Dr. Jennifer Johrendt

Dr. J. Johrendt

Associate Dean of Student Affairs, WINONE
Associate Professor
 

Education

  • Ph.D. (2005) Mechanical Engineering, University of Windsor
  • M.Sc.Engineering (1994), Mathematics and Engineering, Queen’s University
  • B.Sc.(Hons.) (1992), Mathematics and Engineering, Queen’s University

Research Interests

  • Vehicle dynamics simulation for durability, ride and handling
  • Neural network characterization of material properties and processing parameters with applications of composite materials
  • Composites design for vehicle lightweighting
  • Engineering education
  • Driver modelling and simulations

Professional Affiliations

  • Professional Engineers Ontario (PEO)
  • Society of Automotive Engineers (SAE)
  • Canadian Engineering Education Association (CEEA)
  • American Society for Engineering Education (ASEE)
  • American Society of Mechanical Engineers (ASME)

Selected Publications

  • Honickman, Hart, N; Johrendt, Jennifer, L; Frise, Peter, R (2014) On the Torsional Stiffness of Thick Laminated Plates, Journal of Composite Materials, 48(21), pp. 2639 - 2655, first published online September 2013.
     
  • Honickman, Hart, N; Johrendt, Jennifer, L; Glover, Andrew; Valentine, Andy (2013) A Novel System of Parametric Analytical Modeling Techniques for Transversely Loaded FRP Structural Members of Variable Material Properties and Cross-Sectional Geometry, Journal of Composite Materials, 47(28), 3543-3563.
     
  • An, K; Green, DE; Johrendt, JL (2010) Multi-objective optimization and sensitivity analysis of tube hydroforming simulations, International Journal of Advanced Manufacturing Technology, 50(1), 67-84.
     
  • Chisholm, Colin, U; Harris, Margaret, SG; Northwood, Derek, O; Johrendt, Jennifer, L (2009) The Characterisation of Work-Based Learning by Consideration of the Theories of Experiential Learning, European Journal of Education, 44(3, Part I), 319-337.
  • Johrendt, Jennifer, L; Frise, Peter, R; Malik, Mohammed, A (2008) Streamlining automotive product development using neural networks, International Journal of Vehicle Design, 47(1/2/3/4), 19-36.

Website