Dr. Riccardo Gezzi

• Machine learning methods applied to flow cytometry data and microscopy images to classify healthy and ill patients. • Time series analysis to predict sales volume and crop yield. • Fraud detection for the gambling sector

• Heuristic modelling of theoretical simulations and experimental data by means of artificial intelligence methods, for the research project "LeichtFahr“in cooperation with Fraunhofer Institut LBF Darmstadt. • Classification of products by means of statistical and artificial Intelligence techniques. • Led seminars concerning the mathematical background of machine learning methods.

• Application of statistical methods to assess the quality of hospitals and medical facilities (risk adjustment). • Processing and analysis of big data coming from health insurance by means of statistical techniques.

Development of novel approaches to study complex genotype-phenotype interactions in mental diseases.

In the role of Postdoctoral Scientist, I contributed to the development of a physical model whose scope was a medical application discerning between sound and ill human joints. Another relevant part of my activity was the data analysis of experimental measurements regarding the human gait by using statistics & artificial intelligence.

I contributed to develope a physical model whose scope was a medical application concerning the distinction between sound and ill human joints. Another part of my activity wass represented by the construction of a mathematical model to describe the knee joint behavior under load as theoretical justification behind the development of a total knee replacement (endoprosthesis). In my last project i wrote several programs for the data analysis of measurem

During the years spent at Institute for Theoretical Physics i contributed to extend the equations of the Functional Renormalization Group in Non-Equilibrium. Among the possible applications, we focused on the characterization of charge transport through quantum dots.

My activity at the Siemens Research Centre in Erlangen can be resumed in a scientific part regarding Electrical modelling of the O.L.E.Ds (Organic.Light. Emitting. Diodes.) based devices. Moreover, i had to take care of optimization and characterization of surfaces to the improvement of O.L.E.Ds performances

Postgraduate Researcher within the National Program for Microelectronics and Bioelectronics. Activity :Porose Silicon technique applied to microfabrication technologies Characterization and device modelling of L-DMOS Transistors In AC/DC for Radio-Frequecy applications