AJAY BARANWAL works at D2S where he leads applied deep learning research and development efforts to solve semiconductor manufacturing problems. Much of his work at the Center relates to machine vision, learning from limited data, and building digital twins to synthesize new data. His previous experience includes work on several TensorFlow-based applications, including a prediction and diagnostic system, a document retrieval, and an information extraction system. He holds patents, is a co-author of several industrial papers, and has been a speaker at industry conferences. He is also a co-author of What’s new in TensorFlow 2.0 (2019). He began serving as chair of the AI program in 2023.
Publication(s)
What’s new in TensorFlow 2.0 (2019)
Associated Program(s)
AI Application Development
Artificial Intelligence
