Mandakini Padhi

I have good knowledge and experience in a variety of fluid dynamics and particle technology areas, including computational fluid dynamics, mathematical modelling, rheology, and hybrid modeling. I am also passionate about data analytics and image analysis, and I enjoy finding new ways to apply these skills to solve complex problems Currently exploring the physics-informed neural networks platform to identify the difficult to achieve variable in PDEs through experiments.

I believe that new technology has the power to revolutionize the way we develop and deliver solutions, and I am eager to learn and implement state-of-the-art technologies with given opportunities.

Pfizer Healthcare India Pvt. Ltd., R&D, Chennai, Senior Scientist

2021- Till date

Job responsibilities: Process modelling, CFD, data analytics, first- principle model development.

Ultratech cements Ltd., Aditya Birla Group, Process Engineer

2010–2013

Job responsibilities: Technical services, supporting auditing team, six- sigma project member, involved in 10000T plant commissioning.

PhD - Chemical Engineering

2015 - 2021

About PhD thesis: Developing mathematical model for ‘multicomponent classification in hydrocyclone’ and ‘bi-disperse particle slurry rheology’ to increase the efficiency through computational and experimental efforts. Exposer to multiple national and international conferences for presenting the scientific findings.

Publications: MANDAKINI PADHI - Google Scholar

M. Tech – Chemical Engineering

2013 - 2015

The research topic focuses on understanding multicomponent behavior in a highly turbulent fluid system during hydrocyclone classification. Concepts of computational fluid dynamics, Lab experimentation on classification, data analysis, DoE are implemented.