Sicheng He

Sicheng He is an Assistant Professor in the Department of Mechanical, Aerospace and Biomedical Engineering at the University of Tennessee, Knoxville since August 2023. He previously held postdoctoral research positions at MIT (2022-2023) and the University of Michigan, Ann Arbor (2020-2021), where he focused on computational aeroelasticity and multidisciplinary design optimization (MDO).

• Education:
  • PhD in Aerospace Engineering (2020), University of Michigan, Ann Arbor
  • MS in Applied Math (2015), University of Michigan, Ann Arbor
  • MSE in Aerospace Engineering (2015), University of Michigan, Ann Arbor
  • BSE in Aerospace Engineering (2013) and Mechanical Engineering (2013), Joint Institute, Shanghai Jiao Tong University

Research Interests: Sicheng He specializes in optimization techniques for large-scale dynamical systems, with emphasis on PDE-constrained optimization, mixed integer programming, and machine learning-based surrogate models. His work includes applications in wind energy systems, aircraft design (particularly transonic buffet analysis), and stability-constrained optimization frameworks.

Publication Trends: His research output focuses on computational physics and optimization, with recurring themes in aerospace engineering, wind energy, and multidisciplinary design. Key methodologies include algorithmic differentiation, time-spectral solvers, and gradient-enhanced neural networks for aerodynamic shape optimization.

Awards:

• Best student paper in MDO, 2nd place, AIAA Aviation Conference 2019

Professional Involvement: Active in AIAA and ICAO CAEP Working Group 3. Developed educational workshops on figure visualization and Git version control at MIT. Serves as reviewer for journals including AIAA Journal, Structural and Multidisciplinary Optimization, and International Journal for Numerical Methods in Fluids.