Ph.D., Civil Engineering
M.Phil., Applied Mathematics
M.S., Civil Engineering
B.S., Civil Engineering
Indian Institute of Technology
297 Jacobs Hall
VU Mailbox: PMB 351831, Nashville, TN 37235-1831 USA
Professor of the Practice of Civil Engineering
Director of Graduate Studies in Construction Management
- Repair, Rehabilitation, and Renewal of Underground Infrastructure:
Due to their low visibility, rehabilitation of underground pipelines is frequently neglected until a catastrophic failure occurs. Professor Gokhale's research focuses on the testing and assessment of minimally invasive technologies for pipeline condition assessment, repair, and rehabilitation.
- Infrastructure Management:
Traditional rehabilitation methods for underground infrastructure often focus on initial construction cost, rather than consideration of life-cycle costs. Prof. Gokhale has also made significant contributions in the development of a framework for a multi-attribute model that addresses the various objectives in underground infrastructure asset management, through a life-cycle cost approach. The model provides the basis for a decision-making for asset managers in short-term and long-term infrastructure maintenance and rehabilitation planning within the budgetary constraints.
- Cost and Schedule Control for Large-cap EPC Projects:
From automotive industry to process industries and from information technology to e-commerce, today's businesses rely on first-to-market product strategies to gain competitive advantage. In these instances, Owners are often focused on fast track project delivery systems that achieve schedule compression. However, a large number of projects from renovation to new construction and regulatory compliance to facility upgrades continue to be cost-driven. Prof. Gokhale's research is looking to develop a Decision Tool to assist the project team in evaluating and executing projects that are cost-driven. In defining the cost-schedule trade-offs, the tool will model all of the variables in a capital project execution plan that influence the cost versus schedule decisions.
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