People
Principal Investigator  ♦  Postdocs  ♦  PhD Students  ♦  MS Students  ♦  Undergrads  ♦  Alumni  ♦  Positions

Principal Investigator

Jesse Capecelatro, CV
Assistant Professor, Department of Mechanical Engineering

Education:
  • Ph.D., Mechanical & Aerospace Engineering, Cornell University, 2014
  • M.S., Mechanical & Aerospace Engineering, Cornell University, 2012
  • M.S., Mechanical Engineering, University of Colorado, 2011
  • B.S., Mechanical Engineering, SUNY Binghamton, 2009

    Contact:
    Office number: 2011 Automotive Lab
    Phone: (734) 936-2137
  • Bio-sketch:
    Jesse Capecelatro is an Assistant Professor in the Department of Mechanical Engineering at the University of Michigan. His research group develops numerical methods and data-driven approaches for the prediction and optimization of "messy turbulent flows" relevant to energy and the environment (often multiphase and reacting). His current research projects are focused on modeling compressible two-phase flows, adjoint-based methods applied to turbulent combustion, heat and mass transport in turbulent gas-solid flows, and dust deposition in gas turbine engines.

    Prior to joining Michigan in 2016, Dr. Capecelatro was a research scientist at the Center for Exascale Simulation of Plasma-coupled Combustion (XPACC) at the University of Illinois. He received a B.S. from SUNY Binghamton in 2009, a M.S. from the University of Colorado Boulder in 2011, and a Ph.D. from Cornell in 2014. He is a recipient of the National Science Foundation CAREER Award, Office of Naval Research Young Investigator Award, and the ASME Pi Tau Sigma Gold Medal Award.

    Postdoctoral Researchers

    Mehdi Khalloufi

    Education:
  • PhD in Computational Mechanics and Material Science, Mines ParisTech, France (2017)
  • MS in Material Science, Processing and Modeling, Mines ParisTech, France (2014)
  • MS in Applied Mathematics and Scientific Computing, University Paris 13, France (2011)

  • Research Focus: Multiphase flows, numerical methods, phase change

    Contact: mehdik@umich.edu


    Pedram Pakseresht

    Education:
  • Ph.D. in Mechanical Engineering, Oregon State University (2020)
  • M.S. in Mechanical Engineering, Shahid Chamran University of Ahvaz, Iran (2010)
  • B.S. in Mechanical Engineering, Azad University of Ahvaz, Iran (2007)

  • Research Focus: Particle-laden flows, turbulence, mathematical models

    Contact: pedrampa@umich.edu


    Abhilash Reddy Malipeddi
    Website

    Education:
  • Ph.D. in Mechanical and Aerospace Engineering, The George Washington University
  • M.Tech in Mechanical Engineering, Indian Institute of Technology Madras, India
  • B.Tech in Mechanical Engineering, Indian Institute of Technology Madras, India

  • Research Focus: Complex Fluids, Biological Fluid Dynamics, Rheology, Emulsions & Suspensions

    Contact: absh@umich.edu

    Doctoral Students

    Meet Patel

    Education:
  • M.S. in Aerospace Engineering, University of Michigan (2019)
  • B.S. in Mechanical Engineering, Gujarat Technological University (2017)

  • Research Focus: High-speed two-phase flows, liquid bridging in gas-solid flows

    Contact: meetm@umich.edu


    Archana Sridhar

    Education:
  • M.S. in Aerospace Engineering, University of Michigan (2021)
  • B.S. in Aerospace Engineering, R.V. College of Engineering (2019)

  • Research Focus: High-speed particle-laden flows, sensitivity analysis

    Contact: arsridha@umich.edu


    Jack Wakefield

    Education:
  • B.S. in Applied Math, Colorado School of Mines (2016)

  • Research Focus: PDEs, stochastic models, particle-laden flow

    Contact: jwake@umich.edu


    Max Herzog

    Education:
  • B.S. in Mechanical Engineering, Michigan State University (2020)

  • Research Focus: Particle-laden flows, stochastic methods, model order reduction

    Contact: maxzog@umich.edu


    Rebecca Grawe

    Education:
  • M.S. in Chemical Engineering, Brigham Young University (2016)
  • B.S. in Chemical Engineering, Brigham Young University (2013)

  • Research Focus: Multiphase flow, machine learning

    Contact: rgrawe@umich.edu

    Masters Students

    Undergraduate Students

    Alumni

    Postdocs
  • Dr. Aaron Lattanzi. Currently with Leidos.


  • PhD Students
  • Ali Kord. Graduation date: 01/2022. Thesis: Adjoint-Based Sensitivity and Optimization of Turbulent Reacting Flows (PDF). First employment: Research Scientist at Corning.
  • Gregory Shallcross. Graduation date: 08/2021. Thesis: Modeling Particle-Laden Compressible Flows with an Application to Plume-Surface Interactions (PDF). First employment: Contamination Control Engineer at Jet Propulsion Laboratory.
  • Sarah Beetham. Graduation date: 08/2021. Thesis: Turbulence Modeling of Strongly-Coupled Particle-Laden Flows (PDF). First employment: Assistant Professor at Oakland University.
  • Yuan Yao. Graduation date: 05/2021. Thesis: Transport and Deposition of Fine Particulates in Turbulence: Numerical Modeling and Uncertainty Quantification (PDF). First employment: Senior Research Specialist at Dow Chemical.


  • MS Students
  • Connor Boerman. Graduation date: 2022. First employment: Blue Origin (engine CFD team).
  • Qingquan (Megan) Wang. Graduation date: 2019. First employment: PhD student at University of Southern California.
  • Arun Ashok Rao. Graduation date: 2018. First employment: Convergence Science.
  • Lei Guo. Graduation date: 2018. First employment: PhD student at Hong Kong University of Science and Technology.


  • Undergraduate Students
  • Kalvin Monroe. Graduation date: 05/2021. First employment: PhD student at University of Colorado Boulder.

  • Positions

    To be eligible to join our lab, students must first be admitted into the Ph.D. program at the University of Michigan, typically in the graduate fields of Mechanical or Aerospace Engineering (though other fields will also be considered). Information on the Mechanical Engineering program can be found here.

    While interested candidates not yet admitted to the UM Ph.D. program are welcome to contact Prof. Capecelatro by email, note that an answer is unlikely due to the large number of sollicitations.