Vivek Khetan

Vivek Khetan is a prominent figure in the field of artificial intelligence, currently serving as the R&D Associate Principal at Accenture Labs in San Francisco. With over eight years of experience, he specializes in advanced natural language processing (NLP), machine learning, and knowledge graphs. His work primarily focuses on developing AI technologies that enhance compliance and causality detection in textual data.

Education and Background

• Undergraduate Degree: Bachelor of Technology (B.Tech) from Indian Institute of Technology (IIT), Dhanbad.
• Graduate Degree: Master’s degree from The University of Texas at Austin.

Research and Contributions

Vivek Khetan has made significant contributions to various research areas, including:

• Natural Language Processing: He has worked on projects involving causal relationships in text, contributing to advancements in understanding how events are related within narratives.
• Machine Learning: His research includes the development of models that improve the extraction of causal relations from clinical notes and social media.
• Knowledge Graphs: He leads efforts to utilize knowledge graphs for intelligent compliance solutions.

Publications

Khetan has authored several papers and articles in reputable journals and conferences, focusing on topics such as causal inference in NLP, medical claim identification, and the utilization of machine learning for data analysis. Notable works include:

• "Causal BERT: Language models for causality detection between events expressed in text"
• "MIMICause: Representation and automatic extraction of causal relation types from clinical notes"

Professional Affiliations

In addition to his role at Accenture Labs, Khetan is actively involved in various AI research communities and conferences, contributing to discussions on the application of AI for societal benefits.

Overall, Vivek Khetan's expertise in AI and his commitment to advancing technology for practical applications make him a key player in the field.