Department of Automation
Science and Engineering



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Reserch groups

Research personnel at the Department of Automation Science and Engineering consist of about 90 research scientists and research assistants.

Automation and Information Networks (AIN)

Hannu Koivisto

The research scope combines areas from system theory and intelligent systems to modern telecommunication and remoting technologies in automation. The key research topics are applied intelligent data analysis and neuro-fuzzy computation, modern telecommunication based remoting technologies in various fields of automation, and system theoretic approach to supply chain modelling and control.

Automation Software Engineering

Seppo Kuikka

The Automation Software Engineering research group studies and develops advanced software technologies for industrial control. The research methods are the constructive approach of design science as well as domain specific adaptation and application of UML. The focus is on semantic web services and advisory systems.

Micro- and Nanosystems

Pasi Kallio

The Micro- and Nanosystems research group studies and develops functional systems for cell and molecular biology, biomedical diagnostics, and paper fiber research by combining knowledge of automation and control engineering with micro and nano technologies. Our key expertise areas include micro- and nanorobotics, microfluidics, and active actuator materials.

Process Automation

Pentti Lautala

The topics of the Process Automation research group are dynamic modeling, simulation, diagnostics, and control design. The tasks of the research projects vary from dynamic analysis of industrial processes to design of advanced model based control applications.

Systems Theory

Matti Vilkko

In Systems Theory the research and teaching objectives are methods to optimize operation of dynamic systems. The Modeling and Identification research group concentrates on modeling of dynamic systems based on physics, chemistry, and data based methods.

Measurement Information and Decision Making (MID)

Risto Ritala

The group of Measurement Information and Decision Making studies the relation of measurements to decision making, in particular in industrial production. Selection, preprocessing and analysis methods of data, and decision optimization under dynamics and uncertainty are the key research topics.

Sensor Technology and Biomeasurements

Jukka Lekkala

Teaching and research of Sensor Technology include modeling and simulation, materials, manufacturing technologies, and applications of sensors. The focus of the research is in microsensors, biosensors, biomeasurements, and wireless sensing.

Measurements Based on Images (MBI)

Heimo Ihalainen

The expertise areas of our group are image capturing, image processing and image analysis to extract the essential information from the image. Precision and uncertainty of the measurement are also essential. The megatrend of digital imaging provides background of development.