Dr. Mandar Sapre

Bio

Mandar S Sapre holds a Ph.D. in the Application of Optimization Techniques in Mesh Smoothing from the Faculty of Mechanical Engineering at Symbiosis International (Deemed University). He received his Master of Technology in CAD/CAM from Symbiosis Institute of Technology and his Bachelor of Engineering in Production Engineering from Mumbai University. Mandar was an Assistant Professor at Symbiosis Institute of Technology for eleven years. Before that, he taught Mathematics at Career Forum Ltd. for six years. Currently, he is working as a Research Assistant Professor at the Institute of Artificial Intelligence, MIT World Peace University, starting in December 2024. His research interests include Engineering Mathematics, Finite Element Analysis, Numerical Methods, Optimization Techniques, Machine Learning, Cohort Intelligence, Hybrid Metaheuristics, Operation Research, Application Development, and Programming. He has 22 publications in peer-reviewed journals, conferences, and chapters. He has so far guided 10 masters and over 90 UG students. He is a regular reviewer of different Elsevier journals. Mandar has also served as session chair for a few international conferences. Apart from academics, Mandar enjoys reading novels and listening to and singing Indian music. He loves to travel and experience different cultures.

Research Areas

Mathematics, Finite Element Analysis, Optimization, Application Development, and Machine Learning

Publications

1. Singh, A., Dutta, S., Agrawal, G., Sapre, M.S., Kulkarni, A.J. (2024): A machine learning approach to predict demand-to-capacity ratio for reinforced concrete jacketing of columns in seismic-deficient buildings, Journal of Building Pathology and Rehabilitation, (In Press)

2. Kale, I. R., Sapre, M. S., Khedkar, A., Dhamankar, K., Anand, A., & Singh, A.(2024). Hybrid ACO-CI algorithm for beam design problems. SN Computer Science, 5(3), 282.

3. Dwivedi, K., Joshi, S., Nair, R., Sapre, M. S., & Jatti, V. (2024). Optimizing 3D printed diamond lattice structure and investigating the influence of process parameters on their mechanical integrity using nature-inspired machine learning algorithms. Materials Today Communications, 38, 108233.

4. Sapre, M., Kale, I.R. (2024) A brief review of bilevel optimization techniques and their applications, In: Kulkarni, A.J., Gandomi, A.H. (eds) Handbook of Formal Optimization. Springer, Singapore.

5. Nair, R., Joshi, S., Dwivedi, K., Sapre, M. S., & Jatti, A. V. (2024). Optimizing Friction Stir Spot Welded ABS Weld Strength Using JAYA and Cohort Intelligence Algorithm. In Sustainable Materials (pp. 99-120). CRC Press.

6. Potnis, M. S., Singh, A., Jatti, V. S., Sapre, M. S., Pathak, S., Joshi, S., & Jatti, A. V. (2023). Part quality investigation in fused deposition modelling using machine learning classifiers. International Journal on Interactive Design and Manufacturing (IJIDeM), 1-25.

7. Mishra, A., Potnis, M. S., Sapre, M. S., & Jatti, V. S. (2023). Fracture analysis of friction stir spot welded acrylonitrile butadiene styrene sheet in butt configuration. Materials Research Express, 10(5), 055302.

8. Kale, I.R., Khedkar, A., Sapre, M.S. (2023). Truss Structure Optimization Using Constrained Version of Variations of Cohort Intelligence. In: Kale, I.R., Sadollah, A. (eds) Optimization Methods for Structural Engineering. Engineering Optimization: Methods and Applications. Springer, Singapore.

9. Sapre, M. S., Kulkarni, A. J., Kale, I. R., & Pande, M. S. (2023). Application of Cohort Intelligence Algorithm for Numerical Integration. In Intelligent Systems and Applications (pp. 445-453). Springer, Singapore."

Google Scholar link : https://scholar.google.com/citations?hl=en&user=Yu3ywsAAAAAJ

Scopus link : https://www.scopus.com/authid/detail.uri?authorId=55848375100

ORCID link : https://orcid.org/my-orcid?orcid=0009-0008-1992-3186