Fernando Gargiulo

Eplun is an ecosystem of services to manage an aggregate of distributed energy resources, such as Li-ion static batteries, photovoltaic modules, dispatchable loads, charging outlets for EVs, and more.

The core algorithm leverages the flexibility of these resources that can be geographically separated from one another to build a virtual power plant that can provide demand response service, thus releasing the electric system under stressful circumstances.

Its added value is its high degree of dynamicity and timeliness in calculating the optimal control strategy.

I co-invented the algorithm, devised the architecture of the services and how they interact with a pre-existing set of IoT cloud services in charge of managing the edge devices. I was also the main developer in the initial stages and subsequently managed a team of two other developers.

AiiDA is an open-source Python infrastructure to help researchers with automating, managing, persisting, sharing, and reproducing the complex workflows associated with modern computational science and all associated data.

I developed its REST API, helped build the testing platform, and contributed to its design.

Materials Cloud is a web portal built to enable the seamless sharing and dissemination of resources in computational materials science, offering educational, research, and archiving tools, simulation software and services, and curated and raw data to empower data-based discovery.

I helped elaborate on the original vision of the platform, develop its back end, and the containerized deployment on OpenStack facilities.