Alessio Russo
Scholar

Alessio Russo

Google Scholar ID: hsqzAkQAAAAJ
Boston University
Reinforcement LearningSequential LearningAdaptive ControlData Driven Control
Citations & Impact
All-time
Citations
336
 
H-index
9
 
i10-index
6
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • Awarded the NCCR Research Fellowship 2025; Recognized as a NeurIPS 2025 Top Reviewer (Top 10%); Several papers accepted at conferences such as NeurIPS 2025, NY-RL workshop @ NY-RL 2025, EXAIT workshop @ ICML 2025.
Research Experience
  • Currently a Postdoctoral Researcher at Boston University.
Education
  • Ph.D. in Electrical Engineering from KTH Royal Institute of Technology (Stockholm), supervised by Prof. Alexandre Proutiere; Postdoctoral Researcher at Boston University, advised by Prof. Aldo Pacchiano.
Background
  • Research interests include reinforcement learning and control methodology, particularly in statistical learning, sequential decision making, robust control, and robust reinforcement learning. The goal is to uncover the building blocks of adaptive algorithms and translate theoretical insights into reliable algorithms with practical impact.