Publications and Presentations

Student Presentations

  1. Dunn, I. C.; Yenkie, K. M. Prediction of Optimal Chemotherapy Dosing Regimens: Balancing Tumor Degradation and Toxicity Effects (Paper MoAPo1.13). IFAC’s Nonlinear Model Predictive Control (NMPC) Conference, Madison, WI, 19th – 22nd August, 2018.
  2. Yenkie, K. M.; Dailey, J. M.; Burnham, S. Generating Wastewater Treatment Networks: An integrated approach comprising of contaminant properties, technology suitability, plant design and process optimization. ICOSSE (International Congress on Sustainability Science and Engineering) Meeting, 2018, Cincinnati, OH.
  3. Dunn, I. C.; Yenkie, K.M. Optimization in Cancer Chemotherapy Regimens. AIChE’s Mid-Atlantic Student Regional Conference, 2018, Princeton University, NJ. (awarded first prize in paper presentation competition)
  4. Dailey, J. M.; Burnham, S.; Yenkie, K.M. Design of Efficient Wastewater Treatment Networks for Municipal Wastewater Treatment. AIChE’s Mid-Atlantic Student Regional Conference, 2018, Princeton University, NJ.
  5. Burnham, S.; Dailey, J. M.; Yenkie, K.M. Design of Efficient Wastewater Treatment Networks in the Pharmaceutical Industry. ISPE New Jersey Chapter’s Student Poster Competition, 2018, Bristol-Myers Squibb, New Brunswick, NJ.
  6. Dunn, I. C.; Schwenger, M. S.; Vandergrift, S. M.; Yenkie, K.M. Modeling and optimization in Cancer Therapeutics. AIChE Delaware Valley Section’s Student Poster Symposium, 2017, FMC Towers, Philadelphia, PA.
  7. Dailey, J. M.; Giddings, C. S.; Yenkie, K.M. Design and optimization for generation of efficient wastewater treatment networks. AIChE Delaware Valley Section’s Student Poster Symposium, 2017, FMC Towers, Philadelphia, PA.

Peer-reviewed Journal Publications

  1. Yenkie, K. M.; Diwekar, U. M. The ‘No sampling’ parameter estimation algorithm for stochastic differential equations. Chemical Engineering Research & Design, 129: 376-383.
  2. 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.
  3. Wu, W.; Yenkie, K. M.; Maravelias, C. T. 2016. A superstructure based framework for bio-separation network synthesis. Computers and Chemical Engineering, 96: 1-17.
  4. 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.
  5. 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.
  6. 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.
  7. Yenkie, K. M.; Diwekar, U. 2014. Uncertainty in clinical data and stochastic model for in-vitro fertilization. Journal of Theoretical Biology, 367: 76-85.
  8. 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.
  9. 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).
  10. 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.
  11. Yenkie, K. M.; Diwekar, U.; Bhalerao, V. 2013. Modeling the superovulation stage in in-vitro fertilization. IEEE Trans. Biomed. Eng., 60(11): 3003-3008.
  12. Yenkie, K. M.; Diwekar, U. 2013. Stochastic optimal control of seeded batch crystallizer applying Ito process. Eng. Chem. Res., 52:108-122.

Peer-reviewed Conference Publications:

  1. Yenkie, K. M.; Diwekar, U. M. 2015. Uncertainty in clinical data and stochastic model for superovulation stage in in-vitro fertilization. Proceedings of the 12th International symposium on Process Systems Engineering (PSE) and 25th European Symposium on Computer-Aided Process Engineering (ESCAPE).
  2. 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.
  3. 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.
  4. 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.