Research

My research work has two main application domains:

Smart Grids:

I have worked on data-driven detection of failures of transmission lines, including the study of cascading failures, and how can different agents cooperate to mitigate them through optimization-based control. I am currently working on:

• NILM robustness: we are studying how different data characteristics affect the performance of load disaggregation optimization programs.
• Adversarial examples in transmission networks: I am interested in studying how these types of examples affect systems that support power grid operations.

Data Networks:

I am interested in monitoring large scale networks using new data-driven paradigms such as model driven telemetry. I am currently working on:

• Model driven Telemetry: we are studying the effect of high resolution monitoring data has on data center network operations.
• Data center management: we are designing systems to support the operation of a local data center, including overloading alarms and energy modeling.

Also, I lead a campus-wide initiative called PREC where we aim to design a system that generates Personalized Recommendations for Energy Consumption for ESPOL. This project includes several stages:

• Monitoring: we are designing tools to facility the interpretation of the energy consumption of 85 buildings.
• Recommendations: PREC will generate domain-expert rule-based recommendations along with RL-based automatic decisions.
• Follow-up: users will interact to address energy consumption challenges and vote on effective actions to improve recommendations.

If you are interested in any of the ideas I am working on, don’t hesitate to reach out.