Sorin-Mihai Grad

Sorin-Mihai Grad is a Researcher at the Applied Mathematics Unit (UMA) of ENSTA Paris, Institut Polytechnique de Paris. His work spans optimization, control theory, and algorithm design, with a focus on nonconvex problems and stochastic methods.

• Fields of Interest: Optimization, Control Theory, Nonconvex Optimization, Stochastic Algorithms, Mathematical Programming.
• Scientific Awards:
  • Top 10 Romanian Scientists Abroad (2024)
  • CIAS Senior Research Fellowship (2022)
  • STAR-UBB Advanced Fellowship (2020)
• Publications: 15+ recent works on proximal point algorithms, inertial effects, quasiconvex functions, and stochastic mirror descent, with applications in logistics, tomography, and machine learning.
• Email: sorin-mihai.grad@ensta-paris.fr