School of
Applied Sciences

Synthesis and multi-scale characterization (XRD, TEM, SEM-EDX, BET) of quantum dots, metal-organic frameworks (MOFs), carbon nanotubes, and functionalized nanocomposites. Key applications: targeted drug delivery, perovskite solar cells, capacitive energy storage, and heavy-metal ion sensing in wastewater.

Design and characterization of dielectric polymers, piezoelectric ceramics, bio-composites, and stimuli-responsive hydrogels. Research involves DSC, TGA, FTIR, XPS, and Raman spectroscopy platforms. Applications include flexible wearable sensors, bone-mimetic scaffolds, and corrosion-resistant coatings.

Deploying transformer-based deep learning, ensemble ML pipelines, and physics-informed neural networks (PINNs) to accelerate discovery. Research covers computational drug docking, hyperspectral remote sensing of forest cover, and IoT-embedded edge AI for real-time water quality and air-pollution monitoring.

Long-term biodiversity assessment in Eastern Ghats and Odisha coastal wetlands using metagenomics and eDNA profiling. Research covers phytoremediation of mine spoils, carbon sequestration modeling, microplastic accumulation in aquatic food webs, and climate-resilient agroforestry design.

Extrusion-based and stereolithography (SLA) bioprinting of cell-laden hydrogel constructs for skin, cartilage, and bone tissue models. Combined with CRISPR-edited cell lines for disease modeling, microfluidic organ-on-chip systems, and AI-guided scaffold porosity optimization for regenerative medicine.