Invited Sessions

Invited session Title: Advances in Real Time Process Control and Applications


Dumitru Popescu, University Politehnica of Bucharest, 

Ciprian Lupu, University Politehnica of Bucharest

Invited Session Code: y64vw

The session is opened for research presentations that bring interesting, relevant scientific work and innovative contributions in the field of modern process control and applications. The session provides opportunities for researchers and specialists to offer their recent developments and results in control and diagnosis, applied in different domains with technical and economic interest: Energy, Chemistry, Petro-chemistry, Aerospace, Transport, Automotive, Biotechnology, Communications etc.  We evaluate and discuss during this session performance and security issues that arise in process exploitation and management and optimization in real-time applications, by means of automatic control resources and information support. Appreciated papers should offer modern solutions related to control of systems structures, supported by an adequate theoretical background, implemented, and validated in simulation and on industrial applications.

Invited session Title: Complex data processing for monitoring, diagnosis, and control


Dan Popescu, University Politehnica of Bucharest,

Loretta Ichim, University Politehnica of Bucharest, and “Stefan S. Nicolau” Institute of Virology, Bucharest

Invited Session Code: 58ir5

The session aims to underline the intrinsic connection between complex data processing, on the one hand, and two important actions in different fields: monitoring and control, on the other hand. The applications of complex images (like texture and fractals), time series, and neural networks in many domains (industry, medicine, agriculture, environment, transportation, and so on) need interdisciplinary knowledge and effectively solve many encountered problems. This session provides a forum for researchers and practitioners to present and discuss advances in the research and development of intelligent systems for complex data processing and interpretation based on efficient feature selection and neural networks in the field of monitoring, control, and diagnosis. All session papers need to have a high scientific level and will be selected based on their relevance to the session topics. The included topics are the following (but not limited): Criteria for feature selection, Image processing for real-time control, Traffic control based on images, Medical diagnostic systems based on complex data processing, Assistive technologies based on data processing, UAV and robot guidance based on image interpretation, Quality control based on image processing, Texture analysis, Parallel processing of data, Neural networks for data classification and prediction.