Short Bio

I hold a Master of Science (M.Sc.) in Artificial Intelligence from Sheffield Hallam University. 
I worked on human–robot interaction and trust estimation using multimodal emotion analysis. My research interests include social robotics, cognitive robotics, and trustworthy systems, I enjoy tackling complex technical challenges through robust and efficient code.
Currently a PhD student in the SWEET Project at Sheffield Hallam University, contributing to research to support robust deployment of AI-driven robotic applications across heterogeneous environments, combining software engineering principles with advanced techniques.

Topic

The goal of this project is to investigate and develop a software infrastructure that enables BOW-compatible applications to run seamlessly across multiple robot types, thereby fostering a more universal approach to robotics software development. We plan to enhance collaborative research efforts by investigating a cloud-native, low-latency communication framework, allowing for shared access to remote robots between research groups. Lastly, we will research and develop solutions for the multi-entity control of robots crucial to the deployment of multiple software systems competing for the same hardware resource. 

Host Institution:Sheffield Hallam University – Sheffield, United Kingdom

PhD Enrollment: Sheffield Hallam University

PI: Prof. Alessandro Di Nuovo