Daniel Kuhn
Scholar

Daniel Kuhn

Google Scholar ID: RqnXytkAAAAJ
Professor of Operations Research, EPFL
stochastic programmingrobust optimizationdata-driven optimization
Citations & Impact
All-time
Citations
9,670
 
H-index
40
 
i10-index
87
 
Publications
20
 
Co-authors
24
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • EPFL Doctorate Award - 2025 - Bahar Taskesen
  • Daniel Kuhn plenary speaker at the AMASES Conference 2025
  • Dr. Yifan Hu appointed Assistant Professor at Rutgers University
  • Mengmeng Li wins second place in the Best Student Paper Prize at ICSP
  • Daniel Kuhn elected EUROPT Fellow 2025
  • Philipp Schneider wins 2025 Web Conference Best Paper Award
Research Experience
  • Focused on the research of large-scale dynamic decision problems, with innovative applications in energy systems engineering and management.
Background
  • Research interests include a broad spectrum of resource allocation and decision problems, particularly in areas such as public infrastructure investment planning, power systems operation, supply chain management, production planning, fleet management, traffic planning, network design, economics, risk management, health care, project management, telecommunications, cloud computing, process control, etc. These problems are characterized by high dimensionality, data uncertainty, and dynamic nature.