Internship Experience

Predator Prey Scavenger Model using Holling's Functional Response of Type III and Physics Informed Deep Neural Networks - Worked on formulating and simulating a predator-prey-scavenger model with Holling's Type III functional response, estimating parameters using a physics-informed deep neural network from American Forest Dataset with fine-tuning the model parameters through Broyden-Fletcher-Goldfarb-Shanno algorithm and testing stability with Jacobian analysis.

Equidistributed moving Mesh Using Entropy-based Monitor function for Convection-Dominated Problems - Details will be updated soon.

Adaptive equidistributed moving meshes using Entropy-based strategy implemented using Deep Neural Networks for Convection Dominated Problems - Solved 1-dimensional linear convection-dominated singularly perturbed problems using deep neural networks to find out the adaptive equidistributed moving mesh by overcoming the problem of mesh starvation. Devised Mesh-based method that doesn't require prior knowledge of layer location in the domain but only the number of mesh points is required.

KANHA – Kinetically Adaptive Neurodevelopmental-disorder Highway Assistant - Technique that provides real-time road safety technology for neurodevelopmental patients which is a personalized assistant that suggests optimal routes for neurodevelopmental patients using their facial expressions and surrounding analysis simultaneously for the learning process.

Autism Spectrum Disorder Detection using Nature Inspired Algorithms from 3D Video Dataset - Comparison study for various nature-inspired algorithms for their feature selection ability for binary classification type problems. Got 100% accuracy with 69.81% feature reduction and 96.87% accuracy with 99.68% feature reduction.