Introduction to Scalability and AutomationCornell Course

Vishal Gaur is the Anne and Elmer Lindseth Dean and Emerson Professor of Manufacturing Management at the Samuel Curtis Johnson Graduate School of Management in the Cornell SC Johnson College of Business. Gaur earned his PhD from the Wharton School at the University of Pennsylvania (2001), MBA from the Indian Institute of Management Ahmedabad (1995), and BTech in Computer Science and Engineering from the Indian Institute of Technology Delhi (1993).

As associate dean for MBA programs from 2014 to 2019, Gaur launched the Digital Technology Immersion, in which MBA candidates and students earning their MPS in data science or applied statistics develop skills in coding, databases, and advanced analytics, and learn to leverage them to tackle challenges faced by leading companies.

He also created and served as the program director for the Master of Science in Business Analytics (MSBA) program offered through eCornell, which provides working professionals a hands-on opportunity to learn about data analytics tools essential to analyzing and optimizing business decisions.

Gaur’s research focuses on data-driven analysis of problems in supply chains, retailing, e-commerce, and marketplace operations, and his work was recognized with the Wickham Skinner Early Career Research Accomplishments Award from the Production and Operations Management Society in 2006. He served as a department editor for Management Science during 2014-2021, and his current projects involve the reduction of food waste and supply chain risk. He teaches graduate courses in operations management, digital business and retail operations, and data analysis.

Gaur is the 2022 recipient of the Class of 1992 Apple Award for Excellence in Teaching, the 2020 recipient of the Stephen Russell Distinguished Teaching Award, and a three-time winner of the Johnson School’s Core Faculty Award, the Cornell-Tsinghua Dual Degree MBA Gravitas Award in 2021, the Johnson Cornell Tech Core Faculty Award by the graduating class of 2017, and honorable mention in the George B. Dantzig Dissertation Award Competition in 2001.

Well-known among students for the care and attention he gives to his teaching, he currently teaches the Semester in Strategic Operations MBA immersion course, where students go on site visits and work on client projects in topics such as industry 4.0, traceability, and sales and operations planning.

Before joining Johnson, he was an assistant professor at the NYU Stern School of Business from 2001 to 2007 and a visiting associate professor at Harvard Business School from 2007 to 2008.

Professor Shawn Mankad is an assistant professor of operations, technology, and information management at the Johnson Graduate School of Management, where his research focuses on the intersection between data analytics and economic decision making using machine learning techniques. His studies aim to create and apply data mining, machine learning, and visualization techniques for economic modeling with unstructured and complex structured data. His research has been featured in journals and over a dozen media outlets, including the Wall Street Journal and the Chicago Tribune. Prior to joining Johnson in 2015, Professor Mankad was an assistant professor in the Robert H. Smith School of Business at the University of Maryland. He was a consultant with the U.S. Commodity Futures Trading Commission and also worked at the Federal Reserve Board on characterizing market activity with visual analytic tools. His undergraduate degree is from Carnegie Mellon University, and he received his PhD in statistics from the University of Michigan.