Hello — I'm Prasanna. I lead the Materials Chemistry and Polymer Technology (MCPT) Lab at IIT Bombay, where we design multifunctional polymer nanocomposites that address critical challenges in sustainable energy harvesting and environmental remediation.
My research spans from fundamental materials design through nanoparticle engineering and polymer processing to device fabrication and advanced characterization — translating science into self-powered sensors, filtration membranes, and smart materials.
At the MCPT Lab, we develop piezoelectric and triboelectric nanogenerators (PVDF, MXenes, lead-free halide perovskites, high-entropy oxides) for wearable energy harvesting and self-powered IoT sensing, alongside antibacterial and antifouling polymer membranes for water remediation. We emphasize electrospinning, structure–property relationships, and scalable processing.
Our group of 11 doctoral students and 2 postdoctoral researchers has produced 42 peer-reviewed articles (~60% Q1), four edited books, and secured over ₹1.12 crores in external funding. We also explore machine learning and polymer informatics approaches for materials optimization and charge-transport phenomena in polymer nanocomposites.
From molecular design to device fabrication — spanning energy, water, and smart electronics.
Self-powered sensors and wearable energy harvesters based on PVDF, MXenes, lead-free halide perovskites, and high-entropy oxides. Special focus on electrospun nanofiber generators and ML-guided optimization.
Antibacterial and antifouling membranes with graphene oxide, silver nanoparticles, and bio-inspired surfaces for forward osmosis, desalination, and wastewater treatment.
Structure–property relationships for EMI shielding, dielectric energy storage, and charge transport. Selectively localized nanofillers, conducting polymer blends, perovskite–polymer hybrids.
Nanofiber fabrication for energy harvesting, filtration, and bioelectronics — 3D printing, surface functionalization, and scalable hybrid processing.
Machine learning and Bayesian optimization applied to polymer nanocomposite design — surrogate models for piezoelectric output, dielectric response, and membrane flux.