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Cyber-Physical Systems

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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

Research projects

Publications

Publication year Publication Authors
2025 Fuzzy Sets-Based Approaches for Improved Medical Diagnosis: An Analysis and Overview of Major Research Directions Shukla, Amit K.; Mehra, Priyanka; Muhuri, Pranab K.
2025 A New Version of Cybercrime Taxonomy: Empirical Evidence from Finland Luomala, Mikko
2025 VSMI2‐PANet: Versatile Scale-Malleable Image Integration and Patch Wise Attention Network With Transformer for Lung Tumour Segmentation Using Multi-Modal Imaging Techniques Alqahtani, Nayef; Khan, Arfat Ahmad; Mahendran, Rakesh Kumar; Faheem, Muhammad
2025 Theorizing Community-Driven Digital Transformation Adoption: A Community Digital Transformation Enablement Framework Dang, Duong
2025 A Sociotechnical Perspective on Software-defined Networking Adoption in Large-Scale ISPs Oosterwyk, Grant; Dang, Duong; de Reuck, Sidney
2025 Impact of Artificial Intelligence on Employee Strain and Insider Deviance in Cybersecurity Anti, Emmanuel; Dang, Duong
2025 ADR-SALD: Attention-Based Deep Residual Sign Agnostic Learning With Derivatives for Implicit Surface Reconstruction Basher, Abol; Boutellier, Jani
2025 Government Roles and Dynamic Capabilities in Digital Transformation Projects Dang, Duong; Bui, Quang Neo; Pham, Son; Vartiainen, Tero; Pekkola, Samuli
2025 A Time-Efficient Solution Approach for Multi/Many-Task Reliability Redundancy Allocation Problems using the Online Transfer Parameter Estimation Based Multifactorial Evolutionary Algorithm Chowdury, Md. Abdul Malek; Nath, Rahul; Rauniyar, Amit; Shukla, Amit K.; Muhuri, Pranab K.
2025 Novice Perceptions on Effective Elements of PostgreSQL Error Messages Taipalus, Toni; Grahn, Hilkka; Ritonummi, Saima; Siitonen, Valtteri; Vartiainen, Tero; Zhidkikh, Denis

Research group leader

Research group members

Automation Technology

Kuva
Petri Välisuo

Petri Välisuo

Professor
School of Technology and Innovations / Automation Technology
Sähköposti
petri.valisuo [at] uwasa.fi
Puhelin

Information Systems Science

Telecommunications Engineering

Computer Science

Kuva

Riku Jäntti

Adjunct Professor
School of Technology and Innovations / Computer Science
Sähköposti
riku.jantti [at] uwasa.fi
Kuva

Anastasia Koivikko

Teacher
School of Technology and Innovations / Computer Science
Sähköposti
anastasia.koivikko [at] uwasa.fi
Kuva

Heikki Koivo

Adjunct Professor
School of Technology and Innovations / Computer Science
Sähköposti
heikki.koivo [at] uwasa.fi
Kuva
Heidi Kuusniemi

Heidi Kuusniemi

Adjunct Professor
School of Technology and Innovations / Computer Science
Sähköposti
heidi.kuusniemi [at] uwasa.fi
Kuva
Jouni Lampinen

Jouni Lampinen

Professor
School of Technology and Innovations / Computer Science
Sähköposti
jouni.lampinen [at] uwasa.fi
Puhelin
Kuva

Matti Linna

Adjunct Professor
School of Technology and Innovations / Computer Science
Sähköposti
matti.linna [at] uwasa.fi