My motivation stems from the desire to make research not just insightful but usable—deployed in the real world and integrated with the rhythms of daily operations. Whether working with policymakers or deploying edge intelligence in critical infrastructure, I seek to anchor advanced technological systems in utility, adaptability, and long-term value.

At the core of this drive is a belief that impactful technology should not only be smart but also inclusive, modular, and responsive to the ecosystem it inhabits.

As a curious and impact-driven Engineer and Researcher, my mission is to bridge the gap between emerging technologies and societal good through actionable research and interdisciplinary development. My work is rooted in the belief that technology transfer should not remain confined to labs or papers — but must translate into scalable systems that solve real problems.

My interests span sustainability, infrastructure, innovation policy, and AI-based forecasting. I am particularly passionate about enabling intelligent systems to support more resilient and inclusive communities — especially in regions facing environmental and developmental challenges.

This website is a living archive of my projects, collaborations, and reflections. It is part of a broader vision to make research more transparent, useful, and inspiring. By sharing my journey in science, innovation, and technology orchestration, I hope to contribute to a growing community of changemakers who believe that progress must be thoughtful, inclusive, and grounded in impact.

My research lies at the intersection of core engineering and management engineering. Broadly, I am interested in the design of digital information systems and their strategic use for technological adoption, governance innovation, and societal impact. My work combines system prototyping and quantitative foresight: building data-driven architectures for sensing and decision-making, while also using patent analytics and policy research to understand how these systems diffuse in complex socio-technical environments for business objectives.

Since my master's studies, I have engaged with the challenges of technological adoption in both organizational and public contexts. I began by applying formal decision-making methodologies such as SWARA to identify adoption barriers and used patent mining to analyze innovation trends that could overcome them. This blend of engineering insight and strategic framing has continually shaped my approach. During my doctoral research, I applied this perspective to the digitalization of the water distribution system in the commune of Ancona, Marche, Italy. The legacy system relied on manual, experience-based scheduling for water extraction and distribution—a process that was time-consuming and increasingly inadequate. To modernize the infrastructure and align it with sustainability goals, I designed an integrated architecture combining Supervisory Control and Data Acquisition (SCADA), Amazon Web Services (AWS), a two-step optimization pipeline, and deep learning-based forecasting. This architecture enabled remote monitoring and data-driven scheduling and was tested in a controlled environment by Viva Servizi, the utility company managing distribution.

This hands-on work with information systems exposed me to rapid prototyping tools such as Microsoft Power BI and other low-code platforms. These tools not only accelerated system development but also deepened my interest in their wider socio-technical implications, particularly for business and public sector applications. More recently, I have been exploring how these streams—technological forecasting, policy framing, and system implementation—can converge into a unified strategy perspective.