CV

PhD, Computer Science

• Thesis title: "Adapt and Automate: Efficiently Monitoring in the Cloud Continuum"
• Thesis advisor: Prof. Leonardo Mariani
• Final grade: excellent with honorable mention

M.Sc., Computer Science

• Thesis advisor: Prof. Leonardo Mariani
• Final grade: 110/110 cum laude

B.Sc., Computer Science

• Thesis advisor: Prof. Marco Palmonari
• Final grade: 110/110 cum laude

Postdoctoral Researcher

• I'm part of the High Performance Computing (HPC) Group lead by Prof. Ivona Brandić.
• My research focuses on the design and development of self-adaptive and energy-efficient software systems for the cloud continuum.

Visiting PhD Student

IT Consultant

• I provided consultancy services for the design and development of software systems in the food delivery domain, fashion industry, and e-commerce.

Research Scholarship Holder

• The research activity entitled aims to extend and enhance the main functionalities of the VARYS framework.
• VARYS is a technology agnostic model-driven Monitoring-as-a-Service framework for the Cloud.
• The research work was supervised by Prof. Leonardo Mariani.

Independent Researcher

• I worked on the design and optimization of DevOps software development cycles.

Research Assistant (Assegnista di Ricerca)

• The research activity was focused on designing approaches and techniques for application monitoring, anomaly detection and self-healing in Cloud Computing systems.
• The research work was carried out first the scope of the LEARN - Learning from Failing and Passing Executions at the Speed of Internet project (8 months) and next for the GAUSS - Governing Adaptive Unplanned Systems of Systems project (4 months).
• The research work was supervised by Prof. Leonardo Mariani.

Research Scholarship Holder

• The research activity involved cloud-native architectures for Open Educational Resources (OER) and integrations into Learning Management Systems (LMS).
• The research work was supervised by PRof. Daniela Micucci (University of Milano-Bicocca) and by the GARR Scientific and Technical Committee.
• In particular, I worked on the design and development of a new version of the WikiToLearn platform.
• WikiToLearn was a wiki-based open source project for collaborative textbooks writing under the KDE Community umbrella.

Full Stack Developer

• Design and development of web applications and CMS from scratch.

• Best Short-Paper Award @ 12th International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems

• Winner team (People's choice prize) @ HackTheCloud

• Winner team (2nd prize) @ HackTheCloud

• Winner team @ Hack.Developers

• ReProbe: An Architecture for Reconfigurable and Adaptive Probes | IEEE ICSA 2024, Hyderabad, India.

• An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge | IEEE/ACM ASE 2023, Luxemburg City, Luxemburg.
• Self-Adaptive Sustainable Systems at the Edge | AI/ML in the Era of Climate Change MS.C. course @ TU Wien, Vienna, Austria (Guest lecture).

• Towards Self-Adaptive Peer-To-Peer Monitoring for Fog Environments | IEEE/ACM SEAMS 2022, Pittsburg, USA (online).

• DFaaS: Decentralized Function-as-a-Service for Federated Edge Computing | IEEE CloudNet 2021, Cookeville, USA (online).

• Declarative Dashboard Generation | GAUSS Workshop (IEEE ISSRE 2020), Coimbra, Portugal (online).

• VARYS: A Technology Agnostic Model-Driven Monitoring-as-a-Service Framework for the Cloud | IEEE/ACM ESCE/FSE 2019, Tallin, Estonia.

• Automazione e monitoring: la cultura DevOps attraverso due casi di studio [Invited Talk] | Workshop GARR, Rome, Italy.