My research trajectory began with a focus on immersive visual analytics and virtual reality (VR) to help engineers, designers, and technicians visualize and navigate highly complex, multidimensional data in turbomachinery design. Over time, I transitioned from purely visualizing machine data to investigating how digital twinning (DT) can facilitate more natural interactions between humans and industrial environments. This evolution led me to my current focus on human-oriented cyber-physical systems, where I explore the seamless integration of human cognition with robotic and digital infrastructure. To address the bottleneck of manual modeling, I am now also leveraging Generative AI and neural rendering techniques, such as Gaussian Splatting, to automate and accelerate 3D content creation for these complex systems. By lowering the barrier to high-fidelity asset generation, I aim to create truly responsive environments where digital information is instantly accessible and intuitive for the human operator.  

Broadly speaking, my research concerns human-oriented cyber-physical systems and human augmentation technologies (e.g. XR interfaces, exoskeletons, and other wearables) applied in various industrial and medical contexts. In particular, I am interested in multi-agent systems where humans, robots (collaborative, industrial, and medical), and AI agents work side-by-side to safely and effectively achieve their goals.