Deepak Mangal

Education

Ph.D. (2021), University of Houston (Advisors: Dr. Jeremy C. Palmer and Dr. Jacinta C. Conrad)
B.Tech. (2012), Indian Institute of Technology Kharagpur, India (Advisor: Dr. Sudarsan Neogi)

Research Interests
Deepak Mangal is a postdoctoral research associate with a broad research interest in the transport in porous media, rheology of colloidal systems, and scientific machine learning.
His research focuses on:

Investigating the structural underpinnings of various rheological phenomena in colloidal systems using simulation and network science tools.
Utilizing deep learning frameworks such as PINN and DeepONet to tackle complex constitutive equations.
Investigating the effect of hydrodynamic interactions on dispersion of finite-sized particles through fibrous media

Publications

Learning a family of rheological constitutive models using neural operators

Deepak Mangal, Milad Saadat, Safa Jamali

Journal of Rheology · 2025

Neural Operators

Data-driven techniques in rheology- Developments, challenges and perspective

Deepak Mangal, Anushka Jha, Donya Dabiri, Safa Jamali

Current Opinion in Colloid & Interface Science · 2024

Data-Driven Rheology

Predicting yielding in attractive colloidal gels

Deepak Mangal, Mohammad Nabizadeh, Safa Jamali

Physical Review E · 2024