Jun Li, Assistant Professor, Department of Mechanical Engineering, UMass Dartmouth

Jun Li, PhD

Assistant Professor

Mechanical Engineering

508-999-8692

508-999-8881

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Violette Research 219


Education

2012 University of Illinois at Urbana-Champaign PhD in Mechanical Engineering
2009 University of Illinois at Urbana-Champaign MS, Mathematics & Theoretical & Applied Mechanics
2005 Shanghai Jiao Tong University BS in Mechanical Engineering

Teaching

  • Mechanics of Materials
  • Continuum Mechanics
  • Computational Mechanics

Research interests

  • Composite materials
  • Hierarchical materials and lightweight structures
  • Random heterogeneous materials
  • Inverse problems and optimization methods
  • Image-based multiscale modeling

Select publications

J. Li, K. Kwok and S. Pellegrino (2016).
Thermoviscoelastic models for polyethylene thin films
Mechanics of Time-Dependent Materials, 20, 13-43.

J. Li, A. Saharan, S. Koric and M. Ostoja-Starzewski (2012).
Elastic-plastic transition in 3D random materials: Massively parallel simulations, fractal morphogenesis and scaling functions
Philosophical Magazine, 92, 2733-2758.

J. Li and M. Ostoja-Starzewski (2009).
Fractal solids, product measures and fractional wave equations
Proceedings of Royal Society A, 465, 2521-2536.

Dr. Jun Li joined the Department of Mechanical Engineering at the University of Massachusetts Dartmouth as an assistant professor in September 2016. Before that, he worked as a R&D quality assurance manager at Dassault Systemes Simulia Corp. Prior to that, he was a postdoctoral scholar at the Graduate Aerospace Laboratories in the California Institute of Technology, working on NASA Super Pressure Balloon project. He obtained his Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign, where he also earned M.S. degrees in Mathematics and in Theoretical and Applied Mechanics. He completed his B.S. in Mechanical Engineering with a Minor in Mathematics from Shanghai Jiao Tong University. His research interest is to develop theoretical and computational methods combined with experiments for the assessment, design, optimization and manufacturing of novel materials and structures in various applications.

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