Nikhil Padhye

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

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.

Education

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

Research Interests

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

Courses Taught

  • 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