Welcome to Dr. Chaudhuri’s Lab

Dr. Chaudhuri holds Associate Professor positions in the Departments of Pharmaceutical Sciences and Institute of Material Sciences (IMS) at the University of Connecticut. He is formally trained in Chemical and Mechanical Engineering disciplines and focus on solving problems of pharmaceutical significance with a rigor of engineering approaches.

Dr. Chaudhuri’s research program is primarily focused in unraveling the behavior of granular material which poses fundamental conceptual challenges. Granular flow impacts numerous unit operations pertinent to pharmaceutical manufacturing and further study is needed to better understand how it will impact these operations. Dr. Chaudhuri, and his graduate and undergraduate students, in several Government and Industrially funded projects, are involved in using fundamental knowledge of granular mechanics to understand, design, model and scale-up various unit operations such as Coating, Granulation, Milling, Drying, Mixing and Tableting which are key processes in pharmaceutical manufacturing.

As closely related to his interest in granular flow, Dr. Chaudhuri is also involved in the development of Computational Fluid Dynamics (CFD) based models of pharmaceutical applications such as aerosol flow in Metered Dosage Inhalers (pMDI), Dry Powder Inhalers (DPI) or multiphase flow in the fluidized bed. Dr. Chaudhuri’s group is also interested in developing CFD based models for environmental/biomedical applications such as evaluation of blood flow in cardiovascular system, exposure to second hand smoke, green tobacco sickness, pollutants and biohazardous materials.

Dr. Chaudhuri’s other research interest is the areas of multiscale modeling of biological systems. His focus is in the development of high performancemolecular modeling algorithms to gain a fundamental understanding of nanoscale transport and thermodynamics. He intends to employ numerical tools and mathematical approaches to integrate models from micro-scales to macroscales in a seamless fashion to build quantitatively predictive models of complex biological behaviors such as transdermal or pulmonary activity, embryonic development and cancer.