• Professor, Chemical Engineering
  • George Armistead ’23 Faculty Fellow
  • Affiliated Faculty, Industrial & Systems Engineering and Materials Science & Engineering
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Qingsheng Wang

Educational Background

  • Ph.D., Chemical Engineering, Texas A&M University – 2010
  • M.S., Physical Chemistry, Zhejiang University – 2005
  • B.S., Chemistry, Zhejiang University – 2003

Research Interests

    • Fire and explosion process safety
    • Flame retardant polymers
    • Nanocomposite manufacturing
    • Oil spill response
    • Machine learning for big data

Awards & Honors

  • Featured Article and Cover Page, Physics of Fluids – 2021
  • Global Innovation Contest Award, LG Chem – 2020
  • Editors’ Choice Article Award, American Chemical Society (ACS) – 2020
  • Inaugural Holder, Dale F. Janes Endowed Professorship – 2015-2018
  • Who’s Who in America – 2015

Selected Publications

  • R. Ma, M. Zeng, D. Huang, Q. Wang, “Zwitterionic graphene quantum dots to stabilize Pickering emulsions for controlled-release applications”, ACS Applied Materials & Interfaces, 2022, 14 (5), 7486-7492.
  • P. Hu, Z. Jiao, Z. Zhang, Q. Wang, “Development of solubility prediction models with ensemble learning”, Industrial & Engineering Chemistry Research, 2021, 60 (30), 11627–11635.
  • R. Ma, M. Zeng, D. Huang, J. Wang, Z. Cheng, Q. Wang, “Amphiphilicity-adaptable graphene quantum dots to stabilize pH-responsive Pickering emulsions at a very low concentration”, Journal of Colloid and Interface Science, 2021, 601, 106–113.
  • H. Xu, Z. Jiao, Z. Zhang, M. Huffman, Q. Wang, “Prediction of methane hydrate formation conditions in salt water using machine learning algorithms”, Computers & Chemical Engineering, 2021, 151, 107358.
  • Z. Jiao, P. Hu, H. Xu, Q. Wang, “Machine learning and deep learning in chemical health and safety: A systematic review of techniques and applications”, ACS Chemical Health & Safety, 2020, 27 (6), 316–334.
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