Research
Explorations and publications in the field of artificial intelligence, computer vision, and machine learning.
Evaluating Zero-Shot Capabilities of Small Language Models in Medical QA
2024This paper investigates the performance of sub-7B parameter models on specialized medical question-answering datasets, proposing a novel retrieval-augmented approach to mitigate hallucinations without fine-tuning.
Robust Feature Extraction in Low-Light Computer Vision
2023A comparative study of contemporary feature extraction techniques applied to exceptionally low-light environments, introducing a synthetic dataset for benchmarking autonomous vehicle perception.
Federated Learning for Privacy-Preserving IoT Systems
2023We propose a localized gradient aggregation algorithm that significantly reduces communication overhead while maintaining differential privacy for resource-constrained IoT edge devices.