Department of Electrical Engineering and Automation

Information Technologies in Industrial Automation

The engineering of software-intensive automation systems is the research focus in our group.
We investigate enablers of future smart factories (Industry 4.0) from the industrial manufacturing, continuous processes, and energy management perspectives.
Industrial gripper picture

The focus areas of research in our group are various aspects of information technology applications in industrial automation. We investigate enablers for future smart factories, as a critical part of the concept commonly known as the 4th industrial revolution or Industry 4.0. Besides, we lead the development of the Aalto Factory of the Future demonstrator.

Among our topics of interest are:

  1. How to control future factories by networks of wirelessly connected microcomputers? And how to develop software for such networks? The exceptional complexity of software development in the manufacturing and process industry inspires us to look for methods of plug-and-play software composition or its automatic generation.
  2. The applications of artificial intelligence techniques in industrial environments for recognizing or predicting dangerous situations and process uncertainties.
  3. Virtual twins of industrial systems, such as simulation models of individual processes and entire plants. Future factories will demand a higher degree of safety and security, achievable by applying modern methods of behavior analysis, relying on the enormous processing power of distributed computing and supercomputers.

Recently the group has invested heavily into energy automation. The main focus is on the Internet of Energy - the IT-enabled energy production and exchange infrastructure based on prosumers. Smart grid research interests are multi-agent control and security and integration of applications such as smart lighting. We also research the safety of current and future energy systems, including nuclear automation.

We are involved in research projects funded by Academy of Finland, Business Finland, the European Union, the Finnish Nuclear Waste Management Fund (VYR), and other funding organizations. The group collaborates with many research partners around the globe. Find more details on our research website.

Professor Valeriy Vyatkin is the leader of the group.

People

Staff

Valeriy Vyatkin - Professor
Tommi Karhela - Visiting professor in computer simulation technology
Seppo Sierla   - University lecturer
Ilkka Seilonen - Research scientist
Udayanto Atmojo - Staff scientist
Taneli Hölttä   - Innovation advisor
Niko Karhula - Research assistant

Doctoral candidates

Polina Ovsiannikova
Mohammad Arash Azangoo
Ronal Bejarano Rodriguez
Tuojian Lyu
Rakshith Subramanya
Jifei Deng
Pranay Jhunjhunwala

Graduated doctoral candidates:

Igor Buzhinskii  
Thesis: Combined use of formal methods for reliability assurance of safety-critical software systems
Defended: 28/06/2019

Gerardo Santillán Martínez
Thesis: Simulation-based digital twins of industrial process plants: A semi-automatic implementation approach
Defended: 07/06/2019

Christian Giovanelli
Thesis: Aggregating domestic energy storage resources to participate in frequency containment reserves
Defended: 15/03/2019

Olli Kilkki
Thesis: Optimizing Demand Response of Aggregated Residential Energy Storages
Defended: 10/12/2018

Evgeny Nefedov
Thesis: Collaborative energy management systems: design and evaluation for intelligent buildings, electric vehicles and street lighting
Defended: 27/04/2018

Research Projects

Latest publications

Mirrorlabs - creating accessible Digital Twins of robotic production environment with Mixed Reality

Doris Aschenbrenner, Jonas Rieder, Danielle van Tol, Joris van Dam, Zoltan Rustak, Jan Blech, Mohammad Azangoo, Panu Salo, Karl Kruusamae, Houman Masnavi, Igor Rybalskii, Alvo Aabloo, Marcelo Petry, Gustavo Teixeira, Bastian Thiede, Paolo Pedrazzoli, Andrea Ferrario, Michele Foletti, Matteo Confalonieri, Daniele Bertaggia, Thodoris Togias, Sotiris Makris 2021 Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020

Metrics and methods for robustness evaluation of neural networks with generative models

Igor Buzhinsky, Arseny Nerinovsky, Stavros Tripakis 2021 Machine Learning

Evaluation of Permutation-Based Mutation Operators on the Problem of Automatic Connection Matching in Closed-Loop Control System

Vladimir Mironovich, Maxim Buzdalov, Valeriy Vyatkin 2021 Studies in Fuzziness and Soft Computing, STUDFUZZ

Oeritte

Polina Ovsiannikova, Igor Buzhinsky, Antti Pakonen, Valeriy Vyatkin 2021 IEEE Access

Visual counterexample explanation for model checking with OERITTE

Polina Ovsiannikova, Igor Buzhinsky, Antti Pakonen, Valeriy Vyatkin 2021 Proceedings of 2020 25th International Conference on Engineering of Complex Computer Systems, ICECCS 2020

Model checking reveals design issues leading to spurious actuation of nuclear instrumentation and control systems

Antti Pakonen, I. Buzhinsky, K. Björkman 2021 Reliability Engineering and System Safety

Safety and security assessment of overall I&C architectures (SEARCH)

Antti Pakonen, Jarmo Alanen, Igor Buzhinskii, Atte Helminen, Joonas Linnosmaa, Timo Malm, Polina Ovsiannikova, Nikolaos Papakonstantinou, Valeriy Vyatkin 2021 SAFIR2022 - The Finnish Research Programme on Nuclear Power Plant Safety 2019-2022

A Virtual Power Plant Solution for Aggregating Photovoltaic Systems and Other Distributed Energy Resources for Northern European Primary Frequency Reserves

Rakshith Subramanya, Matti Yli-Ojanpera, Seppo Sierla, Taneli Holtta, Jori Valtakari, Valeriy Vyatkin 2021 Energies

A plug and produce-inspired approach in distributed control architecture

Udayanto Dwi Atmojo, Jan Olaf Blech, Valeriy Vyatkin 2020 Proceedings of the 2020 IEEE International Conference on Industrial Technology, ICIT 2020

A service-oriented programming approach for dynamic distributed manufacturing systems

Udayanto Dwi Atmojo, Zoran Salcic, Kevin I-Kai Wang, Valeriy Vyatkin 2020 IEEE Transactions on Industrial Informatics
More information on our research in the Research database.
Research database
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