Riccardo Emanuele Landi

Riccardo Emanuele Landi is a Doctoral researcher at the School of Computation, Information and Technology of the Technical University of Munich, where he works on computational models of emotion for improved machine learning. His investigation involves artificial empathy and computational cognition, with the aim of providing learning models with emotional intelligence and enhanced semantic processing. Current research interests include emotion-augmented machine learning, cognitive science, affective computing, computer vision, and natural language processing.

Research interests:

• Computational cognition
• Cognition-inspired and emotion-augmented machine learning
• Affective computing
• Deep learning for emotion recognition
• Computer vision
• Time series analysis
• Anomaly detection
• Natural language processing
  
   

Education:

• Computer Science and Engineering (M.Sc.), 2021 
  Politecnico di Milano, Italy
• Computer Engineering (B.Sc.), 2018
  University of Salerno, Italy

Teaching activities at TUM:

• Supervision of Master’s theses, Bachelor’s theses, and other research activities