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.
  4. Research on the safety and security of current and future energy systems, including nuclear automation.
  5. Enablers for 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 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

Bidding a Battery on Electricity Markets and Minimizing Battery Aging Costs: A Reinforcement Learning Approach

Harri Aaltonen, Seppo Sierla, Ville Kyrki, Mahdi Pourakbari‐kasmaei, Valeriy Vyatkin 2022 Energies

An overview of machine learning applications for smart buildings

Kari Alanne, Seppo Sierla 2022 Sustainable Cities and Society

A Methodology for Generating a Digital Twin for Process Industry: A Case Study of a Fiber Processing Pilot Plant

Mohammad Azangoo, Lotta Sorsamaki, Seppo A. Sierla, Teemu Matasniemi, Miia Rantala, Kari Rainio, Valeriy Vyatkin 2022 IEEE Access

Imbalanced multiclass classification with active learning in strip rolling process

Jifei Deng, Jie Sun, Wen Peng, Dianhua Zhang, Valeriy Vyatkin 2022 KNOWLEDGE-BASED SYSTEMS

Reinforcement learning for industrial process control

Jifei Deng, Seppo Sierla, Jie Sun, Valeriy Vyatkin 2022 Computers in Industry

On Modelling of Edge Datacentre Microgrid for Participation in Smart Energy Infrastructures

Nikolai Galkin, Chen-Wei Yang, Yulia Berezovskaya, Mattias Vesterlund, Valeriy Vyatkin 2022 IEEE Open Journal of the Industrial Electronics Society

Monitoring design pattern for distributed automation systems in IEC 61499 and its formal modelling

Pranay Jhunjhunwala, Alois Zoitl, Udayanto Dwi Atmojo, Valeriy Vyatkin 2022 2022 IEEE 31st International Symposium on Industrial Electronics, ISIE 2022

On enhancing reconfigurability of I/O connection and access in IEC 61499

Tuojian Lyu, Udayanto Dwi Atmojo, Valeriy Vyatkin 2022 2022 IEEE 31st International Symposium on Industrial Electronics, ISIE 2022

Whitening CNN-Based Rotor System Fault Diagnosis Model Features

Jesse Miettinen, Riku-Pekka Nikula, Joni Keski-Rahkonen, Fredrik Fagerholm, Tuomas Tiainen, Seppo Sierla, Raine Viitala 2022 APPLIED SCIENCES
More information on our research in the Research database.
Research database
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