A collection of my academic and personal endeavors.
Bayesian Optimization, Computability, Risk-Aware AI
A novel Bayesian optimization framework for black-box functions with uncertain or uncomputable outputs, integrating Gaussian process surrogates and halting probability modeling for risk-aware decision making in computationally intractable domains.
Vision Enhancement, Selective Dehazing, Object Detection
An adaptive deep learning pipeline for object detection in adverse weather, leveraging selective region dehazing and human visual system-inspired attention to maintain accuracy in fog, haze, and clear conditions.
Lunar Image Registration, SIFT+ORB Fusion, Space Imaging
A hybrid feature-based image registration toolkit for lunar surface analysis, combining SIFT and ORB descriptors to achieve robust alignment across diverse lunar imagery and mission datasets.
NLP, Media Analysis, Vaccine Remorse, COVID-19
A natural language processing framework for tracking COVID-19 vaccine remorse and narrative evolution in media, using sentiment analysis and temporal topic modeling to inform public health interventions.
Autonomous Vehicles, Multi-Modal Fusion, Robust Perception
Evaluation and comparison of advanced sensor fusion architectures (Spatial-IL, Fusion-DETR, HFN) for robust perception in autonomous vehicles, with adversarial testing on the KITTI dataset.
LLM Evaluation, Cognitive Taxonomy, Prompt Engineering
A universal evaluation framework for large language models, introducing the Hierarchical Prompting Taxonomy (HPT) and Index (HPI) to benchmark cognitive complexity and prompt-based reasoning.
Multilingual Benchmark, Indic LLMs, Language Understanding
A comprehensive benchmark for evaluating large language models on multi-task language understanding across major Indic languages, supporting research in multilingual NLP and model generalization.
Dataset