AI Researcher | Multimodal Systems | Healthcare & Scientific AI
Vikhram S is an undergraduate researcher in Electronics and Communication Engineering at Saveetha Engineering College, India. His work focuses on multimodal artificial intelligence systems, with particular emphasis on vision–language models, explainable machine learning, scientific reasoning, and domain-specific AI architectures.
His research explores the integration of perception, language, and structured reasoning in machine intelligence systems. He has developed multimodal frameworks for healthcare applications, including explainable radiology report generation, confidence-aware inference systems, and clinically oriented vision–language architectures.
Beyond technical research, his interests extend to AI governance, public-interest technology, institutional systems, and the intersection of emerging technologies with policy and societal impact.
Email: vikhrams@saveetha.ac.in
Institution: Saveetha Engineering College, India
Research Profiles: GitHub , Hugging Face
A multimodal radiology framework integrating Vision Transformers and BioGPT for structured clinical report generation, explainability, and confidence-aware medical inference across diagnostic workflows.
An open-source constitutional intelligence framework providing retrieval-based legal NLP capabilities for semantic exploration of Indian constitutional texts. Distributed through PyPI and Conda with more than 30,000 cumulative downloads.
Lead author of a featured chapter in the India AI Impact Summit 2026 Casebook on AI and Gender Empowerment, published through collaborations involving the Ministry of Electronics and Information Technology (MeitY), Government of India, and UN Women. He was the sole undergraduate contributor among a cohort primarily comprising doctoral researchers and senior professionals.