Influence of particle surface roughness on inter-particle forces
Particle surface roughness is linked with the inter-particle forces that are governing cohesion phenomena at powder level such as flowability, a key element in the processability in many industries such as pharma, food and even manufacturing.
Bayesian Data-Driven in computational medicine
Nowadays, in-silico precise medicine aims to provide real-time decision-making tools to predict and prevent disease and reliable model respect to data available. To meet such challenges, the research project will investigate bayesian data-assimilation.
Data-Driven of spatio-temporal model of COVID-19
This research project aims to integrate the data available of COVID-19 outbreak with partial differential Spatio-temporal model.
Electromagnetic tracking via Deep Learning
The goal of this project is to work on a new magnetic tracking system that combines our expertise in machine learning, haptics, and electromagnetic actuators. The outcome will be incorporated as one of the building blocks of a larger system we are working on that is oriented towards VR/AR haptics.
Computational Haptics
We research wearable and tool-based haptics systems, from hardware, computational design using optimization, and the user experience. Several master projects are open in this area in our group.
3D Hand Pose and Shape from Images
We provide several projects on 3D hand pose/shape estimation and reconstruction from images. If you are a research-oriented student and are interested in work in this area, you can contact me and we can work together on formulating your thesis topic. You can also bring your own ideas.
Automated identification of two-dimensional crystals based on optical contrast difference
The goal of this project is to develop an automated setup that is able to identify flakes of different thicknesses on Si/SiO2 substrates by analyzing the difference in optical contrast between the crystals and the substrate.

Powered by  SiROP - the academic career network