Dr. Makrand Wagale is an Assistant Professor in the School of Civil Engineering, MIT World Peace University, Pune. He received his B.E. in Civil Engineering from Walchand College of Engineering, Sangli, M.E. and Ph.D in (Transportation Engineering) from Birla Institute of Technology and Science, Pilani. His areas of expertise include Transportation Planning, Public Transportation, Rural Road Assessment and Design, Artificial Intelligence, Soft-computing, Computational Intelligence and Augmented Reality Applications for Civil Engineering Design, and Transportation Safety. He has published research papers in several international journals and conferences. He is an active reviewer of various journals of international repute such as Journal of Traffic and Transportation Engineering, Transporation reserach board. He is proficient in softwares like HDM-4, VISSIM, MX ROAD, GIS and computing tools like SPPS, R-Programming. He has combined experience of more than 3 years in teaching and industry. He has also worked as road safety auditor for Bikaner to Phalodi section of NH-15 for 4 laning from km 4.200 to 55.250 and 2 laning with paved shoulder from km 55.250 to 163.500 in the state of Rajasthan, India.
Ph.D. (Transportation Engineering)
M.E. (Transportation Engineering)
B.E. (Civil Engineering)
Transportation Engineering I,
Transportation Engineering II,
Transportation Planning and Management
Teaching experience: 1 year
Industry experience: 2.5 years
Research experience: 5 years
Research Paper 1:
Singh A. P., Wagale M., Dhadse, K., Singh A. “Socioeconomic impacts of low-volume
roads using a GIS-based multidimensional impact assessment approach”. Environment,
Development and Sustainability. 2021, 1-26.
Research Paper 2:
Tirth V., Wagale M., Singh A. P., Sarkar A.K. Singh R. K., Algahtani A., Islam, S.
“Exploring Negative Impacts of Rural Roads Using Fuzzy Multicriteria Approach”. Journal
of Civil Engineering and Management. 2021, 27(6): 441-453.
Research Paper 3:
Wagale M., Singh A. P., Sarkar A. K. “Socio-economic impacts of Low-volume roads
using mixed-method approach of PCA and Fuzzy-TOPSIS”. International Review for
Spatial Planning and Sustainable Development. 2021, 9(2): 112-133