Modeling the Superovulation Stage in In Vitro Fertilization. - Kirti M. Yenkie; Urmila M. Diwekar; Vibha Bhalerao (IEEE Trans. Biomed. Eng., 2013)

Comparison of different methods for predicting customized drug dosage in superovulation stage of in-vitro fertilization. - Kirti M. Yenkie; Urmila M. Diwekar (Comput. Chem. Eng., 2014)

Simulation-free estimation of reaction propensities in cellular reactions and gene signaling networks. - Kirti M. Yenkie; Urmila M. Diwekar; Andreas A. Linninger (Comput. Chem. Eng., 2016)

A superstructure-based framework for bio-separation network synthesis. - Wenzhao Wu; Kirti M. Yenkie; Christos T. Maravelias (Comput. Chem. Eng., 2017)

Enabling technology models with nonlinearities in the synthesis of wastewater treatment networks based on the P-graph framework. - Jean Pimentel; Emmanuel Aboagye; Ákos Orosz; Mihály Csaba Markót; Heriberto Cabezas; Ferenc Friedler; Kirti M. Yenkie (Comput. Chem. Eng., 2022)

Leveraging machine learning algorithms to predict life cycle inventory assessments (LCIA) to facilitate sustainable process design. - Emmanuel Aboagye; Jared Longo; Matt Conway; John Pazik; Milo Barkow; Marcella McMahon; Brendan Weil; Harriet Dufie Appiah; Robert Hesketh; Kirti M. Yenkie (Comput. Chem. Eng., 2025)