A collection of my academic and personal endeavors.
Machine Learning & Optimization
A Bayesian optimization framework for handling computationally expensive and potentially uncomputable objective functions, combining concepts from computability theory and risk-aware decision making.
Computer Vision & Deep Learning | Object Detection
A novel deep-learning framework for enhancing object detection under poor visibility conditions, inspired by human visual cortex mechanisms and atmospheric scattering models.
Computer Vision | Lunar Image Registration
A Python package, IntFeat, an image registration method that combines high-level features from SIFT and low-level features from ORB into a single vector space to apply registration on any two images.
NLP | COVID Vaccine Buyers' Remorse Analysis
A framework for analyzing COVID-19 narrative evolution and tracking media bias in vaccination discourse, examining the relationship between media framing and vaccine hesitancy.
Autonomous Vehicles | Sensor Fusion
Implementation of adaptive sensor fusion techniques for autonomous vehicles, focusing on robust perception in varying environmental conditions.
Generative AI | Evaluation Framework
A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive Principles.
NLP | Multilingual Models
A comprehensive benchmark dataset for evaluating Indic language models on multi-task language understanding.
Dataset