Recent Posts

Postdoctoral position in Energy Systems Planning We are seeking a Postdoctoral researcher in Optimisation under Uncertainty for Energy …

The discipline of mathematical optimisation has recently reached the spotlight in the analytics revolution. This is perhaps in part due …

Research

Current topics and research group

Current research topics

Energy systems optimisation

Applications of optimisation under uncertainty techniques to represent the evolution of energy systems and devise policy and decision making support to foster the adoption of low-carbon energy production. Some problems include:

  • Infrastucture expansion planning under uncertainty
  • Scenario generation and uncertainty representation
  • Efficient methods for market equilibrium problem

Inventory control using stochastic programming

Combining traditional inventory control theory with the flexibility of stochastic programming we are able to address more general settings. Some ideas we have been exploring:

  • Modelling of alternative control policies
  • Incorporating aspect such as perishability, leasd times, pooling effects, etc.
  • Development of decomposition methods

Emergency response, humanitarian logistics and healthcare planning

Investigating how we can use operations research to ultimately save lives. Challenges include:

  • Pre-location of emergency response supplies
  • Distribution of bednets to fight Malaria
  • Drug inventory routing
  • Blood units/ platelets inventory management

Research group

Members

Recent & Upcoming Talks

More Talks

Multi-stage decision problems under uncertainty can be represented as influence diagrams consisting of decision, chance and value nodes …

Traditional methods for solving inventory control problems have their roots in tools such as queueing theory and dynamic programming. …

Mixed-integer quadratically constrained quadratic program- ming (MIQCQP) is a general class related to several impor- tant problems …

Recent Publications

More Publications

(2019). Two-stage stochastic programming approach for the medical drug inventory routing problem under uncertainty. Computers & Industrial Engineering.

PDF DOI

(2019). A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems. Mathematical Programming.

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(2019). A practical assessment of risk-averse approaches in production lot-sizing problems. International Journal of Production Research.

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(2019). An enhanced L-Shaped method for optimizing periodic-review inventory control problems modeled via two-stage stochastic programming. European Journal of Operational Research.

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(2019). Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming. Journal of Global Optimization.

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Contact

  • Otakaari 1 Y219, Aalto University, FI-00760, Finland
  • Thursday 13:00 to 14:00
    Please email beforehand to book an appointment (firstname.lastname@aalto.fi)