Chetan Gupta

Chetan Gupta

Chief Data Scientist and Head of Industrial AI Lab
Country: United States
Area of Interest: AI & Machine Learning


Dr. Chetan Gupta is the Chief Data Scientist and Head of Industrial AI Lab at Hitachi America. Chetan has more than 15 years of experience in analytics, big data, and related domains. Over his career he has worked both as a machine learning data scientist as well as in designing systems and architectures for big data applications.  

At Hitachi, he manages a large team of data scientists, architects and developers that is engaged in developing cutting edge solutions and opening new frontiers in the area of industrial analytics. His team builds fundamental horizontal technologies that are then used to build solutions for industry specific verticals. He has led efforts to build horizontal solutions in predictive maintenance, quality, operations monitoring and control, and for verticals such as mobility, mining, building energy management systems, etc.

Over the years Chetan has led multiple research and development teams and mentored young researchers. He has close to 50 patents either granted or under review and more than 40 publications in the area of data mining/machine learning, data stream systems, complex event processing, workload management, etc. Chetan has a Ph.D. in Mathematics and M.S. in Mathematical Computer Science and Chemical Engineering from University of Illinois, Chicago.


New results for application of AI in Manufacturing

Artificial Intelligence ( AI ) will impact all aspects from manufacturing, from design of assembly lines, to operations, quality, maintenance and supply chain management. In this talk we will first give a birds eye view of applications of AI to manufacturing before taking a deeper dive into some new results. Here we will present results on computing operating envelopes to optimize manufacturing KPIs, use of Deep Reinforcement Learning in scheduling, and optimizing a multi-echelon supply chain. We will conclude by giving pointers on ongoing work and new research directions in application of AI in manufacturing.


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