Dr. Bhupesh Kumar Lad Ph.D. (IIT Delhi) Associate Professor Discipline of Mechanical Engineering IIT Indore
Contact Information: Discipline of Mechanical Engineering, School of Engineering, Indian Institute of Technology (IIT) Indore, Simrol, Indore, Pin Code: 453552, INDIA Academic POD-1B, Room No.-304 (Second floor) Phone: Office: +91-7324-306515, E-mail:[email protected]
Dr.Bhupesh Kumar Lad MechanicalEngineerDepartment
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Dr. Bhupesh Kumar
Lad is an Associate Professor in Discipline of
Mechanical Engineering at the Indian Institute of Technology Indore, India. He received
the Ph.D. degree in the area of Reliability Engineering from the Department of
Mechanical Engineering at the Indian Institute of Technology Delhi, India, in
2010. He is leading Industrial and Systems Engineering (ISE) research group at IIT Indore.
He worked with GE Global Research Center, Bangalore,
India as a Research Engineer from 2010 to 2011. He is also serving as Regional
Editor-South Asia, for the International Journal of
Performability Engineering (IJPE), USA. He is the
author of the book, Machine Tool Reliability, Scrivener-Wiley
Publishing, USA, 2016. He is investigator
of various research projects funded by national and international funding
agencies. His major research interest includes
smart manufacturing, reliability engineering, and prognostics.
Dr. Lad was a recipient of Newton-Bhabha grant of Royal Academy of
Engineering (RAE), London in 2016 and the Hamied-Cambridge Visiting Lecture Fellowship
of University of Cambridge, UK, in 2016.
1. A Generic Tool Condition Monitoring
(TCM) System: The group has developed a novel tool condition monitoring system
capable of embracing the critical problem of life prediction under time-variant
operating profiles witnessed in real-world production environments.
2. "Distributed" yet "Integrated" approaches: Recently
developed novel operations planning approaches utilize distributed intelligence
and communication capability of assets to dynamically optimize the operations
plans in industries for realizing “Smart Manufacturing” or “Industry 4.0”
benefits at their shop floors.
1. PhD position in the area of Smart Manufacturing (click here for details) (last date: May 15, 2018) 2. Postdoctoral position in the area of Prognostics and Cyber Physical System under National Post-Doctoral Fellowship Scheme (Click here for details). ...Interested and eligible candidates may directly contact the faculty at [email protected] (Last date: April 30, 2018)