Carnegie Mellon University
Department of Chemical Engineering  ›  Torres' Research Group Website  ›  Publications

Publications:

Authors, Title, Journal, Year, Link

  1. Charalambous, M. A., Vázquez, D., Torres, A. I., Guillén-Gosálbez, G. The underrepresented role of prospective global supply chains in the life cycle optimization of energy systems. Renewable and Sustainable Energy Reviews, 2026. https://doi.org/10.1016/j.rser.2026.116829
  2. Chattopadhyay, S., Gandhi, R., Grossmann, I. E., Torres, A. I. A novel algorithm for bounding the optimal solutions in multi-time scale decarbonization planning problems involving varying energy prices: electrification of oil refineries as a case study. SSRN Electronic Journal, 2025. https://doi.org/10.2139/ssrn.6582478
  3. Pert, D., Torres, A.I. Multi-period Optimization of Multi-agent Circular Economy Networks: Application to Single-use PET Plastics & Polyester Textiles. Proceedings REMADE® Circular Economy Tech Summit & Conference 2026. https://doi.org/10.65569/VCYA7337
  4. Laliwala, C., Amusat, O. O., Ojo, A., Garciadiego, A., Tarka, T., Bhattacharyya, D., Torres, A. I. Design and optimization of processes for recovering rare earth elements from end-of-life permanent magnets. AIChE Journal, 2026. https://doi.org/10.1002/aic.70208
  5. Torres A.I., Grossmann, I. Teaching of Process Design Courses The CMU experience, trends and challenges. Proceedings ESCAPE 2025. https://doi.org/10.69997/sct.101971
  6. Laliwala, C., Oluwamayowa, A., & Torres, A. I. An Optimization-Based Law of Mass Action Precipitation/Dissolution Model. Proceedings ESCAPE 2025. https://doi.org/10.69997/sct.132742
  7. Karthikeyan, K., Chattopadhyay, S., Gandhi, R., Grossmann, I., & Torres, A. I. Pareto optimal solutions for decarbonization of oil refineries under different electricity grid decarbonization scenarios. Proceedings ESCAPE 2025. https://doi.org/10.69997/sct.102781
  8. Piedra-Jimenez, F., Mehta, R., Larnaudie, V., Rodriguez, M. A., & Torres, A. I. A Forest Biomass-to-Hydrogen Supply Chain Mathematical Model for Optimizing Carbon Emissions and Economic Metrics. Proceedings ESCAPE 2025. https://doi.org/10.69997/sct.110922
  9. Piedra-Jimenez, F., Torres, A. I., & Rodriguez, M. A. A Comparison of Robust Modeling Approaches to Cope with Uncertainty in Independent Terms, considering the Forest Supply Chain Case Study. Proceedings ESCAPE 2025. https://doi.org/10.69997/sct.158419
  10. Pert, D., Torres, A. I. A System-Dynamics Based Approach for Modeling Circular Economy Networks: Application to the Polyethylene Terephthalate (PET) supply chain. Proceedings ESCAPE 2025. https://doi.org/10.69997/sct.107833
  11. Pert, D., Torres, A. I. A Framework for Dynamic Modeling of Circular Economy Networks: The Polyethylene Terephthalate (PET) Packaging Supply Chain as a Case Study. Industrial & Engineering Chemistry Research, 2025. https://doi.org/10.1021/acs.iecr.5c00273
  12. Ahmed, A., Nair, A., Torres, A. I. Design and optimization of circular economy networks—A case study of PET. Computers & Chemical Engineering, 2025. https://doi.org/10.1016/j.compchemeng.2025.109164
  13. Chattopadhyay, S., Karthikeyan, K., Gandhi, R., Grossmann, I. E., Torres, A. I. Optimal Retrofit of Carbon Capture and Electrification Technologies in Oil Refineries for Reducing Direct CO2 Emissions. Industrial & Engineering Chemistry Research, 2025. https://doi.org/10.1021/acs.iecr.4c04995
  14. González, V., Pedezert, A., Pittaluga, L., Gutierrez, S., Kreimerman, R., Torres, A. I. Repurposing a conventional oil refinery for biomass processing to aviation fuel: Process design and techno-environmental evaluation for a real operating plant. ChemRxiv, 2025. https://doi.org/10.26434/chemrxiv-2025-1f1qk
  15. Torres, A. I. Guaranteeing rare earth minerals for a high tech future: an opportunity for cleaner technologies. Clean Technologies and Environmental Policy, 2025. https://doi.org/10.1007/s10098-025-03158-0
  16. Torres, A. I., Ferreira, J., Pedemonte, M. Machine Learning and Process Systems Engineering for Sustainable Chemical Processes- A Short Review. Current Opinion in Green and Sustainable Chemistry, 2024. https://doi.org/10.1016/j.cogsc.2024.100982
  17. Laliwala, C., Torres, A. I. Design and Optimization of Processes for Recovering Rare Earth Elements from End-of-Life Hard Disk Drives. Proceedings FOCAPD 2024. https://doi.org/10.69997/sct.123161
  18. Chattopadhyay S., Gandhi, R., Grossmann, I.E., Torres, A. I. Optimization of Retrofit
    Decarbonization in Oil Refineries. Proceedings FOCAPD 2024. https://doi.org/10.69997/sct.114841.
  19. Ahmed, A., Torres, A. I., Design and Optimization of Circular Economy Networks: A
    Case Study of Polyethylene Terephthalate (PET). Proceedings FOCAPD 2024.  https://doi.org/10.69997/sct.154237
  20. Ahmed, A., Torres, A. I. Material Flow Efficiency Assessment of Optimized Circular Polyethylene Terephthalate Networks. Proceedings of the 2024 REMADE Conference. [Link]
  21. Laliwala C, A., Torres, A. I., Recycling Rare Earth Elements from End-of-Life Electric
    and Hybrid Electric Vehicle Motors. Proceedings of the 2024 ESCAPE/PSE Conference. [Link]
  22. Palav, S. D., Torres, A. I., Biegler, L. T. Systematic conceptual design strategies for the recovery of metals from E-waste. Frontiers in Chemical Engineering. 2024. https://doi.org/10.3389/fceng.2024.1388456
  23. Zhang, L., Torres, A. I., Chen, B., Yuan, Z., Grossmann, I.E. Optimal Retrofitting of Conventional Oil Refinery into Sustainable Bio-refinery under Uncertainty. AIChE Journal. 2024. https://doi.org/10.1002/aic.18371
  24. Torres, A. I. Circular Economy: Not just another name for waste treatment. Clean Technologies and Environmental Policy. 2024. https://doi.org/10.1007/s10098-024-02798-y
  25. Piedra-Jimenez, F., Torres, A. I., Rodriguez, M.A., A robust disjunctive formulation for the forest biomass-based fuels supply chain under multiple factors of uncertainty, Computers & Chemical Engineering. 2024. https://doi.org/10.1016/j.compchemeng.2023.108540
  26. Laliwala, C., Torres, A. I. Recycling Rare Earth Elements from End-of-Life Electric and Hybrid Electric Vehicle Motors. Computer Aided Chemical Engineering. 2024. https://www.sciencedirect.com/science/article/abs/pii/B9780443288241502192
  27. Cárdenas, A., Díaz-Alvarado,F., Torres, A. I., Green hydrogen production: Process design and capacity expansion integrating economic and operational autonomy objectives. Industrial & Engineering Chemistry Research. 2023.  https://doi.org/10.1021/acs.iecr.3c03060
  28. Ferreira, J., Torres, A. I., Pedemonte, M., A Kaizen Programming algorithm for multi-output regression  based on a heterogeneous island model. Neural Computing and Applications, 35, 2023. https://link.springer.com/article/10.1007/s00521-023-08335-0
  29.  Zhang, L., Torres, A. I., Chen, B., Yuan, Z., Grossmann, I.E., Optimal Retrofitting of Conventional Oil Refinery into Sustainable Bio-refinery under Uncertainty - Computer Aided  Chemical Engineering, 52, 2023. https://www.sciencedirect.com/science/article/abs/pii/B9780443152740500408
  30. Ferreira, J., Pedemonte, M., Torres, A. I., Learning interpretable multi-output models:  Kaizen Programming based symbolic regression for estimating outlet concentrations of a splitter, - Computer Aided  Chemical Engineering, 52, 2023. https://www.sciencedirect.com/science/article/abs/pii/B9780443152740501773
  31. Avraamidou, S. Torres, A. I., “ Circular Economy: Definitions, Challenges, and Opportunities”, Proceedings FOCAPO-CPC 2023.
  32. M Corengia, AI Torres, Coupling time varying power sources to production of green-hydrogen: a superstructure based approach for technology selection and optimal design - Chemical Engineering Research and Design, May 2022.  https://doi.org/10.1016/j.cherd.2022.05.007
  33. J Ferreira, M Pedemonte, AI Torres, Development of a machine learning-based soft sensor for an oil refinery’s distillation column - Computers & Chemical Engineering, April 2022.  https://doi.org/10.1016/j.compchemeng.2022.107756
  34. Arsuaga, J. Torres, A. I., “A data driven model for prediction of adsorption energies on metallic surfaces”. Comput. Aided Chem. Eng. 51, Eds. Montastruc, L., Negny, S., 2022. https://www.sciencedirect.com/science/article/abs/pii/B9780323958790502538
  35. Ferreira, J., Pedemonte, M., Torres, A. I., A multi-output machine learning approach for surrogate modeling generation in process engineering- Computer Aided  Chemical Engineering, 49, 2022. https://www.sciencedirect.com/science/article/abs/pii/B9780323851596502955
  36. M Corengia, AI Torres, Optimization problems for designing and operating energy storage systems (ESS) - Energy storage - Sustainable Design for Renewable Processes, January 2022. https://doi.org/10.1016/B978-0-12-824324-4.00028-7 
  37. J Ferreira, AI Torres, M Pedemonte, Towards a Multi-Output Kaizen Programming Algorithm - 2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI). https://doi.org/10.1109/LA-CCI48322.2021.9769841
  38. T Chaturvedi, AI Torres, G Stephanopoulos, MH Thomsen, JE Schmidt, Developing process designs for biorefineries—definitions, categories, and unit operations - Energies 13 (6), 1493, March 2020. https://doi.org/10.3390/en13061493
  39. Corengia, M.,Torres, A. I., Operación óptima de baterías bajo el actual régimen tarifario en Uruguay. ENERLAC,  5(1), 56, 2020. https://enerlac.olade.org/index.php/ENERLAC/article/view/121
  40. HA Ruiz, M Conrad, SN Sun, A Sanchez, GJM Rocha, A Romaní, AI Torres, Engineering aspects of hydrothermal pretreatment: From batch to continuous operation, scale-up and pilot reactor under biorefinery concept - Bioresource technology 299, 122685, March 2020. https://doi.org/10.1016/j.biortech.2019.122685
  41. M Corengia, N Estefan, AI Torres, Analyzing Hydrogen Production Capacities to Seize Renewable Energy Surplus - Computer Aided  Chemical Engineering, January 2020. https://doi.org/10.1016/B978-0-12-823377-1.50259-7
  42. Mangone, F., Ferreira, J., Torres, A. I., “BISSO: Biomass Interface for Superstructure Simulation and Optimization”, Processes, 7(10), 645, 2019. https://doi.org/10.3390/pr7100645
  43.  Ferreira, J.,Torres, A. I., Pedemonte, M., “A comparative study on the numerical performance of Kaizen programming and genetic programming for symbolic regression problems”, 6th IEEE Latin American Conference on Computational Intelligence LACCI 2019, Guayaquil, Ecuador, 2019. 10.1109/LA-CCI47412.2019.9036755
  44. Ferreira, J., Pedemonte, M., Torres, A. I., “A genetic programming approach for construction of surrogate models”, Comput. Aided Chem. Eng. 47, Eds. Muñoz, S. G., Laird, C. D. & Realff, M. J., 451-456, Elsevier, 2019. https://doi.org/10.1016/B978-0-12-818597-1.50072-2
  45. A Helal, R Kreimerman, S Gutiérrez, AI Torres. "A market‐driven algorithm for the assessment of promising bio‐based chemicals" - AIChE Journal 65 (12), e16775, December 2019. https://doi.org/10.1002/aic.16775
  46. Estefan, N., Torres, A. I., Bussi,J., “Síntesis, caracterización de catalizadores y evaluación tecno-económica del procesos de síntesis de Fischer- Tropsch a partir de Biosingas”, X Congreso Argentino de Ingeniería Química-CAIQ2019, Santa Fe, Argentina, 2019.
  47. Corengia, M.,Torres, A. I., “Effect of Tariff Policy and Battery Degradation on Optimal Energy Storage”.Processes, 6(10), 204, 2018. *Feature paper*. https://doi.org/10.3390/pr6100204
  48. Vyhmeister, E., Ruiz-Mercado, G, Torres, A. I., Posada, J., “Optimization of multipathway production chains and multi-criteria decision-making through sustainability evaluation: a biojet fuel production case study”. Clean Technol. Envir., 20(7), 1697- 1719, 2018. 10.1007/s10098-018-1576-5
  49. Corengia, M., Torres, A. I., “Two-phase Dynamic Model for PEM Electrolyzer”, Comput. Aided Chem. Eng. 44, Eds. Eden, M. R., Ierapetritou, M. G. & Towler, G. P., 1435-1440, Elsevier, 2018. https://doi.org/10.1016/B978-0-444-64241-7.50234-2
  50. Torres, A. I., Helal, A., Ures, P., Estefan, N., Kreimerman, R., Gutierrez, S., “Selección de productos y tecnologías para valorización de residuos de biomasa: PLA como caso de estudio” 1er Congreso Nacional de Gestion Sostenible de Residuos, Montevideo, Uruguay, 2017
  51. Gutierrez, S., Philippi, C., Kreimerman, R., Ures, P.,  Torres, A. I., “Relevamiento de la biomasa disponible en Uruguay utilizable como materia prima en la producción de químicos”, Actas del VI Encuentro Regional de Ingeniería Química, Montevideo, Uruguay, 2017.
  52. Torres, A. I., Philippi, C., Ures, P., Kreimerman, R., Gutierrez, S., “Creación de herramienta computacional para la simulación de procesos de conversión de biomasa”, Actas del VI Encuentro Regional de Ingeniería Química, Montevideo, Uruguay, 2017.
  53. Torres, A. I., Stephanopoulos, G., “Design of multi-actor distributed processing systems: a game-theoretical approach”. AIChE J.- Special Edition “Founders Tribute to Roger Sargent”, 63, 3369-3391, 2016.  https://doi.org/10.1002/aic.15395
  54. Dieste, A., Clavijo, L., Torres, A. I., Barbe, S., Oyarbide, I., Bruno, L., Cassella, F., “Lignin from Eucalyptus spp. Kraft Black Liquor as Biofuel”, Energy & Fuels, 30(12), 10494-10498, 2016. https://doi.org/10.1021/acs.energyfuels.6b02086
  55. Torres, A. I., Bochenski, T., Schmidt, J. E., Stephanopoulos, G., “Economically optimal multi-actor processing networks: material flows and price assignment of the intermediates using Lagrangian decomposition”, Comput. Aided Chem. Eng. 38, Eds. Kravanja, Z. & Bogataj, M., Elsevier, 2016. https://doi.org/10.1016/B978-0-444-63428-3.50235-6
  56. Ashraf, M. T., Torres, A. I., Cybulska, I., Fang, C. J., Thomsen, M. H., Schmidt, J. E., Stephanopoulos, G., “Optimization of Lignocellulosic Waste Biorefinery using MultiActor Multi-Objective Mathematical Framework”, Comput. Aided Chem. Eng. 38, Eds. Kravanja, Z. & Bogataj, M., Elsevier, 2016. https://doi.org/10.1016/B978-0-444-63428-3.50224-1
  57. Bochenski,T(*), Torres, A. I. (*), Ashraf, M. T., Schmidt,J. E., Stephanopoulos, G., “Evaluation of the production of lipids for fuels and proteins from microalgae by decomposition of the processing network”, Comput. Aided Chem. Eng. 38, Eds. Kravanja, Z. & Bogataj, M., 1635-1640, Elsevier, 2016. (*) Equal contribution. https://doi.org/10.1016/B978-0-444-63428-3.50277-0
  58. Al Wahedi, Y., Torres, A. I., Al Hashimi, S., Dowling, N., Daoutidis, P., Tsapatsis, M. “Economic assessment of temperature swing adsorption systems as Claus tail gas clean up units”, Chem. Eng. Sci., 126, 186-195, 2015. https://doi.org/10.1016/j.ces.2014.12.015
  59. Torres, A. I., Cybulska, I., Fang, C.J., Thomsen, M. H., Schmidt, J. E., Stephanopoulos, G. “A novel approach for the identification of economic opportunities within the framework of a biorefinery”, Comput. Aided Chem. Eng. 37, Eds. Gernaey, K. V., Huusom, J. K. & Gani, R., 1175-1180, Elsevier, 2015. https://doi.org/10.1016/B978-0-444-63577-8.50041-3
  60. Bonk, F., Chaturvedi, T., Torres, A. I., Schmidt, J. E., Thomsen, M. H., Stephanopoulos, G., “Exploring opportunities for the production of chemicals from municipal solid wastes within the framework of a biorefinery”, Comput. Aided Chem. Eng. 37, Eds. Gernaey, K. V., Huusom, J. K. & Gani, R., 2123-2128, Elsevier, 2015. https://doi.org/10.1016/B978-0-444-63576-1.50048-0
  61. Rajabbeigi, N.*, Torres, A. I.*, Lew, C. M., Elyassi, B., Ren, L., Wang, Z., Cho, H. J., Fan, W., Daoutidis, P., Tsapatsis, M. “On the kinetics of the isomerization of glucose to fructose using Sn-Beta ”, Chem. Eng. Sci., 116, 235-242, 2014. https://doi.org/10.1016/j.ces.2014.04.031
  62. Daoutidis, P., Kelloway, A., Marvin, W. A., Rangarajan, S., Torres, A. I., “ Process systems engineering for biorefineries: new research vistas ”, Curr. Op. Chem. Eng., 2(5), 442-447, 2013. https://doi.org/10.1016/j.coche.2013.09.006
  63. Daoutidis, P., Marvin, W. A., Rangarajan, S., Torres, A. I., “Engineering Biomass Conversion Processes: A Systems Perspective ”, AIChE J., 59(1), 3-18, 2013. (Cover article).  
    https://doi.org/10.1002/aic.13978
  64. Torres, A. I., Tsapatsis, M., Daoutidis, P., “Biomass to chemicals: Design of an extractive-reaction process for the production of 5-hydroxymethylfurfural”, Computers & chemical engineering, 42, 130-137, 2012. https://doi.org/10.1016/j.compchemeng.2011.12.013
  65. Jogwar, S. S., Torres, A. I., Daoutidis, P., “Networks with Large Solvent Recycle: Dynamics, Hierarchical Control and a Biorefinery Application”, AIChE J., 58(6), 1764-1777, 2012.  
    https://doi.org/10.1002/aic.12708
  66. Daoutidis, P., Marvin, W. A., Rangarajan, S., Torres, A. I., “Process Engineering of Biorefineries: Recent Results and New Research Vistas”, Proceedings FOCAPO 2012 / CPC VIII, Foundations of Computer-Aided Process Operations - Chemical Process Control Engineering Conferences, Savannah, GA, 2012.
  67. Torres, A. I., Tsapatsis, M., Daoutidis, P., “Biomass to chemicals: Design of an extractive-reaction process for the production of 5-hydroxymethylfurfural”, Comput. Chem. Eng. 42, Eds. Pistikopoulos, E., Georgiadis, M. & Kokossis, A., 236-240, Elsevier, 2011.
  68. Torres, A. I., Daoutidis, P., Tsapatsis, M., “Continuous Production of 5-Hydroxymethylfurfural from Fructose: a Design Case Study”, Energy Environ. Sci., 3(10), 1560-1572, 2010. 
    https://doi.org/10.1039/C0EE00082E
  69. Margenat, L., Torres, A., Moyna, P., Heinzen, H., Gonzalez, G., Jachmanian, I., “Lanoline Purification by Selective Extraction of Pesticides Using Supercritical CO2”, J. Supercrit. Fluid, 45(2), 177-180, 2008. https://doi.org/10.1016/j.supflu.2007.09.034
  70. Jachmanian, I., Margenat, L.,Torres, A., Grompone, M., “Selectivity of Supercritical CO2 in the Fractionation of Hake Liver Oil Ethyl Esters”, J. Am. Oil Chem. Soc., 84(6), 597-601, 2007. 
    https://doi.org/10.1007/s11746-007-1071-3
  71. Jachmanian, I., Margenat, L.,Torres, A., Grompone, M., “Estabilidad Oxidativa y Contenido de Tocoferoles en el Aceite de Canola Extraído con CO2 Supercrítico”, Grasas y Aceites (Spain), 57(2), 155-159, 2006.