Research is made into the IIIA framework.
The research groups of the Department are:

BCDS:
Network Management
Routing & CAC (Connection Admission Control)
Network Management (based on Software Agents)
New Generation Internet Router queuing strategies
Charging of QoS services
New protocols (IPv6, RSVP, DiffServ, MPLS,...)
Open Distance Learning
Web-based platform
Adaptive Applications


eXiT: The eXiT group develops active research in the field of process supervision with emphasis on the integration of methods and techniques to assess process behaviour from measurements and experience reuse based on the following main points:

• Case Based Diagnosis: a daptation of Case Based Reasoning (CBR) methodology into the domain of dynamic process with emphasis on diagnosis; definition of similarity criteria between signals; reuse of past experiences.
• Multivariate statistical process control: adaptation of these formalisms to model fault detection and diagnosis of batch process.
• Qualitative representation of trends: definition, formalization and development of numeric to qualitative interfaces; representation of signals as sequences of episodes necessary to deal with knowledge based approaches.
• Knowledge discovering in data bases for situation assessment.


Computer Vision and Robotics Group: The Computer Vision and Robotics Group develops real time computer vision and image processing systems with applications such as object, pattern, colour and shape recognition and tracking of mobile objects. One of the main application areas is the control quality of industrial products. Other fields of application are biomedicine and security-related systems. The computer vision systems are also the main source of information for the robots developed by the group. Some of them aim to improve the autonomy and mobility of disabled people, while others are autonomous teleoperated vehicles with industrial and research applications. The autonomous teleoperated robots have transport, industrial and security-related applications.


Agents: The Agents Research Lab is concerned with the development and analysis of AI techniques and control architectures for both single-agent and multiple-agent systems. The origin of our group lies in the application of Artificial Intelligence to control and supervision. Along these lines, the group has participated in the Robocup since 1995, achieving successful results in the development of physical agents. Such agents have specific properties provided that they have bodies and interact with the environment and need to adapt their behaviour to the new circumstances they encounter. Currently, we are applying these particular properties of physical agents to personalised agents.


MiceLab : The imprecision and the uncertainty of complex systems can be represented in many cases by interval models. The core of our research is to develop methods and tools based on interval analysis to deal with this kind of system. Methods to study the robustness of uncertain control systems, to design robust controllers for these systems and simulate their behaviour have been developed and implemented using symbolic, numeric and interval computation.