Our projects

Miniaturized or nanoparticle-based lasers are emerging as promising candidates for biological sensing and imaging, particularly in in-vivo settings. We aim to harness the engineered single-nanoparticle upconverting nano-lasers to sense, image and control biological functions.

The proposed research will investigate the dynamics of how insufficient cost recovery affects India’s electricity transition outcomes. It will also identify policy strategies that could address both cost recovery and electricity transition objectives in a cost-effective and equitable manner.

To ascertain the prevalence of key and emerging pollutants, close to major air pollution sources in Delhi-NCR via IIT Delhi’s mobile air pollution monitoring laboratory. Special emphasis will be paid on the concentration and characteristics of plastics in fine particular matter close to the sources...

A key feature of the booming IoT is the integration of a wide assortment of technologies, including various standards, proprietary communication protocols and heterogeneous platforms. This PhD thesis is aimed to propose theoretical and systematic solutions to the security of IoT integration.

Hysterectomy, the surgical removal of the uterus, is the most frequently performed surgical procedure in women after caesarean delivery in most countries. This project will investigate the causes and consequences of hysterectomy in India and Australia using secondary data.

Biodegradable polymers are of increasing global interest, particularly in applications like food packaging. However, the factors that influence their biodegradation are still to be fully understood. This project explores the effect of polymer additives and environmental pollutants on biodegradation.

This project aims to develop a coupled experimentally and machine-learning validated theory to assess the applicability of crushed waste glass recycling for backfill grouting in underground mines and tunnels.

Our goal is to simulate single cell migration of tumor cells in heterogeneous 3D environments. This involves the simulation of continuum-mechanical models for the cytoplasm, the nucleus, the cortex as well as microtubules through methods based on machine learning and solid-fluid structure coupling.

Production of high strength high ductility materials with superior corrosion resistance has been a long challenge. Stainless steel based nanocomposites are promising, but hard to be made conventionally. This project aims to design and develop such composites with additive manufacture approach.

Wind power ramp events often occur when a frontal system or lines of thunderstorms pass over a wind farm. This project will explore the flow physics associated these meteorological phenomena and their interaction wind farms through meso/micro-scale simulations and comparison with wind farm data.