Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models. - Timur Bikmukhametov; Johannes Jäschke (Comput. Chem. Eng., 2020)

Machine Learning and First Principles Modeling Applied to Multiphase Flow Estimation. - Timur Bikmukhametov (2020)

Hybrid Machine Learning Modeling of Engineering Systems - A Probabilistic Perspective Tested on a Multiphase Flow Modeling Case Study. - Timur Bikmukhametov; Johannes Jäschke (CoRR, 2022)