Research Interests:
- NeuroAI
- Brain-Inspired Deep Learning
- Connectome-Constrained Neural Metworks
- Reservoir Computing and Efficient Neural Networks
- Dynamic and Conditional Computation in Deep Learning
Background
- BSc in Computer Science
- MSc in Machine Learning
- PhD Student in NeuroAI and Brain-Inspired Deep Learning
Short Bio
Andrea Terlizzi is a PhD student at the University of Salerno and a member of the NeuroneLab since 2023, having initially joined as a research assistant during his MSc. His research focuses on NeuroAI, developing brain-inspired deep learning models, connectome-constrained neural networks, reservoir computing, and dynamic or conditional computation approaches for biologically informed artificial intelligence.