Research Unit Automation Systems

Research Unit

Research Unit Automation Systems

  • E191-03
  • A research unit of the Institute of Computer Engineering

The “Internet of Things” (IoT) is commonly anticipated with numerous applications including but not limited to manufacturing, power grids, buildings, rescue and relief operations, environmental monitoring, and traffic management.

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About

The “Internet of Things” (IoT) is commonly anticipated with numerous applications including but not limited to manufacturing, power grids, buildings, rescue and relief operations, environmental monitoring, and traffic management.

Yet, complex applications in the IoT realm are inconceivable without increased mutual penetration of IT systems and automation technology. The integrated automation equipment is responsible for measuring, open and closed loop control, monitoring, supervision, diagnosis, and optimization. Following the divide and conquer paradigm, the push for distribution of processing functions is unbowed, while the heterogeneity of technologies used in automation remains a major obstacle.

On the other side, demands are made on the field of informatics to design, implement and validate (secure and safe) system architectures that allow for a seamless integration and combination of those different systems.For this reason, our research focus is put on the general theme of distributed automation and “automation systems integration”, moving away from manual integration to machine-aided solutions.

This includes the analysis and enhancement of industrial communication technologies (wired and wireless), guaranteeing specific quality of services for dependable distributed systems with safety and security in mind. Also, the integration of automation systems exploiting information modeling and knowledge representation is addressed, e.g. based on the vision and technologies of the Semantic Web.

Another aspect is the incorporation of research on safe programming languages, which by construction lead to increased safety and reliability of the created artifacts for safety-critical applications. To ensure extensibility and interoperability, additional effort is put in standardization and thus in the research of and collaboration on existing and emerging standards. Results of these research directions aim to enable not only human-to-machine but in particular genuine machine-to-machine communications, with consideration of extensibility, reliability and safety. Incarnations of the research results will thus add to applications of the “Industrial Internet of Things” (IIoT) including but not limited to the domains of cyber-physical production systems (Industry 4.0), smart grids, and intelligent buildings.

 
Johann Blieberger
Johann Blieberger J. Blieberger

Head of Research Unit
Ao.Univ.Prof. DI Dr.

Wolfgang Kastner
Wolfgang Kastner W. Kastner

Full Professor, on leave
Univ.Prof. DI Dr.

 

Amirali Amiri
Amirali Amiri A. Amiri

PostDoc Researcher
Dr. / MSc

Markus Bader
Markus Bader M. Bader

Curriculum Commission for Computer Engineering
DI Dr.

Monika di Angelo
Monika di Angelo M. di Angelo

Committee on Equal Treatment
Ass.Prof.in DI.in Mag.a Dr.in

Leonhard Esterbauer
Leonhard Esterbauer L. Esterbauer

PreDoc Researcher
DI / BSc

Valentin Philipp Just
Valentin Philipp Just V. Just

PreDoc Researcher
MSc

Martin Kjäer
Martin Kjäer M. Kjäer

PreDoc Researcher
DI / BSc

Thomas Preindl
Thomas Preindl T. Preindl

PreDoc Researcher
DI / BSc

Tobias Schwarzinger
Tobias Schwarzinger T. Schwarzinger

PreDoc Researcher
DI / BSc

Gernot Steindl
Gernot Steindl G. Steindl

PostDoc Researcher
DI DI Dr. / BSc

 

 

 

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  • Christopher Krügel: Wirtschaftskammerpreis
    2005 / Wirtschaftskammern / Austria
  • Christopher Krügel: EIB Scientific Award for Excellent Diploma Thesis
    2000 / Germany
  • Monika di Angelo: Mobilitätsstipendium der TU Wien für hervorragende Dissertation
    1989 / Lions-Förderpreis