About Babul

A research enthusiast who completed his Ph.D. with a fully funded scholarship at the School of ICT, University of Calabria (Italy), and University College Dublin (Ireland). He holds an M.Sc. in Information Engineering from Huzhou University, China, and a B.Sc. in Computer Science and Engineering from City University, Bangladesh. He has experience in both academia and industry, having worked as a lecturer and later as a data scientist in China, with research at the core of his interests. His constant passion for learning and sharing knowledge helps him maintain a strong technical background, and he always enjoys immersing himself in new ideas and innovations. In the broad area of research interest is in the domains of TinyML, Applied DL Edge AI, Digital Twins, Smart Buildings, and Smart Agriculture.

In his PhD, he worked on two real-world projects. The first, based in Italy, focused on smart building occupancy and indoor temperature prediction, including multi-step forecasting with Tiny AI models under resource constraints. The second, in Ireland, involved soil moisture forecasting for smart agriculture using Tiny AI models. Both projects rely on diverse real datasets. In particular, he worked with a real-time smart building HVAC dataset from AEI Energia and the ICAR CNR Smart Laboratory. For more details about the Smart Building project, you may visit the project details: Dataset, Code, and Papers. Secondly, he also worked on the ISON Project at University College Dublin (UCD), Ireland, which involves Smart Agriculture Systems. You could visit the link below for more details of the project: Dataset and Project Description. During his Ph.D., his tutors were: Dr. Antonio Guerrieri, Raffaele Gravina, Declan Delaney and Giancarlo Fortino.

🎓 PhD Thesis Title: "AI Driven Predictive Approaches in Smart Environments: From Smart Buildings to Smart Agriculture"