A part of our FEEUNI team, Prof. Jelena Nikolić, Prof. Milan Dinčić, Prof. Aleksandra Jovanović, Prof. Dejan Ćirić, Prof. Tatjana Nikolić, Asst. Prof. Goran Nikolić, Teaching Assistant Nikola Vučić, and Junior Researcher Sofija Perić, visited the University of Ferrara (UNIFE) for short-term training as part of the AIDA4Edge Project activities.

This visit featured expert lectures from UNIFE and guest lectures from the FEEUNI team, covering key topics in deep learning, quantization, and AI hardware architectures.

UNIFE Lectures:

🔹 Prof. Riccardo Zese

– Introduction to Neural Networks and Multi-Layer Perceptron

– Introduction to Convolutional Neural Networks

 – Recurrent Neural Networks

🔹 PhD Alice Bizzarri

 – Notable Applications of Convolutional Neural Networks

 – Introduction to the PyTorch and TensorFlow Frameworks with Practical Session on implementation of Neural Networks

– Practical session on Convolutional Neural Networks

– Video Management and Generative Models

– Practical Session on Autoencoders

🔹 Francesca Zucchini

– Project Management and Grant/Consortium Agreement Preparation

FEEUNI Guest Lectures:

🔹 Prof. Jelena Nikolić – Fundamentals of Quantization

🔹 Prof. Tatjana Nikolić – Microprocessors in the AI Era: Evolution, Trends, and Challenges

🔹 Prof. Aleksandra Jovanović – Real to Integer Conversion Based on Uniform Quantization – Part I

🔹 Prof. Milan Dinčić – Real to Integer Conversion Based on Uniform Quantization – Part II

🔹 Junior Researcher Sofija Perić – Analysis of 3-bit PoT and INT3 Quantizers in the Wide Variance Range

🔹 Teaching Assistant Nikola Vučić – Golomb-Rice Coding for Floating-Point Format with 8 bits

🔹 Prof. Dejan Ćirić – Acoustic Classification of Vehicle Fuel Types: Supervised and Unsupervised Approaches

This visit provided a valuable opportunity for expanding knowledge in AI, machine learning, and quantization techniques, while also strengthening the collaboration between the FEEUNI and UNIFE teams.