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jesus-333/README.md

Hi! I'm Alberto Zancanaro, a PhD candidate from the University of Padua

Contacs

codeSTACKr | YouTube codeSTACKr | Twitter codeSTACKr | LinkedIn codeSTACKr | Instagram codeSTACKr | codersrank


Currently working

  • 🧠 Deep Learning for EEG Analysis
  • 🌱 Artificial intelligence for greenhouses
  • 🌐 Age of Information (et similia) for network optimization

Past projects (University)

  • 🧠 Variational Autoencoder (VAE) applied to EEG classification (Post graduation research)
  • 🧠 CNN for EEG classification (Master's thesis)
  • 🧠 Machine learning applied to EEG classification (CSP and FBCSP algorithm) (Master's thesis)
  • 👋 Augmented reality in Unity with hand tracking
  • 👋 Pytorch hand tracking with Deep Learning
  • 💊 11C-PIB-tracer mathematical modelling (Bachelor's thesis)

Free-time projects

Pubblications

Click to expand!
  • [1] A. Zancanaro, G. Cisotto, J.R.Paulo, G. Pires, and U. J. Nunes, “CNN-based approaches for cross-subject classification in motor imagery:From the state-of-the-art to Dynamicnet,” in 2021 IEEE Conferenceon Computational Intelligence in Bioinformatics and ComputationalBiology (CIBCB), 2021, pp. 1–7
  • [2] A. Zancanaro, G. Cisotto, L. Badia, "Modeling Value of Information in Remote Sensing from Correlated Sources" in 2022 IEEE Mediterranean Communication and Computer Networking Conference (MedComNet)
  • [3] A. Zancanaro, G. Cisotto, L. Badia, "Challenges of the Age of Information Paradigm for Metrology in Cyberphysical Ecosystems" in 2022 IEEE Metrology for Living Environment (MetroLivEnv)
  • [4] A. Zancanaro, G. Cisotto, D. Tegegn, L. Badia, S. L. Manzoni, I. Reguzzoni, E. Lotti, I. Zoppis, "Variational Autoencoder for Early Stress Detection in Smart Agriculture: A Pilot Study" in 2022 IEEE Metrology for Agriculture and Forestry
  • [5] A. Zancanaro, G. Cisotto, S. L. Manzoni, I. Zoppis. "vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders". In: International Conference on Information and Communication Technologies for Ageing Well and e-Health
  • [6] A. Zancanaro, G. Cisotto, S. L. Manzoni, I. Zoppis, "vEEGNet: A new deep learning model to classify and generate EEG" in Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2023, Prague, Czech Republic, April 22-24, 2023 (Vol. 2023, pp. 245-252)
  • [7] G. Cisotto, A. Zancanaro, S. L. Manzoni, I. Zoppis, "HvEEGNet: A New Deep Learning Model for High-Fidelity EEG Reconstruction" (under review)

The full list is available on my Google Scholar profile.

Pinned Loading

  1. Unity-hand-tracking Unity-hand-tracking Public

    In this repository I will upload a personal project that use a combination of python script and C# script to create a Unity application with hand tracking and gesture recognition

    C# 53 13

  2. FBCSP-Python FBCSP-Python Public

    Python implemementation of the FBCSP algorithm

    Python 32 6

  3. CSP-Python CSP-Python Public

    Python implementation of the CSP algorithm

    Python 9 2

  4. Dynamic-PyTorch-Net Dynamic-PyTorch-Net Public

    Class to automatic create Convolutional Neural Network in PyTorch

    Python 13 2

  5. Hand-Tracking-Pytorch Hand-Tracking-Pytorch Public

    Hand tracking application developed in Pytorch

    Jupyter Notebook 22 7

  6. Fractals-Unity Fractals-Unity Public

    Project in Unity3D to create fractals. Made in C#

    C#