Publications
Google Scholar Profile ORCID: 0000-0001-9383-7499
Journal Articles
[**] Shammah Lilonfe, Laurianne Estrada, Pratham Singh, Jonathan A. Ouimet, William A. Phillip, Alexander W. Dowling (2026). Soft Sensors Enable Real-Time Ion Concentration Measurements. (under review) [preprint]
[**] Donghyun Paul Jeong, Stephen Cini, Kailee Mendiola, Satyajyoti Senapati, Alexander Dowling, Hsueh-Chia Chang, Jeremiah Zartman, Donny Hanjaya-Putra (2026). Harnessing NCX-IP3R-dependent Calcium Oscillations to Regulate Angiogenic Signaling in Endothelial Cells. (under review) [preprint]
[**] Daniel J. Laky, Shammah Lilonfe, Shawn B. Martin, Katherine A. Klise, Bethany L. Nicholson, John D. Siirola, Alexander W. Dowling (2026). Optimal Experimental Design using Eigenvalue-Based Criteria with Pyomo.DoE. (under review) [preprint]
[**] Xinhe Chen, Radhakrishna Tumbalam Gooty, Darice Guittet, Bernard Knueven, Daniel J. Laky, Xian Gao, J. Kyle Skolfield, Jaffer Ghouse, John D. Siirola, David C. Miller, Anthony P. Burgard, and Alexander W. Dowling (2025). Beyond Price-taker: Machine Learning Surrogate Assisted Optimization of Integrated Energy Systems to Co-produce Electricity and Hydrogen. (under review) [preprint]
[**] Mayesha Sahir Mim, Stephen Cini, Caitlin Frank, Zian Wang, Alexander Dowling, Jeremiah J Zartman (2025). Forward Engineering Organ Development and Cancer Therapeutics with Optogenetics (under review) [preprint]
[J65] Jason L. Yao, Molly Dougher, Andrew Lee, Alejandro Garciadiego, Thomas J. Tarka, Alexander W. Dowling, and Chrysanthos E. Gounaris (2026). Robust optimization of flexible diafiltration systems for critical mineral separations. Chemical Engineering Journal Advances [link]
[J64] Kyla D. Jones and Alexander W. Dowling (2026). BITS for GAPS: Bayesian Information-Theoretic Sampling for GAussian Process Surrogates. Computers & Chemical Engineering [preprint] [link]
[J63] Montana N. Carlozo, Ning Wang, Alexander W. Dowling and Edward J. Maginn (2026). Development of accurate transferable hydrofluorocarbon refrigerant force fields using a machine learning and optimization approach. Digital Discovery [link]
[J62] Stephen Summits, Ryan Hughes, Chinyere Ezeobinwune, Daniel Laky, Alexander Dowling, and Debangsu Bhattacharyya (2025). Modeling and Optimization of a Rotating Packed Bed Contactor with a Tetraamine-Appended Metal-Organic Framework for CO₂ Capture. ACS Energy and Fuels [link]
[J61] Barnabas P. Agbodekhe, Montana N. Carlozo, Dinis O. Abranches, Kyla D. Jones, Alexander W. Dowling, and Edward J. Maginn. (2025). Enhanced Thermophysical Property Prediction with Uncertainty Quantification using Group Contribution-Gaussian Process Regression. Molecular Systems Design & Engineering [link]
[J60] Montana Carlozo, Ke Wang, and Alexander W. Dowling (2025). Bayesian Optimization Methods for Nonlinear Model Calibration. Industrial & Engineering Chemistry Research [link]
[J59] Xinhong Liu, Laurianne Lair, Jonathan Ouimet, M. McClure, D. Latulippe, William A. Phillip, and Alexander W. Dowling (2025). Characterizing Transport Properties of Surface Charged Nanofiltration Membranes via Model-based Data Analytics. Industrial & Engineering Chemistry Research [link]
[J58] Seongmin Kim, Sang-Woo Ahn, In-Saeng Suh, Alexander W Dowling, Eungkyu Lee, Tengfei Luo (2025). Quantum Annealing for Combinatorial Optimization: A Benchmarking Study. npj Quantum Information [link]
[J57] Xinhe Chen, Xian Gao, Darice Guittet, Radhakrishna Tumbalam-Gooty, Bernard Knueven, John D. Siirola, David C. Miller, and Alexander W. Dowling (2025). Beyond Price-Taker: Multiscale Optimization of Wind and Battery Integrated Energy Systems. IEEE Transactions on Energy Markets, Policy and Regulation [preprint] [link]
[J56] Madelynn Jean Watson, Aline da Silva, Pedro Machado, Celma Ribeiro, Claudio Nascimento, Alexander W Dowling (2025). The Case for Bio-jet Fuel from Bioethanol in Brazil: An Optimization-based Analysis Using Historical Market Data, Industrial & Engineering Chemistry Research (accepted, 2024 Class of Influential Researchers special issue) [preprint] [link]
[J55] Damian T. Agi, Hani A.E. Howa, Alexander W. Dowling, Kyle Hawley (2025). Techno-economic analysis and optimization of water-gas shift membrane reactors for low-carbon hydrogen production, International Journal of Hydrogen Energy, [preprint] [link]
[J54] Daniel J. Laky, Nicole P. Cortes, John C. Eslick, Alexander A. Noring, Naresh Susarla, Chinedu Okoli, Miguel A. Zamarripa, Douglas A. Allan, John H. Brewer, Arun K.S. Iyengar, Anthony P. Burgard, David C. Miller, Alexander W. Dowling (2024). Market Optimization and Technoeconomic Analysis of Hydrogen-Electricity Coproduction Systems, Energy & Environmental Science [link]
[J53] Jonathan A. Ouimet, Faraj Al-Badani, Xinhong Liu, Laurianne Lair, Z. Muetzel, Alexander W. Dowling, William A. Phillip (2024). Automated membrane characterization: In-situ monitoring of the permeate and retentate solutions using a 3D printed permeate probe device, J. Membrane Science Letters [preprint] [link]
[J52] Xinhong Liu, Jonathan A. Ouimet, John R. Hoffman, Jialing Xu, William A. Phillip, Alexander W. Dowling (2024). Optimization of Reactive Ink Formulation for Controlled Additive Manufacturing of Copolymer Membrane Functionalization, ACS Applied Materials & Interfaces. [link]
[J51] Jialu Wang, Zedong Peng, Ryan Hughes, Debangsu Bhattacharyya, David E. Bernal Neira, Alexander W. Dowling (2024). Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements. Computers & Chemical Engineering. [link]
[J50] Zhongyu Cheng, Ke Wang, Ali M.N. Tanvir, Wenjie Shang, Tengfei Luo, Yanliang Zhang, Alexander W. Dowling, David B. Go (2024). Bayesian Optimization of Low-Temperature Nonthermal Plasma Jet Sintering of Nanoinks, ACS Applied Materials & Interfaces. [link]
[J49] Laurianne Lair, Jonathan Aubuchon Ouimet, Molly Dougher, Bryan W. Boudouris, Alexander W. Dowling, and William A. Phillip (2024). Critical Mineral Separations: Opportunities for Membrane Materials and Processes to Advance Sustainable Economies and Secure Supplies, Annual Review of Chemical and Biomolecular Engineering. [link]
[J48] Kaidong Song, Guoyue Xu, Ali N.M. Tanvir, Ke Wang, Md O. Bappy, Haijian Yang, Wenjie Shang, Le Zhou, Alexander W. Dowling, Tengfei Luo, Yangliang Zhang (2024). Machine learning-assisted 3D printing of thermoelectric materials of ultrahigh performances at room temperature. J. Material Chemistry A. [link]
[J47] Kanishka Ghosh, Santiago D. Salas, Alejandro Garciadiego, Jennifer B. Dunn, Alexander W. Dowling (2024). Multiscale Equation-Oriented Optimization Decreases the Carbon Intensity of Shale Gas to Liquid Fuel Processes, ACS Sustainable Chemistry & Engineering [link]
[J46] Nilay Kumar, Mayesha Sahir Mim, Alexander Dowling, Jeremiah Zartman (2024). Reverse engineering morphogenesis through Bayesian optimization of physics-based models, npj Systems Biology and Applications. [code] [preprint] [link]
[J45] Ali N.M. Tanvir, Md O. Bappy, Minxiang Zeng, Wenjie Shang, Ke Wang, Kaidong Song, Yukun Liu, Eleonora Isotta, Mercouri G. Kanatzidis, G. Jeffery Snyder, Alexander W. Dowling, Tengfei Luo, Yanliang Zhang (2024). High-performance thermoelectric composites via scalable and low-cost ink processing, Energy & Environmental Science. [link]
[J44] Madelynn Jean Watson, Pedro Machado, Aline da Silva, Yan Rivera, Celma Ribeiro, Claudio Nascimento, Alexander W Dowling. (2024) Sustainable aviation fuel technologies, costs, emissions, policies, and markets: a critical review, Journal of Cleaner Production. [link]
[J43] Damian T. Agi, Kyla D. Jones, Madelynn J. Watson, Hailey G. Lynch, Molly Dougher, Xinhe Chen, Montana N. Carlozo, Alexander W. Dowling (2024). Computational Toolkits for model-based design and optimization, Current Opinion in Chemical Engineering. [link]
[J42] Barnabas Agbodekhe, Eliseo Marin-Rimoldi, Yong Zhang, Alexander W. Dowling, Edward J. Maginn. (2024). Assessment and Ranking of Difluoromethane (R32) and Pentafluoroethane (R125) Interatomic Potentials Using Several Thermophysical and Transport Properties Across Multiple State Points, Journal of Chemical & Engineering Data. [link]
[J41] Jordan Jalving, Jaffer Ghouse, Nicole Cortes, Xian Gao, Bernard Knueven, Damian Agi, Shawn Martin, Xinhe Chen, Darice Guittet, Radhakrishna Tumbalam-Gooty, Ludovico Bianchi, Keith Beattie, Daniel Gunter, John D Siirola, David C. Miller, Alexander W Dowling (2023), Beyond Price Taker: Conceptual Design and Optimization of Integrated Energy Systems using Machine Learning Market Surrogates, Applied Energy [link]
[J40] Elvis A. Eugene, Kyla D. Jones, Jialu Wang, Xian Gao, Alexander W. Dowling. (2023) Learning and Optimization Under Epistemic Uncertainty with Bayesian Hybrid Models, Computers & Chemical Engineering. [link]
[J39] Jonathan A. Ouimet, Alexander W. Dowling, William A. Phillip. (2023) Isolating the effects of gate layer permeability and sorbent density on the performance of solute-selective polymeric ion pumps, Molecular Systems Design & Engineering. [link]
[J38] Wenjie Shang, Minxiang Zeng, Ali Tanvir, Ke Wang, Mortaza Saeidi-Javash, Alexander Dowling, Tengfei Luo, Yanliang Zhang. (2023) Hybrid Data-driven Discovery of High-performance Silver Selenide-based Thermoelectric Composites, Advanced Material. [link]
[J37] Bridgette J. Befort, Alejandro Garciadiego, Jialu Wang, Ke Wang, Gabriela Franco, Edward J. Maginn, Alexander W. Dowling (2023). Data Science for Thermodynamic Modeling: A Case Study for Ionic Liquid and Hydrofluorocarbon Refrigerant Mixtures, Fluid Phase Equilibria. [link]
[J36] Ramón González-Pérez, Stephen Adams, Alexander Dowling, William Phillip, Jonathan Whitmer (2023). Thermodynamics of Li+–Crown Ether Interactions in Aqueous Solvent. Journal Physical Chemistry A, [preprint] [link]
[J35] Ning Wang, Montana Carlozo, Eliseo Marin-Rimoldi, Bridgette Befort, Alexander Dowling, Edward Maginn. (2023) Machine Learning Enabled Development of Accurate Force Fields for Refrigerants, Journal of Chemical Theory and Computation. [link]
[J34] Ke Wang, Minxiang Zeng, Jialu Wang, Wenjie Shang, Yanliang Zhang, Tengfei Luo, Alexander W. Dowling. (2023) When Physics-Informed Data Analytics Outperforms Black-box Machine Learning: A Case Study in Thickness Control for Additive Manufacturing. Digital Chemical Engineering (invited special issue: Rising Stars) 6, p. 100076. [link]
[J33] Alejandro Garciadiego, Bridgette J. Befort, Gabriela Franco, Mozammel Mazumder, and Alexander W. Dowling (2022). What Data Are Most Valuable to Screen Ionic Liquid Entrainers for Hydrofluorocarbon Refrigerant Reuse and Recycling? Industrial & Engineering Chemistry Research, 61(50), p. 18412–18425 [preprint] [link]
[J32] Krishnendu Mukherjee, Alexander W. Dowling, and Yamil J. Colón (2022), Sequential Design of Adsorption Simulations in Metal-Organic Frameworks. Molecular Systems Design & Engineering. [preprint] [link]
[J31] Jialu Wang, Alexander Dowling (2022), Pyomo.DOE: An Open-Source Package for Model-Based Design of Experiments in Python. AIChE Journal (invited special issue: Futures 2022), 68(12), p. e17813 [link]
[J30] Mortaza Saeidi-Javash, Ke Wang, Minxiang Zeng, Tengfei Luo, Alexander Dowling, Yanliang Zhang (2022), Machine Learning-Assisted Ultrafast Flash Sintering of High-Performance and Wearable Silver-Selenide Thermoelectric Devices. Energy Environmental Science, 15, p. 5093–5104. [link]
[J29] Casey O'Brien, Madelynn Watson, Alexander Dowling (2022). Challenges and Opportunities in Converting CO2 to Carbohydrates. ACS Energy Letters, 7(10), p. 3509–3523. [code] [link]
[J28] Noah P. Wamble, Elvis A. Eugene, William A. Phillip, and Alexander W. Dowling (2022), Optimal Diafiltration Membrane Cascades Enable Green Recycling of Spent Lithium-Ion Batteries. ACS Sustainable Chemistry & Engineering, 10(37), p. 12207–12225. [link]
[J27] Kanishka Ghosh, Sergio Vernuccio, Alexander Dowling (2022), Nonlinear Reactor Design Optimization with Embedded Microkinetic Model Information. Frontiers in Chemical Engineering (invited special issue -- Editors’ Showcase: Computational Methods in Chemical Engineering), Vol. 4, p. 898685. [link]
[J26] Xian Gao, Bernard Knueven, John D. Siirola, David C. Miller, Alexander W. Dowling (2022). Multiscale Simulation of Integrated Energy System and Electricity Market Interactions. Applied Energy, 316, p. 11901. [link]
[J25] Ke Wang, Alexander W. Dowling (2022). Bayesian optimization for chemical products and functional materials, Current Opinion in Chemical Engineering, 36, p. 100728 [link] [preprint]
[J24] Jonathan A. Ouimet, Xinhong Liu, David J. Brown, Elvis A. Eugene, Tylar Popps, Zachary W. Muetzel, Alexander W. Dowling, William A. Phillip (2022). DATA: Diafiltration Apparatus for high-Throughput Analysis, J. Membrane Science, 641(1), p. 119743. [link]
[J23] Kalin R. Baca, Greta M. Olsen, Lucia Matamoros Valenciano, Madelyn G. Bennett, Dorothy M. Haggard, Bridgette J. Befort, Alejandro Garciadiego, Alexander W. Dowling, Edward J. Maginn, Mark B. Shiflett (2022), Phase Equilibria and Diffusivities of HFC-32 and HFC-125 in Ionic Liquids for the Separation of R-410A. ACS Sustainable Chemistry & Engineering, 10(2), p. 816-830. [link]
[J22] Clay T. Elmore, Alexander W. Dowling (2021). Learning Spatiotemporal Dynamics in Wholesale Energy Markets with Dynamic Mode Decomposition, Energy, 232, p. 121013 [preprint] [link]
[J21] Cara Kilmartin, Jonathan Ouimet, Alexander Dowling, William Phillip (2021). Staged Diafiltration Cascades Provide Opportunities to Execute Highly Selective Separations. Industrial & Engineering Chemistry Research, 60(43), p. 15706-15719. [link]
[J20] Bridgette J. Befort, Ryan S. DeFever, Garrett M. Tow, Alexander W. Dowling, Edward J. Maginn (2021). Machine Learning Directed Optimization of Classical Molecular Modeling Force Fields, J. Chem. Inf. Model, 61(9), p. 440-4414. [preprint] [link]
[J19] Elvis A. Eugene, William A. Phillip, Alexander W. Dowling (2021). Material Property Targets to Enable Adsorptive Water Treatment and Resource Recovery Systems, ACS EST Engg, 1(8), p. 1171-1182 [link]
[J18] Andrew Lee, Jaffer H. Ghouse, John C. Eslick, Carl D. Laird, John D. Siirola, Miguel A. Zamarripa, Dan Gunter, John H. Shinn, Alexander W. Dowling, Debangsu Bhattacharyya, Lorenz T. Biegler, Anthony P. Burgard, David C. Miller (2021). The IDAES Process Modeling Framework and Model Library – Flexibility for Process Simulation and Optimization, J. Advanced Manufacturing and Processing, 3(3), p. e10095. [link]
[J17] Ryan S. DeFever, Ray A. Matsumoto, Alexander W. Dowling, Peter T. Cummings, Edward J. Maginn (2021). MoSDeF Cassandra: A complete Python interface for the Cassandra Monte Carlo software, J. Computational Chemistry, 42 (18), p. 1321-1331. [link]
[J16] Alejandro Garciadiego, Tengfei Luo, Alexander W. Dowling (2021). Molecular design targets and optimization of low-temperature thermal desalination systems, Desalination, 504, p. 114941. [preprint] [link]
[J15] Ana Rita C. Morais, Abby Harders, Kalin Baca, Greta M. Olson, Mark B. Shiflett, Bridgett Befort, Alexander W. Dowling, Edward J. Maginn (2020). Phase Equilibria, Diffusivities, and Equation of State Modeling of HFC-32 and HFC-125 in Imidazolium-based Ionic Liquids for the Separation of R-410A, Industrial Engineering & Chemistry Research, 59(40), p. 18222–18235. [link]
[J14] Fani Boukouvala, Alexander Dowling, Jonathan Verrett, Zachary Ulissi, Victor Zavala (2020). Computational Notebooks in Chemical Engineering Curricula, Chemical Engineering Education, 54 (3), p. 143 - 150. [link]
[J13] Farshud Sorourifar, Victor M. Zavala, Alexander W. Dowling (2020). Integrated Multiscale Design, Market Participation, and Replacement Strategies for Battery Energy Storage Systems, IEEE Trans. Sustainable Energy, 11(1), p. 84-92. [link]
[J12] Elvis A. Eugene, William A. Phillip, Alexander W. Dowling (2019). Data Science-Enabled Molecular-to-Systems Engineering for Sustainable Water Treatment, Current Opinion in Chemical Engineering, 26, p. 122–130. [open access link]
[J11] Jose A. Renteria, Yankai Cao, Alexander W. Dowling, and Victor M. Zavala (2018). Optimal PID controller tuning using stochastic programming techniques, AIChE Journal 64 (8), p. 2997 – 3010. [link]
[J10] Alexander W. Dowling, Tian Zheng, and Victor M. Zavala (2018). A decomposition algorithm for simultaneous scheduling and control of CSP systems, AIChE Journal 64 (8), p. 2480-2417. [link]
[J9] Alexander W. Dowling and Victor M. Zavala (2018). Economic Opportunities for Industrial Systems from Frequency Regulation Markets, Computers & Chemical Engineering 114 (9), p. 254-264. [link]
[J8] Alexander W. Dowling, Tian Zheng, and Victor M. Zavala (2017). Economic Assessment of Concentrated Solar Power Technologies: A Review, Renewable and Sustainable Energy Reviews 72, p. 1019–1032. [link] [preprint]
[J7] Alexander W. Dowling, Ranjeet Kumar, Victor M. Zavala (2017). A Multi-Scale Optimization Framework for Electricity Market Participation, Applied Energy 190, p. 147-164. [link] [preprint]
[J6] Luis Fabian Fuentes-Cortes, Alexander W. Dowling, Carlos Rubio-Maya, Victor M. Zavala, and Jose Ponce-Ortega (2016). Integrated design and control of multigeneration systems for building complexes, Energy 116.2, p. 1403–1416. [link]
[J5] Alexander W. Dowling, Gerardo Ruiz-Mercado, and Victor M. Zavala (2016). A Framework for Multi-Stakeholder Decision-Making and Conflict Resolution. Computers & Chemical Engineering 90, p. 136 – 150. [link]
[J4] Jinliang Ma, John P. Eason, Alexander W. Dowling, Lorenz T. Biegler, and David C. Miller (2016). Development of a first-principles hybrid boiler model for oxy-combustion power generation system. International Journal of Greenhouse Gas Control 46, p. 136 – 157. [link]
[J3] Alexander W. Dowling, Cheshta Balwani, Qianwen Gao, and Lorenz T. Biegler (2015). Optimization of Sub-Ambient Separation Systems with Embedded Cubic Equation of State Thermodynamic Models and Complementarity Constraints. Computers & Chemical Engineering 81, p. 323 – 343. [link]
[J2] Alexander W. Dowling and Lorenz T. Biegler (2015). A Framework for Large Scale Equation-Oriented Flowsheet Optimization. Computers & Chemical Engineering 72.2, p. 3 – 20. [link]
[J1] Alexander W. Dowling, Sree R. R. Vetukuri, and Lorenz T. Biegler (2012). Large-Scale Optimization Strategies for Pressure Swing Adsorption. AIChE Journal 58.12, p. 3777-3791. [link]
Presentations
2026
Daniel J. Laky, Shammah Lilonfe, Stephen Cini, Shuvashish Mondal, Shilpa Narasimhan, and Alexander W. Dowling. Model Building and Digital Twin Construction using Pyomo.DoE, a Pythonic Tool for Optimal Experimental Design. American Control Conference. New Orleans, Louisiana. Half-Day Workshop. May 26, 2026.
Stephen Cini, Jeremiah Zartman, and Alexander W. Dowling. A Python-Based Framework for Experimental Design in Biomedical Research. Berthiaume Institute for Precision Health (BIPH) Annual Symposium. University of Notre Dame, Notre Dame, IN. Poster Presentation. April 13, 2026.
Vivek Saini, Alexander W. Dowling, Denver Haycock, and William Schneider. Bayesian Optimization of Plasma Kinetic Reaction Conditions. Society for Industrial and Applied Mathematics (SIAM) Conference on Uncertainty Quantification. Minneapolis, MN. Oral Presentation. March 24, 2026.
Shammah Lilonfe and Alexander W. Dowling. Intrusive Uncertainty Quantification and Optimal Experiment Design in the Open-Source Pyomo Ecosystem. Society for Industrial and Applied Mathematics (SIAM) Conference on Uncertainty Quantification. Minneapolis, MN. Oral Presentation. March 24, 2026.
Keshav Kasturi Rangan, Molly Dougher, Laurianne Estrada, Shammah Lilonfe, Pratham Singh, William A. Phillip, and Alexander W. Dowling. Dynamic Modeling and Intrusive Uncertainty Quantification (UQ) for Membrane Separation Systems. ICON Student Research Conference 2026 (ICON 2026). West Lafayette, IN. Poster Presentation. January 30, 2026.
Hainan Wang, Kyla Jones, Daniel Laky, and Alexander W. Dowling. Gaussian Process Surrogates for Robust and Stochastic Optimization in Chemical Systems. ICON Student Research Conference 2026 (ICON 2026). West Lafayette, IN. Lightning Talk (3 min oral + 2 min Q&A) and Poster Presentation. January 30, 2026.
Vivek Saini, Denver Haycock, William Schneider, and Alexander W. Dowling. Data-Driven Surrogate Modeling and Bayesian Optimization for High-Dimensional Plasma Kinetic Systems. ICON Student Research Conference 2026 (ICON 2026). West Lafayette, IN. Oral Presentation. January 29, 2026.
Shilpa Narasimhan, Alexander W. Dowling, and Daniel Laky. Accelerating Model-Based Design of Experiments (MBDoE) within Pyomo.DoE Using Symbolic Differentiation. ICON Student Research Conference 2026 (ICON 2026). West Lafayette, IN. Poster Presentation. January 29, 2026.
2025
Damian Agi, Ikenna Okeke, Alexander Dowling, and Sachin Nimbalkar. From Waste to Ammonia: Modeling, Technoeconomic Analysis, and Global Warming Potential Assessment of Biogas-based Ammonia Production in the U.S. COSE Research Horizons Symposium, University of Notre Dame. Notre Dame, IN. Poster Presentation. December 2025.
Keshav Kasturi Rangan, Molly Dougher, Laurianne Estrada, Shammah Lilonfe, Pratham Singh, William A. Phillip, and Alexander W. Dowling. Dynamic Modeling and Intrusive Uncertainty Quantification (UQ) for Membrane Separation Systems. American Institute of Chemical Engineers Annual Meeting (AIChE 2025). Boston, MA. Poster Presentation. November 5, 2025.
Damian Agi, Ikenna Okeke, Alexander Dowling, and Sachin Nimbalkar. Boosting U.S. Ammonia Competitiveness Via Biogas Utilization: Modeling, Techno-Economic Analysis, and Geospatial Sensitivity Studies. American Institute of Chemical Engineers Annual Meeting (AIChE 2025). Boston, MA. Poster Presentation. November 5, 2025.
Shammah Lilonfe and Alexander W. Dowling. De-Risking the Scale-Up of Novel Critical Minerals Separation. American Institute of Chemical Engineers Annual Meeting (AIChE 2025). Boston, MA. Oral Presentation. November 5, 2025.
Stephen Cini, Jeremiah Zartman, and Alexander W. Dowling. Validating a Cell-Scale Calcium Signaling Digital Twin Using Science-Based Design of Experiments. American Institute of Chemical Engineers Annual Meeting (AIChE 2025). Boston, MA. Oral Presentation. November 5, 2025.
Madelynn J. Watson, Pedro Machado, Aline da Silva, Celma Ribeiro, Claudio Nascimento, and Alexander W. Dowling. Supply Chain and Policy Design for Integrated SAF Production in Brazil: A Bi-level Optimization Approach. American Institute of Chemical Engineers Fall Meeting (AIChE Fall 2025). Boston, MA. Poster Presentation. November 4, 2025.
Madelynn J. Watson, Pedro Machado, Aline da Silva, Celma Ribeiro, Claudio Nascimento, and Alexander W. Dowling. Sustainable Aviation Fuels (SAF) from Bioethanol in Brazil: An Integrated Systems Modeling Approach. American Institute of Chemical Engineers Fall Meeting (AIChE Fall 2025). Boston, MA. Poster Presentation. November 4, 2025.
Molly Dougher, Laurianne Estrada, Jason Yao, Jonathan Aubuchon Ouimet, William A. Phillip, Chrysanthos E. Gounaris, and Alexander W. Dowling. Modeling Multi-Component Critical Material Feed Streams to Enable Design and Optimization of Multi-Stage Diafiltration Cascades. American Institute of Chemical Engineers Annual Meeting (AIChE 2025). Boston, MA. Oral Presentation. November 3, 2025.
Damian Agi and Alexander Dowling. Multiscale Equation-Oriented Optimization With Embedded Microkinetic Information. Center for Innovative and Strategic Transformation of Alkane Resources (CISTAR). Chicago, IL. Poster Presentation. September 4, 2025.
Vivek Saini and Alexander Dowling. Data-Driven Bayesian Optimization of Plasma Kinetics to Maximize Ethylene Production. Center for Innovative and Strategic Transformation of Alkane Resources (CISTAR). Chicago, IL. Poster Presentation. September 4, 2025.
Madelynn J. Watson, Pedro Machado, Aline da Silva, Celma Ribeiro, Claudio Nascimento, and Alexander W. Dowling. Supply Chain Optimization and Policy Design for Bio-jet Fuel Capacity Development in Brazil. Center for Innovative and Strategic Transformation of Alkane Resources Biannual Meeting (CISTAR Biannual 2025). Chicago, IL. Poster Presentation. September 4, 2025.
Molly Dougher, Laurianne Estrada, Jason Yao, Jonathan Aubuchon Ouimet, William A. Phillip, Chrysanthos E. Gounaris, and Alexander W. Dowling. Modeling Multi-Component Critical Material Feed Streams to Enable Design and Optimization of Multi-Stage Diafiltration Cascades. CBE-GSO Symposium. South Bend, IN. Poster Presentation. September 2025.
Damian Agi, Ikenna Okeke, Alexander Dowling, Sachin Nimbalkar, and Joe Cresko. Process Modeling and Systems Analysis for Sustainable Ammonia Production with Biogas Valorization. 11th Annual CBE Graduate Research Symposium, University of Notre Dame. Notre Dame, IN. Poster Presentation. September 2025.
Stephen Cini, Jeremiah Zartman, and Alexander W. Dowling. Engineering Predictive Biology: Science-Based Experimental Design for Digital Twin Development. 11th Annual CBE Graduate Research Symposium, University of Notre Dame. Notre Dame, IN. Poster Presentation. September 2025.
Xinhe Chen, Daniel Laky, Yi Lu, and Alexander W. Dowling. An Improved Price-taker Approach for the Optimization of Integrated Energy Systems. Advanced PSE+ Stakeholder Summit. Pittsburgh, PA. Poster Presentation. September 3–4, 2025.
Shammah Lilonfe and Alexander W. Dowling. Science-Based Design of Experiments to Facilitate the Scale-Up of Novel Critical Minerals and Materials Separation. Advanced PSE+ Stakeholder Summit. Pittsburgh, PA. Poster Presentation. September 3–4, 2025.
Shuvashish Mondal, Ryan Hughes, Daniel Laky, and Alexander Dowling. Uncertainty Quantification and Sensitivity Analysis in CO2 Removal Models Using Pyomo.DoE. Advanced PSE+ Stakeholder Summit. Pittsburgh, PA. Poster Presentation. September 3–4, 2025.
Daniel Laky and Alexander Dowling. New Capabilities in ParmEst and Pyomo.DoE. Advanced PSE+ Stakeholder Summit. Pittsburgh, PA. Poster Presentation. September 3–4, 2025.
Stephen Cini, Jeremiah Zartman, and Alexander W. Dowling. Engineering Predictive Biology: Science-Based Experimental Design for Digital Twin Development. National Institute for Theory and Mathematics in Biology MathBio Convergence Conference (NITMB MathBio Convergence). Chicago, IL. Poster Presentation. August 11, 2025.
Vivek Saini and Alexander W. Dowling. Data-Driven Experimental Design for Plasma Kinetic Reaction Studies Using Gaussian Processes and Bayesian Optimization. Mid-Atlantic Process Control Academy 2025 (MPC Academy 2025). Detroit, MI. Oral Presentation. August 8, 2025.
Shammah Lilonfe and Alexander W. Dowling. Parameter Estimation and Science-based Design of Experiments in the Pyomo Ecosystem: A Tutorial using the Temperature Control Lab. Mid-Atlantic Process Control Academy 2025 (MPC Academy 2025). Detroit, MI. Oral Presentation. August 8, 2025.
Stephen Cini and Alexander W. Dowling. Adventures in Parameter Estimation for Complex Dynamical Systems. Mid-Atlantic Process Control Academy 2025 (MPC Academy 2025). Detroit, MI. Oral Presentation. August 7, 2025.
Keshav Kasturi Rangan and Alexander W. Dowling. Physics-Informed Digital Twins: Optimizing Diafiltration Membrane Systems and Controlling Stokes Traps. Mid-Atlantic Process Control Academy 2025 (MPC Academy 2025). Detroit, MI. Oral Presentation. August 7, 2025.
Keshav Kasturi Rangan and Alex Dowling. Digital Twins for Process Systems Engineering. Mid-Atlantic Process Control Academy 2025 (MPC Academy 2025). Detroit, MI. Oral Presentation. August 7, 2025.
Alexander W. Dowling. Teaching Digital Twins in Process Control Using the Temperature Control Lab. Mid-Atlantic Process Control Academy 2025 (MPC Academy 2025). Detroit, MI. Oral Presentation. August 7, 2025.
K. D. Jones and A. W. Dowling. Identifiability, Inference, & Information: Statistical Foundations of Hybrid Modeling. Great Lakes Process Systems Engineering (PSE) Student Workshop (GLPSE 2025). Columbus, OH. Oral Presentation. May 2025.
Daniel Laky and Alexander Dowling. Improved Functionality and Computational Tractability of Optimal Design of Experiments in Pyomo. Great Lakes Process Systems Engineering (PSE) Student Workshop (GLPSE 2025). Keynote Presentation. May 4, 2025.
Kyla Jones and Daniele Schiavazzi. Variational Inference for Semi-parametric “Hybrid” Models. Great Lakes Process Systems Engineering (PSE) Student Workshop (GLPSE 2025). Oral Presentation. May 4, 2025.
Xinhe Chen and Alexander Dowling. Design and Optimization of Integrated Energy Systems with Market Interactions. Great Lakes Process Systems Engineering (PSE) Student Workshop (GLPSE 2025). Oral Presentation. May 3, 2025.
Alexander W. Dowling and Xinhe Chen and Daniel J. Laky. Optimizing Innovative Energy Systems of the Future. AIChE Spring Meeting and 21st Global Congress on Process. Dallas, TX. Oral Presentation. April 2025.
Daniel Laky and Alexander W. Dowling. Scalable Computational Methods for Sequential, Science-Based Design of Experiments Using Pyomo.DoE. American Institute of Chemical Engineers Spring Meeting (AIChE Spring 2025). Dallas, TX. Oral Presentation. April 8, 2025.
Molly Dougher, Jason Yao, Chrysanthos Gounaris, and Alexander W. Dowling. Process Systems Engineering-Informed Design and Scale-Up of Multi-stage Diafiltration Cascades for Lithium and Cobalt Recovery from Spent Lithium-Ion Batteries. American Institute of Chemical Engineers Spring Meeting (AIChE Spring 2025). Dallas, TX. Oral Presentation. April 8, 2025.
Madelynn J. Watson, Pedro Machado, Aline da Silva, Celma Ribeiro, Claudio Nascimento, and Alexander W. Dowling. Supply Chain Optimization and Policy Design for Integrating Bio-jet Fuel Capacity in the Brazilian Sugarcane Industry. American Institute of Chemical Engineers Spring Meeting (AIChE Spring 2025). Dallas, TX. Oral Presentation. April 8, 2025.
2024
Stephen Cini, Jeremiah Zartman, Alexander W. Dowling. Design of Experiments Facilitates Development of Digital Twins in Systems Biology. Midwest Drosophila Conference. Monticello, IL. Poster presentation. November 2024.
Alexander W. Dowling, Teaching Data-Centric Process Control Using Experiential Learning, AIChE Annual Meeting, San Diego, CA, October 30, 2024
Jones, K., Dowling, A.W., Schiavazzi, D.E., Variational Inference for Semi-parametric “Hybrid” Models. American Institute of Chemical Engineers Annual Meeting. San Diego, CA. Poster, October 2024.
Chen, X., Gao, X., Tumbalam-Gooty, R., Guittet, D., Knueven, B., Siirola, J. D., & Dowling, A. W. Beyond Price-Taker: Multiscale Optimization of a Wind-Battery Integrated Energy System within the Wholesale Electricity Market. American Institute of Chemical Engineers Annual Meeting (AIChE 2024). San Diego, CA. Oral. October 2024.
Chen, X. & Dowling, A. W. Design and Optimization of Integrated Energy Systems with Market Interactions. American Institute of Chemical Engineers Annual Meeting (AIChE 2024). San Diego, CA. Poster. October 2024.
Jonathan Ouimet, Laurianne Lair, Xinhong Liu, Merlin Bruening, Alexander Dowling, William Phillip. Opportunities for Membrane Materials and Processes to Advance Sustainable Critical Mineral Separations. AIChE Annual Meeting, San Diego, CA, October 29, 2024.
Ryan Hughes, Debangsu Bhattacharyya, Jialu Wang, Alexander Dowling, Benjamin P. Omell and Michael S. Matuszewski. Modeling, Optimization, and Design of Experiments of a Rotary Packed Bed Contactor for NGCC–Based CO2 Capture Using Solid Sorbents. AIChE Annual Meeting, San Diego, CA, October 30, 2024.
Madelynn J. Watson, Pedro Machado, Aline da Silva, Celma Ribeiro, Claudio Nascimento, Alexander W. Dowling. Strategic Supply Chain Optimization for Integrating Bio-jet Capacity in the Brazilian Sugarcane Industry. American Institute of Chemical Engineers Annual Meeting (AIChE 2024). San Diego, CA. Oral presentation. October 2024.
Madelynn J. Watson, Pedro Machado, Aline da Silva, Celma Ribeiro, Claudio Nascimento, Alexander W. Dowling. Sustainable Aviation Fuels from Ethanol: An Integrated Systems Modeling Approach. American Institute of Chemical Engineers Annual Meeting (AIChE 2024). San Diego, CA. Poster. October 2024
Jason Yao, Molly Dougher, Andrew Lee, Alexander W. Dowling, and Chrysanthos E. Gounaris. Designing Operationally Flexible Diafiltration Membrane Systems for Critical Mineral Separations. American Institute of Chemical Engineers Annual Meeting (AIChE 2024). San Diego, CA. Oral Presentation. October 29, 2024.
Laky, D., Klise, K., Martin, S., Wang, J., Nicholson, B., Siirola, J., and Dowling, A. Pyomo.DoE 2.0: Improved usability and computational efficiency for science-based design of experiments (SBDoE), AIChE Annual Meeting, San Diego, CA, 2024.
Laky, D., Gooty, R.T., Wang, M., Burgard, A.P., and Dowling, A.W. Flexible technoeconomic analysis tools for evaluating emerging power generation technologies, AIChE Annual Meeting, San Diego, CA, 2024.
Molly Dougher, Jason Yao, Andrew Lee, Laurianne Lair, Jonathan Aubuchon Ouimet, William A. Phillip, Chrysanthos E. Gounaris, and Alexander W. Dowling. Process systems engineering enables efficient and sustainable membrane-based critical material separations. American Institute of Chemical Engineers Annual Meeting (AIChE 2024). San Diego, CA. Oral Presentation. October 30, 2024.
Laky, D., Klise, K., Martin, S., Wang, J., Nicholson, B., Siirola, J., and Dowling, A. Pyomo.DoE 2.0: A tutorial on model-building using design of experiments and parameter estimation in Pyomo, SIAM Conference on Mathematics of Data Science, Atlanta, GA, USA, October 21-25, 2024.
Damian T Agi, Ikenna J Okeke, Alexander W Dowling, Sachin U. Nimbalkar, Joe Cresko. Process Modeling and Technoeconomic Assessment of Biogas Reforming Pathways for Low-Carbon Ammonia Production. Center for Innovation and Strategic Transformation of Alkane Resources (CISTAR) 2024 Biannual Meeting, University of New Mexico, Albuquerque, NM. Poster presentation. October 9 – 11, 2024.
Chen, X., Gao, X., Guittet, D., Tumbalam-Gooty, R., Knueven, B., Siirola, J. D., & Dowling, A. W. Beyond Price-Taker: Multiscale Optimization of Wind and Battery Integrated Energy Systems. Advanced PSE+ Stakeholder Summit. Pittsburgh, PA. Poster, September 2024.
Damian T Agi, Ikenna J Okeke, Alexander W Dowling, Sachin U. Nimbalkar, Joe Cresko. Process Modeling and Technoeconomic Assessment of Biogas Reforming Pathways for Low-Carbon Ammonia Production. 10th Annual CBE Graduate Research Symposium, University of Notre Dame, IN. Poster presentation. September 2024.
Stephen Cini, Jeremiah Zartman, Alexander W. Dowling. Design of Experiments Facilitates Development of Digital Twins in Systems Biology. 10th Annual CBE Graduate Research Symposium, University of Notre Dame, IN. Poster presentation. September 2024.
Damian T Agi, Ikenna J Okeke, Alexander W Dowling, Sachin U. Nimbalkar, Joe Cresko. Decarbonization of the US ammonia industry using biogas as alternative feedstock: Design and GHG emissions accounting. American Center for Life Cycle Assessment Conference (ACLCA 2024) Snowbird, Utah. Oral presentation, September 23 – 26, 2024.
Molly Dougher, Laurianne Lair, Jonathan Aubuchon Ouimet, William A. Phillip, Thomas J. Tarka, and Alexander W. Dowling. Opportunities for Process Intensification with Membranes to Promote Circular Economy Development for Critical Minerals. Foundations of Computer-Aided Process Design (FOCAPD 2024). Breckenridge, CO. Poster. July 16, 2024.
Madelynn J. Watson, Pedro Machado, Aline da Silva, Celma Ribeiro, Claudio Nascimento, Alexander W. Dowling. Sustainable Aviation Fuels (SAF) from Ethanol: An Integrated Systems Modeling Approach. Foundations of Computer-Aided Process Design (FOCAPD 2024). Breckenridge, CO. Poster. July 16, 2024.
Xinhe Chen, Radhakrishna Tumbalam-Gooty, Darice Guittet, Bernard Knueven, John D. Siirola, and Alexander W. Dowling. Conceptual Design of Integrated Energy Systems with Market Interaction Surrogate Models. Foundations of Computer-Aided Process Design (FOCAPD 2024). Breckenridge, CO. Poster. July 15, 2024.
Daniel J. Laky, Radhakrishna Tumbalam-Gooty, Tyler Jaffe, Marcus Holly, Adam Atia, Xinhe Chen, and Alexander W. Dowling. IDAES-PSE Software Tools for Optimizing Energy Systems and Market Interactions. Foundations of Computer-Aided Process Design (FOCAPD 2024). Breckenridge, CO. Poster. July 15, 2024.
Damian T. Agi, Alexander W. Dowling, and Hani A.E. Hawa. Equation-Oriented Modeling and Technoeconomic Analysis of Water-Gas Shift Membrane Reactors (WGS-MR) for Blue Hydrogen Production. Foundations of Computer-Aided Process Design (FOCAPD 2024). Breckenridge, CO. Poster presentation. July 16, 2024.
Laky, D., and Dowling, A.W. Optimizing experiments to build science-based models using Pyomo.DoE, COMSEL Research Symposium, University of Notre Dame, May 13th, 2024.
Jones, K.D. and Dowling, A.W. On the identifiability of hybrid models: application to adsorption modeling. Department of Chemical and Biomolecular Engineering Graduate Seminar, Notre Dame, Notre Dame, IN. Oral presentation.
2023
Xinhe Chen, Radhakrishna Tumbalam-Gooty, Darice Guittet, Edna Soraya Rawlings, Naresh Susarla, Xian Gao, Ludovico Bianchi, Keith Beattie, Bernard Knueven, Jaffer Ghouse, John D. Siirola, David C. Miller and Alexander W. Dowling. Multiperiod Conceptual Design of Integrated Energy Systems with Market Interaction Surrogate Models. American Institute of Chemical Engineers Annual Meeting (AIChE 2023), Orlando, FL. Oral presentation. November 8, 2023. [link]
Damian T. Agi, Alexander W. Dowling, Hani A.E. Hawa, and Kyle Hawley. Nonlinear Differential Algebraic Model of a Water-Gas Shift Membrane Reactor for Low-Carbon Hydrogen Production. American Institute of Chemical Engineers Annual Meeting (AIChE 2023), Orlando, FL. Oral presentation. November 7, 2023. [link]
Montana N. Carlozo, Ning Wang, Bridgette J. Befort, Edward J. Maginn, and Alexander W. Dowling. Bayesian Optimization for Nonlinear Model and Force Field Calibration. American Institute of Chemical Engineers Annual Meeting (AIChE 2023). Orlando, FL. Oral presentation. November 6, 2023. [link]
Madelynn J. Watson, Pedro Machado, Aline da Silva, Celma Ribeiro, Claudio Nascimento, Alexander W. Dowling. A Risk-Conscious Optimization Model for Sustainable Aviation Fuel Production in the Brazilian Sugarcane Industry. American Institute of Chemical Engineers Annual Meeting (AIChE 2023). Orlando, FL. Oral presentation. November 6, 2023. [link]
Damian T. Agi, Alexander W. Dowling, and Hani A.E. Hawa. Techno-economic Optimization of Pd-based Water-Gas Shift Membrane Reactors for Low-Cost Blue H2. National Organization for the Professional Development of Black Chemists and Chemical Engineers (NOBCChE) Conference, New Orleans, Louisiana. Poster. September 13, 2023.
Kyla D. Jones and Alexander W. Dowling. Optimization Under Uncertainty with Bayesian Hybrid Models: Application to Kinetic Modeling. Modeling and Optimization: Theory and Applications (MOPTA). Bethlehem, PA. Oral presentation. August 16, 2023. [link]
Xinhong Liu, Jonathan A. Ouimet, William A. Phillip, and Alexander W. Dowling. Optimization of Reactive Ink Formulation for Controlled Membrane Patterning. ACS Fall 2023. San Francisco, CA. Poster. August 15, 2023. [link]
Xinhe Chen, Radhakrishna Tumbalam-Gooty, Darice Guittet, and Alexander W. Dowling. Multiperiod Optimization of Integrated Energy Systems with Machine-Learning Surrogates to Predict Market Impacts. Foundations of Process/product Analytics and Machine learning (FOPAM). Davis, CA. Poster presentation. August 2, 2023. [link]
Hailey G. Lynch, Jialu Wang, and Alexander W. Dowling. Model-Based Design of Experiments and Pyomo.DoE. Foundations of Process/product Analytics and Machine learning (FOPAM). Davis, CA. Poster presentation. August 2, 2023. [link]
Ke Wang, and Alexander W. Dowling. Optimization Of Modern Manufacturing for Thermoelectric Material Using Machine Learning And Data Science. Foundations of Process/product Analytics and Machine learning (FOPAM). Davis, CA. Poster presentation. August 2, 2023.
Kyla D. Jones, Shivam Kumar, and Alexander W. Dowling. On the Identifiability of Hybrid Models: Application to Adsoprtion Modeling. Foundations of Process/product Analytics and Machine learning (FOPAM). Davis, CA. Poster presentation. August 2, 2023. [link]
Xinhe Chen, Radhakrishna Tumbalam-Gooty, Darice Guittet, and Alexander W. Dowling. Multiperiod Optimization of Integrated Energy System with Machine Learning Surrogates to Predict Market Impacts. Foundations of Process/product Analytics and Machine learning (FOPAM). Davis, CA. Poster presentation. August 2, 2023. [link]
Montana N. Carlozo, Bridgette J. Befort, Edward J. Maginn, and Alexander W. Dowling. Bayesian Optimization for Nonlinear Model Calibration. Foundations of Process/product Analytics and Machine learning (FOPAM). Davis, CA. Poster presentation. August 2, 2023. [link]
Montana N. Carlozo, Bridgette J. Befort, Edward J. Maginn, and Alexander W. Dowling. Bayesian Optimization Formulations for Nonlinear Model Calibration. 5th i-CoMSE Workshop: Machine Learning for Molecular Science. Twin Cities, MN. Poster presentation. July 13, 2023. [link]
Montana N. Carlozo, Bridgette J. Befort, Edward J. Maginn, and Alexander W. Dowling. Bayesian Optimization Formulations for Nonlinear Model Calibration. SIAM Conference on Optimization (SIAM OP 2023). Seattle, WA. Oral presentation. May 31, 2023. [link]
Kyla D. Jones and Alexander W. Dowling. Optimization Under Uncertainty with Bayesian Physicochemical Models. SIAM Conference on Optimization (SIAM OP 2023). Seattle, WA. Oral presentation. May 31, 2023.
Xinhong Liu, William A. Phillip, and Alexander W. Dowling. Data Analytics for Membrane Material Innovations. SIAM Conference on Optimization (SIAM-OP 2023). Seattle, WA. Poster. May 31, 2023. [link]
Jialu Wang and Alexander W. Dowling. Characterizing the Pareto Optimal Trade-off between Model-based Information Content and Measurements Cost. SIAM Conference on Optimization (SIAM-OP 2023). Seattle, WA. Poster. May 31, 2023. [link]
Jialu Wang and Alexander W. Dowling. Characterizing the Pareto Optimal Trade-off between Model-based Information Content and Measurements Cost. Foundations of Computer Aided Process Operations / Chemical Process Control (FOCAPO/CPC 2023). San Antonio, TX. Poster. January 9, 2023.
Xinhong Liu, Jonathan A. Ouimet, Laurianne Lair, William A. Phillip, and Alexander W. Dowling. Optimizing Membrane Characterization using the DATA (Diafiltration Apparatus for high-Throughput Analysis) Framework. Foundations of Computer Aided Process Operations / Chemical Process Control (FOCAPO/CPC 2023). San Antonio, TX. Poster. January 9, 2023.
Kyla D. Jones, Elvis A. Eugene, and Alexander W. Dowling. Decision Making with Hybrid Models Under Parameter and Epistemic Uncertainty: Reactor Optimization Case Study. Foundations of Computer Aided Process Operations / Chemical Process Control (FOCAPO/CPC 2023). San Antonio, TX. Poster. January 9, 2023.
2022
Elvis A. Eugene*, Kyla D. Jones, Jialu Wang, and Alexander W. Dowling. Optimization Under Uncertainty with Bayesian Hybrid Models. AIChE Annual Meeting. Phoenix, AZ. November 17, 2022. [link]
Jialu Wang* and Alexander W. Dowling. Pyomo.DoE: An Open-source Package for Model-based Design of Experiments in Python. AIChE Annual Meeting. Phoenix, AZ. November 16, 2022. [link]
Bridgette Befort*, Ryan DeFever, Edward Maginn, Alexander Dowling. Machine Learning-Enabled Optimization of Classical Molecular Models. AIChE Annual Meeting. Phoenix, AZ, November 14, 2022.
Xinhong Liu*, Jonathan A. Ouimet, Laurianne Lair, William Phillip and Alexander Dowling. Improved Characterization of Membrane Transport Properties through Advanced Data Analytics. AIChE Annual Meeting. Phoenix, AZ. November 14th, 2022. [link]
Kanishka Ghosh*, Santiago D. Salas, Jennifer B. Dunn, and Alexander W. Dowling. Nonlinear Reactor Design Optimization with Embedded Microkinetic Information for Sustainable Shale Gas Processing. AIChE Annual Meeting. Phoenix, AZ. November 14th, 2022. [link]
Nicole P Cortes*, John C. Eslick, Alexander Noring, Naresh Susarla, Chinedu Okoli, Miguel A Zamarripa, Arun Iyengar, Anthony P. Burgard, David C. Miller, Douglas Allan, and Alexander W. Dowling. Co-optimizing the Design and Operation Strategy of Solid Oxide Fuel Cell-based Hydrogen-Electricity Co-Production Systems. AIChE Annual Meeting. Phoenix, AZ. November 13, 2022.
Xinhong Liu*, Jonathan A. Ouimet, Laurianne Lair, William Phillip and Alexander Dowling. Improved Characterization of Membrane Transport Properties through Data Analytics. INFORMS Annual Meeting. Indianapolis, IN. October 17, 2022. [link]
Kyla D. Jones*, Elvis A. Eugene, and Alexander W. Dowling. Optimization Under Uncertainty with Bayesian Hybrid Models. INFORMS Annual Meeting. Indianapolis, IN. Flash Talk. October 19, 2022. [link]
Kanishka Ghosh* and Alexander W. Dowling. Nonlinear Reaction Design Optimization with Embedded Microkinetic Information. INFORMS Annual Meeting. Indianapolis, IN. October 17, 2022. [link]
Montana N. Carlozo*, Bridgette J. Befort, Nilay Kumar, Edward J. Maginn, and Alexander W. Dowling. Bayesian Optimization Formulations for Nonlinear Model Calibration. INFORMS Annual Meeting. Indianapolis, IN. Poster. October 16, 2022. [link]
Nicole P Cortes*, John C. Eslick, Alexander Noring, Naresh Susarla, Chinedu Okoli, Miguel A Zamarripa, Arun Iyengar, Anthony P. Burgard, David C. Miller, Douglas Allan, and Alexander W. Dowling. Co-optimizing the Design and Operation Strategy of Solid Oxide Fuel Cell-based Hydrogen-Electricity Co-Production Systems. INFORMS Annual Meeting. Indianapolis, IN. October 16, 2022. [link]
Xinhe Chen* and Alexander W. Dowling. Multi-Period Integrated Energy System Conceptual Design Problem with Market Surrogates. INFORMS Annual Meeting, Indianapolis, IN. October 16, 2022. [link]
Ke Wang* and Alexander W. Dowling. Bayesian Optimization in Material Science and Applications to Thermoelectric Materials. INFORMS Annual Meeting, Indianapolis, IN. October 16, 2022. [link]
Jialu Wang* and Alexander W. Dowling. Pyomo.DoE: An Open-source Package for Model-based Design of Experiments in Python. INFORMS Annual Meeting, Indianapolis, IN. October 16, 2022. [link]
Damian T. Agi*, Alexander W. Dowling, and Hani A.E. Hawa. Mathematical Modeling and Optimization of a Water-Gas Shift Membrane Reactor for Blue H2 Production. NOBCChE Conference, Orlando, FL. Poster. September 28,2022.
Xinhong Liu*, Jonathan A. Ouimet, Laurianne Lair, William Phillip and Alexander Dowling. Improved Characterization of Membrane Transport Properties through Data Analytics. SIAM Mathematics of Data Science. San Diego, CA. September 28, 2022. [link]
Jialu Wang* and Alexander W. Dowling. Pyomo.DoE: An Open-source Package for Model-based Design of Experiments in Python. SIAM Mathematics of Data Science. San Diego, CA. September 28, 2022. [link]
Kyla D. Jones*, Elvis A. Eugene, and Alexander W. Dowling. Uncertainty Quantification and Optimization with Bayesian Hybrid Models for Chemical Sciences, Engineering, and Beyond. SIAM Mathematics of Data Science. San Diego, CA. Poster. September 28, 2022. [link]
Damian D. Agi*, Alexander W. Dowling, and Hani A. E. Hawa. Mathematical Modeling and Optimization of a Water-Gas Shift Membrane Reactor for Blue H2 Production. ND CBE 8th Annual Research Symposium. Poster. September 23, 2022.
Montana N. Carlozo*, Bridgette J. Befort, Nilay Kumar, Edward J. Maginn, and Alexander W. Dowling. Bayesian Optimization Formulations for Nonlinear Model Calibration. ND CBE 8th Annual Research Symposium. Poster. September 23, 2022.
Nicole P Cortes*, John C. Eslick, Alexander Noring, Naresh Susarla, Chinedu Okoli, Miguel A Zamarripa, Arun Iyengar, Anthony P. Burgard, David C. Miller, Douglas Allan, and Alexander W. Dowling. Co-optimizing the Design and Operation Strategy of Solid Oxide Fuel Cell-based Hydrogen-Electricity Co-Production Systems. ND CBE 8th Annual Research Symposium. Poster. September 23, 2022.
Kyla D. Jones*, Elvis A. Eugene, and Alexander W. Dowling. Kennedy & O'Hagan Hybrid Models for Decision Making Under Uncertainty. ND CBE 8th Annual Research Symposium. Poster. September 23, 2022.
Jialu Wang, Alexander W. Dowling*. Pyomo.DoE: Model-based Design of Experiments using Pyomo. International Conference on Continuous Optimization (ICCOPT/MOPTA), Bethlehem, PA. Oral Presentation. July 28, 2022.
Xinhong Liu*, Alexander Pérez, John R. Hoffman, William A. Phillip, Alexander W. Dowling. Optimization of Reactive Ink Formulation for Additive Manufacturing of Charged Membranes. International Conference on Continuous Optimization (ICCOPT/MOPTA), Bethlehem, PA. Poster. July 25, 2022.
Nicole P Cortes*, John C. Eslick, Alexander Noring, Naresh Susarla, Chinedu Okoli, Miguel A Zamarripa, Arun Iyengar, Anthony P. Burgard, David C. Miller, Douglas Allan, and Alexander W. Dowling. Co-optimizing the Design and Operation Strategy of Solid Oxide Fuel Cell-based Hydrogen-Electricity Co-Production Systems. International Conference on Continuous Optimization (ICCOPT/MOPTA), Bethlehem, PA. Poster. July 25, 2022.
Ke Wang* and Alexander W. Dowling. Constrained Bayesian optimization for AgSe Flash Sintering. International Conference on Continuous Optimization (ICCOPT/MOPTA), Bethlehem, PA. Poster. July 25, 2022.
Ke Wang*, Minxiang Zeng, Zeyu Liu, Yanliang Zhang, Tengfei Luo, Alexander W. Dowling. Comparison of Gaussian Process Regression Models for AgSe Flash Sintering. PSE2021+, Kyoto, Japan. Poster.
Bridgette J. Befort*, Ryan S. DeFever, Edward J. Maginn, and Alexander W. Dowling. Machine Learning-Enabled Optimization of Force Fields for Hydrofluorocarbons. PSE2021+. June 23, 2022.
Nicole P Cortes*, Xian Gao, Bernard Knueven and Alexander W. Dowling. Estimating Energy Market Schedules Using Historical Price Data. PSE 2021+. Poster. June 23, 2022.
Jialu Wang*, Elvis A. Eugene, and Alexander W. Dowling. Scalable stochastic programming for Bayesian hybrid models. PSE2021+. Poster. June 23, 2022.
Xinhong Liu*, Jialu Wang, Jonathan A. Ouimet, William A. Phillip, Alexander W. Dowling. Membrane Characterization with Model-Based Design of Experiment. PSE2021+. June 23, 2022.
Xinhong Liu*, Riju De, Alexander Pérez, John R. Hoffman, William A. Phillip, Alexander W. Dowling. Mathematical Modelling of Reactive Inks for Additive Manufacturing of Charged Membranes. PSE2021+. Poster. June 23, 2022.
Montana N. Carlozo*, Bridgette J. Befort, Nilay Kumar, Edward J. Maginn, and Alexander W. Dowling. Applications of Bayesian Optimization for the Rapid Calibration of Molecular Modeling Force Fields. Midwest Thermodynamics and Statistical Mechanics (MTSM) Conference. Poster. June 6, 2022.
Alexander Dowling. (Contributors: Alejandro Garciadiego, Bridgette Befort, Gabriela Franco, Mozammel Mazumder, Ryan DeFever, Garret Tow, Edward Maginn). From Data to Process Design: Modeling Azeotropic Separation of High Global Warming Potential Hydrofluorocarbon Refrigerants Using Ionic Liquids. 26th Annual Green Chemistry & Engineering Conference. Reston, VA. June 6, 2022.
Jialu Wang* and Alexander W. Dowling. Pyomo.DOE: Model-Based Design of Experiments in Pyomo. Advanced Manufacturing and Processing Conference, Bethesda, MD. June 3, 2022.
Elvis A. Eugene*, Jialu Wang, Xian Gao, Alexander Dowling. Optimization under Epistemic Uncertainty Using Bayesian Hybrid Models. SIAM Conference on Uncertainty Quantification, April 12 - 15, 2022.
Bridgette J. Befort*, Ryan S. DeFever, Alexander W. Dowling, and Edward J. Maginn. Machine Learning-Enabled Automated Optimization of Force Fields. American Chemical Society Spring Conference, San Diego, CA. March 23, 2022.
2021
Alexander W. Dowling. Rethinking Computing Education with Vocareum and Canvas. ND Learning Faculty Presentation. November 18, 2021. [slides]
Jialu Wang* and Alexander W. Dowling. Model-Based Design of Experiments in Pyomo and Its Application to Adsorptive CO2 Capture Systems. AIChE Annual Meeting, Boston, MA, November 11, 2021. [link]
Bridgette J. Befort*, Alejandro Garciadiego, Gabriela Franco, Edward J. Maginn, and Alexander W. Dowling. Managing Model and Data Alternatives with the Design of Ionic Liquid Enabled Separations of High Global Warming Potential Hydrofluorocarbon Refrigerants. AIChE Annual Meeting, Boston, MA, November 11, 2021. [link]
Elvis A. Eugene*, Noah Wamble, William A. Phillip, and Alexander W. Dowling. Superstructure Optimization Enabled Design Heuristics and Material Property Targets for Continuous Diafiltration Membrane Cascades, AIChE Annual Meeting, Boston, MA, November 11, 2021. [link]
Kanishka Ghosh* and Alexander W. Dowling. Beyond R2: Cautionary Tales Using Reduced-Order Kinetic Models for Reactor Optimization, AIChE Annual Meeting, Boston, MA, November 10, 2021. [link]
Elvis A. Eugene*, William A. Phillip, and Alexander W. Dowling. Material Property Targets for Emerging Adsorptive Water Treatment and Resource Recovery Systems, AIChE Annual Meeting, Boston, MA, November 10, 2021. [link]
Jordan Jalving, Jaffer Ghouse, Bernard Knueven, John Siirola, David C. Miller, Alexander W. Dowling*. Toward Future Energy Generation Systems: Multi-Scale Optimization with Market Interactions, AIChE Annual Meeting, Boston, MA, November 10, 2021. [link]
Alejandro Garciadiego*, Tengfei Luo, and Alexander W. Dowling. Molecular Design Targets and Optimization of Low-Temperature Thermal Desalination Systems. AIChE Annual Meeting, Boston, MA, November 9, 2021. [link]
Xinhong Liu*, Jonathan A. Ouimet, Elvis Eugene, William Phillip and Alexander Dowling. High Throughput Characterization of Membrane Transport Properties through Data Analytics. AIChE Annual Meeting, Boston, MA, November 9, 2021. [link]
Elvis A. Eugene* and Alexander W. Dowling. Decision-Making Under Epistemic Uncertainty Using Bayesian Hybrid Models. AIChE Annual Meeting, Boston, MA, November 8, 2021. [link]
Xian Gao* and Alexander W. Dowling. A Multi-Scale Modeling Paradigm for Energy System Operation and Design. AIChE Annual Meeting, Boston, MA, November 7, 2021. [link]
Xian Gao*, Nicole Cortes and Alexander W. Dowling. Optimization Workflows to Quantify the Resource-grid Interactions in Wholesale Energy Markets. INFORMS Annual Meeting, Anaheim, CA, Oct. 24, 2021.
Bridgette Befort*, Ryan DeFever, Garret Tow, Alexander Dowling, Edward Maginn. Machine Learning Directed Optimization of Force Fields. SIAM Conference on Optimization, July 22, 2021.
Bridgette Befort*, Ryan DeFever, Garret Tow, Alexander Dowling, Edward Maginn. Efficient Force Field Tuning for Predicting Thermophysical Properties. NIST 21st Symposium on Thermophysical Properties, June 24, 2021.
Alejandro Garciadiego*, Bridgette Befort*, Ryan DeFever, Gabriela Franco, Edward Maginn, Alexander Dowling. From Data to Design: Modeling and Screening Ionic Liquids for the Design of Separation Processes Enabling the Responsible Recycle of Azeotropic Hydrofluorocarbon Refrigerant Mixtures. ESCAPE CAPE Forum, June 11, 2021.
Xinhong Liu*, Jonathan Ouimet, Elvis Eugene, William Phillip, Alexander Dowling. Dynamic Modeling and Nonlinear Parameter Estimation of Nanofiltration Membranes. AIChE Virtual Spring Meeting, April 22, 2021.
Bridgette Befort*, Ryan DeFever, Garret Tow, Alexander Dowling, Edward Maginn. Machine-Learning Enabled Optimization of Force Fields. AIChE Virtual Spring Meeting, April 22, 2021.
Noah Wamble*, Elvis Eugene, William Phillip, Alexander Dowling. Elucidating Diafiltration Membrane Cascade Design Rules with Superstructure Optimization. AIChE Virtual Spring Meeting, April 21, 2021.
2020
Bridgette Befort*, Ryan DeFever, Alexander Dowling, Edward Maginn. Molecular Modeling to Aid the Separation of Azeotropic Mixtures of High Global Warming Potential Hydrofluorocarbon Refrigerants Using Ionic Liquids. AIChE Annual Meeting, November 16, 2020. [link]
Alejandro Garciadiego del Rio*, Bridgette Befort, Edward Maginn and Alexander W. Dowling, Process Design Under Uncertainty for Novel Separations of Azeotropic High Global Warming Potential Hydrofluorocarbon Refrigerants Using Ionic Liquids, AIChE Annual Meeting, November 17, 2020.
Jialu Wang*, Ryan Hughes, Debangsu Bhattacharyya, and Alexander W. Dowling. Design of Experiments and Uncertainty Quantification for adsorptive CO2 Capture Systems. AIChE Annual Meeting, November 20, 2020. Poster. [link]
Elvis A. Eugene*, Xian Gao, and Alexander W. Dowling. Bayesian Learning from Hybrid Models and Their Applications in Thermodynamics and Reaction Engineering. AIChE Annual Meeting, November 19, 2020. [link]
Xian Gao* and Alexander W. Dowling. Optimal Scheduling And Control Of Hybrid Energy Systems In Multiscale Electricity Markets. AIChE Annual Meeting, November 19, 2020. [link]
Elvis A. Eugene*, Xinhong Liu, William A. Phillip, and Alexander W. Dowling. Molecules to Systems Design of Advanced Membrane Materials and Technologies. AIChE Annual Meeting, November 18, 2020. [link]
Kanishka Ghosh* and Alexander W. Dowling. Reduced-Order Kinetic Models and Reactor Optimization for Modular Shale Gas Utilization. AIChE Annual Meeting, November 18, 2020. [link]
Xian Gao* and Alexander W. Dowling. Optimal Scheduling And Control Of Hybrid Energy Systems In Multiscale Electricity Markets. INFORMS Annual Meeting, Nov. 10, 2020.
Bridgette Befort*, Edward J. Maginn, and Alexander W. Dowling. Integration of Molecular Simulations and Computer-Aided Design to Enable Novel Azeotropic Separations. American Institute of Chemical Engineers Midwest Regional Conference, Chicago, IL. March 11, 2020. Oral Presentation.
Kanishka Ghosh* and Alexander W. Dowling. Reduced-order Kinetic Models and Reactor Optimization for Oligomerization in CISTAR. American Institute of Chemical Engineers Midwest Regional Conference, Chicago, IL. March 11, 2020. Oral Presentation.
Bridgette Befort*, Edward J. Maginn, and Alexander W. Dowling. Bridging the Gap: Multi-scale Research for Innovation. Indiana Science Communication Day 2020, Indianapolis, IN. March 2, 2020. Poster Presentation.
Xian Gao*, and Alexander W. Dowling. Statistical Forecasting and Stochastic Programming for Energy Market Participation. Conference on Data Analytics (CoDA) 2020, Santa Fe, NM, February 25, 2020. Poster Presentation.
Elvis A. Eugene*, Xinhong Liu, William A. Philip, and Alexander W. Dowling. Model Based Optimization and Bayesian Learning from Dynamic Membrane Characterization Experiments. Conference on Data Analytics (CoDA) 2020, Santa Fe, NM, February 25, 2020. Poster Presentation.
Bridgette Befort*, Alexander W. Dowling, and Edward J. Maginn. Integration of Molecular Simulations and Computer-Aided Design to Enable Novel Azeotropic Separations. Chemical Separations Gordon Research Conference, Galveston, TX. January 26-31, 2020. Poster Presentation.
2019
Alexander W. Dowling*. Rethinking Computing and Statistics Instruction with Vocareum and Gradescope. Sakai Lunch & Learn, University of Notre Dame, November 22, 2019. [slides]
Alejandro Garciadiego*, Tengfei Luo, and Alexander W. Dowling. Mathematical Optimization of Membrane-Free Desalination Systems That Utilize Low-Grade Heat. AIChE Annual Meeting, Orlando, FL, November 14, 2019. Oral Presentation. [link]
Bridgette Befort*, Edward J. Maginn, and Alexander W. Dowling. Discovery of New Ionic Liquids Via Molecular Simulations for the Separation of Azeotropic Mixtures of High Global Warming Potential Hydrofluorocarbon Refrigerants. AIChE Annual Meeting, Orlando, FL, November 14, 2019. Oral Presentation. [link]
Xian Gao* and Alexander W. Dowling. Bayesian Statistical Learning and Stochastic Programming for Optimal Energy Market Participation. AIChE Annual Meeting, Orlando, FL, November 14, 2019. Oral Presentation. [link]
Elvis A. Eugene*, William A. Phillip and Alexander W. Dowling. Mathematical Optimization and Process Intensification of Diafiltration Membrane Systems. AIChE Annual Meeting, Orlando, FL, November 13, 2019. Oral Presentation. [link]
Bridgette Befort*, Edward J. Maginn, and Alexander W. Dowling. Integration of Molecular Simulations and Computer-Aided Molecular Design to Enable Novel Azeotropic Separations. AIChE Annual Meeting, Orlando, FL, November 12, 2019. Poster. [link]
Kanishka Ghosh* and Alexander W. Dowling. Microkinetic Model Reduction for Ethylene Oligomerization Reactor Optimization and Design. AIChE Annual Meeting, Orlando, FL, November 12, 2019. Poster. [link]
Alexander W. Dowling*. Training All Chemical Engineers in Computing and Data Science. AIChE Annual Meeting, Orlando, FL, November 12, 2019. Oral Presentation. [slides]
Clay T. Elmore and Alexander W. Dowling*. Learning Spatiotemporal Dynamics in Wholesale Energy Markets with Dynamic Mode Decomposition. Foundations of Process Analytics and Machine learning (FOPAM) 2019, The StateView Hotel—Marriott Autograph Collection in Raleigh, NC, Aug 8, 2019. Poster.
Xian Gao* and Alexander W. Dowling. Bayesian Statistical Learning and Stochastic Programming for Optimal Energy Market Participation. Foundations of Process Analytics and Machine learning (FOPAM) 2019, The StateView Hotel—Marriott Autograph Collection in Raleigh, NC, Aug 7, 2019. Poster.
Alexander Dowling. Toward Integrating Python Throughout the Chemical Engineering Curricula: Using Google Colaboratory in the Classroom.Future of Cyber Assisted Chemical Engineering Education, Beaver Run Resort, Breckenridge, CO. CACHE 50TH 2019. July 19 - 20, 2019. Poster and Oral Presentation. [link]
Alejandro Garciadiego*, Tengfei Luo, and Alexander W. Dowling. Mathematical Modeling and Optimization of Directional Solvent Extraction for Sustainable Water Desalination. FOCAPD, Copper Mountain Resort, CO, July 14, 2019. Poster.
Elvis A. Eugene*, William A. Phillip and Alexander W. Dowling. Material Property Goals to Enable Continous Diafiltration Membrane Cascades for Lithium-Ion Battery Recycling. 9th International Conference on Computer-Aided Process Design (FOCAPD) 2019, Copper Mountain Resort, CO, July 14, 2019. Poster.
Bridgette Befort*, Edward J. Maginn, and Alexander W. Dowling. Process and Molecular Design Integration for the Separation of Hydrofluorocarbon Mixtures. FOCAPD, Copper Mountain Resort, CO, July 14, 2019. Poster.
Kanishka Ghosh* and Alexander W. Dowling. Microkinetic Model Reduction in Reactor Optimization for Oligomerization Reaction using CISTAR Technology. FOCAPD, Copper Mountain Resort, CO, July 14, 2019. Poster.
Bridgette Befort*, Alexander W. Dowling, and Edward J. Maginn. Discovery of New Ionic Liquids via Molecular Simulations for the Separation of Azeotropic Mixtures of High Global Warming Potential Hydrofluorocarbon Refrigerants. Midwest Thermodynamics and Statistical Mechanics Conference, Urbana, IL, June 2019. Poster.
Elvis A. Eugene*, William A. Phillip and Alexander W. Dowling. Optimizing Materials Discovery and Novel Membrane Systems: Mathematical Frameworks. AIChE Midwest Regional Conference, University of Illinois in Chicago, Chicago, IL, March 18, 2019.
Xian Gao*, Steven Atkinson and Alexander W. Dowling. How to Make Money in Dynamic Energy Markets: Uncertainty Modeling and Optimization Frameworks. AIChE Midwest Regional Conference, University of Illinois in Chicago, Chicago, IL, March 18, 2019.
Alejandro Garciadiego*, Tengfei Luo, and Alexander W. Dowling. Mathematical Optimization of Membrane-free Desalination Systems that Utilize Low-grade Heat. AIChE Midwest Regional Conference, University of Illinois in Chicago, Chicago, IL, March 18, 2019.
2018
Yushan Zhang*, Yong Zhang, Alexander W. Dowling, Mark J. McCready and Edward J. Maginn. Systematic Refinement of Gaff Force Field for Nineteen Organic Battery Electrolytes. AIChE Annual Meeting, Pittsburgh, PA, October 31, 2018. [link]
Alejandro Garciadiego, Tengfei Luo, and Alexander W. Dowling*. Mathematical Optimization of Sustainable Water Desalination Processes Using Directional Solvent Extraction. AIChE Annual Meeting, Pittsburgh, PA, October 31, 2018. [link]
Xian Gao, Steven Atkinson, and Alexander W. Dowling*. Uncertainty Quantification and Stochastic Programming Strategies for Energy Market Participation. AIChE Annual Meeting, Pittsburgh, PA, October 30, 2018. [link]
Elvis A. Eugene, William A. Phillip, and Alexander W. Dowling*. Material Property Targets for Nanostructured Adsorptive Membranes in Residential Water Purification Applications. AIChE Annual Meeting, Pittsburgh, PA, October 29, 2018. [link]
Alexander W. Dowling*. Exploiting Opportunities in Energy and Ancillary Markets: A Chemical Engineer’s Perspective. Sandia National Laboratories, Albuquerque, NM, October 8, 2018.
Alexander W. Dowling* and Bethany L. Nicholson. Uncovering New Opportunities from Frequency Regulation Markets with Dynamic Optimization and Pyomo.DAE. 13th International Symposium on Process Systems Engineering, San Diego, CA, July 3, 2018. [conference paper]
Alexander W. Dowling*, Steven Atkinson, and Xian Gao. Optimal Energy Storage Scheduling in Electricity Markets with Multiscale Uncertainty. SIAM Conference on Uncertainty Quantification, Garden Grove, CA. April 16, 2018.
Alexander W. Dowling*. Data-Driven Multiscale Optimization of Energy Systems. Center for Informatics and Computational Sciences, University of Notre Dame, Notre Dame, IN, February 5, 2018. [video] [slides]
Invited Presentations
Artificial Intelligence, Machine Learning, and Data Science for Sustainable Molecular-to-Systems Engineering. Department Seminar, Kansas State University. Manhattan, KS, May 2025.
Optimizing Experiments: From Data-Driven to Model-Based Approaches. AIChE Spring Meeting, Invited Tutorial, Industry 4.0 Topical Conference. Dallas, TX, Apr. 2025.
Accelerating Research Convergence: Opportunities for Systems Engineering in ERC EARTH. Invited Dinner Presentation, EARTH ERC Meeting. University of Kansas, Lawrence, KS, Mar. 2025.
Optimizing Experiments with Pyomo.DoE. Spark Scientific AI Workshop. University of Notre Dame, Mar. 2025.
Artificial Intelligence, Machine Learning, and Data Science for Sustainable Molecular-to-Systems Engineering. Department Seminar, Rowan University, Feb. 2025.
Artificial Intelligence, Machine Learning, and Data Science in Chemical Engineering. PAIC Town Hall, AIChE Annual Meeting. San Diego, CA, Oct. 2024.
Artificial Intelligence, Machine Learning, and Data Science for Sustainable Molecular-to-Systems Engineering. University of São Paulo, Brazil, Oct. 2024.
Optimization in Python. Four-Day Short Course, University of São Paulo, Brazil, Oct. 2024.
Artificial Intelligence, Machine Learning, and Data Science for Sustainable Molecular-to-Systems Engineering. NDnano Lunch Seminar Series, University of Notre Dame, Sept. 2024.
Artificial Intelligence, Machine Learning, and Data Science for Sustainable Molecular-to-Systems Engineering. AIChE Environmental Division Webinar (Invited), Aug. 2024.
Towards Molecular-to-Systems Optimization of Membrane Separations. American Chemical Society Meeting (Invited Presentation). Denver, CO, Aug. 2024.
Artificial Intelligence, Machine Learning, and Data Science for Sustainable Molecular-to-Systems Engineering. FOCAPD Keynote, Breckenridge, CO, July 2024.
Optimizing Experiments with Pyomo.DoE. ESCAPE Workshop, Florence, Italy, June 2024. link
Pyomo.DoE: An Open-Source Python Package for Model-based Design of Experiments. BASF Data Science Seminar, Feb. 2024.
Measure This, Not That: Pareto Optimal Trade-Offs between Model-Based Information Content and Measurements Cost. CAST Plenary, AIChE Annual Meeting. Orlando, FL, Nov. 2023.
Pyomo.DoE: An Open-Source Python Package for Model-based Design of Experiments. Dow Chemical Company Data Science Seminar, Sept. 2023.
Beyond Price Taker: Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity. IChemE Virtual Seminar Series, July 2023.
Pyomo.DoE: Enabling model-based design of experiments in the Pyomo ecosystem. Imperial College London, June 2023.
Adaptively Optimizing Experiments: Past, Present, and Future. SIAM Conference on Optimization, Seattle, WA, May 2023.
Beyond Price Taker: Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity using Machine Learning Surrogate Models. McMaster University, May 2023.
Optimizing Manufacturing of Thermoelectrical Material using Machine Learning and Data Science. ND Energy Lunch Seminar Series, Dec. 2022.
Bayesian Optimization for Additive Manufacturing of Thermoelectric Materials and Devices. AIChE Annual Meeting, Phoenix, AZ, Nov. 2022.
Faster Science-Based Data Analytics with Pyomo.DoE. AIChE Futures Session, Phoenix, AZ, Nov. 2022.
Multiscale Design, Operations and Control Optimization of Integrated Energy Systems Considering Energy Market Interactions. Illinois Institute of Technology, Nov. 9, 2022.
Integrating Data, Molecular Simulations, and Process Design for Sustainable Engineering. Equifase 2022, Campinas, Brazil, Oct. 2022.
Multiscale Design, Operations and Control Optimization of Integrated Energy Systems Considering Energy Market Interactions. Instituto Tecnológico de Celaya (Virtual), Oct. 21, 2022. video
Science-Based Data Analytics for Molecular-to-Systems Engineering. University of Wisconsin–Madison, Oct. 3, 2022.
Science-Based Data Analytics for Molecular-to-Systems Engineering. Eli Lilly, Sept. 14, 2022.
Decision-making Under Epistemic Uncertainty Using Bayesian Hybrid Models. ICCOPT, July 26, 2022.
Science-Based Data Analytics for Molecular-to-Systems Engineering. Honeywell UOP Invitational Lecture, June 28, 2022.
Science-Based Data Analytics for Molecular-to-Systems Engineering. American Control Conference, June 9, 2022.
The Design and Optimization of Integrated Energy Systems. ND Energy Symposium, April 2022. video
Multiscale Design, Control, and Optimization of Energy Systems Considering Market Interactions. Carnegie Mellon University, April 5, 2022.
Building Science-based Mathematical Models from Data. Auburn University, Jan. 19, 2022.
Integrating Data, Molecular Simulations, and Process Design for Sustainable Engineering. UW–Madison, Dec. 3, 2021.
From Data to Process Design: Modeling Azeotropic Separation of High Global Warming Potential Hydrofluorocarbon Refrigerants Using Ionic Liquids. CAST Plenary, AIChE Annual Meeting, Boston, MA, Nov. 2021.
Molecular-to-Systems Engineering for Diafiltration Membranes. Technological Institute of Celaya (Virtual), June 2021.
Molecular-to-Systems Engineering for Diafiltration Membranes. Wayne State University (Virtual), March 2021.
Multiscale Simulation of Electricity Market and Energy Resource Interactions. Cornell University (Virtual), Dec. 2020. video
Making Money in Energy Markets: Probabilistic Forecasting and Stochastic Programming Paradigms. Rapid-Interactive Keynote, ACC 2020, Denver, CO. video
Book Chapters
[B2] Alexander W. Dowling, John P. Eason, Jinliang Ma, David C. Miller, and Lorenz T. Biegler. Equation-based Design, Integration and Optimization of Oxycombustion Power Systems (chapter). In: Alternative Energy Sources and Technologies: Process Design and Operation, ed. by Mariano M. Martin. Springer, p. 119 – 158. ISBN: 978-3-319-28750-8. [link] [preprint]
[B1] Yajun Wang, Alexander W. Dowling, Carlos Krieft, Andrea Walther, and Lorenz T. Biegler (2015). Pressure Swing Adsorption Optimization Strategies for CO2Capture (Chapter 8). In: Sustainability of Products, Processes and Supply Chains: Theory and Applications, ed. by Fengqi You. Elsevier, p. 197 – 223. ISBN: 9780444634726. [link] [preprint]
Conference Papers
[C28] Andrew Lee, Robert B. Parker, Sarah Poon, Dan Gunter, Alexander W. Dowling, Bethany Nicholson. Model Diagnostics for Equation-Oriented Models: Roadblocks and the Path Forward. (2024). Systems & Control Transactions, 3, p. 966-974. [link]
[C27] Alexander W. Dowling. Artificial Intelligence and Machine Learning for Sustainable Molecular-to-Systems Engineering. (2024). Systems & Control Transactions, 3, p. 22-31. [link]
[C26] Hailey G. Lynch, Aaron Bjarnason, Daniel J. Laky, Cameron J. Brown, Alexander W. Dowling. Optimizing Batch Crystallization with Model-based Design of Experiments. (2024). Systems & Control Transactions, 3, p. 308-315. [link]
[C25] Damian T. Agi, Hani A.E. Hawa, and Alexander W. Dowling. Equation-Oriented Modeling of Water-Gas Shift Membrane Reactor for Blue Hydrogen Production. (2024). Systems & Control Transactions, 3, p. 395-402. [link]
[C24] Daniel J. Laky, Radhakrishna Tumbalam-Gooty, Tyler Jaffe, Marcus Holly, Adam Atia, Xinhe Chen, and Alexander W. Dowling. IDAES-PSE Software Tools for Optimizing Energy Systems and Market Interactions. (2024). Systems & Control Transactions, 3, p. 490-495. [link]
[C23] Xinhe Chen, Radhakrishna Tumbalam-Gooty, Darice Guittet, Bernard Knueven, John D. Siirola, and Alexander W. Dowling. Conceptual Design of Integrated Energy Systems with Market Interaction Surrogate Models. (2024). Systems & Control Transactions, 3, p. 434-441. [link]
[C22] Molly Dougher, Laurianne Lair, Jonathan Aubuchon Ouimet, William A. Phillip, Thomas J. Tarka, Alexander W. Dowling. Opportunities for Process Intensification with Membranes to Promote Circular Economy Development for Critical Minerals. (2024). Systems & Control Transactions, 3, p. 711-718. [link]
[C21] Madelynn J. Watson, Pedro Machado, Aline da Silva, Celma Ribeiro, Claudio Nascimento, Alexander W. Dowling. Sustainable Aviation Fuels (SAF) from Ethanol: An Integrated Systems Modeling Approach. (2024). Systems & Control Transactions, 3, p. 927-932. [link]
[C20] Ke Wang, Mortaza Saeidi-Javash, Minxiang Zeng, Zeyu Liu, Yanliang Zhang, Tengfei Luo, Alexander W. Dowling. Gaussian Process Regression Machine Learning Models for Photonic Sintering (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 1819-1824 [file] [link]
[C19] Jialu Wang, Elvis A. Eugene, and Alexander W. Dowling. Scalable Stochastic Programming with Bayesian Hybrid Models (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 1309-1314 [file] [link]
[C18] Bridgette J. Befort, Ryan S. DeFever, Edward J. Maginn, Alexander W. Dowling. Machine Learning-Enabled Optimization of Force Fields for Hydrofluorocarbons (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 1249-1254 [file] [link]
[C17] Xinhong Liu, Riju De, Alexander Pérez, John R. Hoffman, William A. Phillip, Alexander W. Dowling. Mathematical Modelling of Reactive Inks for Additive Manufacturing of Charged Membranes (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 1063-1068 [file] [link]
[C16] Xinhong Liu, Jialu Wang, Jonathan A. Ouimet, William A. Phillip, Alexander W. Dowling. Membrane Characterization with Model-Based Design of Experiments (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 859-864 [file] [link]
[C15] Nicole Cortes, Xian Gao, Bernard Knueven, and Alexander W. Dowling. Estimating Energy Market Schedules using Historical Price Data (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 517-522 [file] [link]
[C14] Alejandro Garciadiego, Mozammel Mazumder, Bridgette J. Befort and Alexander W. Dowling. Modeling and Optimization of Ionic Liquid Enabled Extractive Distillation of Ternary Azeotrope Mixtures (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 307-312 [file] [link]
[C13] Elvis A. Eugene, Xian Gao, Alexander W. Dowling. Learning and Optimization with Bayesian Hybrid Models (2020). 2020 American Control Conference (ACC), Denver, CO, USA, 2020, p. 3997-4002. [link] [file]
[C12] Xian Gao and Alexander W. Dowling. Making Money in Energy Markets: Probabilistic Forecasting and Stochastic Programming Paradigms. 2020 American Control Conference (ACC), Denver, CO, USA, 2020, p. 168-173. [link] [video] [file]
[C11] Elvis A. Eugene, William A. Phillip, Alexander W. Dowling. Material Property Goals to Enable Continous Diafiltration Membrane Cascades for Lithium-Ion Battery Recycling. Proceedings of the 9th International Conference on Computer-Aided Process Design (FOCAPD) 2019, p. 469 - 474. [link] [file]
[C10] Alexander W. Dowling and Bethany L. Nicholson (2018). Uncovering New Opportunities from Frequency Regulation Markets with Dynamic Optimization and Pyomo.DAE. 13th International Symposium on Process Systems Engineering (PSE 2018). Ed. by Mario R. Eden, Marianthi G. Ierapetritou, Gavin P. Towler. Computer-Aided Chemical Engineering, 44, p. 2509 – 2514. [link] [file]
[C9] Alexander W. Dowling, Victor M. Zavala (2017). Redesigning Decision-Making Architectures to Exploit Multi-Scale Electricity Markets. FOCAPO/CPC 2017. [file]
[C8] Alexander W. Dowling, Victor M. Zavala (2017). Resolving Conflicts Among Stakeholders in Real-Time Operations. FOCAPO/CPC 2017. [file]
[C7] Alexander W. Dowling, Ana Dyreson, Franklin Miller, Victor M. Zavala (2017). Economic Assessment and Optimal Operation of CSP Systems with TES in California Electricity Markets. SolarPACES 2016, AIP Conference Proceedings 1850, p. 160006. [link]
[C6] Alexander W. Dowling and Lorenz T. Biegler (2015). Degeneracy Hunter: An Algorithm for Determining Irreducible Sets of Degenerate Constraints in Mathematical Programs. 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. Ed. by Krist V. Gernaey, Jakob K. Huusom, and Raqul Gani. Computer-Aided Chemical Engineering, Vol. 37, p. 809 – 814. [link] [file]
[C5] Alexander W. Dowling, Cheshta Balwani, Qianwen Gao, and Lorenz T. Biegler (2014). Equation-oriented Optimization of Cryogenic Systems for Coal Oxycombustion Power Generation. 12th International Conference on Greenhouse Gas Control Technologies (GHGT-12). Energy Procedia, 63, p. 421 – 430. [link]
[C4] Alexander W. Dowling, John P. Eason, Jinliang Ma, David C. Miller, and Lorenz. T. Biegler (2014). Coal Oxycombustion Power Plant Optimization Using First Principles and Surrogate Boiler Models. 12th International Conference on Greenhouse Gas Control Technologies (GHGT-12). Energy Procedia, 63, p. 352-361. [link]
[C3] Alexander W. Dowling, Qianwen Gao, and Lorenz T. Biegler (2014). Equation-Oriented Optimization of Cryogenic Systems for Coal Oxycombustion Power Plants. Proceedings of the 8th International Conference on Foundations of Computer-Aided Process Design. Ed. by Mario Eden, John D. Siirola, and Gavin P. Towler. Computer-Aided Chemical Engineering, Vol. 34, p. 501 – 506. [link]
[C2] Alexander W. Dowling and Lorenz T. Biegler (2014). Rigorous Optimization-based Synthesis of Distillation Cascades without Integer Variables. 24th European Symposium on Computer Aided Process Engineering. Ed. by Jir J. Klemes, Petar S. Varbanov, and Peng Yen Liew. Computer-Aided Chemical Engineering, Vol. 33, p. 55 – 60. [link] [pdf]
[C1] Alexander W. Dowling and Lorenz T. Biegler (2013). Optimization-based Process Synthesis for Sustainable Power Generation. Chemical Engineering Transactions, Vol. 35., p. 1 – 12. [link]