PhD candidates
Ongoing
- Srecko Durasinovic, Sparse polynomial optimization with applications in deep learning, with J.-B. Lasserre and J. Zhao, 2022-2026
Past
- Alexey Lazarev, Advanced data-driven techniques for the Lasserre hierarchy, with M. Korda and J.-B. Lasserre, 2021-2023. Now PhD candidate at Institut de Mathématiques de Toulouse
- Ngoc Anh Hoang Mai, Practical polynomial optimization through positivity certificates with and without denominators, with J.-B. Lasserre, 2019-2022. Now Postdoc at ENS Lyon
- Tong Chen, Polynomial optimization for certification of deep networks, with J.-B. Lasserre and E. Pauwels, 2020-2023. Now Postdoc at University of Copenhagen
- Vu Trung Hieu, Certified polynomial optimization based on exact sum of squares decompositions, with M. Safey El Din, 2020-2023. Now Postdoc at Norwegian University of Science and Technology
Postdocs
Ongoing
- Perla Azzi, Polynomial optimization for sensor location, 2024
- Jianting Yang, Polynomial optimization for binary neural networks analysis, 2023-2024
- Adrien Le-Franc, Fast polynomial optimization techniques for optimal power flow, 2022-2024
Past
- Gaël Masse, Polynomial optimization and upper bounds hierarchies for quantum information, 2023. Now Postdoc at LIP6
- Pierre-Emmanuel Emeriau, Fast polynomial optimization techniques for quantum information, 2021. Now research scientist at Quandela
- Philipp di Dio, Moment-sum-of-squares hierarchies for optimal transport and partial differential equations, 2021-2022. Now Zukunftskolleg research fellow at the University of Konstanz
- Rodolfo Rios-Zertuche, convergence rate of Lasserre's hierarchy, 2021-2022. Now Postdoc at the University of Tromsø
- Nicolas Augier, Quantum optimal control, 2021-2023. Now CNRS junior researcher at LAAS CNRS
- Abhishek Bhardwaj, Efficient noncommutative optimization, 2020-2021. Now Postdoc at the Australian National University
- Jie Wang, Certificates for sparse nonnegative polynomials, 2019-2021. Now associate researcher at AMSS-CAS