“PitchD, The PhD’s pitch" with Gianluca Amprimo, Lorenzo Martini and Deborah Volpe

For the cycle of "PitchD, The PhD’s pitch", this new session will feature the following speakers:

Gianluca Amprimo - Department of Automation and Control Engineering (DAUIN) of Politecnico di Torino
- Title: Video-based, AI-powered systems for telemonitoring and telerehabilitation in Parkinson’s disease
Deep learning enables remote monitoring of Parkinson’s disease using human pose estimation from video, reducing clinical visits and tracking symptom progression. It also supports interactive rehabilitation through exergames. This talk explores its applications and future directions.

Lorenzo Martini - Department of Automation and Control Engineering (DAUIN) of Politecnico di Torino
-Title: Investigating heterogeneity in neuronal excitability states through Patch-seq data
We explore excitability diversity in inhibitory neurons through Patch-seq, combining electrophysiology, RNA sequencing, and morphology to identify correlations between molecular signatures and electrophysiological profiles, revealing pathways that influence neural network function.

Deborah Volpe - Department of Electronics and Telecommunications (DET) of Politecnico di Torino
- Title: Quantum-related approaches for solving optimization problems
Engineering quantum computing for optimization involves multiple degrees of freedom and abstraction levels. This research aims to enhance quantum-compliant optimization by improving existing solvers, developing quantum-inspired approaches, and formulating quantum solutions for real-world optimization problems.