Nikhil Padhye

Phone: (603) 862-2772
Office: Mechanical Engineering, Kingsbury Hall, Durham, NH 03824
Nikhil Padhye

Nikhil Padhye obtained his PhD from the Department of Mechanical Engineering at the Massachusetts Institute of Technology in 2015, Cambridge, MA, and Bachelor's-Master's (dual degree) in Mechanical Engineering from the Indian Institute of Technology Kanpur (2005-2010). He also completed his postdoctoral training at Stanford University and University of California Berkeley. His research interests include computational mechanics of solids, finite element modeling, optimization and polymer mechanics.


  • D, Massachusetts Institute of Technology
  • B., Indian Institutes of Technology

Research Interests

  • Computational Mechanics
  • Continuum Mechanics
  • Manufacturing (Mechanical Engineering)

Courses Taught

  • 627: Dynamics
  • 696: Projects
  • 785/885: Solid Mechanics Manufacturing
  • 797: Honors Seminar
  • 992: Master's Project
  • 999: Doctoral Research
  • ME 627: Dynamics
  • ME 785/885: Solid Mechanics Manufacturing
  • ME 999: Doctoral Research

Selected Publications

Padhye, N., Parks, D. M., Trout, B. L., & Slocum, A. H. (2017). A New Phenomenon: Sub-T-g, Solid-State, Plasticity-Induced Bonding in Polymers. SCIENTIFIC REPORTS, 7. doi:10.1038/srep46405

Padhye, N., Parks, D. M., Slocum, A. H., & Trout, B. L. (2016). Enhancing the performance of the T-peel test for thin and flexible adhered laminates. REVIEW OF SCIENTIFIC INSTRUMENTS, 87(8). doi:10.1063/1.4960172

Padhye, N., Mittal, P., & Deb, K. (2015). Feasibility preserving constraint-handling strategies for real parameter evolutionary optimization. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 62(3), 851-890. doi:10.1007/s10589-015-9752-6

Padhye, N., Mittal, P., & Deb, K. (2015). Feasibility preserving constraint-handling strategies for real parameter evolutionary optimization.. Comput. Optim. Appl., 62, 851-890. doi:10.1007/s10589-015-9752-6

Hopkins, B. J., Padhye, N., Greenlee, A., Torres, J., Thomas, L., Ljubicic, D. M., . . . Slocum, A. H. (2014). Damping Pressure Pulsations in a Wave-Powered Desalination System. JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 136(2). doi:10.1115/1.4026635

Deb, K., & Padhye, N. (2014). Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithms. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 57(3), 761-794. doi:10.1007/s10589-013-9605-0

Padhye, N., Bhardawaj, P., & Deb, K. (2013). Improving differential evolution through a unified approach. JOURNAL OF GLOBAL OPTIMIZATION, 55(4), 771-799. doi:10.1007/s10898-012-9897-0

Padhye, N., Deb, K., & Mittal, P. (2013). Boundary Handling Approaches in Particle Swarm Optimization. In PROCEEDINGS OF SEVENTH INTERNATIONAL CONFERENCE ON BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS (BIC-TA 2012), VOL 1 Vol. 201 (pp. 287-+). doi:10.1007/978-81-322-1038-2_25

Padhye, N., & Deb, K. (2011). Multi-objective optimisation and multi-criteria decision making in SLS using evolutionary approaches. RAPID PROTOTYPING JOURNAL, 17(6), 458-478. doi:10.1108/13552541111184198

Padhye, N., Branke, J., Mostaghim, S., & IEEE. (2009). Empirical Comparison of MOPSO Methods - Guide Selection and Diversity Preservation. In 2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5 (pp. 2516-+). doi:10.1109/CEC.2009.4983257

Most Cited Publications