Huidan (Whitney) Yu

Huidan (Whitney) Yu

Professor of Mechanical Engineering, Purdue University Indianapolis

Professor of Mechanical Engineering (by courtesy), School of Mechanical Engineering, Purdue University West Lafayette

SL 260
723 W. Michigan St.
Indianapolis, IN 46202
yu597@purdue.edu
Phone: 765-495-7752

Degrees

  • Ph.D. Aerospace Engineering, Texas A&M University
  • Ph.D. Physics, Peking University, China
  • B.S. Physics, Zhejiang Normal University, China

Research Interests

  • Image-based computational and experimental fluid dynamics for porous-media and biomedical flows
  • Translational research integrating high-performance CFD, image-based and physics-informed machine-learning, and uncertainty quantification to address unmet clinical needs
  • GPU-parallelized lattice Boltzmann method for DNS and LES of turbulence
  • Micro-bubble coalescence and detachment in microfluidics

Fundamental Research Area(s)

Application Area(s)

Biography

  • Professor of Mechanical Engineering, Purdue University in Indianapolis, 2024 – Current

  • Adjunct Research Professor, Department of Surgery, Indiana University School of Medicine, 2024 – Current 

  • Associate Professor, Department of Mechanical and Energy Engineering, IUPUI, 2017 – 2024

  • Adjunct Research Associate Professor, Department of Surgery, Indiana University School of Medicine, 2017 – 2024

  • 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

  • Postdoctoral Research Associate, Los Alamos National Laboratory, Feb. 2006 – Feb. 2009

    • Awards and Recognitions

    • Winner of Disease Diagnostics INventors Challenge competition, Indiana CTSI (Clinical and Translational Sciences Institute), 2019
    • Best poster award in The 2017 IEEE Central Indiana section’s Engineering Conference, entitled “InVascular: Filling the Gap between Non-invasive and Patient-specific Diagnose/Assessment and Cardiovascular Diseases/Surgeries”, 2017
    • IU Health Vice President (Cardiovascular Service Line Executive) Research Award for developing minimally invasive surgical techniques for the innovation and advance of heart transplantation, 2016
    • EMPOWER Award, Office of the Vice Chancellor for Research, IUPUI, 2014
    • NSF CAREER Jump Start Award, Office of the Vice Chancellor for Research, IUPUI, 2012
    • Excellent Ph. D. Student Prize, Peking University, China, 1999
    • The Seventh Youth Scientific Paper Competition – The Second Prize, Peking University, China. 1999.
    • Scientific Paper Competition – The Third Prize, Education Committee of Zhejiang Province, China. 1999

    Selected Publications

  • H. Yu, M. Khan, H. Wu, X. Du, R. Chen, D. M. Rollins, X. Fang, J. Long, C. Xu, M. Murphy, R. L. Motaganahallie, and A. P. Sawchuk. A new noninvasive and patient-specific hemodynamic index for assessing the severity of renal arterial stenosis, Int. J. Num. Meth. Biomed. Eng., 38(7), e3611(2022).

  • A. P. Sawchuk, W. Hong, J. Talamantes, MD M. Islam, X. Luo, and H Yu, The Predictive Ability of the Renal Resistive Index and its Relationship to Duplex Ultrasound Waveform Propagation in the Aorta and Renal Arteries, Ann. Vasc. Surg., Apr 22: S0890-5096(22)00202-3.

  • H. Yu, M. Khan, H. Wu, C. Zhang, X. Du, R. Chen, X. Fang, J. Long, and A. P. Sawchuk, Inlet and Outlet Boundary Conditions in Volumetric Lattice Boltzmann Method for Patient-specific Computational Hemodynamics in Aortorenal Arterial System, Fluids, 7(1), 30 (2022).

  • X. Zhang, J Gomez-Paz, J. M. McDonough, Md M. Islam, Y. Andreopoulos, and H. Yu, Volumetric Lattice Boltzmann Method for Wall Stresses of Image-based Pulsatile Flows, Scientific Reports, 12(2022), 1697 (2022).

  • P. Sawchuk, H. Yu, J. Talamantes, W. Hong, D. Rollins, and R. Motaganahalli, A Deep Dive into the Meaning of the Renal Resistive Index, its Limited Correlation With Renal Function, and a Theoretical Way Forward to Improve its Usefulness, J. Vascu. Surg., 74(4)(2021), e381–e382.

  • J. Gomez, H. Yu, and Y. Andreopoulos, The role of flow reversals in transition to turbulence and relaminarization of pulsatile flows, J. Fluid Mech, 917(6)(2021), A27.

  • R. Chen, S. Zhou, L. Zhu, L. Zhu, W. Yan, and H. Yu, Numerical and experimental study for 3D coalescence-induced detachment of microbubble, Physics of Fluids, 917(2021) 043320.

  • S. Abootorabi, A.Tripathi, H. Yu, and L. P. Dávila. Computational Modeling of Intraocular Drug Delivery Supplied by Porous Implants, Biomechanics and Modeling in Mechanobiology, Drug Deliver. Transl. Res.,11(2021) 2134–2143. PMID: 33432523.

  • H. Yu, Non-invasive Functional Assessment Technique for Determining Hemodynamics Severity of an Arterial Stenosis, U.S. Patent App. No. 17007459, August 31, 2020, Pub No. US 2022/0067922 U.S., 2022, being issued.

  • R. 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

  • H. Yu, Y. Zhao, and C. Lin. Unified Computational Method and System for in vivo Patient-Specific Hemodynamics, US Patent 10482215B2, Nov. 19, 2019

  • S. An, H. 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, Inter. J. Heat Mass Trans., 115(2017)1192-1202.

  • R. 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.

  • Z. 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.

  • H. 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.

  • H. 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.

  • H. Yu and C. Meneveau. “Lagrangian Refined Kolmogorov Similarity Hypothesis for Gradient Time-evolution in Turbulent Flows”, Physical Review Letters, 104 (2010), 084502.