics-informed deep learning approach to predict soil water content for agricultural decision-making (579a), AIChE Annual Meeting, San Diego, CA, 2024

  10. Ebrahimi A., Pourkargar D.B., Dynamic graph-based distributed estimation and control of fast-evolving complex process networks (664f), AIChE Annual Meeting, San Diego, CA, 2024

  11. Bagheri A., Cabral T.O., Pourkargar D.B., Time-series integrated surrogate modeling for control of ammonia synthesis and adsorption processes (711a), AIChE Annual Meeting, San Diego, CA, 2024

  12. Marmolejo C.E.V., Pourkargar D.B., Predictive modeling and optimal control of a particulate polysilicon reactor system for enhanced solar cell manufacturing (617c), AIChE Annual Meeting, San Diego, CA, 2024

  13. Ebrahimi A., Bagheri A., Pourkargar D.B., A distributed data-driven predictive modeling approach for cyber-process incident identification using spectral community detection (375d), AIChE Annual Meeting, San Diego, CA, 2024

  14. Cabral T.O., Pourkargar D.B., Predictive modeling and optimal regulation of modular hydrogen-ammonia systems with renewable energy integration for resilient chemical-energy conversion (564d), AIChE Annual Meeting, San Diego, CA, 2024

  15. Pourkargar D.B., Physics-informed machine learning modeling for characterization and control of plant-based meat processing systems, The 5th International Electronic Conference on Foods: The Future of Technology, Sustainability, and Nutrition in the Food Domain, 2024 (Invited Presentation)

  16. Sheikhzadeh S., Das S., Pourkargar D.B., Alavi S., Characterization of structural attributes of plant-based meat alternatives using machine learning based image analysis, Conference of Food Engineering (CoFE), Seattle, WA, 2024

  17. Ebrahimi A., Pourkargar D.B., Distributed estimation and model predictive control of integrated nonlinear process systems using an adaptive community detection approach (295d), AIChE Annual Meeting, Orlando, FL, 2023

  18. Cabral T.O., Bagheri A., Pourkargar D.B., Learning-based data reconstruction and predictive modeling of an ammonia synthesis process for state estimation and control applications (207g), AIChE Annual Meeting, Orlando, FL, 2023

  19. Cabral T.O., Bagheri A., Pourkargar D.B., A Deep Learning-Based Model Reduction and Control of an Ammonia Synthesis Process (12f), AIChE Annual Meeting, Phoenix, AZ, 2022

  20. Hinkel P., Pourkargar D.B., Optimization-Based Estimation and Control of Renewable Energy-Powered Greenhouse Systems (484d), AIChE Annual Meeting, Phoenix, AZ, 2022

  21. Hinkel P., Pourkargar D.B., Model Predictive Control of Green-Powered Zero Waste Urban Plant Factories for Sustainable Food Production (587f), AIChE Annual Meeting, Phoenix, AZ, 2022

  22. Pourkargar D.B., Armaou A., Output feedback control of nonlinear distributed parameter systems with unknown parameters using a two-tier adaptive identification method (105d), AIChE Annual Meeting, Boston, MA, 2021

  23. Pourkargar D.B., Model predictive control of integrated energy and chemical manufacturing systems (537h), AIChE Annual Meeting, Boston, MA, 2021

  24. Pourkargar D.B., Output feedback control of integrated lumped and distributed parameter systems using mobile sensor network (172g), AIChE Annual Meeting, San Francisco, CA, 2020

  25. Pourkargar D.B., Jogwar S.S., Distributed model predictive control of integrated process networks using community detection (687g), AIChE Annual Meeting, San Francisco, CA, 2020

  26. Pourkargar D.B., Armaou A., Constrained control of dissipative distributed parameter systems via on-demand data-driven model reduction (399a), AIChE Annual Meeting, San Francisco, CA, 2020

  27. Pourkargar D.B., Moharir M., Almansoori A., Daoutidis P., Distributed estimation and nonlinear control of a benzene chlorination process (40h), AIChE Annual Meeting, Pittsburgh, PA, 2018

  28. Pourkargar D.B., Optimization-based control of complex process networks in smart manufacturing: The appearance of cyber-physical systems, cloud computing, and big data analytics (6id), AIChE Annual Meeting, Pittsburgh, PA, 2018

  29. Moharir M., Pourkargar D.B., Almansoori A., Daoutidis P., Graph representation and decomposition of diffusion-convection-reaction processes for distributed control (560a), AIChE Annual Meeting, Pittsburgh, PA, 2018

  30. Tang W., Allman A., Pourkargar D.B., Daoutidis P., Decomposition of optimization problems using community detection and its application in nonlinear model predictive control (359f), AIChE Annual Meeting, Pittsburgh, PA, 2018

  31. Pourkargar D.B., Almansoori A., Daoutidis P., Distributed model predictive control of complex plants: A systematic study of decomposition effects (497a), AIChE Annual Meeting, Minneapolis, MN, 2017

  32. Pourkargar D.B., Moharir M., Tang W., Almansoori A., Daoutidis P., Nonlinear distributed model predictive control of gas sweetening processes (170a), AIChE Annual Meeting, Minneapolis, MN, 2017 (Best Paper in the Session Award, Session 170: Process Control Applications)

  33. Tang W., Pourkargar D.B., Daoutidis P., Relative time averaged gain array for distributed architecture design (497g), AIChE Annual Meeting, Minneapolis, MN, 2017

  34. Pourkargar D.B., Optimization-based control of complex process networks: Application to medicine and energy systems (7iq), AIChE Annual Meeting, Minneapolis, MN, 2017

  35. Pourkargar D.B., Armaou A., Output Feedback Control of Transport-Reaction Processes with Unknown Parameters Using Adaptive Model Reduction with Minimum Feedback Information (582b), AIChE Annual Meeting, San Francisco, CA, 2016

  36. Pourkargar D.B., Armaou A., Adaptive output feedback control of transport-reaction processes via two-layer system adaptations (569g), AIChE Annual Meeting, Salt Lake City, UT, 2015 (Finalist for the AIChE Computing and Systems Technology (CAST) Director’s Student Presentation Award)

  37. Pourkargar D.B., Armaou A., Estimation of spatially distributed processes via adaptive model reduction using mobile sensor network (583a), AIChE Annual Meeting, Salt Lake City, UT, 2015

  38. Pourkargar D.B., Shahri S.M.K., Rioux, R.M., Armaou A., Spatiotemporal modeling and identification of CO2 adsorption columns (662d), AIChE Annual Meeting, Salt Lake City, UT, 2015

  39. Pourkargar D.B., Robust adaptive model predictive control of chemical and biological systems (6it), AIChE Annual Meeting, Salt Lake City, UT, 2015

  40. Pourkargar D.B., Armaou A., Adaptive control of dissipative distributed parameter systems via recursively updated reduced order models (555f), AIChE Annual Meeting, Atlanta, GA, 2014

  41. Pourkargar D.B., Armaou A., Shaping the spatiotemporal dynamics of transport-reaction processes via adaptive proper orthogonal decomposition (610h), AIChE Annual Meeting, Atlanta, GA, 2014

  42. Pourkargar D.B., Armaou A., Estimation of distributed parameter systems using recursively updated empirical basis functions (568y), AIChE Annual Meeting, Atlanta, GA, 2014

  43. Pourkargar D.B., Armaou A., Robust dynamic shaping of distributed parameter systems via recursively updated empirical basis functions, Session CP7, SIAM Annual Meeting, Chicago, IL, 2014

  44. Pourkargar D.B., Armaou A., Output Feedback Control of Nonlinear Distributed Parameter Systems via Adaptive Model Order Reduction, Department of Chemical Engineering Research Symposium, The Pennsylvania State University, University Park, PA, 2014

  45. Pourkargar D.B., Armaou A., Control of fast-evolving distributed parameter systems via information aware model reduction recursions, 11th Annual College of Engineering Research Symposium (CERS), The Pennsylvania State University, University Park, PA, 2014

  46. Pourkargar D.B., Armaou A., APOD-based control of spatially distributed processes with limited sensor/controller communication bandwidth, 11th Annual College of Engineering Research Symposium (CERS), The Pennsylvania State University, University Park, PA, 2014

  47. Pourkargar D.B., Armaou A., Output feedback control of transport-reaction processes based on adaptive model reduction in the presence of sensor communication constraints (613a), AIChE Annual Meeting, San Francisco, CA, 2013

  48. Pourkargar D.B., Armaou A., Improving model reduction approaches for output feedback control of fast-evolving spatially distributed processes (589c), AIChE Annual Meeting, San Francisco, CA, 2013

  49. Pourkargar D.B., Armaou A., Design of recursively updated reduced order dynamic observers for distributed parameter systems, Session CP4, SIAM Conference on Control and its Application, San Diego, CA, 2013

  50. Pourkargar D.B., Armaou A., Output feedback control of distributed parameter systems based on adaptive model reduction, 10th Annual College of Engineering Research Symposium (CERS), University Park, PA, 2013

  51. Pourkargar D.B., Armaou A., Output feedback control of transport reaction processes using adaptive proper orthogonal decomposition (747d), AIChE Annual Meeting, Pittsburgh, PA, 2012

  52. Pourkargar D.B., Orkomi A.A., Boozarjomehry B.R., Thermodynamic and transport properties estimation of a complicated mixture of hydrocarbons by fuzzy clustering methods, 19th International Congress of Chemical and Process Engineering (CHISA19) and the 7th European Congress of Chemical Engineering (ECCE-7), Prague, Czech Republic, 2010

  53. Orkomi A.A., Pourkargar D.B., Boozarjomehry R.B., Approximate fuzzy feedback linearization of amine gas sweetening plant via genetic algorithm, 19th International Congress of Chemical and Process Engineering (CHISA19) and the 7th European Congress of Chemical Engineering (ECCE-7), Prague, Czech Republic, 2010

  54. Pourkargar D.B., Orkomi A.A., Boozarjomehry R.B., Fuzzy clustering of complex hydrocarbon mixtures, 4th International Conference of Fuzzy Information & Engineering, Amol, 2010

  55. Pourkargar D.B., Shahrokhi M., Optimal fuzzy synchronization, 4th International Conference of Fuzzy Information & Engineering, Amol, 2010

  56. Orkomi A.A., Pourkargar D.B., Boozarjomehry R.B., Effects of transfer function selection on optimal approximate feedback linearization of CO2 Absorption by amine solution, 1st International Regional Chemical & Petroleum Engineering Conference & 13th National Iranian Chemical Engineering Congress, Kermanshah, 2010

  57. Pourkargar D.B., Shahrokhi M., Synchronization of two chaotic chemical reactors, 1st International Regional Chemical & Petroleum Engineering Conference & 13th National Iranian Chemical Engineering Congress, Kermanshah, 2010

  58. Pourkargar D.B., Orkomi A.A., Boozarjomehry R.B., Fuzzy feedforward control of amine gas sweetening plant, International Conference of Control, Instrumentation and Automation (ICCIA), Tehran, 2010

  59. Pourkargar D.B., Orkomi A.A., Boozarjomehry R.B., Control of amine gas sweetening plant by approximate fuzzy feedback linearization via genetic algorithm, International Conference of Control, Instrumentation and Automation (ICCIA), Tehran, 2010

  60. Pourkargar D.B., Orkomi A.A., Comparison between PID and a novel model-based controller in interactive chemical plants control, International Conference of Control, Instrumentation and Automation (ICCIA), Tehran, 2010

Invited Seminars

  1. Pourkargar D.B., A digital twin framework for predictive modeling of liver-on-a-chip system dynamics, Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 2025

  2. Pourkargar D.B., Physics-informed machine learning for characterization, predictive modeling, and optimization of agri-food and biosystems, Center for Grain and Animal Health, Agricultural Research Service, US Department of Agriculture, Manhattan, KS, 2025

  3. Pourkargar D.B., A learning-based predictive modeling and decision-making framework for functional materials synthesis and integrated chemical manufacturing systems, University of Arkansas, Fayetteville, AR, 2025

  4. Pourkargar D.B., Physics-informed machine learning for characterization, predictive modeling, and optimization of agri-food and biomedical systems, Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan, KS, 2024

  5. Pourkargar D.B., Physics-informed machine learning: from process systems engineering to decoding disease and drug-delivery dynamics using organ-on-a-chip data, Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 2024

  6. Pourkargar D.B., A learning-based multiscale predictive modeling framework for optimal control of advanced materials manufacturing systems, Materials Informatics Webinar, NASA Glenn Research Center, 2024

  7. Pourkargar D.B., A learning-based multiscale predictive modeling and decision-making framework for integrated renewable energy and chemical manufacturing systems, Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS, 2024 

  8. Pourkargar D.B., Optimization-based control of complex process networks, Department of Chemical Engineering, University of California, Davis, CA, 2019 

  9. Pourkargar D.B., Optimization-based control of complex process networks, ExxonMobil Research and Engineering, Spring, TX, 2018 

  10. Pourkargar D.B., Optimization-based control of complex process networks, Department of Chemical Engineering, Kansas State University, Manhattan, KS, 2018 

  11. Pourkargar D.B., Optimization-based control of complex process networks, Pfizer Global Research and Development, Groton, CT,  2018 

  12. Pourkargar D.B., Optimization-based control of complex process networks, Department of Biomedical and Chemical Engineering and Sciences, Florida Institute of Technology, Melbourne, FL, 2018 

  13. Pourkargar D.B., Optimization-based control of complex process networks, Department of Chemical and Environmental Engineering, University of Cincinnati, Cincinnati, OH, 2018 

  14. Pourkargar D.B., Optimization-based control of complex process networks, Department of Chemical, Biological and Bioengineering,  North Carolina A&T State University, Greensboro, NC, 2018 

  15. Pourkargar D.B., Optimization-based control of complex process networks: Handling complexity through model reduction and system decomposition, William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University,  Columbus, OH, 2018 

  16. Pourkargar D.B., Optimization-based control of complex process networks, Distinguished Junior Researcher Seminar, Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 2017 

  17. Pourkargar D.B., Output feedback control of transport-reaction processes via two-layer system adaptations, Applied and Computational Mathematics Research Program, Princeton University, Princeton, NJ, 2015

© 2025 by Davood B. Pourkargar                                  

    Tim Taylor Department of Chemical Engineering

    Carl R. Ice College of Engineering, Kansas State University

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