The Language of the Unseen.....!!

In an unseen world where hidden forces play,

Quirks of fate affected by signal's display.

Tiny tots cloaking their moves,

Unsure uncertain of their real groove.

Deceiting by key to a forbidden door,

The velvet trap for a foreign shore.

The cells dance responding to the changes around;

Through codes and notes, the dialogues profound.

Host molecules as signal and subtle cue,

Rewrites the script as memory through.

From hidden threads, a logic emerge

Met with uncertainty time and verse.

The silent noise, when heard and learnt

Revealing the strength of life obscure!

Fundings

Understanding how tiny organisms make very complicated survival decisions

a close up of a bunch of purple flowers
a close up of a bunch of purple flowers
Colonies of microorganisms are scattered across a petri dish. The colonies vary in size but are mostly small and round. They create a dense clustering toward the center with more scattered formations around the edges.
Colonies of microorganisms are scattered across a petri dish. The colonies vary in size but are mostly small and round. They create a dense clustering toward the center with more scattered formations around the edges.

Microbial Cross Talks: Microbial cross talks: Mechanisms of bacterial signaling interference in virulence determinants and pathogenesis

This project explores how microbial communication molecules regulate bacterial virulence and host–pathogen interactions. Focusing on quorum sensing signals, including AI-2, AIPs, acyl homoserine lactones, and polyamines, the study investigates their roles in bacterial pathogenesis, host cellular responses, stress adaptation, and interspecies signaling in Streptococcus pyogenes.

Ramalingaswami Re-entry Fellowship: Department of Biotechnology

PreventIT: Risk Management and Prevention of Antimicrobial Resistance

PREVENT IT is an Indo-European Erasmus+ initiative focused on combating antimicrobial resistance through education, awareness, and capacity building. The project developed interdisciplinary academic modules, online training platforms, awareness campaigns, and living-lab approaches to improve understanding of antibiotic resistance among students, healthcare professionals, and society, promoting sustainable risk management and prevention strategies.

ERASMUS+ : European Union

This project aims to develop an AI-assisted point-of-care diagnostic platform for rapid detection of antimicrobial-resistant ESKAPE pathogens. Integrating machine learning with nanotechnology, machine learning, and lateral flow assays, the study focuses on simultaneous pathogen identification, antibiogram determination, and virulence profiling to enable rapid, accurate, and resource-accessible clinical diagnostics.

PURSE : Department of Science and Technology

a close up of a green plant stem
a close up of a green plant stem

Fostering multi-disciplinary artificial intelligence ai-assisted research for health and sustainable environment

This project explores the evolution of bacteriophage receptor-binding proteins and resistance-associated genomic signatures in ESKAPE pathogens. Machine learning-guided analysis of bacterial and phage genomes will be used to identify highly specific targets linked to antimicrobial resistance and virulence for development of next-generation biosensing strategies.

Indian Council of Medical Research

Role of polyamines in the virulence of Neisseria meningitidis

a close up of a bunch of cell phones
a close up of a bunch of cell phones

This project investigates the role of polyamines in regulating the virulence, stress adaptation, and antimicrobial resistance of Neisseria meningitidis. Focusing on host–pathogen signaling, polyamine transport, macrophage survival, capsule regulation, quorum sensing, and tissue specificity, the study aims to uncover molecular mechanisms governing meningococcal pathogenesis and asymptomatic-to-symptomatic transition.

Department of Science and Technology

Fostering artificial intelligence assisted point-of-care portable analyzer for rapid diagnosis of antimicrobial resistant ESKAPE pathogens