I am an interdisciplinary scientist with a PhD in Computer Science, focusing on AI-powered cyber-physical systems. After graduating from University of Kentucky under Dr. Silvestri's supervision, I am transitioning to a postdoc position at University of Wisconsin-Madison in the Animal Science Department led by Dr. Dorea to work on applications of AI to optimize farm management decisions and improve animal nutrition and health. I have provided my computer science expertise and knowledge in several heterogenous domains in interdisciplinary environments, thus collaborating with electrical engineers, psychological scientists, and animal scientists.
In the last few years, we witnessed the revolution of the Internet of Things (IoT) paradigm and the consequent growth of Cyber-Physical Systems (CPSs). IoT devices include a plethora of smart interconnected sensors that have the ability to sense physical phenomena occurring in an environment and provide copious amounts of heterogeneous data about the functioning of a system. As a consequence, the large amounts of generated data represent an opportunity to adopt artificial intelligence and machine learning techniques that can be used to make informed decisions aimed at the optimization of such systems, thus enabling a variety of services and applications across multiple domains. We propose CPSs for animal science and for smart grids. In the former, we detect diseases in dairy calves, and recognize gaits in horses. In the latter, we propose an auction-theory-based CPS for smart grids designed for peak load reduction.