Research & Publications
Deep Learning-Based Drug Repurposing Using Knowledge Graph Embeddings and GraphRAG
Herbert George, et al.
bioRxiv · Dec 10, 2025
This paper presents a deep learning-based strategy for drug repurposing using knowledge graph embeddings and GraphRAG. By combining pretrained TransE model embeddings on the DRKG with LLMs, the system processes natural language queries to retrieve relevant drug candidates and generate interpretable explanations of drug-disease relationships.
Nova: A Hybrid Deep Learning and Conversational AI Framework for Fashion Recommendation
Herbert George, et al.
IEEE Preprint · TechRxiv · Dec 8, 2025
Nova is an AI-powered fashion recommendation system offering tailored outfit recommendations and an AI chatbot. Utilizing deep learning models like GPT, LSTM, and BERT alongside massive datasets, Nova combines NLP and machine vision to empower consumers with personalized, sustainable styling guidance.
Advancing Driver Assistance Systems and Drowsiness Detection: Overcoming Challenges for Enhanced Road Safety
Herbert George, et al.
IEEE Preprint · TechRxiv · Nov 27, 2025
This paper reviews the landscape of Advanced Driver Assistance Systems (ADAS) with a focus on drowsiness detection. It proposes a comprehensive framework combining advanced machine learning algorithms, multimodal sensor fusion, and human-centered design to enhance the reliability and effectiveness of real-time fatigue detection.