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个人简介
Varish Mulwad is a Lead Scientist in the Artificial Intelligence technology domain at GE Research. His research focuses on extracting information from unstructured, semi-structured and structured sources to automatically populate knowledge graphs. He does this by leveraging techniques from areas such as the Semantic Web, natural language processing (NLP) and machine learning.
At GE Research, along with expanding the state of the art, Dr. Mulwad also focuses on developing solutions to improve industrial productivity. For example, he led the development of an AI agent to assist human IT agents in classifying IT tickets into categories, recommending possible resolutions for new problems and recommending experts that can assist in resolving complex issues. The AI agent, deployed in production and used by GE’s IT tech agents, led to significant productivity gains. In addition, he was part of a team that developed NLP algorithms for extracting concepts from medical documents and recommending relevant documents from a patient's history to radiologists. He further led the effort to transition these algorithms into GE Healthcare’s medical imaging software product. He is currently developing NLP algorithms for the extraction of scientific concepts and equations from text as part of DARPA’s Automating Scientific Knowledge Extraction (ASKE) program.
At GE Research, along with expanding the state of the art, Dr. Mulwad also focuses on developing solutions to improve industrial productivity. For example, he led the development of an AI agent to assist human IT agents in classifying IT tickets into categories, recommending possible resolutions for new problems and recommending experts that can assist in resolving complex issues. The AI agent, deployed in production and used by GE’s IT tech agents, led to significant productivity gains. In addition, he was part of a team that developed NLP algorithms for extracting concepts from medical documents and recommending relevant documents from a patient's history to radiologists. He further led the effort to transition these algorithms into GE Healthcare’s medical imaging software product. He is currently developing NLP algorithms for the extraction of scientific concepts and equations from text as part of DARPA’s Automating Scientific Knowledge Extraction (ASKE) program.
研究兴趣
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VLDB Workshops (2023)
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ESWC Workshops (2023)
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Annual Conference of the PHM Societyno. 1 (2022)
INTEGRATING MATERIALS AND MANUFACTURING INNOVATIONno. 4 (2022): 467-478
arxiv(2021)
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user-5d4bc4a8530c70a9b361c870(2019)
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