Education

  • Ph.D. Physics, Peking University, China, 07/2001
  • Ph.D. Aerospace Engineering, Texas A&M University, 12/2004

Professional Experience

  • Associate Professor, Department of Mechanical and Energy Engineering, IUPUI, 2017 – Current
  • Adjunct Research Associate Professor, Department of Surgery, Indiana University School of Medicine, 2017 – Current 
  • Assistant Professor, Department of Mechanical and Energy Engineering, IUPUI, 2011 – 2017
  • Adjunct Research Assistant Professor, Department of Surgery, Indiana University School of Medicine, 2014 – 2017
  • Keck Foundation Postdoctoral Fellow, Department of Mechanical Engineering, Johns Hopkins University, 2009 – 2011

Awards & Honors

  • CoPI, " Collaborative Research: Self-circulating, self-regulating microreactor for on-chip gas generation from liquid reactants", $196,848, 2013-2015, NSF , 3/2013
  • NSF CAREER Jump Start Award, Sep 2012 – Aug. 2013, $10,000, OVCR, IUPUI, 8/2012
  • PI, "GPU-LBM computation for aerodynamics of high-speed ground transportation vehicles", International Development Fund (IDF) Grant, $15,000, 2012, IUPUI , 1/2012
  • PI, "Lattice Boltzmann method for turbulent combustion", Research Support Funds Grant (RSFG), PI, $35,000, 2012, IUPUI, 1/2012

Selected Publications

  • Yu, Y. Zhao, and C. Lin. Unified Computational Method and System for in vivo Patient-Specific Hemodynamics, US Patent 10482215B2, Nov. 19, 2019
  • Chen, H. Yu, J. Zeng, and L. Zhu. General Power-law Temporal Scaling for Unequal Microbubble Coalescence, Physical Review E, 101(2020), 023106. PMID: 32168553
  • S An, Yu, Z. Wang, R. Chen, B. Kapadia, J. Yao. Unified Mesoscopic Modeling and GPU-accelerated Computational Method for Image-based Pore-scale Porous Media Flows, International Journal of Heat and Mass Transfer, 115(2017)1192-1202. DOI: https://doi.org/10.1016/j.ijheatmasstransfer.2017.08.099
  • An, H. Yu, and J. Yao. GPU-accelerated Volumetric Lattice Boltzmann Method for Porous Media Flow, Journal of Petroleum Science and Engineering, 156(2017)546-552. DOI: https://doi.org/10.1016/j.petrol.2017.06.031.
  • Chen, H. Yu, L. Zhu, T. Lee, and R. M. Patil. Spatial and Temporal Scaling of Unequal Microbubble Coalescence, The AIChE Journal, 63(4) (2017)1441-1450, 2017. DOI: https://doi.org/10.1002/aic.15504
  • Wang, Y. Zhao, A. P. Sawchuck, M. C. Dalsing, and H. Yu*. GPU Acceleration of Volumetric Lattice Boltzmann Method for Patient-specific Computational Hemodynamics, Computer & Fluids, 115(2015)192-200.DOI: 10.1016/j.compfluid.2015.04.004
  • Yu, X. Chen, Z. Wang, D. Deep, E. Lima, Y. Zhao, and S. D. Teague. Mass-conserved volumetric lattice Boltzmann method for complex flows with or without willfully moving boundaries, Physical Review E, 89 (2014) 063304. DOI: https://doi.org/10.1103/PhysRevE.89.063304
  • Yu, K. Kanov, E. Perlman, J. Graham, E. Frederix, R Burns, A. Szalay, G. Eyink and C. Meneveau. “Studying Lagrangian dynamics of turbulence using on-demand fluid particle tracking in a public turbulence database”, Journal of Turbulence, 13 (2012), 1-29. DOI: https://doi.org/10.1080/14685248.2012.674643.
  • Yu and C. Meneveau. “Lagrangian Refined Kolmogorov Similarity Hypothesis for Gradient Time-evolution in Turbulent Flows”, Physical Review Letters, 104 (2010), 084502. DOI: https://doi.org/10.1103/PhysRevLett.104.084502.
  • Yu, N. Li, and R. E Ecke. “Scaling in laminar natural convection in laterally heated cavities: Is turbulence essential in the classical scaling of heat transfer?” Physical Review E 77 (2007) 026303.
  • Yu, S. S. Girimaji, and L-S Luo. “DNS and LES of decaying homogeneous isotropic turbulence with and without system rotations using lattice Boltzmann method”, Journal of Computational Physics 209 (2005) 599-616. DOI: 10.1016/j.jcp.2005.03.022
  • Yu, L.-S. Luo, and S. S. Girimaji. “Scalar mixing and reaction simulations using lattice Boltzmann method”, International Journal of Computational Engineering Science 156 (2002) 1.
  • Yu and K. Zhao. “Rossby vortex simulation on paraboloidal coordinate system using Lattice Boltzmann method”, Physical Review E 64 (2001) 056703. DOI: https://doi.org/10.1103/PhysRevE.64.056703
  • Yu and K. Zhao. “Lattice Boltzmann method for compressible flows with high Mach number,Physical Review E 61 (2000) 3867. PMID: 11088166

Expertise

  • New Non-Invasive and Patient-Specific Hemodynamic indicators for Diagnostics and Therapeutics of Cardiovascular Diseases
  • Imaged Based Computational and Experimental Hemodynamics for Pulsatile Flows
  • GPU-Parallelized Lattice Boltzmann Method for DNS and LES of Turbulence
  • Micro-Bubble Coalescence and Detachment

Interests

  • Transitional Hemodynamics Research
  • Multiphase Flows in Microfluidics
  • Turbulence Modeling in Pulsatile Flows
  • Uncertainty Quantification in Computational and Experimental Hemodynamics