Positions

Research Areas research areas

Overview

  • 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.
  • Publications

    Academic Article

    Year Title
    2017 A New Phenomenon: Sub-Tg, Solid-State, Plasticity-Induced Bonding in Polymers.Scientific Reports.  7:46405. 2017
    2016 Enhancing the performance of the T-peel test for thin and flexible adhered laminates.Review of Scientific Instruments.  87:085111. 2016
    2015 Feasibility preserving constraint-handling strategies for real parameter evolutionary optimizationComputational Optimization and Applications.  62:851-890. 2015
    2015 Feasibility preserving constraint-handling strategies for real parameter evolutionary optimization.Comp. Opt. and Appl..  62:851-890. 2015
    2014 Damping Pressure Pulsations in a Wave-Powered Desalination SystemJournal of Offshore Mechanics and Arctic Engineering Journal of Energy Resources Technology, Transactions of the ASME.  136:021205-021205. 2014
    2014 Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithmsComputational Optimization and Applications.  57:761-794. 2014
    2013 Improving differential evolution through a unified approachJournal of Global Optimization.  55:771-799. 2013
    2011 Multi-objective optimisation and multi-criteria decision making in SLS using evolutionary approachesRapid Prototyping Journal.  17:458-478. 2011

    Book

    Year Title
    Molecular Mobility in Deforming Glasses: Theories and Applications

    Chapter

    Year Title
    2011 Multi-objective Optimisation and Multi-criteria Decision Making for FDM Using Evolutionary Approaches..  219-247. 2011

    Conference Proceeding

    Year Title
    2013 Boundary Handling Approaches in Particle Swarm OptimizationAdvances in Soft Computing. 287-+. 2013
    2013 Differential Evolution: Performances and Analyses2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC). 1960-1967. 2013
    2012 Evolutionary Approaches for Real World Applications in 21st CenturyPROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION COMPANION (GECCO'12). 43-48. 2012
    2010 Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms.GECCO. 55-62. 2010
    2010 Evolutionary multi-objective optimization and decision making for selective laser sintering.GECCO. 1259-1266. 2010
    2010 Improving Differential Evolution by Altering Steps in ECLecture Notes in Computer Science. 146-+. 2010
    2009 Comparison of archiving methods in multi-objectiveparticle swarm optimization (MOPSO): empirical study.GECCO. 1755-1756. 2009
    2009 DYNAMIC AND EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION FOR SENSOR SELECTION IN SENSOR NETWORKS FOR TARGET TRACKINGIJCCI 2009: PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE. 160-+. 2009
    2009 Empirical Comparison of MOPSO Methods - Guide Selection and Diversity Preservation2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5. 2516-+. 2009
    2009 Rapid prototyping using evolutionary approaches: part 1.GECCO (Companion). 2725-2728. 2009
    2009 Rapid prototyping using evolutionary approaches: part 2.GECCO (Companion). 2737-2740. 2009
    2009 Strategies for Sensor Selection in Monitoring Toxic Chemical Diffusion Scenarios.SNA. 7-12. 2009
    2008 Interplanetary trajectory optimization with swing-bys using evolutionary multi-objective optimization.GECCO (Companion). 1835-1838. 2008
    2008 Topology optimization of compliant mechanism using multi-objective particle swarm optimization.GECCO (Companion). 1831-1834. 2008
    2007 Interplanetary trajectory optimization with swing-bys using evolutionary multi-objective optimizationLecture Notes in Computer Science. 26-+. 2007

    Patents And Disclosures

    Year Title
    Layer processing for pharmaceuticals
    Plasticity Induced Bonding
    T-Peel Test Fixture

    Principal Investigator On

    Teaching Activities

  • Solid Mechanics Manufacturing Taught course 2019
  • Solid Mechanics Manufacturing Taught course 2019
  • Full Name

  • Nikhil Padhye