BIOGRAPHY

I work at Aarhus University, Depatment of Civil and Architectural Engineering (CAE), since November 2018 as associate professor of "Statistics in CAE", "Machine Learning in CAE", "Reliability, Risk and Resilience for the built environment". I graduated as PhD in Civil and Environmental Engineering, at the University of Messina, 2006, defending the thesis “Computational Methods in Structural Reliability and Stochastic Mechanics”. I was postdoctoral researcher at the University of Messina from 2006 to 2008, University of California at Berkeley from September 2008 to May 2009, National University of Singapore from 2013 to 2015, Nanyang Technological University from 2015 to 2017, and Berkeley Education Alliance for Research in Singapore from 2017 to 2018. From 2010 to 2012, I worked as a Structural Engineer in Italy, De Cola associati.

I work in the broad area of Computational Intelligence (CI) and Cyber-Physical Systems (CPS), by developing tools and methods of Artificial Intelligence (AI), Machine Learning (ML), Quantum Mechanics (QM), Performance Based Engineering (PBE), Uncertainty Quantification (UQ) and Risk Analysis, Decision Support Tool (DST) for academia and industry for more than 20 years. I have been involved in research projects focused on risk analysis of offshore systems, risk management of resilient transportation networks, sustainable and resilient design of smart buildings/infrastructures. Within these areas, I have lectured classes since 2003, and I have published over 60 papers in high-ranking scientific journals and international conference proceedings.

I have introduced the Risk Digital Twin (RDT) for design and management under uncertainty of smart buildings and infrastructures up to urban communities. The tools of the RDT are going to be deployed inside the opensource computational platform OpenAIUQ. It was conceptualized and deployed in office building at CREATE, Singapore, during the program SINgapore BERkeley Building Energy efficiency and Sustainability in the Tropics (SINBERBEST, 2015-2022), while in Aarhus I have developed the python version of OpenAIUQ.

My current research interests focus on on the development of Quantum Physics AI (QPAI) aimed at sustainable and resilient urban communities; including the Quantum Physics Digital Twin (QPDT). The digital model is going to be deployed within the opensource software QSTAR (Q*), build on the top of OpenAIUQ.