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Mario Malcangi

Università degli Studi di Milano

efunn

behavior’s onset

wearable systems

evos

car driver’s performance

vital signs

1

presentations

SHORT BIO

Prof. Mario Malcangi received his undergraduate and graduate degrees in Electronic Engineering and Computer Science from the Politecnico di Milano in 1981. He is member of the International Neural Network Society (INNS) and among the founders of the Engineering Applications of Neural Networks Special Interest Group (EANN-SIG) in the INNS. Hi is also member of the Task Force on Computational Audio Processing that is within the Technical Committes on Intelligent System Applications of the IEEE Computational Intelligence Society (CIS). His research is in the areas of multimedia communications, digital signal processing, digital audio and speech processing, audio-visual signal processing, bioelectric signal processing, and embedded/real-time systems. His research efforts are mainly targeted at speech- and audio-information processing, with special attention to applying soft-computing methodologies (neural networks and fuzzy logic) to speech synthesis, speech recognition, and speaker identification for implementation on deeply embedded systems. He teaches digital signal processing and digital audio processing at the Universita' degli Studi di Milano. He has published several papers on topics in digital audio, speech processing, bioelectric signal processing and deeply-embedded systems development.

Presentations

Personal Car Driver Black Box: a Wearable System for Data Log and Prediction Based on EVOS Paradigms

Mario Malcangi

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