This curriculum spans topics related to the fields of Information Processing Systems and Control Systems, with a specific focus on neural networks techniques in pattern recognition and on time series prediction, analysis, and filtering.
Nowadays, these techniques are widely used in many engineering applications and in decision support systems for finance and enterprise management.
The researchers and professors in the Department of Information Engineering have high competencies in most of these disciplines. However, specific topics will be covered with seminars given by academic experts in these fields coming from other universities or research institutes.
Some of the theoretical and practical topics offered to the Ph.D. candidates are:
Techniques for multivariate time series prediction for financial analysis
Integration of symbolic and sub-symbolic models for information processing
Adaptive processing of structured data
This curriculum covers the research areas related to the field of Automatic Control, and in particular: system identification; control and filtering of uncertain dynamic systems; robotics and process control.
The candidate's activity will typically concern theoretical and experimental research on topics like:
Parametric and nonparametric system identification
Estimation and filtering of uncertain systems
Hybrid systems and optimization
Advanced techniques for process control
Specific expertise on these topics are present in the Systems and Control Group of the Dipartimento di Ingegneria dell'Informazione. Stable research collaborations are active with several Italian and foreign research institutions.
This curriculum deals with mathematical modeling, simulation and
control of robotic systems. The idea of robotics behind this research
curriculum is broader than classical robotics and covers new paradigms
of robots such as collaborative agents, network of robots and advanced
sensing systems, virtual reality, biomechanics and medical
The main research lines are
- Robotics in virtual reality with special emphasis on tactile and haptic rendering;
- Grasping modeling and control for applications in robotics and biomechanics;
- Medical applications of robotics with particular emphasis in neuroscience and rehabilitation;
- Visual Servoing for anthropomorphic and mobile robots;
- Modeling and control of robotic teams;
- Simultaneous localization and mapping in robotics;
Collaborations are active with many research centers such as MIT
(USA), University of Pennsylvania (USA), Stanford University (USA) and
companies such as Force Dimension (Switzerland).