Research themes:

Practical:

• AI engineering for enterprise and agentic designs

• Knowledge graphs, graph databases and RAG

• Data and finetuning LMs

• Practical solutions for IRP

• Practical pricing optimization B2B and B2C

Some on-going research themes:

• Algorithms for network pricing and pricing under ambiguity

• Network games and mediation

Some themes from past:

• Optimization for power systems planning

• Econometric models for Electric Vehicle future

• Data-driven robust optimization 

• Applied combinatorial optimization and integer programming