34 research outputs in repository (as of 2025, per Scopus)
6 prizes awarded
47 academic activities participated
Teaches 3 courses
Supervised 6 theses (PhD and Master’s)
Consistent research output from 2021–2025, with 10 outputs each in 2024 and 2025
Background
Research interests include deep learning, combinatorial optimization, and integer programming
Focuses on the 'learning for optimization' field, exploring deep learning-based methods to solve integer programs and combinatorial optimization problems
Applications include vehicle routing, shop scheduling, airport ground handling, on-demand delivery with UAVs, train unit shunting, etc.
AI areas: Deep Reinforcement Learning, Graph Neural Networks, LLMs, VAEs & GANs
Operations Research areas: Heuristic Search, (Stochastic) Integer Programming, Multi-Objective Optimization