Risk Analytics and Optimization Chair – RAO

Daniel Kuhn, Risk Analytics & Optimization Chair (RAO), EPFL

A broad spectrum of very diverse resource allocation and decision problems arising in 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. are naturally formulated as mathematical optimization problems. Most if not all of these optimization problems share the following key attributes.

  1. High dimensionality.
    Decision makers typically need to orchestrate thousands of degrees of freedom that are subject to complex interdependencies and restrictions.
  2. Data uncertainty.
    Many problem parameters are subject to substantial measurement errors or are simply unknown at the time when the optimization problem is formulated.
  3. Dynamic nature.
    The information available to decision makers changes over time – often in unpredictable ways – which necessitates a chain of recourse actions and rebalancing decisions that are difficult to plan in advance.

Decision problems with these complicating features are often far beyond the reach of analytical methods or classical numerical techniques plagued by the notorious curse of dimensionality. The aim of our research is to develop rigorous new modeling paradigms for large-scale dynamic decision problems under uncertainty, to design efficient and reliable algorithms for their solution and to distil managerial insights and policy implications for innovative applications in energy systems engineering and management.


Tutorial by Daniel Kuhn at the INFORMS Annual Meeting in Seattle

— Daniel Kuhn delivered a tutorial on Wasserstein Distributionally Robust Optimization and Machine Learning at the INFORMS Annual Meeting in Seattle, October 20-23, 2019.

Congratulations to Dr. Viet Anh Nguyen for obtaining his PhD

— Dr. Viet Anh Nguyen obtained his PhD in September 2019. His dissertation, supervised by Prof. Daniel Kuhn, is entitled "Adversarial Analytics".

Daniel Kuhn gave a plenary talk at EUROPT 2019

— Daniel Kuhn was invited to give a plenary talk at the 17th Workshop on Advances in Continuous Optimization (EUROPT 2019).

Daniel Kuhn gave a plenary talk at ORSIS 2019

— Daniel Kuhn was invited to deliver the Naor plenary Lecture at the annual meeting of the Operations Research Society of Israel (ORSIS), which was held in Shfayim, May 13-14 2019.

Daniel Kuhn gave a plenary talk at the PGMO Days 2018

— Daniel Kuhn was invited to give a plenary talk on data-driven distributionally robust optimization with applications in finance, uncertainty quantification and machine learning.

Viet Anh Nguyen wins the 2018 George Nicholson Award

— Viet Anh Nguyen, PhD student at the Risk Analytics and Optimization Chair, received the 2018 George Nicholson Student Paper award at the INFORMS annual meeting in Phoenix.

“If you don't pay attention to your students, you'll lose them”

— Professor Kuhn, holder of the Chair in Risk Analytics and Optimization, has been named best teacher in the Management of technology section.

Welcome to all new EDMT doctoral students!

— The doctoral program in Management of Technology (EDMT) is very pleased to welcome eight new PhD students who joined the program on September 15, 2018.

Professorship at NUS for Dr. Napat Rujeerapaiboon

— In August 2018 Napat Rujeerapaiboon has taken up an appointment as Assistant Professor in the Department of Industrial Systems Engineering & Management at the National University of Singapore (NUS).

Daniel Kuhn gave a plenary talk at ECCO XXXI

— The 31st Conference of the European Chapter on Combinatorial Optimization (ECCO) was held at the University of Fribourg in June 2018.

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