Skip to Content

Weather update: The Columbia campus will have a delayed opening until 10 am tomorrow, Jan. 18. This applies to all offices. Classes scheduled to begin before 10 am are canceled. Classes scheduled to begin at or after 10 am will take place as scheduled. See for updates See for updates.

College of Engineering and Computing

Faculty and Staff

Yi Wang

Title: Associate Professor
Department: Mechanical Engineering
College of Engineering and Computing
Phone: 803-777-2252
Fax: 803-777-0106
Office: 300 Main Street 
Room A216
Columbia, SC, 29208

Curriculum Vitae  




Dr. Wang's research interests include Computational and data-enabled science and engineering (CDS&E) and its applications in multiphysics and multiscale systems engineering, including aerospace, microfluidics/nanofluidics, thermal and energy management, additive manufacturing, intelligence, surveillance, and reconnaissance (ISR), among others. The specific focuses are (1) physics-based adaptive modeling, from high-fidelity multiphysics CFD/FEM analysis to reduced order modeling and closed-form modeling for real-time simulation, trade space exploration, and process control; (2) data-driven multi-fidelity surrogate modeling for multidisciplinary analysis and optimization, large-scale system-level simulation, and adaptive model integration; (3) massive and real-time data analytics, discovery, and management, including engineering data mining, parameter estimation, uncertainty quantification, machine learning, and green computing & visualization; and (4) systems engineering of microfluidics/nanofluidics, including model development, system design, control synthesis, hardware development, and experimentation, with the long-term goal towards cyber-physical systems (CPS) and engineering intelligence


  • Ph.D., Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, 2005
  • M.S., Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2000
  • B.S., Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China, 1998


  • Associate Professor, Mechanical Engineering, University of South Carolina, 2017-Present
  • Director, Biomedical and Energy Technologies, CFD Research Corporation, 2014-2017
  • Manager, Biomedical and Energy Technologies, CFD Research Corporation, 2011-2014
  • Group Leader, Biomedical and Energy Technologies, CFD Research Corporation, 2009-2011
  • Senior Engineer, Biomedical and Energy Technologies, CFD Research Corporation, 2007-2009
  • Engineer, Biomedical and Energy Technologies, CFD Research Corporation, 2005-2007

Selected Publications

  •  J. Zhu, Y. Wang, K. Pant, P.M. Suh,  M.J. Brenner, "Genetic Algorithm-based Model Order Reduction of Aeroservoelastic Systems with Consistent States", Journal of Aircraft, Vol. 54, pp. 1443-1453, 2017
  • H. Song, J. Rosano, Y. Wang,   C.J. Garson, B. Prabhakarpandian, K. Pant, G.J. Klarmann, A. Perantoni, L.M. Alvarez, and E. Lai, "Identification of Mesenchymal Stem Cell Differentiation State Using Dual-micropore Microfluidic Impedance Flow Cytometry", Analytical Methods, Vol. 8, pp. 7437-7444, 2016. (Cover Story)
  • J. Qian, Y. Wang, H. Song, K. Pant, H. Peabody, J. Ku, and C.D. Butler, "Projection-Based Reduced Order Modeling for Spacecraft Thermal Analysis", Journal of Spacecraft and Rockets, Vol. 52, pp. 978-989, 2015.
  • H. Song, J. Rosano, Yi Wang, et al., “Continuous-Flow Sorting of Stem Cells and Differentiation Products based on Dielectrophoresis", Lab on Chip, 15, Vol. 5, pp. 1320-1328, 2015.
  • Yi Wang, J. Qian, H. Song, K. Pant, HQ Yang, X. Li, M.J. Grismer, J.A. Camberos, F. Fahroo, "Feature Extraction from Massive, Dynamic Computational Data based on Proper Orthogonal Decomposition and Feature Mining", Journal of Visualization, Vol. 17, pp. 363-372, 2014
  • Y. Wang, H. Song, K. Pant, "A reduced-order model for whole-chip thermal analysis of microfluidic lab-on-a-chip systems", Microfluidics and Nanofluidics, Vol. 16, pp. 369-380, 2014.
  • H. Song, Y. Wang, J. M. Rosano, B Prabhakarpandian, C. Garson, K. Pant, and E. Lai, "A microfluidic impedance flow cytometer for identification of differentiation state of stem cells", Lab on Chip, Vol. 13, pp. 2300-2310, 2013.