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Bhupatiraju, Ravi Teja, MBBS, PhD

Senior Artificial Intelligence Research Scientist

Research Focus & Expertise

  • Biomedical Information Retrieval & Medical Informatics: Focuses on genomic data retrieval (TREC Genomics Tracks), medical document triage, and indexing/retrieval systems for healthcare metadata. 
  • Clinical Cognition & Medication Management: Modeling medication review processes and decision-making by clinicians.  
  • Clinical NLP & Knowledge Mining: Developing Natural Language Processing pipelines (e.g., Drug-Drug Interaction extraction for the FDA), biomedical Named Entity Recognition (NER), and MeSH term analytics.  
  • Multimodal AI & Wearables: Stress, drowsiness, and physiological monitoring using video, facial landmarks, and biometric wearable data.  
  • Public Health & Predictive Analytics: Epidemiological mobility modeling (e.g., COVID-19 transmission tracking) and clinical application of Large Language Models (LLMs).

Publications, Conferences and Papers

A multimodal sensor dataset for continuous stress detection of nurses in a hospital (2022)

Journal: Scientific Data

Focus: Continuous health and stress tracking using wearable sensor and physiological data.

TREC 2006 genomics track overview (2006)

Journal/Conference: NIST Special Publication / TREC

Focus: Evaluation benchmark and information retrieval standards for genomic and biomedical literature.

Adopting e-learning standards in health care: competency-based learning in the medical informatics domain (2006)

Journal: AMIA Annual Symposium Proceedings

Focus: Integration of Healthcare Learning Object Metadata (LOM) and medical competency frameworks.

Feature generation, feature selection, classifiers, and conceptual drift for biomedical document triage (2004)

Journal/Conference: Text REtrieval Conference (TREC)

Focus: Machine learning models for triaging relevant biomedical literature.

Enhancing access to the Bibliome: the TREC 2004 Genomics Track (2006)

Journal: Journal of Biomedical Discovery and Collaboration

Focus: Large-scale information retrieval techniques applied to MEDLINE and biomedical databases.

Exploring the relationship between mobility and COVID-19 infection rates for the second peak in the United States using phase-wise association (2021)

Journal: Scientific Reports

Focus: Data-driven analysis linking human mobility data with infectious disease dynamics.

MetaMap lite in excel: biomedical named-entity recognition for non-technical users (2017)

Journal: Studies in Health Technology and Informatics

Focus: Accessible NLP tools for clinical named-entity recognition in spreadsheet platforms.