Cyber-Physical Systems

About the research group

In today’s digitalized world, cyber-physical systems (CPS) form the backbone of smart societies, integrating computational intelligence with physical processes. These systems encompass everything from smart devices to complex industrial automation, enabling seamless interaction between the digital and physical realms.

Research Focus

to advance the design, development, and application of CPS
their integration with social systems

Our research lays the foundation for CPS through algorithmic innovations, software development, and computational modeling.

Our work spans multiple disciplines, including:

Automation and control systems
Smart Energy Harvesting and Optimization
Telecommunications and wireless networks
Data science and artificial intelligence
Information technology and cybersecurity
Computer science and software engineering
Information systems and human-CPS interaction
Space technology

We generate scientific knowledge and develop cutting-edge solutions that position CPS as essential building blocks for a smart, resilient, and sustainable society. We strive to drive technological innovation, foster interdisciplinary collaboration, and address complex challenges in CPS development.

Recognising the critical role of CPS in modern society, we have identified key research areas that align with our mission and societal needs.

Latest updates

Dissertation 20.11.2025

An integrated approach to cybersecurity is key to reducing critical infrastructure vulnerability

News 13.03.2025

New AI project aims to prevent cyberattacks on wireless networks

News 27.01.2025

University of Vaasa awarded its best research and teaching acts

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Dissertations

26.11.2025

Public Defence: Bahaa Eltahawy (Telecommunications Engineering )

Dissertations

2.12.2025

Public Defence: Emmanuel Anti (Information Systems)

Seminars and conferences

3.-7.10.2026

NordiCHI 2026 – Nordic Conference on Human-Computer Interaction

Vaasa

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Research projects

Publications

Publication year	Publication	Authors
2025	Large Language Models With Contrastive Decoding Algorithm for Hallucination Mitigation in Low-Resource Languages	Hongying, Zan; Javed, Arifa; Abdullah, Muhammad; Rashid, Javed; Faheem, Muhammad
2025	Towards a framework for improving cyber security resilience of critical infrastructure against cyber threats: a dynamic capabilities approach	Järveläinen, Jonna; Dang, Duong; Mekkanen, Mike; Vartiainen, Tero
2025	Reinforcement learning for data center energy efficiency optimization: A systematic literature review and research roadmap	Kahil, Hussain; Sharma, Shiva; Välisuo, Petri; Elmusrati, Mohammed
2025	Machine learning explainability for survival outcome in head and neck squamous cell carcinoma	Alabi, Rasheed Omobolaji; Mäkitie, Antti A.; Elmusrati, Mohammed; Almangush, Alhadi; Ehrsson, Ylva Tiblom; Laurell, Göran
2025	Technology-Assisted Literature Reviews with Technology of Artificial Intelligence: Ethical and Credibility Challenges	Luomala, Mikko; Naarmala, Jyri; Tuomi, Ville
2025	Cyber physical system security roadmap for critical infrastructures	Mekkanen, Mike; Vartiainen, Tero; Yang, Chen-Wei; Vyatkin, Valeriy
2025	State of Charge Estimation for Lithium-Ion Batteries in Hybrid Vessels Using Kalman Filters	Elsanhoury, Mahmoud; Koljonen, Janne; Elmusrati, Mohammed; Niemi, Seppo
2025	Digital Innovation as a Management Trend: A Case Study on the Adoption of Smart City Initiatives	Dang, Duong
2025	HYRIDE: HYbrid and Robust Intrusion DEtection Approach for Enhancing Cybersecurity in Industry 4.0	Srivastav, Shubham; Shukla, Amit K.; Kumar, Sandeep; Muhuri, Pranab K.
2025	Exploring Effects of Uncertainty Avoidance in Self-Service Technology User Interface Design in Japan and Finland	Mäkipää, Juho-Pekka; Rousi, Rebekah; Vartiainen, Tero