Research Overview

Our research group, at the Department of Chemical Engineering, has made important contributions to the interdisciplinary fields of chemical engineering, bioinformatics, bioremediation, and drug delivery systems. Our research projects integrate experimental biology with computational modelling, aiming to solve problems in human health and environmental sustainability.
• Amyloid Beta Aggregation and Alzheimer’s Pathogenesis
The ongoing research activities on this theme have resulted in the development of kinetic models to simulate how Amyloid Beta fibrils aggregate in the brain—a key factor in Alzheimer’s Disease as per amyloid hypothesis. Our models are based on free radical polymerization, with reactive oxygen species (ROS) acting as the initiator. The inhibitory effects of chlorogenic acid, a natural antioxidant, as well as some peptides on Aβ aggregation using extended kinetic models have been investigated. The reported modelling framework is general and can be extended to study other inhibitors like polyphenols, peptides, and metal chelators, offering a predictive tool for drug screening in Alzheimer’s Disease.
• RNA Interference and Neurodegenerative Diseases
In the domain of RNA interference (RNAi), our research group has explored the use of siRNA design and delivery systems for gene silencing, particularly targeting the BACE1 gene implicated in Alzheimer’s disease. The innovative use of polyelectrolyte-gold nano assemblies for neuronal siRNA delivery showcases a promising route for treating neurodegenerative disorders. This research bridges nanotechnology and molecular biology, opening the avenues for targeted delivery.
• Bioinformatics and Gene Expression Analysis
Our research group has applied density-based clustering techniques, graph-theoretic frameworks and global optimization techniques to analyse gene expression data from cDNA microarrays. Our published work on array informatics and gene network modelling enables better understanding of cellular responses and disease mechanisms. This computational approach supports the development of targeted therapies and enhances the predictive power of biological models. It is envisaged to extend this work for using network-based machine learning in neurodegenerative diseases and cancer.
• Rational Drug Design and Controlled Drug Delivery
Research work in the area of computer-aided drug design involves reverse engineering lead compounds using quantitative structure-activity relationships (QSAR). Research students in the group have developed diffusion-controlled drug delivery devices, such as systems for the sustained release of Paclitaxel, a chemotherapy agent. These contributions are vital for improving therapeutic efficacy and minimizing the side effects during treatment.
• Environmental Remediation and Biodegradation
One of the most impactful areas of our research is bioremediation, particularly the degradation of hazardous azo dyes and aromatic amines. Our research group’s work with Klebsiella pneumoniae and recombinant E. Coli has demonstrated enzymatic pathways for breaking down sulphonated azo dyes, offering eco-friendly alternatives to conventional chemical treatments. These studies not only advance microbial biotechnology but also contribute to cleaner industrial practices and wastewater management.
• Process Optimization and Reactor Design
In the domain of chemical engineering, research group has applied multi-objective optimization techniques to improve Circulating Fluidized Bed (CFB) reactor design for maleic anhydride production. The work enhances process efficiency, scalability, and environmental compliance in industrial settings.
• Sustainable Fuels and Biodiesel
Earlier research in the group includes transesterification of non-edible oils for biodiesel production. The optimization of reaction parameters and fuel characterization supported India’s push toward renewable energy sources. It is envisaged that these studies contributed to energy security and reduced dependence on fossil fuels.

Current Students

M.Tech

PhD

Graduated students

M.Tech

PhD