My professional interest is research and development of AI and ML techniques on connecting unstructured data to knowlege graphs to aid business analytics. Currently, my focus is on semantic understanding of tabular data. Prior to this, I have worked on document retrieval and question answering over unstructured documents.
I have also been involved in the development of decision-support analytics based on structured information such as those obtained from enterprise databases. I have applied them in a variety of business areas such as semiconductor manufacturing, data centers, grid computing, and manufacturing supply chains.
I received a Ph.D. in Electrical and Computer Engineering from Vanderbilt University in 1995 where my research was on task planning for robots operating in environments not specifically designed for them.