Daniel Kuhn

EPFL CDM MTE-GE
ODY 3 18 (Odyssea)
Station 5
CH-1015 Lausanne

EPFL CDM MTEI RAO
ODY 1 01.2 (Odyssea)
Station 5
CH-1015 Lausanne

Web site: Web site: https://www.epfl.ch/labs/rao/

EPFL AVP-PGE EDMT-ENS
ODY 1 17 (Odyssea)
Station 5
CH-1015 Lausanne

EPFL CDM MTE-GE
ODY 1 01.2 (Odyssea)
Station 5
CH-1015 Lausanne

EPFL AVP-E CDS
BP 1133 (Bâtiment BP)
Station 16
CH-1015 Lausanne

Web site: Web site: https://dms.epfl.ch/DOCS/E/CDS

EPFL CDM-DIR
ODY 2 04 (Odyssea)
Station 5
CH-1015 Lausanne

Web site: Web site: https://www.epfl.ch/schools/cdm/

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Administrative data

Fields of expertise

- Decision-making under uncertainty 
- Stochastic programming and robust optimization 
- Data-driven optimization 

Publications

Infoscience publications

Teaching & PhD

Teaching

Management of Technology

PhD Programs

Doctoral Program in Technology Management

Doctoral Program in Electrical Engineering

Courses

Convex optimization

This course introduces the theory and application of modern convex optimization from an engineering perspective.

Optimal decision making

Fundamental techniques covered in this course include linear, discrete and nonlinear optimization. The underlying theory is motivated through concrete examples across several application areas such as project management, portfolio selection, production planning, revenue management, transportation, etc. We will use MATLAB to model and solve practical decision problems.

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