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Staff

Simone Maffei

Ph.D. candidate in Ingegneria Gestionale E Della Produzione , 42nd cycle (2026-2029)
Department of Management and Production Engineering (DIGEP)

Profile

PhD

Research topic

AI-driven adaptive virtual-human interaction: using real-time profiling and digital twins for personalized data representation

Tutors

Keywords

Digital twin methods and tools
Human-robot interaction and inclusive manufacturing

Biography

My academic background in Biomedical Engineering, including a Master’s degree specializing in Biomedical Instrumentation, has equipped me with a strong foundation in computational tool development and intelligent data processing. For my Master’s thesis, I designed an augmented reality (AR) navigation system for spinal surgery training using Microsoft HoloLens, Unity, Blender, C#, and Python. This project enabled me to develop advanced expertise in immersive technologies and real-time spatial tracking, directly aligning with the project’s focus on immersive virtual environments and interactive digital twins.
Furthermore, through my collaboration with the 3D-Lab research group in the DIGEP department, I gained hands-on experience applying artificial intelligence to image processing and predictive modeling, including Random Forest classifiers. This work led to the co-authorship of a scientific paper on automatic gesture recognition. My expertise in programming and data analysis aligns closely with the project’s technical requirements, particularly the development of real-time adaptation algorithms and extended artificial intelligence systems.
What motivates me most is the potential to move beyond static simulations toward responsive AR systems that dynamically adapt to user behavior and cognitive states. This vision closely aligns with the PhD project’s central objective: moving beyond a one-size-fits-all approach to develop adaptive human–virtual interaction systems in which data representation evolves dynamically with users and their operational context, particularly in safety-critical fields such as healthcare. I am especially motivated to evaluate these environments quantitatively through rigorous experimental methods and contribute to the development of transparent, safe, and reliable decision-support systems.

Publications

Latest publications View all publications in Porto@Iris