Mr. Manish A. Khandare

Name: Mr. Manish A. Khandare
Designation: Assistant Professor
Qualification: B. E. (Civil Engineering), M. Tech. (Construction & Management), Ph. D (Pursuing)

  • Ph.D. (Pursuing: Civil Engineering), COEP, SPPU, Pune, India.
  • M. Tech (Construction & Management), COEP, SPPU, Pune, India, 2012.
  • B. E. (Civil Engineering), Government College of Engineering, Amravati, India, 2007.
Overview of Profile:

He is an Assistant Professor in the Department of Civil Engineering. His research is in the area of Construction Management. He is having 06 years of Teaching experience.

Fore Front Area of Research: : Construction Management

Email id:
Contact020-27185857 Ext:
Experience :Teaching, Industry and Research: 06 Yrs.

Awards and Achievements

  • National Merit Scholarship during Higher Secondary Education-1986-88
  • Best research paper Awarded for ‘Sustainability Impact Assessment of Developmental Programs undertaken by Mining Industries as part of the corporate social responsibility for Value Creation’.
  • Certificate of Merit for completing course on Proposal Writing and Research Writing.
  • Certificate of Achievement - Google for Education.


  • A Review of Genetic Algorithm used for Optimizing Scheduling of Resource Constraint Construction Projects, IRJET, Volume 4, Issue 5.
  • Exploratory Study of Causes and Effects of Delay in Indian Residential Projects, IRJET, Volume 4, Issue 6.
  • Empirical Study on Causes and Effects of Delay in Residential Projects in India, IJSER, Volume 5, Issue 6.
  • Identifying the Causes and Effects of Delay in Residential Projects, IRJET , Volume 4, Issue 4.
  • Delay Analysis in Industrial Projects by Using Relative Importance Index Method, IJESC, Volume 7, Issue 6.
  • Practical Investigation of Factors Affecting Selection of Dispute Resolution Methods in Construction Projects: A Survey, IJIRSET, Volume 6, Issue 1.
  • Analyzing Project Scope Definition Completeness by using PDRI for an Infrastructure Project, IJESRT, Volume 6, Issue 7.
  • Project Duration Forecasting using Earned Value Method and Time Series, IJEIT, Volume 1, Issue 4.