Monthly Talks

Monthly Talks

The Center plans to host Monthly Talks on selected topics by internal and external experts. The talks will be broadcast as a "live webinar", enabling our faculty members from across the country to participate. The talks will focus on topics of relevance to the mission and vision of the center.


Monthly Talk - March 2024

Brief Bio of Dr. Rajiv Gupta

Dr. Rajiv Gupta is an Adjunct Professor in the Work Integrated Learning Program at BITS Pilani. His principal areas of teaching interests are manufacturing systems, lean manufacturing, quality, and logistics and supply chain management. He is also involved in courses related to the application of lean manufacturing and quality in healthcare.

Dr. Gupta has been a full-time faculty member at the State University of New York at Buffalo, and the General Motors Institute in Flint Michigan. He has also taught as Adjunct Faculty at Kettering University (new name for General Motors Institute), and the University of Michigan at the Dearborn campus. In addition he has taught at the S.P. Jain Institute for Global Management in Dubai and Singapore, the FORE School of Management in Delhi and the School of Inspired Leadership (SOIL) in Gurgaon.  

Dr. Gupta has successfully run his consulting business as an International Associate of Tompkins Associates of Raleigh, North Carolina, as well as an independent consultant to automotive and other companies such as General Motors, Maruti, JK Tyres, Colgate, Anand group, Eicher, and Goetze.  He has also held the position of the Head of Automotive Operations and Solution Design at Mahindra Logistics.

Dr. Gupta holds a Ph.D. in Industrial Engineering from Purdue University, an M.S. in Industrial Engineering from North Carolina State University, and a B.Tech. in Mechanical Engineering from I.I.T. Delhi.  

Monthly Talk - January 2024


Spanda AI is a US based AI company that is doing groundbreaking work in the application of AI to various domains including higher education. The talk was on how Generative AI and Large Language Models can be effectively leveraged to improve the practice of teaching and learning in such areas as AI powered teaching assistants, automated grading of essays and assignments, chat bots for guiding students, personalized learning systems, customized learning materials, adaptive learning systems, etc.

Impact of Generative AI on Teaching and Learning-20240108 0932-1.mp4