Daniele Grosso short biography

From Daniele Grosso
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Academic Biography | Daniele Grosso

Education

  • PhD in Physics (2005-2008), University of Genoa
    • Dissertation: "Algorithms and tools for image processing with applications in medical imaging"
  • Specialization in Medical Physics (2000-2004), University of Genoa
  • Teaching Qualification in Physics (2000), Italian Ministry of Education
  • MSc in Physics (1997), University of Genoa

Current Position

Contract Professor and Technologist (Physicist) at the Department of Physics, University of Genoa (2014-present)

Professional Experience

  • Contract Professor and Technologist (Physicist), Department of Physics, University of Genoa (2014-present)
  • Medical Physicist, IRCCS Burlo Garofolo, Trieste (2013-2014)
  • ICT Manager, Department of Physics, University of Genoa (2006-2013)
  • Physics and Computer Science Teacher, Secondary School (2000-2002)

Research Areas

  • Digital Health: AI/ML for medical imaging, predictive diagnostics, clinical NLP, healthcare data interoperability
  • Applied Physics: Superconducting sensors, TES detectors, superconductivity
  • Environmental Physics: Marine acoustic monitoring, marine species conservation (ARION, WhaleSafe projects)
  • Astrophysics: Detector development for space missions (LSPE, Athena/XIFU, HOLMES)
  • Science Education: Innovative methodologies for STEM teaching, educational robotics

Teaching

  • Contract Professor: Software Architecture of Embedded Systems (Mechanical Engineering)
  • Contract Professor: Physics with Laboratory (Electrical Engineering)
  • Lecturer: EPICT Master for teachers (international training)
  • Teaching Support: Electronics Laboratory, Experimental Physics, Computer Science

Selected Publications

Publications in peer-reviewed international journals, including:

  • Current-Dependent Resistance in TES Wiring Superimposed Nb Striplines (2024)
  • Structural and Morphological Characterization of Iridium and Ir/Au Films for Transition Edge Sensors (2024)
  • Automatic Passenger Counting on the Edge via Unsupervised Clustering (Sensors, 2023)
  • The large scale polarization explorer (LSPE) for CMB measurements (Journal of Cosmology and Astroparticle Physics, 2021)
  • An automated passive acoustic monitoring system for real time sperm whale threat prevention in the Mediterranean Sea (Applied Acoustics, 2021)
  • Real-Time Tele-Mentored Low Cost "Point-of-Care US" in the Hands of Paediatricians in the Emergency Department: Diagnostic Accuracy Compared to Expert Radiologists (PLoS ONE, 2016)
  • Standardised normal distribution analysis on SPECT datasets before and donepezil in Alzheimer's disease (NeuroImage, 2001)

Technical Skills

  • Modeling & Simulation: Numerical methods, Monte Carlo simulations, finite element analysis
  • Data Acquisition Systems: Signal processing, sensor integration, real-time monitoring
  • Data Analysis: Statistical methods, time series analysis, image processing
  • Scientific Computing: MATLAB, CERN ROOT, Geant4, SPSS, R
  • Programming Languages: C, C++, Python, LabVIEW
  • Embedded Systems: Arduino, Raspberry Pi
  • AI/ML Development: TensorFlow, PyTorch, Scikit-learn

Funded Projects

Participation in international and national projects with funding exceeding €3M (ARION, WhaleSafe, LSPE) and coordination of educational projects at the national level.

Professional Affiliations

  • INFN Associate (National Institute for Nuclear Physics)
  • AIF Regional Secretary (Italian Physics Teachers Association)
  • Member of Italian Society of Physics (SIF)

Languages

English (C1), Spanish (Good), French (Basic), Italian (Native)

My IDs

  • [ORCID 0000-0002-0699-3459]
  • ]Scopus Author ID: 56290680500]
  • [ResearcherID: R-4212-2016]
  • [SciProfiles: 2844101]

Links