Responsibilities:

• Ensuring engineering structures, public assets as well as the railroad assets such as bridges and switches provide required level of service
• Collaborating with internal and external experts to plan required preventive and corrective interventions
• Developing strategies for inspection and maintain assets with close collaboration with internal and expertal experts
• Analysing the lastest condition of assets according to the inspection resutls and deterioration of assets over time
• Working with universities and consultants to exploit digitisation for improving railway asset management
• Coordinating the project Asset Database

Responsibilities:

• Collaboration with SBB on project STABILITY
• Supervising master’s and bachelor’s theses
• Organising and charing sessions in international conferences
• Assisting in teaching courses (Infrastructure Management I and III)
• Estimating railway assets intervention requirements using Stochastic modelling
• Assessing failure risks of railway assets using condition-dependent fault trees
• Optimal clustering of interventions using Mathematical optimisation

Responsibilities include:

• Preparing daily reports on status of cargo fleets
• Collaborating on project Smart Fleet Allocation
• Simulating the freight operations
• Failure analysis of cargo fleets

Responsibilities:

• Collaborating with RAI on project Cargo for Rail
• Evaluating management policies using discrete event simulation of freight operations
• Assessing safety using Statistical modelling
• Assessing sustainability of Oil’s supply chain using mathematical optimisation

Responsibilities:

• Evalvating the efficiency of the production line as a freelancer

Responsibilities:

• Collaborating with Electrical engineering department on conducting a feasibility study for producing an advanced welding machine production line as a freelancer
• Conducting cost-benefit analyses

Responsibilities:

• Mapping the processes

Responsibilities:

• Mapping the processes of operation line
• Conducting a time-study analysis to evaluate the performance of the production line