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Chemical sensor development for water contaminants and technology for their removal

Continuous monitoring of water quality parameters, like total dissolved solids, heavy metals, inorganic ions, organic pollutants etc.is an important measurement, to ascertain quality and use of a water body. This is critical for both a flowing water-stream (river, canal) or a stagnant water-pool, like a lake. To that end, in this project, one has to work with chemical reagants, which have been tested with both synthetic and field-water samples, for various species, like arsenic, fluoride, chromium, iron etc.

Catalyst and reactor development for sustainable CO2 Utilization and Storage

Utilization of CO2 as a renewable feedstock to produce fuels/chemicals is a potential way to mitigate the effects of anthropogenic climate change. However, CO2 conversion technologies are still at a nascent stage and are limited by several technical challenges. Development of active, selective, and stable heterogeneous catalysts is key to the development of such technologies. This project will focus on the synthesis of tailor-made catalysts for the catalytic conversion of carbon dioxide into value-added chemicals or syngas or solid carbon with/without light irradiation.

Effects of conformation-dependent drag on elastic turbulence

This project will investigate the effects conformation dependent drag (CDD) of polymers on the properties of elastic turbulence in dilute polymer solutions. CDD arises from hydrodynamic interactions between segments of the polymer and can be modelled, in a coarse-grained manner, by making the relaxation time of an elastic dumbbell dependent on the dumbbell's extension. The effects of CDD in viscometric flows have been well-studied, e.g. the coil-stretch hysteresis in extensional flow.

How Combinations of Mutations Drive Antibiotic Resistance, Cancer, and Evolutionary Outcomes

Antibiotic resistance often arises not from single mutations, but from specific combinations of mutations that together change how proteins and genes function. This project will study how such mutation combinations shape the evolution of essential bacterial proteins and gene regulatory DNA. Using existing experimental data and new analyses, the student will examine how mutations interact to enable or block resistance, focusing on enzymes involved in drug response and bacterial promoter regions that control gene expression.

Machine learning for inverse problems in reaction engineering

Consider a chemical reactor like a PFR. In the usual, forward problem, taught in CRE courses, you are given the input flow rate and reactant concentration, along with kinetic reaction-rate information, and asked to predict the output concentration or conversion. But suppose, instead, that the conversion is measured experimentally and you are asked to use a model to estimate the input flow rate or input concentration. This is an inverse problem. Such problems arise when using specialized research reactors to determine chemical kinetics information.