Publications and Presentations

  • Google Scholar Profile
  • 38 peer-reviewed Journal Publications (14 first author, 22 corresponding author) & 1 Patent
    • 28 peer-reviewed conference publications (6 first author & 21 corresponding author)

Peer-reviewed JOURNAL Publications:

2025

  1. Pimentel, J.*; Orosz, Á.; Castellar-Freile, A.; Yenkie, K.M. Towards the Synthesis of Reliable and Resilient Complex Networks. Current Opinion in Chemical Engineering 2025, 49, 101172. https://doi.org/10.1016/j.coche.2025.101172.
  2. Chea, J. D.†; Conway, M.†; Ruiz-Mercado, G. J.; Yenkie, K. M.* An End-of-Life Plastic and Additive Flow Tracker Tool for Scenario Forecasting. Industrial & Engineering Chemistry Research. 2025. doi.org/10.1021/acs.iecr.5c00426.
  3. Aboagye, E.; Longo, J.; Conway, M.; Pazik, J.; Barkow, M.; McMahon, M.; Weil, B.; Appiah, H. D.; Hesketh, R.; Yenkie, K. M.* Leveraging Machine Learning Algorithms to Predict Life Cycle Inventory Assessments (LCIA) to Facilitate Sustainable Process Design. Computers & Chemical Engineering 2025, 201, 109217.
  4. Ghanem, F.; Yenkie, K. M.* Dynamic Control to Maximize the Performance of Protein A Resin in Antibody Extraction. Ind. Eng. Chem. Res. 2025, 64 (14), 7527–7539. https://doi.org/10.1021/acs.iecr.4c03098.

2024

  • Pimentel, J.; Orosz, Á.; Castellar-Freile, A.; Yenkie, K.M.* Systematic Method of Retrofitting Wastewater Transportation Systems for Enhanced Reliability. Chemical Engineering Transactions 2024, 114, 1075–1080.
  • Stengel, J.; Aboagye, E.; Le, P.; DeNafo, M.; Snyder, D.; Nelson, N.; Yenkie, K.M.* Systematic Development of a Machine Learning-Based Asset Management Tool for Wastewater Pipeline Networks. ACS ES&T Water 2024. https://doi.org/10.1021/acsestwater.4c00608.
  • Ghanem, F.; Yenkie, K.M.* 2024. Optimal Control of Chromate Removal via Enhanced Modeling using the Method of Moments. ASCE’s Journal of Environmental Engineering 150 (5), 04024015.

2023

  • Sahu, P.*; Gao, B.; Bhatti, S.; Capellades, G.; Yenkie, K.M. 2023. Process Design Framework for Inorganic Salt Recovery Using Antisolvent Crystallization (ASC). ACS Sustainable Chem. Eng. 12 (1), 154–165.
  • Jerpoth, S. S.; Hesketh, R.; Slater, C. S.; Savelski, M. J.; Yenkie, K. M.* 2023 Strategic Optimization of the Flushing Operations in Lubricants Manufacturing and Packaging Facilities. ACS Omega, 8(41), 38288-38300.
  • Stengel, J.P., Lehr, A.L., Aboagye, E.A., Chea, J.D., Yenkie, K.M.* 2023. Development of an Interactive Software Tool for Designing Solvent Recovery Processes. Ind. Eng. Chem. Res., 62(5), 2090-2103.

2022

  1. Pimentel, J.; Aboagye, E.; Orosz, A.; Markot, M. C.; Cabezas, H.; Friedler, F; Yenkie, K. M.* 2022. Enabling Technology Models with Nonlinearities in the Synthesis of Wastewater Treatment Networks based on the P-graph Framework. Computers & Chemical Engineering, 167, 108034.
  2. Lehr, A. L.; Heider, K. L.; Aboagye, E. A.; Chea, J. D.; Stengel, J. P.; Benavides, P. T.; Yenkie, K. M.* 2022. Design of Solvent-assisted Plastics Recycling: Integrated Economics and Environmental Impacts Analysis. Frontiers in Sustainability – Sustainable Chemical Process Design. Invited paper – https://doi.org/10.3389/frsus.2022.989720
  3. Chea, J. D.; Yenkie, K. M.; Stanzione III, J. F.; Ruiz-Mercado, G. J.* 2022. A Generic Scenario Analysis of End-of-Life Plastic Management: Chemical Additives. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2022.129902
  4. Chea, J. D.; Lehr, A. L.; Stanzione III, J. F.; Yenkie, K. M.* 2022. Evaluation of Isoflavone Extraction Options at Commercial Scale. Biofuels, Bioproducts and Biorefining, 16 (6), 1708–1725. https://doi.org/10.1002/bbb.2411
  5. Ghanem, F.; Jerpoth, S. S.; Yenkie, K. M.* 2022. Improved Models for Chromate Removal using Ion Exchangers in Drinking Water Applications. ASCE’s Journal of Environmental Engineering, 148(5), 04022015 

2021

  1. Aboagye, E. A.; Chea, J. D.; Yenkie, K. M.* 2021. Systems Level Roadmap for Solvent Recovery and Reuse in Industries. iScience, 24(10): 103114 (https://doi.org/10.1016/j.isci.2021.103114)
  2. Laurio, M. V.; Yenkie, K. M.; Eusebio, R.C.P.; Hesketh, R. P.; Savelski, M. J.; Slater, C. S.* 2021. Mathematical modeling of vibratory shear‐enhanced nanofiltration in the preconcentration of coffee extracts for soluble coffee manufacturing. Journal of Food Process Engineering, 44:10. (https://doi.org/10.1111/jfpe.13815)
  3. Aboagye, E. A.; Burnham, S. M.; Dailey, J.; Zia, R.; Tran, C.; Desai, M.; Yenkie, K. M.* 2021. Systematic Design, Optimization, and Sustainability Assessment for Generation of Efficient Wastewater Treatment Networks. MDPI Water, 13 (9): 1326 (1-22). (https://doi.org/10.3390/w13091326)
  4. Aboagye, E.A.; Pimentel, J.; Orosz, A.; Cabezas, H.; Friedler, F.; Yenkie, K.M.* 2021. Efficient Design and Sustainability Assessment of Wastewater Treatment Networks using the P-graph Approach: A Tannery Waste Case Study. PRES’21 Meeting and Publication in Chemical Engineering Transactions, 88, 493-498.
  5. Yenkie, K. M.*; Pimentel, J.; Orosz, A.; Cabezas, H.; Friedler, F. 2021. The P-graph Approach for Systematic Synthesis of Wastewater Treatment Networks. AIChE Journal; e17253 (https://doi.org/10.1002/aic.17253)
  6. Laurio, M. V.; Yenkie, K. M.; Slater, C. S.* 2021. Optimization of vibratory nanofiltration for sustainable coffee extract concentration via response surface methodology. Separation Science and Technology (DOI: 10.1080/01496395.2021.1879858)

2020

  • Yenkie, K. M.*. 2020. Enhanced undergraduate learning through integration of theory and computational tools. Chemical Engineering Education,54(3): 129-136.
  • Jerpoth, S.S.; Iannello, J.; Aboagye, E. A.; Yenkie, K. M.* 2020. Computer-aided synthesis of cost-effective perovskite crystals: an emerging alternative to silicon solar cells. Clean Technologies and Environmental Policy, 22, 1187-1198.
  • Diwekar, U. M.*; Nisal, A.; Yenkie, K. M.; Bhalerao, V. 2020. Customized Modeling and Optimal Control of Superovulation stage in in-vitro fertilization (IVF) treatment. Control Applications for Biomedical Engineering Systems. Elsevier. Chapter -13, pg. 383-403. (Book Chapter)
  • Chea, J.D.; Lehr, A.; Stengel, J.; Savelski, M.J.; Slater, C.S.; Yenkie, K.M.* 2020. Evaluation of Solvent Recovery Options for Economic Feasibility through a Superstructure-Based Optimization Framework. Industrial & Engineering Chemistry Research, 59(13): 5931-5944.

Patent

  • Chea, J. D.; Stanzione III, J. F.; Yenkie, K. M. System and Method for the Extraction of Isoflavones from Soybeans, U.S. Provisional Patent Application No. 63/114,579, filed Nov. 17, 2020

2019

  • Yenkie, K. M.*. 2019. Integrating the three E’s in Wastewater Treatment: Efficient Design, Economic Viability, and Environmental Sustainability. Current Opinion in Chemical Engineering, 26: 131-138.
  • Wu, W.†; Yenkie, K. M.†*; Maravelias, C. T. 2019. Synthesis and analysis of separation processes for extracellular chemicals generated from microbial conversions. BMC Chemical Engineering, 1(1): 1-14. †Equal Contributions.

2018

  • Yenkie, K. M.; Diwekar, U. M. 2018. The ‘No sampling’ parameter estimation algorithm for stochastic differential equations. Chemical Engineering Research & Design, 129: 376-383.

Publications prior to 2017 (before joining Rowan University)

  • Yenkie, K. M.; Wu, W.; Maravelias, C. T. 2017. Synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions. Biotechnology for Biofuels, 10:119.
  • Yenkie, K. M.; Wu, W.; Clark, R. L.; Pfleger, B. F.; Root, T. W.; Maravelias, C. T. 2016. Roadmap for selection of separation technologies in the recovery of bio-based chemicals: matching biological and process feasibility. Biotechnology Advances, 34(8): 1362-1383.
  • Yenkie, K. M.; Diwekar, U.; Linninger, A. A. 2016. Simulation-free estimation of reaction propensities in cellular reactions and gene signaling networks. Computers and Chemical Engineering, 87: 154-163.
  • Doshi, R.; Diwekar, U.; Benavides, P.; Yenkie, K. M.; Cabezas, H. 2014. Maximizing sustainability of ecosystem model through socio-economic policies derived from multivariable optimal control theory. Clean Technologies and Environmental Policy, 1-11.
  • Yenkie, K. M.; Diwekar, U. 2014. Uncertainty in clinical data and stochastic model for in-vitro fertilization. Journal of Theoretical Biology, 367: 76-85.
  • Yenkie, K. M.; Diwekar, U. 2014. Comparison of optimal control methods for customized drug dosage prediction in superovulation stage of in-vitro fertilization. Computers and Chemical Engineering, 71: 708-714.
  • Yenkie, K. M.; Diwekar, U.; Bhalerao, V. 2014. Modeling and prediction of outcome for the superovulation stage in in-vitro fertilization. JFIV Reprod.Med.Genet. 2(2):1000122(1-8).
  • Yenkie, K. M.; Diwekar, U. 2014. Optimal control for predicting customized drug dosage for superovulation stage of in-vitro fertilization. Journal of Theoretical Biology, 355: 219-228.
  • Yenkie, K. M.; Diwekar, U.; Bhalerao, V. 2013. Modeling the superovulation stage in in-vitro fertilization. IEEE Trans. Biomed. Eng., 60(11): 3003-3008.
  • Yenkie, K. M.;Diwekar, U. 2013. Stochastic optimal control of seeded batch crystallizer applying Ito process. Ind. Eng. Chem. Res., 52:108-122.

Peer-reviewed Conference Publications:

2025

  1. Castellar-Freile, A.; Pimentel, J.; Guerra, A.; Kodate, P.; Yenkie, K. M.* Integration of Graph Theory and Machine Learning for Enhanced Process Synthesis and Design of Wastewater Transportation Networks. Systems and Control Transactions 2025, 1625–1630.
  2. Padros, E.; McMahon, M.; Gao, B.; Weil, B.; Hesketh, R.; Slater, C. S.; Yenkie, K. M.* Pollution Prevention Through Popcorn: An Introduction to Life Cycle Analysis. In 2025 ASEE Annual Conference Proceedings; Montreal, Canada, 2025.

2024

  • Aboagye, E, A; Lehr, A.; Pazik, J; Longo, J; Conway, M.; Hesketh, R. P.; Yenkie, K. M.* Machine Learning Methods for the Forecasting of Environmental Impacts in Early-stage Process Design. Proceedings of 10th International Conference on Foundations of Computer-Aided Process Design (FOCAPD), Breckenridge, Colorado, 2024.
  • Chea, J.D.; Conway, M.; Ruiz-Mercado, G.; Benavides, P.T.; Yenkie, K. M.* Designing Better Plastic Management Processes Through a Systems Approach. Proceedings of 10th International Conference on Foundations of Computer-Aided Process Design (FOCAPD), Breckenridge, Colorado, 2024.
  • Ghanem, F.; Kodate, P.M.; Capellades, G.M.; Yenkie, K. M.* Optimal Design of Antibody Extraction Systems using Protein A Resin with Multicycling. Proceedings of 10th International Conference on Foundations of Computer-Aided Process Design (FOCAPD), Breckenridge, Colorado, 2024.
  • Gao, B.; Jerpoth, S.; Theuma, D.; Curtis, S.; Fracchiolla, M.; Roth, S.; Hesketh, R.P; Slater, C. S.; Yenkie, K. M.* Improved Design of Flushing Process for Multi-product Pipelines. Proceedings of 10th International Conference on Foundations of Computer-Aided Process Design (FOCAPD), Breckenridge, Colorado, 2024.
  • Yenkie, K. M.*, Aboagye, E, A; Lehr, A, L; Pazik, J; Longo, J; Hesketh, R. P. Machine Learning enabled Life Cycle Assessment for Early-stage Sustainable Process Design. 2024. Proceedings of European Symposium on Computer-Aided Process Engineering (ESCAPE-34)/Process Systems Engineering (PSE-24), Florence Italy.
  • Gao, B.; Slater, C. S.; Curtis, S.; Fracchiolla, M.; Theuma, D.; Roth, S.; Padros, E.; Yenkie, K. M.; Hesketh, R.P.*Enhancing efficiency and quality in oil pipeline flushing: a novel laboratory scale pilot plant study. Accepted to the 2024 ASEE Annual Conference, Portland, OR.

2023

2022

  1. Jerpoth, S. S.; Hesketh, R.P.; Savelski, M.J.; Slater, C.S.; Yenkie, K. M.* Computational Modeling of Lube-Oil Flows in Pipelines to study the efficacy of Pipeline Flushing Operations. 2022 PSE (Process Systems Engineering) Symposium

2021

  1. Stengel, J.P.; Jerpoth, S.S.; Yenkie, K. M.* Integrating Design Thinking in Chemical Engineering Coursework for Enhanced Student Learning. 2021 ASEE Annual Conference, July 26-29, 2021.
  2. Yenkie, K. M.*, Orosz, A.; Pimentel, J.; Cabezas, H.; Friedler, F. The P-graph Approach for Systematic Synthesis of Wastewater Treatment Networks. CHISA (24th International Congress of Chemical And Process Engineering) – 2021. Presented at the Online Conference on March 16th, 2021.
  3. Yenkie, K. M.*; Chea, J. D.; Aboagye, A. A.; Savelski, M. J.; Slater, C. S. Teaching Sustainable Design through Simultaneous Evaluation of Economics and Environmental Impacts. Conference Proceedings of Engineering Education for Sustainable Development (EESD) – 2021 University College Cork, Ireland.

2020

  • Aboagye, A. A., Yenkie, K. M.*, Cabezas, H.; Friedler, F. 2020. The P-Graph Approach to Systematic Synthesis of Wastewater Treatment Networks. Proceeding of the International Conference on Advances in Systems, Control and Computing (AISCC-2020), Malaviya National Institute of Technology (MNIT), Jaipur, India, 27th -28th, February, 2020.

2019

  • Schmidt, K.; Kodate, P. M.; Yenkie, K. M.* 2019. Improved biomarker-based diagnostics of leukemia subtypes using machine learning methods. Proceedings of 1st International Conference on Foundations of Process Analytics and Machine Learning (FOPAM), The StateView Hotel – Marriot, Raleigh, North Carolina, 6th -9th August, 2019.
  • Chea, J. D.; Christon, A.; Reilly, J.; Pierce, V.; Russ, M.; Slater, C. S.; Savelski, M. J.; Yenkie, K. M.* 2019. Framework for Solvent Recovery, Reuse, and Recycling in Industries. Proceedings of 9th International Conference on Foundations of Computer-Aided Process Design (FOCAPD), Copper Mountain, Colorado, 14th – 18th July, 2019.
  • Yenkie, K. M.*; Burnham, S.; Dailey, J. M.; Cabezas, H.; Friedler, F. 2019. Generating Efficient Wastewater Treatment Networks: an integrated approach comprising of contaminant properties, technology suitability, plant design and process optimization. Proceedings of 29th European Symposium on Computer-Aided Process Engineering (ESCAPE), Eindhoven, Netherlands, 16th – 19th June, 2019.

2018

  • Dunn, I. C.; Yenkie, K. M.* 2018. Prediction of Optimal Chemotherapy Dosing Regimens: Balancing Tumor Degradation and Toxicity Effects. IFAC’s Nonlinear Model Predictive Control Conference, WI, 19th – 22nd August, 2018.

Prior to 2017

  • Yenkie, K. M.; Diwekar, U. M. 2015. Uncertainty in clinical data and stochastic model for superovulation stage in in-vitro fertilization. Proceedings of 12th International symposium on Process Systems Engineering (PSE) and 25th European Symposium on Computer-Aided Process Engineering (ESCAPE), Copenhagen, Denmark, 31st May – 4th June, 2015.
  • Yenkie, K. M.; Diwekar, U. M. 2014. Comparison of optimal control methods for customized drug dosage prediction in superovulation stage of in-vitro fertilization. Proceedings of the 8th International conference on Foundations of Computer-Aided Process Design (FOCAPD), 807-812, Cle Elum, Washington, 13th-17th July, 2014.
  • Yenkie, K. M.; Diwekar, U. M.; Bhalerao, V. 2012. Modeling the superovulation stage in in-vitro fertilization. Proceedings of the 11th International symposium on Process Systems Engineering (PSE), 840-844, Singapore, 15th-19th July, 2012.
  • Yenkie, K. M.; Singh, K. P.; Jadhav, S.; Wangikar, P. P. Morphological model to correlate morphology and metabolism in Actinomycetes, Chemference 2010, Session 5: Bioprocess Engineering, S-501, Kanpur, UP, India.

CONFERENCE PRESENTATIONS

Please see the detailed CV or Google Scholar Page