The research activity achieved innovative results in different aspects of techniques and systems for intelligent signal and image processing; with the main focus on theoretical aspects, methodologies, technologies, and applications in the contexts of industrial, environmental and biometric applications.

Original adaptive methods (mostly based on deep learnin, artificial neural networks, statistical approaches, and knowledge extraction techniques) permitted to obtain efficient and optimized solutions in intelligent systems for information processing. In this field, he mostly focused on machine learning approaches for designing robust artificial neural networks, and on data analysis methods based on fuzzy logic.

The high robustness of the realized adaptive methods permitted to considerably reduce the operational and environmental constraints, guaranteeing high accuracy at the same time. The research performed in this field permitted to obtain relevant improvements of the human-machine interaction in the context of industrial applications, as well as in biometric recognition systems. In particular, he realized biometric recognition methods able to sensibly reduce the operational constraints with respect to the state of the art, and innovative techniques for the privacy protection of biometric data (based on cryptographic algorithms). These methods can increase the usability and acceptability of the systems in a relevant manner, without decreasing the recognition accuracy, thus representing enabling technologies for high-security applications and ambient intelligence scenarios.

Furthermore, he applied the obtained results to realize innovative solutions for the industrial and environmental monitoring, also in the context of projects financed by the European Commission.

Computational intelligence techniques, architectures, and applications

The research activity regarded computational intelligence methods, with particular attention to the artificial neural networks. In this context, he analyzed different approaches from the theoretical, architectural and applicative points of view, realizing innovative methods for identification, classification, control, prediction, and multidimensional signal processing.

In particular, the realized innovative methods have permitted to create advanced industrial applications for monitoring production processes, environmental control, and quality evaluation.

Biometric systems

The research activity regarded the realization of innovative methods and algorithms for biometric systems applied for verification and identification, considering physiological as well as behavioral traits. He realized original methods for multidimensional signal processing and computational intelligence techniques for touchless biometric systems based on three-dimensional models. He considered the following biometric traits: fingerprint, iris, face, cardiac signals, voice, and soft-biometric traits (e.g., height, weight, and age). He also proposed innovative methods for protecting the privacy of biometric data, continuous identity verification techniques, and methods for improving the accuracy and usability of biometric technologies used in automatic border control systems, in ambient intelligence scenarios, and in forensic applications.

Industrial research and development

From June to November 2008, he worked for the company Harding-IT S.R.L., Crema, Italy, performing research activities on micrometric laser measurement systems. He has been involved in the study, design, experimentation, and implementation of advanced algorithms for processing signals acquired by different kinds of sensors in micrometric laser measurement machines, mainly designed for mechanic and advanced manufacturing In this collaboration, he implemented a software for the evaluation of the measurement systems uncertainty, cooperating with Prof. Giulio Barbato of Politecnico di Torino, Italy.

© 2012 Ruggero Donida Labati